Overview

Dataset statistics

Number of variables	56
Number of observations	682
Missing cells	11078
Missing cells (%)	29.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	268.7 KiB
Average record size in memory	403.4 B

Variable types

DateTime	1
Categorical	19
Numeric	20
Unsupported	2
Text	14

Alerts

`Bonus (EUR)` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 3 other fields	High correlation
`Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` is highly overall correlated with `Bonus (EUR)` and 7 other fields	High correlation
`Kaupunki` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Kk-tulot (laskennallinen)` is highly overall correlated with `Kk-tulot (laskennallinen, normalisoitu)` and 6 other fields	High correlation
`Kk-tulot (laskennallinen, normalisoitu)` is highly overall correlated with `Kk-tulot (laskennallinen)` and 5 other fields	High correlation
`Kuinka suuren osan ajasta teet lähityönä toimistolla?` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Kuukausipalkka` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 7 other fields	High correlation
`Laskutettavat tunnit viikossa` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Laskutustavat` is highly overall correlated with `Bonus (EUR)` and 7 other fields	High correlation
`Lomaraha (EUR)` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 8 other fields	High correlation
`Luontoisedut` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Millaisessa yrityksessä työskentelet?` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Mistä asiakkaat ovat?` is highly overall correlated with `Bonus (EUR)` and 9 other fields	High correlation
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` is highly overall correlated with `Palkansaaja vai laskuttaja` and 2 other fields	High correlation
`Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Osakkeet/optiot (EUR)` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 3 other fields	High correlation
`Palkansaaja vai laskuttaja` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 21 other fields	High correlation
`Provisio (kk, brutto)` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 3 other fields	High correlation
`Seniority` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Siirtynyt palkansaaja/laskuttaja` is highly overall correlated with `Montako vuotta olet tehnyt laskuttavaa työtä alalla?`	High correlation
`Sopimuksen pituus` is highly overall correlated with `Bonus (EUR)` and 6 other fields	High correlation
`Tulojen muutos viime vuodesta (%)` is highly overall correlated with `Mistä asiakkaat ovat?`	High correlation
`Tuntilaskutus (ALV 0%, euroina)` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Työaika` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Työkokemus alalta (vuosina)` is highly overall correlated with `Kk-tulot (laskennallinen)` and 4 other fields	High correlation
`Työpaikkojen lukumäärä` is highly overall correlated with `Kk-tulot (laskennallinen)` and 2 other fields	High correlation
`Viikot ilman laskutusta` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Virallinen senioriteetti` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Vuosia nykyisellä työnantajalla` is highly overall correlated with `Montako vuotta olet tehnyt laskuttavaa työtä alalla?`	High correlation
`Vuosilaskutus (ALV 0%, euroina)` is highly overall correlated with `Palkansaaja vai laskuttaja` and 1 other fields	High correlation
`Vuosittaiset verovapaat edut (EUR)` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Vuositulot` is highly overall correlated with `Kk-tulot (laskennallinen)` and 6 other fields	High correlation
`Siirtynyt palkansaaja/laskuttaja` is highly imbalanced (79.4%)	Imbalance
`Sukupuoli` is highly imbalanced (67.2%)	Imbalance
`Suomen kielen taito` is highly imbalanced (88.8%)	Imbalance
`Työkieli` is highly imbalanced (50.3%)	Imbalance
`Opintoala` is highly imbalanced (69.1%)	Imbalance
`Laskutustavat` is highly imbalanced (56.8%)	Imbalance
`Kaupunki` is highly imbalanced (55.1%)	Imbalance
`Vuosia nykyisellä työnantajalla` has 9 (1.3%) missing values	Missing
`Työpaikkojen lukumäärä` has 12 (1.8%) missing values	Missing
`Opintoala` has 36 (5.3%) missing values	Missing
`Tulojen muutos viime vuodesta (%)` has 111 (16.3%) missing values	Missing
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` has 591 (86.7%) missing values	Missing
`Palvelut` has 595 (87.2%) missing values	Missing
`Tuntilaskutus (ALV 0%, euroina)` has 600 (88.0%) missing values	Missing
`Vuosilaskutus (ALV 0%, euroina)` has 602 (88.3%) missing values	Missing
`Laskutettavat tunnit viikossa` has 598 (87.7%) missing values	Missing
`Viikot ilman laskutusta` has 599 (87.8%) missing values	Missing
`Laskutustavat` has 592 (86.8%) missing values	Missing
`Sopimuksen pituus` has 593 (87.0%) missing values	Missing
`Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` has 594 (87.1%) missing values	Missing
`Mistä asiakkaat ovat?` has 592 (86.8%) missing values	Missing
`Työpaikka` has 534 (78.3%) missing values	Missing
`Kaupunki` has 100 (14.7%) missing values	Missing
`Millaisessa yrityksessä työskentelet?` has 97 (14.2%) missing values	Missing
`Työaika` has 97 (14.2%) missing values	Missing
`Kuinka suuren osan ajasta teet lähityönä toimistolla?` has 97 (14.2%) missing values	Missing
`Rooli` has 95 (13.9%) missing values	Missing
`Seniority` has 100 (14.7%) missing values	Missing
`Virallinen senioriteetti` has 108 (15.8%) missing values	Missing
`Vapaa kuvaus kokonaiskompensaatiomallista` has 591 (86.7%) missing values	Missing
`Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?` has 100 (14.7%) missing values	Missing
`Bonukset (kuvaus)` has 131 (19.2%) missing values	Missing
`Edut (ei luontoisedut)` has 104 (15.2%) missing values	Missing
`Vuosittaiset verovapaat edut (EUR)` has 318 (46.6%) missing values	Missing
`Luontoisedut` has 177 (26.0%) missing values	Missing
`Käyttöjärjestelmä` has 9 (1.3%) missing values	Missing
`Ohjelmointikieli` has 63 (9.2%) missing values	Missing
`Web-kehykset` has 195 (28.6%) missing values	Missing
`Data & ML` has 252 (37.0%) missing values	Missing
`DevOps & pilvi` has 73 (10.7%) missing values	Missing
`Tietokannat` has 131 (19.2%) missing values	Missing
`Vapaa sana` has 647 (94.9%) missing values	Missing
`Palaute` has 633 (92.8%) missing values	Missing
`Vuositulot` has 94 (13.8%) missing values	Missing
`Kk-tulot (laskennallinen)` has 94 (13.8%) missing values	Missing
`Kk-tulot (laskennallinen, normalisoitu)` has 99 (14.5%) missing values	Missing
`Provisio (kk, brutto)` is highly skewed (γ1 = 23.75138568)	Skewed
`Timestamp` has unique values	Unique
`Vastaustunniste` has unique values	Unique
`Yrityksen koko` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Vapaa kuvaus kokonaiskompensaatiomallista` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Vuosia nykyisellä työnantajalla` has 55 (8.1%) zeros	Zeros
`Tulojen muutos viime vuodesta (%)` has 127 (18.6%) zeros	Zeros
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` has 7 (1.0%) zeros	Zeros
`Kuinka suuren osan ajasta teet lähityönä toimistolla?` has 71 (10.4%) zeros	Zeros
`Kuukausipalkka` has 94 (13.8%) zeros	Zeros
`Provisio (kk, brutto)` has 606 (88.9%) zeros	Zeros
`Lomaraha (EUR)` has 235 (34.5%) zeros	Zeros
`Bonus (EUR)` has 517 (75.8%) zeros	Zeros
`Osakkeet/optiot (EUR)` has 620 (90.9%) zeros	Zeros
`Vuosittaiset verovapaat edut (EUR)` has 29 (4.3%) zeros	Zeros

Reproduction

Analysis started	2026-03-12 15:31:02.641656
Analysis finished	2026-03-12 15:31:31.359162
Duration	28.72 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

Timestamp
Date

Unique

Distinct	682
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	10.7 KiB

Minimum	2026-02-09 08:08:48.457000
Maximum	2026-03-03 16:36:20.497000
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Palkansaaja vai laskuttaja
Categorical

High correlation

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.1 KiB

Palkansaaja	590
Laskuttaja	92

Length

Max length	11
Median length	11
Mean length	10.865103
Min length	10

Characters and Unicode

Total characters	7410
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Laskuttaja
2nd row	Palkansaaja
3rd row	Palkansaaja
4th row	Palkansaaja
5th row	Palkansaaja

Common Values

Value	Count	Frequency (%)
Palkansaaja	590	86.5%
Laskuttaja	92	13.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
palkansaaja	590	86.5%
laskuttaja	92	13.5%

Most occurring characters

Value	Count	Frequency (%)
a	3226	43.5%
k	682	9.2%
j	682	9.2%
s	682	9.2%
P	590	8.0%
l	590	8.0%
n	590	8.0%
t	184	2.5%
L	92	1.2%
u	92	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7410	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3226	43.5%
k	682	9.2%
j	682	9.2%
s	682	9.2%
P	590	8.0%
l	590	8.0%
n	590	8.0%
t	184	2.5%
L	92	1.2%
u	92	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7410	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3226	43.5%
k	682	9.2%
j	682	9.2%
s	682	9.2%
P	590	8.0%
l	590	8.0%
n	590	8.0%
t	184	2.5%
L	92	1.2%
u	92	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7410	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3226	43.5%
k	682	9.2%
j	682	9.2%
s	682	9.2%
P	590	8.0%
l	590	8.0%
n	590	8.0%
t	184	2.5%
L	92	1.2%
u	92	1.2%

Siirtynyt palkansaaja/laskuttaja
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	0.4%
Missing	1
Missing (%)	0.1%
Memory size	6.1 KiB

Ei	648
palkansaaja → laskuttaja	20
laskuttaja → palkansaaja	13

Length

Max length	24
Median length	2
Mean length	3.0660793
Min length	2

Characters and Unicode

Total characters	2088
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ei
2nd row	Ei
3rd row	Ei
4th row	Ei
5th row	Ei

Common Values

Value	Count	Frequency (%)
Ei	648	95.0%
palkansaaja → laskuttaja	20	2.9%
laskuttaja → palkansaaja	13	1.9%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ei	648	86.7%
palkansaaja	33	4.4%
→	33	4.4%
laskuttaja	33	4.4%

Most occurring characters

Value	Count	Frequency (%)
E	648	31.0%
i	648	31.0%
a	264	12.6%
l	66	3.2%
k	66	3.2%
t	66	3.2%
s	66	3.2%
j	66	3.2%
	66	3.2%
p	33	1.6%
Other values (3)	99	4.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2088	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	648	31.0%
i	648	31.0%
a	264	12.6%
l	66	3.2%
k	66	3.2%
t	66	3.2%
s	66	3.2%
j	66	3.2%
	66	3.2%
p	33	1.6%
Other values (3)	99	4.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2088	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	648	31.0%
i	648	31.0%
a	264	12.6%
l	66	3.2%
k	66	3.2%
t	66	3.2%
s	66	3.2%
j	66	3.2%
	66	3.2%
p	33	1.6%
Other values (3)	99	4.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2088	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	648	31.0%
i	648	31.0%
a	264	12.6%
l	66	3.2%
k	66	3.2%
t	66	3.2%
s	66	3.2%
j	66	3.2%
	66	3.2%
p	33	1.6%
Other values (3)	99	4.7%

Ikä
Categorical

Distinct	9
Distinct (%)	1.3%
Missing	1
Missing (%)	0.1%
Memory size	6.4 KiB

38	197
33	164
43	131
28	80
48	68
53	20
23	15
> 55v	4
18	2

Length

Max length	5
Median length	2
Mean length	2.0176211
Min length	2

Characters and Unicode

Total characters	1374
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	38
2nd row	48
3rd row	38
4th row	28
5th row	43

Common Values

Value	Count	Frequency (%)
38	197	28.9%
33	164	24.0%
43	131	19.2%
28	80	11.7%
48	68	10.0%
53	20	2.9%
23	15	2.2%
> 55v	4	0.6%
18	2	0.3%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
38	197	28.8%
33	164	23.9%
43	131	19.1%
28	80	11.7%
48	68	9.9%
53	20	2.9%
23	15	2.2%
	4	0.6%
55v	4	0.6%
18	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
3	691	50.3%
8	347	25.3%
4	199	14.5%
2	95	6.9%
5	28	2.0%
>	4	0.3%
	4	0.3%
v	4	0.3%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1374	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	691	50.3%
8	347	25.3%
4	199	14.5%
2	95	6.9%
5	28	2.0%
>	4	0.3%
	4	0.3%
v	4	0.3%
1	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1374	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	691	50.3%
8	347	25.3%
4	199	14.5%
2	95	6.9%
5	28	2.0%
>	4	0.3%
	4	0.3%
v	4	0.3%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1374	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	691	50.3%
8	347	25.3%
4	199	14.5%
2	95	6.9%
5	28	2.0%
>	4	0.3%
	4	0.3%
v	4	0.3%
1	2	0.1%

Sukupuoli
Categorical

Imbalance

Distinct	4
Distinct (%)	0.6%
Missing	1
Missing (%)	0.1%
Memory size	6.2 KiB

mies	592
nainen	76
Prefer not to say	8
muu	5

Length

Max length	17
Median length	4
Mean length	4.3685756
Min length	3

Characters and Unicode

Total characters	2975
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	mies
2nd row	mies
3rd row	mies
4th row	mies
5th row	mies

Common Values

Value	Count	Frequency (%)
mies	592	86.8%
nainen	76	11.1%
Prefer not to say	8	1.2%
muu	5	0.7%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mies	592	84.0%
nainen	76	10.8%
prefer	8	1.1%
not	8	1.1%
to	8	1.1%
say	8	1.1%
muu	5	0.7%

Most occurring characters

Value	Count	Frequency (%)
e	684	23.0%
i	668	22.5%
s	600	20.2%
m	597	20.1%
n	236	7.9%
a	84	2.8%
	24	0.8%
r	16	0.5%
t	16	0.5%
o	16	0.5%
Other values (4)	34	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2975	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	684	23.0%
i	668	22.5%
s	600	20.2%
m	597	20.1%
n	236	7.9%
a	84	2.8%
	24	0.8%
r	16	0.5%
t	16	0.5%
o	16	0.5%
Other values (4)	34	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2975	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	684	23.0%
i	668	22.5%
s	600	20.2%
m	597	20.1%
n	236	7.9%
a	84	2.8%
	24	0.8%
r	16	0.5%
t	16	0.5%
o	16	0.5%
Other values (4)	34	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2975	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	684	23.0%
i	668	22.5%
s	600	20.2%
m	597	20.1%
n	236	7.9%
a	84	2.8%
	24	0.8%
r	16	0.5%
t	16	0.5%
o	16	0.5%
Other values (4)	34	1.1%

Suomen kielen taito
Categorical

Imbalance

Distinct	3
Distinct (%)	0.4%
Missing	3
Missing (%)	0.4%
Memory size	10.7 KiB

Yes	662
No	16
Prefer not to say	1

Length

Max length	17
Median length	3
Mean length	2.9970545
Min length	2

Characters and Unicode

Total characters	2035
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Yes
2nd row	Yes
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	662	97.1%
No	16	2.3%
Prefer not to say	1	0.1%
(Missing)	3	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	662	97.1%
no	16	2.3%
prefer	1	0.1%
not	1	0.1%
to	1	0.1%
say	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	664	32.6%
s	663	32.6%
Y	662	32.5%
o	18	0.9%
N	16	0.8%
	3	0.1%
r	2	0.1%
t	2	0.1%
P	1	< 0.1%
f	1	< 0.1%
Other values (3)	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2035	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	664	32.6%
s	663	32.6%
Y	662	32.5%
o	18	0.9%
N	16	0.8%
	3	0.1%
r	2	0.1%
t	2	0.1%
P	1	< 0.1%
f	1	< 0.1%
Other values (3)	3	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2035	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	664	32.6%
s	663	32.6%
Y	662	32.5%
o	18	0.9%
N	16	0.8%
	3	0.1%
r	2	0.1%
t	2	0.1%
P	1	< 0.1%
f	1	< 0.1%
Other values (3)	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2035	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	664	32.6%
s	663	32.6%
Y	662	32.5%
o	18	0.9%
N	16	0.8%
	3	0.1%
r	2	0.1%
t	2	0.1%
P	1	< 0.1%
f	1	< 0.1%
Other values (3)	3	0.1%

Työkieli
Categorical

Imbalance

Distinct	10
Distinct (%)	1.5%
Missing	2
Missing (%)	0.3%
Memory size	10.7 KiB

Both	288
Finnish	203
English	182
Organisation’s official language is English, but with customers I mainly use Finnish	1
Norwegian	1
Swedish, finnish	1
Finnish, English both	1
swedish	1
I don't understand what this question is trying to ask	1
Swedish	1

Length

Max length	84
Median length	7
Mean length	5.9485294
Min length	4

Characters and Unicode

Total characters	4045
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	1.0%

Sample

1st row	Both
2nd row	Both
3rd row	Both
4th row	Both
5th row	Finnish

Common Values

Value	Count	Frequency (%)
Both	288	42.2%
Finnish	203	29.8%
English	182	26.7%
Organisation’s official language is English, but with customers I mainly use Finnish	1	0.1%
Norwegian	1	0.1%
Swedish, finnish	1	0.1%
Finnish, English both	1	0.1%
swedish	1	0.1%
I don't understand what this question is trying to ask	1	0.1%
Swedish	1	0.1%
(Missing)	2	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
both	289	41.1%
finnish	206	29.3%
english	184	26.2%
swedish	3	0.4%
is	2	0.3%
i	2	0.3%
organisation’s	1	0.1%
language	1	0.1%
official	1	0.1%
with	1	0.1%
Other values (13)	13	1.8%

Most occurring characters

Value	Count	Frequency (%)
h	685	16.9%
i	611	15.1%
n	606	15.0%
s	405	10.0%
t	300	7.4%
o	296	7.3%
B	288	7.1%
F	205	5.1%
g	189	4.7%
l	187	4.6%
Other values (22)	273	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4045	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	685	16.9%
i	611	15.1%
n	606	15.0%
s	405	10.0%
t	300	7.4%
o	296	7.3%
B	288	7.1%
F	205	5.1%
g	189	4.7%
l	187	4.6%
Other values (22)	273	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4045	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	685	16.9%
i	611	15.1%
n	606	15.0%
s	405	10.0%
t	300	7.4%
o	296	7.3%
B	288	7.1%
F	205	5.1%
g	189	4.7%
l	187	4.6%
Other values (22)	273	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4045	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	685	16.9%
i	611	15.1%
n	606	15.0%
s	405	10.0%
t	300	7.4%
o	296	7.3%
B	288	7.1%
F	205	5.1%
g	189	4.7%
l	187	4.6%
Other values (22)	273	6.7%

Työkokemus alalta (vuosina)
Real number (ℝ)

High correlation

Distinct	34
Distinct (%)	5.0%
Missing	2
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	13.080882

Minimum	0
Maximum	42
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	7
median	12
Q3	18
95-th percentile	26
Maximum	42
Range	42
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	7.0715418
Coefficient of variation (CV)	0.54060128
Kurtosis	-0.19620868
Mean	13.080882
Median Absolute Deviation (MAD)	5
Skewness	0.64833142
Sum	8895
Variance	50.006703
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
10	60	8.8%
15	59	8.7%
8	50	7.3%
20	49	7.2%
7	42	6.2%
6	39	5.7%
5	37	5.4%
12	35	5.1%
9	30	4.4%
4	27	4.0%
Other values (24)	252	37.0%

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	9	1.3%
3	15	2.2%
4	27	4.0%
5	37	5.4%
6	39	5.7%
7	42	6.2%
8	50	7.3%
9	30	4.4%

Value	Count	Frequency (%)
42	1	0.1%
32	1	0.1%
31	1	0.1%
30	10	1.5%
29	2	0.3%
28	9	1.3%
27	8	1.2%
26	14	2.1%
25	24	3.5%
24	5	0.7%

Vuosia nykyisellä työnantajalla
Real number (ℝ)

High correlation Missing Zeros

Distinct	22
Distinct (%)	3.3%
Missing	9
Missing (%)	1.3%
Infinite	0
Infinite (%)	0.0%
Mean	4.3640416

Minimum	0
Maximum	26
Zeros	55
Zeros (%)	8.1%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	6
95-th percentile	12
Maximum	26
Range	26
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.8062859
Coefficient of variation (CV)	0.87219285
Kurtosis	3.5907079
Mean	4.3640416
Median Absolute Deviation (MAD)	2
Skewness	1.6478622
Sum	2937
Variance	14.487812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
3	109	16.0%
1	106	15.5%
4	94	13.8%
5	73	10.7%
2	67	9.8%
0	55	8.1%
8	32	4.7%
7	32	4.7%
6	25	3.7%
10	24	3.5%
Other values (12)	56	8.2%

Value	Count	Frequency (%)
0	55	8.1%
1	106	15.5%
2	67	9.8%
3	109	16.0%
4	94	13.8%
5	73	10.7%
6	25	3.7%
7	32	4.7%
8	32	4.7%
9	8	1.2%

Value	Count	Frequency (%)
26	1	0.1%
20	2	0.3%
19	1	0.1%
18	5	0.7%
17	3	0.4%
16	2	0.3%
15	3	0.4%
14	6	0.9%
13	9	1.3%
12	7	1.0%

Työpaikkojen lukumäärä
Real number (ℝ)

High correlation Missing

Distinct	15
Distinct (%)	2.2%
Missing	12
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	3.9761194

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	8
Maximum	20
Range	19
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.1739104
Coefficient of variation (CV)	0.54674172
Kurtosis	5.9487015
Mean	3.9761194
Median Absolute Deviation (MAD)	1
Skewness	1.6094011
Sum	2664
Variance	4.7258863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
3	141	20.7%
4	135	19.8%
2	123	18.0%
5	93	13.6%
6	53	7.8%
1	51	7.5%
7	34	5.0%
8	18	2.6%
10	12	1.8%
9	4	0.6%
Other values (5)	6	0.9%
(Missing)	12	1.8%

Value	Count	Frequency (%)
1	51	7.5%
2	123	18.0%
3	141	20.7%
4	135	19.8%
5	93	13.6%
6	53	7.8%
7	34	5.0%
8	18	2.6%
9	4	0.6%
10	12	1.8%

Value	Count	Frequency (%)
20	1	0.1%
15	1	0.1%
14	1	0.1%
12	1	0.1%
11	2	0.3%
10	12	1.8%
9	4	0.6%
8	18	2.6%
7	34	5.0%
6	53	7.8%

Yrityksen koko
Unsupported

Rejected Unsupported

Missing	4
Missing (%)	0.6%
Memory size	10.7 KiB

Koulutustaustasi
Categorical

Distinct	9
Distinct (%)	1.3%
Missing	1
Missing (%)	0.1%
Memory size	10.7 KiB

Master’s degree – university (FM, KTM, DI, etc.)	299
Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	161
Bachelor’s degree – university (kandidaatti / alempi korkeakoulututkinto)	82
Upper secondary – general (lukio / high school equivalent)	68
Upper secondary – vocational (ammatillinen perustutkinto)	33
Master’s degree – AMK (YAMK)	18
Doctorate (PhD / tohtori)	14
Basic education (peruskoulu / compulsory education)	4
Licentiate degree (lisensiaatti)	2

Length

Max length	73
Median length	58
Mean length	52.359765
Min length	25

Characters and Unicode

Total characters	35657
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)
2nd row	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)
3rd row	Master’s degree – university (FM, KTM, DI, etc.)
4th row	Master’s degree – university (FM, KTM, DI, etc.)
5th row	Master’s degree – university (FM, KTM, DI, etc.)

Common Values

Value	Count	Frequency (%)
Master’s degree – university (FM, KTM, DI, etc.)	299	43.8%
Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	161	23.6%
Bachelor’s degree – university (kandidaatti / alempi korkeakoulututkinto)	82	12.0%
Upper secondary – general (lukio / high school equivalent)	68	10.0%
Upper secondary – vocational (ammatillinen perustutkinto)	33	4.8%
Master’s degree – AMK (YAMK)	18	2.6%
Doctorate (PhD / tohtori)	14	2.1%
Basic education (peruskoulu / compulsory education)	4	0.6%
Licentiate degree (lisensiaatti)	2	0.3%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
–	661	12.8%
degree	562	10.9%
etc	460	8.9%
university	381	7.4%
master’s	317	6.1%
fm	299	5.8%
ktm	299	5.8%
di	299	5.8%
bachelor’s	243	4.7%
amk	179	3.5%
Other values (26)	1461	28.3%

Most occurring characters

Value	Count	Frequency (%)
	4480	12.6%
e	3984	11.2%
r	2246	6.3%
i	2106	5.9%
t	2034	5.7%
s	1637	4.6%
a	1532	4.3%
n	1409	4.0%
,	1219	3.4%
o	1130	3.2%
Other values (31)	13880	38.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	35657	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	4480	12.6%
e	3984	11.2%
r	2246	6.3%
i	2106	5.9%
t	2034	5.7%
s	1637	4.6%
a	1532	4.3%
n	1409	4.0%
,	1219	3.4%
o	1130	3.2%
Other values (31)	13880	38.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	35657	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	4480	12.6%
e	3984	11.2%
r	2246	6.3%
i	2106	5.9%
t	2034	5.7%
s	1637	4.6%
a	1532	4.3%
n	1409	4.0%
,	1219	3.4%
o	1130	3.2%
Other values (31)	13880	38.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	35657	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	4480	12.6%
e	3984	11.2%
r	2246	6.3%
i	2106	5.9%
t	2034	5.7%
s	1637	4.6%
a	1532	4.3%
n	1409	4.0%
,	1219	3.4%
o	1130	3.2%
Other values (31)	13880	38.9%

Opintoala
Categorical

Imbalance Missing

Distinct	18
Distinct (%)	2.8%
Missing	36
Missing (%)	5.3%
Memory size	10.7 KiB

Information and Communication Technologies (ICT / Computer Science)	517
Engineering, Manufacturing, and Construction	40
Business, Administration, and Law	28
Natural Sciences, Mathematics, and Statistics	21
Arts and Humanities	17
Social Sciences, Journalism, and Information	7
Health and Welfare	3
Education and Teaching	2
Agriculture, Forestry, Fisheries, and Veterinary	2
Don't want to tell	1
No completed degree	1
Communications Engineering	1
Information Systems Science	1
Design	1
Lukio	1
Two master's decrees: MSc & MBA	1
none	1
Restonomi, alempi ammattikoulu tutkinto tieto- ja viestintätekniikan perustutkinto	1

Length

Max length	82
Median length	67
Mean length	60.852941
Min length	4

Characters and Unicode

Total characters	39311
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	1.4%

Sample

1st row	Arts and Humanities
2nd row	Information and Communication Technologies (ICT / Computer Science)
3rd row	Information and Communication Technologies (ICT / Computer Science)
4th row	Information and Communication Technologies (ICT / Computer Science)
5th row	Information and Communication Technologies (ICT / Computer Science)

Common Values

Value	Count	Frequency (%)
Information and Communication Technologies (ICT / Computer Science)	517	75.8%
Engineering, Manufacturing, and Construction	40	5.9%
Business, Administration, and Law	28	4.1%
Natural Sciences, Mathematics, and Statistics	21	3.1%
Arts and Humanities	17	2.5%
Social Sciences, Journalism, and Information	7	1.0%
Health and Welfare	3	0.4%
Education and Teaching	2	0.3%
Agriculture, Forestry, Fisheries, and Veterinary	2	0.3%
Don't want to tell	1	0.1%
Other values (8)	8	1.2%
(Missing)	36	5.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	637	13.7%
information	525	11.3%
	518	11.1%
science	518	11.1%
communication	517	11.1%
ict	517	11.1%
technologies	517	11.1%
computer	517	11.1%
engineering	41	0.9%
manufacturing	40	0.9%
Other values (45)	306	6.6%

Most occurring characters

Value	Count	Frequency (%)
n	4194	10.7%
	4007	10.2%
o	3776	9.6%
i	3033	7.7%
e	2833	7.2%
c	2265	5.8%
m	2158	5.5%
a	1971	5.0%
t	1928	4.9%
C	1592	4.0%
Other values (39)	11554	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	39311	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	4194	10.7%
	4007	10.2%
o	3776	9.6%
i	3033	7.7%
e	2833	7.2%
c	2265	5.8%
m	2158	5.5%
a	1971	5.0%
t	1928	4.9%
C	1592	4.0%
Other values (39)	11554	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	39311	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	4194	10.7%
	4007	10.2%
o	3776	9.6%
i	3033	7.7%
e	2833	7.2%
c	2265	5.8%
m	2158	5.5%
a	1971	5.0%
t	1928	4.9%
C	1592	4.0%
Other values (39)	11554	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	39311	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	4194	10.7%
	4007	10.2%
o	3776	9.6%
i	3033	7.7%
e	2833	7.2%
c	2265	5.8%
m	2158	5.5%
a	1971	5.0%
t	1928	4.9%
C	1592	4.0%
Other values (39)	11554	29.4%

Tulojen muutos viime vuodesta (%)
Real number (ℝ)

High correlation Missing Zeros

Distinct	165
Distinct (%)	28.9%
Missing	111
Missing (%)	16.3%
Infinite	0
Infinite (%)	0.0%
Mean	6.9099176

Minimum	-93
Maximum	170
Zeros	127
Zeros (%)	18.6%
Negative	32
Negative (%)	4.7%
Memory size	10.7 KiB

Quantile statistics

Minimum	-93
5-th percentile	-2.705
Q1	0
median	3
Q3	8.25
95-th percentile	26.5
Maximum	170
Range	263
Interquartile range (IQR)	8.25

Descriptive statistics

Standard deviation	18.652233
Coefficient of variation (CV)	2.6993424
Kurtosis	25.791833
Mean	6.9099176
Median Absolute Deviation (MAD)	3
Skewness	3.6411197
Sum	3945.5629
Variance	347.90581
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	127	18.6%
2	44	6.5%
5	22	3.2%
10	21	3.1%
3	19	2.8%
2.5	17	2.5%
1	17	2.5%
4	16	2.3%
15	13	1.9%
20	10	1.5%
Other values (155)	265	38.9%
(Missing)	111	16.3%

Value	Count	Frequency (%)
-93	1	0.1%
-61	1	0.1%
-50	3	0.4%
-24	1	0.1%
-20	1	0.1%
-17	2	0.3%
-15	3	0.4%
-11	1	0.1%
-10	3	0.4%
-8.42	1	0.1%

Value	Count	Frequency (%)
170	1	0.1%
125	2	0.3%
111	1	0.1%
110	2	0.3%
105	1	0.1%
100	3	0.4%
70	1	0.1%
65	1	0.1%
57	1	0.1%
52.19	1	0.1%

Montako vuotta olet tehnyt laskuttavaa työtä alalla?
Real number (ℝ)

High correlation Missing Zeros

Distinct	16
Distinct (%)	17.6%
Missing	591
Missing (%)	86.7%
Infinite	0
Infinite (%)	0.0%
Mean	5.043956

Minimum	0
Maximum	28
Zeros	7
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6
95-th percentile	15
Maximum	28
Range	28
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.7793818
Coefficient of variation (CV)	0.94754629
Kurtosis	5.9057627
Mean	5.043956
Median Absolute Deviation (MAD)	2
Skewness	2.0819647
Sum	459
Variance	22.842491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
4	15	2.2%
3	15	2.2%
1	13	1.9%
5	10	1.5%
0	7	1.0%
6	7	1.0%
2	5	0.7%
10	4	0.6%
15	3	0.4%
9	3	0.4%
Other values (6)	9	1.3%
(Missing)	591	86.7%

Value	Count	Frequency (%)
0	7	1.0%
1	13	1.9%
2	5	0.7%
3	15	2.2%
4	15	2.2%
5	10	1.5%
6	7	1.0%
8	3	0.4%
9	3	0.4%
10	4	0.6%

Value	Count	Frequency (%)
28	1	0.1%
19	1	0.1%
18	1	0.1%
15	3	0.4%
13	2	0.3%
12	1	0.1%
10	4	0.6%
9	3	0.4%
8	3	0.4%
6	7	1.0%

Palvelut
Text

Missing

Distinct	72
Distinct (%)	82.8%
Missing	595
Missing (%)	87.2%
Memory size	10.7 KiB

Length

Max length	98
Median length	53
Mean length	31.873563
Min length	3

Characters and Unicode

Total characters	2773
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	66 ?
Unique (%)	75.9%

Sample

1st row	Fullstack development with backend focus
2nd row	Software development full-stack
3rd row	Full-stack
4th row	Full-stack
5th row	Full-stack lead developer so all of the above.

Value	Count	Frequency (%)
full-stack	34	10.6%
development	32	10.0%
software	19	5.9%
architecture	18	5.6%
ai	12	3.7%
backend	11	3.4%
data	11	3.4%
devops	10	3.1%
management	7	2.2%
stack	6	1.9%
Other values (97)	161	50.2%

Most occurring characters

Value	Count	Frequency (%)
e	311	11.2%
	236	8.5%
t	213	7.7%
a	190	6.9%
l	171	6.2%
n	154	5.6%
c	142	5.1%
s	127	4.6%
o	115	4.1%
r	109	3.9%
Other values (41)	1005	36.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2773	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	311	11.2%
	236	8.5%
t	213	7.7%
a	190	6.9%
l	171	6.2%
n	154	5.6%
c	142	5.1%
s	127	4.6%
o	115	4.1%
r	109	3.9%
Other values (41)	1005	36.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2773	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	311	11.2%
	236	8.5%
t	213	7.7%
a	190	6.9%
l	171	6.2%
n	154	5.6%
c	142	5.1%
s	127	4.6%
o	115	4.1%
r	109	3.9%
Other values (41)	1005	36.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2773	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	311	11.2%
	236	8.5%
t	213	7.7%
a	190	6.9%
l	171	6.2%
n	154	5.6%
c	142	5.1%
s	127	4.6%
o	115	4.1%
r	109	3.9%
Other values (41)	1005	36.2%

Tuntilaskutus (ALV 0%, euroina)
Real number (ℝ)

High correlation Missing

Distinct	33
Distinct (%)	40.2%
Missing	600
Missing (%)	88.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.067073

Minimum	0
Maximum	150
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	52.4
Q1	78.5
median	85.5
Q3	95
95-th percentile	128.55
Maximum	150
Range	150
Interquartile range (IQR)	16.5

Descriptive statistics

Standard deviation	20.724644
Coefficient of variation (CV)	0.24079643
Kurtosis	4.8745366
Mean	86.067073
Median Absolute Deviation (MAD)	9.5
Skewness	-0.13895172
Sum	7057.5
Variance	429.51088
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
80	13	1.9%
90	10	1.5%
95	9	1.3%
75	6	0.9%
85	5	0.7%
70	4	0.6%
100	4	0.6%
129	2	0.3%
150	2	0.3%
92	2	0.3%
Other values (23)	25	3.7%
(Missing)	600	88.0%

Value	Count	Frequency (%)
0	1	0.1%
40	1	0.1%
50	2	0.3%
52	1	0.1%
60	1	0.1%
65	1	0.1%
70	4	0.6%
72	2	0.3%
74	1	0.1%
75	6	0.9%

Value	Count	Frequency (%)
150	2	0.3%
130	1	0.1%
129	2	0.3%
120	1	0.1%
102	1	0.1%
100	4	0.6%
98.5	1	0.1%
98	1	0.1%
97	1	0.1%
96	1	0.1%

Vuosilaskutus (ALV 0%, euroina)
Real number (ℝ)

High correlation Missing

Distinct	49
Distinct (%)	61.3%
Missing	602
Missing (%)	88.3%
Infinite	0
Infinite (%)	0.0%
Mean	114454.66

Minimum	0
Maximum	203000
Zeros	2
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	28800
Q1	90000
median	124500
Q3	150000
95-th percentile	180350
Maximum	203000
Range	203000
Interquartile range (IQR)	60000

Descriptive statistics

Standard deviation	48146.86
Coefficient of variation (CV)	0.42066316
Kurtosis	-0.21612277
Mean	114454.66
Median Absolute Deviation (MAD)	25500
Skewness	-0.57087716
Sum	9156373
Variance	2.3181201 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
100000	8	1.2%
150000	7	1.0%
160000	4	0.6%
90000	3	0.4%
130000	3	0.4%
120000	3	0.4%
135000	3	0.4%
203000	2	0.3%
110000	2	0.3%
70000	2	0.3%
Other values (39)	43	6.3%
(Missing)	602	88.3%

Value	Count	Frequency (%)
0	2	0.3%
3700	1	0.1%
25000	1	0.1%
29000	1	0.1%
30000	2	0.3%
32000	1	0.1%
43000	1	0.1%
50000	1	0.1%
55000	1	0.1%
60000	2	0.3%

Value	Count	Frequency (%)
203000	2	0.3%
190000	1	0.1%
187000	1	0.1%
180000	1	0.1%
176000	1	0.1%
175000	1	0.1%
172000	1	0.1%
160000	4	0.6%
157000	1	0.1%
156417	1	0.1%

Laskutettavat tunnit viikossa
Real number (ℝ)

High correlation Missing

Distinct	23
Distinct (%)	27.4%
Missing	598
Missing (%)	87.7%
Infinite	0
Infinite (%)	0.0%
Mean	34.327381

Minimum	0
Maximum	138
Zeros	2
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	12.875
Q1	30
median	37.5
Q3	37.5
95-th percentile	41.7
Maximum	138
Range	138
Interquartile range (IQR)	7.5

Descriptive statistics

Standard deviation	15.425002
Coefficient of variation (CV)	0.44934981
Kurtosis	24.717776
Mean	34.327381
Median Absolute Deviation (MAD)	1
Skewness	3.166739
Sum	2883.5
Variance	237.93069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
37.5	32	4.7%
40	9	1.3%
30	6	0.9%
38	6	0.9%
37	4	0.6%
15	3	0.4%
35	3	0.4%
20	3	0.4%
43	2	0.3%
25	2	0.3%
Other values (13)	14	2.1%
(Missing)	598	87.7%

Value	Count	Frequency (%)
0	2	0.3%
1	1	0.1%
5	1	0.1%
12.5	1	0.1%
15	3	0.4%
18	1	0.1%
20	3	0.4%
21	1	0.1%
23	1	0.1%
25	2	0.3%

Value	Count	Frequency (%)
138	1	0.1%
60	1	0.1%
43	2	0.3%
42	1	0.1%
40	9	1.3%
38	6	0.9%
37.5	32	4.7%
37	4	0.6%
36	1	0.1%
35	3	0.4%

Viikot ilman laskutusta
Real number (ℝ)

High correlation Missing

Distinct	17
Distinct (%)	20.5%
Missing	599
Missing (%)	87.8%
Infinite	0
Infinite (%)	0.0%
Mean	8.3614458

Minimum	0
Maximum	52
Zeros	4
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	6
Q3	8
95-th percentile	30
Maximum	52
Range	52
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	9.123246
Coefficient of variation (CV)	1.0911087
Kurtosis	10.780383
Mean	8.3614458
Median Absolute Deviation (MAD)	2
Skewness	3.2280151
Sum	694
Variance	83.233617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
6	19	2.8%
5	12	1.8%
8	11	1.6%
10	6	0.9%
3	6	0.9%
7	5	0.7%
4	5	0.7%
9	4	0.6%
0	4	0.6%
2	3	0.4%
Other values (7)	8	1.2%
(Missing)	599	87.8%

Value	Count	Frequency (%)
0	4	0.6%
2	3	0.4%
3	6	0.9%
4	5	0.7%
5	12	1.8%
6	19	2.8%
7	5	0.7%
8	11	1.6%
9	4	0.6%
10	6	0.9%

Value	Count	Frequency (%)
52	1	0.1%
45	1	0.1%
40	1	0.1%
34	1	0.1%
30	2	0.3%
14	1	0.1%
12	1	0.1%
10	6	0.9%
9	4	0.6%
8	11	1.6%

Laskutustavat
Categorical

High correlation Imbalance Missing

Distinct	7
Distinct (%)	7.8%
Missing	592
Missing (%)	86.8%
Memory size	10.7 KiB

Hourly billing	69
Monthly billing	11
Fixed price / project-based	6
I don't do consulting	1
All above and bug bounties	1
Yearly subscription fee	1
Hourly + Fixed/project-based	1

Length

Max length	28
Median length	14
Mean length	15.466667
Min length	14

Characters and Unicode

Total characters	1392
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	4.4%

Sample

1st row	Hourly billing
2nd row	Hourly billing
3rd row	Hourly billing
4th row	Hourly billing
5th row	Monthly billing

Common Values

Value	Count	Frequency (%)
Hourly billing	69	10.1%
Monthly billing	11	1.6%
Fixed price / project-based	6	0.9%
I don't do consulting	1	0.1%
All above and bug bounties	1	0.1%
Yearly subscription fee	1	0.1%
Hourly + Fixed/project-based	1	0.1%
(Missing)	592	86.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
billing	80	40.2%
hourly	70	35.2%
monthly	11	5.5%
	7	3.5%
fixed	6	3.0%
price	6	3.0%
project-based	6	3.0%
i	1	0.5%
don't	1	0.5%
do	1	0.5%
Other values (10)	10	5.0%

Most occurring characters

Value	Count	Frequency (%)
l	245	17.6%
i	177	12.7%
	110	7.9%
n	97	7.0%
o	94	6.8%
b	91	6.5%
r	85	6.1%
y	82	5.9%
g	82	5.9%
u	74	5.3%
Other values (22)	255	18.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1392	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	245	17.6%
i	177	12.7%
	110	7.9%
n	97	7.0%
o	94	6.8%
b	91	6.5%
r	85	6.1%
y	82	5.9%
g	82	5.9%
u	74	5.3%
Other values (22)	255	18.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1392	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	245	17.6%
i	177	12.7%
	110	7.9%
n	97	7.0%
o	94	6.8%
b	91	6.5%
r	85	6.1%
y	82	5.9%
g	82	5.9%
u	74	5.3%
Other values (22)	255	18.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1392	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	245	17.6%
i	177	12.7%
	110	7.9%
n	97	7.0%
o	94	6.8%
b	91	6.5%
r	85	6.1%
y	82	5.9%
g	82	5.9%
u	74	5.3%
Other values (22)	255	18.3%

Sopimuksen pituus
Categorical

High correlation Missing

Distinct	8
Distinct (%)	9.0%
Missing	593
Missing (%)	87.0%
Memory size	10.7 KiB

6-12 months	23
Over 24 months	22
Open-ended	14
12-24 months	12
3-6 months	6
Varies significantly	6
1-3 months	5
I don't do consulting	1

Length

Max length	21
Median length	20
Mean length	12.314607
Min length	10

Characters and Unicode

Total characters	1096
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.1%

Sample

1st row	3-6 months
2nd row	6-12 months
3rd row	Over 24 months
4th row	Over 24 months
5th row	Open-ended

Common Values

Value	Count	Frequency (%)
6-12 months	23	3.4%
Over 24 months	22	3.2%
Open-ended	14	2.1%
12-24 months	12	1.8%
3-6 months	6	0.9%
Varies significantly	6	0.9%
1-3 months	5	0.7%
I don't do consulting	1	0.1%
(Missing)	593	87.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
months	68	36.2%
6-12	23	12.2%
over	22	11.7%
24	22	11.7%
open-ended	14	7.4%
12-24	12	6.4%
3-6	6	3.2%
varies	6	3.2%
significantly	6	3.2%
1-3	5	2.7%
Other values (4)	4	2.1%

Most occurring characters

Value	Count	Frequency (%)
n	111	10.1%
	99	9.0%
s	81	7.4%
t	76	6.9%
o	71	6.5%
e	70	6.4%
2	69	6.3%
h	68	6.2%
m	68	6.2%
-	60	5.5%
Other values (20)	323	29.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1096	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	111	10.1%
	99	9.0%
s	81	7.4%
t	76	6.9%
o	71	6.5%
e	70	6.4%
2	69	6.3%
h	68	6.2%
m	68	6.2%
-	60	5.5%
Other values (20)	323	29.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1096	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	111	10.1%
	99	9.0%
s	81	7.4%
t	76	6.9%
o	71	6.5%
e	70	6.4%
2	69	6.3%
h	68	6.2%
m	68	6.2%
-	60	5.5%
Other values (20)	323	29.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1096	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	111	10.1%
	99	9.0%
s	81	7.4%
t	76	6.9%
o	71	6.5%
e	70	6.4%
2	69	6.3%
h	68	6.2%
m	68	6.2%
-	60	5.5%
Other values (20)	323	29.5%

Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?
Categorical

High correlation Missing

Distinct	9
Distinct (%)	10.2%
Missing	594
Missing (%)	87.1%
Memory size	10.7 KiB

Myself, Agencies	34
Myself	25
Agencies	23
I don't do consulting	1
Myself, Partner companies, bug bounties	1
One major client with an ongoing contract	1
Myself, Agencies, Ohjelmistofriikit network	1
Agencies, Industry connections	1
Own sales	1

Length

Max length	43
Median length	41
Mean length	12.056818
Min length	6

Characters and Unicode

Total characters	1061
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	6.8%

Sample

1st row	Myself, Agencies
2nd row	Agencies
3rd row	Agencies
4th row	Myself, Agencies
5th row	Myself

Common Values

Value	Count	Frequency (%)
Myself, Agencies	34	5.0%
Myself	25	3.7%
Agencies	23	3.4%
I don't do consulting	1	0.1%
Myself, Partner companies, bug bounties	1	0.1%
One major client with an ongoing contract	1	0.1%
Myself, Agencies, Ohjelmistofriikit network	1	0.1%
Agencies, Industry connections	1	0.1%
Own sales	1	0.1%
(Missing)	594	87.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
myself	61	43.3%
agencies	59	41.8%
i	1	0.7%
don't	1	0.7%
do	1	0.7%
consulting	1	0.7%
partner	1	0.7%
companies	1	0.7%
bug	1	0.7%
bounties	1	0.7%
Other values (13)	13	9.2%

Most occurring characters

Value	Count	Frequency (%)
e	188	17.7%
s	128	12.1%
n	77	7.3%
i	70	6.6%
c	66	6.2%
l	65	6.1%
g	63	5.9%
y	62	5.8%
f	62	5.8%
M	61	5.7%
Other values (20)	219	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1061	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	188	17.7%
s	128	12.1%
n	77	7.3%
i	70	6.6%
c	66	6.2%
l	65	6.1%
g	63	5.9%
y	62	5.8%
f	62	5.8%
M	61	5.7%
Other values (20)	219	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1061	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	188	17.7%
s	128	12.1%
n	77	7.3%
i	70	6.6%
c	66	6.2%
l	65	6.1%
g	63	5.9%
y	62	5.8%
f	62	5.8%
M	61	5.7%
Other values (20)	219	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1061	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	188	17.7%
s	128	12.1%
n	77	7.3%
i	70	6.6%
c	66	6.2%
l	65	6.1%
g	63	5.9%
y	62	5.8%
f	62	5.8%
M	61	5.7%
Other values (20)	219	20.6%

Mistä asiakkaat ovat?
Categorical

High correlation Missing

Distinct	4
Distinct (%)	4.4%
Missing	592
Missing (%)	86.8%
Memory size	6.2 KiB

Suomesta	66
Finland, Abroad	15
Abroad	8
I don't do consulting	1

Length

Max length	21
Median length	8
Mean length	9.1333333
Min length	6

Characters and Unicode

Total characters	822
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.1%

Sample

1st row	Suomesta
2nd row	Suomesta
3rd row	Suomesta
4th row	Suomesta
5th row	Suomesta

Common Values

Value	Count	Frequency (%)
Suomesta	66	9.7%
Finland, Abroad	15	2.2%
Abroad	8	1.2%
I don't do consulting	1	0.1%
(Missing)	592	86.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
suomesta	66	61.1%
abroad	23	21.3%
finland	15	13.9%
i	1	0.9%
don't	1	0.9%
do	1	0.9%
consulting	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
a	104	12.7%
o	92	11.2%
t	68	8.3%
u	67	8.2%
s	67	8.2%
S	66	8.0%
e	66	8.0%
m	66	8.0%
d	40	4.9%
n	33	4.0%
Other values (12)	153	18.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	822	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	104	12.7%
o	92	11.2%
t	68	8.3%
u	67	8.2%
s	67	8.2%
S	66	8.0%
e	66	8.0%
m	66	8.0%
d	40	4.9%
n	33	4.0%
Other values (12)	153	18.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	822	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	104	12.7%
o	92	11.2%
t	68	8.3%
u	67	8.2%
s	67	8.2%
S	66	8.0%
e	66	8.0%
m	66	8.0%
d	40	4.9%
n	33	4.0%
Other values (12)	153	18.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	822	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	104	12.7%
o	92	11.2%
t	68	8.3%
u	67	8.2%
s	67	8.2%
S	66	8.0%
e	66	8.0%
m	66	8.0%
d	40	4.9%
n	33	4.0%
Other values (12)	153	18.6%

Työpaikka
Text

Missing

Distinct	89
Distinct (%)	60.1%
Missing	534
Missing (%)	78.3%
Memory size	10.7 KiB

Length

Max length	38
Median length	22
Mean length	7.8310811
Min length	2

Characters and Unicode

Total characters	1159
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	41.9%

Sample

1st row	Mirantis
2nd row	Reaktor
3rd row	Valtio
4th row	Mapbox
5th row	Kaiku Crew

Value	Count	Frequency (%)
reaktor	15	8.5%
nitor	7	4.0%
vincit	7	4.0%
solita	6	3.4%
gofore	6	3.4%
wolt	4	2.3%
tieto	4	2.3%
futurice	3	1.7%
op	3	1.7%
visma	3	1.7%
Other values (94)	119	67.2%

Most occurring characters

Value	Count	Frequency (%)
o	115	9.9%
i	98	8.5%
e	95	8.2%
a	94	8.1%
t	90	7.8%
r	83	7.2%
n	58	5.0%
l	54	4.7%
s	35	3.0%
	29	2.5%
Other values (47)	408	35.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1159	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	115	9.9%
i	98	8.5%
e	95	8.2%
a	94	8.1%
t	90	7.8%
r	83	7.2%
n	58	5.0%
l	54	4.7%
s	35	3.0%
	29	2.5%
Other values (47)	408	35.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1159	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	115	9.9%
i	98	8.5%
e	95	8.2%
a	94	8.1%
t	90	7.8%
r	83	7.2%
n	58	5.0%
l	54	4.7%
s	35	3.0%
	29	2.5%
Other values (47)	408	35.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1159	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	115	9.9%
i	98	8.5%
e	95	8.2%
a	94	8.1%
t	90	7.8%
r	83	7.2%
n	58	5.0%
l	54	4.7%
s	35	3.0%
	29	2.5%
Other values (47)	408	35.2%

Kaupunki
Categorical

High correlation Imbalance Missing

Distinct	22
Distinct (%)	3.8%
Missing	100
Missing (%)	14.7%
Memory size	6.7 KiB

PK-seutu	349
Tampere	110
Turku	50
Oulu	18
Jyväskylä	13
Etätyö	12
Kuopio	7
Joensuu	3
Ulkomaat	3
Vaasa	3
Lappeenranta	2
Hämeenlinna	2
Copenhagen	1
Dubai	1
Kokkola	1
Rovaniemi	1
Lahti	1
Oslo	1
Salo	1
Tallinna	1
Other values (2)	2

Length

Max length	12
Median length	8
Mean length	7.362543
Min length	2

Characters and Unicode

Total characters	4285
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	1.7%

Sample

1st row	PK-seutu
2nd row	Turku
3rd row	Tampere
4th row	PK-seutu
5th row	Tampere

Common Values

Value	Count	Frequency (%)
PK-seutu	349	51.2%
Tampere	110	16.1%
Turku	50	7.3%
Oulu	18	2.6%
Jyväskylä	13	1.9%
Etätyö	12	1.8%
Kuopio	7	1.0%
Joensuu	3	0.4%
Ulkomaat	3	0.4%
Vaasa	3	0.4%
Other values (12)	14	2.1%
(Missing)	100	14.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pk-seutu	349	60.0%
tampere	110	18.9%
turku	50	8.6%
oulu	18	3.1%
jyväskylä	13	2.2%
etätyö	12	2.1%
kuopio	7	1.2%
joensuu	3	0.5%
ulkomaat	3	0.5%
vaasa	3	0.5%
Other values (12)	14	2.4%

Most occurring characters

Value	Count	Frequency (%)
u	848	19.8%
e	584	13.6%
t	379	8.8%
s	369	8.6%
K	357	8.3%
-	349	8.1%
P	349	8.1%
r	162	3.8%
T	161	3.8%
a	141	3.3%
Other values (27)	586	13.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4285	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	848	19.8%
e	584	13.6%
t	379	8.8%
s	369	8.6%
K	357	8.3%
-	349	8.1%
P	349	8.1%
r	162	3.8%
T	161	3.8%
a	141	3.3%
Other values (27)	586	13.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4285	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	848	19.8%
e	584	13.6%
t	379	8.8%
s	369	8.6%
K	357	8.3%
-	349	8.1%
P	349	8.1%
r	162	3.8%
T	161	3.8%
a	141	3.3%
Other values (27)	586	13.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4285	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	848	19.8%
e	584	13.6%
t	379	8.8%
s	369	8.6%
K	357	8.3%
-	349	8.1%
P	349	8.1%
r	162	3.8%
T	161	3.8%
a	141	3.3%
Other values (27)	586	13.7%

Millaisessa yrityksessä työskentelet?
Categorical

High correlation Missing

Distinct	8
Distinct (%)	1.4%
Missing	97
Missing (%)	14.2%
Memory size	6.3 KiB

Konsultointi	284
Tuotetalossa, jonka core-bisnes on softa	200
Yritys, jossa softa tukirooli	75
Julkinen/kolmas sektori	22
Consulting and product	1
Digitoimisto	1
Mostly consulting, but also own product	1
Software maintenance company	1

Length

Max length	40
Median length	39
Mean length	24.25641
Min length	12

Characters and Unicode

Total characters	14190
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.7%

Sample

1st row	Tuotetalossa, jonka core-bisnes on softa
2nd row	Tuotetalossa, jonka core-bisnes on softa
3rd row	Konsultointi
4th row	Yritys, jossa softa tukirooli
5th row	Tuotetalossa, jonka core-bisnes on softa

Common Values

Value	Count	Frequency (%)
Konsultointi	284	41.6%
Tuotetalossa, jonka core-bisnes on softa	200	29.3%
Yritys, jossa softa tukirooli	75	11.0%
Julkinen/kolmas sektori	22	3.2%
Consulting and product	1	0.1%
Digitoimisto	1	0.1%
Mostly consulting, but also own product	1	0.1%
Software maintenance company	1	0.1%
(Missing)	97	14.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
konsultointi	284	17.3%
softa	275	16.8%
tuotetalossa	200	12.2%
jonka	200	12.2%
core-bisnes	200	12.2%
on	200	12.2%
yritys	75	4.6%
jossa	75	4.6%
tukirooli	75	4.6%
julkinen/kolmas	22	1.3%
Other values (12)	35	2.1%

Most occurring characters

Value	Count	Frequency (%)
o	2123	15.0%
s	1633	11.5%
t	1425	10.0%
n	1222	8.6%
	1056	7.4%
i	1044	7.4%
a	978	6.9%
e	647	4.6%
l	607	4.3%
u	586	4.1%
Other values (23)	2869	20.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14190	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	2123	15.0%
s	1633	11.5%
t	1425	10.0%
n	1222	8.6%
	1056	7.4%
i	1044	7.4%
a	978	6.9%
e	647	4.6%
l	607	4.3%
u	586	4.1%
Other values (23)	2869	20.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14190	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	2123	15.0%
s	1633	11.5%
t	1425	10.0%
n	1222	8.6%
	1056	7.4%
i	1044	7.4%
a	978	6.9%
e	647	4.6%
l	607	4.3%
u	586	4.1%
Other values (23)	2869	20.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14190	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	2123	15.0%
s	1633	11.5%
t	1425	10.0%
n	1222	8.6%
	1056	7.4%
i	1044	7.4%
a	978	6.9%
e	647	4.6%
l	607	4.3%
u	586	4.1%
Other values (23)	2869	20.2%

Työaika
Real number (ℝ)

High correlation Missing

Distinct	20
Distinct (%)	3.4%
Missing	97
Missing (%)	14.2%
Infinite	0
Infinite (%)	0.0%
Mean	0.99375043

Minimum	0.6
Maximum	1.8666667
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0.6
5-th percentile	0.8
Q1	1
median	1
Q3	1
95-th percentile	1.0666667
Maximum	1.8666667
Range	1.2666667
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.070579721
Coefficient of variation (CV)	0.071023588
Kurtosis	47.047733
Mean	0.99375043
Median Absolute Deviation (MAD)	0
Skewness	1.4779721
Sum	581.344
Variance	0.004981497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1	480	70.4%
1.066666667	27	4.0%
0.8	25	3.7%
0.9866666667	10	1.5%
1.013333333	9	1.3%
0.9666666667	7	1.0%
1.2	6	0.9%
0.9066666667	3	0.4%
0.6	3	0.4%
0.9333333333	3	0.4%
Other values (10)	12	1.8%
(Missing)	97	14.2%

Value	Count	Frequency (%)
0.6	3	0.4%
0.6933333333	1	0.1%
0.7	1	0.1%
0.7866666667	1	0.1%
0.8	25	3.7%
0.8666666667	1	0.1%
0.9066666667	3	0.4%
0.9333333333	3	0.4%
0.9533333333	1	0.1%
0.9666666667	7	1.0%

Value	Count	Frequency (%)
1.866666667	1	0.1%
1.2	6	0.9%
1.12	2	0.3%
1.093333333	1	0.1%
1.066666667	27	4.0%
1.04	2	0.3%
1.013333333	9	1.3%
1	480	70.4%
0.9906666667	1	0.1%
0.9866666667	10	1.5%

Kuinka suuren osan ajasta teet lähityönä toimistolla?
Real number (ℝ)

High correlation Missing Zeros

Distinct	30
Distinct (%)	5.1%
Missing	97
Missing (%)	14.2%
Infinite	0
Infinite (%)	0.0%
Mean	0.36869231

Minimum	0
Maximum	1
Zeros	71
Zeros (%)	10.4%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.05
median	0.2
Q3	0.6
95-th percentile	0.95
Maximum	1
Range	1
Interquartile range (IQR)	0.55

Descriptive statistics

Standard deviation	0.33152028
Coefficient of variation (CV)	0.89917871
Kurtosis	-1.0498851
Mean	0.36869231
Median Absolute Deviation (MAD)	0.2
Skewness	0.58759385
Sum	215.685
Variance	0.10990569
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
0.2	83	12.2%
0	71	10.4%
0.4	55	8.1%
0.05	55	8.1%
0.1	48	7.0%
0.8	38	5.6%
0.5	37	5.4%
0.9	33	4.8%
0.6	33	4.8%
1	27	4.0%
Other values (20)	105	15.4%
(Missing)	97	14.2%

Value	Count	Frequency (%)
0	71	10.4%
0.01	12	1.8%
0.02	8	1.2%
0.03	2	0.3%
0.04	3	0.4%
0.05	55	8.1%
0.09	1	0.1%
0.1	48	7.0%
0.15	12	1.8%
0.2	83	12.2%

Value	Count	Frequency (%)
1	27	4.0%
0.99	1	0.1%
0.98	1	0.1%
0.95	18	2.6%
0.9	33	4.8%
0.86	1	0.1%
0.85	2	0.3%
0.8	38	5.6%
0.75	9	1.3%
0.7	4	0.6%

Rooli
Text

Missing

Distinct	57
Distinct (%)	9.7%
Missing	95
Missing (%)	13.9%
Memory size	10.7 KiB

Length

Max length	89
Median length	68
Mean length	22.870528
Min length	3

Characters and Unicode

Total characters	13425
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	5.5%

Sample

1st row	Founder, Technology or Otherwise
2nd row	AI/ML Engineer
3rd row	Developer, Backend
4th row	Developer, Full-Stack
5th row	Developer, QA or Test

Value	Count	Frequency (%)
developer	361	23.8%
full-stack	259	17.1%
or	113	7.4%
engineer	68	4.5%
software	53	3.5%
solutions	51	3.4%
architect	50	3.3%
manager	38	2.5%
backend	38	2.5%
professional	30	2.0%
Other values (87)	456	30.1%

Most occurring characters

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13425	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13425	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13425	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Seniority
Categorical

High correlation Missing

Distinct	5
Distinct (%)	0.9%
Missing	100
Missing (%)	14.7%
Memory size	10.7 KiB

Senior	299
Mid-level	118
Staff / Principal / Lead	115
Manager or People Lead	42
Junior / Entry-level	8

Length

Max length	24
Median length	6
Mean length	11.512027
Min length	6

Characters and Unicode

Total characters	6700
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Manager or People Lead
2nd row	Staff / Principal / Lead
3rd row	Senior
4th row	Senior
5th row	Senior

Common Values

Value	Count	Frequency (%)
Senior	299	43.8%
Mid-level	118	17.3%
Staff / Principal / Lead	115	16.9%
Manager or People Lead	42	6.2%
Junior / Entry-level	8	1.2%
(Missing)	100	14.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
senior	299	25.3%
	238	20.1%
lead	157	13.3%
mid-level	118	10.0%
staff	115	9.7%
principal	115	9.7%
manager	42	3.5%
or	42	3.5%
people	42	3.5%
junior	8	0.7%

Most occurring characters

Value	Count	Frequency (%)
e	834	12.4%
i	655	9.8%
	602	9.0%
r	514	7.7%
n	472	7.0%
a	471	7.0%
S	414	6.2%
l	409	6.1%
o	391	5.8%
d	275	4.1%
Other values (15)	1663	24.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6700	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	834	12.4%
i	655	9.8%
	602	9.0%
r	514	7.7%
n	472	7.0%
a	471	7.0%
S	414	6.2%
l	409	6.1%
o	391	5.8%
d	275	4.1%
Other values (15)	1663	24.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6700	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	834	12.4%
i	655	9.8%
	602	9.0%
r	514	7.7%
n	472	7.0%
a	471	7.0%
S	414	6.2%
l	409	6.1%
o	391	5.8%
d	275	4.1%
Other values (15)	1663	24.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6700	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	834	12.4%
i	655	9.8%
	602	9.0%
r	514	7.7%
n	472	7.0%
a	471	7.0%
S	414	6.2%
l	409	6.1%
o	391	5.8%
d	275	4.1%
Other values (15)	1663	24.8%

Virallinen senioriteetti
Categorical

High correlation Missing

Distinct	3
Distinct (%)	0.5%
Missing	108
Missing (%)	15.8%
Memory size	10.7 KiB

Yes	337
No	191
Not sure	46

Length

Max length	8
Median length	3
Mean length	3.0679443
Min length	2

Characters and Unicode

Total characters	1761
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yes
2nd row	No
3rd row	Yes
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	337	49.4%
No	191	28.0%
Not sure	46	6.7%
(Missing)	108	15.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	337	54.4%
no	191	30.8%
not	46	7.4%
sure	46	7.4%

Most occurring characters

Value	Count	Frequency (%)
e	383	21.7%
s	383	21.7%
Y	337	19.1%
N	237	13.5%
o	237	13.5%
t	46	2.6%
	46	2.6%
u	46	2.6%
r	46	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	383	21.7%
s	383	21.7%
Y	337	19.1%
N	237	13.5%
o	237	13.5%
t	46	2.6%
	46	2.6%
u	46	2.6%
r	46	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	383	21.7%
s	383	21.7%
Y	337	19.1%
N	237	13.5%
o	237	13.5%
t	46	2.6%
	46	2.6%
u	46	2.6%
r	46	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	383	21.7%
s	383	21.7%
Y	337	19.1%
N	237	13.5%
o	237	13.5%
t	46	2.6%
	46	2.6%
u	46	2.6%
r	46	2.6%

Kuukausipalkka
Real number (ℝ)

High correlation Zeros

Distinct	286
Distinct (%)	41.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6320.3407

Minimum	0
Maximum	110000
Zeros	94
Zeros (%)	13.8%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4400
median	5477.5
Q3	6700
95-th percentile	9500
Maximum	110000
Range	110000
Interquartile range (IQR)	2300

Descriptive statistics

Standard deviation	10430.329
Coefficient of variation (CV)	1.6502796
Kurtosis	66.970027
Mean	6320.3407
Median Absolute Deviation (MAD)	1125
Skewness	7.9166789
Sum	4310472.4
Variance	1.0879177 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	94	13.8%
6000	25	3.7%
6500	18	2.6%
5000	14	2.1%
5300	14	2.1%
4500	12	1.8%
5400	11	1.6%
7000	11	1.6%
5800	10	1.5%
5600	10	1.5%
Other values (276)	463	67.9%

Value	Count	Frequency (%)
0	94	13.8%
2009	1	0.1%
2115	1	0.1%
2320	1	0.1%
2500	2	0.3%
2660	1	0.1%
2678.4	1	0.1%
2736	1	0.1%
2800	1	0.1%
2900	1	0.1%

Value	Count	Frequency (%)
110000	2	0.3%
95000	1	0.1%
92881	1	0.1%
92000	1	0.1%
91000	1	0.1%
90000	2	0.3%
56117	1	0.1%
30000	1	0.1%
17500	1	0.1%
15800	1	0.1%

Provisio (kk, brutto)
Real number (ℝ)

High correlation Skewed Zeros

Distinct	52
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	367.58815

Minimum	0
Maximum	92000
Zeros	606
Zeros (%)	88.9%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1800
Maximum	92000
Range	92000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3630.5634
Coefficient of variation (CV)	9.8767151
Kurtosis	598.2462
Mean	367.58815
Median Absolute Deviation (MAD)	0
Skewness	23.751386
Sum	250695.12
Variance	13180991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	606	88.9%
4000	4	0.6%
100	4	0.6%
2200	4	0.6%
1000	3	0.4%
1600	3	0.4%
2000	3	0.4%
3500	3	0.4%
200	3	0.4%
500	3	0.4%
Other values (42)	46	6.7%

Value	Count	Frequency (%)
0	606	88.9%
100	4	0.6%
140	1	0.1%
200	3	0.4%
250	1	0.1%
300	2	0.3%
350	1	0.1%
360	1	0.1%
400	1	0.1%
450	1	0.1%

Value	Count	Frequency (%)
92000	1	0.1%
7500	2	0.3%
7200	1	0.1%
6500	1	0.1%
6400	1	0.1%
5000	1	0.1%
4700	1	0.1%
4600	1	0.1%
4550	1	0.1%
4021	1	0.1%

Lomaraha (EUR)
Real number (ℝ)

High correlation Zeros

Distinct	234
Distinct (%)	34.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2193.4604

Minimum	0
Maximum	9360
Zeros	235
Zeros (%)	34.5%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2666
Q3	3534.6
95-th percentile	4677.7
Maximum	9360
Range	9360
Interquartile range (IQR)	3534.6

Descriptive statistics

Standard deviation	1803.5138
Coefficient of variation (CV)	0.82222309
Kurtosis	-0.71833951
Mean	2193.4604
Median Absolute Deviation (MAD)	1302
Skewness	0.10145026
Sum	1495940
Variance	3252661.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	235	34.5%
3000	25	3.7%
3500	22	3.2%
3600	16	2.3%
4000	13	1.9%
2500	11	1.6%
3900	8	1.2%
4200	8	1.2%
3360	8	1.2%
2000	7	1.0%
Other values (224)	329	48.2%

Value	Count	Frequency (%)
0	235	34.5%
1	1	0.1%
531.93	1	0.1%
587	1	0.1%
803	1	0.1%
817	1	0.1%
910	1	0.1%
1000	1	0.1%
1071.81	1	0.1%
1130	1	0.1%

Value	Count	Frequency (%)
9360	1	0.1%
7700	1	0.1%
7560	1	0.1%
7000	3	0.4%
6968	1	0.1%
6500	1	0.1%
6472.8	1	0.1%
6240	1	0.1%
5700	1	0.1%
5550	1	0.1%

Bonus (EUR)
Real number (ℝ)

High correlation Zeros

Distinct	103
Distinct (%)	15.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2065.5944

Minimum	0
Maximum	200000
Zeros	517
Zeros (%)	75.8%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9000
Maximum	200000
Range	200000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	11115.823
Coefficient of variation (CV)	5.381416
Kurtosis	191.33345
Mean	2065.5944
Median Absolute Deviation (MAD)	0
Skewness	12.700925
Sum	1408735.4
Variance	1.2356151 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	517	75.8%
1000	11	1.6%
2000	10	1.5%
5000	6	0.9%
6000	6	0.9%
3000	4	0.6%
500	4	0.6%
10000	4	0.6%
12000	4	0.6%
14000	3	0.4%
Other values (93)	113	16.6%

Value	Count	Frequency (%)
0	517	75.8%
1	1	0.1%
70	1	0.1%
80	1	0.1%
100	1	0.1%
200	2	0.3%
300	1	0.1%
330	1	0.1%
360	1	0.1%
400	1	0.1%

Value	Count	Frequency (%)
200000	1	0.1%
137000	1	0.1%
94000	1	0.1%
90000	1	0.1%
42500	1	0.1%
36000	1	0.1%
27000	1	0.1%
22200	1	0.1%
22000	1	0.1%
20000	1	0.1%

Osakkeet/optiot (EUR)
Real number (ℝ)

High correlation Zeros

Distinct	44
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8685.2375

Minimum	0
Maximum	2183297
Zeros	620
Zeros (%)	90.9%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9900
Maximum	2183297
Range	2183297
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	99206.384
Coefficient of variation (CV)	11.422415
Kurtosis	370.86862
Mean	8685.2375
Median Absolute Deviation (MAD)	0
Skewness	18.328662
Sum	5923332
Variance	9.8419066 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
0	620	90.9%
20000	6	0.9%
2000	5	0.7%
8000	3	0.4%
12000	2	0.3%
800	2	0.3%
1000	2	0.3%
500	2	0.3%
50000	2	0.3%
30000	2	0.3%
Other values (34)	36	5.3%

Value	Count	Frequency (%)
0	620	90.9%
30	1	0.1%
60	1	0.1%
500	2	0.3%
800	2	0.3%
854	1	0.1%
1000	2	0.3%
1600	1	0.1%
1700	1	0.1%
2000	5	0.7%

Value	Count	Frequency (%)
2183297	1	0.1%
1200000	1	0.1%
450000	1	0.1%
400000	1	0.1%
300000	1	0.1%
130000	2	0.3%
107200	1	0.1%
100000	1	0.1%
83600	1	0.1%
80000	1	0.1%

Vapaa kuvaus kokonaiskompensaatiomallista
Unsupported

Missing Rejected Unsupported

Missing	591
Missing (%)	86.7%
Memory size	10.7 KiB

Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?
Categorical

High correlation Missing

Distinct	4
Distinct (%)	0.7%
Missing	100
Missing (%)	14.7%
Memory size	6.2 KiB

Markkinataso	269
Alle markkinatason	147
Yli markkinatason	127
En osaa sanoa	39

Length

Max length	18
Median length	17
Mean length	14.67354
Min length	12

Characters and Unicode

Total characters	8540
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Alle markkinatason
2nd row	Alle markkinatason
3rd row	Markkinataso
4th row	Markkinataso
5th row	Markkinataso

Common Values

Value	Count	Frequency (%)
Markkinataso	269	39.4%
Alle markkinatason	147	21.6%
Yli markkinatason	127	18.6%
En osaa sanoa	39	5.7%
(Missing)	100	14.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
markkinatason	274	29.3%
markkinataso	269	28.8%
alle	147	15.7%
yli	127	13.6%
en	39	4.2%
osaa	39	4.2%
sanoa	39	4.2%

Most occurring characters

Value	Count	Frequency (%)
a	1785	20.9%
k	1086	12.7%
n	895	10.5%
i	670	7.8%
s	621	7.3%
o	621	7.3%
t	543	6.4%
r	543	6.4%
l	421	4.9%
	352	4.1%
Other values (6)	1003	11.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8540	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1785	20.9%
k	1086	12.7%
n	895	10.5%
i	670	7.8%
s	621	7.3%
o	621	7.3%
t	543	6.4%
r	543	6.4%
l	421	4.9%
	352	4.1%
Other values (6)	1003	11.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8540	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1785	20.9%
k	1086	12.7%
n	895	10.5%
i	670	7.8%
s	621	7.3%
o	621	7.3%
t	543	6.4%
r	543	6.4%
l	421	4.9%
	352	4.1%
Other values (6)	1003	11.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8540	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1785	20.9%
k	1086	12.7%
n	895	10.5%
i	670	7.8%
s	621	7.3%
o	621	7.3%
t	543	6.4%
r	543	6.4%
l	421	4.9%
	352	4.1%
Other values (6)	1003	11.7%

Bonukset (kuvaus)
Text

Missing

Distinct	138
Distinct (%)	25.0%
Missing	131
Missing (%)	19.2%
Memory size	10.7 KiB

Length

Max length	286
Median length	227
Mean length	86.034483
Min length	14

Characters and Unicode

Total characters	47405
Distinct characters	47
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	71 ?
Unique (%)	12.9%

Sample

1st row	Lomaraha (Holiday bonus)
2nd row	Stock options / equity
3rd row	Lomaraha (Holiday bonus), Individual performance bonus, Company performance bonus
4th row	Lomaraha (Holiday bonus), Company performance bonus, Referral bonus (for successful hires), On-call compensation (standby pay)
5th row	Lomaraha (Holiday bonus), Company performance bonus, Overtime extra pay (e.g. 1.5x or 2x pay rate), Referral bonus (for successful hires)

Value	Count	Frequency (%)
bonus	1104	17.8%
lomaraha	485	7.8%
holiday	485	7.8%
performance	320	5.2%
pay	292	4.7%
for	276	4.5%
successful	275	4.4%
referral	274	4.4%
hires	274	4.4%
company	217	3.5%
Other values (76)	2184	35.3%

Most occurring characters

Value	Count	Frequency (%)
	5635	11.9%
o	4055	8.6%
a	3882	8.2%
s	2951	6.2%
r	2870	6.1%
e	2807	5.9%
n	2548	5.4%
u	1946	4.1%
i	1750	3.7%
m	1424	3.0%
Other values (37)	17537	37.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47405	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5635	11.9%
o	4055	8.6%
a	3882	8.2%
s	2951	6.2%
r	2870	6.1%
e	2807	5.9%
n	2548	5.4%
u	1946	4.1%
i	1750	3.7%
m	1424	3.0%
Other values (37)	17537	37.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47405	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5635	11.9%
o	4055	8.6%
a	3882	8.2%
s	2951	6.2%
r	2870	6.1%
e	2807	5.9%
n	2548	5.4%
u	1946	4.1%
i	1750	3.7%
m	1424	3.0%
Other values (37)	17537	37.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47405	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5635	11.9%
o	4055	8.6%
a	3882	8.2%
s	2951	6.2%
r	2870	6.1%
e	2807	5.9%
n	2548	5.4%
u	1946	4.1%
i	1750	3.7%
m	1424	3.0%
Other values (37)	17537	37.0%

Edut (ei luontoisedut)
Text

Missing

Distinct	399
Distinct (%)	69.0%
Missing	104
Missing (%)	15.2%
Memory size	10.7 KiB

Length

Max length	545
Median length	288
Mean length	186.20415
Min length	11

Characters and Unicode

Total characters	107626
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	312 ?
Unique (%)	54.0%

Sample

1st row	Health insurance, Work laptop, Free gym membership, Fixed-line internet to your home, Monitors for home office
2nd row	Health insurance, Work laptop, Monitors for home office
3rd row	Health insurance, Work laptop, Training/Courses/Education budget, Other tools like high-end keyboard, mouse etc, Monitors for home office, Snacks and beverages in office
4th row	Work laptop, Free office parking (during work hours), Monitors for home office
5th row	Health insurance, Work remotely from abroad (1 week or more), Work laptop, Mobile phone with paid plan (Select only if NO 20 € puhelinetu on payslip), Home office equipment budget (chair, desk, etc.), Fixed-line internet to your home, Other tools like high-end keyboard, mouse etc, Monitors for home office

Value	Count	Frequency (%)
work	953	6.2%
office	916	5.9%
laptop	554	3.6%
home	518	3.4%
insurance	463	3.0%
health	461	3.0%
budget	407	2.6%
etc	387	2.5%
and	382	2.5%
in	379	2.5%
Other values (147)	10038	64.9%

Most occurring characters

Value	Count	Frequency (%)
	14882	13.8%
e	10333	9.6%
o	7692	7.1%
r	6331	5.9%
i	6177	5.7%
n	5630	5.2%
a	5184	4.8%
t	4921	4.6%
s	3699	3.4%
,	3289	3.1%
Other values (52)	39488	36.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	107626	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	14882	13.8%
e	10333	9.6%
o	7692	7.1%
r	6331	5.9%
i	6177	5.7%
n	5630	5.2%
a	5184	4.8%
t	4921	4.6%
s	3699	3.4%
,	3289	3.1%
Other values (52)	39488	36.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	107626	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	14882	13.8%
e	10333	9.6%
o	7692	7.1%
r	6331	5.9%
i	6177	5.7%
n	5630	5.2%
a	5184	4.8%
t	4921	4.6%
s	3699	3.4%
,	3289	3.1%
Other values (52)	39488	36.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	107626	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	14882	13.8%
e	10333	9.6%
o	7692	7.1%
r	6331	5.9%
i	6177	5.7%
n	5630	5.2%
a	5184	4.8%
t	4921	4.6%
s	3699	3.4%
,	3289	3.1%
Other values (52)	39488	36.7%

Vuosittaiset verovapaat edut (EUR)
Real number (ℝ)

High correlation Missing Zeros

Distinct	47
Distinct (%)	12.9%
Missing	318
Missing (%)	46.6%
Infinite	0
Infinite (%)	0.0%
Mean	585.78022

Minimum	0
Maximum	7200
Zeros	29
Zeros (%)	4.3%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	300
median	400
Q3	700
95-th percentile	1285
Maximum	7200
Range	7200
Interquartile range (IQR)	400

Descriptive statistics

Standard deviation	672.40617
Coefficient of variation (CV)	1.1478813
Kurtosis	33.811512
Mean	585.78022
Median Absolute Deviation (MAD)	200
Skewness	4.7987587
Sum	213224
Variance	452130.05
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
400	99	14.5%
600	33	4.8%
0	29	4.3%
300	28	4.1%
200	28	4.1%
800	26	3.8%
1000	22	3.2%
500	17	2.5%
700	9	1.3%
1200	6	0.9%
Other values (37)	67	9.8%
(Missing)	318	46.6%

Value	Count	Frequency (%)
0	29	4.3%
50	1	0.1%
84	1	0.1%
100	3	0.4%
120	2	0.3%
150	4	0.6%
200	28	4.1%
220	2	0.3%
240	3	0.4%
250	5	0.7%

Value	Count	Frequency (%)
7200	1	0.1%
4800	1	0.1%
4000	2	0.3%
3000	2	0.3%
2700	1	0.1%
2640	1	0.1%
2576	1	0.1%
2500	3	0.4%
2000	4	0.6%
1660	1	0.1%

Luontoisedut
Categorical

High correlation Missing

Distinct	35
Distinct (%)	6.9%
Missing	177
Missing (%)	26.0%
Memory size	10.7 KiB

Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	199
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction)	72
Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	54
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed)	46
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	40
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed)	17
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Garage (outside work hours)	12
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Limited car benefit	8
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit)	7
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed), Limited car benefit	5
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Employer-subsidised commuter ticket (taxed)	4
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Employer-subsidised commuter ticket (taxed)	4
Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed)	4
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Limited car benefit	4
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Limited car benefit, Garage (outside work hours)	3
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Garage (outside work hours)	3
Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Garage (outside work hours)	2
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed), Unlimited car benefit	2
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Garage (outside work hours)	2
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Limited car benefit	2
Other values (15)	15

Length

Max length	281
Median length	258
Mean length	131.45149
Min length	12

Characters and Unicode

Total characters	66383
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	3.0%

Sample

1st row	Limited car benefit
2nd row	Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)
3rd row	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)
4th row	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)
5th row	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction)

Common Values

Value	Count	Frequency (%)
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	199	29.2%
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction)	72	10.6%
Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	54	7.9%
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed)	46	6.7%
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	40	5.9%
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed)	17	2.5%
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Garage (outside work hours)	12	1.8%
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Limited car benefit	8	1.2%
Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit)	7	1.0%
Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed), Limited car benefit	5	0.7%
Other values (25)	45	6.6%
(Missing)	177	26.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
benefit	550	5.9%
lunch	444	4.7%
employer	444	4.7%
pays	444	4.7%
paid	406	4.3%
with	406	4.3%
phone	406	4.3%
mobile	406	4.3%
if	406	4.3%
only	406	4.3%
Other values (34)	5057	53.9%

Most occurring characters

Value	Count	Frequency (%)
	8870	13.4%
e	5830	8.8%
n	5016	7.6%
l	4303	6.5%
i	4225	6.4%
p	3411	5.1%
o	3218	4.8%
t	3066	4.6%
a	2935	4.4%
u	2817	4.2%
Other values (39)	22692	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	66383	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	8870	13.4%
e	5830	8.8%
n	5016	7.6%
l	4303	6.5%
i	4225	6.4%
p	3411	5.1%
o	3218	4.8%
t	3066	4.6%
a	2935	4.4%
u	2817	4.2%
Other values (39)	22692	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	66383	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	8870	13.4%
e	5830	8.8%
n	5016	7.6%
l	4303	6.5%
i	4225	6.4%
p	3411	5.1%
o	3218	4.8%
t	3066	4.6%
a	2935	4.4%
u	2817	4.2%
Other values (39)	22692	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	66383	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	8870	13.4%
e	5830	8.8%
n	5016	7.6%
l	4303	6.5%
i	4225	6.4%
p	3411	5.1%
o	3218	4.8%
t	3066	4.6%
a	2935	4.4%
u	2817	4.2%
Other values (39)	22692	34.2%

Käyttöjärjestelmä
Categorical

Missing

Distinct	6
Distinct (%)	0.9%
Missing	9
Missing (%)	1.3%
Memory size	10.7 KiB

macOS	433
Windows	81
Linux (bare metal / native)	80
Windows + WSL	72
Windows + Linux VM	6
All of them	1

Length

Max length	27
Median length	5
Mean length	8.8365527
Min length	5

Characters and Unicode

Total characters	5947
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	macOS
2nd row	macOS
3rd row	macOS
4th row	Windows
5th row	macOS

Common Values

Value	Count	Frequency (%)
macOS	433	63.5%
Windows	81	11.9%
Linux (bare metal / native)	80	11.7%
Windows + WSL	72	10.6%
Windows + Linux VM	6	0.9%
All of them	1	0.1%
(Missing)	9	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
macos	433	37.4%
windows	159	13.7%
	158	13.7%
linux	86	7.4%
bare	80	6.9%
metal	80	6.9%
native	80	6.9%
wsl	72	6.2%
vm	6	0.5%
all	1	0.1%
Other values (2)	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
a	673	11.3%
m	514	8.6%
S	505	8.5%
	484	8.1%
c	433	7.3%
O	433	7.3%
i	325	5.5%
n	325	5.5%
e	241	4.1%
W	231	3.9%
Other values (21)	1783	30.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5947	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	673	11.3%
m	514	8.6%
S	505	8.5%
	484	8.1%
c	433	7.3%
O	433	7.3%
i	325	5.5%
n	325	5.5%
e	241	4.1%
W	231	3.9%
Other values (21)	1783	30.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5947	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	673	11.3%
m	514	8.6%
S	505	8.5%
	484	8.1%
c	433	7.3%
O	433	7.3%
i	325	5.5%
n	325	5.5%
e	241	4.1%
W	231	3.9%
Other values (21)	1783	30.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5947	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	673	11.3%
m	514	8.6%
S	505	8.5%
	484	8.1%
c	433	7.3%
O	433	7.3%
i	325	5.5%
n	325	5.5%
e	241	4.1%
W	231	3.9%
Other values (21)	1783	30.0%

Ohjelmointikieli
Text

Missing

Distinct	166
Distinct (%)	26.8%
Missing	63
Missing (%)	9.2%
Memory size	10.7 KiB

Length

Max length	44
Median length	32
Mean length	18.962843
Min length	2

Characters and Unicode

Total characters	11738
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	14.7%

Sample

1st row	TypeScript, Python, Go
2nd row	TypeScript
3rd row	TypeScript, Python
4th row	TypeScript, C#
5th row	TypeScript, Java, PHP

Value	Count	Frequency (%)
typescript	427	29.5%
python	259	17.9%
javascript	211	14.6%
c	98	6.8%
java	94	6.5%
bash	87	6.0%
go	60	4.1%
php	50	3.5%
kotlin	43	3.0%
clojure	19	1.3%
Other values (32)	100	6.9%

Most occurring characters

Value	Count	Frequency (%)
p	1073	9.1%
t	990	8.4%
	831	7.1%
,	823	7.0%
a	733	6.2%
i	708	6.0%
r	707	6.0%
y	696	5.9%
S	672	5.7%
c	653	5.6%
Other values (41)	3852	32.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11738	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
p	1073	9.1%
t	990	8.4%
	831	7.1%
,	823	7.0%
a	733	6.2%
i	708	6.0%
r	707	6.0%
y	696	5.9%
S	672	5.7%
c	653	5.6%
Other values (41)	3852	32.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11738	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
p	1073	9.1%
t	990	8.4%
	831	7.1%
,	823	7.0%
a	733	6.2%
i	708	6.0%
r	707	6.0%
y	696	5.9%
S	672	5.7%
c	653	5.6%
Other values (41)	3852	32.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11738	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
p	1073	9.1%
t	990	8.4%
	831	7.1%
,	823	7.0%
a	733	6.2%
i	708	6.0%
r	707	6.0%
y	696	5.9%
S	672	5.7%
c	653	5.6%
Other values (41)	3852	32.8%

Web-kehykset
Text

Missing

Distinct	144
Distinct (%)	29.6%
Missing	195
Missing (%)	28.6%
Memory size	10.7 KiB

Length

Max length	46
Median length	30
Mean length	18.147844
Min length	3

Characters and Unicode

Total characters	8838
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	88 ?
Unique (%)	18.1%

Sample

1st row	React, Svelte
2nd row	React, Next.js, Django
3rd row	Next.js, ASP.NET Core
4th row	React, Next.js, Spring Boot
5th row	React, Spring Boot

Value	Count	Frequency (%)
react	372	29.6%
node.js	207	16.5%
next.js	111	8.8%
express	62	4.9%
spring	61	4.9%
boot	61	4.9%
fastapi	56	4.5%
asp.net	43	3.4%
core	43	3.4%
django	41	3.3%
Other values (54)	199	15.8%

Most occurring characters

Value	Count	Frequency (%)
e	917	10.4%
	770	8.7%
t	655	7.4%
,	644	7.3%
s	592	6.7%
a	567	6.4%
o	442	5.0%
j	401	4.5%
.	401	4.5%
R	390	4.4%
Other values (45)	3059	34.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8838	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	917	10.4%
	770	8.7%
t	655	7.4%
,	644	7.3%
s	592	6.7%
a	567	6.4%
o	442	5.0%
j	401	4.5%
.	401	4.5%
R	390	4.4%
Other values (45)	3059	34.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8838	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	917	10.4%
	770	8.7%
t	655	7.4%
,	644	7.3%
s	592	6.7%
a	567	6.4%
o	442	5.0%
j	401	4.5%
.	401	4.5%
R	390	4.4%
Other values (45)	3059	34.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8838	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	917	10.4%
	770	8.7%
t	655	7.4%
,	644	7.3%
s	592	6.7%
a	567	6.4%
o	442	5.0%
j	401	4.5%
.	401	4.5%
R	390	4.4%
Other values (45)	3059	34.6%

Data & ML
Text

Missing

Distinct	76
Distinct (%)	17.7%
Missing	252
Missing (%)	37.0%
Memory size	10.7 KiB

Length

Max length	56
Median length	3
Mean length	12.311628
Min length	3

Characters and Unicode

Total characters	5294
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	10.7%

Sample

1st row	SQL, Kafka, scikit-learn
2nd row	SQL
3rd row	SQL, Pandas / NumPy
4th row	SQL, Apache Spark, Airflow
5th row	SQL

Value	Count	Frequency (%)
sql	388	38.8%
	143	14.3%
kafka	64	6.4%
pandas	57	5.7%
numpy	57	5.7%
snowflake	42	4.2%
bigquery	42	4.2%
redshift	42	4.2%
airflow	23	2.3%
pytorch	23	2.3%
Other values (34)	120	12.0%

Most occurring characters

Value	Count	Frequency (%)
	572	10.8%
S	450	8.5%
Q	435	8.2%
L	395	7.5%
a	360	6.8%
,	261	4.9%
e	189	3.6%
f	176	3.3%
i	156	2.9%
r	148	2.8%
Other values (45)	2152	40.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5294	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	572	10.8%
S	450	8.5%
Q	435	8.2%
L	395	7.5%
a	360	6.8%
,	261	4.9%
e	189	3.6%
f	176	3.3%
i	156	2.9%
r	148	2.8%
Other values (45)	2152	40.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5294	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	572	10.8%
S	450	8.5%
Q	435	8.2%
L	395	7.5%
a	360	6.8%
,	261	4.9%
e	189	3.6%
f	176	3.3%
i	156	2.9%
r	148	2.8%
Other values (45)	2152	40.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5294	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	572	10.8%
S	450	8.5%
Q	435	8.2%
L	395	7.5%
a	360	6.8%
,	261	4.9%
e	189	3.6%
f	176	3.3%
i	156	2.9%
r	148	2.8%
Other values (45)	2152	40.6%

DevOps & pilvi
Text

Missing

Distinct	110
Distinct (%)	18.1%
Missing	73
Missing (%)	10.7%
Memory size	10.7 KiB

Length

Max length	85
Median length	70
Mean length	47.059113
Min length	3

Characters and Unicode

Total characters	28659
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	6.4%

Sample

1st row	CI/CD (GitHub Actions, GitLab CI, Jenkins), AWS
2nd row	CI/CD (GitHub Actions, GitLab CI, Jenkins), Google Cloud Platform (GCP)
3rd row	Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI, Jenkins)
4th row	Terraform, CI/CD (GitHub Actions, GitLab CI, Jenkins), Microsoft Azure
5th row	Docker, Google Cloud Platform (GCP)

Value	Count	Frequency (%)
ci/cd	343	8.8%
github	342	8.8%
actions	342	8.8%
gitlab	342	8.8%
jenkins	342	8.8%
ci	342	8.8%
docker	334	8.6%
aws	203	5.2%
server	175	4.5%
terraform	158	4.1%
Other values (26)	975	25.0%

Most occurring characters

Value	Count	Frequency (%)
	3289	11.5%
e	1889	6.6%
i	1725	6.0%
,	1698	5.9%
r	1678	5.9%
o	1466	5.1%
t	1399	4.9%
n	1384	4.8%
s	1212	4.2%
C	1185	4.1%
Other values (35)	11734	40.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	28659	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	3289	11.5%
e	1889	6.6%
i	1725	6.0%
,	1698	5.9%
r	1678	5.9%
o	1466	5.1%
t	1399	4.9%
n	1384	4.8%
s	1212	4.2%
C	1185	4.1%
Other values (35)	11734	40.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	28659	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	3289	11.5%
e	1889	6.6%
i	1725	6.0%
,	1698	5.9%
r	1678	5.9%
o	1466	5.1%
t	1399	4.9%
n	1384	4.8%
s	1212	4.2%
C	1185	4.1%
Other values (35)	11734	40.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	28659	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	3289	11.5%
e	1889	6.6%
i	1725	6.0%
,	1698	5.9%
r	1678	5.9%
o	1466	5.1%
t	1399	4.9%
n	1384	4.8%
s	1212	4.2%
C	1185	4.1%
Other values (35)	11734	40.9%

Tietokannat
Text

Missing

Distinct	100
Distinct (%)	18.1%
Missing	131
Missing (%)	19.2%
Memory size	10.7 KiB

Length

Max length	49
Median length	41
Mean length	16.163339
Min length	3

Characters and Unicode

Total characters	8906
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	11.3%

Sample

1st row	PostgreSQL, Tiger Data (Timescale)
2nd row	PostgreSQL, Firestore
3rd row	PostgreSQL
4th row	PostgreSQL
5th row	MySQL

Value	Count	Frequency (%)
postgresql	411	38.2%
redis	136	12.6%
mysql	114	10.6%
sql	84	7.8%
server	83	7.7%
dynamodb	77	7.2%
mongodb	58	5.4%
oracle	21	2.0%
sqlite	13	1.2%
influxdb	7	0.7%
Other values (33)	72	6.7%

Most occurring characters

Value	Count	Frequency (%)
e	805	9.0%
S	707	7.9%
r	645	7.2%
o	626	7.0%
Q	621	7.0%
L	619	7.0%
s	588	6.6%
	530	6.0%
g	480	5.4%
t	451	5.1%
Other values (43)	2834	31.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8906	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	805	9.0%
S	707	7.9%
r	645	7.2%
o	626	7.0%
Q	621	7.0%
L	619	7.0%
s	588	6.6%
	530	6.0%
g	480	5.4%
t	451	5.1%
Other values (43)	2834	31.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8906	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	805	9.0%
S	707	7.9%
r	645	7.2%
o	626	7.0%
Q	621	7.0%
L	619	7.0%
s	588	6.6%
	530	6.0%
g	480	5.4%
t	451	5.1%
Other values (43)	2834	31.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8906	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	805	9.0%
S	707	7.9%
r	645	7.2%
o	626	7.0%
Q	621	7.0%
L	619	7.0%
s	588	6.6%
	530	6.0%
g	480	5.4%
t	451	5.1%
Other values (43)	2834	31.8%

Vapaa sana
Text

Missing

Distinct	35
Distinct (%)	100.0%
Missing	647
Missing (%)	94.9%
Memory size	10.7 KiB

Length

Max length	484
Median length	81
Mean length	86.628571
Min length	3

Characters and Unicode

Total characters	3032
Distinct characters	74
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	100.0%

Sample

1st row	"Number of change negotiations in your company during the last two calendar years" or something to showcase the volatility of the market. We've had two.
2nd row	Is your company hiring?: yes, join us at kaikucrew.com
3rd row	Startup status; feelings checks; AI tools mandates
4th row	Oletko tekoälyänkyrä
5th row	Amount of days need to be at customer office

Value	Count	Frequency (%)
in	11	2.2%
a	11	2.2%
the	11	2.2%
i	10	2.0%
you	10	2.0%
for	9	1.8%
ai	7	1.4%
to	7	1.4%
work	7	1.4%
of	7	1.4%
Other values (298)	419	82.3%

Most occurring characters

Value	Count	Frequency (%)
	468	15.4%
e	249	8.2%
o	221	7.3%
a	211	7.0%
t	198	6.5%
i	166	5.5%
n	162	5.3%
r	154	5.1%
s	140	4.6%
l	109	3.6%
Other values (64)	954	31.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3032	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	468	15.4%
e	249	8.2%
o	221	7.3%
a	211	7.0%
t	198	6.5%
i	166	5.5%
n	162	5.3%
r	154	5.1%
s	140	4.6%
l	109	3.6%
Other values (64)	954	31.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3032	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	468	15.4%
e	249	8.2%
o	221	7.3%
a	211	7.0%
t	198	6.5%
i	166	5.5%
n	162	5.3%
r	154	5.1%
s	140	4.6%
l	109	3.6%
Other values (64)	954	31.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3032	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	468	15.4%
e	249	8.2%
o	221	7.3%
a	211	7.0%
t	198	6.5%
i	166	5.5%
n	162	5.3%
r	154	5.1%
s	140	4.6%
l	109	3.6%
Other values (64)	954	31.5%

Palaute
Text

Missing

Distinct	49
Distinct (%)	100.0%
Missing	633
Missing (%)	92.8%
Memory size	10.7 KiB

Length

Max length	396
Median length	83
Mean length	90.367347
Min length	2

Characters and Unicode

Total characters	4428
Distinct characters	71
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49 ?
Unique (%)	100.0%

Sample

1st row	Kiitos, tämä on tärkeä kysely!
2nd row	AI usage would be maybe interesting info maybe. Holiday bonus could have option as "bonus as days off" or something if one chooses to rather have 6/12 extra vacation days instead of money if company allows it.
3rd row	Excellent survey.
4th row	En jaksa alkaa laskea kaikkia summia whatever.
5th row	ai tools? Primary editor? :) Good job!

Value	Count	Frequency (%)
the	25	3.3%
to	23	3.0%
of	15	2.0%
a	14	1.8%
in	12	1.6%
be	12	1.6%
would	11	1.5%
for	11	1.5%
	10	1.3%
survey	10	1.3%
Other values (382)	614	81.1%

Most occurring characters

Value	Count	Frequency (%)
	715	16.1%
e	418	9.4%
t	316	7.1%
o	285	6.4%
a	255	5.8%
s	248	5.6%
i	242	5.5%
n	207	4.7%
r	206	4.7%
l	174	3.9%
Other values (61)	1362	30.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4428	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	715	16.1%
e	418	9.4%
t	316	7.1%
o	285	6.4%
a	255	5.8%
s	248	5.6%
i	242	5.5%
n	207	4.7%
r	206	4.7%
l	174	3.9%
Other values (61)	1362	30.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4428	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	715	16.1%
e	418	9.4%
t	316	7.1%
o	285	6.4%
a	255	5.8%
s	248	5.6%
i	242	5.5%
n	207	4.7%
r	206	4.7%
l	174	3.9%
Other values (61)	1362	30.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4428	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	715	16.1%
e	418	9.4%
t	316	7.1%
o	285	6.4%
a	255	5.8%
s	248	5.6%
i	242	5.5%
n	207	4.7%
r	206	4.7%
l	174	3.9%
Other values (61)	1362	30.8%

Vastaustunniste
Text

Unique

Distinct	682
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	10.7 KiB

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	10912
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	682 ?
Unique (%)	100.0%

Sample

1st row	2a27944c9ee50d0c
2nd row	0ccb0b24699bc2c0
3rd row	16a59d6a893866f2
4th row	282df8e8786fc5e9
5th row	6f3bb4f81f79603d

Value	Count	Frequency (%)
2a27944c9ee50d0c	1	0.1%
0ccb0b24699bc2c0	1	0.1%
16a59d6a893866f2	1	0.1%
282df8e8786fc5e9	1	0.1%
6f3bb4f81f79603d	1	0.1%
03d8b27b951c041b	1	0.1%
0934d5fe86a3b35b	1	0.1%
b03e28d1db6f71dc	1	0.1%
df9e0d7f7c623cb6	1	0.1%
92e582269ffe7a6d	1	0.1%
Other values (672)	672	98.5%

Most occurring characters

Value	Count	Frequency (%)
6	728	6.7%
7	718	6.6%
c	716	6.6%
e	714	6.5%
f	711	6.5%
8	697	6.4%
5	696	6.4%
2	681	6.2%
d	674	6.2%
0	662	6.1%
Other values (6)	3915	35.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10912	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
6	728	6.7%
7	718	6.6%
c	716	6.6%
e	714	6.5%
f	711	6.5%
8	697	6.4%
5	696	6.4%
2	681	6.2%
d	674	6.2%
0	662	6.1%
Other values (6)	3915	35.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10912	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
6	728	6.7%
7	718	6.6%
c	716	6.6%
e	714	6.5%
f	711	6.5%
8	697	6.4%
5	696	6.4%
2	681	6.2%
d	674	6.2%
0	662	6.1%
Other values (6)	3915	35.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10912	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
6	728	6.7%
7	718	6.6%
c	716	6.6%
e	714	6.5%
f	711	6.5%
8	697	6.4%
5	696	6.4%
2	681	6.2%
d	674	6.2%
0	662	6.1%
Other values (6)	3915	35.9%

Vuositulot
Real number (ℝ)

High correlation Missing

Distinct	477
Distinct (%)	81.1%
Missing	94
Missing (%)	13.8%
Infinite	0
Infinite (%)	0.0%
Mean	102982.44

Minimum	24911
Maximum	2680297
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	24911
5-th percentile	46086
Q1	61113.75
median	73150
Q3	87600
95-th percentile	157132.18
Maximum	2680297
Range	2655386
Interquartile range (IQR)	26486.25

Descriptive statistics

Standard deviation	181937.4
Coefficient of variation (CV)	1.7666837
Kurtosis	88.309051
Mean	102982.44
Median Absolute Deviation (MAD)	13170
Skewness	8.4697036
Sum	60553676
Variance	3.3101219 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75600	9	1.3%
60000	8	1.2%
78000	7	1.0%
81900	7	1.0%
63000	6	0.9%
70560	6	0.9%
64800	5	0.7%
50400	4	0.6%
72000	4	0.6%
87600	4	0.6%
Other values (467)	528	77.4%
(Missing)	94	13.8%

Value	Count	Frequency (%)
24911	1	0.1%
25380	1	0.1%
27840	1	0.1%
30000	2	0.3%
31920	1	0.1%
33600	1	0.1%
33687.8	1	0.1%
34473.87	1	0.1%
34800	1	0.1%
37600	1	0.1%

Value	Count	Frequency (%)
2680297	1	0.1%
1347500	1	0.1%
1340000	1	0.1%
1320000	1	0.1%
1200000	1	0.1%
1159750	1	0.1%
1118282	1	0.1%
1109000	1	0.1%
1104980	1	0.1%
1100000	1	0.1%

Rooli (normalisoitu)
Text

Distinct	58
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Memory size	10.7 KiB

Length

Max length	89
Median length	68
Mean length	19.684751
Min length	0

Characters and Unicode

Total characters	13425
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	4.7%

Sample

1st row
2nd row	Founder, Technology or Otherwise
3rd row	AI/ML Engineer
4th row	Developer, Backend
5th row	Developer, Full-Stack

Value	Count	Frequency (%)
developer	361	23.8%
full-stack	259	17.1%
or	113	7.4%
engineer	68	4.5%
software	53	3.5%
solutions	51	3.4%
architect	50	3.3%
manager	38	2.5%
backend	38	2.5%
professional	30	2.0%
Other values (87)	456	30.1%

Most occurring characters

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13425	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13425	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13425	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1809	13.5%
l	1039	7.7%
r	941	7.0%
	931	6.9%
o	860	6.4%
t	729	5.4%
a	591	4.4%
c	533	4.0%
n	523	3.9%
,	443	3.3%
Other values (41)	5026	37.4%

Kk-tulot (laskennallinen)
Real number (ℝ)

High correlation Missing

Distinct	477
Distinct (%)	81.1%
Missing	94
Missing (%)	13.8%
Infinite	0
Infinite (%)	0.0%
Mean	8581.8701

Minimum	2075.9167
Maximum	223358.08
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	2075.9167
5-th percentile	3840.5
Q1	5092.8125
median	6095.8333
Q3	7300
95-th percentile	13094.348
Maximum	223358.08
Range	221282.17
Interquartile range (IQR)	2207.1875

Descriptive statistics

Standard deviation	15161.45
Coefficient of variation (CV)	1.7666837
Kurtosis	88.309051
Mean	8581.8701
Median Absolute Deviation (MAD)	1097.5
Skewness	8.4697036
Sum	5046139.6
Variance	2.2986958 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6300	9	1.3%
5000	8	1.2%
6500	7	1.0%
6825	7	1.0%
5250	6	0.9%
5880	6	0.9%
5400	5	0.7%
4200	4	0.6%
6000	4	0.6%
7300	4	0.6%
Other values (467)	528	77.4%
(Missing)	94	13.8%

Value	Count	Frequency (%)
2075.916667	1	0.1%
2115	1	0.1%
2320	1	0.1%
2500	2	0.3%
2660	1	0.1%
2800	1	0.1%
2807.316667	1	0.1%
2872.8225	1	0.1%
2900	1	0.1%
3133.333333	1	0.1%

Value	Count	Frequency (%)
223358.0833	1	0.1%
112291.6667	1	0.1%
111666.6667	1	0.1%
110000	1	0.1%
100000	1	0.1%
96645.83333	1	0.1%
93190.16667	1	0.1%
92416.66667	1	0.1%
92081.66667	1	0.1%
91666.66667	1	0.1%

Kk-tulot (laskennallinen, normalisoitu)
Real number (ℝ)

High correlation Missing

Distinct	494
Distinct (%)	84.7%
Missing	99
Missing (%)	14.5%
Infinite	0
Infinite (%)	0.0%
Mean	8569.5348

Minimum	2289.4737
Maximum	209398.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.7 KiB

Quantile statistics

Minimum	2289.4737
5-th percentile	3952.9167
Q1	5171.4583
median	6110
Q3	7290.8333
95-th percentile	12364.764
Maximum	209398.2
Range	207108.73
Interquartile range (IQR)	2119.375

Descriptive statistics

Standard deviation	14704.182
Coefficient of variation (CV)	1.715867
Kurtosis	80.037862
Mean	8569.5348
Median Absolute Deviation (MAD)	1073.3333
Skewness	8.1230236
Sum	4996038.8
Variance	2.1621297 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6300	9	1.3%
5000	7	1.0%
5880	6	0.9%
6825	6	0.9%
6500	5	0.7%
5250	5	0.7%
5670	4	0.6%
5565	4	0.6%
4725	4	0.6%
6000	4	0.6%
Other values (484)	529	77.6%
(Missing)	99	14.5%

Value	Count	Frequency (%)
2289.473684	1	0.1%
2500	2	0.3%
2625	1	0.1%
2695.945946	1	0.1%
2872.8225	1	0.1%
2900	1	0.1%
2937.5	1	0.1%
2965.595238	1	0.1%
3275	1	0.1%
3360	1	0.1%

Value	Count	Frequency (%)
209398.2031	1	0.1%
111666.6667	1	0.1%
105273.4375	1	0.1%
103125	1	0.1%
96645.83333	1	0.1%
93750	1	0.1%
93190.16667	1	0.1%
92416.66667	1	0.1%
92081.66667	1	0.1%
91666.66667	1	0.1%

Interactions

Correlations

	Bonus (EUR)	Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	Ikä	Kaupunki	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)	Koulutustaustasi	Kuinka suuren osan ajasta teet lähityönä toimistolla?	Kuukausipalkka	Käyttöjärjestelmä	Laskutettavat tunnit viikossa	Laskutustavat	Lomaraha (EUR)	Luontoisedut	Millaisessa yrityksessä työskentelet?	Mistä asiakkaat ovat?	Montako vuotta olet tehnyt laskuttavaa työtä alalla?	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	Opintoala	Osakkeet/optiot (EUR)	Palkansaaja vai laskuttaja	Provisio (kk, brutto)	Seniority	Siirtynyt palkansaaja/laskuttaja	Sopimuksen pituus	Sukupuoli	Suomen kielen taito	Tulojen muutos viime vuodesta (%)	Tuntilaskutus (ALV 0%, euroina)	Työaika	Työkieli	Työkokemus alalta (vuosina)	Työpaikkojen lukumäärä	Viikot ilman laskutusta	Virallinen senioriteetti	Vuosia nykyisellä työnantajalla	Vuosilaskutus (ALV 0%, euroina)	Vuosittaiset verovapaat edut (EUR)	Vuositulot
Bonus (EUR)	1.000	1.000	0.103	0.437	0.190	0.204	0.000	0.029	0.205	0.000	NaN	1.000	0.251	0.000	0.000	1.000	NaN	0.065	0.000	0.032	0.000	-0.040	0.073	0.000	1.000	0.000	0.000	0.040	NaN	0.007	0.000	0.016	-0.040	NaN	0.078	0.072	NaN	-0.004	0.190
Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	1.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.166	0.000	0.638	1.000	0.000	0.000	0.619	0.000	0.000	0.212	1.000	1.000	1.000	0.000	0.167	0.393	0.000	0.000	0.326	0.000	0.000	0.000	0.000	0.000	0.234	0.000	0.000	0.189	0.000	0.000
Ikä	0.103	0.000	1.000	0.000	0.057	0.000	0.129	0.035	0.058	0.070	0.199	0.000	0.106	0.051	0.000	0.000	0.261	0.071	0.000	0.000	0.096	0.487	0.209	0.000	0.075	0.058	0.000	0.000	0.152	0.075	0.000	0.439	0.098	0.416	0.000	0.111	0.289	0.000	0.057
Kaupunki	0.437	0.000	0.000	1.000	0.469	0.384	0.155	0.008	0.477	0.091	0.000	0.000	0.150	0.148	0.000	0.000	0.000	0.096	0.000	0.465	1.000	0.000	0.045	0.163	0.000	0.000	0.000	0.376	0.000	0.112	0.454	0.000	0.206	0.000	0.000	0.000	0.000	0.000	0.469
Kk-tulot (laskennallinen)	0.190	0.000	0.057	0.469	1.000	0.972	0.034	-0.092	0.977	0.000	NaN	0.000	0.521	0.000	0.000	0.000	NaN	0.045	0.000	0.315	1.000	0.206	0.055	0.000	0.000	0.000	0.149	-0.048	NaN	0.232	0.000	0.612	0.505	NaN	0.000	0.077	NaN	0.045	1.000
Kk-tulot (laskennallinen, normalisoitu)	0.204	0.000	0.000	0.384	0.972	1.000	0.032	-0.076	0.945	0.000	NaN	0.000	0.526	0.000	0.000	0.000	NaN	0.057	0.000	0.326	1.000	0.214	0.030	0.000	0.000	0.000	0.282	-0.048	NaN	0.073	0.000	0.608	0.500	NaN	0.064	0.097	NaN	0.088	0.972
Koulutustaustasi	0.000	0.000	0.129	0.155	0.034	0.032	1.000	0.059	0.043	0.000	0.134	0.000	0.000	0.000	0.000	0.000	0.190	0.051	0.244	0.128	0.000	0.000	0.106	0.104	0.119	0.028	0.000	0.156	0.429	0.122	0.000	0.050	0.000	0.485	0.060	0.029	0.231	0.000	0.034
Kuinka suuren osan ajasta teet lähityönä toimistolla?	0.029	0.000	0.035	0.008	-0.092	-0.076	0.059	1.000	-0.075	0.000	NaN	0.000	-0.108	0.088	0.000	0.000	NaN	0.021	0.000	-0.001	1.000	-0.066	0.000	0.000	0.000	0.095	0.061	0.051	NaN	-0.014	0.074	-0.006	-0.082	NaN	0.091	0.080	NaN	0.055	-0.092
Kuukausipalkka	0.205	1.000	0.058	0.477	0.977	0.945	0.043	-0.075	1.000	0.000	NaN	1.000	0.582	0.000	0.070	1.000	NaN	0.056	0.000	0.262	0.000	0.267	0.035	0.079	1.000	0.000	0.233	0.059	NaN	0.246	0.000	0.382	0.253	NaN	0.057	0.079	NaN	0.024	0.977
Käyttöjärjestelmä	0.000	0.166	0.070	0.091	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.151	0.000	0.182	0.000	0.000	0.137	0.085	0.141	0.000	0.000	0.060	0.090	0.056	0.000	0.073	0.000	0.000	0.215	0.000	0.178	0.116	0.040	0.161	0.053	0.130	0.204	0.313	0.000
Laskutettavat tunnit viikossa	NaN	0.000	0.199	0.000	NaN	NaN	0.134	NaN	NaN	0.000	1.000	0.196	NaN	0.000	0.000	0.154	-0.044	0.000	0.000	NaN	1.000	NaN	0.000	0.000	0.000	0.132	0.000	-0.016	-0.042	NaN	0.000	0.293	0.075	-0.369	0.000	-0.115	0.441	NaN	NaN
Laskutustavat	1.000	0.638	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.151	0.196	1.000	1.000	0.000	0.000	0.630	0.098	0.000	0.000	1.000	1.000	1.000	0.000	0.215	0.418	0.000	0.000	0.366	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.000	0.127	0.000	0.000
Lomaraha (EUR)	0.251	1.000	0.106	0.150	0.521	0.526	0.000	-0.108	0.582	0.000	NaN	1.000	1.000	0.000	0.000	1.000	NaN	0.232	0.000	0.096	0.522	0.114	0.238	0.167	1.000	0.058	0.000	0.052	NaN	0.009	0.000	0.228	0.057	NaN	0.039	0.163	NaN	0.095	0.521
Luontoisedut	0.000	0.000	0.051	0.148	0.000	0.000	0.000	0.088	0.000	0.182	0.000	0.000	0.000	1.000	0.027	0.000	0.000	0.036	0.000	0.000	1.000	0.000	0.213	0.000	0.000	0.000	0.000	0.000	0.000	0.271	0.000	0.024	0.280	0.000	0.075	0.000	0.000	0.095	0.000
Millaisessa yrityksessä työskentelet?	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.070	0.000	0.000	0.000	0.000	0.027	1.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.099	0.000	0.000	0.000	0.023	0.000	0.000	0.173	0.110	0.032	0.045	0.000	0.000	0.059	0.000	0.000	0.000
Mistä asiakkaat ovat?	1.000	0.619	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.154	0.630	1.000	0.000	0.000	1.000	0.335	0.000	0.000	1.000	1.000	1.000	0.000	0.145	0.586	0.000	0.000	0.528	0.000	0.000	0.197	0.285	0.000	0.000	0.000	0.000	0.073	0.000	0.000
Montako vuotta olet tehnyt laskuttavaa työtä alalla?	NaN	0.000	0.261	0.000	NaN	NaN	0.190	NaN	NaN	0.137	-0.044	0.098	NaN	0.000	0.000	0.335	1.000	0.000	0.254	NaN	1.000	NaN	0.000	0.727	0.183	0.336	0.000	-0.097	0.086	NaN	0.000	0.463	0.137	-0.037	0.000	0.695	0.233	NaN	NaN
Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	0.065	0.000	0.071	0.096	0.045	0.057	0.051	0.021	0.056	0.085	0.000	0.000	0.232	0.036	0.000	0.000	0.000	1.000	0.079	0.089	1.000	0.000	0.130	0.000	0.000	0.085	0.100	0.071	0.000	0.042	0.136	0.124	0.165	0.000	0.035	0.107	0.000	0.000	0.045
Opintoala	0.000	0.212	0.000	0.000	0.000	0.000	0.244	0.000	0.000	0.141	0.000	0.000	0.000	0.000	0.000	0.000	0.254	0.079	1.000	0.000	0.000	0.000	0.198	0.141	0.000	0.176	0.000	0.059	0.228	0.000	0.000	0.104	0.140	0.360	0.000	0.000	0.284	0.137	0.000
Osakkeet/optiot (EUR)	0.032	1.000	0.000	0.465	0.315	0.326	0.128	-0.001	0.262	0.000	NaN	1.000	0.096	0.000	0.000	1.000	NaN	0.089	0.000	1.000	0.000	0.027	0.090	0.000	1.000	0.000	0.000	0.134	NaN	0.097	0.000	0.057	0.097	NaN	0.000	0.011	NaN	0.076	0.315
Palkansaaja vai laskuttaja	0.000	1.000	0.096	1.000	1.000	1.000	0.000	1.000	0.000	0.000	1.000	1.000	0.522	1.000	1.000	1.000	1.000	1.000	0.000	0.000	1.000	0.000	1.000	0.414	1.000	0.116	0.084	0.103	1.000	1.000	0.101	0.154	0.223	1.000	1.000	0.000	1.000	1.000	1.000
Provisio (kk, brutto)	-0.040	1.000	0.487	0.000	0.206	0.214	0.000	-0.066	0.267	0.060	NaN	1.000	0.114	0.000	0.000	1.000	NaN	0.000	0.000	0.027	0.000	1.000	0.000	0.000	1.000	0.000	0.000	-0.075	NaN	0.015	0.000	0.081	0.009	NaN	0.000	0.057	NaN	0.151	0.206
Seniority	0.073	0.000	0.209	0.045	0.055	0.030	0.106	0.000	0.035	0.090	0.000	0.000	0.238	0.213	0.099	0.000	0.000	0.130	0.198	0.090	1.000	0.000	1.000	0.000	0.000	0.123	0.025	0.125	0.000	0.102	0.000	0.351	0.188	0.000	0.090	0.100	0.000	0.000	0.055
Siirtynyt palkansaaja/laskuttaja	0.000	0.167	0.000	0.163	0.000	0.000	0.104	0.000	0.079	0.056	0.000	0.215	0.167	0.000	0.000	0.145	0.727	0.000	0.141	0.000	0.414	0.000	0.000	1.000	0.258	0.053	0.000	0.348	0.000	0.000	0.109	0.000	0.063	0.000	0.000	0.162	0.103	0.151	0.000
Sopimuksen pituus	1.000	0.393	0.075	0.000	0.000	0.000	0.119	0.000	1.000	0.000	0.000	0.418	1.000	0.000	0.000	0.586	0.183	0.000	0.000	1.000	1.000	1.000	0.000	0.258	1.000	0.133	0.000	0.423	0.194	0.000	0.000	0.000	0.000	0.334	0.000	0.000	0.223	0.000	0.000
Sukupuoli	0.000	0.000	0.058	0.000	0.000	0.000	0.028	0.095	0.000	0.073	0.132	0.000	0.058	0.000	0.000	0.000	0.336	0.085	0.176	0.000	0.116	0.000	0.123	0.053	0.133	1.000	0.000	0.000	0.000	0.107	0.000	0.137	0.082	0.304	0.000	0.200	0.116	0.000	0.000
Suomen kielen taito	0.000	0.000	0.000	0.000	0.149	0.282	0.000	0.061	0.233	0.000	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.100	0.000	0.000	0.084	0.000	0.025	0.000	0.000	0.000	1.000	0.241	0.364	0.000	0.149	0.000	0.157	0.000	0.000	0.000	0.000	0.323	0.149
Tulojen muutos viime vuodesta (%)	0.040	0.326	0.000	0.376	-0.048	-0.048	0.156	0.051	0.059	0.000	-0.016	0.366	0.052	0.000	0.000	0.528	-0.097	0.071	0.059	0.134	0.103	-0.075	0.125	0.348	0.423	0.000	0.241	1.000	0.159	0.016	0.000	-0.243	-0.132	-0.030	0.000	-0.233	0.119	0.038	-0.048
Tuntilaskutus (ALV 0%, euroina)	NaN	0.000	0.152	0.000	NaN	NaN	0.429	NaN	NaN	0.215	-0.042	0.000	NaN	0.000	0.000	0.000	0.086	0.000	0.228	NaN	1.000	NaN	0.000	0.000	0.194	0.000	0.364	0.159	1.000	NaN	0.000	0.427	0.221	0.065	0.000	0.003	0.383	NaN	NaN
Työaika	0.007	0.000	0.075	0.112	0.232	0.073	0.122	-0.014	0.246	0.000	NaN	0.000	0.009	0.271	0.173	0.000	NaN	0.042	0.000	0.097	1.000	0.015	0.102	0.000	0.000	0.107	0.000	0.016	NaN	1.000	0.000	0.074	0.113	NaN	0.000	-0.128	NaN	-0.057	0.232
Työkieli	0.000	0.000	0.000	0.454	0.000	0.000	0.000	0.074	0.000	0.178	0.000	0.000	0.000	0.000	0.110	0.197	0.000	0.136	0.000	0.000	0.101	0.000	0.000	0.109	0.000	0.000	0.149	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.039	0.000	0.126	0.000	0.000
Työkokemus alalta (vuosina)	0.016	0.000	0.439	0.000	0.612	0.608	0.050	-0.006	0.382	0.116	0.293	0.000	0.228	0.024	0.032	0.285	0.463	0.124	0.104	0.057	0.154	0.081	0.351	0.000	0.000	0.137	0.000	-0.243	0.427	0.074	0.000	1.000	0.555	-0.242	0.089	0.295	0.540	0.102	0.612
Työpaikkojen lukumäärä	-0.040	0.000	0.098	0.206	0.505	0.500	0.000	-0.082	0.253	0.040	0.075	0.000	0.057	0.280	0.045	0.000	0.137	0.165	0.140	0.097	0.223	0.009	0.188	0.063	0.000	0.082	0.157	-0.132	0.221	0.113	0.000	0.555	1.000	-0.030	0.068	-0.228	0.317	0.045	0.505
Viikot ilman laskutusta	NaN	0.234	0.416	0.000	NaN	NaN	0.485	NaN	NaN	0.161	-0.369	0.049	NaN	0.000	0.000	0.000	-0.037	0.000	0.360	NaN	1.000	NaN	0.000	0.000	0.334	0.304	0.000	-0.030	0.065	NaN	0.000	-0.242	-0.030	1.000	0.000	0.032	-0.377	NaN	NaN
Virallinen senioriteetti	0.078	0.000	0.000	0.000	0.000	0.064	0.060	0.091	0.057	0.053	0.000	0.000	0.039	0.075	0.000	0.000	0.000	0.035	0.000	0.000	1.000	0.000	0.090	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.039	0.089	0.068	0.000	1.000	0.000	0.000	0.070	0.000
Vuosia nykyisellä työnantajalla	0.072	0.000	0.111	0.000	0.077	0.097	0.029	0.080	0.079	0.130	-0.115	0.000	0.163	0.000	0.059	0.000	0.695	0.107	0.000	0.011	0.000	0.057	0.100	0.162	0.000	0.200	0.000	-0.233	0.003	-0.128	0.000	0.295	-0.228	0.032	0.000	1.000	0.155	0.089	0.077
Vuosilaskutus (ALV 0%, euroina)	NaN	0.189	0.289	0.000	NaN	NaN	0.231	NaN	NaN	0.204	0.441	0.127	NaN	0.000	0.000	0.073	0.233	0.000	0.284	NaN	1.000	NaN	0.000	0.103	0.223	0.116	0.000	0.119	0.383	NaN	0.126	0.540	0.317	-0.377	0.000	0.155	1.000	NaN	NaN
Vuosittaiset verovapaat edut (EUR)	-0.004	0.000	0.000	0.000	0.045	0.088	0.000	0.055	0.024	0.313	NaN	0.000	0.095	0.095	0.000	0.000	NaN	0.000	0.137	0.076	1.000	0.151	0.000	0.151	0.000	0.000	0.323	0.038	NaN	-0.057	0.000	0.102	0.045	NaN	0.070	0.089	NaN	1.000	0.045
Vuositulot	0.190	0.000	0.057	0.469	1.000	0.972	0.034	-0.092	0.977	0.000	NaN	0.000	0.521	0.000	0.000	0.000	NaN	0.045	0.000	0.315	1.000	0.206	0.055	0.000	0.000	0.000	0.149	-0.048	NaN	0.232	0.000	0.612	0.505	NaN	0.000	0.077	NaN	0.045	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Timestamp	Palkansaaja vai laskuttaja	Siirtynyt palkansaaja/laskuttaja	Ikä	Sukupuoli	Suomen kielen taito	Työkieli	Työkokemus alalta (vuosina)	Vuosia nykyisellä työnantajalla	Työpaikkojen lukumäärä	Yrityksen koko	Koulutustaustasi	Opintoala	Tulojen muutos viime vuodesta (%)	Montako vuotta olet tehnyt laskuttavaa työtä alalla?	Palvelut	Tuntilaskutus (ALV 0%, euroina)	Vuosilaskutus (ALV 0%, euroina)	Laskutettavat tunnit viikossa	Viikot ilman laskutusta	Laskutustavat	Sopimuksen pituus	Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	Mistä asiakkaat ovat?	Työpaikka	Kaupunki	Millaisessa yrityksessä työskentelet?	Työaika	Kuinka suuren osan ajasta teet lähityönä toimistolla?	Rooli	Seniority	Virallinen senioriteetti	Kuukausipalkka	Provisio (kk, brutto)	Lomaraha (EUR)	Bonus (EUR)	Vapaa kuvaus kokonaiskompensaatiomallista	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	Bonukset (kuvaus)	Edut (ei luontoisedut)	Vuosittaiset verovapaat edut (EUR)	Luontoisedut	Käyttöjärjestelmä	Ohjelmointikieli	Web-kehykset	Data & ML	DevOps & pilvi	Tietokannat	Vapaa sana	Palaute	Vastaustunniste	Vuositulot	Rooli (normalisoitu)	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)
0	2026-02-09 08:08:48.457	Laskuttaja	Ei	38	mies	Yes	Both	10.0	4.0	4.0	1	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	Arts and Humanities	-5.00	4.0	Fullstack development with backend focus	85.0	100000.0	30.0	9.0	Hourly billing	3-6 months	Myself, Agencies	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	macOS	TypeScript, Python, Go	NaN	SQL, Kafka, scikit-learn	CI/CD (GitHub Actions, GitLab CI, Jenkins), AWS	PostgreSQL, Tiger Data (Timescale)	NaN	NaN	2a27944c9ee50d0c	NaN		NaN	NaN
1	2026-02-09 08:10:51.389	Palkansaaja	Ei	48	mies	Yes	Both	20.0	4.0	5.0	11-50	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	Information and Communication Technologies (ICT / Computer Science)	21.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Tuotetalossa, jonka core-bisnes on softa	1.20	0.10	Founder, Technology or Otherwise	Manager or People Lead	Yes	7000.0	0.0	3500.0	0.0	NaN	Alle markkinatason	Lomaraha (Holiday bonus)	Health insurance, Work laptop, Free gym membership, Fixed-line internet to your home, Monitors for home office	NaN	Limited car benefit	macOS	TypeScript	React, Svelte	NaN	CI/CD (GitHub Actions, GitLab CI, Jenkins), Google Cloud Platform (GCP)	PostgreSQL, Firestore	NaN	NaN	0ccb0b24699bc2c0	87500.0	Founder, Technology or Otherwise	7291.666667	6076.388889
2	2026-02-09 08:13:13.891	Palkansaaja	Ei	38	mies	Yes	Both	14.0	3.0	5.0	3-5	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	0.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Turku	Tuotetalossa, jonka core-bisnes on softa	1.12	0.20	AI/ML Engineer	Staff / Principal / Lead	No	6000.0	0.0	3100.0	0.0	NaN	Alle markkinatason	Stock options / equity	Health insurance, Work laptop, Monitors for home office	NaN	Full Lunch benefit employer pays 100% (luontoisetu/fringe benefit), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	macOS	TypeScript, Python	React, Next.js, Django	NaN	Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI, Jenkins)	PostgreSQL	NaN	Kiitos, tämä on tärkeä kysely!	16a59d6a893866f2	75100.0	AI/ML Engineer	6258.333333	5587.797619
3	2026-02-09 08:14:20.316	Palkansaaja	Ei	28	mies	Yes	Both	6.0	4.0	3.0	501-1000	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	0.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Konsultointi	1.00	0.05	Developer, Backend	Senior	Yes	4900.0	0.0	2940.0	9805.0	NaN	Markkinataso	Lomaraha (Holiday bonus), Individual performance bonus, Company performance bonus	Health insurance, Work laptop, Training/Courses/Education budget, Other tools like high-end keyboard, mouse etc, Monitors for home office, Snacks and beverages in office	1000.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	Windows	TypeScript, C#	Next.js, ASP.NET Core	SQL	Terraform, CI/CD (GitHub Actions, GitLab CI, Jenkins), Microsoft Azure	PostgreSQL	NaN	NaN	282df8e8786fc5e9	71545.0	Developer, Backend	5962.083333	5962.083333
4	2026-02-09 08:14:32.538	Palkansaaja	Ei	43	mies	Yes	Finnish	20.0	10.0	4.0	101-500	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	1.25	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yritys, jossa softa tukirooli	1.00	0.20	Developer, Full-Stack	Senior	No	7000.0	0.0	5040.0	5400.0	NaN	Markkinataso	Lomaraha (Holiday bonus), Company performance bonus, Referral bonus (for successful hires), On-call compensation (standby pay)	Work laptop, Free office parking (during work hours), Monitors for home office	NaN	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	macOS	TypeScript, Java, PHP	React, Next.js, Spring Boot	NaN	Docker, Google Cloud Platform (GCP)	MySQL	NaN	NaN	6f3bb4f81f79603d	94440.0	Developer, Full-Stack	7870.000000	7870.000000
5	2026-02-09 08:14:41.435	Palkansaaja	Ei	43	mies	Yes	Finnish	20.0	3.0	6.0	51-100	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	Business, Administration, and Law	5.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Tuotetalossa, jonka core-bisnes on softa	1.00	0.00	Developer, QA or Test	Senior	No	5500.0	0.0	3000.0	2000.0	NaN	Markkinataso	Lomaraha (Holiday bonus), Company performance bonus, Overtime extra pay (e.g. 1.5x or 2x pay rate), Referral bonus (for successful hires)	Health insurance, Work remotely from abroad (1 week or more), Work laptop, Mobile phone with paid plan (Select only if NO 20 € puhelinetu on payslip), Home office equipment budget (chair, desk, etc.), Fixed-line internet to your home, Other tools like high-end keyboard, mouse etc, Monitors for home office	600.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction)	macOS	JavaScript, Python	NaN	NaN	Docker, CI/CD (GitHub Actions, GitLab CI, Jenkins)	PostgreSQL	NaN	NaN	03d8b27b951c041b	71000.0	Developer, QA or Test	5916.666667	5916.666667
6	2026-02-09 08:14:43.034	Laskuttaja	Ei	38	mies	Yes	Both	13.0	3.0	4.0	1	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	0.00	3.0	Software development full-stack	74.0	124000.0	37.5	5.0	Hourly billing	6-12 months	Agencies	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	Windows	JavaScript, Java	React, Spring Boot	NaN	Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI, Jenkins)	Db2	NaN	NaN	0934d5fe86a3b35b	NaN		NaN	NaN
7	2026-02-09 08:16:30.363	Palkansaaja	Ei	43	mies	Yes	English	15.0	8.0	4.0	1001-5000	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	Information and Communication Technologies (ICT / Computer Science)	0.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yritys, jossa softa tukirooli	1.00	0.40	Developer, Full-Stack	Senior	Yes	4950.0	0.0	2970.0	1800.0	NaN	Alle markkinatason	Lomaraha (Holiday bonus), Company performance bonus	Health insurance, Work remotely from abroad (1 week or more), Work laptop	250.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	macOS	JavaScript, TypeScript	React, Node.js	NaN	CI/CD (GitHub Actions, GitLab CI, Jenkins), AWS	DynamoDB	NaN	AI usage would be maybe interesting info maybe. Holiday bonus could have option as "bonus as days off" or something if one chooses to rather have 6/12 extra vacation days instead of money if company allows it.	b03e28d1db6f71dc	64170.0	Developer, Full-Stack	5347.500000	5347.500000
8	2026-02-09 08:19:04.143	Palkansaaja	Ei	28	mies	Yes	Both	5.0	4.0	2.0	101-500	Master’s degree – university (FM, KTM, DI, etc.)	Engineering, Manufacturing, and Construction	9.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Konsultointi	1.00	0.90	Developer, QA or Test	Senior	No	4925.0	0.0	2955.0	0.0	NaN	Markkinataso	Lomaraha (Holiday bonus), Referral bonus (for successful hires)	Health insurance, Work remotely from abroad (1 week or more), Work laptop, Free gym membership, Training/Courses/Education budget, Snacks and beverages in office, Public transport subsidy (tax-free)	800.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	Windows + WSL	JavaScript, Python, Robot Framework	React, Node.js, Django	SQL, Pandas / NumPy	Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI, Jenkins)	NaN	"Number of change negotiations in your company during the last two calendar years" or something to showcase the volatility of the market. We've had two.	Excellent survey.	df9e0d7f7c623cb6	62055.0	Developer, QA or Test	5171.250000	5171.250000
9	2026-02-09 08:21:01.882	Palkansaaja	Ei	33	mies	Yes	Both	15.0	3.0	3.0	51-100	Doctorate (PhD / tohtori)	Natural Sciences, Mathematics, and Statistics	0.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Konsultointi	1.20	0.10	AI/ML Engineer	Staff / Principal / Lead	Yes	7200.0	4000.0	0.0	0.0	NaN	Markkinataso	Lomaraha (Holiday bonus), Stock options / equity, Profit sharing, Commission (sales or performance-based), Referral bonus (for successful hires)	Health insurance, Work remotely from abroad (1 week or more), Work laptop, Mobile phone with paid plan (Select only if NO 20 € puhelinetu on payslip), Free office parking (during work hours), Monitors for home office, Snacks and beverages in office	200.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	macOS	TypeScript, Python, C++	React, Next.js, FastAPI	SQL, Apache Spark, Airflow	Docker, CI/CD (GitHub Actions, GitLab CI, Jenkins), Microsoft Azure	PostgreSQL, Redis, InfluxDB	NaN	NaN	92e582269ffe7a6d	86400.0	AI/ML Engineer	7200.000000	6000.000000

	Timestamp	Palkansaaja vai laskuttaja	Siirtynyt palkansaaja/laskuttaja	Ikä	Sukupuoli	Suomen kielen taito	Työkieli	Työkokemus alalta (vuosina)	Vuosia nykyisellä työnantajalla	Työpaikkojen lukumäärä	Yrityksen koko	Koulutustaustasi	Opintoala	Tulojen muutos viime vuodesta (%)	Montako vuotta olet tehnyt laskuttavaa työtä alalla?	Palvelut	Tuntilaskutus (ALV 0%, euroina)	Vuosilaskutus (ALV 0%, euroina)	Laskutettavat tunnit viikossa	Viikot ilman laskutusta	Laskutustavat	Sopimuksen pituus	Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	Mistä asiakkaat ovat?	Työpaikka	Kaupunki	Millaisessa yrityksessä työskentelet?	Työaika	Kuinka suuren osan ajasta teet lähityönä toimistolla?	Rooli	Seniority	Virallinen senioriteetti	Kuukausipalkka	Lomaraha (EUR)	Bonus (EUR)	Osakkeet/optiot (EUR)	Vapaa kuvaus kokonaiskompensaatiomallista	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	Bonukset (kuvaus)	Edut (ei luontoisedut)	Vuosittaiset verovapaat edut (EUR)	Luontoisedut	Käyttöjärjestelmä	Ohjelmointikieli	Web-kehykset	Data & ML	DevOps & pilvi	Tietokannat	Vapaa sana	Palaute	Vastaustunniste	Vuositulot	Rooli (normalisoitu)	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)
673	2026-03-02 10:46:07.611	Palkansaaja	Ei	43	mies	Yes	Both	26.0	11.0	7.0	101-500	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	2.74	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Tuotetalossa, jonka core-bisnes on softa	1.040000	0.30	Architect, Software or Solutions	Staff / Principal / Lead	Yes	10788.0	6472.8	0.0	0.0	NaN	Yli markkinatason	Lomaraha (Holiday bonus), Individual performance bonus, Sign-on bonus, Overtime extra pay (e.g. 1.5x or 2x pay rate), Stock options / equity, Commission (sales or performance-based), Referral bonus (for successful hires), On-call compensation (standby pay)	Health insurance, Work remotely from abroad (1 week or more), Work laptop, Training/Courses/Education budget, Fixed-line internet to your home, Other tools like high-end keyboard, mouse etc, Monitors for home office, Snacks and beverages in office, Public transport subsidy (tax-free)	NaN	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip), Employer-subsidised commuter ticket (taxed)	macOS	Go, Bash,	NaN	SQL, Kafka	Linux server, Docker, Ansible	PostgreSQL, MySQL	Direct reporteers, commercial responsibilities, travel days	NaN	6ec137a9b0a09028	135928.8	Architect, Software or Solutions	11327.400000	10891.730769
674	2026-03-02 10:52:18.927	Palkansaaja	Ei	33	mies	Yes	Finnish	8.0	8.0	2.0	11-50	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	Information and Communication Technologies (ICT / Computer Science)	3.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Turku	Konsultointi	1.000000	0.90	Architect, Software or Solutions	Manager or People Lead	Yes	6100.0	3000.0	500.0	0.0	NaN	Markkinataso	Lomaraha (Holiday bonus), Company performance bonus, Referral bonus (for successful hires)	Health insurance, Work laptop, Home office equipment budget (chair, desk, etc.), Free office parking (during work hours), Free gym membership, Training/Courses/Education budget, Other tools like high-end keyboard, mouse etc, Snacks and beverages in office	400.0	NaN	Windows + WSL	TypeScript, Python	React, Node.js, Django	SQL	Terraform, CI/CD (GitHub Actions, GitLab CI, Jenkins), Microsoft Azure	PostgreSQL, MySQL, Redis	NaN	NaN	0d48cbe29d3e0b69	76700.0	Architect, Software or Solutions	6391.666667	6391.666667
675	2026-03-02 11:11:22.208	Palkansaaja	Ei	28	mies	Yes	Both	6.0	8.0	1.0	10000+	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	4.43	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Oulu	Tuotetalossa, jonka core-bisnes on softa	1.000000	0.50	Developer, Backend	Mid-level	Yes	4008.0	2402.0	6663.0	2100.0	Salary + bonus (perf driven, monetary) + stock bonus	Markkinataso	Lomaraha (Holiday bonus), Individual performance bonus, Company performance bonus, Overtime extra pay (e.g. 1.5x or 2x pay rate), Stock options / equity, Profit sharing, Referral bonus (for successful hires), On-call compensation (standby pay)	Health insurance, Work laptop, Home office equipment budget (chair, desk, etc.), Free office parking (during work hours), Free gym membership, Monitors for home office, Public transport subsidy (tax-free)	400.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	Windows + WSL	Python, Bash	Django, Flask, FastAPI	Kafka, Pandas / NumPy,	Linux server, Docker, CI/CD (GitHub Actions, GitLab CI, Jenkins)	MySQL, Redis, Elasticsearch	NaN	NaN	369055fe35eab2e2	59261.0	Developer, Backend	4938.416667	4938.416667
676	2026-03-02 11:59:28.546	Laskuttaja	Ei	48	mies	Yes	Both	25.0	5.0	4.0	3-5	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	10.00	5.0	Own SaaS application	NaN	NaN	NaN	NaN	Fixed price / project-based	6-12 months	Own sales	Finland, Abroad	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	macOS	TypeScript	React, Next.js, Node.js	SQL	Docker, CI/CD (GitHub Actions, GitLab CI, Jenkins), AWS	PostgreSQL, DynamoDB	Questions does not work at all for SaaS company	NaN	56a2c9a1390877d9	NaN		NaN	NaN
677	2026-03-02 12:16:16.031	Palkansaaja	Ei	48	mies	Yes	English	20.0	4.0	6.0	10000+	Master’s degree – university (FM, KTM, DI, etc.)	Information and Communication Technologies (ICT / Computer Science)	2.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yritys, jossa softa tukirooli	1.000000	0.05	Architect, Software or Solutions	Senior	Yes	7000.0	3500.0	12000.0	0.0	NaN	Yli markkinatason	Lomaraha (Holiday bonus), Company performance bonus	Work laptop, Snacks and beverages in office, Public transport subsidy (tax-free)	600.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Mobile phone with paid plan (Select only if 20 € puhelinetu on payslip)	macOS	TypeScript, Bash	NaN	NaN	Terraform, CI/CD (GitHub Actions, GitLab CI, Jenkins), AWS	PostgreSQL	NaN	NaN	7580c8f8369e3326	99500.0	Architect, Software or Solutions	8291.666667	8291.666667
678	2026-03-02 13:05:21.541	Laskuttaja	Ei	33	mies	Yes	Finnish	8.0	8.0	1.0	2	Bachelor’s degree – AMK (insinööri, tradenomi, etc.)	Information and Communication Technologies (ICT / Computer Science)	15.00	8.0	Everything	NaN	172000.0	0.0	0.0	Monthly billing	Open-ended	Myself	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	macOS	JavaScript, TypeScript, PHP	React, Node.js	SQL	Linux server, Docker	MySQL, Redis	NaN	NaN	2a79718b69271466	NaN		NaN	NaN
679	2026-03-02 18:08:12.657	Laskuttaja	Ei	38	mies	Yes	Finnish	14.0	5.0	4.0	1	Upper secondary – vocational (ammatillinen perustutkinto)	Information and Communication Technologies (ICT / Computer Science)	0.00	5.0	Full stack development and maintenance services	80.0	138000.0	37.5	6.0	Hourly billing	Over 24 months	Myself, Agencies	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	macOS	JavaScript, TypeScript, PHP	React, Next.js, Node.js	NaN	Linux server, Docker, CI/CD (GitHub Actions, GitLab CI, Jenkins)	PostgreSQL, MySQL	NaN	NaN	08bd722ced435fdd	NaN		NaN	NaN
680	2026-03-02 18:51:52.716	Palkansaaja	Ei	33	mies	Yes	Both	9.0	NaN	3.0	10000+	Master’s degree – university (FM, KTM, DI, etc.)	Engineering, Manufacturing, and Construction	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Tuotetalossa, jonka core-bisnes on softa	1.000000	0.50	Applied Scientist	Senior	Yes	10000.0	0.0	0.0	450000.0	NaN	En osaa sanoa	Lomaraha (Holiday bonus), Stock options / equity	Health insurance, Work laptop, Monitors for home office	0.0	NaN	Windows + WSL	Python, C++	NaN	PyTorch	Linux server, Docker, CI/CD (GitHub Actions, GitLab CI, Jenkins)	NaN	NaN	NaN	6f7540b517e6cc24	570000.0	Applied Scientist	47500.000000	47500.000000
681	2026-03-03 08:55:47.076	Palkansaaja	Ei	33	nainen	Yes	Both	1.0	1.0	2.0	501-1000	Upper secondary – general (lukio / high school equivalent)	NaN	40.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yritys, jossa softa tukirooli	0.986667	0.05	Developer, QA or Test	Junior / Entry-level	Yes	2660.0	0.0	0.0	0.0	NaN	Markkinataso	NaN	Work laptop, Snacks and beverages in office	300.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction)	macOS	NaN	NaN	NaN	NaN	NaN	NaN	NaN	a611c95eb3fd08bf	31920.0	Developer, QA or Test	2660.000000	2695.945946
682	2026-03-03 16:36:20.497	Palkansaaja	Ei	23	nainen	Yes	Both	6.0	5.0	4.0	501-1000	Upper secondary – general (lukio / high school equivalent)	NaN	4.00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Konsultointi	0.600000	0.20	Developer, Full-Stack	Mid-level	Yes	3410.0	1416.0	1360.0	854.0	NaN	Alle markkinatason	Lomaraha (Holiday bonus), Company performance bonus, Overtime extra pay (e.g. 1.5x or 2x pay rate), Stock options / equity, Profit sharing, Commission (sales or performance-based), Referral bonus (for successful hires), On-call compensation (standby pay)	Health insurance, Ryhmäeläkevakuutus (Additional employer pension contribution), Work laptop, Free office parking (during work hours), Training/Courses/Education budget, Other tools like high-end keyboard, mouse etc, Monitors for home office, Snacks and beverages in office	400.0	Partial Lunch benefit employer pays 25% (lounasvähennys/lunch deduction), Garage (outside work hours)	macOS	TypeScript, C#	React, Next.js, ASP.NET Core	NaN	Windows server, Docker, Microsoft Azure	SQL Server, MongoDB, Redis	NaN	NaN	57657a75edded78d	44550.0	Developer, Full-Stack	3712.500000	6187.500000

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