Overview

Dataset statistics

Number of variables	32
Number of observations	731
Missing cells	8273
Missing cells (%)	35.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	146.6 KiB
Average record size in memory	205.4 B

Variable types

DateTime	1
Categorical	10
Numeric	11
Text	9
Unsupported	1

Alerts

`Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` is highly overall correlated with `Mistä asiakkaat ovat?` and 4 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 3 other fields	High correlation
`Kk-tulot (laskennallinen, normalisoitu)` is highly overall correlated with `Kk-tulot (laskennallinen)` and 3 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 `Kk-tulot (laskennallinen)` and 4 other fields	High correlation
`Millaisessa yrityksessä työskentelet?` is highly overall correlated with `Palkansaaja vai laskuttaja` and 1 other fields	High correlation
`Mistä asiakkaat ovat?` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 3 other fields	High correlation
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` is highly overall correlated with `Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?` and 2 other fields	High correlation
`Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 5 other fields	High correlation
`Palkansaaja vai laskuttaja` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 13 other fields	High correlation
`Sukupuoli` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 4 other fields	High correlation
`Tuntilaskutus (ALV 0%, euroina)` is highly overall correlated with `Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?` and 3 other fields	High correlation
`Työaika` is highly overall correlated with `Palkansaaja vai laskuttaja`	High correlation
`Työkokemus alalta (vuosina)` is highly overall correlated with `Kuukausipalkka`	High correlation
`Vastauskieli` is highly overall correlated with `Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` and 1 other fields	High correlation
`Vuosilaskutus (ALV 0%, euroina)` is highly overall correlated with `Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?` and 3 other fields	High correlation
`Vuositulot` is highly overall correlated with `Kk-tulot (laskennallinen)` and 3 other fields	High correlation
`Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2023 jälkeen?` is highly imbalanced (88.4%)	Imbalance
`Sukupuoli` is highly imbalanced (65.8%)	Imbalance
`Kaupunki` is highly imbalanced (56.1%)	Imbalance
`Vastauskieli` is highly imbalanced (63.5%)	Imbalance
`Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2023 jälkeen?` has 8 (1.1%) missing values	Missing
`Sukupuoli` has 58 (7.9%) missing values	Missing
`Koulutustaustasi` has 44 (6.0%) missing values	Missing
`Tulojen muutos viime vuodesta (%)` has 35 (4.8%) missing values	Missing
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` has 638 (87.3%) missing values	Missing
`Palvelut` has 638 (87.3%) missing values	Missing
`Tuntilaskutus (ALV 0%, euroina)` has 644 (88.1%) missing values	Missing
`Vuosilaskutus (ALV 0%, euroina)` has 647 (88.5%) missing values	Missing
`Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` has 636 (87.0%) missing values	Missing
`Mistä asiakkaat ovat?` has 635 (86.9%) missing values	Missing
`Työpaikka` has 560 (76.6%) missing values	Missing
`Kaupunki` has 115 (15.7%) missing values	Missing
`Millaisessa yrityksessä työskentelet?` has 102 (14.0%) missing values	Missing
`Työaika` has 100 (13.7%) missing values	Missing
`Kuinka suuren osan ajasta teet lähityönä toimistolla?` has 102 (14.0%) missing values	Missing
`Rooli` has 115 (15.7%) missing values	Missing
`Kuukausipalkka` has 96 (13.1%) missing values	Missing
`Vuositulot` has 174 (23.8%) missing values	Missing
`Vapaa kuvaus kokonaiskompensaatiomallista` has 488 (66.8%) missing values	Missing
`Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen? (muut vastaukset)` has 688 (94.1%) missing values	Missing
`Vapaa sana` has 699 (95.6%) missing values	Missing
`Palaute` has 692 (94.7%) missing values	Missing
`Kk-tulot (laskennallinen)` has 174 (23.8%) missing values	Missing
`Kk-tulot (laskennallinen, normalisoitu)` has 176 (24.1%) missing values	Missing
`Timestamp` has unique values	Unique
`Vastaustunniste` has unique values	Unique
`Vapaa kuvaus kokonaiskompensaatiomallista` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Tulojen muutos viime vuodesta (%)` has 184 (25.2%) zeros	Zeros
`Kuinka suuren osan ajasta teet lähityönä toimistolla?` has 104 (14.2%) zeros	Zeros
`Vuositulot` has 15 (2.1%) zeros	Zeros
`Kk-tulot (laskennallinen)` has 15 (2.1%) zeros	Zeros
`Kk-tulot (laskennallinen, normalisoitu)` has 15 (2.1%) zeros	Zeros

Reproduction

Analysis started	2026-03-11 08:50:48.198457
Analysis finished	2026-03-11 08:51:06.530366
Duration	18.33 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

Timestamp
Date

Unique

Distinct	731
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	11.4 KiB

Minimum	2024-10-07 10:05:39.380000
Maximum	2024-10-27 22:09:17.916000
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	6.5 KiB

Palkansaaja	635
Laskuttaja	96

Length

Max length	11
Median length	11
Mean length	10.868673
Min length	10

Characters and Unicode

Total characters	7945
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	Palkansaaja
2nd row	Palkansaaja
3rd row	Palkansaaja
4th row	Palkansaaja
5th row	Palkansaaja

Common Values

Value	Count	Frequency (%)
Palkansaaja	635	86.9%
Laskuttaja	96	13.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
palkansaaja	635	86.9%
laskuttaja	96	13.1%

Most occurring characters

Value	Count	Frequency (%)
a	3463	43.6%
k	731	9.2%
s	731	9.2%
j	731	9.2%
P	635	8.0%
l	635	8.0%
n	635	8.0%
t	192	2.4%
L	96	1.2%
u	96	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7945	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3463	43.6%
k	731	9.2%
s	731	9.2%
j	731	9.2%
P	635	8.0%
l	635	8.0%
n	635	8.0%
t	192	2.4%
L	96	1.2%
u	96	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7945	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3463	43.6%
k	731	9.2%
s	731	9.2%
j	731	9.2%
P	635	8.0%
l	635	8.0%
n	635	8.0%
t	192	2.4%
L	96	1.2%
u	96	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7945	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3463	43.6%
k	731	9.2%
s	731	9.2%
j	731	9.2%
P	635	8.0%
l	635	8.0%
n	635	8.0%
t	192	2.4%
L	96	1.2%
u	96	1.2%

Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2023 jälkeen?
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	0.4%
Missing	8
Missing (%)	1.1%
Memory size	6.6 KiB

Ei	706
palkansaaja → laskuttaja	9
laskuttaja → palkansaaja	8

Length

Max length	24
Median length	2
Mean length	2.5172891
Min length	2

Characters and Unicode

Total characters	1820
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	706	96.6%
palkansaaja → laskuttaja	9	1.2%
laskuttaja → palkansaaja	8	1.1%
(Missing)	8	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ei	706	93.3%
palkansaaja	17	2.2%
→	17	2.2%
laskuttaja	17	2.2%

Most occurring characters

Value	Count	Frequency (%)
E	706	38.8%
i	706	38.8%
a	136	7.5%
l	34	1.9%
k	34	1.9%
s	34	1.9%
j	34	1.9%
	34	1.9%
t	34	1.9%
p	17	0.9%
Other values (3)	51	2.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1820	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	706	38.8%
i	706	38.8%
a	136	7.5%
l	34	1.9%
k	34	1.9%
s	34	1.9%
j	34	1.9%
	34	1.9%
t	34	1.9%
p	17	0.9%
Other values (3)	51	2.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1820	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	706	38.8%
i	706	38.8%
a	136	7.5%
l	34	1.9%
k	34	1.9%
s	34	1.9%
j	34	1.9%
	34	1.9%
t	34	1.9%
p	17	0.9%
Other values (3)	51	2.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1820	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	706	38.8%
i	706	38.8%
a	136	7.5%
l	34	1.9%
k	34	1.9%
s	34	1.9%
j	34	1.9%
	34	1.9%
t	34	1.9%
p	17	0.9%
Other values (3)	51	2.8%

Ikä
Categorical

Distinct	9
Distinct (%)	1.2%
Missing	2
Missing (%)	0.3%
Memory size	6.8 KiB

36-40	201
31-35	194
41-45	124
26-30	116
46-50	57
21-25	20
51-55	11
15-20	4
> 55v	2

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	3645
Distinct characters	11
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	46-50
2nd row	31-35
3rd row	36-40
4th row	41-45
5th row	41-45

Common Values

Value	Count	Frequency (%)
36-40	201	27.5%
31-35	194	26.5%
41-45	124	17.0%
26-30	116	15.9%
46-50	57	7.8%
21-25	20	2.7%
51-55	11	1.5%
15-20	4	0.5%
> 55v	2	0.3%
(Missing)	2	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
36-40	201	27.5%
31-35	194	26.5%
41-45	124	17.0%
26-30	116	15.9%
46-50	57	7.8%
21-25	20	2.7%
51-55	11	1.5%
15-20	4	0.5%
	2	0.3%
55v	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
-	727	19.9%
3	705	19.3%
4	506	13.9%
5	436	12.0%
0	378	10.4%
6	374	10.3%
1	353	9.7%
2	160	4.4%
>	2	0.1%
	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3645	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	727	19.9%
3	705	19.3%
4	506	13.9%
5	436	12.0%
0	378	10.4%
6	374	10.3%
1	353	9.7%
2	160	4.4%
>	2	0.1%
	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3645	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	727	19.9%
3	705	19.3%
4	506	13.9%
5	436	12.0%
0	378	10.4%
6	374	10.3%
1	353	9.7%
2	160	4.4%
>	2	0.1%
	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3645	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	727	19.9%
3	705	19.3%
4	506	13.9%
5	436	12.0%
0	378	10.4%
6	374	10.3%
1	353	9.7%
2	160	4.4%
>	2	0.1%
	2	0.1%

Sukupuoli
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.4%
Missing	58
Missing (%)	7.9%
Memory size	6.6 KiB

mies	594
nainen	77
muu	2

Length

Max length	6
Median length	4
Mean length	4.2258544
Min length	3

Characters and Unicode

Total characters	2844
Distinct characters	7
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	nainen
5th row	mies

Common Values

Value	Count	Frequency (%)
mies	594	81.3%
nainen	77	10.5%
muu	2	0.3%
(Missing)	58	7.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mies	594	88.3%
nainen	77	11.4%
muu	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
i	671	23.6%
e	671	23.6%
m	596	21.0%
s	594	20.9%
n	231	8.1%
a	77	2.7%
u	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2844	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	671	23.6%
e	671	23.6%
m	596	21.0%
s	594	20.9%
n	231	8.1%
a	77	2.7%
u	4	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2844	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	671	23.6%
e	671	23.6%
m	596	21.0%
s	594	20.9%
n	231	8.1%
a	77	2.7%
u	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2844	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	671	23.6%
e	671	23.6%
m	596	21.0%
s	594	20.9%
n	231	8.1%
a	77	2.7%
u	4	0.1%

Työkokemus alalta (vuosina)
Real number (ℝ)

High correlation

Distinct	34
Distinct (%)	4.7%
Missing	7
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.638122

Minimum	0
Maximum	35
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	6
median	10
Q3	16
95-th percentile	25
Maximum	35
Range	35
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.6581399
Coefficient of variation (CV)	0.57209747
Kurtosis	-0.19408068
Mean	11.638122
Median Absolute Deviation (MAD)	5
Skewness	0.6393077
Sum	8426
Variance	44.330827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
10	59	8.1%
15	55	7.5%
8	50	6.8%
6	46	6.3%
5	43	5.9%
12	41	5.6%
4	40	5.5%
7	37	5.1%
3	37	5.1%
20	34	4.7%
Other values (24)	282	38.6%

Value	Count	Frequency (%)
0	1	0.1%
1	4	0.5%
2	22	3.0%
3	37	5.1%
4	40	5.5%
5	43	5.9%
6	46	6.3%
7	37	5.1%
8	50	6.8%
9	30	4.1%

Value	Count	Frequency (%)
35	1	0.1%
32	1	0.1%
31	1	0.1%
30	3	0.4%
29	1	0.1%
28	3	0.4%
27	5	0.7%
26	5	0.7%
25	24	3.3%
24	7	1.0%

Koulutustaustasi
Text

Missing

Distinct	347
Distinct (%)	50.5%
Missing	44
Missing (%)	6.0%
Memory size	11.4 KiB

Length

Max length	106
Median length	67
Mean length	18.317322
Min length	2

Characters and Unicode

Total characters	12584
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	279 ?
Unique (%)	40.6%

Sample

1st row	tietotekniikan kandidaatti
2nd row	Ylioppilas
3rd row	DI
4th row	IT-tradenomi
5th row	FM (Tietojenkäsittelytiede)

Value	Count	Frequency (%)
amk	98	7.7%
di	76	5.9%
diplomi-insinööri	64	5.0%
insinööri	60	4.7%
maisteri	44	3.4%
tradenomi	38	3.0%
ylioppilas	37	2.9%
fm	35	2.7%
tietotekniikan	34	2.7%
kandidaatti	32	2.5%
Other values (264)	761	59.5%

Most occurring characters

Value	Count	Frequency (%)
i	1799	14.3%
t	1109	8.8%
e	1038	8.2%
n	976	7.8%
o	799	6.3%
a	693	5.5%
k	636	5.1%
	600	4.8%
s	487	3.9%
l	475	3.8%
Other values (52)	3972	31.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12584	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	1799	14.3%
t	1109	8.8%
e	1038	8.2%
n	976	7.8%
o	799	6.3%
a	693	5.5%
k	636	5.1%
	600	4.8%
s	487	3.9%
l	475	3.8%
Other values (52)	3972	31.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12584	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	1799	14.3%
t	1109	8.8%
e	1038	8.2%
n	976	7.8%
o	799	6.3%
a	693	5.5%
k	636	5.1%
	600	4.8%
s	487	3.9%
l	475	3.8%
Other values (52)	3972	31.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12584	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	1799	14.3%
t	1109	8.8%
e	1038	8.2%
n	976	7.8%
o	799	6.3%
a	693	5.5%
k	636	5.1%
	600	4.8%
s	487	3.9%
l	475	3.8%
Other values (52)	3972	31.6%

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

Missing Zeros

Distinct	101
Distinct (%)	14.5%
Missing	35
Missing (%)	4.8%
Infinite	0
Infinite (%)	0.0%
Mean	5.0661494

Minimum	-100
Maximum	100
Zeros	184
Zeros (%)	25.2%
Negative	34
Negative (%)	4.7%
Memory size	11.4 KiB

Quantile statistics

Minimum	-100
5-th percentile	0
Q1	0
median	3
Q3	7
95-th percentile	21.775
Maximum	100
Range	200
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	10.692049
Coefficient of variation (CV)	2.1104882
Kurtosis	26.321643
Mean	5.0661494
Median Absolute Deviation (MAD)	3
Skewness	0.8214737
Sum	3526.04
Variance	114.31991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	184	25.2%
3	63	8.6%
5	53	7.3%
2	42	5.7%
10	35	4.8%
1	32	4.4%
4	21	2.9%
8	21	2.9%
20	18	2.5%
7	17	2.3%
Other values (91)	210	28.7%
(Missing)	35	4.8%

Value	Count	Frequency (%)
-100	1	0.1%
-40	1	0.1%
-30	1	0.1%
-25	1	0.1%
-24	1	0.1%
-20	2	0.3%
-17	1	0.1%
-15	1	0.1%
-14.5	1	0.1%
-14	1	0.1%

Value	Count	Frequency (%)
100	1	0.1%
60	2	0.3%
53	1	0.1%
50	3	0.4%
47	1	0.1%
42	1	0.1%
40	1	0.1%
38	1	0.1%
37	1	0.1%
32	1	0.1%

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

High correlation Missing

Distinct	19
Distinct (%)	20.4%
Missing	638
Missing (%)	87.3%
Infinite	0
Infinite (%)	0.0%
Mean	4.0322581

Minimum	0
Maximum	22
Zeros	3
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	11
Maximum	22
Range	22
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.4576683
Coefficient of variation (CV)	0.85750173
Kurtosis	7.4521378
Mean	4.0322581
Median Absolute Deviation (MAD)	1
Skewness	2.2861027
Sum	375
Variance	11.95547
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	21	2.9%
2	21	2.9%
4	9	1.2%
6	7	1.0%
1	6	0.8%
5	4	0.5%
1.5	4	0.5%
10	4	0.5%
11	3	0.4%
0	3	0.4%
Other values (9)	11	1.5%
(Missing)	638	87.3%

Value	Count	Frequency (%)
0	3	0.4%
0.5	1	0.1%
1	6	0.8%
1.5	4	0.5%
2	21	2.9%
2.5	2	0.3%
3	21	2.9%
3.5	1	0.1%
4	9	1.2%
5	4	0.5%

Value	Count	Frequency (%)
22	1	0.1%
13	1	0.1%
12	1	0.1%
11	3	0.4%
10	4	0.5%
9	1	0.1%
8	1	0.1%
7	2	0.3%
6	7	1.0%
5	4	0.5%

Palvelut
Text

Missing

Distinct	73
Distinct (%)	78.5%
Missing	638
Missing (%)	87.3%
Memory size	11.4 KiB

Length

Max length	73
Median length	50
Mean length	25.688172
Min length	2

Characters and Unicode

Total characters	2389
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	69 ?
Unique (%)	74.2%

Sample

1st row	Full stack, tech lead, AWS, pilvi, devops
2nd row	Full stack ja DevOps.
3rd row	Ohjelmistokehitys, DevOps, Cloud
4th row	Arkkitehtuuri, full stack
5th row	Backend, devops, yleisempää käsienheiluttelua ja speksaushommaa

Value	Count	Frequency (%)
full	43	14.9%
stack	43	14.9%
devops	15	5.2%
backend	13	4.5%
mobiili	9	3.1%
softadevausta	7	2.4%
arkkitehtuuri	7	2.4%
frontend	7	2.4%
lead	6	2.1%
development	5	1.7%
Other values (87)	134	46.4%

Most occurring characters

Value	Count	Frequency (%)
	200	8.4%
a	194	8.1%
t	189	7.9%
e	182	7.6%
l	166	6.9%
s	135	5.7%
u	131	5.5%
k	129	5.4%
i	126	5.3%
o	92	3.9%
Other values (43)	845	35.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2389	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	200	8.4%
a	194	8.1%
t	189	7.9%
e	182	7.6%
l	166	6.9%
s	135	5.7%
u	131	5.5%
k	129	5.4%
i	126	5.3%
o	92	3.9%
Other values (43)	845	35.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2389	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	200	8.4%
a	194	8.1%
t	189	7.9%
e	182	7.6%
l	166	6.9%
s	135	5.7%
u	131	5.5%
k	129	5.4%
i	126	5.3%
o	92	3.9%
Other values (43)	845	35.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2389	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	200	8.4%
a	194	8.1%
t	189	7.9%
e	182	7.6%
l	166	6.9%
s	135	5.7%
u	131	5.5%
k	129	5.4%
i	126	5.3%
o	92	3.9%
Other values (43)	845	35.4%

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

High correlation Missing

Distinct	35
Distinct (%)	40.2%
Missing	644
Missing (%)	88.1%
Infinite	0
Infinite (%)	0.0%
Mean	93.313218

Minimum	35
Maximum	500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	35
5-th percentile	68.65
Q1	80
median	90
Q3	96
95-th percentile	123.5
Maximum	500
Range	465
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	47.342459
Coefficient of variation (CV)	0.50734998
Kurtosis	64.89106
Mean	93.313218
Median Absolute Deviation (MAD)	10
Skewness	7.5171413
Sum	8118.25
Variance	2241.3085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
90	11	1.5%
85	9	1.2%
95	9	1.2%
80	8	1.1%
100	7	1.0%
75	5	0.7%
70	4	0.5%
84	3	0.4%
83	3	0.4%
107	2	0.3%
Other values (25)	26	3.6%
(Missing)	644	88.1%

Value	Count	Frequency (%)
35	1	0.1%
40	1	0.1%
54	1	0.1%
65	1	0.1%
68.5	1	0.1%
69	1	0.1%
70	4	0.5%
72.25	1	0.1%
74	1	0.1%
75	5	0.7%

Value	Count	Frequency (%)
500	1	0.1%
150	1	0.1%
129	1	0.1%
126	1	0.1%
125	1	0.1%
120	2	0.3%
115	1	0.1%
110	1	0.1%
107	2	0.3%
101.5	1	0.1%

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

High correlation Missing

Distinct	48
Distinct (%)	57.1%
Missing	647
Missing (%)	88.5%
Infinite	0
Infinite (%)	0.0%
Mean	133576.8

Minimum	0
Maximum	325000
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	33000
Q1	110000
median	140000
Q3	160000
95-th percentile	197750
Maximum	325000
Range	325000
Interquartile range (IQR)	50000

Descriptive statistics

Standard deviation	49539.021
Coefficient of variation (CV)	0.37086546
Kurtosis	2.8204814
Mean	133576.8
Median Absolute Deviation (MAD)	20000
Skewness	0.11556414
Sum	11220451
Variance	2.4541146 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
150000	10	1.4%
160000	9	1.2%
140000	7	1.0%
110000	3	0.4%
130000	3	0.4%
155000	3	0.4%
135000	3	0.4%
200000	2	0.3%
50000	2	0.3%
100000	2	0.3%
Other values (38)	40	5.5%
(Missing)	647	88.5%

Value	Count	Frequency (%)
0	1	0.1%
24000	1	0.1%
25000	1	0.1%
28700	1	0.1%
30000	1	0.1%
50000	2	0.3%
60000	1	0.1%
65000	1	0.1%
70000	2	0.3%
86000	1	0.1%

Value	Count	Frequency (%)
325000	1	0.1%
250000	1	0.1%
240000	1	0.1%
200000	2	0.3%
185000	1	0.1%
180000	2	0.3%
176000	1	0.1%
170000	1	0.1%
167000	1	0.1%
165000	1	0.1%

Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?
Categorical

High correlation Missing

Distinct	8
Distinct (%)	8.4%
Missing	636
Missing (%)	87.0%
Memory size	11.4 KiB

Käytän välitysfirmoja	33
Itse	29
Itse, Käytän välitysfirmoja	26
Agencies	3
Itse, Alihankintana teknistä tietoturvaa, kun tutut tarvitsevat apukäsiä.	1
Itse, Aina sama asiakas.	1
Consulting companies that I know / know me	1
Company sales team.	1

Length

Max length	73
Median length	42
Mean length	17.821053
Min length	4

Characters and Unicode

Total characters	1693
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	4 ?
Unique (%)	4.2%

Sample

1st row	Itse, Käytän välitysfirmoja
2nd row	Käytän välitysfirmoja
3rd row	Itse, Käytän välitysfirmoja
4th row	Itse, Käytän välitysfirmoja
5th row	Itse, Käytän välitysfirmoja

Common Values

Value	Count	Frequency (%)
Käytän välitysfirmoja	33	4.5%
Itse	29	4.0%
Itse, Käytän välitysfirmoja	26	3.6%
Agencies	3	0.4%
Itse, Alihankintana teknistä tietoturvaa, kun tutut tarvitsevat apukäsiä.	1	0.1%
Itse, Aina sama asiakas.	1	0.1%
Consulting companies that I know / know me	1	0.1%
Company sales team.	1	0.1%
(Missing)	636	87.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
käytän	59	29.6%
välitysfirmoja	59	29.6%
itse	57	28.6%
agencies	3	1.5%
know	2	1.0%
consulting	1	0.5%
sales	1	0.5%
company	1	0.5%
me	1	0.5%
	1	0.5%
Other values (14)	14	7.0%

Most occurring characters

Value	Count	Frequency (%)
t	191	11.3%
ä	180	10.6%
i	131	7.7%
s	129	7.6%
y	119	7.0%
	104	6.1%
a	78	4.6%
n	74	4.4%
e	70	4.1%
o	65	3.8%
Other values (20)	552	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1693	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	191	11.3%
ä	180	10.6%
i	131	7.7%
s	129	7.6%
y	119	7.0%
	104	6.1%
a	78	4.6%
n	74	4.4%
e	70	4.1%
o	65	3.8%
Other values (20)	552	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1693	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	191	11.3%
ä	180	10.6%
i	131	7.7%
s	129	7.6%
y	119	7.0%
	104	6.1%
a	78	4.6%
n	74	4.4%
e	70	4.1%
o	65	3.8%
Other values (20)	552	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1693	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	191	11.3%
ä	180	10.6%
i	131	7.7%
s	129	7.6%
y	119	7.0%
	104	6.1%
a	78	4.6%
n	74	4.4%
e	70	4.1%
o	65	3.8%
Other values (20)	552	32.6%

Mistä asiakkaat ovat?
Categorical

High correlation Missing

Distinct	4
Distinct (%)	4.2%
Missing	635
Missing (%)	86.9%
Memory size	6.6 KiB

Suomesta	70
Suomesta, Ulkomailta	15
Ulkomailta	10
Finland, Abroad	1

Length

Max length	20
Median length	8
Mean length	10.15625
Min length	8

Characters and Unicode

Total characters	975
Distinct characters	20
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 (%)	1.0%

Sample

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

Common Values

Value	Count	Frequency (%)
Suomesta	70	9.6%
Suomesta, Ulkomailta	15	2.1%
Ulkomailta	10	1.4%
Finland, Abroad	1	0.1%
(Missing)	635	86.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
suomesta	85	75.9%
ulkomailta	25	22.3%
finland	1	0.9%
abroad	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
a	137	14.1%
o	111	11.4%
m	110	11.3%
t	110	11.3%
S	85	8.7%
e	85	8.7%
s	85	8.7%
u	85	8.7%
l	51	5.2%
i	26	2.7%
Other values (10)	90	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	975	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	137	14.1%
o	111	11.4%
m	110	11.3%
t	110	11.3%
S	85	8.7%
e	85	8.7%
s	85	8.7%
u	85	8.7%
l	51	5.2%
i	26	2.7%
Other values (10)	90	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	975	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	137	14.1%
o	111	11.4%
m	110	11.3%
t	110	11.3%
S	85	8.7%
e	85	8.7%
s	85	8.7%
u	85	8.7%
l	51	5.2%
i	26	2.7%
Other values (10)	90	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	975	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	137	14.1%
o	111	11.4%
m	110	11.3%
t	110	11.3%
S	85	8.7%
e	85	8.7%
s	85	8.7%
u	85	8.7%
l	51	5.2%
i	26	2.7%
Other values (10)	90	9.2%

Työpaikka
Text

Missing

Distinct	101
Distinct (%)	59.1%
Missing	560
Missing (%)	76.6%
Memory size	11.4 KiB

Length

Max length	41
Median length	23
Mean length	8.871345
Min length	2

Characters and Unicode

Total characters	1517
Distinct characters	65
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	78 ?
Unique (%)	45.6%

Sample

1st row	Pieni tuotetalo
2nd row	Compile
3rd row	Exove
4th row	Futurice
5th row	Knowit

Value	Count	Frequency (%)
relex	17	7.9%
reaktor	12	5.6%
solutions	12	5.6%
solita	11	5.1%
futurice	7	3.2%
vincit	6	2.8%
compile	5	2.3%
mavericks	5	2.3%
tietoevry	5	2.3%
sok	4	1.9%
Other values (101)	132	61.1%

Most occurring characters

Value	Count	Frequency (%)
i	137	9.0%
e	134	8.8%
o	131	8.6%
t	111	7.3%
a	109	7.2%
l	94	6.2%
n	81	5.3%
r	74	4.9%
s	49	3.2%
S	48	3.2%
Other values (55)	549	36.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1517	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	137	9.0%
e	134	8.8%
o	131	8.6%
t	111	7.3%
a	109	7.2%
l	94	6.2%
n	81	5.3%
r	74	4.9%
s	49	3.2%
S	48	3.2%
Other values (55)	549	36.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1517	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	137	9.0%
e	134	8.8%
o	131	8.6%
t	111	7.3%
a	109	7.2%
l	94	6.2%
n	81	5.3%
r	74	4.9%
s	49	3.2%
S	48	3.2%
Other values (55)	549	36.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1517	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	137	9.0%
e	134	8.8%
o	131	8.6%
t	111	7.3%
a	109	7.2%
l	94	6.2%
n	81	5.3%
r	74	4.9%
s	49	3.2%
S	48	3.2%
Other values (55)	549	36.2%

Kaupunki
Categorical

High correlation Imbalance Missing

Distinct	28
Distinct (%)	4.5%
Missing	115
Missing (%)	15.7%
Memory size	7.7 KiB

PK-seutu	351
Tampere	118
Turku	69
Oulu	23
Jyväskylä	16
Kuopio	5
Vaasa	4
Etätyöfirma	3
Seinäjoki	3
Ulkomaat	2
Pori	2
New York	2
Lahti	2
Joensuu	2
Naantali	1
Berlin	1
Lappeenranta	1
Kokkola	1
Salo	1
San Francisco	1
Other values (8)	8

Length

Max length	18
Median length	8
Mean length	7.3262987
Min length	4

Characters and Unicode

Total characters	4513
Distinct characters	43
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	14 ?
Unique (%)	2.3%

Sample

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

Common Values

Value	Count	Frequency (%)
PK-seutu	351	48.0%
Tampere	118	16.1%
Turku	69	9.4%
Oulu	23	3.1%
Jyväskylä	16	2.2%
Kuopio	5	0.7%
Vaasa	4	0.5%
Etätyöfirma	3	0.4%
Seinäjoki	3	0.4%
Ulkomaat	2	0.3%
Other values (18)	22	3.0%
(Missing)	115	15.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pk-seutu	351	56.4%
tampere	119	19.1%
turku	69	11.1%
oulu	23	3.7%
jyväskylä	16	2.6%
kuopio	5	0.8%
vaasa	4	0.6%
etätyöfirma	3	0.5%
seinäjoki	3	0.5%
york	2	0.3%
Other values (22)	27	4.3%

Most occurring characters

Value	Count	Frequency (%)
u	895	19.8%
e	603	13.4%
s	376	8.3%
t	364	8.1%
K	357	7.9%
P	353	7.8%
-	351	7.8%
r	201	4.5%
T	190	4.2%
a	156	3.5%
Other values (33)	667	14.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4513	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	895	19.8%
e	603	13.4%
s	376	8.3%
t	364	8.1%
K	357	7.9%
P	353	7.8%
-	351	7.8%
r	201	4.5%
T	190	4.2%
a	156	3.5%
Other values (33)	667	14.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4513	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	895	19.8%
e	603	13.4%
s	376	8.3%
t	364	8.1%
K	357	7.9%
P	353	7.8%
-	351	7.8%
r	201	4.5%
T	190	4.2%
a	156	3.5%
Other values (33)	667	14.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4513	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	895	19.8%
e	603	13.4%
s	376	8.3%
t	364	8.1%
K	357	7.9%
P	353	7.8%
-	351	7.8%
r	201	4.5%
T	190	4.2%
a	156	3.5%
Other values (33)	667	14.8%

Millaisessa yrityksessä työskentelet?
Categorical

High correlation Missing

Distinct	15
Distinct (%)	2.4%
Missing	102
Missing (%)	14.0%
Memory size	7.1 KiB

Konsulttitalossa	264
Tuotetalossa, jonka core-bisnes on softa	203
Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	91
Product company with software as their core business	29
Julkinen tai kolmas sektori	17
Consulting	15
A company where software is support role (for example banks or healthcare)	2
Digitoimisto	1
Konsulttitalo, jolla on omaa tuotebisnestä	1
Mainostoimisto	1
Oma softa, oma rauta ja niiden yhteispeli, ei toista ilman toista	1
Teollisuus	1
Tuotetalossa, jonka keskeinen tarjonta on ohjelmisto	1
Ylläpitotalossa	1
henkilöstövuokraus (aka konsulttitalo)	1

Length

Max length	74
Median length	65
Mean length	34.325914
Min length	10

Characters and Unicode

Total characters	21591
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	8 ?
Unique (%)	1.3%

Sample

1st row	Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)
2nd row	Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)
3rd row	Konsulttitalossa
4th row	Tuotetalossa, jonka core-bisnes on softa
5th row	Tuotetalossa, jonka core-bisnes on softa

Common Values

Value	Count	Frequency (%)
Konsulttitalossa	264	36.1%
Tuotetalossa, jonka core-bisnes on softa	203	27.8%
Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	91	12.4%
Product company with software as their core business	29	4.0%
Julkinen tai kolmas sektori	17	2.3%
Consulting	15	2.1%
A company where software is support role (for example banks or healthcare)	2	0.3%
Digitoimisto	1	0.1%
Konsulttitalo, jolla on omaa tuotebisnestä	1	0.1%
Mainostoimisto	1	0.1%
Other values (5)	5	0.7%
(Missing)	102	14.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
on	296	11.6%
softa	295	11.5%
konsulttitalossa	264	10.3%
jonka	204	8.0%
tuotetalossa	204	8.0%
core-bisnes	203	7.9%
esim	91	3.6%
yms	91	3.6%
terveysala	91	3.6%
pankit	91	3.6%
Other values (48)	727	28.4%

Most occurring characters

Value	Count	Frequency (%)
s	2849	13.2%
o	2406	11.1%
t	2237	10.4%
a	2044	9.5%
	1928	8.9%
n	1286	6.0%
e	1243	5.8%
i	1100	5.1%
l	893	4.1%
u	659	3.1%
Other values (31)	4946	22.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	2849	13.2%
o	2406	11.1%
t	2237	10.4%
a	2044	9.5%
	1928	8.9%
n	1286	6.0%
e	1243	5.8%
i	1100	5.1%
l	893	4.1%
u	659	3.1%
Other values (31)	4946	22.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	2849	13.2%
o	2406	11.1%
t	2237	10.4%
a	2044	9.5%
	1928	8.9%
n	1286	6.0%
e	1243	5.8%
i	1100	5.1%
l	893	4.1%
u	659	3.1%
Other values (31)	4946	22.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	2849	13.2%
o	2406	11.1%
t	2237	10.4%
a	2044	9.5%
	1928	8.9%
n	1286	6.0%
e	1243	5.8%
i	1100	5.1%
l	893	4.1%
u	659	3.1%
Other values (31)	4946	22.9%

Työaika
Real number (ℝ)

High correlation Missing

Distinct	19
Distinct (%)	3.0%
Missing	100
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.97979391

Minimum	0
Maximum	1.15
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.8
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	1.15
Range	1.15
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.093186756
Coefficient of variation (CV)	0.095108527
Kurtosis	41.044076
Mean	0.97979391
Median Absolute Deviation (MAD)	0
Skewness	-5.8586039
Sum	618.24996
Variance	0.0086837715
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	579	79.2%
0.8	20	2.7%
0.4	5	0.7%
0.9	4	0.5%
0.97	3	0.4%
0.6	3	0.4%
0.5	2	0.3%
0.7	2	0.3%
1.05	2	0.3%
1.07	2	0.3%
Other values (9)	9	1.2%
(Missing)	100	13.7%

Value	Count	Frequency (%)
0	1	0.1%
0.2	1	0.1%
0.4	5	0.7%
0.5	2	0.3%
0.6	3	0.4%
0.67	1	0.1%
0.7	2	0.3%
0.75	1	0.1%
0.7733	1	0.1%
0.8	20	2.7%

Value	Count	Frequency (%)
1.15	1	0.1%
1.07	2	0.3%
1.05	2	0.3%
1	579	79.2%
0.97	3	0.4%
0.96666	1	0.1%
0.93	1	0.1%
0.9	4	0.5%
0.86	1	0.1%
0.8	20	2.7%

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

High correlation Missing Zeros

Distinct	28
Distinct (%)	4.5%
Missing	102
Missing (%)	14.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3248903

Minimum	0
Maximum	1
Zeros	104
Zeros (%)	14.2%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.05
median	0.2
Q3	0.5
95-th percentile	0.974
Maximum	1
Range	1
Interquartile range (IQR)	0.45

Descriptive statistics

Standard deviation	0.32921893
Coefficient of variation (CV)	1.0133233
Kurtosis	-0.76259956
Mean	0.3248903
Median Absolute Deviation (MAD)	0.2
Skewness	0.7905172
Sum	204.356
Variance	0.1083851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	104	14.2%
0.2	81	11.1%
0.05	65	8.9%
0.1	58	7.9%
0.4	44	6.0%
0.5	40	5.5%
0.8	32	4.4%
0.9	31	4.2%
1	27	3.7%
0.6	26	3.6%
Other values (18)	121	16.6%
(Missing)	102	14.0%

Value	Count	Frequency (%)
0	104	14.2%
0.001	1	0.1%
0.01	23	3.1%
0.02	7	1.0%
0.025	1	0.1%
0.03	4	0.5%
0.05	65	8.9%
0.1	58	7.9%
0.15	12	1.6%
0.2	81	11.1%

Value	Count	Frequency (%)
1	27	3.7%
0.99	5	0.7%
0.95	13	1.8%
0.9	31	4.2%
0.85	2	0.3%
0.8	32	4.4%
0.75	8	1.1%
0.7	10	1.4%
0.67	1	0.1%
0.6	26	3.6%

Rooli
Text

Missing

Distinct	330
Distinct (%)	53.6%
Missing	115
Missing (%)	15.7%
Memory size	11.4 KiB

Length

Max length	88
Median length	61
Mean length	21.188312
Min length	3

Characters and Unicode

Total characters	13052
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	256 ?
Unique (%)	41.6%

Sample

1st row	Site Reliability Engineer
2nd row	Fullstack developer
3rd row	Lead
4th row	Software developer, fullstack Clojure/script
5th row	Technical project manager

Value	Count	Frequency (%)
developer	310	19.2%
software	188	11.6%
senior	138	8.5%
engineer	114	7.1%
stack	60	3.7%
full	58	3.6%
fullstack	52	3.2%
lead	50	3.1%
full-stack	37	2.3%
architect	36	2.2%
Other values (195)	572	35.4%

Most occurring characters

Value	Count	Frequency (%)
e	2019	15.5%
	1016	7.8%
r	995	7.6%
o	859	6.6%
l	782	6.0%
t	756	5.8%
a	739	5.7%
n	670	5.1%
i	557	4.3%
d	398	3.0%
Other values (52)	4261	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13052	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2019	15.5%
	1016	7.8%
r	995	7.6%
o	859	6.6%
l	782	6.0%
t	756	5.8%
a	739	5.7%
n	670	5.1%
i	557	4.3%
d	398	3.0%
Other values (52)	4261	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13052	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2019	15.5%
	1016	7.8%
r	995	7.6%
o	859	6.6%
l	782	6.0%
t	756	5.8%
a	739	5.7%
n	670	5.1%
i	557	4.3%
d	398	3.0%
Other values (52)	4261	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13052	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2019	15.5%
	1016	7.8%
r	995	7.6%
o	859	6.6%
l	782	6.0%
t	756	5.8%
a	739	5.7%
n	670	5.1%
i	557	4.3%
d	398	3.0%
Other values (52)	4261	32.6%

Kuukausipalkka
Real number (ℝ)

High correlation Missing

Distinct	253
Distinct (%)	39.8%
Missing	96
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	5682.4376

Minimum	0
Maximum	15000
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	3177.3
Q1	4612.5
median	5500
Q3	6500
95-th percentile	8630
Maximum	15000
Range	15000
Interquartile range (IQR)	1887.5

Descriptive statistics

Standard deviation	1777.1336
Coefficient of variation (CV)	0.31274141
Kurtosis	3.8129866
Mean	5682.4376
Median Absolute Deviation (MAD)	1000
Skewness	1.0059706
Sum	3608347.9
Variance	3158203.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5500	27	3.7%
6000	26	3.6%
6500	23	3.1%
5000	18	2.5%
4500	17	2.3%
5700	15	2.1%
5800	15	2.1%
8000	12	1.6%
4000	12	1.6%
6300	12	1.6%
Other values (243)	458	62.7%
(Missing)	96	13.1%

Value	Count	Frequency (%)
0	1	0.1%
560	1	0.1%
1200	1	0.1%
1360	1	0.1%
1432	1	0.1%
1557	1	0.1%
1560	1	0.1%
1700	1	0.1%
1890	1	0.1%
1936	1	0.1%

Value	Count	Frequency (%)
15000	1	0.1%
14200	1	0.1%
13333	1	0.1%
13300	1	0.1%
12500	1	0.1%
12000	3	0.4%
11500	2	0.3%
11166	1	0.1%
10722	1	0.1%
10250	1	0.1%

Vuositulot
Real number (ℝ)

High correlation Missing Zeros

Distinct	244
Distinct (%)	43.8%
Missing	174
Missing (%)	23.8%
Infinite	0
Infinite (%)	0.0%
Mean	72447.031

Minimum	0
Maximum	550000
Zeros	15
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4160
Q1	55300
median	70000
Q3	84000
95-th percentile	121000
Maximum	550000
Range	550000
Interquartile range (IQR)	28700

Descriptive statistics

Standard deviation	41307.478
Coefficient of variation (CV)	0.57017489
Kurtosis	46.494541
Mean	72447.031
Median Absolute Deviation (MAD)	14500
Skewness	4.6135736
Sum	40352996
Variance	1.7063077 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75000	21	2.9%
80000	17	2.3%
100000	16	2.2%
0	15	2.1%
60000	14	1.9%
78000	14	1.9%
70000	13	1.8%
72000	13	1.8%
90000	12	1.6%
55000	10	1.4%
Other values (234)	412	56.4%
(Missing)	174	23.8%

Value	Count	Frequency (%)
0	15	2.1%
70	1	0.1%
72	1	0.1%
150	1	0.1%
200	2	0.3%
472	1	0.1%
500	1	0.1%
750	1	0.1%
1000	1	0.1%
2000	1	0.1%

Value	Count	Frequency (%)
550000	1	0.1%
462000	1	0.1%
260000	1	0.1%
220000	1	0.1%
200000	2	0.3%
180000	1	0.1%
170000	2	0.3%
167000	1	0.1%
166000	1	0.1%
160000	2	0.3%

Vapaa kuvaus kokonaiskompensaatiomallista
Unsupported

Missing Rejected Unsupported

Missing	488
Missing (%)	66.8%
Memory size	11.4 KiB

Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?
Categorical

High correlation

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	6.6 KiB

Kyllä	413
Ei	164
Muu	154

Length

Max length	5
Median length	5
Mean length	3.9056088
Min length	2

Characters and Unicode

Total characters	2855
Distinct characters	8
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	Kyllä
2nd row	Kyllä
3rd row	Kyllä
4th row	Kyllä
5th row	Kyllä

Common Values

Value	Count	Frequency (%)
Kyllä	413	56.5%
Ei	164	22.4%
Muu	154	21.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kyllä	413	56.5%
ei	164	22.4%
muu	154	21.1%

Most occurring characters

Value	Count	Frequency (%)
l	826	28.9%
K	413	14.5%
y	413	14.5%
ä	413	14.5%
u	308	10.8%
E	164	5.7%
i	164	5.7%
M	154	5.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2855	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	826	28.9%
K	413	14.5%
y	413	14.5%
ä	413	14.5%
u	308	10.8%
E	164	5.7%
i	164	5.7%
M	154	5.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2855	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	826	28.9%
K	413	14.5%
y	413	14.5%
ä	413	14.5%
u	308	10.8%
E	164	5.7%
i	164	5.7%
M	154	5.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2855	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	826	28.9%
K	413	14.5%
y	413	14.5%
ä	413	14.5%
u	308	10.8%
E	164	5.7%
i	164	5.7%
M	154	5.4%

Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen? (muut vastaukset)
Text

Missing

Distinct	42
Distinct (%)	97.7%
Missing	688
Missing (%)	94.1%
Memory size	11.4 KiB

Length

Max length	119
Median length	57
Mean length	50.069767
Min length	3

Characters and Unicode

Total characters	2153
Distinct characters	56
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	41 ?
Unique (%)	95.3%

Sample

1st row	Siinä ja siinä
2nd row	Varmaan saman kuin muut sisäisesti mutta vaihtamalla voisi parantua
3rd row	Perhe tulee toimeen, en tiedä mitä muut saavat enkä ole erityisen kiinnostunut
4th row	Varmaan sais muualla enemmän palakkaa, mutta stonksit ihan jees.
5th row	Samanlaisiin konsulttitaloihin verrattuna about sama, tuotetalossa saisin enemmän

Value	Count	Frequency (%)
ei	10	3.4%
mutta	9	3.1%
en	7	2.4%
on	7	2.4%
ja	6	2.1%
verrattuna	6	2.1%
kuin	5	1.7%
enemmän	4	1.4%
sanoa	4	1.4%
kyllä	4	1.4%
Other values (196)	229	78.7%

Most occurring characters

Value	Count	Frequency (%)
	249	11.6%
a	244	11.3%
i	204	9.5%
t	157	7.3%
n	150	7.0%
e	137	6.4%
s	134	6.2%
o	109	5.1%
l	102	4.7%
k	90	4.2%
Other values (46)	577	26.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2153	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	249	11.6%
a	244	11.3%
i	204	9.5%
t	157	7.3%
n	150	7.0%
e	137	6.4%
s	134	6.2%
o	109	5.1%
l	102	4.7%
k	90	4.2%
Other values (46)	577	26.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2153	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	249	11.6%
a	244	11.3%
i	204	9.5%
t	157	7.3%
n	150	7.0%
e	137	6.4%
s	134	6.2%
o	109	5.1%
l	102	4.7%
k	90	4.2%
Other values (46)	577	26.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2153	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	249	11.6%
a	244	11.3%
i	204	9.5%
t	157	7.3%
n	150	7.0%
e	137	6.4%
s	134	6.2%
o	109	5.1%
l	102	4.7%
k	90	4.2%
Other values (46)	577	26.8%

Vapaa sana
Text

Missing

Distinct	32
Distinct (%)	100.0%
Missing	699
Missing (%)	95.6%
Memory size	11.4 KiB

Length

Max length	282
Median length	87.5
Mean length	90.75
Min length	1

Characters and Unicode

Total characters	2904
Distinct characters	64
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 (%)	100.0%

Sample

1st row	kiitos
2nd row	Penkki pelottaa
3rd row	Minulla on luultavasti tällä hetkellä poikkeuksellisen hyvä job fit, eikä esim. Suomesta luultavasti löydy juuri ketään minua paremmin tähän työnkuvaan sopivaa henkilöä.
4th row	Riippuu paljon serttei suorittaa, nii saa enempi bonareit
5th row	Nykyinen työpaikka on kolmas oman alan työpaikka. Nykyisessä paikassa olen ollut viimeiset 9 vuotta. Tämä on saattanut vaikuttaa palkka kehitykseen negatiivisesti.

Value	Count	Frequency (%)
ja	9	2.3%
on	9	2.3%
ei	5	1.3%
paljon	3	0.8%
en	3	0.8%
	3	0.8%
was	3	0.8%
noin	3	0.8%
vuosi	3	0.8%
mitä	3	0.8%
Other values (307)	343	88.6%

Most occurring characters

Value	Count	Frequency (%)
	356	12.3%
a	285	9.8%
i	254	8.7%
t	213	7.3%
n	192	6.6%
e	185	6.4%
s	174	6.0%
l	154	5.3%
k	143	4.9%
o	143	4.9%
Other values (54)	805	27.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2904	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	356	12.3%
a	285	9.8%
i	254	8.7%
t	213	7.3%
n	192	6.6%
e	185	6.4%
s	174	6.0%
l	154	5.3%
k	143	4.9%
o	143	4.9%
Other values (54)	805	27.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2904	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	356	12.3%
a	285	9.8%
i	254	8.7%
t	213	7.3%
n	192	6.6%
e	185	6.4%
s	174	6.0%
l	154	5.3%
k	143	4.9%
o	143	4.9%
Other values (54)	805	27.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2904	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	356	12.3%
a	285	9.8%
i	254	8.7%
t	213	7.3%
n	192	6.6%
e	185	6.4%
s	174	6.0%
l	154	5.3%
k	143	4.9%
o	143	4.9%
Other values (54)	805	27.7%

Palaute
Text

Missing

Distinct	39
Distinct (%)	100.0%
Missing	692
Missing (%)	94.7%
Memory size	11.4 KiB

Length

Max length	449
Median length	89
Mean length	95.410256
Min length	1

Characters and Unicode

Total characters	3721
Distinct characters	66
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 (%)	100.0%

Sample

1st row	Hyvä kysely, mukava pingi
2nd row	Olisi mukavaa lukea millaisia etuuksia rahan lisäksi työntekijät nauttivat
3rd row	Harmaa seuraava-nappi näyttää disabloidulta 😁
4th row	Olisin laittanut kuukausipalkka kysymyksen ennen kysymystä palkan muutoksesta, se olisi tuntunut loogisemmalta.
5th row	Hyvä setti kyssäreitä!

Value	Count	Frequency (%)
voisi	10	2.2%
ja	7	1.5%
olisi	6	1.3%
hyvä	5	1.1%
on	5	1.1%
	5	1.1%
the	4	0.9%
be	4	0.9%
ei	4	0.9%
esim	4	0.9%
Other values (357)	409	88.3%

Most occurring characters

Value	Count	Frequency (%)
	428	11.5%
a	380	10.2%
i	323	8.7%
t	314	8.4%
s	258	6.9%
e	233	6.3%
n	223	6.0%
o	203	5.5%
k	172	4.6%
l	164	4.4%
Other values (56)	1023	27.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3721	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	428	11.5%
a	380	10.2%
i	323	8.7%
t	314	8.4%
s	258	6.9%
e	233	6.3%
n	223	6.0%
o	203	5.5%
k	172	4.6%
l	164	4.4%
Other values (56)	1023	27.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3721	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	428	11.5%
a	380	10.2%
i	323	8.7%
t	314	8.4%
s	258	6.9%
e	233	6.3%
n	223	6.0%
o	203	5.5%
k	172	4.6%
l	164	4.4%
Other values (56)	1023	27.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3721	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	428	11.5%
a	380	10.2%
i	323	8.7%
t	314	8.4%
s	258	6.9%
e	233	6.3%
n	223	6.0%
o	203	5.5%
k	172	4.6%
l	164	4.4%
Other values (56)	1023	27.5%

Vastauskieli
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.5 KiB

fi	680
en	51

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1462
Distinct characters	4
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	fi
2nd row	fi
3rd row	fi
4th row	fi
5th row	fi

Common Values

Value	Count	Frequency (%)
fi	680	93.0%
en	51	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fi	680	93.0%
en	51	7.0%

Most occurring characters

Value	Count	Frequency (%)
f	680	46.5%
i	680	46.5%
e	51	3.5%
n	51	3.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1462	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
f	680	46.5%
i	680	46.5%
e	51	3.5%
n	51	3.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1462	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
f	680	46.5%
i	680	46.5%
e	51	3.5%
n	51	3.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1462	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
f	680	46.5%
i	680	46.5%
e	51	3.5%
n	51	3.5%

Vastaustunniste
Text

Unique

Distinct	731
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	11.4 KiB

Length

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

Characters and Unicode

Total characters	11696
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	731 ?
Unique (%)	100.0%

Sample

1st row	0cc7d7ce7d418c98
2nd row	5930ded0f016a9ef
3rd row	6a83c419393c1121
4th row	2d2b3fbfcf27aa0b
5th row	6b6dc4394a98cd4d

Value	Count	Frequency (%)
0cc7d7ce7d418c98	1	0.1%
02f606aceff634e0	1	0.1%
999ea6df4bdaab5e	1	0.1%
6a83c419393c1121	1	0.1%
2d2b3fbfcf27aa0b	1	0.1%
6b6dc4394a98cd4d	1	0.1%
1a074cdc4fa2e773	1	0.1%
1296a91aa718e707	1	0.1%
e9678f135fec1969	1	0.1%
cbfd353e42764f94	1	0.1%
Other values (721)	721	98.6%

Most occurring characters

Value	Count	Frequency (%)
7	761	6.5%
a	758	6.5%
8	756	6.5%
d	751	6.4%
2	744	6.4%
c	742	6.3%
6	734	6.3%
e	729	6.2%
4	726	6.2%
0	724	6.2%
Other values (6)	4271	36.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11696	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
7	761	6.5%
a	758	6.5%
8	756	6.5%
d	751	6.4%
2	744	6.4%
c	742	6.3%
6	734	6.3%
e	729	6.2%
4	726	6.2%
0	724	6.2%
Other values (6)	4271	36.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11696	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
7	761	6.5%
a	758	6.5%
8	756	6.5%
d	751	6.4%
2	744	6.4%
c	742	6.3%
6	734	6.3%
e	729	6.2%
4	726	6.2%
0	724	6.2%
Other values (6)	4271	36.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11696	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
7	761	6.5%
a	758	6.5%
8	756	6.5%
d	751	6.4%
2	744	6.4%
c	742	6.3%
6	734	6.3%
e	729	6.2%
4	726	6.2%
0	724	6.2%
Other values (6)	4271	36.5%

Rooli (normalisoitu)
Text

Distinct	305
Distinct (%)	41.7%
Missing	0
Missing (%)	0.0%
Memory size	11.4 KiB

Length

Max length	88
Median length	70
Mean length	17.560876
Min length	0

Characters and Unicode

Total characters	12837
Distinct characters	63
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	244 ?
Unique (%)	33.4%

Sample

1st row
2nd row	Site Reliability Engineer
3rd row	*Full-stack Developer
4th row	Lead
5th row	Software developer, fullstack Clojure/script

Value	Count	Frequency (%)
developer	316	20.5%
software	147	9.6%
senior	138	9.0%
engineer	113	7.3%
full-stack	98	6.4%
lead	50	3.3%
architect	36	2.3%
frontend	30	2.0%
fullstack	26	1.7%
stack	25	1.6%
Other values (195)	559	36.3%

Most occurring characters

Value	Count	Frequency (%)
e	1986	15.5%
r	959	7.5%
	931	7.3%
o	823	6.4%
l	787	6.1%
t	712	5.5%
a	698	5.4%
n	668	5.2%
i	554	4.3%
p	385	3.0%
Other values (53)	4334	33.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12837	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1986	15.5%
r	959	7.5%
	931	7.3%
o	823	6.4%
l	787	6.1%
t	712	5.5%
a	698	5.4%
n	668	5.2%
i	554	4.3%
p	385	3.0%
Other values (53)	4334	33.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12837	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1986	15.5%
r	959	7.5%
	931	7.3%
o	823	6.4%
l	787	6.1%
t	712	5.5%
a	698	5.4%
n	668	5.2%
i	554	4.3%
p	385	3.0%
Other values (53)	4334	33.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12837	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1986	15.5%
r	959	7.5%
	931	7.3%
o	823	6.4%
l	787	6.1%
t	712	5.5%
a	698	5.4%
n	668	5.2%
i	554	4.3%
p	385	3.0%
Other values (53)	4334	33.8%

Kk-tulot (laskennallinen)
Real number (ℝ)

High correlation Missing Zeros

Distinct	244
Distinct (%)	43.8%
Missing	174
Missing (%)	23.8%
Infinite	0
Infinite (%)	0.0%
Mean	6037.2525

Minimum	0
Maximum	45833.333
Zeros	15
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	346.66667
Q1	4608.3333
median	5833.3333
Q3	7000
95-th percentile	10083.333
Maximum	45833.333
Range	45833.333
Interquartile range (IQR)	2391.6667

Descriptive statistics

Standard deviation	3442.2898
Coefficient of variation (CV)	0.57017489
Kurtosis	46.494541
Mean	6037.2525
Median Absolute Deviation (MAD)	1208.3333
Skewness	4.6135736
Sum	3362749.7
Variance	11849359
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6250	21	2.9%
6666.666667	17	2.3%
8333.333333	16	2.2%
0	15	2.1%
5000	14	1.9%
6500	14	1.9%
5833.333333	13	1.8%
6000	13	1.8%
7500	12	1.6%
4583.333333	10	1.4%
Other values (234)	412	56.4%
(Missing)	174	23.8%

Value	Count	Frequency (%)
0	15	2.1%
5.833333333	1	0.1%
6	1	0.1%
12.5	1	0.1%
16.66666667	2	0.3%
39.33333333	1	0.1%
41.66666667	1	0.1%
62.5	1	0.1%
83.33333333	1	0.1%
166.6666667	1	0.1%

Value	Count	Frequency (%)
45833.33333	1	0.1%
38500	1	0.1%
21666.66667	1	0.1%
18333.33333	1	0.1%
16666.66667	2	0.3%
15000	1	0.1%
14166.66667	2	0.3%
13916.66667	1	0.1%
13833.33333	1	0.1%
13333.33333	2	0.3%

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

High correlation Missing Zeros

Distinct	251
Distinct (%)	45.2%
Missing	176
Missing (%)	24.1%
Infinite	0
Infinite (%)	0.0%
Mean	6025.8381

Minimum	0
Maximum	38500
Zeros	15
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	11.4 KiB

Quantile statistics

Minimum	0
5-th percentile	345
Q1	4666.6667
median	5900
Q3	7000
95-th percentile	9766.6667
Maximum	38500
Range	38500
Interquartile range (IQR)	2333.3333

Descriptive statistics

Standard deviation	2985.3729
Coefficient of variation (CV)	0.49542866
Kurtosis	27.517303
Mean	6025.8381
Median Absolute Deviation (MAD)	1183.3333
Skewness	2.9321302
Sum	3344340.2
Variance	8912451.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6250	22	3.0%
6666.666667	17	2.3%
0	15	2.1%
5833.333333	15	2.1%
8333.333333	15	2.1%
6500	14	1.9%
6000	13	1.8%
7500	12	1.6%
5000	12	1.6%
5416.666667	10	1.4%
Other values (241)	410	56.1%
(Missing)	176	24.1%

Value	Count	Frequency (%)
0	15	2.1%
5.833333333	1	0.1%
6	1	0.1%
12.5	1	0.1%
16.66666667	2	0.3%
41.66666667	1	0.1%
62.5	1	0.1%
65.55555556	1	0.1%
83.33333333	1	0.1%
185.1851852	1	0.1%

Value	Count	Frequency (%)
38500	1	0.1%
21666.66667	1	0.1%
18333.33333	1	0.1%
17777.77778	1	0.1%
16666.66667	2	0.3%
15000	1	0.1%
14166.66667	2	0.3%
13916.66667	1	0.1%
13333.33333	1	0.1%
13083.33333	1	0.1%

Interactions

Correlations

	Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	Ikä	Kaupunki	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)	Kuinka suuren osan ajasta teet lähityönä toimistolla?	Kuukausipalkka	Millaisessa yrityksessä työskentelet?	Mistä asiakkaat ovat?	Montako vuotta olet tehnyt laskuttavaa työtä alalla?	Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2023 jälkeen?	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	Palkansaaja vai laskuttaja	Sukupuoli	Tulojen muutos viime vuodesta (%)	Tuntilaskutus (ALV 0%, euroina)	Työaika	Työkokemus alalta (vuosina)	Vastauskieli	Vuosilaskutus (ALV 0%, euroina)	Vuositulot
Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	1.000	0.106	0.000	0.000	0.000	0.000	0.000	0.000	0.599	0.293	0.000	1.000	1.000	1.000	0.000	0.000	0.000	0.256	0.967	0.240	0.000
Ikä	0.106	1.000	0.070	0.110	0.104	0.000	0.202	0.000	0.106	0.102	0.000	0.103	0.050	0.053	0.138	0.148	0.160	0.443	0.064	0.000	0.110
Kaupunki	0.000	0.070	1.000	0.154	0.171	0.061	0.431	0.232	0.000	0.000	0.000	0.109	1.000	0.000	0.000	0.000	0.121	0.060	0.000	0.000	0.154
Kk-tulot (laskennallinen)	0.000	0.110	0.154	1.000	0.989	-0.031	0.870	0.000	0.000	NaN	0.069	0.257	1.000	0.063	-0.060	NaN	0.259	0.488	0.000	NaN	1.000
Kk-tulot (laskennallinen, normalisoitu)	0.000	0.104	0.171	0.989	1.000	-0.032	0.857	0.000	0.000	NaN	0.155	0.219	1.000	0.109	-0.059	NaN	0.161	0.499	0.000	NaN	0.989
Kuinka suuren osan ajasta teet lähityönä toimistolla?	0.000	0.000	0.061	-0.031	-0.032	1.000	-0.033	0.110	0.000	NaN	0.090	0.000	1.000	0.086	0.019	NaN	-0.028	0.040	0.000	NaN	-0.031
Kuukausipalkka	0.000	0.202	0.431	0.870	0.857	-0.033	1.000	0.000	0.000	NaN	0.000	0.305	1.000	0.121	-0.083	NaN	0.289	0.583	0.000	NaN	0.870
Millaisessa yrityksessä työskentelet?	0.000	0.000	0.232	0.000	0.000	0.110	0.000	1.000	0.000	0.000	0.000	0.086	1.000	0.000	0.050	0.000	0.106	0.035	0.990	0.000	0.000
Mistä asiakkaat ovat?	0.599	0.106	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.352	0.330	1.000	1.000	1.000	0.000	0.271	0.000	0.391	0.418	0.191	0.000
Montako vuotta olet tehnyt laskuttavaa työtä alalla?	0.293	0.102	0.000	NaN	NaN	NaN	NaN	0.000	0.352	1.000	0.235	1.000	1.000	1.000	-0.038	0.066	NaN	0.156	0.353	0.253	NaN
Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2023 jälkeen?	0.000	0.000	0.000	0.069	0.155	0.090	0.000	0.000	0.330	0.235	1.000	0.173	0.288	0.000	0.335	0.383	0.000	0.025	0.065	0.000	0.069
Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	1.000	0.103	0.109	0.257	0.219	0.000	0.305	0.086	1.000	1.000	0.173	1.000	0.751	0.080	0.195	1.000	0.084	0.180	0.017	1.000	0.257
Palkansaaja vai laskuttaja	1.000	0.050	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.288	0.751	1.000	0.131	0.236	1.000	1.000	0.206	0.000	1.000	1.000
Sukupuoli	1.000	0.053	0.000	0.063	0.109	0.086	0.121	0.000	1.000	1.000	0.000	0.080	0.131	1.000	0.000	1.000	0.216	0.161	0.109	1.000	0.063
Tulojen muutos viime vuodesta (%)	0.000	0.138	0.000	-0.060	-0.059	0.019	-0.083	0.050	0.000	-0.038	0.335	0.195	0.236	0.000	1.000	-0.062	-0.051	-0.268	0.022	0.020	-0.060
Tuntilaskutus (ALV 0%, euroina)	0.000	0.148	0.000	NaN	NaN	NaN	NaN	0.000	0.271	0.066	0.383	1.000	1.000	1.000	-0.062	1.000	NaN	0.214	0.000	0.521	NaN
Työaika	0.000	0.160	0.121	0.259	0.161	-0.028	0.289	0.106	0.000	NaN	0.000	0.084	1.000	0.216	-0.051	NaN	1.000	0.117	0.000	NaN	0.259
Työkokemus alalta (vuosina)	0.256	0.443	0.060	0.488	0.499	0.040	0.583	0.035	0.391	0.156	0.025	0.180	0.206	0.161	-0.268	0.214	0.117	1.000	0.056	0.170	0.488
Vastauskieli	0.967	0.064	0.000	0.000	0.000	0.000	0.000	0.990	0.418	0.353	0.065	0.017	0.000	0.109	0.022	0.000	0.000	0.056	1.000	0.110	0.000
Vuosilaskutus (ALV 0%, euroina)	0.240	0.000	0.000	NaN	NaN	NaN	NaN	0.000	0.191	0.253	0.000	1.000	1.000	1.000	0.020	0.521	NaN	0.170	0.110	1.000	NaN
Vuositulot	0.000	0.110	0.154	1.000	0.989	-0.031	0.870	0.000	0.000	NaN	0.069	0.257	1.000	0.063	-0.060	NaN	0.259	0.488	0.000	NaN	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	Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2023 jälkeen?	Ikä	Sukupuoli	Työkokemus alalta (vuosina)	Koulutustaustasi	Tulojen muutos viime vuodesta (%)	Montako vuotta olet tehnyt laskuttavaa työtä alalla?	Palvelut	Tuntilaskutus (ALV 0%, euroina)	Vuosilaskutus (ALV 0%, euroina)	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	Kuukausipalkka	Vuositulot	Vapaa kuvaus kokonaiskompensaatiomallista	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen? (muut vastaukset)	Vapaa sana	Palaute	Vastauskieli	Vastaustunniste	Rooli (normalisoitu)	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)
0	2024-10-07 10:05:39.380	Palkansaaja	Ei	46-50	NaN	25.0	NaN	3.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	1.0	0.50	NaN	8750.0	110000.0	Palkka + vuosibonus	Kyllä	None	NaN	NaN	fi	0cc7d7ce7d418c98		9166.666667	9166.666667
1	2024-10-07 10:06:12.205	Palkansaaja	Ei	31-35	mies	11.0	tietotekniikan kandidaatti	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	1.0	0.10	Site Reliability Engineer	5100.0	65200.0	NaN	Kyllä	None	NaN	NaN	fi	5930ded0f016a9ef	Site Reliability Engineer	5433.333333	5433.333333
2	2024-10-07 10:07:00.564	Palkansaaja	Ei	36-40	mies	12.0	Ylioppilas	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Konsulttitalossa	1.0	0.05	Fullstack developer	5850.0	105000.0	Palkka+osinko	Kyllä	None	NaN	NaN	fi	6a83c419393c1121	*Full-stack Developer	8750.000000	8750.000000
3	2024-10-07 10:07:20.023	Palkansaaja	Ei	41-45	mies	15.0	DI	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Tuotetalossa, jonka core-bisnes on softa	1.0	0.30	Lead	6800.0	81600.0	Rahapalkka	Kyllä	None	NaN	NaN	fi	2d2b3fbfcf27aa0b	Lead	6800.000000	6800.000000
4	2024-10-07 10:07:35.416	Palkansaaja	Ei	41-45	nainen	9.0	IT-tradenomi	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Helsinki & Tampere	Tuotetalossa, jonka core-bisnes on softa	1.0	0.20	Software developer, fullstack Clojure/script	4730.0	61500.0	NaN	Kyllä	None	NaN	NaN	fi	6b6dc4394a98cd4d	Software developer, fullstack Clojure/script	5125.000000	5125.000000
5	2024-10-07 10:07:54.251	Palkansaaja	Ei	41-45	mies	14.0	NaN	-5.0	NaN	NaN	NaN	NaN	NaN	NaN	Pieni tuotetalo	PK-seutu	Tuotetalossa, jonka core-bisnes on softa	1.0	0.50	Technical project manager	6660.0	83250.0	NaN	Kyllä	None	NaN	NaN	fi	1a074cdc4fa2e773	Technical project manager	6937.500000	6937.500000
6	2024-10-07 10:08:41.143	Palkansaaja	Ei	31-35	mies	13.0	FM (Tietojenkäsittelytiede)	0.0	NaN	NaN	NaN	NaN	NaN	NaN	Compile	PK-seutu	Konsulttitalossa	1.0	0.15	Software Specialist	7200.0	90000.0	Henkilöstörahasto bonuksille	Muu	Siinä ja siinä	NaN	NaN	fi	1296a91aa718e707	Software Specialist	7500.000000	7500.000000
7	2024-10-07 10:08:48.660	Palkansaaja	Ei	36-40	mies	20.0	DI	-100.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Tuotetalossa, jonka core-bisnes on softa	1.0	1.00	CTO	0.0	0.0	omistaja	Ei	None	kiitos	NaN	fi	e9678f135fec1969	CTO	0.000000	0.000000
8	2024-10-07 10:08:54.790	Palkansaaja	Ei	36-40	mies	15.0	Insinööri (AMK)	0.0	NaN	NaN	NaN	NaN	NaN	NaN	Exove	PK-seutu	Konsulttitalossa	1.0	0.01	Senior Developer	4300.0	NaN	NaN	Ei	None	NaN	NaN	fi	cbfd353e42764f94	*Senior Developer	NaN	NaN
9	2024-10-07 10:09:26.635	Laskuttaja	Ei	31-35	mies	10.0	Lukio, alkaneet tietojenkäsittelytieteen yliopisto-opinnot mutta ei papereita	-20.0	5.0	Full stack, tech lead, AWS, pilvi, devops	85.0	NaN	Itse, Käytän välitysfirmoja	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Muu	NaN	NaN	NaN	fi	5538dd6fa67da2c3		NaN	NaN

	Timestamp	Palkansaaja vai laskuttaja	Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2023 jälkeen?	Ikä	Sukupuoli	Työkokemus alalta (vuosina)	Koulutustaustasi	Tulojen muutos viime vuodesta (%)	Montako vuotta olet tehnyt laskuttavaa työtä alalla?	Palvelut	Tuntilaskutus (ALV 0%, euroina)	Vuosilaskutus (ALV 0%, euroina)	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	Kuukausipalkka	Vuositulot	Vapaa kuvaus kokonaiskompensaatiomallista	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen? (muut vastaukset)	Vapaa sana	Palaute	Vastauskieli	Vastaustunniste	Rooli (normalisoitu)	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)
723	2024-10-16 13:54:05.644	Palkansaaja	Ei	21-25	NaN	5.0	BSc maths and computer science	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Product company with software as their core business	1.0	0.05	Senior software developer	5200.0	67600.0	NaN	Muu	Unknown	NaN	NaN	en	0a439179d5ac5cef	*Senior Developer	5633.333333	5633.333333
724	2024-10-16 23:15:38.148	Palkansaaja	Ei	46-50	mies	19.0	Beta science M.Sc.	7.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Product company with software as their core business	1.0	0.05	Service delivery manager	4566.0	58900.0	Group level bonus 20% of 1 month salary	Ei	None	NaN	NaN	en	f73f7ab082ff3568	Service delivery manager	4908.333333	4908.333333
725	2024-10-21 09:26:01.660	Palkansaaja	Ei	36-40	NaN	10.0	AMK	0.0	NaN	NaN	NaN	NaN	NaN	NaN	Sanomaj	PK-seutu	Product company with software as their core business	1.0	0.30	IOS native developer	6300.0	80000.0	yearly optional perf bonus	Muu	NaN	NaN	NaN	en	efb0c3f33d9a799b	IOS native developer	6666.666667	6666.666667
726	2024-10-22 13:21:00.688	Palkansaaja	Ei	31-35	nainen	9.0	IT-Tradenomi	-30.0	NaN	NaN	NaN	NaN	NaN	NaN	Mavericks/Witted	PK-seutu	Consulting	1.0	0.10	Senior Mobile Developer	1890.0	62680.0	Commission-based salary	Ei	None	NaN	Could not add a minus in the percentage of salary change in the first page.	en	04967d62d23ef932	Senior Mobile Developer	5223.333333	5223.333333
727	2024-10-23 11:52:14.492	Palkansaaja	Ei	21-25	mies	2.0	Bachelor of Science. Soon Master of Science	10.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Consulting	1.0	0.00	Data Engineer	3900.0	47200.0	NaN	Ei	None	NaN	NaN	en	d2658f95965801db	Data Engineer	3933.333333	3933.333333
728	2024-10-23 11:59:41.857	Laskuttaja	Ei	31-35	mies	14.0	BSc	0.0	7.0	Full-stack, AI, DevOps, architecture, cloud engineering, machine laerning	95.0	110000.0	Company sales team.	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Muu	NaN	NaN	NaN	en	9eb9c21bb24a20e7		NaN	NaN
729	2024-10-23 11:59:43.865	Palkansaaja	Ei	31-35	mies	7.0	University - Computer Science	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Consulting	1.0	0.90	Fullstack developer	5800.0	70000.0	Base pay plus commission on billable hours	Kyllä	None	NaN	NaN	en	3c994ce4487d3419	*Full-stack Developer	5833.333333	5833.333333
730	2024-10-23 13:45:09.504	Palkansaaja	Ei	26-30	mies	3.0	Master of Science	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Consulting	1.0	0.90	Software developer	4670.0	55000.0	Base salary + bonus per billable hour (consultancy)	Muu	Yes, when working full time on a customer project, otherwise below average	NaN	NaN	en	e83d7c4a33da5c05	Software developer	4583.333333	4583.333333
731	2024-10-23 15:12:48.231	Palkansaaja	Ei	26-30	mies	3.0	Master of Science in Biomedical Engineering	5.0	NaN	NaN	NaN	NaN	NaN	NaN	Veracell	Tampere	Consulting	1.0	0.90	Data Engineer	4700.0	58000.0	Base monthly salary plus a provision part that is a fixed sum per billed working hour. The majority of the compensation comes from the base salary.	Kyllä	None	NaN	NaN	en	1060737903f8d7da	Data Engineer	4833.333333	4833.333333
732	2024-10-25 17:35:10.523	Palkansaaja	Ei	31-35	nainen	4.0	Amk (insinööri)	0.0	NaN	NaN	NaN	NaN	NaN	NaN	Roima Intelligence	PK-seutu	Product company with software as their core business	1.0	0.00	Software developer	3700.0	NaN	NaN	Ei	None	NaN	NaN	en	dbbc442636f62d81	Software developer	NaN	NaN

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