Pandas Profiling Report

Dataset statistics

Number of variables	14
Number of observations	417
Missing cells	968
Missing cells (%)	16.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	35.7 KiB
Average record size in memory	87.6 B

Variable types

DateTime	1
Categorical	8
Numeric	2
Unsupported	2
Boolean	1

Warnings

`Rooli` has a high cardinality: 223 distinct values	High cardinality
`Työpaikka` has a high cardinality: 65 distinct values	High cardinality
`Kilpailukykyinen` is highly correlated with `Vapaa sana`	High correlation
`Vapaa sana` is highly correlated with `Kilpailukykyinen` and 1 other fields	High correlation
`Työpaikka` is highly correlated with `Vapaa sana`	High correlation
`Sukupuoli` has 32 (7.7%) missing values	Missing
`Työaika` has 15 (3.6%) missing values	Missing
`Rooli` has 10 (2.4%) missing values	Missing
`Etä` has 145 (34.8%) missing values	Missing
`Kuukausipalkka` has 35 (8.4%) missing values	Missing
`Kilpailukykyinen` has 13 (3.1%) missing values	Missing
`Työpaikka` has 323 (77.5%) missing values	Missing
`Vapaa sana` has 384 (92.1%) missing values	Missing
`Työaika` is highly skewed (γ1 = 20.02126569)	Skewed
`Vapaa sana` is uniformly distributed	Uniform
`Timestamp` has unique values	Unique
`Kuukausipalkka` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Vuositulot` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2021-02-19 14:12:34.841689
Analysis finished	2021-02-19 14:12:38.045552
Duration	3.2 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

Timestamp
Date

UNIQUE

Distinct	417
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.4 KiB

Minimum	2021-02-15 11:57:08.316000
Maximum	2021-02-19 16:04:50.348000

Histogram

Histogram with fixed size bins (bins=50)

Kaupunki
Categorical

Distinct	25
Distinct (%)	6.1%
Missing	4
Missing (%)	1.0%
Memory size	1.3 KiB

PK-Seutu	210
Tampere	97
Turku	42
Oulu	22
Jyväskylä	17
Other values (20)	25

Length

Max length	15
Median length	8
Mean length	7.249394673
Min length	2

Characters and Unicode

Total characters	2994
Distinct characters	39
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	18 ?
Unique (%)	4.4%

Sample

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

Value	Count	Frequency (%)
PK-Seutu	210	50.4%
Tampere	97	23.3%
Turku	42	10.1%
Oulu	22	5.3%
Jyväskylä	17	4.1%
Kuopio	5	1.2%
Pori	2	0.5%
Ruotsi	1	0.2%
Wien	1	0.2%
Viimsi	1	0.2%
Other values (15)	15	3.6%
(Missing)	4	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
pk-seutu	210	50.4%
tampere	97	23.3%
turku	42	10.1%
oulu	22	5.3%
jyväskylä	17	4.1%
kuopio	5	1.2%
pori	2	0.5%
new	1	0.2%
viimsi	1	0.2%
francisco	1	0.2%
Other values (19)	19	4.6%

Most occurring characters

Value	Count	Frequency (%)
u	560	18.7%
e	413	13.8%
K	218	7.3%
t	215	7.2%
P	213	7.1%
-	212	7.1%
S	212	7.1%
r	145	4.8%
T	140	4.7%
a	114	3.8%
Other values (29)	552	18.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1939	64.8%
Uppercase Letter	838	28.0%
Dash Punctuation	212	7.1%
Space Separator	4	0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
u	560	28.9%
e	413	21.3%
t	215	11.1%
r	145	7.5%
a	114	5.9%
p	103	5.3%
m	101	5.2%
k	60	3.1%
l	47	2.4%
ä	41	2.1%
Other values (10)	140	7.2%

Value	Count	Frequency (%)
K	218	26.0%
P	213	25.4%
S	212	25.3%
T	140	16.7%
O	22	2.6%
J	18	2.1%
E	3	0.4%
L	3	0.4%
V	2	0.2%
W	1	0.1%
Other values (6)	6	0.7%

Value	Count	Frequency (%)
-	212	100.0%

Value	Count	Frequency (%)
	4	100.0%

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2777	92.8%
Common	217	7.2%

Most frequent character per script

Value	Count	Frequency (%)
u	560	20.2%
e	413	14.9%
K	218	7.9%
t	215	7.7%
P	213	7.7%
S	212	7.6%
r	145	5.2%
T	140	5.0%
a	114	4.1%
p	103	3.7%
Other values (26)	444	16.0%

Value	Count	Frequency (%)
-	212	97.7%
	4	1.8%
,	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2953	98.6%
None	41	1.4%

Most frequent character per block

Value	Count	Frequency (%)
u	560	19.0%
e	413	14.0%
K	218	7.4%
t	215	7.3%
P	213	7.2%
-	212	7.2%
S	212	7.2%
r	145	4.9%
T	140	4.7%
a	114	3.9%
Other values (28)	511	17.3%

Value	Count	Frequency (%)
ä	41	100.0%

Ikä
Categorical

Distinct	7
Distinct (%)	1.7%
Missing	2
Missing (%)	0.5%
Memory size	901.0 B

31-35 v	139
26-30 v	104
36-40 v	89
41-45 v	45
21-25 v	26
Other values (2)	12

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	2905
Distinct characters	10
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	31-35 v
2nd row	31-35 v
3rd row	26-30 v
4th row	31-35 v
5th row	26-30 v

Value	Count	Frequency (%)
31-35 v	139	33.3%
26-30 v	104	24.9%
36-40 v	89	21.3%
41-45 v	45	10.8%
21-25 v	26	6.2%
46-50 v	7	1.7%
51-55 v	5	1.2%
(Missing)	2	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
v	415	50.0%
31-35	139	16.7%
26-30	104	12.5%
36-40	89	10.7%
41-45	45	5.4%
21-25	26	3.1%
46-50	7	0.8%
51-55	5	0.6%

Most occurring characters

Value	Count	Frequency (%)
3	471	16.2%
-	415	14.3%
	415	14.3%
v	415	14.3%
5	232	8.0%
1	215	7.4%
6	200	6.9%
0	200	6.9%
4	186	6.4%
2	156	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1660	57.1%
Dash Punctuation	415	14.3%
Space Separator	415	14.3%
Lowercase Letter	415	14.3%

Most frequent character per category

Value	Count	Frequency (%)
3	471	28.4%
5	232	14.0%
1	215	13.0%
6	200	12.0%
0	200	12.0%
4	186	11.2%
2	156	9.4%

Value	Count	Frequency (%)
-	415	100.0%

Value	Count	Frequency (%)
	415	100.0%

Value	Count	Frequency (%)
v	415	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2490	85.7%
Latin	415	14.3%

Most frequent character per script

Value	Count	Frequency (%)
3	471	18.9%
-	415	16.7%
	415	16.7%
5	232	9.3%
1	215	8.6%
6	200	8.0%
0	200	8.0%
4	186	7.5%
2	156	6.3%

Value	Count	Frequency (%)
v	415	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2905	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	471	16.2%
-	415	14.3%
	415	14.3%
v	415	14.3%
5	232	8.0%
1	215	7.4%
6	200	6.9%
0	200	6.9%
4	186	6.4%
2	156	5.4%

Sukupuoli
Categorical

MISSING

Distinct	3
Distinct (%)	0.8%
Missing	32
Missing (%)	7.7%
Memory size	677.0 B

mies	350
nainen	27
muu	8

Length

Max length	6
Median length	4
Mean length	4.119480519
Min length	3

Characters and Unicode

Total characters	1586
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

Value	Count	Frequency (%)
mies	350	83.9%
nainen	27	6.5%
muu	8	1.9%
(Missing)	32	7.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
mies	350	90.9%
nainen	27	7.0%
muu	8	2.1%

Most occurring characters

Value	Count	Frequency (%)
i	377	23.8%
e	377	23.8%
m	358	22.6%
s	350	22.1%
n	81	5.1%
a	27	1.7%
u	16	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1586	100.0%

Most frequent character per category

Value	Count	Frequency (%)
i	377	23.8%
e	377	23.8%
m	358	22.6%
s	350	22.1%
n	81	5.1%
a	27	1.7%
u	16	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1586	100.0%

Most frequent character per script

Value	Count	Frequency (%)
i	377	23.8%
e	377	23.8%
m	358	22.6%
s	350	22.1%
n	81	5.1%
a	27	1.7%
u	16	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1586	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	377	23.8%
e	377	23.8%
m	358	22.6%
s	350	22.1%
n	81	5.1%
a	27	1.7%
u	16	1.0%

Työkokemus
Real number (ℝ_≥0)

Distinct	27
Distinct (%)	6.5%
Missing	4
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.595641646
Minimum	0
Maximum	30
Zeros	3
Zeros (%)	0.7%
Memory size	3.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	9
Q3	13
95-th percentile	21
Maximum	30
Range	30
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.061871958
Coefficient of variation (CV)	0.6317317988
Kurtosis	-0.005108014079
Mean	9.595641646
Median Absolute Deviation (MAD)	4
Skewness	0.7276936771
Sum	3963
Variance	36.74629164
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
5	43	10.3%
10	34	8.2%
4	28	6.7%
7	26	6.2%
20	25	6.0%
3	24	5.8%
15	23	5.5%
13	22	5.3%
6	21	5.0%
11	21	5.0%
Other values (17)	146	35.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	0.7%
1	15	3.6%
2	21	5.0%
3	24	5.8%
4	28	6.7%

Value	Count	Frequency (%)
30	2	0.5%
25	5	1.2%
24	2	0.5%
23	4	1.0%
22	3	0.7%

Työsuhteen luonne
Categorical

Distinct	3
Distinct (%)	0.7%
Missing	1
Missing (%)	0.2%
Memory size	3.4 KiB

Työntekijä / palkollinen	371
Freelancer	23
Yrittäjä	22

Length

Max length	24
Median length	24
Mean length	22.37980769
Min length	8

Characters and Unicode

Total characters	9310
Distinct characters	20
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	Työntekijä / palkollinen
2nd row	Työntekijä / palkollinen
3rd row	Työntekijä / palkollinen
4th row	Yrittäjä
5th row	Työntekijä / palkollinen

Value	Count	Frequency (%)
Työntekijä / palkollinen	371	89.0%
Freelancer	23	5.5%
Yrittäjä	22	5.3%
(Missing)	1	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
	371	32.0%
palkollinen	371	32.0%
työntekijä	371	32.0%
freelancer	23	2.0%
yrittäjä	22	1.9%

Most occurring characters

Value	Count	Frequency (%)
n	1136	12.2%
l	1136	12.2%
e	811	8.7%
i	764	8.2%
k	742	8.0%
	742	8.0%
t	415	4.5%
ä	415	4.5%
a	394	4.2%
j	393	4.2%
Other values (10)	2362	25.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7781	83.6%
Space Separator	742	8.0%
Uppercase Letter	416	4.5%
Other Punctuation	371	4.0%

Most frequent character per category

Value	Count	Frequency (%)
n	1136	14.6%
l	1136	14.6%
e	811	10.4%
i	764	9.8%
k	742	9.5%
t	415	5.3%
ä	415	5.3%
a	394	5.1%
j	393	5.1%
y	371	4.8%
Other values (5)	1204	15.5%

Value	Count	Frequency (%)
T	371	89.2%
F	23	5.5%
Y	22	5.3%

Value	Count	Frequency (%)
	742	100.0%

Value	Count	Frequency (%)
/	371	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8197	88.0%
Common	1113	12.0%

Most frequent character per script

Value	Count	Frequency (%)
n	1136	13.9%
l	1136	13.9%
e	811	9.9%
i	764	9.3%
k	742	9.1%
t	415	5.1%
ä	415	5.1%
a	394	4.8%
j	393	4.8%
T	371	4.5%
Other values (8)	1620	19.8%

Value	Count	Frequency (%)
	742	66.7%
/	371	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8524	91.6%
None	786	8.4%

Most frequent character per block

Value	Count	Frequency (%)
n	1136	13.3%
l	1136	13.3%
e	811	9.5%
i	764	9.0%
k	742	8.7%
	742	8.7%
t	415	4.9%
a	394	4.6%
j	393	4.6%
T	371	4.4%
Other values (8)	1620	19.0%

Value	Count	Frequency (%)
ä	415	52.8%
ö	371	47.2%

Työaika
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	6
Distinct (%)	1.5%
Missing	15
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%

Mean	1.083333333
Minimum	0.5
Maximum	40
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.8
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	40
Range	39.5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.946746332
Coefficient of variation (CV)	1.796996614
Kurtosis	401.235778
Mean	1.083333333
Median Absolute Deviation (MAD)	0
Skewness	20.02126569
Sum	435.5
Variance	3.78982128
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	378	90.6%
0.8	19	4.6%
0.5	2	0.5%
40	1	0.2%
0.6	1	0.2%
0.7	1	0.2%
(Missing)	15	3.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.5	2	0.5%
0.6	1	0.2%
0.7	1	0.2%
0.8	19	4.6%
1	378	90.6%

Value	Count	Frequency (%)
40	1	0.2%
1	378	90.6%
0.8	19	4.6%
0.7	1	0.2%
0.6	1	0.2%

Rooli
Categorical

HIGH CARDINALITY
MISSING

Distinct	223
Distinct (%)	54.8%
Missing	10
Missing (%)	2.4%
Memory size	3.4 KiB

Ohjelmistokehittäjä	33
full-stack	28
Full-stack	21
Arkkitehti	15
ohjelmistokehittäjä	14
Other values (218)	296

Length

Max length	67
Median length	18
Mean length	19.22113022
Min length	2

Characters and Unicode

Total characters	7823
Distinct characters	57
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	181 ?
Unique (%)	44.5%

Sample

1st row	Arkkitehti
2nd row	full-stack
3rd row	Full-stack ohjelmistokehittäjä
4th row	web-arkkitehti
5th row	Ohjelmistokehittäjä

Value	Count	Frequency (%)
Ohjelmistokehittäjä	33	7.9%
full-stack	28	6.7%
Full-stack	21	5.0%
Arkkitehti	15	3.6%
ohjelmistokehittäjä	14	3.4%
Full-stack ohjelmistokehittäjä	8	1.9%
full-stack ohjelmistokehittäjä	6	1.4%
arkkitehti	6	1.4%
DevOps	5	1.2%
Frontend	5	1.2%
Other values (213)	266	63.8%
(Missing)	10	2.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
full-stack	125	16.7%
ohjelmistokehittäjä	97	13.0%
developer	52	7.0%
arkkitehti	33	4.4%
	29	3.9%
lead	27	3.6%
frontend	23	3.1%
senior	18	2.4%
kehittäjä	15	2.0%
backend	13	1.7%
Other values (164)	316	42.2%

Most occurring characters

Value	Count	Frequency (%)
t	818	10.5%
e	717	9.2%
i	577	7.4%
l	575	7.4%
k	441	5.6%
o	408	5.2%
s	373	4.8%
a	373	4.8%
	345	4.4%
h	314	4.0%
Other values (47)	2882	36.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6805	87.0%
Uppercase Letter	383	4.9%
Space Separator	346	4.4%
Dash Punctuation	150	1.9%
Other Punctuation	85	1.1%
Open Punctuation	23	0.3%
Close Punctuation	23	0.3%
Math Symbol	8	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	818	12.0%
e	717	10.5%
i	577	8.5%
l	575	8.4%
k	441	6.5%
o	408	6.0%
s	373	5.5%
a	373	5.5%
h	314	4.6%
j	294	4.3%
Other values (16)	1915	28.1%

Value	Count	Frequency (%)
F	88	23.0%
O	79	20.6%
S	43	11.2%
D	38	9.9%
A	24	6.3%
T	20	5.2%
L	16	4.2%
C	13	3.4%
E	10	2.6%
K	8	2.1%
Other values (11)	44	11.5%

Value	Count	Frequency (%)
,	50	58.8%
/	31	36.5%
&	3	3.5%
.	1	1.2%

Value	Count	Frequency (%)
	345	99.7%
	1	0.3%

Value	Count	Frequency (%)
-	150	100.0%

Value	Count	Frequency (%)
(	23	100.0%

Value	Count	Frequency (%)
)	23	100.0%

Value	Count	Frequency (%)
+	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7188	91.9%
Common	635	8.1%

Most frequent character per script

Value	Count	Frequency (%)
t	818	11.4%
e	717	10.0%
i	577	8.0%
l	575	8.0%
k	441	6.1%
o	408	5.7%
s	373	5.2%
a	373	5.2%
h	314	4.4%
j	294	4.1%
Other values (37)	2298	32.0%

Value	Count	Frequency (%)
	345	54.3%
-	150	23.6%
,	50	7.9%
/	31	4.9%
(	23	3.6%
)	23	3.6%
+	8	1.3%
&	3	0.5%
.	1	0.2%
	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7527	96.2%
None	296	3.8%

Most frequent character per block

Value	Count	Frequency (%)
t	818	10.9%
e	717	9.5%
i	577	7.7%
l	575	7.6%
k	441	5.9%
o	408	5.4%
s	373	5.0%
a	373	5.0%
	345	4.6%
h	314	4.2%
Other values (44)	2586	34.4%

Value	Count	Frequency (%)
ä	280	94.6%
ö	15	5.1%
	1	0.3%

Etä
Categorical

MISSING

Distinct	2
Distinct (%)	0.7%
Missing	145
Missing (%)	34.8%
Memory size	669.0 B

Etä	174
50/50	98

Length

Max length	5
Median length	3
Mean length	3.720588235
Min length	3

Characters and Unicode

Total characters	1012
Distinct characters	6
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	Etä
4th row	Etä
5th row	Etä

Value	Count	Frequency (%)
Etä	174	41.7%
50/50	98	23.5%
(Missing)	145	34.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
etä	174	64.0%
50/50	98	36.0%

Most occurring characters

Value	Count	Frequency (%)
5	196	19.4%
0	196	19.4%
E	174	17.2%
t	174	17.2%
ä	174	17.2%
/	98	9.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	392	38.7%
Lowercase Letter	348	34.4%
Uppercase Letter	174	17.2%
Other Punctuation	98	9.7%

Most frequent character per category

Value	Count	Frequency (%)
5	196	50.0%
0	196	50.0%

Value	Count	Frequency (%)
t	174	50.0%
ä	174	50.0%

Value	Count	Frequency (%)
/	98	100.0%

Value	Count	Frequency (%)
E	174	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	522	51.6%
Common	490	48.4%

Most frequent character per script

Value	Count	Frequency (%)
5	196	40.0%
0	196	40.0%
/	98	20.0%

Value	Count	Frequency (%)
E	174	33.3%
t	174	33.3%
ä	174	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	838	82.8%
None	174	17.2%

Most frequent character per block

Value	Count	Frequency (%)
5	196	23.4%
0	196	23.4%
E	174	20.8%
t	174	20.8%
/	98	11.7%

Value	Count	Frequency (%)
ä	174	100.0%

Kuukausipalkka
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	35
Missing (%)	8.4%
Memory size	3.4 KiB

Vuositulot
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	3.4 KiB

Kilpailukykyinen
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.5%
Missing	13
Missing (%)	3.1%
Memory size	3.4 KiB

True	283
False	121
(Missing)	13

Common Values
Chart

Value	Count	Frequency (%)
True	283	67.9%
False	121	29.0%
(Missing)	13	3.1%

Työpaikka
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	65
Distinct (%)	69.1%
Missing	323
Missing (%)	77.5%
Memory size	3.4 KiB

Gofore	11
Vincit	6
Fraktio	4
Futurice	4
Arado	3
Other values (60)	66

Length

Max length	132
Median length	7
Mean length	10.69148936
Min length	2

Characters and Unicode

Total characters	1005
Distinct characters	53
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	55 ?
Unique (%)	58.5%

Sample

1st row	Questrade
2nd row	Digia Oyj
3rd row	Gofore
4th row	Oura Health
5th row	Wirepas

Value	Count	Frequency (%)
Gofore	11	2.6%
Vincit	6	1.4%
Fraktio	4	1.0%
Futurice	4	1.0%
Arado	3	0.7%
Pankki	3	0.7%
KVTES-alainen kunnan omistama oy	2	0.5%
Gofore Oyj	2	0.5%
Qvik	2	0.5%
Siili	2	0.5%
Other values (55)	55	13.2%
(Missing)	323	77.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
gofore	13	8.6%
oy	9	6.0%
vincit	6	4.0%
oyj	4	2.6%
fraktio	4	2.6%
futurice	4	2.6%
omistama	3	2.0%
siili	3	2.0%
arado	3	2.0%
pankki	3	2.0%
Other values (88)	99	65.6%

Most occurring characters

Value	Count	Frequency (%)
i	100	10.0%
o	79	7.9%
a	78	7.8%
t	71	7.1%
e	69	6.9%
	60	6.0%
r	54	5.4%
n	50	5.0%
l	41	4.1%
u	40	4.0%
Other values (43)	363	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	813	80.9%
Uppercase Letter	126	12.5%
Space Separator	60	6.0%
Other Punctuation	3	0.3%
Dash Punctuation	3	0.3%

Most frequent character per category

Value	Count	Frequency (%)
G	14	11.1%
O	13	10.3%
V	12	9.5%
S	11	8.7%
F	9	7.1%
A	7	5.6%
K	7	5.6%
C	6	4.8%
P	6	4.8%
E	5	4.0%
Other values (15)	36	28.6%

Value	Count	Frequency (%)
i	100	12.3%
o	79	9.7%
a	78	9.6%
t	71	8.7%
e	69	8.5%
r	54	6.6%
n	50	6.2%
l	41	5.0%
u	40	4.9%
k	37	4.6%
Other values (15)	194	23.9%

Value	Count	Frequency (%)
	60	100.0%

Value	Count	Frequency (%)
.	3	100.0%

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	939	93.4%
Common	66	6.6%

Most frequent character per script

Value	Count	Frequency (%)
i	100	10.6%
o	79	8.4%
a	78	8.3%
t	71	7.6%
e	69	7.3%
r	54	5.8%
n	50	5.3%
l	41	4.4%
u	40	4.3%
k	37	3.9%
Other values (40)	320	34.1%

Value	Count	Frequency (%)
	60	90.9%
.	3	4.5%
-	3	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	993	98.8%
None	12	1.2%

Most frequent character per block

Value	Count	Frequency (%)
i	100	10.1%
o	79	8.0%
a	78	7.9%
t	71	7.2%
e	69	6.9%
	60	6.0%
r	54	5.4%
n	50	5.0%
l	41	4.1%
u	40	4.0%
Other values (41)	351	35.3%

Value	Count	Frequency (%)
ä	11	91.7%
ö	1	8.3%

Vapaa sana
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	32
Distinct (%)	97.0%
Missing	384
Missing (%)	92.1%
Memory size	3.4 KiB

palkan lisänä lounas- ja virkistysetu	2
Korona-aika on lisännyt etätyön määrää. Aiemmin pari päivää viikossa etänä, nyt kokonaan. Paluuta vanhaan ei varmaankaan ole, ehkä päivä viikossa konttorilla ihan sosiaalisten kontaktien takia.	1
Sijainti Pori, mutta etätöitä 100%. Varsinainen positio Tampere - Helsinki. Edut aika huonot, perusjutut. Työ itsessään aika masentavaa. Seuraavaksi varmaan freelance/yrittäjyys.	1
Pakettiin kuuluu reilu määrä optioita ja palkka nousee (ja laskee) firman liikevaihdon myötä.	1
Opiskelija	1
Other values (27)	27

Length

Max length	286
Median length	71
Mean length	95.54545455
Min length	7

Characters and Unicode

Total characters	3153
Distinct characters	55
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	31 ?
Unique (%)	93.9%

Sample

1st row	Kuukausipalkkaan tulossa ihan juuri firman laajuinen pieni (muistaakseni 50 e) yleiskorotus + palkka nousee ainakin 2800 e/kk, kunhan valmistuisi.
2nd row	Työskentelen toimistolla, koska täällä ei ole ketään muita. Työnantajan puolesta voisin työskennellä myös kotoa.
3rd row	palkan lisäksi kompensaatioon kuuluu varsin runsas ja suomen it-alalla uniikki etupaketti. pelkkä palkka ei välttämättä ole kilpailukykyinen, mutta koko kompensaatio yleisesti työstäni on ehdottomasti kilpailukykyinen.
4th row	Rahapalkan päälle tulee vielä kohtuullinen optiopotti, mutta se toki on lähinnä arpalippu
5th row	Osittain laskutukseen perustuva palkka joten vaihtelee.

Value	Count	Frequency (%)
palkan lisänä lounas- ja virkistysetu	2	0.5%
Korona-aika on lisännyt etätyön määrää. Aiemmin pari päivää viikossa etänä, nyt kokonaan. Paluuta vanhaan ei varmaankaan ole, ehkä päivä viikossa konttorilla ihan sosiaalisten kontaktien takia.	1	0.2%
Sijainti Pori, mutta etätöitä 100%. Varsinainen positio Tampere - Helsinki. Edut aika huonot, perusjutut. Työ itsessään aika masentavaa. Seuraavaksi varmaan freelance/yrittäjyys.	1	0.2%
Pakettiin kuuluu reilu määrä optioita ja palkka nousee (ja laskee) firman liikevaihdon myötä.	1	0.2%
Opiskelija	1	0.2%
Ennen koronaa oli osittainen etätyö, koronan jälkeen 100%	1	0.2%
startup, palkan lisäksi optiopaketti.	1	0.2%
olen sekä päivätyöläinen että friikku. jospa nyt kuitenki vois valita monta?	1	0.2%
Osittain laskutukseen perustuva palkka joten vaihtelee.	1	0.2%
Teen 80% työaikaa jotta ehtisin harrastaa kaikenlaista työnteon lisäksi	1	0.2%
Other values (22)	22	5.3%
(Missing)	384	92.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
ei	10	2.5%
palkka	9	2.3%
on	8	2.0%
mutta	6	1.5%
ole	6	1.5%
ja	6	1.5%
firman	4	1.0%
palkan	4	1.0%
joten	4	1.0%
nyt	4	1.0%
Other values (281)	334	84.6%

Most occurring characters

Value	Count	Frequency (%)
	365	11.6%
a	331	10.5%
i	271	8.6%
t	247	7.8%
n	216	6.9%
s	205	6.5%
e	203	6.4%
k	185	5.9%
l	161	5.1%
o	146	4.6%
Other values (45)	823	26.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2625	83.3%
Space Separator	365	11.6%
Other Punctuation	74	2.3%
Uppercase Letter	47	1.5%
Decimal Number	27	0.9%
Dash Punctuation	6	0.2%
Open Punctuation	3	0.1%
Close Punctuation	3	0.1%
Math Symbol	3	0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	331	12.6%
i	271	10.3%
t	247	9.4%
n	216	8.2%
s	205	7.8%
e	203	7.7%
k	185	7.0%
l	161	6.1%
o	146	5.6%
u	118	4.5%
Other values (14)	542	20.6%

Value	Count	Frequency (%)
T	7	14.9%
P	7	14.9%
O	6	12.8%
E	6	12.8%
V	6	12.8%
S	4	8.5%
K	3	6.4%
I	2	4.3%
H	2	4.3%
R	1	2.1%
Other values (3)	3	6.4%

Value	Count	Frequency (%)
0	15	55.6%
1	3	11.1%
5	2	7.4%
2	2	7.4%
8	2	7.4%
6	2	7.4%
3	1	3.7%

Value	Count	Frequency (%)
.	38	51.4%
,	23	31.1%
/	5	6.8%
%	4	5.4%
"	2	2.7%
?	2	2.7%

Value	Count	Frequency (%)
	365	100.0%

Value	Count	Frequency (%)
(	3	100.0%

Value	Count	Frequency (%)
)	3	100.0%

Value	Count	Frequency (%)
+	3	100.0%

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2672	84.7%
Common	481	15.3%

Most frequent character per script

Value	Count	Frequency (%)
a	331	12.4%
i	271	10.1%
t	247	9.2%
n	216	8.1%
s	205	7.7%
e	203	7.6%
k	185	6.9%
l	161	6.0%
o	146	5.5%
u	118	4.4%
Other values (27)	589	22.0%

Value	Count	Frequency (%)
	365	75.9%
.	38	7.9%
,	23	4.8%
0	15	3.1%
-	6	1.2%
/	5	1.0%
%	4	0.8%
(	3	0.6%
)	3	0.6%
+	3	0.6%
Other values (8)	16	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3017	95.7%
None	136	4.3%

Most frequent character per block

Value	Count	Frequency (%)
	365	12.1%
a	331	11.0%
i	271	9.0%
t	247	8.2%
n	216	7.2%
s	205	6.8%
e	203	6.7%
k	185	6.1%
l	161	5.3%
o	146	4.8%
Other values (43)	687	22.8%

Value	Count	Frequency (%)
ä	112	82.4%
ö	24	17.6%

Työkokemus
Työaika

Työkokemus
Työaika

Työkokemus
Työaika

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.

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.

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.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

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	Kaupunki	Ikä	Sukupuoli	Työkokemus	Työsuhteen luonne	Työaika	Rooli	Etä	Kuukausipalkka	Vuositulot	Kilpailukykyinen	Työpaikka	Vapaa sana
0	2021-02-15 11:57:08.316	PK-Seutu	31-35 v	NaN	10.0	Työntekijä / palkollinen	1.0	Arkkitehti	50/50	6500	83000	True	NaN	NaN
1	2021-02-15 11:57:19.676	Turku	31-35 v	mies	14.0	Työntekijä / palkollinen	1.0	full-stack	Etä	5000	62500	True	NaN	NaN
2	2021-02-15 11:58:03.592	PK-Seutu	26-30 v	mies	2.0	Työntekijä / palkollinen	1.0	Full-stack ohjelmistokehittäjä	Etä	2475	30000	False	NaN	NaN
3	2021-02-15 11:58:15.261	Tampere	31-35 v	mies	22.0	Yrittäjä	1.0	web-arkkitehti	Etä	4300	100000	True	NaN	NaN
4	2021-02-15 11:58:16.983	PK-Seutu	26-30 v	mies	2.0	Työntekijä / palkollinen	1.0	Ohjelmistokehittäjä	Etä	3000	37500	False	NaN	NaN
5	2021-02-15 11:58:49.454	PK-Seutu	41-45 v	mies	23.0	Työntekijä / palkollinen	1.0	Ohjelmistokehittäjä	NaN	8000	100000	True	NaN	NaN
6	2021-02-15 12:00:03.771	PK-Seutu	31-35 v	mies	10.0	Freelancer	1.0	Ohjelmistokehittäjä	Etä	6000	140000	True	NaN	NaN
7	2021-02-15 12:00:04.655	Tampere	31-35 v	NaN	10.0	Työntekijä / palkollinen	1.0	Ohjelmistokehittäjä	NaN	4250	54000	True	NaN	NaN
8	2021-02-15 12:01:00.769	Tampere	31-35 v	mies	6.0	Työntekijä / palkollinen	1.0	Lead developer	NaN	4000	50000	False	NaN	NaN
9	2021-02-15 12:02:03.577	Tallinna	31-35 v	mies	12.0	Freelancer	1.0	NaN	Etä	NaN	200000	True	Questrade	NaN

Last rows

	Timestamp	Kaupunki	Ikä	Sukupuoli	Työkokemus	Työsuhteen luonne	Työaika	Rooli	Etä	Kuukausipalkka	Vuositulot	Kilpailukykyinen	Työpaikka	Vapaa sana
407	2021-02-19 14:44:18.231	PK-Seutu	31-35 v	NaN	5.0	Työntekijä / palkollinen	1.0	full-stack	Etä	2900	36000	False	NaN	NaN
408	2021-02-19 14:48:10.772	Viimsi	36-40 v	mies	20.0	Yrittäjä	NaN	sysadmin	Etä	NaN	110000	True	NaN	NaN
409	2021-02-19 14:54:21.221	Tampere	36-40 v	NaN	12.0	Työntekijä / palkollinen	1.0	Ohjelmistosuunnittelija	NaN	3800	50000	False	NaN	NaN
410	2021-02-19 15:01:20.423	Turku	31-35 v	mies	9.0	Työntekijä / palkollinen	1.0	Full-stack ohjelmistokehittäjä	NaN	3900	52000	False	NaN	NaN
411	2021-02-19 15:06:06.295	PK-Seutu	36-40 v	nainen	14.0	Työntekijä / palkollinen	1.0	Senior consultant	Etä	8500	100000	True	Sulava	NaN
412	2021-02-19 15:13:51.743	Pori	36-40 v	mies	8.0	Työntekijä / palkollinen	1.0	Tech Lead	Etä	5080	65000	False	Iso konsulttitalo	Sijainti Pori, mutta etätöitä 100%. Varsinainen positio Tampere - Helsinki. Edut aika huonot, perusjutut. Työ itsessään aika masentavaa. Seuraavaksi varmaan freelance/yrittäjyys.
413	2021-02-19 15:24:01.085	Tampere	36-40 v	mies	14.0	Työntekijä / palkollinen	1.0	Ohjelmistotestaaja	Etä	4100	55000	True	NaN	NaN
414	2021-02-19 15:34:53.741	Tampere	26-30 v	muu	7.0	Työntekijä / palkollinen	1.0	Full-stack developer	50/50	5550	69400	True	NaN	NaN
415	2021-02-19 15:40:16.336	PK-Seutu	26-30 v	mies	5.0	Työntekijä / palkollinen	0.8	Full-stack/mobiili/design	Etä	7000	90000	True	Mavericks	NaN
416	2021-02-19 16:04:50.348	Tampere	36-40 v	mies	16.0	Työntekijä / palkollinen	1.0	Ohjelmistokehittäjä	NaN	4800	65000	True	NaN	Bonukset riippuu firman tuloksesta. Palkka olisi varmastikin enemmän muualla mutta uskoakseni linjassa kollegoideni kanssa.

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Cramér's V (φc)

Missing values

Sample

First rows

Last rows