Pandas Profiling Report

Dataset statistics

Number of variables	31
Number of observations	951
Missing cells	10482
Missing cells (%)	35.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	182.5 KiB
Average record size in memory	196.5 B

Variable types

DateTime	1
Categorical	10
Numeric	11
Text	7
Unsupported	2

Alerts

`Työkokemus alalta (vuosina)` is highly overall correlated with `Kuukausipalkka` and 3 other fields	High correlation
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` is highly overall correlated with `Palkansaaja vai laskuttaja` and 1 other fields	High correlation
`Tuntilaskutus (ALV 0%, euroina)` is highly overall correlated with `Vuosilaskutus (ALV 0%, euroina)` and 4 other fields	High correlation
`Vuosilaskutus (ALV 0%, euroina)` is highly overall correlated with `Tuntilaskutus (ALV 0%, euroina)` and 2 other fields	High correlation
`Työaika` is highly overall correlated with `Palkansaaja vai laskuttaja` and 1 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 `Työkokemus alalta (vuosina)` and 4 other fields	High correlation
`Vuositulot` is highly overall correlated with `Työkokemus alalta (vuosina)` and 4 other fields	High correlation
`Kk-tulot (laskennallinen)` is highly overall correlated with `Työkokemus alalta (vuosina)` and 4 other fields	High correlation
`Kk-tulot (laskennallinen, normalisoitu)` is highly overall correlated with `Työkokemus alalta (vuosina)` and 5 other fields	High correlation
`Palkansaaja vai laskuttaja` is highly overall correlated with `Montako vuotta olet tehnyt laskuttavaa työtä alalla?` and 13 other fields	High correlation
`Sukupuoli` is highly overall correlated with `Tuntilaskutus (ALV 0%, euroina)`	High correlation
`Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` is highly overall correlated with `Palkansaaja vai laskuttaja` and 3 other fields	High correlation
`Mistä asiakkaat ovat?` is highly overall correlated with `Palkansaaja vai laskuttaja` and 3 other fields	High correlation
`Kaupunki` is highly overall correlated with `Työaika` and 2 other fields	High correlation
`Millaisessa yrityksessä työskentelet?` is highly overall correlated with `Palkansaaja vai laskuttaja` and 1 other fields	High correlation
`Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?` is highly overall correlated with `Montako vuotta olet tehnyt laskuttavaa työtä alalla?` and 5 other fields	High correlation
`Vastauskieli` is highly overall correlated with `Tuntilaskutus (ALV 0%, euroina)` and 3 other fields	High correlation
`Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2022 jälkeen?` is highly imbalanced (81.0%)	Imbalance
`Sukupuoli` is highly imbalanced (66.0%)	Imbalance
`Mistä asiakkaat ovat?` is highly imbalanced (55.9%)	Imbalance
`Kaupunki` is highly imbalanced (59.5%)	Imbalance
`Vastauskieli` is highly imbalanced (66.9%)	Imbalance
`Sukupuoli` has 68 (7.2%) missing values	Missing
`Koulutustaustasi` has 57 (6.0%) missing values	Missing
`Tulojen muutos viime vuodesta (%)` has 74 (7.8%) missing values	Missing
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` has 834 (87.7%) missing values	Missing
`Palvelut` has 834 (87.7%) missing values	Missing
`Tuntilaskutus (ALV 0%, euroina)` has 841 (88.4%) missing values	Missing
`Vuosilaskutus (ALV 0%, euroina)` has 851 (89.5%) missing values	Missing
`Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` has 834 (87.7%) missing values	Missing
`Mistä asiakkaat ovat?` has 834 (87.7%) missing values	Missing
`Työpaikka` has 734 (77.2%) missing values	Missing
`Kaupunki` has 136 (14.3%) missing values	Missing
`Millaisessa yrityksessä työskentelet?` has 127 (13.4%) missing values	Missing
`Työaika` has 119 (12.5%) missing values	Missing
`Kuinka suuren osan ajasta teet lähityönä toimistolla?` has 124 (13.0%) missing values	Missing
`Rooli` has 154 (16.2%) missing values	Missing
`Kuukausipalkka` has 120 (12.6%) missing values	Missing
`Vuositulot` has 122 (12.8%) missing values	Missing
`Vapaa kuvaus kokonaiskompensaatiomallista` has 659 (69.3%) missing values	Missing
`Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen? (muut vastaukset)` has 899 (94.5%) missing values	Missing
`Vapaa sana` has 899 (94.5%) missing values	Missing
`Palautetta kyselystä ja ideoita ensi vuoden kyselyyn` has 906 (95.3%) missing values	Missing
`Kk-tulot (laskennallinen)` has 122 (12.8%) missing values	Missing
`Kk-tulot (laskennallinen, normalisoitu)` has 124 (13.0%) missing values	Missing
`Tulojen muutos viime vuodesta (%)` is highly skewed (γ1 = 20.6617208)	Skewed
`Työaika` is highly skewed (γ1 = 24.65877734)	Skewed
`Timestamp` has unique values	Unique
`Vapaa kuvaus kokonaiskompensaatiomallista` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Vapaa sana` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Tulojen muutos viime vuodesta (%)` has 175 (18.4%) zeros	Zeros
`Kuinka suuren osan ajasta teet lähityönä toimistolla?` has 132 (13.9%) zeros	Zeros
`Vuositulot` has 14 (1.5%) zeros	Zeros
`Kk-tulot (laskennallinen)` has 14 (1.5%) zeros	Zeros
`Kk-tulot (laskennallinen, normalisoitu)` has 14 (1.5%) zeros	Zeros

Reproduction

Analysis started	2023-09-24 19:04:11.980857
Analysis finished	2023-09-24 19:04:28.836234
Duration	16.86 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

Timestamp
Date

UNIQUE

Distinct	951
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	14.9 KiB

Minimum	2023-09-03 12:02:04.465000
Maximum	2023-09-24 21:13:39.512000

Histogram

Histogram with fixed size bins (bins=50)

Palkansaaja vai laskuttaja
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.5 KiB

Palkansaaja	834
Laskuttaja	117

Length

Max length	11
Median length	11
Mean length	10.876972
Min length	10

Characters and Unicode

Total characters	10344
Distinct characters	10
Distinct categories	2 ?
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	Laskuttaja
4th row	Palkansaaja
5th row	Laskuttaja

Common Values

Value	Count	Frequency (%)
Palkansaaja	834	87.7%
Laskuttaja	117	12.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
palkansaaja	834	87.7%
laskuttaja	117	12.3%

Most occurring characters

Value	Count	Frequency (%)
a	4521	43.7%
k	951	9.2%
s	951	9.2%
j	951	9.2%
P	834	8.1%
l	834	8.1%
n	834	8.1%
t	234	2.3%
L	117	1.1%
u	117	1.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9393	90.8%
Uppercase Letter	951	9.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4521	48.1%
k	951	10.1%
s	951	10.1%
j	951	10.1%
l	834	8.9%
n	834	8.9%
t	234	2.5%
u	117	1.2%

Uppercase Letter

Value	Count	Frequency (%)
P	834	87.7%
L	117	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10344	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4521	43.7%
k	951	9.2%
s	951	9.2%
j	951	9.2%
P	834	8.1%
l	834	8.1%
n	834	8.1%
t	234	2.3%
L	117	1.1%
u	117	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10344	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4521	43.7%
k	951	9.2%
s	951	9.2%
j	951	9.2%
P	834	8.1%
l	834	8.1%
n	834	8.1%
t	234	2.3%
L	117	1.1%
u	117	1.1%

Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2022 jälkeen?
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	6
Missing (%)	0.6%
Memory size	8.5 KiB

Ei	903
palkansaaja → laskuttaja	30
laskuttaja → palkansaaja	12

Length

Max length	24
Median length	2
Mean length	2.9777778
Min length	2

Characters and Unicode

Total characters	2814
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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	palkansaaja → laskuttaja
4th row	Ei
5th row	Ei

Common Values

Value	Count	Frequency (%)
Ei	903	95.0%
palkansaaja → laskuttaja	30	3.2%
laskuttaja → palkansaaja	12	1.3%
(Missing)	6	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ei	903	87.8%
palkansaaja	42	4.1%
→	42	4.1%
laskuttaja	42	4.1%

Most occurring characters

Value	Count	Frequency (%)
E	903	32.1%
i	903	32.1%
a	336	11.9%
l	84	3.0%
k	84	3.0%
s	84	3.0%
j	84	3.0%
	84	3.0%
t	84	3.0%
p	42	1.5%
Other values (3)	126	4.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1785	63.4%
Uppercase Letter	903	32.1%
Space Separator	84	3.0%
Math Symbol	42	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	903	50.6%
a	336	18.8%
l	84	4.7%
k	84	4.7%
s	84	4.7%
j	84	4.7%
t	84	4.7%
p	42	2.4%
n	42	2.4%
u	42	2.4%

Uppercase Letter

Value	Count	Frequency (%)
E	903	100.0%

Space Separator

Value	Count	Frequency (%)
	84	100.0%

Math Symbol

Value	Count	Frequency (%)
→	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2688	95.5%
Common	126	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	903	33.6%
i	903	33.6%
a	336	12.5%
l	84	3.1%
k	84	3.1%
s	84	3.1%
j	84	3.1%
t	84	3.1%
p	42	1.6%
n	42	1.6%

Common

Value	Count	Frequency (%)
	84	66.7%
→	42	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2772	98.5%
Arrows	42	1.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	903	32.6%
i	903	32.6%
a	336	12.1%
l	84	3.0%
k	84	3.0%
s	84	3.0%
j	84	3.0%
	84	3.0%
t	84	3.0%
p	42	1.5%
Other values (2)	84	3.0%

Arrows

Value	Count	Frequency (%)
→	42	100.0%

Ikä
Categorical

Distinct	10
Distinct (%)	1.1%
Missing	1
Missing (%)	0.1%
Memory size	8.7 KiB

31-35	262
36-40	244
26-30	178
41-45	161
46-50	50
21-25	39
51-55	9
15-20	3
< 15v	2
> 55v	2

Length

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

Characters and Unicode

Total characters	4750
Distinct characters	12
Distinct categories	5 ?
Distinct scripts	2 ?
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	36-40
2nd row	26-30
3rd row	31-35
4th row	31-35
5th row	36-40

Common Values

Value	Count	Frequency (%)
31-35	262	27.5%
36-40	244	25.7%
26-30	178	18.7%
41-45	161	16.9%
46-50	50	5.3%
21-25	39	4.1%
51-55	9	0.9%
15-20	3	0.3%
< 15v	2	0.2%
> 55v	2	0.2%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
31-35	262	27.5%
36-40	244	25.6%
26-30	178	18.7%
41-45	161	16.9%
46-50	50	5.2%
21-25	39	4.1%
51-55	9	0.9%
	4	0.4%
15-20	3	0.3%
15v	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
3	946	19.9%
-	946	19.9%
4	616	13.0%
5	548	11.5%
1	476	10.0%
0	475	10.0%
6	472	9.9%
2	259	5.5%
	4	0.1%
v	4	0.1%
Other values (2)	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3792	79.8%
Dash Punctuation	946	19.9%
Space Separator	4	0.1%
Lowercase Letter	4	0.1%
Math Symbol	4	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	946	24.9%
4	616	16.2%
5	548	14.5%
1	476	12.6%
0	475	12.5%
6	472	12.4%
2	259	6.8%

Math Symbol

Value	Count	Frequency (%)
<	2	50.0%
>	2	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	946	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Lowercase Letter

Value	Count	Frequency (%)
v	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4746	99.9%
Latin	4	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	946	19.9%
-	946	19.9%
4	616	13.0%
5	548	11.5%
1	476	10.0%
0	475	10.0%
6	472	9.9%
2	259	5.5%
	4	0.1%
<	2	< 0.1%

Latin

Value	Count	Frequency (%)
v	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	946	19.9%
-	946	19.9%
4	616	13.0%
5	548	11.5%
1	476	10.0%
0	475	10.0%
6	472	9.9%
2	259	5.5%
	4	0.1%
v	4	0.1%
Other values (2)	4	0.1%

Sukupuoli
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	3
Distinct (%)	0.3%
Missing	68
Missing (%)	7.2%
Memory size	8.5 KiB

mies	784
nainen	94
muu	5

Length

Max length	6
Median length	4
Mean length	4.207248
Min length	3

Characters and Unicode

Total characters	3715
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	mies
5th row	mies

Common Values

Value	Count	Frequency (%)
mies	784	82.4%
nainen	94	9.9%
muu	5	0.5%
(Missing)	68	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mies	784	88.8%
nainen	94	10.6%
muu	5	0.6%

Most occurring characters

Value	Count	Frequency (%)
i	878	23.6%
e	878	23.6%
m	789	21.2%
s	784	21.1%
n	282	7.6%
a	94	2.5%
u	10	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3715	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	878	23.6%
e	878	23.6%
m	789	21.2%
s	784	21.1%
n	282	7.6%
a	94	2.5%
u	10	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3715	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	878	23.6%
e	878	23.6%
m	789	21.2%
s	784	21.1%
n	282	7.6%
a	94	2.5%
u	10	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3715	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	878	23.6%
e	878	23.6%
m	789	21.2%
s	784	21.1%
n	282	7.6%
a	94	2.5%
u	10	0.3%

Työkokemus alalta (vuosina)
Real number (ℝ)

HIGH CORRELATION

Distinct	33
Distinct (%)	3.5%
Missing	3
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	10.829114

Minimum	0
Maximum	37
Zeros	8
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	6
median	10
Q3	15
95-th percentile	23
Maximum	37
Range	37
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.6456802
Coefficient of variation (CV)	0.61368642
Kurtosis	-0.066164794
Mean	10.829114
Median Absolute Deviation (MAD)	5
Skewness	0.68412583
Sum	10266
Variance	44.165065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
15	79	8.3%
5	74	7.8%
10	69	7.3%
8	66	6.9%
6	65	6.8%
7	58	6.1%
4	50	5.3%
20	50	5.3%
12	45	4.7%
9	41	4.3%
Other values (23)	351	36.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	0.8%
1	24	2.5%
2	38	4.0%
3	39	4.1%
4	50	5.3%
5	74	7.8%
6	65	6.8%
7	58	6.1%
8	66	6.9%
9	41	4.3%

Value	Count	Frequency (%)
37	1	0.1%
33	1	0.1%
32	1	0.1%
30	4	0.4%
29	1	0.1%
28	3	0.3%
26	7	0.7%
25	25	2.6%
24	4	0.4%
23	16	1.7%

Koulutustaustasi
Text

MISSING

Distinct	418
Distinct (%)	46.8%
Missing	57
Missing (%)	6.0%
Memory size	14.9 KiB

Length

Max length	153
Median length	59
Mean length	17.606264
Min length	1

Characters and Unicode

Total characters	15740
Distinct characters	65
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	333 ?
Unique (%)	37.2%

Sample

1st row	Ammattikoulu
2nd row	Tietojenkäsittelyn tradenomi
3rd row	DI
4th row	Filosofian kandidaatti, tietojenkäsittelytiede
5th row	Melkein DI

Value	Count	Frequency (%)
amk	121	7.3%
di	112	6.8%
diplomi-insinööri	76	4.6%
insinööri	71	4.3%
maisteri	59	3.6%
tietotekniikan	48	2.9%
ylioppilas	43	2.6%
fm	39	2.4%
tradenomi	37	2.2%
filosofian	36	2.2%
Other values (306)	1007	61.1%

Most occurring characters

Value	Count	Frequency (%)
i	2213	14.1%
t	1350	8.6%
e	1208	7.7%
n	1182	7.5%
o	1063	6.8%
a	912	5.8%
k	815	5.2%
	774	4.9%
s	632	4.0%
l	613	3.9%
Other values (55)	4978	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13000	82.6%
Uppercase Letter	1505	9.6%
Space Separator	774	4.9%
Other Punctuation	149	0.9%
Dash Punctuation	137	0.9%
Close Punctuation	80	0.5%
Open Punctuation	79	0.5%
Math Symbol	9	0.1%
Decimal Number	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	2213	17.0%
t	1350	10.4%
e	1208	9.3%
n	1182	9.1%
o	1063	8.2%
a	912	7.0%
k	815	6.3%
s	632	4.9%
l	613	4.7%
r	498	3.8%
Other values (16)	2514	19.3%

Uppercase Letter

Value	Count	Frequency (%)
M	220	14.6%
T	206	13.7%
D	201	13.4%
A	196	13.0%
I	187	12.4%
K	162	10.8%
Y	83	5.5%
F	76	5.0%
L	45	3.0%
S	38	2.5%
Other values (10)	91	6.0%

Other Punctuation

Value	Count	Frequency (%)
,	104	69.8%
.	21	14.1%
'	8	5.4%
/	8	5.4%
:	2	1.3%
"	2	1.3%
%	1	0.7%
!	1	0.7%
@	1	0.7%
&	1	0.7%

Decimal Number

Value	Count	Frequency (%)
2	4	57.1%
0	1	14.3%
8	1	14.3%
5	1	14.3%

Space Separator

Value	Count	Frequency (%)
	774	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	137	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	80	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	79	100.0%

Math Symbol

Value	Count	Frequency (%)
+	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14505	92.2%
Common	1235	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	2213	15.3%
t	1350	9.3%
e	1208	8.3%
n	1182	8.1%
o	1063	7.3%
a	912	6.3%
k	815	5.6%
s	632	4.4%
l	613	4.2%
r	498	3.4%
Other values (36)	4019	27.7%

Common

Value	Count	Frequency (%)
	774	62.7%
-	137	11.1%
,	104	8.4%
)	80	6.5%
(	79	6.4%
.	21	1.7%
+	9	0.7%
'	8	0.6%
/	8	0.6%
2	4	0.3%
Other values (9)	11	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15312	97.3%
None	428	2.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	2213	14.5%
t	1350	8.8%
e	1208	7.9%
n	1182	7.7%
o	1063	6.9%
a	912	6.0%
k	815	5.3%
	774	5.1%
s	632	4.1%
l	613	4.0%
Other values (53)	4550	29.7%

None

Value	Count	Frequency (%)
ö	318	74.3%
ä	110	25.7%

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

MISSING SKEWED ZEROS

Distinct	131
Distinct (%)	14.9%
Missing	74
Missing (%)	7.8%
Infinite	0
Infinite (%)	0.0%
Mean	9.983358

Minimum	-40
Maximum	1000
Zeros	175
Zeros (%)	18.4%
Negative	33
Negative (%)	3.5%
Memory size	14.9 KiB

Quantile statistics

Minimum	-40
5-th percentile	0
Q1	1
median	4
Q3	10
95-th percentile	33
Maximum	1000
Range	1040
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	38.083576
Coefficient of variation (CV)	3.814706
Kurtosis	524.17876
Mean	9.983358
Median Absolute Deviation (MAD)	4
Skewness	20.661721
Sum	8755.405
Variance	1450.3588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	175	18.4%
3	103	10.8%
5	63	6.6%
10	52	5.5%
4	42	4.4%
2	28	2.9%
15	22	2.3%
8	22	2.3%
11	21	2.2%
7	21	2.2%
Other values (121)	328	34.5%
(Missing)	74	7.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-40	1	0.1%
-38	1	0.1%
-25	2	0.2%
-21	1	0.1%
-20	2	0.2%
-18	1	0.1%
-15	4	0.4%
-12	1	0.1%
-10	6	0.6%
-9	1	0.1%

Value	Count	Frequency (%)
1000	1	0.1%
200	1	0.1%
190	1	0.1%
180	1	0.1%
133	1	0.1%
122	1	0.1%
120	1	0.1%
105	1	0.1%
100	3	0.3%
90	1	0.1%

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

HIGH CORRELATION MISSING

Distinct	27
Distinct (%)	23.1%
Missing	834
Missing (%)	87.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.8025641

Minimum	0
Maximum	26
Zeros	4
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0.48
Q1	1.5
median	3
Q3	4.5
95-th percentile	12.2
Maximum	26
Range	26
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	4.1105722
Coefficient of variation (CV)	1.0810001
Kurtosis	9.1804791
Mean	3.8025641
Median Absolute Deviation (MAD)	1.5
Skewness	2.697707
Sum	444.9
Variance	16.896804
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
2	24	2.5%
3	19	2.0%
1	15	1.6%
5	10	1.1%
4	9	0.9%
0.5	6	0.6%
1.5	5	0.5%
0	4	0.4%
10	3	0.3%
7	3	0.3%
Other values (17)	19	2.0%
(Missing)	834	87.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	0.4%
0.2	1	0.1%
0.4	1	0.1%
0.5	6	0.6%
1	15	1.6%
1.5	5	0.5%
2	24	2.5%
2.5	1	0.1%
2.8	1	0.1%
3	19	2.0%

Value	Count	Frequency (%)
26	1	0.1%
20	1	0.1%
16	1	0.1%
15	1	0.1%
14	1	0.1%
13	1	0.1%
12	2	0.2%
10	3	0.3%
9	1	0.1%
8	1	0.1%

Palvelut
Text

MISSING

Distinct	94
Distinct (%)	80.3%
Missing	834
Missing (%)	87.7%
Memory size	14.9 KiB

Length

Max length	81
Median length	46
Mean length	26.145299
Min length	3

Characters and Unicode

Total characters	3059
Distinct characters	56
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	88 ?
Unique (%)	75.2%

Sample

1st row	Frontend
2nd row	Full-stack lead dev
3rd row	Full-stack devausta
4th row	Full stack
5th row	Full stack softadevaus

Value	Count	Frequency (%)
stack	52	14.1%
full	51	13.8%
data	12	3.2%
backend	11	3.0%
arkkitehtuuri	11	3.0%
devops	11	3.0%
devausta	9	2.4%
full-stack	9	2.4%
fullstack	9	2.4%
mobiili	7	1.9%
Other values (127)	188	50.8%

Most occurring characters

Value	Count	Frequency (%)
a	276	9.0%
t	265	8.7%
	254	8.3%
l	208	6.8%
e	202	6.6%
i	183	6.0%
k	178	5.8%
u	166	5.4%
s	160	5.2%
n	129	4.2%
Other values (46)	1038	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2497	81.6%
Space Separator	254	8.3%
Uppercase Letter	169	5.5%
Other Punctuation	108	3.5%
Dash Punctuation	18	0.6%
Math Symbol	4	0.1%
Close Punctuation	4	0.1%
Open Punctuation	4	0.1%
Decimal Number	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	276	11.1%
t	265	10.6%
l	208	8.3%
e	202	8.1%
i	183	7.3%
k	178	7.1%
u	166	6.6%
s	160	6.4%
n	129	5.2%
o	122	4.9%
Other values (16)	608	24.3%

Uppercase Letter

Value	Count	Frequency (%)
F	69	40.8%
S	16	9.5%
D	15	8.9%
B	11	6.5%
A	8	4.7%
O	7	4.1%
C	7	4.1%
M	6	3.6%
P	6	3.6%
L	5	3.0%
Other values (10)	19	11.2%

Other Punctuation

Value	Count	Frequency (%)
,	98	90.7%
.	5	4.6%
/	4	3.7%
&	1	0.9%

Space Separator

Value	Count	Frequency (%)
	254	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Math Symbol

Value	Count	Frequency (%)
+	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Decimal Number

Value	Count	Frequency (%)
3	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2666	87.2%
Common	393	12.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	276	10.4%
t	265	9.9%
l	208	7.8%
e	202	7.6%
i	183	6.9%
k	178	6.7%
u	166	6.2%
s	160	6.0%
n	129	4.8%
o	122	4.6%
Other values (36)	777	29.1%

Common

Value	Count	Frequency (%)
	254	64.6%
,	98	24.9%
-	18	4.6%
.	5	1.3%
/	4	1.0%
+	4	1.0%
)	4	1.0%
(	4	1.0%
&	1	0.3%
3	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3030	99.1%
None	29	0.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	276	9.1%
t	265	8.7%
	254	8.4%
l	208	6.9%
e	202	6.7%
i	183	6.0%
k	178	5.9%
u	166	5.5%
s	160	5.3%
n	129	4.3%
Other values (44)	1009	33.3%

None

Value	Count	Frequency (%)
ä	25	86.2%
ö	4	13.8%

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

HIGH CORRELATION MISSING

Distinct	38
Distinct (%)	34.5%
Missing	841
Missing (%)	88.4%
Infinite	0
Infinite (%)	0.0%
Mean	93.138182

Minimum	0
Maximum	240
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	65.45
Q1	80
median	90
Q3	100
95-th percentile	130
Maximum	240
Range	240
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	25.866584
Coefficient of variation (CV)	0.27772267
Kurtosis	10.339206
Mean	93.138182
Median Absolute Deviation (MAD)	10
Skewness	1.5895882
Sum	10245.2
Variance	669.08018
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
90	13	1.4%
80	12	1.3%
95	10	1.1%
85	10	1.1%
120	6	0.6%
100	6	0.6%
110	4	0.4%
75	3	0.3%
76	3	0.3%
88	3	0.3%
Other values (28)	40	4.2%
(Missing)	841	88.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
30	1	0.1%
54	1	0.1%
65	3	0.3%
66	1	0.1%
70	2	0.2%
72	2	0.2%
73	2	0.2%
74	1	0.1%
75	3	0.3%

Value	Count	Frequency (%)
240	1	0.1%
160	1	0.1%
150	2	0.2%
140	1	0.1%
130	2	0.2%
126	1	0.1%
125	2	0.2%
120	6	0.6%
114	1	0.1%
110	4	0.4%

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

HIGH CORRELATION MISSING

Distinct	51
Distinct (%)	51.0%
Missing	851
Missing (%)	89.5%
Infinite	0
Infinite (%)	0.0%
Mean	134861.37

Minimum	0
Maximum	300000
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	29850
Q1	120000
median	140000
Q3	160000
95-th percentile	217500
Maximum	300000
Range	300000
Interquartile range (IQR)	40000

Descriptive statistics

Standard deviation	53389.44
Coefficient of variation (CV)	0.39588386
Kurtosis	1.3518031
Mean	134861.37
Median Absolute Deviation (MAD)	20000
Skewness	-0.30328108
Sum	13486137
Variance	2.8504323 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150000	13	1.4%
120000	9	0.9%
160000	6	0.6%
140000	5	0.5%
125000	4	0.4%
200000	4	0.4%
100000	4	0.4%
130000	4	0.4%
105000	3	0.3%
152000	2	0.2%
Other values (41)	46	4.8%
(Missing)	851	89.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
115	1	0.1%
130	1	0.1%
10000	1	0.1%
27000	1	0.1%
30000	2	0.2%
32000	1	0.1%
50000	2	0.2%
52800	1	0.1%
65200	1	0.1%

Value	Count	Frequency (%)
300000	1	0.1%
260000	1	0.1%
240000	1	0.1%
230000	1	0.1%
227000	1	0.1%
217000	1	0.1%
205000	1	0.1%
200000	4	0.4%
190000	2	0.2%
180000	2	0.2%

Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?
Categorical

HIGH CORRELATION MISSING

Distinct	10
Distinct (%)	8.5%
Missing	834
Missing (%)	87.7%
Memory size	14.9 KiB

Itse	42
Käytän välitysfirmoja	40
Itse, Käytän välitysfirmoja	27
Myself	2
En hanki, sivutoimisena teen vain muutamalle asiakkaalle	1
Itse, Verkostot / kumppaniy välittää liidejä	1
Kaksi isoa sopimuskumppania	1
Itse, Käytän välitysfirmoja,	1
Agencies	1
Myself, Agencies	1

Length

Max length	56
Median length	44
Mean length	16.487179
Min length	4

Characters and Unicode

Total characters	1929
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	6 ?
Unique (%)	5.1%

Sample

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

Common Values

Value	Count	Frequency (%)
Itse	42	4.4%
Käytän välitysfirmoja	40	4.2%
Itse, Käytän välitysfirmoja	27	2.8%
Myself	2	0.2%
En hanki, sivutoimisena teen vain muutamalle asiakkaalle	1	0.1%
Itse, Verkostot / kumppaniy välittää liidejä	1	0.1%
Kaksi isoa sopimuskumppania	1	0.1%
Itse, Käytän välitysfirmoja,	1	0.1%
Agencies	1	0.1%
Myself, Agencies	1	0.1%
(Missing)	834	87.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
itse	71	31.3%
käytän	68	30.0%
välitysfirmoja	68	30.0%
myself	3	1.3%
agencies	2	0.9%
hanki	1	0.4%
sivutoimisena	1	0.4%
teen	1	0.4%
vain	1	0.4%
muutamalle	1	0.4%
Other values (10)	10	4.4%

Most occurring characters

Value	Count	Frequency (%)
t	214	11.1%
ä	208	10.8%
s	152	7.9%
i	152	7.9%
y	140	7.3%
	111	5.8%
e	85	4.4%
a	82	4.3%
n	77	4.0%
l	77	4.0%
Other values (21)	631	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1638	84.9%
Uppercase Letter	147	7.6%
Space Separator	111	5.8%
Other Punctuation	33	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	214	13.1%
ä	208	12.7%
s	152	9.3%
i	152	9.3%
y	140	8.5%
e	85	5.2%
a	82	5.0%
n	77	4.7%
l	77	4.7%
m	74	4.5%
Other values (12)	377	23.0%

Uppercase Letter

Value	Count	Frequency (%)
I	71	48.3%
K	69	46.9%
M	3	2.0%
A	2	1.4%
E	1	0.7%
V	1	0.7%

Other Punctuation

Value	Count	Frequency (%)
,	32	97.0%
/	1	3.0%

Space Separator

Value	Count	Frequency (%)
	111	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1785	92.5%
Common	144	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	214	12.0%
ä	208	11.7%
s	152	8.5%
i	152	8.5%
y	140	7.8%
e	85	4.8%
a	82	4.6%
n	77	4.3%
l	77	4.3%
m	74	4.1%
Other values (18)	524	29.4%

Common

Value	Count	Frequency (%)
	111	77.1%
,	32	22.2%
/	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1721	89.2%
None	208	10.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	214	12.4%
s	152	8.8%
i	152	8.8%
y	140	8.1%
	111	6.4%
e	85	4.9%
a	82	4.8%
n	77	4.5%
l	77	4.5%
m	74	4.3%
Other values (20)	557	32.4%

None

Value	Count	Frequency (%)
ä	208	100.0%

Mistä asiakkaat ovat?
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	6
Distinct (%)	5.1%
Missing	834
Missing (%)	87.7%
Memory size	8.6 KiB

Suomesta	90
Suomesta, Ulkomailta	13
Ulkomailta	11
Abroad	1
Ainostaan Yhdysvalloista. No exceptions.	1
Finland, Abroad	1

Length

Max length	40
Median length	8
Mean length	9.8376068
Min length	6

Characters and Unicode

Total characters	1151
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	3 ?
Unique (%)	2.6%

Sample

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

Common Values

Value	Count	Frequency (%)
Suomesta	90	9.5%
Suomesta, Ulkomailta	13	1.4%
Ulkomailta	11	1.2%
Abroad	1	0.1%
Ainostaan Yhdysvalloista. No exceptions.	1	0.1%
Finland, Abroad	1	0.1%
(Missing)	834	87.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
suomesta	103	76.9%
ulkomailta	24	17.9%
abroad	2	1.5%
ainostaan	1	0.7%
yhdysvalloista	1	0.7%
no	1	0.7%
exceptions	1	0.7%
finland	1	0.7%

Most occurring characters

Value	Count	Frequency (%)
a	158	13.7%
o	133	11.6%
t	130	11.3%
m	127	11.0%
s	107	9.3%
e	105	9.1%
S	103	8.9%
u	103	8.9%
l	51	4.4%
i	28	2.4%
Other values (19)	106	9.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	985	85.6%
Uppercase Letter	133	11.6%
Space Separator	17	1.5%
Other Punctuation	16	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	158	16.0%
o	133	13.5%
t	130	13.2%
m	127	12.9%
s	107	10.9%
e	105	10.7%
u	103	10.5%
l	51	5.2%
i	28	2.8%
k	24	2.4%
Other values (10)	19	1.9%

Uppercase Letter

Value	Count	Frequency (%)
S	103	77.4%
U	24	18.0%
A	3	2.3%
Y	1	0.8%
N	1	0.8%
F	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
,	14	87.5%
.	2	12.5%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1118	97.1%
Common	33	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	158	14.1%
o	133	11.9%
t	130	11.6%
m	127	11.4%
s	107	9.6%
e	105	9.4%
S	103	9.2%
u	103	9.2%
l	51	4.6%
i	28	2.5%
Other values (16)	73	6.5%

Common

Value	Count	Frequency (%)
	17	51.5%
,	14	42.4%
.	2	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1151	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	158	13.7%
o	133	11.6%
t	130	11.3%
m	127	11.0%
s	107	9.3%
e	105	9.1%
S	103	8.9%
u	103	8.9%
l	51	4.4%
i	28	2.4%
Other values (19)	106	9.2%

Työpaikka
Text

MISSING

Distinct	107
Distinct (%)	49.3%
Missing	734
Missing (%)	77.2%
Memory size	14.9 KiB

Length

Max length	42
Median length	33
Mean length	9.0138249
Min length	0

Characters and Unicode

Total characters	1956
Distinct characters	61
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	78 ?
Unique (%)	35.9%

Sample

1st row	Mavericks
2nd row	Gofore
3rd row	Arado
4th row	Verkkokauppa.comj
5th row	Wunderdog

Value	Count	Frequency (%)
vincit	26	9.5%
siili	11	4.0%
gofore	10	3.6%
reaktor	10	3.6%
solita	9	3.3%
compile	8	2.9%
futurice	7	2.6%
mavericks	7	2.6%
mehiläinen	7	2.6%
wolt	7	2.6%
Other values (124)	172	62.8%

Most occurring characters

Value	Count	Frequency (%)
i	254	13.0%
o	167	8.5%
t	146	7.5%
e	140	7.2%
a	131	6.7%
n	123	6.3%
l	108	5.5%
r	91	4.7%
s	62	3.2%
	62	3.2%
Other values (51)	672	34.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1604	82.0%
Uppercase Letter	275	14.1%
Space Separator	62	3.2%
Other Punctuation	7	0.4%
Dash Punctuation	5	0.3%
Decimal Number	3	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	254	15.8%
o	167	10.4%
t	146	9.1%
e	140	8.7%
a	131	8.2%
n	123	7.7%
l	108	6.7%
r	91	5.7%
s	62	3.9%
u	55	3.4%
Other values (18)	327	20.4%

Uppercase Letter

Value	Count	Frequency (%)
S	45	16.4%
V	36	13.1%
M	24	8.7%
C	20	7.3%
R	16	5.8%
E	12	4.4%
F	12	4.4%
P	12	4.4%
W	11	4.0%
L	11	4.0%
Other values (15)	76	27.6%

Other Punctuation

Value	Count	Frequency (%)
.	5	71.4%
!	1	14.3%
,	1	14.3%

Decimal Number

Value	Count	Frequency (%)
8	1	33.3%
3	1	33.3%
0	1	33.3%

Space Separator

Value	Count	Frequency (%)
	62	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1879	96.1%
Common	77	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	254	13.5%
o	167	8.9%
t	146	7.8%
e	140	7.5%
a	131	7.0%
n	123	6.5%
l	108	5.7%
r	91	4.8%
s	62	3.3%
u	55	2.9%
Other values (43)	602	32.0%

Common

Value	Count	Frequency (%)
	62	80.5%
.	5	6.5%
-	5	6.5%
8	1	1.3%
!	1	1.3%
,	1	1.3%
3	1	1.3%
0	1	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1945	99.4%
None	11	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	254	13.1%
o	167	8.6%
t	146	7.5%
e	140	7.2%
a	131	6.7%
n	123	6.3%
l	108	5.6%
r	91	4.7%
s	62	3.2%
	62	3.2%
Other values (49)	661	34.0%

None

Value	Count	Frequency (%)
ä	9	81.8%
ö	2	18.2%

Kaupunki
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	38
Distinct (%)	4.7%
Missing	136
Missing (%)	14.3%
Memory size	9.7 KiB

PK-seutu	468
Tampere	156
Turku	79
Oulu	33
Jyväskylä	31
Kuopio	7
Joensuu	4
Vaasa	4
Pori	3
Seinäjoki	2
No HQ	1
Piilaakso	1
San Francisco	1
Remote	1
Mikkeli	1
Täysi etätyö, ei toimistoa	1
Ulkomaat	1
Working from home (Turku) for a US-based company	1
työpaikka hajautettu	1
Muu	1
Other values (18)	18

Length

Max length	48
Median length	8
Mean length	7.5312883
Min length	2

Characters and Unicode

Total characters	6138
Distinct characters	52
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	28 ?
Unique (%)	3.4%

Sample

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

Common Values

Value	Count	Frequency (%)
PK-seutu	468	49.2%
Tampere	156	16.4%
Turku	79	8.3%
Oulu	33	3.5%
Jyväskylä	31	3.3%
Kuopio	7	0.7%
Joensuu	4	0.4%
Vaasa	4	0.4%
Pori	3	0.3%
Seinäjoki	2	0.2%
Other values (28)	28	2.9%
(Missing)	136	14.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pk-seutu	468	55.3%
tampere	156	18.4%
turku	81	9.6%
oulu	33	3.9%
jyväskylä	31	3.7%
kuopio	7	0.8%
joensuu	4	0.5%
vaasa	4	0.5%
from	3	0.4%
company	3	0.4%
Other values (46)	56	6.6%

Most occurring characters

Value	Count	Frequency (%)
u	1191	19.4%
e	807	13.1%
s	516	8.4%
t	489	8.0%
K	479	7.8%
P	472	7.7%
-	470	7.7%
r	256	4.2%
T	238	3.9%
a	201	3.3%
Other values (42)	1019	16.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4326	70.5%
Uppercase Letter	1301	21.2%
Dash Punctuation	470	7.7%
Space Separator	33	0.5%
Other Punctuation	4	0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	1191	27.5%
e	807	18.7%
s	516	11.9%
t	489	11.3%
r	256	5.9%
a	201	4.6%
m	174	4.0%
p	169	3.9%
k	125	2.9%
l	77	1.8%
Other values (15)	321	7.4%

Uppercase Letter

Value	Count	Frequency (%)
K	479	36.8%
P	472	36.3%
T	238	18.3%
J	35	2.7%
O	33	2.5%
S	6	0.5%
U	5	0.4%
V	4	0.3%
H	4	0.3%
A	3	0.2%
Other values (12)	22	1.7%

Dash Punctuation

Value	Count	Frequency (%)
-	470	100.0%

Space Separator

Value	Count	Frequency (%)
	33	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5627	91.7%
Common	511	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	1191	21.2%
e	807	14.3%
s	516	9.2%
t	489	8.7%
K	479	8.5%
P	472	8.4%
r	256	4.5%
T	238	4.2%
a	201	3.6%
m	174	3.1%
Other values (37)	804	14.3%

Common

Value	Count	Frequency (%)
-	470	92.0%
	33	6.5%
,	4	0.8%
(	2	0.4%
)	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6068	98.9%
None	70	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	1191	19.6%
e	807	13.3%
s	516	8.5%
t	489	8.1%
K	479	7.9%
P	472	7.8%
-	470	7.7%
r	256	4.2%
T	238	3.9%
a	201	3.3%
Other values (40)	949	15.6%

None

Value	Count	Frequency (%)
ä	68	97.1%
ö	2	2.9%

Millaisessa yrityksessä työskentelet?
Categorical

HIGH CORRELATION MISSING

Distinct	14
Distinct (%)	1.7%
Missing	127
Missing (%)	13.4%
Memory size	9.0 KiB

Konsulttitalossa	396
Tuotetalossa, jonka core-bisnes on softa	237
Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	111
Consulting	27
Julkinen tai kolmas sektori	23
Product company with software as their core business	18
A company where software is support role (for example banks or healthcare)	5
.	1
Alihankkija, konsultointi	1
Digitoimisto	1
Service provider	1
Tuotetalo, jolla myös konsultointia	1
Tuotetalossa, jossa softa ja rauta muodostavat yhdessä tuotteen	1
startup	1

Length

Max length	74
Median length	63
Mean length	32.021845
Min length	1

Characters and Unicode

Total characters	26386
Distinct characters	41
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	7 ?
Unique (%)	0.8%

Sample

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

Common Values

Value	Count	Frequency (%)
Konsulttitalossa	396	41.6%
Tuotetalossa, jonka core-bisnes on softa	237	24.9%
Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	111	11.7%
Consulting	27	2.8%
Julkinen tai kolmas sektori	23	2.4%
Product company with software as their core business	18	1.9%
A company where software is support role (for example banks or healthcare)	5	0.5%
.	1	0.1%
Alihankkija, konsultointi	1	0.1%
Digitoimisto	1	0.1%
Other values (4)	4	0.4%
(Missing)	127	13.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
konsulttitalossa	396	13.1%
softa	349	11.5%
on	348	11.5%
tuotetalossa	238	7.8%
jonka	237	7.8%
core-bisnes	237	7.8%
jossa	112	3.7%
esim	111	3.7%
yms	111	3.7%
terveysala	111	3.7%
Other values (43)	783	25.8%

Most occurring characters

Value	Count	Frequency (%)
s	3568	13.5%
o	2961	11.2%
t	2855	10.8%
a	2551	9.7%
	2209	8.4%
n	1592	6.0%
e	1432	5.4%
i	1355	5.1%
l	1235	4.7%
u	843	3.2%
Other values (31)	5785	21.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22312	84.6%
Space Separator	2209	8.4%
Uppercase Letter	822	3.1%
Other Punctuation	574	2.2%
Dash Punctuation	237	0.9%
Close Punctuation	116	0.4%
Open Punctuation	116	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	3568	16.0%
o	2961	13.3%
t	2855	12.8%
a	2551	11.4%
n	1592	7.1%
e	1432	6.4%
i	1355	6.1%
l	1235	5.5%
u	843	3.8%
k	648	2.9%
Other values (16)	3272	14.7%

Uppercase Letter

Value	Count	Frequency (%)
K	396	48.2%
T	239	29.1%
Y	111	13.5%
C	27	3.3%
J	23	2.8%
P	18	2.2%
A	6	0.7%
D	1	0.1%
S	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
,	573	99.8%
.	1	0.2%

Space Separator

Value	Count	Frequency (%)
	2209	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	237	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	116	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	116	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23134	87.7%
Common	3252	12.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	3568	15.4%
o	2961	12.8%
t	2855	12.3%
a	2551	11.0%
n	1592	6.9%
e	1432	6.2%
i	1355	5.9%
l	1235	5.3%
u	843	3.6%
k	648	2.8%
Other values (25)	4094	17.7%

Common

Value	Count	Frequency (%)
	2209	67.9%
,	573	17.6%
-	237	7.3%
)	116	3.6%
(	116	3.6%
.	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26273	99.6%
None	113	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	3568	13.6%
o	2961	11.3%
t	2855	10.9%
a	2551	9.7%
	2209	8.4%
n	1592	6.1%
e	1432	5.5%
i	1355	5.2%
l	1235	4.7%
u	843	3.2%
Other values (29)	5672	21.6%

None

Value	Count	Frequency (%)
ä	112	99.1%
ö	1	0.9%

Työaika
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	24
Distinct (%)	2.9%
Missing	119
Missing (%)	12.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.98857704

Minimum	0.15
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0.15
5-th percentile	0.8
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	10
Range	9.85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.32893949
Coefficient of variation (CV)	0.33274037
Kurtosis	679.98349
Mean	0.98857704
Median Absolute Deviation (MAD)	0
Skewness	24.658777
Sum	822.4961
Variance	0.10820119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
1	752	79.1%
0.8	32	3.4%
0.375	9	0.9%
0.9	7	0.7%
0.5	5	0.5%
0.6	3	0.3%
0.7	2	0.2%
1.2	2	0.2%
0.95	2	0.2%
1.1	2	0.2%
Other values (14)	16	1.7%
(Missing)	119	12.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.15	1	0.1%
0.3	1	0.1%
0.375	9	0.9%
0.4	1	0.1%
0.5	5	0.5%
0.5001	1	0.1%
0.6	3	0.3%
0.7	2	0.2%
0.8	32	3.4%
0.85	1	0.1%

Value	Count	Frequency (%)
10	1	0.1%
1.4	1	0.1%
1.33	1	0.1%
1.2	2	0.2%
1.15	1	0.1%
1.1	2	0.2%
1.06	1	0.1%
1	752	79.1%
0.99	2	0.2%
0.987	2	0.2%

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

HIGH CORRELATION MISSING ZEROS

Distinct	31
Distinct (%)	3.7%
Missing	124
Missing (%)	13.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.32594317

Minimum	0
Maximum	1
Zeros	132
Zeros (%)	13.9%
Negative	0
Negative (%)	0.0%
Memory size	14.9 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	0.32878401
Coefficient of variation (CV)	1.0087158
Kurtosis	-0.8112703
Mean	0.32594317
Median Absolute Deviation (MAD)	0.2
Skewness	0.77806491
Sum	269.555
Variance	0.10809893
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	132	13.9%
0.2	98	10.3%
0.1	84	8.8%
0.05	73	7.7%
0.5	51	5.4%
0.8	45	4.7%
0.4	42	4.4%
0.9	42	4.4%
1	37	3.9%
0.6	36	3.8%
Other values (21)	187	19.7%
(Missing)	124	13.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	132	13.9%
0.01	27	2.8%
0.02	13	1.4%
0.025	1	0.1%
0.03	9	0.9%
0.04	3	0.3%
0.05	73	7.7%
0.08	2	0.2%
0.1	84	8.8%
0.15	23	2.4%

Value	Count	Frequency (%)
1	37	3.9%
0.99	1	0.1%
0.95	16	1.7%
0.9	42	4.4%
0.85	2	0.2%
0.82	1	0.1%
0.8	45	4.7%
0.75	21	2.2%
0.7	7	0.7%
0.67	1	0.1%

Rooli
Text

MISSING

Distinct	389
Distinct (%)	48.8%
Missing	154
Missing (%)	16.2%
Memory size	14.9 KiB

Length

Max length	168
Median length	70
Mean length	21.007528
Min length	2

Characters and Unicode

Total characters	16743
Distinct characters	68
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	310 ?
Unique (%)	38.9%

Sample

1st row	Full stack developer
2nd row	Full-stack Developer
3rd row	Full-stack developer
4th row	Lead Developer (fronttipainotus)
5th row	Full-stack developer

Value	Count	Frequency (%)
developer	435	21.0%
software	205	9.9%
engineer	123	5.9%
senior	121	5.8%
full	90	4.3%
stack	88	4.3%
lead	71	3.4%
fullstack	68	3.3%
	49	2.4%
frontend	47	2.3%
Other values (250)	773	37.3%

Most occurring characters

Value	Count	Frequency (%)
e	2598	15.5%
	1290	7.7%
r	1218	7.3%
l	1071	6.4%
o	1068	6.4%
t	1006	6.0%
a	922	5.5%
n	826	4.9%
i	669	4.0%
d	590	3.5%
Other values (58)	5485	32.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13809	82.5%
Uppercase Letter	1422	8.5%
Space Separator	1291	7.7%
Other Punctuation	112	0.7%
Dash Punctuation	66	0.4%
Open Punctuation	16	0.1%
Close Punctuation	16	0.1%
Math Symbol	8	< 0.1%
Decimal Number	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2598	18.8%
r	1218	8.8%
l	1071	7.8%
o	1068	7.7%
t	1006	7.3%
a	922	6.7%
n	826	6.0%
i	669	4.8%
d	590	4.3%
p	543	3.9%
Other values (17)	3298	23.9%

Uppercase Letter

Value	Count	Frequency (%)
S	392	27.6%
F	233	16.4%
D	204	14.3%
E	101	7.1%
O	68	4.8%
A	59	4.1%
C	59	4.1%
L	55	3.9%
T	44	3.1%
P	43	3.0%
Other values (15)	164	11.5%

Other Punctuation

Value	Count	Frequency (%)
/	50	44.6%
,	39	34.8%
&	14	12.5%
.	8	7.1%
:	1	0.9%

Decimal Number

Value	Count	Frequency (%)
6	1	33.3%
5	1	33.3%
3	1	33.3%

Space Separator

Value	Count	Frequency (%)
	1290	99.9%
	1	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	65	98.5%
–	1	1.5%

Math Symbol

Value	Count	Frequency (%)
+	7	87.5%
>	1	12.5%

Open Punctuation

Value	Count	Frequency (%)
(	16	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15231	91.0%
Common	1512	9.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2598	17.1%
r	1218	8.0%
l	1071	7.0%
o	1068	7.0%
t	1006	6.6%
a	922	6.1%
n	826	5.4%
i	669	4.4%
d	590	3.9%
p	543	3.6%
Other values (42)	4720	31.0%

Common

Value	Count	Frequency (%)
	1290	85.3%
-	65	4.3%
/	50	3.3%
,	39	2.6%
(	16	1.1%
)	16	1.1%
&	14	0.9%
.	8	0.5%
+	7	0.5%
6	1	0.1%
Other values (6)	6	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16675	99.6%
None	67	0.4%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2598	15.6%
	1290	7.7%
r	1218	7.3%
l	1071	6.4%
o	1068	6.4%
t	1006	6.0%
a	922	5.5%
n	826	5.0%
i	669	4.0%
d	590	3.5%
Other values (54)	5417	32.5%

None

Value	Count	Frequency (%)
ä	55	82.1%
ö	11	16.4%
	1	1.5%

Punctuation

Value	Count	Frequency (%)
–	1	100.0%

Kuukausipalkka
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	294
Distinct (%)	35.4%
Missing	120
Missing (%)	12.6%
Infinite	0
Infinite (%)	0.0%
Mean	5501.8336

Minimum	0
Maximum	13750
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	3025
Q1	4300
median	5300
Q3	6456
95-th percentile	8500
Maximum	13750
Range	13750
Interquartile range (IQR)	2156

Descriptive statistics

Standard deviation	1792.8271
Coefficient of variation (CV)	0.32585992
Kurtosis	2.6959604
Mean	5501.8336
Median Absolute Deviation (MAD)	1000
Skewness	1.0611214
Sum	4572023.8
Variance	3214228.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6000	33	3.5%
7000	29	3.0%
4500	28	2.9%
6500	28	2.9%
5500	23	2.4%
5000	23	2.4%
5300	18	1.9%
4200	16	1.7%
5700	16	1.7%
4000	16	1.7%
Other values (284)	601	63.2%
(Missing)	120	12.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
1125	1	0.1%
1179	1	0.1%
1200	1	0.1%
1240	1	0.1%
1800	1	0.1%
2000	3	0.3%
2200	1	0.1%
2340	1	0.1%
2400	2	0.2%

Value	Count	Frequency (%)
13750	1	0.1%
13390	1	0.1%
13333	1	0.1%
13300	1	0.1%
12500	1	0.1%
12100	1	0.1%
12000	1	0.1%
11900	1	0.1%
11300	1	0.1%
11250	1	0.1%

Vuositulot
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	315
Distinct (%)	38.0%
Missing	122
Missing (%)	12.8%
Infinite	0
Infinite (%)	0.0%
Mean	67857.283

Minimum	0
Maximum	300000
Zeros	14
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	13425
Q1	52500
median	66000
Q3	81250
95-th percentile	115600
Maximum	300000
Range	300000
Interquartile range (IQR)	28750

Descriptive statistics

Standard deviation	31379.848
Coefficient of variation (CV)	0.46243891
Kurtosis	8.4838157
Mean	67857.283
Median Absolute Deviation (MAD)	14000
Skewness	1.5057686
Sum	56253688
Variance	9.8469486 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70000	25	2.6%
60000	23	2.4%
65000	22	2.3%
100000	22	2.3%
75000	21	2.2%
72000	20	2.1%
55000	17	1.8%
80000	16	1.7%
54000	14	1.5%
0	14	1.5%
Other values (305)	635	66.8%
(Missing)	122	12.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	1.5%
500	3	0.3%
1000	4	0.4%
1020	1	0.1%
1500	3	0.3%
2000	2	0.2%
2500	1	0.1%
3600	1	0.1%
3700	2	0.2%
4100	1	0.1%

Value	Count	Frequency (%)
300000	1	0.1%
270000	1	0.1%
250000	1	0.1%
210000	2	0.2%
199000	1	0.1%
198000	1	0.1%
180000	1	0.1%
168714	1	0.1%
160000	3	0.3%
155000	1	0.1%

Vapaa kuvaus kokonaiskompensaatiomallista
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	659
Missing (%)	69.3%
Memory size	14.9 KiB

Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	8.5 KiB

Kyllä	544
Ei	211
Muu	196

Length

Max length	5
Median length	5
Mean length	3.9221872
Min length	2

Characters and Unicode

Total characters	3730
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

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	Muu
4th row	Kyllä
5th row	Muu

Common Values

Value	Count	Frequency (%)
Kyllä	544	57.2%
Ei	211	22.2%
Muu	196	20.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kyllä	544	57.2%
ei	211	22.2%
muu	196	20.6%

Most occurring characters

Value	Count	Frequency (%)
l	1088	29.2%
K	544	14.6%
y	544	14.6%
ä	544	14.6%
u	392	10.5%
E	211	5.7%
i	211	5.7%
M	196	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2779	74.5%
Uppercase Letter	951	25.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	1088	39.2%
y	544	19.6%
ä	544	19.6%
u	392	14.1%
i	211	7.6%

Uppercase Letter

Value	Count	Frequency (%)
K	544	57.2%
E	211	22.2%
M	196	20.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3730	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	1088	29.2%
K	544	14.6%
y	544	14.6%
ä	544	14.6%
u	392	10.5%
E	211	5.7%
i	211	5.7%
M	196	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3186	85.4%
None	544	14.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	1088	34.1%
K	544	17.1%
y	544	17.1%
u	392	12.3%
E	211	6.6%
i	211	6.6%
M	196	6.2%

None

Value	Count	Frequency (%)
ä	544	100.0%

Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen? (muut vastaukset)
Text

MISSING

Distinct	47
Distinct (%)	90.4%
Missing	899
Missing (%)	94.5%
Memory size	14.9 KiB

Length

Max length	211
Median length	73.5
Mean length	54.692308
Min length	3

Characters and Unicode

Total characters	2844
Distinct characters	58
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	42 ?
Unique (%)	80.8%

Sample

1st row	En tiedä
2nd row	Maksaa paremmin kuin moni muu, mutta osa kilpailijoista maksaa vielä enemmän
3rd row	EOS
4th row	yrityksen sisällä ei ole kilpailukykyinen. Samoja tehtäviä tekevät kollegat ansaitsevat enemmän
5th row	Kompensaatio kilpailijoihin kilpailukykyinen, mutta inflaatiotarkistuksia ei ole vielä implementoitu täysimääräisesti. Myös firman sisällä eurooppalaisen etäduunarin liksa on halvemmasta päästä.

Value	Count	Frequency (%)
ei	14	3.6%
en	13	3.3%
mutta	10	2.5%
enemmän	10	2.5%
on	8	2.0%
ole	7	1.8%
palkka	6	1.5%
i	5	1.3%
kilpailukykyinen	5	1.3%
saisin	5	1.3%
Other values (241)	311	78.9%

Most occurring characters

Value	Count	Frequency (%)
	343	12.1%
a	327	11.5%
i	242	8.5%
s	196	6.9%
e	194	6.8%
n	182	6.4%
t	174	6.1%
o	149	5.2%
l	144	5.1%
k	130	4.6%
Other values (48)	763	26.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2359	82.9%
Space Separator	343	12.1%
Uppercase Letter	64	2.3%
Other Punctuation	50	1.8%
Decimal Number	19	0.7%
Currency Symbol	3	0.1%
Close Punctuation	2	0.1%
Open Punctuation	2	0.1%
Dash Punctuation	1	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	327	13.9%
i	242	10.3%
s	196	8.3%
e	194	8.2%
n	182	7.7%
t	174	7.4%
o	149	6.3%
l	144	6.1%
k	130	5.5%
m	104	4.4%
Other values (15)	517	21.9%

Uppercase Letter

Value	Count	Frequency (%)
E	14	21.9%
S	14	21.9%
K	7	10.9%
I	7	10.9%
P	5	7.8%
T	4	6.2%
M	3	4.7%
V	2	3.1%
D	2	3.1%
J	1	1.6%
Other values (5)	5	7.8%

Decimal Number

Value	Count	Frequency (%)
0	9	47.4%
1	3	15.8%
7	2	10.5%
2	2	10.5%
3	1	5.3%
4	1	5.3%
5	1	5.3%

Other Punctuation

Value	Count	Frequency (%)
,	21	42.0%
.	18	36.0%
'	7	14.0%
/	3	6.0%
%	1	2.0%

Space Separator

Value	Count	Frequency (%)
	343	100.0%

Currency Symbol

Value	Count	Frequency (%)
€	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2423	85.2%
Common	421	14.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	327	13.5%
i	242	10.0%
s	196	8.1%
e	194	8.0%
n	182	7.5%
t	174	7.2%
o	149	6.1%
l	144	5.9%
k	130	5.4%
m	104	4.3%
Other values (30)	581	24.0%

Common

Value	Count	Frequency (%)
	343	81.5%
,	21	5.0%
.	18	4.3%
0	9	2.1%
'	7	1.7%
1	3	0.7%
€	3	0.7%
/	3	0.7%
)	2	0.5%
7	2	0.5%
Other values (8)	10	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2758	97.0%
None	83	2.9%
Currency Symbols	3	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	343	12.4%
a	327	11.9%
i	242	8.8%
s	196	7.1%
e	194	7.0%
n	182	6.6%
t	174	6.3%
o	149	5.4%
l	144	5.2%
k	130	4.7%
Other values (45)	677	24.5%

None

Value	Count	Frequency (%)
ä	77	92.8%
ö	6	7.2%

Currency Symbols

Value	Count	Frequency (%)
€	3	100.0%

Vapaa sana
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	899
Missing (%)	94.5%
Memory size	14.9 KiB

Palautetta kyselystä ja ideoita ensi vuoden kyselyyn
Text

MISSING

Distinct	45
Distinct (%)	100.0%
Missing	906
Missing (%)	95.3%
Memory size	14.9 KiB

Length

Max length	587
Median length	98
Mean length	127.86667
Min length	1

Characters and Unicode

Total characters	5754
Distinct characters	71
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

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

Unique

Unique	45 ?
Unique (%)	100.0%

Sample

1st row	Kiinnostaisi nähdä miten eri teknologioiden kanssa puuhastelu vaikuttaa palkkaan
2nd row	Vuoden odotetuin ja tärkein kysely! Uskon että tästä on konkreettista hyötyä IT alan työntekijöille
3rd row	Kiitos!
4th row	Yrityksen koko olisi kiinnostava tieto myös
5th row	Laskuttaja ja työntekijä vaihtoehdot ei soveltunut koodaavalle softayrittäjälle.

Value	Count	Frequency (%)
ja	15	2.1%
on	15	2.1%
voisi	11	1.5%
the	8	1.1%
hyvä	8	1.1%
että	7	1.0%
ei	6	0.8%
olisi	6	0.8%
jos	5	0.7%
to	5	0.7%
Other values (517)	637	88.1%

Most occurring characters

Value	Count	Frequency (%)
	678	11.8%
a	574	10.0%
i	497	8.6%
t	469	8.2%
s	384	6.7%
e	361	6.3%
n	344	6.0%
o	296	5.1%
k	273	4.7%
l	262	4.6%
Other values (61)	1616	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4802	83.5%
Space Separator	678	11.8%
Other Punctuation	141	2.5%
Uppercase Letter	92	1.6%
Dash Punctuation	12	0.2%
Close Punctuation	7	0.1%
Open Punctuation	7	0.1%
Final Punctuation	4	0.1%
Decimal Number	4	0.1%
Math Symbol	3	0.1%
Other values (2)	4	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	574	12.0%
i	497	10.3%
t	469	9.8%
s	384	8.0%
e	361	7.5%
n	344	7.2%
o	296	6.2%
k	273	5.7%
l	262	5.5%
ä	201	4.2%
Other values (17)	1141	23.8%

Uppercase Letter

Value	Count	Frequency (%)
H	9	9.8%
K	8	8.7%
I	7	7.6%
S	7	7.6%
A	6	6.5%
V	6	6.5%
E	6	6.5%
O	5	5.4%
M	5	5.4%
T	5	5.4%
Other values (14)	28	30.4%

Other Punctuation

Value	Count	Frequency (%)
,	49	34.8%
.	38	27.0%
!	16	11.3%
"	12	8.5%
?	9	6.4%
/	8	5.7%
:	5	3.5%
'	2	1.4%
%	1	0.7%
…	1	0.7%

Decimal Number

Value	Count	Frequency (%)
5	2	50.0%
0	2	50.0%

Space Separator

Value	Count	Frequency (%)
	678	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Final Punctuation

Value	Count	Frequency (%)
”	4	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Control

Value	Count	Frequency (%)
	3	100.0%

Currency Symbol

Value	Count	Frequency (%)
€	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4894	85.1%
Common	860	14.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	574	11.7%
i	497	10.2%
t	469	9.6%
s	384	7.8%
e	361	7.4%
n	344	7.0%
o	296	6.0%
k	273	5.6%
l	262	5.4%
ä	201	4.1%
Other values (41)	1233	25.2%

Common

Value	Count	Frequency (%)
	678	78.8%
,	49	5.7%
.	38	4.4%
!	16	1.9%
"	12	1.4%
-	12	1.4%
?	9	1.0%
/	8	0.9%
)	7	0.8%
(	7	0.8%
Other values (10)	24	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5519	95.9%
None	229	4.0%
Punctuation	5	0.1%
Currency Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	678	12.3%
a	574	10.4%
i	497	9.0%
t	469	8.5%
s	384	7.0%
e	361	6.5%
n	344	6.2%
o	296	5.4%
k	273	4.9%
l	262	4.7%
Other values (55)	1381	25.0%

None

Value	Count	Frequency (%)
ä	201	87.8%
ö	27	11.8%
Ä	1	0.4%

Punctuation

Value	Count	Frequency (%)
”	4	80.0%
…	1	20.0%

Currency Symbols

Value	Count	Frequency (%)
€	1	100.0%

Vastauskieli
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.5 KiB

fi	893
en	58

Length

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

Characters and Unicode

Total characters	1902
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	893	93.9%
en	58	6.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fi	893	93.9%
en	58	6.1%

Most occurring characters

Value	Count	Frequency (%)
f	893	47.0%
i	893	47.0%
e	58	3.0%
n	58	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1902	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	893	47.0%
i	893	47.0%
e	58	3.0%
n	58	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1902	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	893	47.0%
i	893	47.0%
e	58	3.0%
n	58	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1902	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	893	47.0%
i	893	47.0%
e	58	3.0%
n	58	3.0%

Rooli (normalisoitu)
Text

Distinct	356
Distinct (%)	37.4%
Missing	0
Missing (%)	0.0%
Memory size	14.9 KiB

Length

Max length	168
Median length	96
Mean length	17.62776
Min length	0

Characters and Unicode

Total characters	16764
Distinct characters	69
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	292 ?
Unique (%)	30.7%

Sample

1st row	*Full-stack Developer
2nd row	*Full-stack Developer
3rd row
4th row	*Full-stack Developer
5th row

Value	Count	Frequency (%)
developer	445	22.5%
software	176	8.9%
full-stack	160	8.1%
senior	121	6.1%
engineer	121	6.1%
lead	71	3.6%
	49	2.5%
frontend	47	2.4%
architect	46	2.3%
devops	38	1.9%
Other values (248)	702	35.5%

Most occurring characters

Value	Count	Frequency (%)
e	2583	15.4%
r	1197	7.1%
	1191	7.1%
l	1080	6.4%
o	1057	6.3%
t	978	5.8%
a	896	5.3%
n	826	4.9%
i	664	4.0%
p	551	3.3%
Other values (59)	5741	34.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13510	80.6%
Uppercase Letter	1530	9.1%
Space Separator	1192	7.1%
Other Punctuation	307	1.8%
Dash Punctuation	182	1.1%
Close Punctuation	16	0.1%
Open Punctuation	16	0.1%
Math Symbol	8	< 0.1%
Decimal Number	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2583	19.1%
r	1197	8.9%
l	1080	8.0%
o	1057	7.8%
t	978	7.2%
a	896	6.6%
n	826	6.1%
i	664	4.9%
p	551	4.1%
v	534	4.0%
Other values (17)	3144	23.3%

Uppercase Letter

Value	Count	Frequency (%)
S	361	23.6%
D	350	22.9%
F	234	15.3%
E	101	6.6%
C	63	4.1%
A	59	3.9%
O	59	3.9%
L	55	3.6%
T	44	2.9%
P	43	2.8%
Other values (15)	161	10.5%

Other Punctuation

Value	Count	Frequency (%)
*	197	64.2%
/	50	16.3%
,	37	12.1%
&	14	4.6%
.	8	2.6%
:	1	0.3%

Decimal Number

Value	Count	Frequency (%)
3	1	33.3%
6	1	33.3%
5	1	33.3%

Space Separator

Value	Count	Frequency (%)
	1191	99.9%
	1	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	181	99.5%
–	1	0.5%

Math Symbol

Value	Count	Frequency (%)
+	7	87.5%
>	1	12.5%

Close Punctuation

Value	Count	Frequency (%)
)	16	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15040	89.7%
Common	1724	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2583	17.2%
r	1197	8.0%
l	1080	7.2%
o	1057	7.0%
t	978	6.5%
a	896	6.0%
n	826	5.5%
i	664	4.4%
p	551	3.7%
v	534	3.6%
Other values (42)	4674	31.1%

Common

Value	Count	Frequency (%)
	1191	69.1%
*	197	11.4%
-	181	10.5%
/	50	2.9%
,	37	2.1%
)	16	0.9%
(	16	0.9%
&	14	0.8%
.	8	0.5%
+	7	0.4%
Other values (7)	7	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16696	99.6%
None	67	0.4%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2583	15.5%
r	1197	7.2%
	1191	7.1%
l	1080	6.5%
o	1057	6.3%
t	978	5.9%
a	896	5.4%
n	826	4.9%
i	664	4.0%
p	551	3.3%
Other values (55)	5673	34.0%

None

Value	Count	Frequency (%)
ä	55	82.1%
ö	11	16.4%
	1	1.5%

Punctuation

Value	Count	Frequency (%)
–	1	100.0%

Kk-tulot (laskennallinen)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	315
Distinct (%)	38.0%
Missing	122
Missing (%)	12.8%
Infinite	0
Infinite (%)	0.0%
Mean	5654.7736

Minimum	0
Maximum	25000
Zeros	14
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1118.75
Q1	4375
median	5500
Q3	6770.8333
95-th percentile	9633.3333
Maximum	25000
Range	25000
Interquartile range (IQR)	2395.8333

Descriptive statistics

Standard deviation	2614.9873
Coefficient of variation (CV)	0.46243891
Kurtosis	8.4838157
Mean	5654.7736
Median Absolute Deviation (MAD)	1166.6667
Skewness	1.5057686
Sum	4687807.3
Variance	6838158.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5833.333333	25	2.6%
5000	23	2.4%
5416.666667	22	2.3%
8333.333333	22	2.3%
6250	21	2.2%
6000	20	2.1%
4583.333333	17	1.8%
6666.666667	16	1.7%
4500	14	1.5%
0	14	1.5%
Other values (305)	635	66.8%
(Missing)	122	12.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	1.5%
41.66666667	3	0.3%
83.33333333	4	0.4%
85	1	0.1%
125	3	0.3%
166.6666667	2	0.2%
208.3333333	1	0.1%
300	1	0.1%
308.3333333	2	0.2%
341.6666667	1	0.1%

Value	Count	Frequency (%)
25000	1	0.1%
22500	1	0.1%
20833.33333	1	0.1%
17500	2	0.2%
16583.33333	1	0.1%
16500	1	0.1%
15000	1	0.1%
14059.5	1	0.1%
13333.33333	3	0.3%
12916.66667	1	0.1%

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

HIGH CORRELATION MISSING ZEROS

Distinct	344
Distinct (%)	41.6%
Missing	124
Missing (%)	13.0%
Infinite	0
Infinite (%)	0.0%
Mean	5844.8016

Minimum	0
Maximum	28125
Zeros	14
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	14.9 KiB

Quantile statistics

Minimum	0
5-th percentile	937.5
Q1	4465.4762
median	5583.3333
Q3	6833.3333
95-th percentile	10291.667
Maximum	28125
Range	28125
Interquartile range (IQR)	2367.8571

Descriptive statistics

Standard deviation	2885.8257
Coefficient of variation (CV)	0.49374229
Kurtosis	10.618585
Mean	5844.8016
Median Absolute Deviation (MAD)	1187.5
Skewness	1.9938203
Sum	4833650.9
Variance	8327990.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5833.333333	24	2.5%
5000	22	2.3%
5416.666667	22	2.3%
6250	21	2.2%
8333.333333	20	2.1%
4583.333333	17	1.8%
6000	17	1.8%
6666.666667	16	1.7%
0	14	1.5%
7500	12	1.3%
Other values (334)	642	67.5%
(Missing)	124	13.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	1.5%
41.66666667	3	0.3%
83.33333333	4	0.4%
85	1	0.1%
125	2	0.2%
138.8888889	1	0.1%
166.6666667	2	0.2%
208.3333333	1	0.1%
300	1	0.1%
308.3333333	2	0.2%

Value	Count	Frequency (%)
28125	1	0.1%
25000	1	0.1%
22500	1	0.1%
20833.33333	1	0.1%
19555.55556	1	0.1%
19444.44444	1	0.1%
17500	2	0.2%
16583.33333	1	0.1%
16500	1	0.1%
16000	1	0.1%

Auto

Heatmap
Table

	Työkokemus alalta (vuosina)	Tulojen muutos viime vuodesta (%)	Montako vuotta olet tehnyt laskuttavaa työtä alalla?	Tuntilaskutus (ALV 0%, euroina)	Vuosilaskutus (ALV 0%, euroina)	Työaika	Kuinka suuren osan ajasta teet lähityönä toimistolla?	Kuukausipalkka	Vuositulot	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)	Palkansaaja vai laskuttaja	Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2022 jälkeen?	Ikä	Sukupuoli	Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	Mistä asiakkaat ovat?	Kaupunki	Millaisessa yrityksessä työskentelet?	Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	Vastauskieli
Työkokemus alalta (vuosina)	1.000	-0.231	0.201	0.082	0.066	0.095	0.000	0.572	0.517	0.517	0.502	0.170	0.104	0.387	0.179	0.000	0.000	0.000	0.000	0.074	0.008
Tulojen muutos viime vuodesta (%)	-0.231	1.000	-0.169	0.097	0.073	-0.027	0.040	0.027	0.039	0.039	0.051	0.000	0.173	0.000	0.000	0.000	0.000	0.036	0.162	0.000	0.000
Montako vuotta olet tehnyt laskuttavaa työtä alalla?	0.201	-0.169	1.000	0.203	0.088	NaN	NaN	NaN	NaN	NaN	NaN	1.000	0.454	0.306	0.125	0.085	0.000	0.000	0.000	1.000	0.080
Tuntilaskutus (ALV 0%, euroina)	0.082	0.097	0.203	1.000	0.528	NaN	NaN	NaN	NaN	NaN	NaN	1.000	0.156	0.380	0.560	0.449	0.000	0.000	0.000	1.000	0.660
Vuosilaskutus (ALV 0%, euroina)	0.066	0.073	0.088	0.528	1.000	NaN	NaN	NaN	NaN	NaN	NaN	1.000	0.000	0.116	0.319	0.289	0.429	0.000	0.000	1.000	0.489
Työaika	0.095	-0.027	NaN	NaN	NaN	1.000	-0.038	0.210	0.177	0.177	-0.037	1.000	0.000	0.000	0.000	0.000	0.000	0.596	0.000	0.017	0.000
Kuinka suuren osan ajasta teet lähityönä toimistolla?	0.000	0.040	NaN	NaN	NaN	-0.038	1.000	-0.058	-0.040	-0.040	-0.036	1.000	0.077	0.011	0.000	0.000	0.000	0.000	0.000	0.042	0.000
Kuukausipalkka	0.572	0.027	NaN	NaN	NaN	0.210	-0.058	1.000	0.884	0.884	0.834	1.000	0.040	0.188	0.163	0.000	0.000	0.303	0.162	0.268	0.106
Vuositulot	0.517	0.039	NaN	NaN	NaN	0.177	-0.040	0.884	1.000	1.000	0.955	1.000	0.080	0.139	0.109	0.000	0.000	0.441	0.106	0.244	0.097
Kk-tulot (laskennallinen)	0.517	0.039	NaN	NaN	NaN	0.177	-0.040	0.884	1.000	1.000	0.955	1.000	0.080	0.139	0.109	0.000	0.000	0.441	0.106	0.244	0.097
Kk-tulot (laskennallinen, normalisoitu)	0.502	0.051	NaN	NaN	NaN	-0.037	-0.036	0.834	0.955	0.955	1.000	1.000	0.000	0.116	0.156	0.000	0.000	0.503	0.063	0.250	0.114
Palkansaaja vai laskuttaja	0.170	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.463	0.024	0.086	1.000	1.000	1.000	1.000	0.734	0.014
Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2022 jälkeen?	0.104	0.173	0.454	0.156	0.000	0.000	0.077	0.040	0.080	0.080	0.000	0.463	1.000	0.088	0.000	0.212	0.222	0.000	0.188	0.236	0.000
Ikä	0.387	0.000	0.306	0.380	0.116	0.000	0.011	0.188	0.139	0.139	0.116	0.024	0.088	1.000	0.000	0.280	0.098	0.000	0.224	0.046	0.058
Sukupuoli	0.179	0.000	0.125	0.560	0.319	0.000	0.000	0.163	0.109	0.109	0.156	0.086	0.000	0.000	1.000	0.000	0.000	0.000	0.058	0.068	0.093
Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?	0.000	0.000	0.085	0.449	0.289	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.212	0.280	0.000	1.000	0.533	0.000	0.000	1.000	0.965
Mistä asiakkaat ovat?	0.000	0.000	0.000	0.000	0.429	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.222	0.098	0.000	0.533	1.000	0.000	0.000	1.000	0.674
Kaupunki	0.000	0.036	0.000	0.000	0.000	0.596	0.000	0.303	0.441	0.441	0.503	1.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.170	0.160
Millaisessa yrityksessä työskentelet?	0.000	0.162	0.000	0.000	0.000	0.000	0.000	0.162	0.106	0.106	0.063	1.000	0.188	0.224	0.058	0.000	0.000	0.000	1.000	0.075	0.962
Onko palkkasi nykyroolissasi mielestäsi kilpailukykyinen?	0.074	0.000	1.000	1.000	1.000	0.017	0.042	0.268	0.244	0.244	0.250	0.734	0.236	0.046	0.068	1.000	1.000	0.170	0.075	1.000	0.000
Vastauskieli	0.008	0.000	0.080	0.660	0.489	0.000	0.000	0.106	0.097	0.097	0.114	0.014	0.000	0.058	0.093	0.965	0.674	0.160	0.962	0.000	1.000

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.

First rows
Last rows

	Timestamp	Palkansaaja vai laskuttaja	Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2022 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	Palautetta kyselystä ja ideoita ensi vuoden kyselyyn	Vastauskieli	Rooli (normalisoitu)	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)
1	2023-09-04 09:23:56.606	Palkansaaja	Ei	36-40	mies	13.0	Ammattikoulu	5.0	NaN	NaN	NaN	NaN	NaN	NaN	Mavericks	Turku	Konsulttitalossa	1.0	0.20	Full stack developer	8000.0	100000.0	Osa laskutuksesta	Kyllä	None	NaN	NaN	fi	*Full-stack Developer	8333.333333	8333.333333
2	2023-09-04 09:26:51.993	Palkansaaja	Ei	26-30	mies	9.0	Tietojenkäsittelyn tradenomi	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Turku	Konsulttitalossa	1.0	0.00	Full-stack Developer	7000.0	85000.0	NaN	Kyllä	None	NaN	NaN	fi	*Full-stack Developer	7083.333333	7083.333333
3	2023-09-04 09:27:26.367	Laskuttaja	palkansaaja → laskuttaja	31-35	mies	11.0	DI	NaN	0.5	Frontend	95.0	NaN	Itse	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Muu	NaN	NaN	NaN	fi		NaN	NaN
4	2023-09-04 09:28:10.769	Palkansaaja	Ei	31-35	mies	5.0	Filosofian kandidaatti, tietojenkäsittelytiede	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	1.0	0.35	Full-stack developer	5200.0	63000.0	NaN	Kyllä	None	NaN	NaN	fi	*Full-stack Developer	5250.000000	5250.000000
5	2023-09-04 09:28:56.952	Laskuttaja	Ei	36-40	mies	15.0	Melkein DI	0.0	2.0	Full-stack lead dev	NaN	150000.0	Itse	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Muu	NaN	NaN	NaN	fi		NaN	NaN
6	2023-09-04 09:29:09.717	Palkansaaja	Ei	41-45	mies	22.0	tradenomi	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	1.0	0.75	Lead Developer (fronttipainotus)	6300.0	80000.0	Ei muuta kuin palkka	Kyllä	None	NaN	NaN	fi	Lead Developer (fronttipainotus)	6666.666667	6666.666667
7	2023-09-04 09:29:34.963	Laskuttaja	Ei	31-35	mies	10.0	IT-tradenomi	10.0	2.0	Full-stack devausta	80.0	130000.0	Itse, Käytän välitysfirmoja	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Muu	NaN	NaN	NaN	fi		NaN	NaN
8	2023-09-04 09:29:45.706	Palkansaaja	Ei	21-25	mies	7.0	Amis	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Tuotetalossa, jonka core-bisnes on softa	1.0	0.10	Full-stack developer	4350.0	54375.0	Optiota	Kyllä	None	Työn vaativuuteen & vastuihin nähden palkkaus on hyvä vaikkakin euromääräisesti saisi muualta enemmän	NaN	fi	*Full-stack Developer	4531.250000	4531.250000
9	2023-09-04 09:30:01.402	Palkansaaja	Ei	21-25	mies	2.0	Tietotekniikan kandidaatin tutkinto	133.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Jyväskylä	Konsulttitalossa	1.0	0.80	Full Stack-kehittäjä	3000.0	37500.0	NaN	Kyllä	None	NaN	NaN	fi	Full Stack-kehittäjä	3125.000000	3125.000000
10	2023-09-04 09:30:36.236	Palkansaaja	Ei	31-35	mies	7.0	Amis + keskeytetty AMK	9.0	NaN	NaN	NaN	NaN	NaN	NaN	Gofore	Turku	Konsulttitalossa	1.0	0.10	Cloud Specialist	4600.0	57500.0	NaN	Ei	None	NaN	NaN	fi	Cloud Specialist	4791.666667	4791.666667

	Timestamp	Palkansaaja vai laskuttaja	Oletko siirtynyt palkansaajasta laskuttajaksi tai päinvastoin 1.10.2022 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	Palautetta kyselystä ja ideoita ensi vuoden kyselyyn	Vastauskieli	Rooli (normalisoitu)	Kk-tulot (laskennallinen)	Kk-tulot (laskennallinen, normalisoitu)
943	2023-09-22 07:37:56.656	Palkansaaja	Ei	36-40	nainen	12.0	Bachelor of engineering	7.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Consulting	1.0	0.10	Senior web developer, accessibility specialist	4400.0	53000.0	NaN	Muu	Don't know	NaN	NaN	en	Senior web developer, accessibility specialist	4416.666667	4416.666667
944	2023-09-22 08:23:41.855	Palkansaaja	Ei	36-40	nainen	9.0	PhD	13.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Consulting	0.8	0.60	Senior web developer, Techical competence manager	5200.0	67600.0	NaN	Ei	None	NaN	NaN	en	Senior web developer, Techical competence manager	5633.333333	7041.666667
945	2023-09-22 08:27:22.314	Palkansaaja	Ei	46-50	NaN	NaN	NaN	6.5	NaN	NaN	NaN	NaN	NaN	NaN	Exove	PK-seutu	Consulting	1.0	0.10	Senior developer	4920.0	62000.0	NaN	Muu	NaN	NaN	NaN	en	*Senior Developer	5166.666667	5166.666667
946	2023-09-22 08:31:34.030	Palkansaaja	Ei	26-30	nainen	7.0	Master of science in IT	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Oulu	Consulting	1.0	0.30	Full stack software developer	4900.0	62500.0	NaN	Kyllä	None	NaN	NaN	en	Full stack software developer	5208.333333	5208.333333
947	2023-09-22 08:33:02.297	Palkansaaja	Ei	26-30	mies	8.0	Vocational college + some university	8.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Oulu	Consulting	1.0	0.90	Senior Developer / Manager	5000.0	68000.0	NaN	Kyllä	None	NaN	NaN	en	Senior Developer / Manager	5666.666667	5666.666667
948	2023-09-22 10:58:37.431	Palkansaaja	Ei	26-30	mies	4.0	Bachelor's degree in media engineeering	19.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Consulting	1.0	0.60	Support Developer	3100.0	40000.0	NaN	Kyllä	None	NaN	NaN	en	Support Developer	3333.333333	3333.333333
949	2023-09-22 11:29:22.044	Palkansaaja	Ei	41-45	nainen	0.0	Trade School certificate in relevant industry, Bachelor degree in other discipline	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-seutu	Product company with software as their core business	1.0	0.60	Fullstack Web Developer	3000.0	NaN	NaN	Ei	None	NaN	NaN	en	*Full-stack Developer	NaN	NaN
950	2023-09-22 13:23:28.220	Palkansaaja	Ei	31-35	mies	8.0	Bachelor in IT	9.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Oulu	Consulting	1.0	0.05	Software Developer	4600.0	58000.0	Just the salary	Muu	I belive it's in the middle. I could probably earn a bit more, or a bit less elsewhere with the same salary model. Naturally it's not competitive wrt. provisiopalkka, but it's not really fair to compare the two.	NaN	NaN	en	Software Developer	4833.333333	4833.333333
951	2023-09-22 14:19:12.388	Palkansaaja	Ei	26-30	mies	4.0	Bachelor of engineering	0.0	NaN	NaN	NaN	NaN	NaN	NaN	Exove	PK-seutu	Product company with software as their core business	1.0	0.05	Support developer	3700.0	3700.0	100% salary	Kyllä	None	NaN	NaN	en	Support developer	308.333333	308.333333
952	2023-09-22 14:20:34.855	Laskuttaja	Ei	41-45	NaN	22.0	Industrial Engineering	NaN	5.0	Front end, back end, fullstack, web, mobile, Integrations, maintenance	0.0	0.0	Myself, Agencies	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Muu	NaN	NaN	NaN	en		NaN	NaN

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Arrows

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Dash Punctuation

Space Separator

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin