gimi9 Pandas Profiling

Dataset statistics

Number of variables	20
Number of observations	35
Missing cells	193
Missing cells (%)	27.6%
Duplicate rows	1
Duplicate rows (%)	2.9%
Total size in memory	5.6 KiB
Average record size in memory	164.8 B

Variable types

Unsupported	1
Text	18
DateTime	1

Dataset

Description	2023-03-09
Author	주민등록인구통계
URL	https://bigdata.gwangju.go.kr/usr/dataSet/getDataDetailView.rd?dataSetUncd=DS000201926

Alerts

`Unnamed: 12` has constant value ""	Constant
Dataset has 1 (2.9%) duplicate rows	Duplicates
`Unnamed: 0` has 35 (100.0%) missing values	Missing
`인구이동보고서(1호)` has 19 (54.3%) missing values	Missing
`Unnamed: 2` has 24 (68.6%) missing values	Missing
`Unnamed: 3` has 23 (65.7%) missing values	Missing
`Unnamed: 4` has 31 (88.6%) missing values	Missing
`Unnamed: 5` has 2 (5.7%) missing values	Missing
`Unnamed: 6` has 2 (5.7%) missing values	Missing
`Unnamed: 7` has 2 (5.7%) missing values	Missing
`Unnamed: 8` has 2 (5.7%) missing values	Missing
`Unnamed: 9` has 2 (5.7%) missing values	Missing
`Unnamed: 10` has 1 (2.9%) missing values	Missing
`Unnamed: 11` has 2 (5.7%) missing values	Missing
`Unnamed: 12` has 34 (97.1%) missing values	Missing
`Unnamed: 13` has 2 (5.7%) missing values	Missing
`Unnamed: 14` has 2 (5.7%) missing values	Missing
`Unnamed: 15` has 2 (5.7%) missing values	Missing
`Unnamed: 16` has 2 (5.7%) missing values	Missing
`Unnamed: 17` has 2 (5.7%) missing values	Missing
`Unnamed: 18` has 2 (5.7%) missing values	Missing
`Unnamed: 19` has 2 (5.7%) missing values	Missing
`Unnamed: 0` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-02-10 10:08:47.135682
Analysis finished	2024-02-10 10:08:54.092101
Duration	6.96 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

Unnamed: 0
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	35
Missing (%)	100.0%
Memory size	447.0 B

인구이동보고서(1호)
Text

MISSING

Distinct	16
Distinct (%)	100.0%
Missing	19
Missing (%)	54.3%
Memory size	412.0 B

Length

Max length	12
Median length	10.5
Mean length	7.875
Min length	5

Characters and Unicode

Total characters	126
Distinct characters	43
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	16 ?
Unique (%)	100.0%

Sample

1st row	행정기관 :
2nd row	작성기준 :
3rd row	시, 군, 구(읍면동)
4th row	전월말세대수
5th row	전월말인구수

Value	Count	Frequency (%)
요	2	7.7%
인	2	7.7%
	2	7.7%
금월말거주불명자수	1	3.8%
금월말인구수	1	3.8%
금월말세대수	1	3.8%
거주불명자수증감	1	3.8%
인구수증감	1	3.8%
세대수증감	1	3.8%
소	1	3.8%
Other values (13)	13	50.0%

Most occurring characters

Value	Count	Frequency (%)
	12	9.5%
수	11	8.7%
말	8	6.3%
월	8	6.3%
인	5	4.0%
자	5	4.0%
전	4	3.2%
감	4	3.2%
증	4	3.2%
금	4	3.2%
Other values (33)	61	48.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	104	82.5%
Control	12	9.5%
Space Separator	4	3.2%
Other Punctuation	4	3.2%
Open Punctuation	1	0.8%
Close Punctuation	1	0.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
수	11	10.6%
말	8	7.7%
월	8	7.7%
인	5	4.8%
자	5	4.8%
전	4	3.8%
감	4	3.8%
증	4	3.8%
금	4	3.8%
구	4	3.8%
Other values (27)	47	45.2%

Other Punctuation

Value	Count	Frequency (%)
,	2	50.0%
:	2	50.0%

Control

Value	Count	Frequency (%)
	12	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	104	82.5%
Common	22	17.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
수	11	10.6%
말	8	7.7%
월	8	7.7%
인	5	4.8%
자	5	4.8%
전	4	3.8%
감	4	3.8%
증	4	3.8%
금	4	3.8%
구	4	3.8%
Other values (27)	47	45.2%

Common

Value	Count	Frequency (%)
	12	54.5%
	4	18.2%
,	2	9.1%
:	2	9.1%
(	1	4.5%
)	1	4.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	104	82.5%
ASCII	22	17.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12	54.5%
	4	18.2%
,	2	9.1%
:	2	9.1%
(	1	4.5%
)	1	4.5%

Hangul

Value	Count	Frequency (%)
수	11	10.6%
말	8	7.7%
월	8	7.7%
인	5	4.8%
자	5	4.8%
전	4	3.8%
감	4	3.8%
증	4	3.8%
금	4	3.8%
구	4	3.8%
Other values (27)	47	45.2%

Unnamed: 2
Text

MISSING

Distinct	9
Distinct (%)	81.8%
Missing	24
Missing (%)	68.6%
Memory size	412.0 B

Length

Max length	4
Median length	2
Mean length	2.3636364
Min length	2

Characters and Unicode

Total characters	26
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	7 ?
Unique (%)	63.6%

Sample

1st row	전 입
2nd row	복귀
3rd row	출생
4th row	등록
5th row	국외

Value	Count	Frequency (%)
국외	2	15.4%
기타	2	15.4%
전	2	15.4%
입	1	7.7%
복귀	1	7.7%
출생	1	7.7%
등록	1	7.7%
출	1	7.7%
사망	1	7.7%
말소	1	7.7%

Most occurring characters

Value	Count	Frequency (%)
	4	15.4%
국	2	7.7%
기	2	7.7%
타	2	7.7%
전	2	7.7%
외	2	7.7%
출	2	7.7%
록	1	3.8%
말	1	3.8%
망	1	3.8%
Other values (7)	7	26.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	22	84.6%
Control	4	15.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
국	2	9.1%
기	2	9.1%
타	2	9.1%
전	2	9.1%
외	2	9.1%
출	2	9.1%
록	1	4.5%
말	1	4.5%
망	1	4.5%
사	1	4.5%
Other values (6)	6	27.3%

Control

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	22	84.6%
Common	4	15.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
국	2	9.1%
기	2	9.1%
타	2	9.1%
전	2	9.1%
외	2	9.1%
출	2	9.1%
록	1	4.5%
말	1	4.5%
망	1	4.5%
사	1	4.5%
Other values (6)	6	27.3%

Common

Value	Count	Frequency (%)
	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	22	84.6%
ASCII	4	15.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4	100.0%

Hangul

Value	Count	Frequency (%)
국	2	9.1%
기	2	9.1%
타	2	9.1%
전	2	9.1%
외	2	9.1%
출	2	9.1%
록	1	4.5%
말	1	4.5%
망	1	4.5%
사	1	4.5%
Other values (6)	6	27.3%

Unnamed: 3
Text

MISSING

Distinct	7
Distinct (%)	58.3%
Missing	23
Missing (%)	65.7%
Memory size	412.0 B

Length

Max length	10
Median length	9
Mean length	3.4166667
Min length	1

Characters and Unicode

Total characters	41
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	2 ?
Unique (%)	16.7%

Sample

1st row	광주광역시 동구
2nd row	2023.02 현재
3rd row	계
4th row	남자
5th row	여자

Value	Count	Frequency (%)
계	2	14.3%
남자	2	14.3%
여자	2	14.3%
시도내	2	14.3%
시도간	2	14.3%
광주광역시	1	7.1%
동구	1	7.1%
2023.02	1	7.1%
현재	1	7.1%

Most occurring characters

Value	Count	Frequency (%)
시	5	12.2%
자	4	9.8%
도	4	9.8%
	3	7.3%
2	3	7.3%
계	2	4.9%
0	2	4.9%
여	2	4.9%
내	2	4.9%
간	2	4.9%
Other values (10)	12	29.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	31	75.6%
Decimal Number	6	14.6%
Space Separator	3	7.3%
Other Punctuation	1	2.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	5	16.1%
자	4	12.9%
도	4	12.9%
계	2	6.5%
여	2	6.5%
내	2	6.5%
간	2	6.5%
광	2	6.5%
남	2	6.5%
현	1	3.2%
Other values (5)	5	16.1%

Decimal Number

Value	Count	Frequency (%)
2	3	50.0%
0	2	33.3%
3	1	16.7%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	31	75.6%
Common	10	24.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	5	16.1%
자	4	12.9%
도	4	12.9%
계	2	6.5%
여	2	6.5%
내	2	6.5%
간	2	6.5%
광	2	6.5%
남	2	6.5%
현	1	3.2%
Other values (5)	5	16.1%

Common

Value	Count	Frequency (%)
	3	30.0%
2	3	30.0%
0	2	20.0%
.	1	10.0%
3	1	10.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	31	75.6%
ASCII	10	24.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	5	16.1%
자	4	12.9%
도	4	12.9%
계	2	6.5%
여	2	6.5%
내	2	6.5%
간	2	6.5%
광	2	6.5%
남	2	6.5%
현	1	3.2%
Other values (5)	5	16.1%

ASCII

Value	Count	Frequency (%)
	3	30.0%
2	3	30.0%
0	2	20.0%
.	1	10.0%
3	1	10.0%

Unnamed: 4
Text

MISSING

Distinct	2
Distinct (%)	50.0%
Missing	31
Missing (%)	88.6%
Memory size	412.0 B

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	16
Distinct characters	5
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	시군구내
2nd row	시군구간
3rd row	시군구내
4th row	시군구간

Value	Count	Frequency (%)
시군구내	2	50.0%
시군구간	2	50.0%

Most occurring characters

Value	Count	Frequency (%)
시	4	25.0%
군	4	25.0%
구	4	25.0%
내	2	12.5%
간	2	12.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	16	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	4	25.0%
군	4	25.0%
구	4	25.0%
내	2	12.5%
간	2	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	16	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	4	25.0%
군	4	25.0%
구	4	25.0%
내	2	12.5%
간	2	12.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	16	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	4	25.0%
군	4	25.0%
구	4	25.0%
내	2	12.5%
간	2	12.5%

Unnamed: 5
Text

MISSING

Distinct	27
Distinct (%)	81.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	7
Median length	3
Mean length	3.0909091
Min length	1

Characters and Unicode

Total characters	102
Distinct characters	15
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	24 ?
Unique (%)	72.7%

Sample

1st row	합 계
2nd row	54,094
3rd row	105,887
4th row	725
5th row	105

Value	Count	Frequency (%)
0	5	14.7%
2	2	5.9%
304	2	5.9%
767	1	2.9%
725	1	2.9%
105	1	2.9%
707	1	2.9%
106,101	1	2.9%
54,342	1	2.9%
18	1	2.9%
Other values (18)	18	52.9%

Most occurring characters

Value	Count	Frequency (%)
0	18	17.6%
1	14	13.7%
7	12	11.8%
4	11	10.8%
5	8	7.8%
2	7	6.9%
8	7	6.9%
,	6	5.9%
9	6	5.9%
3	4	3.9%
Other values (5)	9	8.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	91	89.2%
Other Punctuation	6	5.9%
Space Separator	2	2.0%
Other Letter	2	2.0%
Dash Punctuation	1	1.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18	19.8%
1	14	15.4%
7	12	13.2%
4	11	12.1%
5	8	8.8%
2	7	7.7%
8	7	7.7%
9	6	6.6%
3	4	4.4%
6	4	4.4%

Other Letter

Value	Count	Frequency (%)
합	1	50.0%
계	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
,	6	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100	98.0%
Hangul	2	2.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	18	18.0%
1	14	14.0%
7	12	12.0%
4	11	11.0%
5	8	8.0%
2	7	7.0%
8	7	7.0%
,	6	6.0%
9	6	6.0%
3	4	4.0%
Other values (3)	7	7.0%

Hangul

Value	Count	Frequency (%)
합	1	50.0%
계	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100	98.0%
Hangul	2	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	18	18.0%
1	14	14.0%
7	12	12.0%
4	11	11.0%
5	8	8.0%
2	7	7.0%
8	7	7.0%
,	6	6.0%
9	6	6.0%
3	4	4.0%
Other values (3)	7	7.0%

Hangul

Value	Count	Frequency (%)
합	1	50.0%
계	1	50.0%

Unnamed: 6
Text

MISSING

Distinct	25
Distinct (%)	75.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	3
Mean length	2.1212121
Min length	1

Characters and Unicode

Total characters	70
Distinct characters	15
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	22 ?
Unique (%)	66.7%

Sample

1st row	충장동
2nd row	4,036
3rd row	5,157
4th row	39
5th row	7

Value	Count	Frequency (%)
0	7	21.2%
51	2	6.1%
7	2	6.1%
2	1	3.0%
112	1	3.0%
5,213	1	3.0%
4,087	1	3.0%
1	1	3.0%
56	1	3.0%
4	1	3.0%
Other values (15)	15	45.5%

Most occurring characters

Value	Count	Frequency (%)
1	11	15.7%
0	10	14.3%
5	10	14.3%
7	6	8.6%
4	5	7.1%
3	5	7.1%
6	5	7.1%
2	5	7.1%
,	4	5.7%
9	3	4.3%
Other values (5)	6	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	88.6%
Other Punctuation	4	5.7%
Other Letter	3	4.3%
Dash Punctuation	1	1.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	11	17.7%
0	10	16.1%
5	10	16.1%
7	6	9.7%
4	5	8.1%
3	5	8.1%
6	5	8.1%
2	5	8.1%
9	3	4.8%
8	2	3.2%

Other Letter

Value	Count	Frequency (%)
충	1	33.3%
장	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	67	95.7%
Hangul	3	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	11	16.4%
0	10	14.9%
5	10	14.9%
7	6	9.0%
4	5	7.5%
3	5	7.5%
6	5	7.5%
2	5	7.5%
,	4	6.0%
9	3	4.5%
Other values (2)	3	4.5%

Hangul

Value	Count	Frequency (%)
충	1	33.3%
장	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67	95.7%
Hangul	3	4.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	11	16.4%
0	10	14.9%
5	10	14.9%
7	6	9.0%
4	5	7.5%
3	5	7.5%
6	5	7.5%
2	5	7.5%
,	4	6.0%
9	3	4.5%
Other values (2)	3	4.5%

Hangul

Value	Count	Frequency (%)
충	1	33.3%
장	1	33.3%
동	1	33.3%

Unnamed: 7
Text

MISSING

Distinct	25
Distinct (%)	75.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	3
Mean length	2.0909091
Min length	1

Characters and Unicode

Total characters	69
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	21 ?
Unique (%)	63.6%

Sample

1st row	동명동
2nd row	2,419
3rd row	3,725
4th row	117
5th row	7

Value	Count	Frequency (%)
0	6	18.2%
8	2	6.1%
1	2	6.1%
2	2	6.1%
45	2	6.1%
34	1	3.0%
7	1	3.0%
18	1	3.0%
3,733	1	3.0%
2,440	1	3.0%
Other values (14)	14	42.4%

Most occurring characters

Value	Count	Frequency (%)
2	10	14.5%
1	9	13.0%
0	8	11.6%
4	8	11.6%
5	8	11.6%
3	6	8.7%
8	5	7.2%
7	5	7.2%
,	4	5.8%
동	2	2.9%
Other values (3)	4	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61	88.4%
Other Punctuation	4	5.8%
Other Letter	3	4.3%
Dash Punctuation	1	1.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	10	16.4%
1	9	14.8%
0	8	13.1%
4	8	13.1%
5	8	13.1%
3	6	9.8%
8	5	8.2%
7	5	8.2%
9	2	3.3%

Other Letter

Value	Count	Frequency (%)
동	2	66.7%
명	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	66	95.7%
Hangul	3	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	10	15.2%
1	9	13.6%
0	8	12.1%
4	8	12.1%
5	8	12.1%
3	6	9.1%
8	5	7.6%
7	5	7.6%
,	4	6.1%
9	2	3.0%

Hangul

Value	Count	Frequency (%)
동	2	66.7%
명	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66	95.7%
Hangul	3	4.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	10	15.2%
1	9	13.6%
0	8	12.1%
4	8	12.1%
5	8	12.1%
3	6	9.1%
8	5	7.6%
7	5	7.6%
,	4	6.1%
9	2	3.0%

Hangul

Value	Count	Frequency (%)
동	2	66.7%
명	1	33.3%

Unnamed: 8
Text

MISSING

Distinct	26
Distinct (%)	78.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	6
Median length	5
Mean length	2.3333333
Min length	1

Characters and Unicode

Total characters	77
Distinct characters	15
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	24 ?
Unique (%)	72.7%

Sample

1st row	계림1동
2nd row	5,802
3rd row	10,524
4th row	79
5th row	12

Value	Count	Frequency (%)
0	7	21.2%
12	2	6.1%
82	1	3.0%
10,568	1	3.0%
5,812	1	3.0%
3	1	3.0%
44	1	3.0%
10	1	3.0%
5	1	3.0%
50	1	3.0%
Other values (16)	16	48.5%

Most occurring characters

Value	Count	Frequency (%)
0	15	19.5%
1	10	13.0%
2	9	11.7%
5	8	10.4%
8	5	6.5%
3	5	6.5%
6	5	6.5%
9	4	5.2%
,	4	5.2%
4	4	5.2%
Other values (5)	8	10.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	69	89.6%
Other Punctuation	4	5.2%
Other Letter	3	3.9%
Dash Punctuation	1	1.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	15	21.7%
1	10	14.5%
2	9	13.0%
5	8	11.6%
8	5	7.2%
3	5	7.2%
6	5	7.2%
9	4	5.8%
4	4	5.8%
7	4	5.8%

Other Letter

Value	Count	Frequency (%)
계	1	33.3%
림	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	74	96.1%
Hangul	3	3.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	15	20.3%
1	10	13.5%
2	9	12.2%
5	8	10.8%
8	5	6.8%
3	5	6.8%
6	5	6.8%
9	4	5.4%
,	4	5.4%
4	4	5.4%
Other values (2)	5	6.8%

Hangul

Value	Count	Frequency (%)
계	1	33.3%
림	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	74	96.1%
Hangul	3	3.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	15	20.3%
1	10	13.5%
2	9	12.2%
5	8	10.8%
8	5	6.8%
3	5	6.8%
6	5	6.8%
9	4	5.4%
,	4	5.4%
4	4	5.4%
Other values (2)	5	6.8%

Hangul

Value	Count	Frequency (%)
계	1	33.3%
림	1	33.3%
동	1	33.3%

Unnamed: 9
Text

MISSING

Distinct	22
Distinct (%)	66.7%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	6
Median length	5
Mean length	2.3333333
Min length	1

Characters and Unicode

Total characters	77
Distinct characters	14
Distinct categories	3 ?
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 (%)	54.5%

Sample

1st row	계림2동
2nd row	5,453
3rd row	12,987
4th row	28
5th row	12

Value	Count	Frequency (%)
0	8	24.2%
28	3	9.1%
12	2	6.1%
115	2	6.1%
6	1	3.0%
94	1	3.0%
5,477	1	3.0%
56	1	3.0%
24	1	3.0%
5	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
0	11	14.3%
2	11	14.3%
1	11	14.3%
5	9	11.7%
3	6	7.8%
8	5	6.5%
4	5	6.5%
7	5	6.5%
,	4	5.2%
6	4	5.2%
Other values (4)	6	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	70	90.9%
Other Punctuation	4	5.2%
Other Letter	3	3.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11	15.7%
2	11	15.7%
1	11	15.7%
5	9	12.9%
3	6	8.6%
8	5	7.1%
4	5	7.1%
7	5	7.1%
6	4	5.7%
9	3	4.3%

Other Letter

Value	Count	Frequency (%)
계	1	33.3%
림	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	74	96.1%
Hangul	3	3.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11	14.9%
2	11	14.9%
1	11	14.9%
5	9	12.2%
3	6	8.1%
8	5	6.8%
4	5	6.8%
7	5	6.8%
,	4	5.4%
6	4	5.4%

Hangul

Value	Count	Frequency (%)
계	1	33.3%
림	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	74	96.1%
Hangul	3	3.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11	14.9%
2	11	14.9%
1	11	14.9%
5	9	12.2%
3	6	8.1%
8	5	6.8%
4	5	6.8%
7	5	6.8%
,	4	5.4%
6	4	5.4%

Hangul

Value	Count	Frequency (%)
계	1	33.3%
림	1	33.3%
동	1	33.3%

Unnamed: 10
Text

MISSING

Distinct	24
Distinct (%)	70.6%
Missing	1
Missing (%)	2.9%
Memory size	412.0 B

Length

Max length	6
Median length	5
Mean length	2.2352941
Min length	1

Characters and Unicode

Total characters	76
Distinct characters	21
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	21 ?
Unique (%)	61.8%

Sample

1st row	출력일자 :
2nd row	산수1동
3rd row	4,404
4th row	8,199
5th row	64

Value	Count	Frequency (%)
0	8	22.9%
6	3	8.6%
4,404	2	5.7%
56	1	2.9%
	1	2.9%
출력일자	1	2.9%
2	1	2.9%
8,191	1	2.9%
1	1	2.9%
8	1	2.9%
Other values (15)	15	42.9%

Most occurring characters

Value	Count	Frequency (%)
0	11	14.5%
4	10	13.2%
1	9	11.8%
5	6	7.9%
6	6	7.9%
3	5	6.6%
7	4	5.3%
9	4	5.3%
,	4	5.3%
8	3	3.9%
Other values (11)	14	18.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61	80.3%
Other Letter	7	9.2%
Other Punctuation	5	6.6%
Dash Punctuation	2	2.6%
Space Separator	1	1.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11	18.0%
4	10	16.4%
1	9	14.8%
5	6	9.8%
6	6	9.8%
3	5	8.2%
7	4	6.6%
9	4	6.6%
8	3	4.9%
2	3	4.9%

Other Letter

Value	Count	Frequency (%)
동	1	14.3%
수	1	14.3%
산	1	14.3%
출	1	14.3%
력	1	14.3%
일	1	14.3%
자	1	14.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	80.0%
:	1	20.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	69	90.8%
Hangul	7	9.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11	15.9%
4	10	14.5%
1	9	13.0%
5	6	8.7%
6	6	8.7%
3	5	7.2%
7	4	5.8%
9	4	5.8%
,	4	5.8%
8	3	4.3%
Other values (4)	7	10.1%

Hangul

Value	Count	Frequency (%)
동	1	14.3%
수	1	14.3%
산	1	14.3%
출	1	14.3%
력	1	14.3%
일	1	14.3%
자	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69	90.8%
Hangul	7	9.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11	15.9%
4	10	14.5%
1	9	13.0%
5	6	8.7%
6	6	8.7%
3	5	7.2%
7	4	5.8%
9	4	5.8%
,	4	5.8%
8	3	4.3%
Other values (4)	7	10.1%

Hangul

Value	Count	Frequency (%)
동	1	14.3%
수	1	14.3%
산	1	14.3%
출	1	14.3%
력	1	14.3%
일	1	14.3%
자	1	14.3%

Unnamed: 11
Text

MISSING

Distinct	26
Distinct (%)	78.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	6
Median length	5
Mean length	2.2424242
Min length	1

Characters and Unicode

Total characters	74
Distinct characters	15
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	23 ?
Unique (%)	69.7%

Sample

1st row	산수2동
2nd row	4,741
3rd row	10,077
4th row	30
5th row	6

Value	Count	Frequency (%)
0	6	18.2%
1	3	9.1%
6	2	6.1%
69	1	3.0%
30	1	3.0%
76	1	3.0%
10,017	1	3.0%
4,729	1	3.0%
60	1	3.0%
12	1	3.0%
Other values (15)	15	45.5%

Most occurring characters

Value	Count	Frequency (%)
0	12	16.2%
1	12	16.2%
7	9	12.2%
6	8	10.8%
4	6	8.1%
2	6	8.1%
3	5	6.8%
,	4	5.4%
9	4	5.4%
-	3	4.1%
Other values (5)	5	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	86.5%
Other Punctuation	4	5.4%
Dash Punctuation	3	4.1%
Other Letter	3	4.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12	18.8%
1	12	18.8%
7	9	14.1%
6	8	12.5%
4	6	9.4%
2	6	9.4%
3	5	7.8%
9	4	6.2%
5	1	1.6%
8	1	1.6%

Other Letter

Value	Count	Frequency (%)
산	1	33.3%
수	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	71	95.9%
Hangul	3	4.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12	16.9%
1	12	16.9%
7	9	12.7%
6	8	11.3%
4	6	8.5%
2	6	8.5%
3	5	7.0%
,	4	5.6%
9	4	5.6%
-	3	4.2%
Other values (2)	2	2.8%

Hangul

Value	Count	Frequency (%)
산	1	33.3%
수	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71	95.9%
Hangul	3	4.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12	16.9%
1	12	16.9%
7	9	12.7%
6	8	11.3%
4	6	8.5%
2	6	8.5%
3	5	7.0%
,	4	5.6%
9	4	5.6%
-	3	4.2%
Other values (2)	2	2.8%

Hangul

Value	Count	Frequency (%)
산	1	33.3%
수	1	33.3%
동	1	33.3%

Unnamed: 12
Date

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	34
Missing (%)	97.1%
Memory size	412.0 B

Minimum	2023-03-02 00:00:00
Maximum	2023-03-02 00:00:00

Histogram

Histogram with fixed size bins (bins=1)

Unnamed: 13
Text

MISSING

Distinct	21
Distinct (%)	63.6%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	4
Mean length	2.030303
Min length	1

Characters and Unicode

Total characters	67
Distinct characters	13
Distinct categories	3 ?
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	16 ?
Unique (%)	48.5%

Sample

1st row	지산1동
2nd row	2,429
3rd row	4,126
4th row	40
5th row	3

Value	Count	Frequency (%)
0	8	24.2%
3	3	9.1%
40	2	6.1%
57	2	6.1%
50	2	6.1%
62	1	3.0%
20	1	3.0%
4,129	1	3.0%
2,435	1	3.0%
1	1	3.0%
Other values (11)	11	33.3%

Most occurring characters

Value	Count	Frequency (%)
0	14	20.9%
2	9	13.4%
4	7	10.4%
1	7	10.4%
7	6	9.0%
5	5	7.5%
3	4	6.0%
9	4	6.0%
,	4	6.0%
6	4	6.0%
Other values (3)	3	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60	89.6%
Other Punctuation	4	6.0%
Other Letter	3	4.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14	23.3%
2	9	15.0%
4	7	11.7%
1	7	11.7%
7	6	10.0%
5	5	8.3%
3	4	6.7%
9	4	6.7%
6	4	6.7%

Other Letter

Value	Count	Frequency (%)
지	1	33.3%
산	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	95.5%
Hangul	3	4.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	14	21.9%
2	9	14.1%
4	7	10.9%
1	7	10.9%
7	6	9.4%
5	5	7.8%
3	4	6.2%
9	4	6.2%
,	4	6.2%
6	4	6.2%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
산	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	95.5%
Hangul	3	4.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	14	21.9%
2	9	14.1%
4	7	10.9%
1	7	10.9%
7	6	9.4%
5	5	7.8%
3	4	6.2%
9	4	6.2%
,	4	6.2%
6	4	6.2%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
산	1	33.3%
동	1	33.3%

Unnamed: 14
Text

MISSING

Distinct	25
Distinct (%)	75.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	4
Mean length	2.030303
Min length	1

Characters and Unicode

Total characters	67
Distinct characters	15
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	22 ?
Unique (%)	66.7%

Sample

1st row	지산2동
2nd row	2,373
3rd row	4,380
4th row	10
5th row	6

Value	Count	Frequency (%)
0	7	21.2%
9	2	6.1%
1	2	6.1%
6	2	6.1%
37	1	3.0%
52	1	3.0%
2,381	1	3.0%
12	1	3.0%
8	1	3.0%
3	1	3.0%
Other values (14)	14	42.4%

Most occurring characters

Value	Count	Frequency (%)
3	11	16.4%
0	9	13.4%
2	8	11.9%
1	6	9.0%
6	5	7.5%
8	5	7.5%
9	4	6.0%
,	4	6.0%
4	4	6.0%
7	3	4.5%
Other values (5)	8	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	58	86.6%
Other Punctuation	4	6.0%
Other Letter	3	4.5%
Dash Punctuation	2	3.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	11	19.0%
0	9	15.5%
2	8	13.8%
1	6	10.3%
6	5	8.6%
8	5	8.6%
9	4	6.9%
4	4	6.9%
7	3	5.2%
5	3	5.2%

Other Letter

Value	Count	Frequency (%)
지	1	33.3%
산	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64	95.5%
Hangul	3	4.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	11	17.2%
0	9	14.1%
2	8	12.5%
1	6	9.4%
6	5	7.8%
8	5	7.8%
9	4	6.2%
,	4	6.2%
4	4	6.2%
7	3	4.7%
Other values (2)	5	7.8%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
산	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64	95.5%
Hangul	3	4.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	11	17.2%
0	9	14.1%
2	8	12.5%
1	6	9.4%
6	5	7.8%
8	5	7.8%
9	4	6.2%
,	4	6.2%
4	4	6.2%
7	3	4.7%
Other values (2)	5	7.8%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
산	1	33.3%
동	1	33.3%

Unnamed: 15
Text

MISSING

Distinct	24
Distinct (%)	72.7%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	3
Mean length	2.1212121
Min length	1

Characters and Unicode

Total characters	70
Distinct characters	15
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	21 ?
Unique (%)	63.6%

Sample

1st row	서남동
2nd row	2,210
3rd row	2,949
4th row	55
5th row	3

Value	Count	Frequency (%)
0	8	24.2%
3	2	6.1%
62	2	6.1%
42	1	3.0%
55	1	3.0%
21	1	3.0%
2,969	1	3.0%
2,241	1	3.0%
1	1	3.0%
20	1	3.0%
Other values (14)	14	42.4%

Most occurring characters

Value	Count	Frequency (%)
2	12	17.1%
0	11	15.7%
1	11	15.7%
5	8	11.4%
3	5	7.1%
6	4	5.7%
,	4	5.7%
9	4	5.7%
4	4	5.7%
7	2	2.9%
Other values (5)	5	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	88.6%
Other Punctuation	4	5.7%
Other Letter	3	4.3%
Dash Punctuation	1	1.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	12	19.4%
0	11	17.7%
1	11	17.7%
5	8	12.9%
3	5	8.1%
6	4	6.5%
9	4	6.5%
4	4	6.5%
7	2	3.2%
8	1	1.6%

Other Letter

Value	Count	Frequency (%)
서	1	33.3%
남	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	67	95.7%
Hangul	3	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	12	17.9%
0	11	16.4%
1	11	16.4%
5	8	11.9%
3	5	7.5%
6	4	6.0%
,	4	6.0%
9	4	6.0%
4	4	6.0%
7	2	3.0%
Other values (2)	2	3.0%

Hangul

Value	Count	Frequency (%)
서	1	33.3%
남	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67	95.7%
Hangul	3	4.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	12	17.9%
0	11	16.4%
1	11	16.4%
5	8	11.9%
3	5	7.5%
6	4	6.0%
,	4	6.0%
9	4	6.0%
4	4	6.0%
7	2	3.0%
Other values (2)	2	3.0%

Hangul

Value	Count	Frequency (%)
서	1	33.3%
남	1	33.3%
동	1	33.3%

Unnamed: 16
Text

MISSING

Distinct	25
Distinct (%)	75.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	3
Mean length	2.1818182
Min length	1

Characters and Unicode

Total characters	72
Distinct characters	14
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	22 ?
Unique (%)	66.7%

Sample

1st row	학동
2nd row	3,539
3rd row	7,436
4th row	90
5th row	9

Value	Count	Frequency (%)
0	7	21.2%
43	2	6.1%
9	2	6.1%
2	1	3.0%
75	1	3.0%
7,394	1	3.0%
3,524	1	3.0%
10	1	3.0%
42	1	3.0%
15	1	3.0%
Other values (15)	15	45.5%

Most occurring characters

Value	Count	Frequency (%)
0	11	15.3%
4	10	13.9%
3	8	11.1%
5	8	11.1%
1	7	9.7%
9	6	8.3%
7	6	8.3%
,	4	5.6%
2	4	5.6%
-	3	4.2%
Other values (4)	5	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63	87.5%
Other Punctuation	4	5.6%
Dash Punctuation	3	4.2%
Other Letter	2	2.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11	17.5%
4	10	15.9%
3	8	12.7%
5	8	12.7%
1	7	11.1%
9	6	9.5%
7	6	9.5%
2	4	6.3%
6	2	3.2%
8	1	1.6%

Other Letter

Value	Count	Frequency (%)
학	1	50.0%
동	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	70	97.2%
Hangul	2	2.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11	15.7%
4	10	14.3%
3	8	11.4%
5	8	11.4%
1	7	10.0%
9	6	8.6%
7	6	8.6%
,	4	5.7%
2	4	5.7%
-	3	4.3%
Other values (2)	3	4.3%

Hangul

Value	Count	Frequency (%)
학	1	50.0%
동	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70	97.2%
Hangul	2	2.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11	15.7%
4	10	14.3%
3	8	11.4%
5	8	11.4%
1	7	10.0%
9	6	8.6%
7	6	8.6%
,	4	5.7%
2	4	5.7%
-	3	4.3%
Other values (2)	3	4.3%

Hangul

Value	Count	Frequency (%)
학	1	50.0%
동	1	50.0%

Unnamed: 17
Text

MISSING

Distinct	25
Distinct (%)	75.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	6
Median length	5
Mean length	2.2424242
Min length	1

Characters and Unicode

Total characters	74
Distinct characters	15
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	21 ?
Unique (%)	63.6%

Sample

1st row	학운동
2nd row	5,219
3rd row	11,210
4th row	44
5th row	19

Value	Count	Frequency (%)
0	6	18.2%
62	2	6.1%
2	2	6.1%
44	2	6.1%
55	1	3.0%
29	1	3.0%
45	1	3.0%
11,200	1	3.0%
5,214	1	3.0%
1	1	3.0%
Other values (15)	15	45.5%

Most occurring characters

Value	Count	Frequency (%)
1	13	17.6%
2	12	16.2%
0	11	14.9%
4	8	10.8%
5	7	9.5%
6	4	5.4%
,	4	5.4%
9	3	4.1%
7	3	4.1%
3	3	4.1%
Other values (5)	6	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	65	87.8%
Other Punctuation	4	5.4%
Other Letter	3	4.1%
Dash Punctuation	2	2.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13	20.0%
2	12	18.5%
0	11	16.9%
4	8	12.3%
5	7	10.8%
6	4	6.2%
9	3	4.6%
7	3	4.6%
3	3	4.6%
8	1	1.5%

Other Letter

Value	Count	Frequency (%)
학	1	33.3%
운	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	71	95.9%
Hangul	3	4.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	13	18.3%
2	12	16.9%
0	11	15.5%
4	8	11.3%
5	7	9.9%
6	4	5.6%
,	4	5.6%
9	3	4.2%
7	3	4.2%
3	3	4.2%
Other values (2)	3	4.2%

Hangul

Value	Count	Frequency (%)
학	1	33.3%
운	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71	95.9%
Hangul	3	4.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	13	18.3%
2	12	16.9%
0	11	15.5%
4	8	11.3%
5	7	9.9%
6	4	5.6%
,	4	5.6%
9	3	4.2%
7	3	4.2%
3	3	4.2%
Other values (2)	3	4.2%

Hangul

Value	Count	Frequency (%)
학	1	33.3%
운	1	33.3%
동	1	33.3%

Unnamed: 18
Text

MISSING

Distinct	22
Distinct (%)	66.7%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	4
Mean length	2.0606061
Min length	1

Characters and Unicode

Total characters	68
Distinct characters	14
Distinct categories	3 ?
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 (%)	54.5%

Sample

1st row	지원1동
2nd row	4,196
3rd row	8,994
4th row	21
5th row	8

Value	Count	Frequency (%)
0	8	24.2%
8	3	9.1%
21	2	6.1%
35	2	6.1%
26	1	3.0%
44	1	3.0%
4,203	1	3.0%
30	1	3.0%
7	1	3.0%
6	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
0	12	17.6%
4	9	13.2%
2	8	11.8%
6	7	10.3%
8	5	7.4%
1	5	7.4%
3	5	7.4%
9	5	7.4%
5	4	5.9%
,	4	5.9%
Other values (4)	4	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61	89.7%
Other Punctuation	4	5.9%
Other Letter	3	4.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12	19.7%
4	9	14.8%
2	8	13.1%
6	7	11.5%
8	5	8.2%
1	5	8.2%
3	5	8.2%
9	5	8.2%
5	4	6.6%
7	1	1.6%

Other Letter

Value	Count	Frequency (%)
지	1	33.3%
원	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	65	95.6%
Hangul	3	4.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12	18.5%
4	9	13.8%
2	8	12.3%
6	7	10.8%
8	5	7.7%
1	5	7.7%
3	5	7.7%
9	5	7.7%
5	4	6.2%
,	4	6.2%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
원	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65	95.6%
Hangul	3	4.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12	18.5%
4	9	13.8%
2	8	12.3%
6	7	10.8%
8	5	7.7%
1	5	7.7%
3	5	7.7%
9	5	7.7%
5	4	6.2%
,	4	6.2%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
원	1	33.3%
동	1	33.3%

Unnamed: 19
Text

MISSING

Distinct	24
Distinct (%)	72.7%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	6
Median length	5
Mean length	2.5757576
Min length	1

Characters and Unicode

Total characters	85
Distinct characters	14
Distinct categories	3 ?
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	21 ?
Unique (%)	63.6%

Sample

1st row	지원2동
2nd row	7,273
3rd row	16,123
4th row	108
5th row	7

Value	Count	Frequency (%)
0	8	24.2%
108	2	6.1%
7	2	6.1%
53	1	3.0%
16,123	1	3.0%
137	1	3.0%
7,395	1	3.0%
129	1	3.0%
122	1	3.0%
10	1	3.0%
Other values (14)	14	42.4%

Most occurring characters

Value	Count	Frequency (%)
1	18	21.2%
0	13	15.3%
2	13	15.3%
7	11	12.9%
3	8	9.4%
9	4	4.7%
,	4	4.7%
8	3	3.5%
5	3	3.5%
4	3	3.5%
Other values (4)	5	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	78	91.8%
Other Punctuation	4	4.7%
Other Letter	3	3.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	18	23.1%
0	13	16.7%
2	13	16.7%
7	11	14.1%
3	8	10.3%
9	4	5.1%
8	3	3.8%
5	3	3.8%
4	3	3.8%
6	2	2.6%

Other Letter

Value	Count	Frequency (%)
지	1	33.3%
원	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	82	96.5%
Hangul	3	3.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	18	22.0%
0	13	15.9%
2	13	15.9%
7	11	13.4%
3	8	9.8%
9	4	4.9%
,	4	4.9%
8	3	3.7%
5	3	3.7%
4	3	3.7%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
원	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82	96.5%
Hangul	3	3.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	18	22.0%
0	13	15.9%
2	13	15.9%
7	11	13.4%
3	8	9.8%
9	4	4.9%
,	4	4.9%
8	3	3.7%
5	3	3.7%
4	3	3.7%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
원	1	33.3%
동	1	33.3%

Phik (φk)

Heatmap
Table

	인구이동보고서(1호)	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10	Unnamed: 11	Unnamed: 13	Unnamed: 14	Unnamed: 15	Unnamed: 16	Unnamed: 17	Unnamed: 18	Unnamed: 19
인구이동보고서(1호)	1.000	0.000	1.000	NaN	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
Unnamed: 2	0.000	1.000	NaN	NaN	0.972	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.920	1.000	1.000
Unnamed: 3	1.000	NaN	1.000	NaN	1.000	1.000	1.000	1.000	0.790	1.000	1.000	0.865	1.000	1.000	1.000	0.790	1.000	1.000
Unnamed: 4	NaN	NaN	NaN	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.000	1.000
Unnamed: 5	1.000	0.972	1.000	1.000	1.000	0.994	0.991	0.994	0.995	0.992	0.992	0.991	0.995	0.993	0.994	0.991	0.994	0.993
Unnamed: 6	1.000	1.000	1.000	1.000	0.994	1.000	0.996	1.000	0.993	0.997	0.997	0.995	0.999	0.995	0.999	0.995	0.993	0.995
Unnamed: 7	1.000	1.000	1.000	1.000	0.991	0.996	1.000	0.992	0.982	0.982	0.996	0.997	0.996	0.996	0.996	0.994	0.984	0.983
Unnamed: 8	1.000	1.000	1.000	1.000	0.994	1.000	0.992	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.990	1.000	1.000
Unnamed: 9	1.000	1.000	0.790	1.000	0.995	0.993	0.982	1.000	1.000	0.976	0.996	0.973	1.000	0.988	0.993	0.991	0.998	1.000
Unnamed: 10	1.000	1.000	1.000	1.000	0.992	0.997	0.982	1.000	0.976	1.000	0.996	0.973	0.994	0.987	0.994	0.977	0.977	0.987
Unnamed: 11	1.000	1.000	1.000	1.000	0.992	0.997	0.996	1.000	0.996	0.996	1.000	1.000	0.997	1.000	0.997	0.987	0.999	0.997
Unnamed: 13	1.000	1.000	0.865	1.000	0.991	0.995	0.997	1.000	0.973	0.973	1.000	1.000	0.992	0.997	0.995	0.990	0.975	0.987
Unnamed: 14	1.000	1.000	1.000	1.000	0.995	0.999	0.996	1.000	1.000	0.994	0.997	0.992	1.000	0.995	0.999	0.995	0.997	0.996
Unnamed: 15	1.000	1.000	1.000	1.000	0.993	0.995	0.996	1.000	0.988	0.987	1.000	0.997	0.995	1.000	0.995	0.989	0.991	0.997
Unnamed: 16	1.000	1.000	1.000	1.000	0.994	0.999	0.996	1.000	0.993	0.994	0.997	0.995	0.999	0.995	1.000	0.996	0.993	0.995
Unnamed: 17	1.000	0.920	0.790	1.000	0.991	0.995	0.994	0.990	0.991	0.977	0.987	0.990	0.995	0.989	0.996	1.000	0.983	0.983
Unnamed: 18	1.000	1.000	1.000	0.000	0.994	0.993	0.984	1.000	0.998	0.977	0.999	0.975	0.997	0.991	0.993	0.983	1.000	1.000
Unnamed: 19	1.000	1.000	1.000	1.000	0.993	0.995	0.983	1.000	1.000	0.987	0.997	0.987	0.996	0.997	0.995	0.983	1.000	1.000

A simple visualization of nullity by column.

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

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

First rows
Last rows

	Unnamed: 0	인구이동보고서(1호)	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10	Unnamed: 11	Unnamed: 12	Unnamed: 13	Unnamed: 14	Unnamed: 15	Unnamed: 16	Unnamed: 17	Unnamed: 18	Unnamed: 19
0	<NA>	행정기관 :	<NA>	광주광역시 동구	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	출력일자 :	<NA>	2023.03.02	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
1	<NA>	작성기준 :	<NA>	2023.02 현재	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
2	<NA>	시, 군, 구(읍면동)	<NA>	<NA>	<NA>	합 계	충장동	동명동	계림1동	계림2동	산수1동	산수2동	<NA>	지산1동	지산2동	서남동	학동	학운동	지원1동	지원2동
3	<NA>	전월말세대수	<NA>	<NA>	<NA>	54,094	4,036	2,419	5,802	5,453	4,404	4,741	<NA>	2,429	2,373	2,210	3,539	5,219	4,196	7,273
4	<NA>	전월말인구수	<NA>	<NA>	<NA>	105,887	5,157	3,725	10,524	12,987	8,199	10,077	<NA>	4,126	4,380	2,949	7,436	11,210	8,994	16,123
5	<NA>	전월말거주불명자수	<NA>	<NA>	<NA>	725	39	117	79	28	64	30	<NA>	40	10	55	90	44	21	108
6	<NA>	전월말재외국민등록자수	<NA>	<NA>	<NA>	105	7	7	12	12	6	6	<NA>	3	6	3	9	19	8	7
7	<NA>	증 가 요 인	전 입	계	<NA>	1,958	170	95	202	230	107	77	<NA>	107	79	138	105	124	126	398
8	<NA>	<NA>	<NA>	남자	<NA>	967	76	50	103	115	53	36	<NA>	57	46	76	54	62	62	177
9	<NA>	<NA>	<NA>	여자	<NA>	991	94	45	99	115	54	41	<NA>	50	33	62	51	62	64	221

	Unnamed: 0	인구이동보고서(1호)	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10	Unnamed: 11	Unnamed: 12	Unnamed: 13	Unnamed: 14	Unnamed: 15	Unnamed: 16	Unnamed: 17	Unnamed: 18	Unnamed: 19
25	<NA>	<NA>	말소	<NA>	<NA>	0	0	0	0	0	0	0	<NA>	0	0	0	0	0	0	0
26	<NA>	<NA>	국외	<NA>	<NA>	0	0	0	0	0	0	0	<NA>	0	0	0	0	0	0	0
27	<NA>	<NA>	기타	<NA>	<NA>	0	0	0	0	0	0	0	<NA>	0	0	0	0	0	0	0
28	<NA>	세대수증감	<NA>	<NA>	<NA>	248	51	21	10	24	0	-12	<NA>	6	8	31	-15	-5	7	122
29	<NA>	인구수증감	<NA>	<NA>	<NA>	214	56	8	44	56	-8	-60	<NA>	3	-12	20	-42	-10	30	129
30	<NA>	거주불명자수증감	<NA>	<NA>	<NA>	-18	-1	-2	-3	0	-1	-1	<NA>	1	-1	-1	-10	1	0	0
31	<NA>	금월말세대수	<NA>	<NA>	<NA>	54,342	4,087	2,440	5,812	5,477	4,404	4,729	<NA>	2,435	2,381	2,241	3,524	5,214	4,203	7,395
32	<NA>	금월말인구수	<NA>	<NA>	<NA>	106,101	5,213	3,733	10,568	13,043	8,191	10,017	<NA>	4,129	4,368	2,969	7,394	11,200	9,024	16,252
33	<NA>	금월말거주불명자수	<NA>	<NA>	<NA>	707	38	115	76	28	63	29	<NA>	41	9	54	80	45	21	108
34	<NA>	금월말재외국민등록자수	<NA>	<NA>	<NA>	107	7	8	12	12	6	6	<NA>	3	6	3	9	20	8	7

Most frequently occurring

	인구이동보고서(1호)	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10	Unnamed: 11	Unnamed: 12	Unnamed: 13	Unnamed: 14	Unnamed: 15	Unnamed: 16	Unnamed: 17	Unnamed: 18	Unnamed: 19	# duplicates
0	<NA>	기타	<NA>	<NA>	0	0	0	0	0	0	0	<NA>	0	0	0	0	0	0	0	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Other Punctuation

Control

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Control

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Most occurring scripts

Most frequent character per script

Hangul

Most occurring blocks

Most frequent character per block

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Other Punctuation

Dash Punctuation