Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	684
Missing cells	6815
Missing cells (%)	41.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	111.6 KiB
Average record size in memory	167.1 B

Variable types

DateTime	1
Categorical	13
Numeric	8
Unsupported	1
Boolean	1

Alerts

`Palvelut` has a high cardinality: 52 distinct values	High cardinality
`Työpaikka` has a high cardinality: 89 distinct values	High cardinality
`Rooli` has a high cardinality: 270 distinct values	High cardinality
`Työkokemus` is highly correlated with `Kuukausipalkka` and 2 other fields	High correlation
`Tuntilaskutus (ALV 0%, euroina)` is highly correlated with `Vuosilaskutus (ALV 0%, euroina)`	High correlation
`Vuosilaskutus (ALV 0%, euroina)` is highly correlated with `Tuntilaskutus (ALV 0%, euroina)`	High correlation
`Kuukausipalkka` is highly correlated with `Vuositulot` and 1 other fields	High correlation
`Vuositulot` is highly correlated with `Kuukausipalkka` and 1 other fields	High correlation
`Kk-tulot` is highly correlated with `Kuukausipalkka` and 1 other fields	High correlation
`Sukupuoli` has 53 (7.7%) missing values	Missing
`Montako vuotta olet tehnyt laskuttavaa työtä alalla?` has 617 (90.2%) missing values	Missing
`Palvelut` has 618 (90.4%) missing values	Missing
`Tuntilaskutus (ALV 0%, euroina)` has 625 (91.4%) missing values	Missing
`Vuosilaskutus (ALV 0%, euroina)` has 622 (90.9%) missing values	Missing
`Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?` has 616 (90.1%) missing values	Missing
`Mistä asiakkaat ovat?` has 616 (90.1%) missing values	Missing
`Työpaikka` has 535 (78.2%) missing values	Missing
`Kaupunki` has 80 (11.7%) missing values	Missing
`Millaisessa yrityksessä työskentelet` has 75 (11.0%) missing values	Missing
`Työaika` has 72 (10.5%) missing values	Missing
`Rooli` has 90 (13.2%) missing values	Missing
`Etä` has 80 (11.7%) missing values	Missing
`Kuukausipalkka` has 77 (11.3%) missing values	Missing
`Vuositulot` has 79 (11.5%) missing values	Missing
`Vapaa kuvaus kokonaiskompensaatiomallista` has 498 (72.8%) missing values	Missing
`Kilpailukykyinen` has 80 (11.7%) missing values	Missing
`Vapaa sana` has 643 (94.0%) missing values	Missing
`Ideoita ensi vuoden kyselyyn` has 653 (95.5%) missing values	Missing
`Kk-tulot` has 79 (11.5%) missing values	Missing
`Vapaa sana` is uniformly distributed	Uniform
`Ideoita ensi vuoden kyselyyn` is uniformly distributed	Uniform
`Timestamp` has unique values	Unique
`Vapaa kuvaus kokonaiskompensaatiomallista` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Työkokemus` has 13 (1.9%) zeros	Zeros

Reproduction

Analysis started	2022-10-10 09:08:57.716318
Analysis finished	2022-10-10 09:09:07.984874
Duration	10.27 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

Timestamp
Date

UNIQUE

Distinct	684
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

Minimum	2022-09-26 16:35:50.002000
Maximum	2022-10-10 07:49:49.204000

Histogram

Histogram with fixed size bins (bins=50)

Oletko palkansaaja vai laskuttaja?
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

Palkansaaja	616
Laskuttaja	68

Length

Max length	11
Median length	11
Mean length	10.9005848
Min length	10

Characters and Unicode

Total characters	7456
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	Palkansaaja
4th row	Palkansaaja
5th row	Laskuttaja

Common Values

Value	Count	Frequency (%)
Palkansaaja	616	90.1%
Laskuttaja	68	9.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
palkansaaja	616	90.1%
laskuttaja	68	9.9%

Most occurring characters

Value	Count	Frequency (%)
a	3284	44.0%
k	684	9.2%
s	684	9.2%
j	684	9.2%
P	616	8.3%
l	616	8.3%
n	616	8.3%
t	136	1.8%
L	68	0.9%
u	68	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6772	90.8%
Uppercase Letter	684	9.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3284	48.5%
k	684	10.1%
s	684	10.1%
j	684	10.1%
l	616	9.1%
n	616	9.1%
t	136	2.0%
u	68	1.0%

Uppercase Letter

Value	Count	Frequency (%)
P	616	90.1%
L	68	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7456	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3284	44.0%
k	684	9.2%
s	684	9.2%
j	684	9.2%
P	616	8.3%
l	616	8.3%
n	616	8.3%
t	136	1.8%
L	68	0.9%
u	68	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7456	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3284	44.0%
k	684	9.2%
s	684	9.2%
j	684	9.2%
P	616	8.3%
l	616	8.3%
n	616	8.3%
t	136	1.8%
L	68	0.9%
u	68	0.9%

Ikä
Categorical

Distinct	8
Distinct (%)	1.2%
Missing	3
Missing (%)	0.4%
Memory size	1.1 KiB

33	202
38	196
28	135
43	93
48	25
Other values (3)	30

Length

Max length	6
Median length	2
Mean length	2.005873715
Min length	2

Characters and Unicode

Total characters	1366
Distinct characters	8
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	1 ?
Unique (%)	0.1%

Sample

1st row	33
2nd row	33
3rd row	33
4th row	38
5th row	28

Common Values

Value	Count	Frequency (%)
33	202	29.5%
38	196	28.7%
28	135	19.7%
43	93	13.6%
48	25	3.7%
23	24	3.5%
53	5	0.7%
> 55 v	1	0.1%
(Missing)	3	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
33	202	29.6%
38	196	28.7%
28	135	19.8%
43	93	13.6%
48	25	3.7%
23	24	3.5%
53	5	0.7%
	1	0.1%
55	1	0.1%
v	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
3	722	52.9%
8	356	26.1%
2	159	11.6%
4	118	8.6%
5	7	0.5%
	2	0.1%
>	1	0.1%
v	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1362	99.7%
Space Separator	2	0.1%
Math Symbol	1	0.1%
Lowercase Letter	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	722	53.0%
8	356	26.1%
2	159	11.7%
4	118	8.7%
5	7	0.5%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Math Symbol

Value	Count	Frequency (%)
>	1	100.0%

Lowercase Letter

Value	Count	Frequency (%)
v	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1365	99.9%
Latin	1	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	722	52.9%
8	356	26.1%
2	159	11.6%
4	118	8.6%
5	7	0.5%
	2	0.1%
>	1	0.1%

Latin

Value	Count	Frequency (%)
v	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1366	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	722	52.9%
8	356	26.1%
2	159	11.6%
4	118	8.6%
5	7	0.5%
	2	0.1%
>	1	0.1%
v	1	0.1%

Sukupuoli
Categorical

MISSING

Distinct	3
Distinct (%)	0.5%
Missing	53
Missing (%)	7.7%
Memory size	944.0 B

mies	548
nainen	72
muu	11

Length

Max length	6
Median length	4
Mean length	4.210776545
Min length	3

Characters and Unicode

Total characters	2657
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	548	80.1%
nainen	72	10.5%
muu	11	1.6%
(Missing)	53	7.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
mies	548	86.8%
nainen	72	11.4%
muu	11	1.7%

Most occurring characters

Value	Count	Frequency (%)
i	620	23.3%
e	620	23.3%
m	559	21.0%
s	548	20.6%
n	216	8.1%
a	72	2.7%
u	22	0.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2657	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	620	23.3%
e	620	23.3%
m	559	21.0%
s	548	20.6%
n	216	8.1%
a	72	2.7%
u	22	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2657	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	620	23.3%
e	620	23.3%
m	559	21.0%
s	548	20.6%
n	216	8.1%
a	72	2.7%
u	22	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2657	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	620	23.3%
e	620	23.3%
m	559	21.0%
s	548	20.6%
n	216	8.1%
a	72	2.7%
u	22	0.8%

Työkokemus
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	30
Distinct (%)	4.4%
Missing	4
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	10.2

Minimum	0
Maximum	31
Zeros	13
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	10
Q3	15
95-th percentile	22
Maximum	31
Range	31
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.165942852
Coefficient of variation (CV)	0.6045042012
Kurtosis	-0.2905675607
Mean	10.2
Median Absolute Deviation (MAD)	5
Skewness	0.5327745524
Sum	6936
Variance	38.01885125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
10	58	8.5%
5	54	7.9%
12	49	7.2%
15	49	7.2%
8	47	6.9%
7	43	6.3%
4	41	6.0%
6	35	5.1%
2	29	4.2%
14	26	3.8%
Other values (20)	249	36.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	1.9%
1	23	3.4%
2	29	4.2%
3	24	3.5%
4	41	6.0%
5	54	7.9%
6	35	5.1%
7	43	6.3%
8	47	6.9%
9	22	3.2%

Value	Count	Frequency (%)
31	1	0.1%
28	1	0.1%
27	1	0.1%
26	2	0.3%
25	8	1.2%
24	5	0.7%
23	9	1.3%
22	17	2.5%
21	4	0.6%
20	19	2.8%

Montako vuotta olet tehnyt laskuttavaa työtä alalla?
Real number (ℝ_≥0)

MISSING

Distinct	18
Distinct (%)	26.9%
Missing	617
Missing (%)	90.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.582089552

Minimum	0
Maximum	16
Zeros	3
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.5
Q1	1
median	2
Q3	4
95-th percentile	11.7
Maximum	16
Range	16
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.704621413
Coefficient of variation (CV)	1.034206811
Kurtosis	2.474208291
Mean	3.582089552
Median Absolute Deviation (MAD)	1
Skewness	1.731398046
Sum	240
Variance	13.72421981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
1	18	2.6%
2	11	1.6%
4	7	1.0%
3	6	0.9%
5	4	0.6%
0	3	0.4%
1.5	3	0.4%
8	3	0.4%
0.5	2	0.3%
10	2	0.3%
Other values (8)	8	1.2%
(Missing)	617	90.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	0.4%
0.5	2	0.3%
1	18	2.6%
1.5	3	0.4%
2	11	1.6%
2.5	1	0.1%
3	6	0.9%
4	7	1.0%
5	4	0.6%
6	1	0.1%

Value	Count	Frequency (%)
16	1	0.1%
15	1	0.1%
13	1	0.1%
12	1	0.1%
11	1	0.1%
10	2	0.3%
9	1	0.1%
8	3	0.4%
6	1	0.1%
5	4	0.6%

Palvelut
Categorical

HIGH CARDINALITY
MISSING

Distinct	52
Distinct (%)	78.8%
Missing	618
Missing (%)	90.4%
Memory size	5.5 KiB

Full stack	14
Softadevausta	2
Arkkitehti/projektipäällikkö	1
Softadevaus, data engineering	1
Backend devops	1
Other values (47)	47

Length

Max length	130
Median length	50
Mean length	27.60606061
Min length	3

Characters and Unicode

Total characters	1822
Distinct characters	53
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	50 ?
Unique (%)	75.8%

Sample

1st row	Data-analytiikka, Arkkitehtuuri, Data Engineering,
2nd row	Fullstack
3rd row	Full-stack developer ja arkkitehti
4th row	Full stack
5th row	Devausta ja projarointia

Common Values

Value	Count	Frequency (%)
Full stack	14	2.0%
Softadevausta	2	0.3%
Arkkitehti/projektipäällikkö	1	0.1%
Softadevaus, data engineering	1	0.1%
Backend devops	1	0.1%
Full stack web-ohjelmointia	1	0.1%
Full-stack, lead developer	1	0.1%
Frontend, full stack	1	0.1%
Team Lead, projekti- ja tuotekonsultointi	1	0.1%
Full stack web ja mobiili	1	0.1%
Other values (42)	42	6.1%
(Missing)	618	90.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
full	37	16.3%
stack	37	16.3%
ja	13	5.7%
devops	9	4.0%
backend	7	3.1%
arkkitehtuuria	6	2.6%
	6	2.6%
frontend	5	2.2%
softadevausta	5	2.2%
arkkitehtuuri	5	2.2%
Other values (73)	97	42.7%

Most occurring characters

Value	Count	Frequency (%)
a	175	9.6%
t	167	9.2%
	162	8.9%
l	127	7.0%
e	116	6.4%
k	109	6.0%
u	106	5.8%
s	100	5.5%
i	97	5.3%
o	67	3.7%
Other values (43)	596	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1502	82.4%
Space Separator	162	8.9%
Uppercase Letter	88	4.8%
Other Punctuation	58	3.2%
Dash Punctuation	8	0.4%
Decimal Number	1	0.1%
Open Punctuation	1	0.1%
Close Punctuation	1	0.1%
Math Symbol	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	175	11.7%
t	167	11.1%
l	127	8.5%
e	116	7.7%
k	109	7.3%
u	106	7.1%
s	100	6.7%
i	97	6.5%
o	67	4.5%
n	65	4.3%
Other values (17)	373	24.8%

Uppercase Letter

Value	Count	Frequency (%)
F	37	42.0%
S	10	11.4%
D	8	9.1%
B	6	6.8%
A	4	4.5%
C	4	4.5%
E	3	3.4%
O	3	3.4%
W	3	3.4%
T	3	3.4%
Other values (5)	7	8.0%

Other Punctuation

Value	Count	Frequency (%)
,	47	81.0%
.	4	6.9%
/	4	6.9%
&	2	3.4%
:	1	1.7%

Space Separator

Value	Count	Frequency (%)
	162	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Decimal Number

Value	Count	Frequency (%)
3	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1590	87.3%
Common	232	12.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	175	11.0%
t	167	10.5%
l	127	8.0%
e	116	7.3%
k	109	6.9%
u	106	6.7%
s	100	6.3%
i	97	6.1%
o	67	4.2%
n	65	4.1%
Other values (32)	461	29.0%

Common

Value	Count	Frequency (%)
	162	69.8%
,	47	20.3%
-	8	3.4%
.	4	1.7%
/	4	1.7%
&	2	0.9%
3	1	0.4%
(	1	0.4%
)	1	0.4%
+	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1799	98.7%
None	23	1.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	175	9.7%
t	167	9.3%
	162	9.0%
l	127	7.1%
e	116	6.4%
k	109	6.1%
u	106	5.9%
s	100	5.6%
i	97	5.4%
o	67	3.7%
Other values (41)	573	31.9%

None

Value	Count	Frequency (%)
ä	20	87.0%
ö	3	13.0%

Tuntilaskutus (ALV 0%, euroina)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	42.4%
Missing	625
Missing (%)	91.4%
Infinite	0
Infinite (%)	0.0%
Mean	93.5

Minimum	50
Maximum	170
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	50
5-th percentile	65
Q1	80
median	90
Q3	99.5
95-th percentile	132
Maximum	170
Range	120
Interquartile range (IQR)	19.5

Descriptive statistics

Standard deviation	21.63908501
Coefficient of variation (CV)	0.2314340643
Kurtosis	2.634267697
Mean	93.5
Median Absolute Deviation (MAD)	10
Skewness	1.312304188
Sum	5516.5
Variance	468.25
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
80	11	1.6%
90	10	1.5%
85	6	0.9%
120	5	0.7%
95	3	0.4%
105	2	0.3%
88	2	0.3%
150	2	0.3%
65	2	0.3%
98	1	0.1%
Other values (15)	15	2.2%
(Missing)	625	91.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	1	0.1%
60	1	0.1%
65	2	0.3%
70	1	0.1%
72	1	0.1%
76	1	0.1%
80	11	1.6%
84	1	0.1%
85	6	0.9%
86	1	0.1%

Value	Count	Frequency (%)
170	1	0.1%
150	2	0.3%
130	1	0.1%
120	5	0.7%
116	1	0.1%
110	1	0.1%
107.5	1	0.1%
105	2	0.3%
100	1	0.1%
99	1	0.1%

Vuosilaskutus (ALV 0%, euroina)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	54.8%
Missing	622
Missing (%)	90.9%
Infinite	0
Infinite (%)	0.0%
Mean	134460.1613

Minimum	0
Maximum	300000
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	32000
Q1	112500
median	138000
Q3	160000
95-th percentile	200000
Maximum	300000
Range	300000
Interquartile range (IQR)	47500

Descriptive statistics

Standard deviation	51161.92272
Coefficient of variation (CV)	0.3804987457
Kurtosis	2.057827297
Mean	134460.1613
Median Absolute Deviation (MAD)	22000
Skewness	-0.066051067
Sum	8336530
Variance	2617542336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
150000	5	0.7%
140000	5	0.7%
125000	4	0.6%
120000	4	0.6%
160000	4	0.6%
135000	4	0.6%
180000	3	0.4%
100000	2	0.3%
200000	2	0.3%
145000	2	0.3%
Other values (24)	27	3.9%
(Missing)	622	90.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
30	1	0.1%
29500	1	0.1%
30000	1	0.1%
70000	1	0.1%
75000	1	0.1%
80000	2	0.3%
84000	1	0.1%
93000	1	0.1%
95000	1	0.1%

Value	Count	Frequency (%)
300000	1	0.1%
236000	1	0.1%
230000	1	0.1%
200000	2	0.3%
190000	2	0.3%
180000	3	0.4%
170000	2	0.3%
166000	1	0.1%
160000	4	0.6%
155000	1	0.1%

Hankitko asiakkaasi itse suoraan vai käytätkö välitysfirmojen palveluita?
Categorical

MISSING

Distinct	5
Distinct (%)	7.4%
Missing	616
Missing (%)	90.1%
Memory size	5.5 KiB

Käytän välitysfirmoja	27
Itse	26
Itse, Käytän välitysfirmoja	13
Itse, Verkosto	1
Käytän välitysfirmoja, LinkedIn:istä tullut suoraan monta kyselyä, nykyinenkin projekti	1

Length

Max length	87
Median length	27
Mean length	16.51470588
Min length	4

Characters and Unicode

Total characters	1123
Distinct characters	26
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	2 ?
Unique (%)	2.9%

Sample

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

Common Values

Value	Count	Frequency (%)
Käytän välitysfirmoja	27	3.9%
Itse	26	3.8%
Itse, Käytän välitysfirmoja	13	1.9%
Itse, Verkosto	1	0.1%
Käytän välitysfirmoja, LinkedIn:istä tullut suoraan monta kyselyä, nykyinenkin projekti	1	0.1%
(Missing)	616	90.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
käytän	41	31.5%
välitysfirmoja	41	31.5%
itse	40	30.8%
verkosto	1	0.8%
linkedin:istä	1	0.8%
tullut	1	0.8%
suoraan	1	0.8%
monta	1	0.8%
kyselyä	1	0.8%
nykyinenkin	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
t	128	11.4%
ä	125	11.1%
i	87	7.7%
y	86	7.7%
s	85	7.6%
	62	5.5%
n	49	4.4%
o	46	4.1%
e	45	4.0%
a	44	3.9%
Other values (16)	366	32.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	960	85.5%
Uppercase Letter	84	7.5%
Space Separator	62	5.5%
Other Punctuation	17	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	128	13.3%
ä	125	13.0%
i	87	9.1%
y	86	9.0%
s	85	8.9%
n	49	5.1%
o	46	4.8%
e	45	4.7%
a	44	4.6%
l	44	4.6%
Other values (9)	221	23.0%

Uppercase Letter

Value	Count	Frequency (%)
I	41	48.8%
K	41	48.8%
V	1	1.2%
L	1	1.2%

Other Punctuation

Value	Count	Frequency (%)
,	16	94.1%
:	1	5.9%

Space Separator

Value	Count	Frequency (%)
	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1044	93.0%
Common	79	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	128	12.3%
ä	125	12.0%
i	87	8.3%
y	86	8.2%
s	85	8.1%
n	49	4.7%
o	46	4.4%
e	45	4.3%
a	44	4.2%
l	44	4.2%
Other values (13)	305	29.2%

Common

Value	Count	Frequency (%)
	62	78.5%
,	16	20.3%
:	1	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	998	88.9%
None	125	11.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	128	12.8%
i	87	8.7%
y	86	8.6%
s	85	8.5%
	62	6.2%
n	49	4.9%
o	46	4.6%
e	45	4.5%
a	44	4.4%
l	44	4.4%
Other values (15)	322	32.3%

None

Value	Count	Frequency (%)
ä	125	100.0%

Mistä asiakkaat ovat?
Categorical

MISSING

Distinct	3
Distinct (%)	4.4%
Missing	616
Missing (%)	90.1%
Memory size	5.5 KiB

Suomesta	45
Suomesta, Ulkomailta	12
Ulkomailta	11

Length

Max length	20
Median length	8
Mean length	10.44117647
Min length	8

Characters and Unicode

Total characters	710
Distinct characters	14
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	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
Suomesta	45	6.6%
Suomesta, Ulkomailta	12	1.8%
Ulkomailta	11	1.6%
(Missing)	616	90.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
suomesta	57	71.2%
ulkomailta	23	28.7%

Most occurring characters

Value	Count	Frequency (%)
a	103	14.5%
o	80	11.3%
m	80	11.3%
t	80	11.3%
S	57	8.0%
u	57	8.0%
e	57	8.0%
s	57	8.0%
l	46	6.5%
U	23	3.2%
Other values (4)	70	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	606	85.4%
Uppercase Letter	80	11.3%
Other Punctuation	12	1.7%
Space Separator	12	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	103	17.0%
o	80	13.2%
m	80	13.2%
t	80	13.2%
u	57	9.4%
e	57	9.4%
s	57	9.4%
l	46	7.6%
k	23	3.8%
i	23	3.8%

Uppercase Letter

Value	Count	Frequency (%)
S	57	71.2%
U	23	28.7%

Other Punctuation

Value	Count	Frequency (%)
,	12	100.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	686	96.6%
Common	24	3.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	103	15.0%
o	80	11.7%
m	80	11.7%
t	80	11.7%
S	57	8.3%
u	57	8.3%
e	57	8.3%
s	57	8.3%
l	46	6.7%
U	23	3.4%
Other values (2)	46	6.7%

Common

Value	Count	Frequency (%)
,	12	50.0%
	12	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	710	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	103	14.5%
o	80	11.3%
m	80	11.3%
t	80	11.3%
S	57	8.0%
u	57	8.0%
e	57	8.0%
s	57	8.0%
l	46	6.5%
U	23	3.2%
Other values (4)	70	9.9%

Työpaikka
Categorical

HIGH CARDINALITY
MISSING

Distinct	89
Distinct (%)	59.7%
Missing	535
Missing (%)	78.2%
Memory size	5.5 KiB

Reaktor	13
Vincit	10
Gofore	6
Mavericks	6
Fraktio	4
Other values (84)	110

Length

Max length	43
Median length	29
Mean length	9.181208054
Min length	1

Characters and Unicode

Total characters	1368
Distinct characters	57
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	69 ?
Unique (%)	46.3%

Sample

1st row	-
2nd row	Visma
3rd row	Talenom
4th row	Gofore
5th row	Vincit

Common Values

Value	Count	Frequency (%)
Reaktor	13	1.9%
Vincit	10	1.5%
Gofore	6	0.9%
Mavericks	6	0.9%
Fraktio	4	0.6%
Futurice	4	0.6%
Mehiläinen	4	0.6%
Wolt	4	0.6%
Exove	3	0.4%
Visma	3	0.4%
Other values (79)	92	13.5%
(Missing)	535	78.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
reaktor	13	6.8%
vincit	10	5.3%
mavericks	9	4.7%
siili	7	3.7%
gofore	6	3.2%
futurice	5	2.6%
fraktio	4	2.1%
mehiläinen	4	2.1%
wolt	4	2.1%
compile	3	1.6%
Other values (109)	125	65.8%

Most occurring characters

Value	Count	Frequency (%)
i	150	11.0%
e	115	8.4%
o	109	8.0%
t	98	7.2%
a	90	6.6%
r	75	5.5%
n	72	5.3%
l	65	4.8%
u	50	3.7%
k	47	3.4%
Other values (47)	497	36.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1130	82.6%
Uppercase Letter	184	13.5%
Space Separator	43	3.1%
Dash Punctuation	6	0.4%
Other Punctuation	3	0.2%
Decimal Number	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	150	13.3%
e	115	10.2%
o	109	9.6%
t	98	8.7%
a	90	8.0%
r	75	6.6%
n	72	6.4%
l	65	5.8%
u	50	4.4%
k	47	4.2%
Other values (18)	259	22.9%

Uppercase Letter

Value	Count	Frequency (%)
S	28	15.2%
M	20	10.9%
V	17	9.2%
F	16	8.7%
R	15	8.2%
G	11	6.0%
A	11	6.0%
C	10	5.4%
W	8	4.3%
H	6	3.3%
Other values (13)	42	22.8%

Other Punctuation

Value	Count	Frequency (%)
.	2	66.7%
,	1	33.3%

Decimal Number

Value	Count	Frequency (%)
1	1	50.0%
2	1	50.0%

Space Separator

Value	Count	Frequency (%)
	43	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1314	96.1%
Common	54	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	150	11.4%
e	115	8.8%
o	109	8.3%
t	98	7.5%
a	90	6.8%
r	75	5.7%
n	72	5.5%
l	65	4.9%
u	50	3.8%
k	47	3.6%
Other values (41)	443	33.7%

Common

Value	Count	Frequency (%)
	43	79.6%
-	6	11.1%
.	2	3.7%
1	1	1.9%
,	1	1.9%
2	1	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1360	99.4%
None	8	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	150	11.0%
e	115	8.5%
o	109	8.0%
t	98	7.2%
a	90	6.6%
r	75	5.5%
n	72	5.3%
l	65	4.8%
u	50	3.7%
k	47	3.5%
Other values (45)	489	36.0%

None

Value	Count	Frequency (%)
ä	5	62.5%
ö	3	37.5%

Kaupunki
Categorical

MISSING

Distinct	34
Distinct (%)	5.6%
Missing	80
Missing (%)	11.7%
Memory size	2.1 KiB

PK-Seutu	321
Tampere	122
Turku	67
Oulu	33
Jyväskylä	14
Other values (29)	47

Length

Max length	42
Median length	8
Mean length	7.364238411
Min length	2

Characters and Unicode

Total characters	4448
Distinct characters	44
Distinct categories	5 ?
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	22 ?
Unique (%)	3.6%

Sample

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

Common Values

Value	Count	Frequency (%)
PK-Seutu	321	46.9%
Tampere	122	17.8%
Turku	67	9.8%
Oulu	33	4.8%
Jyväskylä	14	2.0%
Vaasa	7	1.0%
Kuopio	4	0.6%
Pori	4	0.6%
Joensuu	3	0.4%
Lappeenranta	3	0.4%
Other values (24)	26	3.8%
(Missing)	80	11.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pk-seutu	321	52.1%
tampere	122	19.8%
turku	67	10.9%
oulu	33	5.4%
jyväskylä	14	2.3%
vaasa	7	1.1%
kuopio	4	0.6%
pori	4	0.6%
lappeenranta	3	0.5%
joensuu	3	0.5%
Other values (35)	38	6.2%

Most occurring characters

Value	Count	Frequency (%)
u	860	19.3%
e	592	13.3%
t	341	7.7%
K	331	7.4%
P	325	7.3%
S	325	7.3%
-	323	7.3%
r	205	4.6%
T	190	4.3%
a	184	4.1%
Other values (34)	772	17.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2850	64.1%
Uppercase Letter	1258	28.3%
Dash Punctuation	323	7.3%
Space Separator	12	0.3%
Other Punctuation	5	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	860	30.2%
e	592	20.8%
t	341	12.0%
r	205	7.2%
a	184	6.5%
p	139	4.9%
m	131	4.6%
k	89	3.1%
l	58	2.0%
ä	43	1.5%
Other values (14)	208	7.3%

Uppercase Letter

Value	Count	Frequency (%)
K	331	26.3%
P	325	25.8%
S	325	25.8%
T	190	15.1%
O	33	2.6%
J	20	1.6%
V	8	0.6%
L	7	0.6%
E	4	0.3%
H	3	0.2%
Other values (7)	12	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	323	100.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4108	92.4%
Common	340	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	860	20.9%
e	592	14.4%
t	341	8.3%
K	331	8.1%
P	325	7.9%
S	325	7.9%
r	205	5.0%
T	190	4.6%
a	184	4.5%
p	139	3.4%
Other values (31)	616	15.0%

Common

Value	Count	Frequency (%)
-	323	95.0%
	12	3.5%
,	5	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4401	98.9%
None	47	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	860	19.5%
e	592	13.5%
t	341	7.7%
K	331	7.5%
P	325	7.4%
S	325	7.4%
-	323	7.3%
r	205	4.7%
T	190	4.3%
a	184	4.2%
Other values (31)	725	16.5%

None

Value	Count	Frequency (%)
ä	43	91.5%
ü	2	4.3%
ö	2	4.3%

Millaisessa yrityksessä työskentelet
Categorical

MISSING

Distinct	13
Distinct (%)	2.1%
Missing	75
Missing (%)	11.0%
Memory size	5.5 KiB

Konsulttitalossa	290
Tuotetalossa, jonka core-bisnes on softa	178
Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	109
Julkinen tai kolmas sektori	23
Konsultointia ja omaa softaa	1
Other values (8)	8

Length

Max length	74
Median length	44
Mean length	34
Min length	10

Characters and Unicode

Total characters	20706
Distinct characters	40
Distinct categories	8 ?
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	9 ?
Unique (%)	1.5%

Sample

1st row	Konsulttitalossa
2nd row	Tuotetalossa, jonka core-bisnes on softa
3rd row	Tuotetalossa, jonka core-bisnes on softa
4th row	Konsulttitalossa
5th row	Konsulttitalossa

Common Values

Value	Count	Frequency (%)
Konsulttitalossa	290	42.4%
Tuotetalossa, jonka core-bisnes on softa	178	26.0%
Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	109	15.9%
Julkinen tai kolmas sektori	23	3.4%
Konsultointia ja omaa softaa	1	0.1%
Mainos/digitoimisto	1	0.1%
Konsulttitalossa ops-puolella	1	0.1%
Infrastruktuuri-/kapasiteettipalvelut	1	0.1%
Konsultointi + tuote hybridifirmassa	1	0.1%
Tuotetalo, core-bisnes fyysisissä tuotteissa	1	0.1%
Other values (3)	3	0.4%
(Missing)	75	11.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
konsulttitalossa	291	12.2%
on	287	12.0%
softa	287	12.0%
core-bisnes	179	7.5%
jonka	178	7.5%
tuotetalossa	178	7.5%
esim	109	4.6%
terveysala	109	4.6%
pankit	109	4.6%
yms	109	4.6%
Other values (27)	547	23.0%

Most occurring characters

Value	Count	Frequency (%)
s	2815	13.6%
o	2261	10.9%
t	2240	10.8%
a	2016	9.7%
	1775	8.6%
n	1206	5.8%
e	1143	5.5%
i	1107	5.3%
l	925	4.5%
u	613	3.0%
Other values (30)	4605	22.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17412	84.1%
Space Separator	1775	8.6%
Uppercase Letter	609	2.9%
Other Punctuation	509	2.5%
Dash Punctuation	182	0.9%
Close Punctuation	109	0.5%
Open Punctuation	109	0.5%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	2815	16.2%
o	2261	13.0%
t	2240	12.9%
a	2016	11.6%
n	1206	6.9%
e	1143	6.6%
i	1107	6.4%
l	925	5.3%
u	613	3.5%
k	579	3.3%
Other values (13)	2507	14.4%

Uppercase Letter

Value	Count	Frequency (%)
K	293	48.1%
T	179	29.4%
Y	109	17.9%
J	23	3.8%
M	1	0.2%
I	1	0.2%
U	1	0.2%
W	1	0.2%
P	1	0.2%

Other Punctuation

Value	Count	Frequency (%)
,	506	99.4%
/	2	0.4%
.	1	0.2%

Space Separator

Value	Count	Frequency (%)
	1775	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	182	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	109	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	109	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18021	87.0%
Common	2685	13.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	2815	15.6%
o	2261	12.5%
t	2240	12.4%
a	2016	11.2%
n	1206	6.7%
e	1143	6.3%
i	1107	6.1%
l	925	5.1%
u	613	3.4%
k	579	3.2%
Other values (22)	3116	17.3%

Common

Value	Count	Frequency (%)
	1775	66.1%
,	506	18.8%
-	182	6.8%
)	109	4.1%
(	109	4.1%
/	2	0.1%
+	1	< 0.1%
.	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20595	99.5%
None	111	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	2815	13.7%
o	2261	11.0%
t	2240	10.9%
a	2016	9.8%
	1775	8.6%
n	1206	5.9%
e	1143	5.5%
i	1107	5.4%
l	925	4.5%
u	613	3.0%
Other values (29)	4494	21.8%

None

Value	Count	Frequency (%)
ä	111	100.0%

Työaika
Real number (ℝ_≥0)

MISSING

Distinct	6
Distinct (%)	1.0%
Missing	72
Missing (%)	10.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.985130719

Minimum	0.4
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	0.4
5-th percentile	0.8
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	1
Range	0.6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.0654168247
Coefficient of variation (CV)	0.06640420752
Kurtosis	34.06705282
Mean	0.985130719
Median Absolute Deviation (MAD)	0
Skewness	-5.398413318
Sum	602.9
Variance	0.004279360953
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	575	84.1%
0.8	28	4.1%
0.6	4	0.6%
0.4	2	0.3%
0.9	2	0.3%
0.5	1	0.1%
(Missing)	72	10.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.4	2	0.3%
0.5	1	0.1%
0.6	4	0.6%
0.8	28	4.1%
0.9	2	0.3%
1	575	84.1%

Value	Count	Frequency (%)
1	575	84.1%
0.9	2	0.3%
0.8	28	4.1%
0.6	4	0.6%
0.5	1	0.1%
0.4	2	0.3%

Rooli
Categorical

HIGH CARDINALITY
MISSING

Distinct	270
Distinct (%)	45.5%
Missing	90
Missing (%)	13.2%
Memory size	5.5 KiB

Full-stack	88
Ohjelmistokehittäjä	61
Arkkitehti	28
Lead developer	12
Backend	12
Other values (265)	393

Length

Max length	98
Median length	62
Mean length	18.14141414
Min length	2

Characters and Unicode

Total characters	10776
Distinct characters	60
Distinct categories	8 ?
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	210 ?
Unique (%)	35.4%

Sample

1st row	Teknologiajohtaja
2nd row	Ohjelmistokehittäjä
3rd row	Full-stack-ohjelmistokehittäjä
4th row	Devaaja
5th row	Full-stack

Common Values

Value	Count	Frequency (%)
Full-stack	88	12.9%
Ohjelmistokehittäjä	61	8.9%
Arkkitehti	28	4.1%
Lead developer	12	1.8%
Backend	12	1.8%
Full-stack ohjelmistokehittäjä	10	1.5%
Frontend	9	1.3%
Ohjelmistokehittäjä (full-stack)	9	1.3%
Full-stack developer	9	1.3%
CTO	6	0.9%
Other values (260)	350	51.2%
(Missing)	90	13.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
full-stack	159	15.3%
ohjelmistokehittäjä	121	11.7%
developer	73	7.0%
engineer	47	4.5%
lead	39	3.8%
arkkitehti	37	3.6%
backend	36	3.5%
senior	34	3.3%
software	28	2.7%
frontend	25	2.4%
Other values (200)	438	42.2%

Most occurring characters

Value	Count	Frequency (%)
e	1113	10.3%
t	1042	9.7%
l	752	7.0%
i	738	6.8%
k	589	5.5%
a	588	5.5%
s	482	4.5%
	451	4.2%
o	445	4.1%
ä	382	3.5%
Other values (50)	4194	38.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9176	85.2%
Uppercase Letter	790	7.3%
Space Separator	451	4.2%
Dash Punctuation	210	1.9%
Other Punctuation	90	0.8%
Close Punctuation	26	0.2%
Open Punctuation	25	0.2%
Math Symbol	8	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1113	12.1%
t	1042	11.4%
l	752	8.2%
i	738	8.0%
k	589	6.4%
a	588	6.4%
s	482	5.3%
o	445	4.8%
ä	382	4.2%
n	376	4.1%
Other values (17)	2669	29.1%

Uppercase Letter

Value	Count	Frequency (%)
F	194	24.6%
O	142	18.0%
S	100	12.7%
D	71	9.0%
A	44	5.6%
E	44	5.6%
L	38	4.8%
T	32	4.1%
B	27	3.4%
P	23	2.9%
Other values (13)	75	9.5%

Other Punctuation

Value	Count	Frequency (%)
,	58	64.4%
/	27	30.0%
.	2	2.2%
&	2	2.2%
:	1	1.1%

Space Separator

Value	Count	Frequency (%)
	451	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	210	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	26	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	25	100.0%

Math Symbol

Value	Count	Frequency (%)
+	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9966	92.5%
Common	810	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1113	11.2%
t	1042	10.5%
l	752	7.5%
i	738	7.4%
k	589	5.9%
a	588	5.9%
s	482	4.8%
o	445	4.5%
ä	382	3.8%
n	376	3.8%
Other values (40)	3459	34.7%

Common

Value	Count	Frequency (%)
	451	55.7%
-	210	25.9%
,	58	7.2%
/	27	3.3%
)	26	3.2%
(	25	3.1%
+	8	1.0%
.	2	0.2%
&	2	0.2%
:	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10371	96.2%
None	405	3.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1113	10.7%
t	1042	10.0%
l	752	7.3%
i	738	7.1%
k	589	5.7%
a	588	5.7%
s	482	4.6%
	451	4.3%
o	445	4.3%
n	376	3.6%
Other values (48)	3795	36.6%

None

Value	Count	Frequency (%)
ä	382	94.3%
ö	23	5.7%

Etä
Categorical

MISSING

Distinct	3
Distinct (%)	0.5%
Missing	80
Missing (%)	11.7%
Memory size	944.0 B

Etä	343
50/50	185
Toimisto	76

Length

Max length	8
Median length	3
Mean length	4.241721854
Min length	3

Characters and Unicode

Total characters	2562
Distinct characters	11
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	50/50
2nd row	Etä
3rd row	50/50
4th row	50/50
5th row	Etä

Common Values

Value	Count	Frequency (%)
Etä	343	50.1%
50/50	185	27.0%
Toimisto	76	11.1%
(Missing)	80	11.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
etä	343	56.8%
50/50	185	30.6%
toimisto	76	12.6%

Most occurring characters

Value	Count	Frequency (%)
t	419	16.4%
5	370	14.4%
0	370	14.4%
E	343	13.4%
ä	343	13.4%
/	185	7.2%
o	152	5.9%
i	152	5.9%
T	76	3.0%
m	76	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1218	47.5%
Decimal Number	740	28.9%
Uppercase Letter	419	16.4%
Other Punctuation	185	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	419	34.4%
ä	343	28.2%
o	152	12.5%
i	152	12.5%
m	76	6.2%
s	76	6.2%

Decimal Number

Value	Count	Frequency (%)
5	370	50.0%
0	370	50.0%

Uppercase Letter

Value	Count	Frequency (%)
E	343	81.9%
T	76	18.1%

Other Punctuation

Value	Count	Frequency (%)
/	185	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1637	63.9%
Common	925	36.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	419	25.6%
E	343	21.0%
ä	343	21.0%
o	152	9.3%
i	152	9.3%
T	76	4.6%
m	76	4.6%
s	76	4.6%

Common

Value	Count	Frequency (%)
5	370	40.0%
0	370	40.0%
/	185	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2219	86.6%
None	343	13.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	419	18.9%
5	370	16.7%
0	370	16.7%
E	343	15.5%
/	185	8.3%
o	152	6.8%
i	152	6.8%
T	76	3.4%
m	76	3.4%
s	76	3.4%

None

Value	Count	Frequency (%)
ä	343	100.0%

Kuukausipalkka
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	198
Distinct (%)	32.6%
Missing	77
Missing (%)	11.3%
Infinite	0
Infinite (%)	0.0%
Mean	5325.574959

Minimum	1080
Maximum	22500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1080
5-th percentile	3000
Q1	4300
median	5100
Q3	6100
95-th percentile	8000
Maximum	22500
Range	21420
Interquartile range (IQR)	1800

Descriptive statistics

Standard deviation	1825.757921
Coefficient of variation (CV)	0.342828321
Kurtosis	14.9942356
Mean	5325.574959
Median Absolute Deviation (MAD)	900
Skewness	2.311007423
Sum	3232624
Variance	3333391.987
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	29	4.2%
5500	25	3.7%
4500	23	3.4%
6000	20	2.9%
6500	15	2.2%
4800	15	2.2%
4600	15	2.2%
4000	15	2.2%
5200	14	2.0%
5400	13	1.9%
Other values (188)	423	61.8%
(Missing)	77	11.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1080	1	0.1%
1200	1	0.1%
1660	1	0.1%
1760	1	0.1%
1880	1	0.1%
1903	1	0.1%
2000	3	0.4%
2200	1	0.1%
2300	2	0.3%
2341	1	0.1%

Value	Count	Frequency (%)
22500	1	0.1%
14000	1	0.1%
13333	1	0.1%
13000	1	0.1%
12900	1	0.1%
12500	1	0.1%
11250	1	0.1%
11200	1	0.1%
10500	2	0.3%
10000	5	0.7%

Vuositulot
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	233
Distinct (%)	38.5%
Missing	79
Missing (%)	11.5%
Infinite	0
Infinite (%)	0.0%
Mean	68104.9314

Minimum	0
Maximum	290000
Zeros	2
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	32500
Q1	53000
median	65000
Q3	79000
95-th percentile	108000
Maximum	290000
Range	290000
Interquartile range (IQR)	26000

Descriptive statistics

Standard deviation	28301.01439
Coefficient of variation (CV)	0.4155501489
Kurtosis	10.46651083
Mean	68104.9314
Median Absolute Deviation (MAD)	13000
Skewness	1.968967269
Sum	41203483.5
Variance	800947415.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	23	3.4%
70000	18	2.6%
50000	16	2.3%
62500	14	2.0%
80000	13	1.9%
75000	13	1.9%
65000	13	1.9%
100000	12	1.8%
55000	10	1.5%
57500	10	1.5%
Other values (223)	463	67.7%
(Missing)	79	11.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.3%
62.5	1	0.1%
500	1	0.1%
1000	1	0.1%
2000	1	0.1%
2500	1	0.1%
4000	1	0.1%
4800	1	0.1%
5000	1	0.1%
5062	1	0.1%

Value	Count	Frequency (%)
290000	1	0.1%
220000	1	0.1%
210000	1	0.1%
200000	2	0.3%
188000	1	0.1%
170000	1	0.1%
160000	2	0.3%
156000	1	0.1%
150000	2	0.3%
148000	1	0.1%

Vapaa kuvaus kokonaiskompensaatiomallista
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	498
Missing (%)	72.8%
Memory size	5.5 KiB

Kilpailukykyinen
Boolean

MISSING

Distinct	2
Distinct (%)	0.3%
Missing	80
Missing (%)	11.7%
Memory size	5.5 KiB

True	443
False	161
(Missing)	80

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	443	64.8%
False	161	23.5%
(Missing)	80	11.7%

Vapaa sana
Categorical

MISSING
UNIFORM

Distinct	41
Distinct (%)	100.0%
Missing	643
Missing (%)	94.0%
Memory size	5.5 KiB

Työsuhteessa ulkomaalaiseen firmaan, ainoastaan palkanmaksu menee oman firman kautta	1
kokemusta jo kolme viikkoa it alalta	1
Laskuttavan työn lisäksi teen tuotekehitystä omaan b2c SaaS-palveluun, josta maksan itselleni myös palkkaa.	1
tietyn palkkatason jälkeen työntekijät alkavat ottamaan enemmän lomaa ja vapaa-aika. Se on eri asia kuin 100% allokaatio työtä tehdessä ja vaikuttaa vuosituloihin. Pääomatulot työnantajan osakkeilla taas voivat usein olla kerta luontoisia, mutta tuoda paljonkin lisätuloja	1
Tällä hetkellä sopparit tehdään 1v kerrallaan. Firman muoto OY.	1
Other values (36)	36

Length

Max length	323
Median length	98
Mean length	111.5609756
Min length	2

Characters and Unicode

Total characters	4574
Distinct characters	68
Distinct categories	10 ?
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	41 ?
Unique (%)	100.0%

Sample

1st row	Lykkyä tykö vapaakenttien normalisointiin!
2nd row	Laskutan palkan firmani kautta
3rd row	Vastasin kyselyyn ns. päätyönantajani mukaan. Omaani vastaavissa tehtävissä suhteellisen usein saatetaan kuitenkin keikkailla startupeissa tms. osa-aikaisesti päätyön lisäksi. Kahden työpaikan ujuttaminen vastauksiin ei onnistunut.
4th row	Kunta TES == 38 kokonaista päivää vuodessa, työaika 7h15min/päivä
5th row	Olen tosiaan poikkeus siinä, että kirjoitan koodia töissä erittäin harvoin. Välillä jotain devops-tyylistä tulee harrastettu, mutta toistaiseksi harvemmin.

Common Values

Value	Count	Frequency (%)
Työsuhteessa ulkomaalaiseen firmaan, ainoastaan palkanmaksu menee oman firman kautta	1	0.1%
kokemusta jo kolme viikkoa it alalta	1	0.1%
Laskuttavan työn lisäksi teen tuotekehitystä omaan b2c SaaS-palveluun, josta maksan itselleni myös palkkaa.	1	0.1%
tietyn palkkatason jälkeen työntekijät alkavat ottamaan enemmän lomaa ja vapaa-aika. Se on eri asia kuin 100% allokaatio työtä tehdessä ja vaikuttaa vuosituloihin. Pääomatulot työnantajan osakkeilla taas voivat usein olla kerta luontoisia, mutta tuoda paljonkin lisätuloja	1	0.1%
Tällä hetkellä sopparit tehdään 1v kerrallaan. Firman muoto OY.	1	0.1%
Yrittäjähenkisessä työskentelyssä ei usein lasketa työtunteja. Siten esim. 90% työaika on aika näennäinen. Välillä tehdään kovempaa ja välillä rauhallisemmin.	1	0.1%
En oo ihan varma miten muut toisissa vastaavan kokoluokan yrityksissä saa palkkaa vastaavasta roolista.	1	0.1%
Koulu vielä kesken ja se vaikuttaa palkkaan	1	0.1%
Palkka ei ole kilpailukykyinen, jos mietin paljonko pyytäisin vastaavasta positiosta palkkaa muissa yrityksissä, mutta varsin tarpeeksi nykyisessä yrityksessä.	1	0.1%
Yritys Yhdysvalloista, kuten suurin osa tiimiäkin. Presenssi myös Suomessa	1	0.1%
Other values (31)	31	4.5%
(Missing)	643	94.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
on	15	2.6%
ja	12	2.1%
mutta	9	1.6%
ei	7	1.2%
myös	6	1.1%
enemmän	6	1.1%
palkkaa	6	1.1%
palkka	5	0.9%
että	5	0.9%
	5	0.9%
Other values (405)	495	86.7%

Most occurring characters

Value	Count	Frequency (%)
a	551	12.0%
	534	11.7%
i	369	8.1%
t	365	8.0%
n	314	6.9%
s	294	6.4%
e	263	5.7%
k	242	5.3%
l	220	4.8%
o	213	4.7%
Other values (58)	1209	26.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3824	83.6%
Space Separator	534	11.7%
Other Punctuation	95	2.1%
Uppercase Letter	68	1.5%
Decimal Number	29	0.6%
Dash Punctuation	11	0.2%
Math Symbol	5	0.1%
Close Punctuation	4	0.1%
Open Punctuation	3	0.1%
Control	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	551	14.4%
i	369	9.6%
t	365	9.5%
n	314	8.2%
s	294	7.7%
e	263	6.9%
k	242	6.3%
l	220	5.8%
o	213	5.6%
u	174	4.6%
Other values (15)	819	21.4%

Uppercase Letter

Value	Count	Frequency (%)
K	8	11.8%
S	7	10.3%
V	7	10.3%
P	7	10.3%
O	6	8.8%
E	6	8.8%
T	6	8.8%
Y	4	5.9%
L	3	4.4%
J	2	2.9%
Other values (8)	12	17.6%

Other Punctuation

Value	Count	Frequency (%)
.	41	43.2%
,	40	42.1%
%	4	4.2%
/	3	3.2%
"	2	2.1%
:	2	2.1%
!	2	2.1%
*	1	1.1%

Decimal Number

Value	Count	Frequency (%)
0	8	27.6%
1	5	17.2%
3	4	13.8%
2	4	13.8%
8	3	10.3%
5	3	10.3%
7	1	3.4%
9	1	3.4%

Math Symbol

Value	Count	Frequency (%)
=	2	40.0%
~	1	20.0%
<	1	20.0%
+	1	20.0%

Space Separator

Value	Count	Frequency (%)
	534	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3892	85.1%
Common	682	14.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	551	14.2%
i	369	9.5%
t	365	9.4%
n	314	8.1%
s	294	7.6%
e	263	6.8%
k	242	6.2%
l	220	5.7%
o	213	5.5%
u	174	4.5%
Other values (33)	887	22.8%

Common

Value	Count	Frequency (%)
	534	78.3%
.	41	6.0%
,	40	5.9%
-	11	1.6%
0	8	1.2%
1	5	0.7%
%	4	0.6%
3	4	0.6%
2	4	0.6%
)	4	0.6%
Other values (15)	27	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4392	96.0%
None	182	4.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	551	12.5%
	534	12.2%
i	369	8.4%
t	365	8.3%
n	314	7.1%
s	294	6.7%
e	263	6.0%
k	242	5.5%
l	220	5.0%
o	213	4.8%
Other values (56)	1027	23.4%

None

Value	Count	Frequency (%)
ä	146	80.2%
ö	36	19.8%

Ideoita ensi vuoden kyselyyn
Categorical

MISSING
UNIFORM

Distinct	31
Distinct (%)	100.0%
Missing	653
Missing (%)	95.5%
Memory size	5.5 KiB

Tämä oli mukavan lyhyt ja ytimekäs	1
mietityttää, olisiko kuitenkin koulutustausta relevantti tieto?	1
Kyselyn voisi toteuttaa myös englanniksi, sillä suomessa työskentelee paljon suomea taitamattomia :)	1
Aikanaan, kun toteutin laajan palkkatutkimuksen ohjelmistoalalle, sisällytin mukaan monia kysymyksiä työntekijöiden rooleista, arvoista, koulutustasosta ja tehtävänimikkeistä. Näistä sai sitten todella mielenkiintoista tietoa yhdistettynä palkkatietoihin. Vuosilaskutus on sellainen tapa kysyä palkkaa, että se johtaa helposti harhaan. Mitä jos on korkea laskutus, mutta päättää tehdä kuusituntista viikkoa? Mitä jos on vanhempainvapaalla puolet vuodesta? Tällaisella yhdellä vuosilaskutusta koskevalla kysymyksellä saa helposti harhaanjohtavia vastauksia.	1
Millä kielillä koodaa? Millä alustoilla?	1
Other values (26)	26

Length

Max length	558
Median length	89
Mean length	96.80645161
Min length	13

Characters and Unicode

Total characters	3001
Distinct characters	54
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	31 ?
Unique (%)	100.0%

Sample

1st row	Tämä oli mukavan lyhyt ja ytimekäs
2nd row	5/5 hyvää duunia
3rd row	Kiinnostaisi tietää mitä kautta ihmiset löysivät työnsä.
4th row	Ehkä voisi huomioida olennaiset semi-satunnaiset sivuduunit palkkaduunarin ja yrittäjän välimaastossa olevilla.
5th row	Luontaisedut, autoedun arvo yms. voisi olla mukana kyselyssä

Common Values

Value	Count	Frequency (%)
Tämä oli mukavan lyhyt ja ytimekäs	1	0.1%
mietityttää, olisiko kuitenkin koulutustausta relevantti tieto?	1	0.1%
Kyselyn voisi toteuttaa myös englanniksi, sillä suomessa työskentelee paljon suomea taitamattomia :)	1	0.1%
Aikanaan, kun toteutin laajan palkkatutkimuksen ohjelmistoalalle, sisällytin mukaan monia kysymyksiä työntekijöiden rooleista, arvoista, koulutustasosta ja tehtävänimikkeistä. Näistä sai sitten todella mielenkiintoista tietoa yhdistettynä palkkatietoihin. Vuosilaskutus on sellainen tapa kysyä palkkaa, että se johtaa helposti harhaan. Mitä jos on korkea laskutus, mutta päättää tehdä kuusituntista viikkoa? Mitä jos on vanhempainvapaalla puolet vuodesta? Tällaisella yhdellä vuosilaskutusta koskevalla kysymyksellä saa helposti harhaanjohtavia vastauksia.	1	0.1%
Millä kielillä koodaa? Millä alustoilla?	1	0.1%
Palkan kilpailukykyisyyttä voisi arvioida skaalalla 1-5 eikä vain kyllä/ei....	1	0.1%
Voisi kysellä kuinka paljon työajasta voi käyttää itseopiskeluun tai muuhun ei suoraan tuottavaan työhön.	1	0.1%
Työsuhde-edut ois kiva olla erillisenä kysymyksenä.	1	0.1%
Työsuhde-edut	1	0.1%
Ehkä joku työsuhde-edut rahallisesti osuus myös?	1	0.1%
Other values (21)	21	3.1%
(Missing)	653	95.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
voisi	11	3.0%
on	8	2.2%
ja	7	1.9%
mitä	7	1.9%
jos	5	1.4%
onko	5	1.4%
kysyä	5	1.4%
myös	5	1.4%
se	4	1.1%
ehkä	4	1.1%
Other values (267)	304	83.3%

Most occurring characters

Value	Count	Frequency (%)
	338	11.3%
a	323	10.8%
t	262	8.7%
i	254	8.5%
s	220	7.3%
o	178	5.9%
e	164	5.5%
l	163	5.4%
k	153	5.1%
n	147	4.9%
Other values (44)	799	26.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2517	83.9%
Space Separator	338	11.3%
Other Punctuation	81	2.7%
Uppercase Letter	44	1.5%
Dash Punctuation	8	0.3%
Decimal Number	4	0.1%
Close Punctuation	3	0.1%
Control	2	0.1%
Open Punctuation	2	0.1%
Other Symbol	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	323	12.8%
t	262	10.4%
i	254	10.1%
s	220	8.7%
o	178	7.1%
e	164	6.5%
l	163	6.5%
k	153	6.1%
n	147	5.8%
u	126	5.0%
Other values (14)	527	20.9%

Uppercase Letter

Value	Count	Frequency (%)
T	9	20.5%
M	7	15.9%
K	6	13.6%
O	5	11.4%
E	4	9.1%
V	3	6.8%
P	2	4.5%
J	2	4.5%
S	1	2.3%
F	1	2.3%
Other values (4)	4	9.1%

Other Punctuation

Value	Count	Frequency (%)
.	32	39.5%
,	23	28.4%
?	13	16.0%
"	6	7.4%
/	3	3.7%
!	3	3.7%
:	1	1.2%

Decimal Number

Value	Count	Frequency (%)
5	3	75.0%
1	1	25.0%

Other Symbol

Value	Count	Frequency (%)
😍	1	50.0%
😄	1	50.0%

Space Separator

Value	Count	Frequency (%)
	338	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Control

Value	Count	Frequency (%)
	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2561	85.3%
Common	440	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	323	12.6%
t	262	10.2%
i	254	9.9%
s	220	8.6%
o	178	7.0%
e	164	6.4%
l	163	6.4%
k	153	6.0%
n	147	5.7%
u	126	4.9%
Other values (28)	571	22.3%

Common

Value	Count	Frequency (%)
	338	76.8%
.	32	7.3%
,	23	5.2%
?	13	3.0%
-	8	1.8%
"	6	1.4%
)	3	0.7%
5	3	0.7%
/	3	0.7%
!	3	0.7%
Other values (6)	8	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2882	96.0%
None	117	3.9%
Emoticons	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	338	11.7%
a	323	11.2%
t	262	9.1%
i	254	8.8%
s	220	7.6%
o	178	6.2%
e	164	5.7%
l	163	5.7%
k	153	5.3%
n	147	5.1%
Other values (40)	680	23.6%

None

Value	Count	Frequency (%)
ä	94	80.3%
ö	23	19.7%

Emoticons

Value	Count	Frequency (%)
😍	1	50.0%
😄	1	50.0%

Kk-tulot
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	233
Distinct (%)	38.5%
Missing	79
Missing (%)	11.5%
Infinite	0
Infinite (%)	0.0%
Mean	5675.41095

Minimum	0
Maximum	24166.66667
Zeros	2
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2708.333333
Q1	4416.666667
median	5416.666667
Q3	6583.333333
95-th percentile	9000
Maximum	24166.66667
Range	24166.66667
Interquartile range (IQR)	2166.666667

Descriptive statistics

Standard deviation	2358.417865
Coefficient of variation (CV)	0.4155501489
Kurtosis	10.46651083
Mean	5675.41095
Median Absolute Deviation (MAD)	1083.333333
Skewness	1.968967269
Sum	3433623.625
Variance	5562134.828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	23	3.4%
5833.333333	18	2.6%
4166.666667	16	2.3%
5208.333333	14	2.0%
6666.666667	13	1.9%
6250	13	1.9%
5416.666667	13	1.9%
8333.333333	12	1.8%
4583.333333	10	1.5%
4791.666667	10	1.5%
Other values (223)	463	67.7%
(Missing)	79	11.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.3%
5.208333333	1	0.1%
41.66666667	1	0.1%
83.33333333	1	0.1%
166.6666667	1	0.1%
208.3333333	1	0.1%
333.3333333	1	0.1%
400	1	0.1%
416.6666667	1	0.1%
421.8333333	1	0.1%

Value	Count	Frequency (%)
24166.66667	1	0.1%
18333.33333	1	0.1%
17500	1	0.1%
16666.66667	2	0.3%
15666.66667	1	0.1%
14166.66667	1	0.1%
13333.33333	2	0.3%
13000	1	0.1%
12500	2	0.3%
12333.33333	1	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

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.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Timestamp	Oletko palkansaaja vai laskuttaja?	Ikä	Sukupuoli	Työkokemus	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	Rooli	Etä	Kuukausipalkka	Vuositulot	Vapaa kuvaus kokonaiskompensaatiomallista	Kilpailukykyinen	Vapaa sana	Ideoita ensi vuoden kyselyyn	Kk-tulot
0	2022-09-26 16:35:50.002	Palkansaaja	33	mies	12.0	NaN	NaN	NaN	NaN	NaN	NaN	-	PK-Seutu	Konsulttitalossa	1.0	Teknologiajohtaja	50/50	6500.0	81250.0	NaN	True	NaN	NaN	6770.833333
1	2022-09-26 16:37:21.049	Palkansaaja	33	mies	16.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-Seutu	Tuotetalossa, jonka core-bisnes on softa	1.0	Ohjelmistokehittäjä	Etä	9000.0	117000.0	NaN	True	NaN	NaN	9750.000000
2	2022-09-26 16:38:47.396	Palkansaaja	33	mies	16.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Turku	Tuotetalossa, jonka core-bisnes on softa	1.0	Full-stack-ohjelmistokehittäjä	50/50	5000.0	62500.0	NaN	False	NaN	NaN	5208.333333
3	2022-09-26 16:39:47.534	Palkansaaja	38	mies	13.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-Seutu	Konsulttitalossa	1.0	Devaaja	50/50	5100.0	63750.0	NaN	False	NaN	NaN	5312.500000
4	2022-09-26 16:41:09.685	Laskuttaja	28	mies	6.0	1.0	Data-analytiikka, Arkkitehtuuri, Data Engineering,	90.0	160000.0	Käytän välitysfirmoja	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	2022-09-26 16:43:39.266	Laskuttaja	28	mies	6.0	10.0	Fullstack	80.0	100000.0	Itse	Suomesta, Ulkomailta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Lykkyä tykö vapaakenttien normalisointiin!	Tämä oli mukavan lyhyt ja ytimekäs	NaN
6	2022-09-26 16:44:27.744	Palkansaaja	38	mies	12.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-Seutu	Konsulttitalossa	1.0	Full-stack	Etä	7500.0	90000.0	NaN	True	NaN	NaN	7500.000000
7	2022-09-26 16:44:49.112	Palkansaaja	33	mies	12.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Vaasa	Tuotetalossa, jonka core-bisnes on softa	1.0	Ohjelmistokehittäjä full-stack, laitteistokehitys, tekoäly/koneoppiminen	Etä	3700.0	48000.0	Kuukausipalkka + vaihtelevan kokoinen joulubonus	True	NaN	NaN	4000.000000
8	2022-09-26 16:45:12.422	Palkansaaja	33	mies	4.0	NaN	NaN	NaN	NaN	NaN	NaN	Visma	Tampere	Konsulttitalossa	1.0	Full-stack	Etä	4600.0	57500.0	NaN	True	NaN	NaN	4791.666667
9	2022-09-26 16:45:44.793	Palkansaaja	38	mies	14.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-Seutu	Yrityksessä, jossa softa on tukeva toiminto (esim pankit, terveysala, yms)	1.0	NaN	50/50	4300.0	55000.0	NaN	False	NaN	NaN	4583.333333

Last rows

	Timestamp	Oletko palkansaaja vai laskuttaja?	Ikä	Sukupuoli	Työkokemus	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	Rooli	Etä	Kuukausipalkka	Vuositulot	Vapaa kuvaus kokonaiskompensaatiomallista	Kilpailukykyinen	Vapaa sana	Ideoita ensi vuoden kyselyyn	Kk-tulot
674	2022-10-09 18:56:30.713	Palkansaaja	38	mies	20.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-Seutu	Konsulttitalossa	1.0	Web-analyytikko	Etä	7300.0	90000.0	NaN	False	NaN	NaN	7500.000000
675	2022-10-09 19:31:27.704	Laskuttaja	28	mies	4.0	1.0	Full stack	86.0	125000.0	Käytän välitysfirmoja	Suomesta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
676	2022-10-09 20:54:49.686	Palkansaaja	33	nainen	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-Seutu	Tuotetalossa, jonka core-bisnes on softa	1.0	Junior frontend dev	Etä	3750.0	47000.0	Palkkamalliin kuului osakkeita n. 17t € arvosta, vestautumisaika 4 vuotta, kertyvät asteittain.	True	NaN	Työkokemusvuosien vaihtoehdoissa voisi olla kokonaislukujen sijaan mahdollista valita myös esim. "alle vuosi". Mun relevantti kokemus alalta on puoli vuotta, joten en haluais millään vastata "nolla vuotta" 😄	3916.666667
677	2022-10-09 21:34:52.664	Palkansaaja	33	mies	6.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Lappeenranta	Konsulttitalossa	0.8	NaN	50/50	4200.0	52500.0	NaN	NaN	NaN	NaN	4375.000000
678	2022-10-09 22:07:02.512	Palkansaaja	33	NaN	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Tampere	Tuotetalossa, jonka core-bisnes on softa	1.0	Team leader	50/50	5100.0	63750.0	NaN	False	NaN	NaN	5312.500000
679	2022-10-09 22:29:23.021	Palkansaaja	33	mies	6.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	PK-Seutu	Konsulttitalossa	1.0	Ohjelmistokehittäjä	Toimisto	4730.0	61000.0	Kiinteä kuukausipalkka + vuosibonus yrityksen tuloksen mukaan	False	NaN	NaN	5083.333333
680	2022-10-10 06:26:34.080	Laskuttaja	33	mies	12.0	NaN	NaN	170.0	NaN	Itse	Suomesta, Ulkomailta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
681	2022-10-10 06:52:45.143	Palkansaaja	28	mies	2.0	NaN	NaN	NaN	NaN	NaN	NaN	Helsingin Kaupunki	PK-Seutu	Julkinen tai kolmas sektori	1.0	Backend, devops, projektipäällikkö	Toimisto	2300.0	28750.0	NaN	False	NaN	NaN	2395.833333
682	2022-10-10 07:46:57.646	Palkansaaja	33	NaN	7.0	NaN	NaN	NaN	NaN	NaN	NaN	Fraktio	PK-Seutu	Konsulttitalossa	1.0	Suunnittelija	50/50	4900.0	61250.0	NaN	True	NaN	NaN	5104.166667
683	2022-10-10 07:49:49.204	Laskuttaja	23	mies	7.0	4.0	Backend, systems	120.0	135000.0	Itse	Ulkomailta	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Category Frequency 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

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Space Separator

Math Symbol

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency 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

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Decimal Number

Open Punctuation

Close Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script