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	2022-04-15
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 10:02:43.697903
Analysis finished	2024-02-10 10:02:50.025090
Duration	6.33 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	2022.03 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%
2022.03	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%
3	1	10.0%
.	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%
3	1	10.0%
.	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	28
Distinct (%)	84.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	7
Median length	6
Mean length	3.030303
Min length	1

Characters and Unicode

Total characters	100
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	25 ?
Unique (%)	75.8%

Sample

1st row	합 계
2nd row	52,514
3rd row	103,299
4th row	871
5th row	96

Value	Count	Frequency (%)
0	4	11.8%
1	2	5.9%
229	2	5.9%
753	1	2.9%
1,538	1	2.9%
867	1	2.9%
103,081	1	2.9%
52,484	1	2.9%
4	1	2.9%
218	1	2.9%
Other values (19)	19	55.9%

Most occurring characters

Value	Count	Frequency (%)
5	13	13.0%
1	11	11.0%
9	10	10.0%
0	9	9.0%
2	9	9.0%
8	9	9.0%
3	8	8.0%
4	7	7.0%
,	6	6.0%
6	6	6.0%
Other values (5)	12	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	87	87.0%
Other Punctuation	6	6.0%
Dash Punctuation	3	3.0%
Space Separator	2	2.0%
Other Letter	2	2.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	13	14.9%
1	11	12.6%
9	10	11.5%
0	9	10.3%
2	9	10.3%
8	9	10.3%
3	8	9.2%
4	7	8.0%
6	6	6.9%
7	5	5.7%

Other Letter

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

Other Punctuation

Value	Count	Frequency (%)
,	6	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	98	98.0%
Hangul	2	2.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	13	13.3%
1	11	11.2%
9	10	10.2%
0	9	9.2%
2	9	9.2%
8	9	9.2%
3	8	8.2%
4	7	7.1%
,	6	6.1%
6	6	6.1%
Other values (3)	10	10.2%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98	98.0%
Hangul	2	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	13	13.3%
1	11	11.2%
9	10	10.2%
0	9	9.2%
2	9	9.2%
8	9	9.2%
3	8	8.2%
4	7	7.1%
,	6	6.1%
6	6	6.1%
Other values (3)	10	10.2%

Hangul

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

Unnamed: 6
Text

MISSING

Distinct	26
Distinct (%)	78.8%
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	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	충장동
2nd row	3,705
3rd row	4,818
4th row	83
5th row	7

Value	Count	Frequency (%)
0	7	21.2%
7	2	6.1%
48	1	3.0%
4,859	1	3.0%
3,740	1	3.0%
2	1	3.0%
41	1	3.0%
35	1	3.0%
5	1	3.0%
38	1	3.0%
Other values (16)	16	48.5%

Most occurring characters

Value	Count	Frequency (%)
0	10	14.5%
1	10	14.5%
7	8	11.6%
5	8	11.6%
8	8	11.6%
4	7	10.1%
3	6	8.7%
,	4	5.8%
9	2	2.9%
6	1	1.4%
Other values (5)	5	7.2%

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 (%)
0	10	16.4%
1	10	16.4%
7	8	13.1%
5	8	13.1%
8	8	13.1%
4	7	11.5%
3	6	9.8%
9	2	3.3%
6	1	1.6%
2	1	1.6%

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	66	95.7%
Hangul	3	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	15.2%
1	10	15.2%
7	8	12.1%
5	8	12.1%
8	8	12.1%
4	7	10.6%
3	6	9.1%
,	4	6.1%
9	2	3.0%
6	1	1.5%
Other values (2)	2	3.0%

Hangul

Value	Count	Frequency (%)
충	1	33.3%
장	1	33.3%
동	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 (%)
0	10	15.2%
1	10	15.2%
7	8	12.1%
5	8	12.1%
8	8	12.1%
4	7	10.6%
3	6	9.1%
,	4	6.1%
9	2	3.0%
6	1	1.5%
Other values (2)	2	3.0%

Hangul

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

Unnamed: 7
Text

MISSING

Distinct	23
Distinct (%)	69.7%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	3
Mean length	2.2121212
Min length	1

Characters and Unicode

Total characters	73
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	19 ?
Unique (%)	57.6%

Sample

1st row	동명동
2nd row	2,496
3rd row	3,887
4th row	113
5th row	6

Value	Count	Frequency (%)
0	8	24.2%
6	2	6.1%
113	2	6.1%
34	2	6.1%
36	2	6.1%
3	1	3.0%
3,887	1	3.0%
19	1	3.0%
3,853	1	3.0%
2,473	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
3	12	16.4%
0	9	12.3%
1	8	11.0%
6	7	9.6%
8	7	9.6%
2	7	9.6%
4	6	8.2%
,	4	5.5%
5	3	4.1%
-	3	4.1%
Other values (4)	7	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63	86.3%
Other Punctuation	4	5.5%
Dash Punctuation	3	4.1%
Other Letter	3	4.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	12	19.0%
0	9	14.3%
1	8	12.7%
6	7	11.1%
8	7	11.1%
2	7	11.1%
4	6	9.5%
5	3	4.8%
9	2	3.2%
7	2	3.2%

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 (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	70	95.9%
Hangul	3	4.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	12	17.1%
0	9	12.9%
1	8	11.4%
6	7	10.0%
8	7	10.0%
2	7	10.0%
4	6	8.6%
,	4	5.7%
5	3	4.3%
-	3	4.3%
Other values (2)	4	5.7%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70	95.9%
Hangul	3	4.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	12	17.1%
0	9	12.9%
1	8	11.4%
6	7	10.0%
8	7	10.0%
2	7	10.0%
4	6	8.6%
,	4	5.7%
5	3	4.3%
-	3	4.3%
Other values (2)	4	5.7%

Hangul

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

Unnamed: 8
Text

MISSING

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

Length

Max length	6
Median length	5
Mean length	2.3939394
Min length	1

Characters and Unicode

Total characters	79
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	25 ?
Unique (%)	75.8%

Sample

1st row	계림1동
2nd row	5,986
3rd row	10,935
4th row	88
5th row	12

Value	Count	Frequency (%)
0	6	18.2%
1	2	6.1%
12	2	6.1%
79	1	3.0%
163	1	3.0%
10,897	1	3.0%
5,959	1	3.0%
38	1	3.0%
27	1	3.0%
9	1	3.0%
Other values (16)	16	48.5%

Most occurring characters

Value	Count	Frequency (%)
1	14	17.7%
0	11	13.9%
9	8	10.1%
8	7	8.9%
5	6	7.6%
4	6	7.6%
6	5	6.3%
2	4	5.1%
,	4	5.1%
3	4	5.1%
Other values (5)	10	12.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	69	87.3%
Other Punctuation	4	5.1%
Dash Punctuation	3	3.8%
Other Letter	3	3.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14	20.3%
0	11	15.9%
9	8	11.6%
8	7	10.1%
5	6	8.7%
4	6	8.7%
6	5	7.2%
2	4	5.8%
3	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 (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	76	96.2%
Hangul	3	3.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14	18.4%
0	11	14.5%
9	8	10.5%
8	7	9.2%
5	6	7.9%
4	6	7.9%
6	5	6.6%
2	4	5.3%
,	4	5.3%
3	4	5.3%
Other values (2)	7	9.2%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76	96.2%
Hangul	3	3.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14	18.4%
0	11	14.5%
9	8	10.5%
8	7	9.2%
5	6	7.9%
4	6	7.9%
6	5	6.6%
2	4	5.3%
,	4	5.3%
3	4	5.3%
Other values (2)	7	9.2%

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	5
Median length	4
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	17 ?
Unique (%)	51.5%

Sample

1st row	계림2동
2nd row	4,159
3rd row	9,802
4th row	45
5th row	12

Value	Count	Frequency (%)
0	8	24.2%
32	2	6.1%
45	2	6.1%
12	2	6.1%
14	2	6.1%
39	1	3.0%
60	1	3.0%
4,143	1	3.0%
62	1	3.0%
16	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
1	12	16.2%
0	11	14.9%
4	8	10.8%
2	8	10.8%
3	6	8.1%
5	5	6.8%
7	4	5.4%
8	4	5.4%
9	4	5.4%
,	4	5.4%
Other values (5)	8	10.8%

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	12	18.5%
0	11	16.9%
4	8	12.3%
2	8	12.3%
3	6	9.2%
5	5	7.7%
7	4	6.2%
8	4	6.2%
9	4	6.2%
6	3	4.6%

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 (%)
-	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	12	16.9%
0	11	15.5%
4	8	11.3%
2	8	11.3%
3	6	8.5%
5	5	7.0%
7	4	5.6%
8	4	5.6%
9	4	5.6%
,	4	5.6%
Other values (2)	5	7.0%

Hangul

Value	Count	Frequency (%)
계	1	33.3%
림	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	12	16.9%
0	11	15.5%
4	8	11.3%
2	8	11.3%
3	6	8.5%
5	5	7.0%
7	4	5.6%
8	4	5.6%
9	4	5.6%
,	4	5.6%
Other values (2)	5	7.0%

Hangul

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

Unnamed: 10
Text

MISSING

Distinct	26
Distinct (%)	76.5%
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	23 ?
Unique (%)	67.6%

Sample

1st row	출력일자 :
2nd row	산수1동
3rd row	4,502
4th row	8,590
5th row	66

Value	Count	Frequency (%)
0	7	20.0%
66	2	5.7%
6	2	5.7%
	1	2.9%
118	1	2.9%
4,494	1	2.9%
38	1	2.9%
8	1	2.9%
1	1	2.9%
7	1	2.9%
Other values (17)	17	48.6%

Most occurring characters

Value	Count	Frequency (%)
0	12	15.8%
4	10	13.2%
6	8	10.5%
8	8	10.5%
1	7	9.2%
5	6	7.9%
,	4	5.3%
2	4	5.3%
-	2	2.6%
7	2	2.6%
Other values (11)	13	17.1%

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	12	19.7%
4	10	16.4%
6	8	13.1%
8	8	13.1%
1	7	11.5%
5	6	9.8%
2	4	6.6%
7	2	3.3%
3	2	3.3%
9	2	3.3%

Other Letter

Value	Count	Frequency (%)
자	1	14.3%
수	1	14.3%
일	1	14.3%
력	1	14.3%
산	1	14.3%
동	1	14.3%
출	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	12	17.4%
4	10	14.5%
6	8	11.6%
8	8	11.6%
1	7	10.1%
5	6	8.7%
,	4	5.8%
2	4	5.8%
-	2	2.9%
7	2	2.9%
Other values (4)	6	8.7%

Hangul

Value	Count	Frequency (%)
자	1	14.3%
수	1	14.3%
일	1	14.3%
력	1	14.3%
산	1	14.3%
동	1	14.3%
출	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	12	17.4%
4	10	14.5%
6	8	11.6%
8	8	11.6%
1	7	10.1%
5	6	8.7%
,	4	5.8%
2	4	5.8%
-	2	2.9%
7	2	2.9%
Other values (4)	6	8.7%

Hangul

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

Unnamed: 11
Text

MISSING

Distinct	23
Distinct (%)	69.7%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	6
Median length	5
Mean length	2.1818182
Min length	1

Characters and Unicode

Total characters	72
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	20 ?
Unique (%)	60.6%

Sample

1st row	산수2동
2nd row	4,876
3rd row	10,499
4th row	36
5th row	4

Value	Count	Frequency (%)
0	8	24.2%
4	3	9.1%
36	2	6.1%
56	1	3.0%
10,499	1	3.0%
4,876	1	3.0%
4,885	1	3.0%
1	1	3.0%
9	1	3.0%
12	1	3.0%
Other values (13)	13	39.4%

Most occurring characters

Value	Count	Frequency (%)
0	12	16.7%
4	11	15.3%
1	10	13.9%
6	8	11.1%
5	5	6.9%
9	5	6.9%
3	4	5.6%
,	4	5.6%
8	4	5.6%
2	3	4.2%
Other values (5)	6	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	88.9%
Other Punctuation	4	5.6%
Other Letter	3	4.2%
Dash Punctuation	1	1.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12	18.8%
4	11	17.2%
1	10	15.6%
6	8	12.5%
5	5	7.8%
9	5	7.8%
3	4	6.2%
8	4	6.2%
2	3	4.7%
7	2	3.1%

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 (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	69	95.8%
Hangul	3	4.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12	17.4%
4	11	15.9%
1	10	14.5%
6	8	11.6%
5	5	7.2%
9	5	7.2%
3	4	5.8%
,	4	5.8%
8	4	5.8%
2	3	4.3%
Other values (2)	3	4.3%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69	95.8%
Hangul	3	4.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12	17.4%
4	11	15.9%
1	10	14.5%
6	8	11.6%
5	5	7.2%
9	5	7.2%
3	4	5.8%
,	4	5.8%
8	4	5.8%
2	3	4.3%
Other values (2)	3	4.3%

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	2022-04-06 00:00:00
Maximum	2022-04-06 00:00:00

Histogram

Histogram with fixed size bins (bins=1)

Unnamed: 13
Text

MISSING

Distinct	23
Distinct (%)	69.7%
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	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	20 ?
Unique (%)	60.6%

Sample

1st row	지산1동
2nd row	2,436
3rd row	4,249
4th row	41
5th row	2

Value	Count	Frequency (%)
0	8	24.2%
2	3	9.1%
41	2	6.1%
38	1	3.0%
4,249	1	3.0%
2,436	1	3.0%
2,438	1	3.0%
15	1	3.0%
3	1	3.0%
40	1	3.0%
Other values (13)	13	39.4%

Most occurring characters

Value	Count	Frequency (%)
4	12	17.6%
2	10	14.7%
3	10	14.7%
0	9	13.2%
1	7	10.3%
9	4	5.9%
,	4	5.9%
8	3	4.4%
5	3	4.4%
7	1	1.5%
Other values (5)	5	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60	88.2%
Other Punctuation	4	5.9%
Other Letter	3	4.4%
Dash Punctuation	1	1.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	12	20.0%
2	10	16.7%
3	10	16.7%
0	9	15.0%
1	7	11.7%
9	4	6.7%
8	3	5.0%
5	3	5.0%
7	1	1.7%
6	1	1.7%

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%

Dash Punctuation

Value	Count	Frequency (%)
-	1	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 (%)
4	12	18.5%
2	10	15.4%
3	10	15.4%
0	9	13.8%
1	7	10.8%
9	4	6.2%
,	4	6.2%
8	3	4.6%
5	3	4.6%
7	1	1.5%
Other values (2)	2	3.1%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
산	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 (%)
4	12	18.5%
2	10	15.4%
3	10	15.4%
0	9	13.8%
1	7	10.8%
9	4	6.2%
,	4	6.2%
8	3	4.6%
5	3	4.6%
7	1	1.5%
Other values (2)	2	3.1%

Hangul

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

Unnamed: 14
Text

MISSING

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

Length

Max length	5
Median length	4
Mean length	2.1515152
Min length	1

Characters and Unicode

Total characters	71
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	지산2동
2nd row	2,426
3rd row	4,512
4th row	42
5th row	6

Value	Count	Frequency (%)
0	7	21.2%
27	3	9.1%
6	2	6.1%
1	2	6.1%
29	1	3.0%
33	1	3.0%
4,486	1	3.0%
2,416	1	3.0%
26	1	3.0%
10	1	3.0%
Other values (13)	13	39.4%

Most occurring characters

Value	Count	Frequency (%)
2	11	15.5%
1	11	15.5%
4	9	12.7%
0	8	11.3%
6	7	9.9%
7	4	5.6%
,	4	5.6%
3	4	5.6%
8	3	4.2%
5	3	4.2%
Other values (5)	7	9.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61	85.9%
Other Punctuation	4	5.6%
Dash Punctuation	3	4.2%
Other Letter	3	4.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	11	18.0%
1	11	18.0%
4	9	14.8%
0	8	13.1%
6	7	11.5%
7	4	6.6%
3	4	6.6%
8	3	4.9%
5	3	4.9%
9	1	1.6%

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 (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	68	95.8%
Hangul	3	4.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	11	16.2%
1	11	16.2%
4	9	13.2%
0	8	11.8%
6	7	10.3%
7	4	5.9%
,	4	5.9%
3	4	5.9%
8	3	4.4%
5	3	4.4%
Other values (2)	4	5.9%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68	95.8%
Hangul	3	4.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	11	16.2%
1	11	16.2%
4	9	13.2%
0	8	11.8%
6	7	10.3%
7	4	5.9%
,	4	5.9%
3	4	5.9%
8	3	4.4%
5	3	4.4%
Other values (2)	4	5.9%

Hangul

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

Unnamed: 15
Text

MISSING

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

Length

Max length	5
Median length	3
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	17 ?
Unique (%)	51.5%

Sample

1st row	서남동
2nd row	2,176
3rd row	2,963
4th row	64
5th row	3

Value	Count	Frequency (%)
0	8	24.2%
3	3	9.1%
51	3	9.1%
64	2	6.1%
21	1	3.0%
1	1	3.0%
2,194	1	3.0%
6	1	3.0%
18	1	3.0%
40	1	3.0%
Other values (11)	11	33.3%

Most occurring characters

Value	Count	Frequency (%)
1	13	19.1%
0	12	17.6%
6	7	10.3%
3	6	8.8%
2	6	8.8%
4	5	7.4%
9	5	7.4%
5	4	5.9%
,	4	5.9%
7	2	2.9%
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 (%)
1	13	21.3%
0	12	19.7%
6	7	11.5%
3	6	9.8%
2	6	9.8%
4	5	8.2%
9	5	8.2%
5	4	6.6%
7	2	3.3%
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%

Most occurring scripts

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

Most frequent character per script

Common

Value	Count	Frequency (%)
1	13	20.0%
0	12	18.5%
6	7	10.8%
3	6	9.2%
2	6	9.2%
4	5	7.7%
9	5	7.7%
5	4	6.2%
,	4	6.2%
7	2	3.1%

Hangul

Value	Count	Frequency (%)
서	1	33.3%
남	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 (%)
1	13	20.0%
0	12	18.5%
6	7	10.8%
3	6	9.2%
2	6	9.2%
4	5	7.7%
9	5	7.7%
5	4	6.2%
,	4	6.2%
7	2	3.1%

Hangul

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

Unnamed: 16
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	2.030303
Min length	1

Characters and Unicode

Total characters	67
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	21 ?
Unique (%)	63.6%

Sample

1st row	학동
2nd row	3,632
3rd row	7,702
4th row	79
5th row	8

Value	Count	Frequency (%)
0	8	24.2%
79	2	6.1%
8	2	6.1%
16	1	3.0%
7,702	1	3.0%
59	1	3.0%
3,630	1	3.0%
1	1	3.0%
2	1	3.0%
6	1	3.0%
Other values (14)	14	42.4%

Most occurring characters

Value	Count	Frequency (%)
0	11	16.4%
6	11	16.4%
2	7	10.4%
3	7	10.4%
7	6	9.0%
1	5	7.5%
5	5	7.5%
,	4	6.0%
9	3	4.5%
4	3	4.5%
Other values (4)	5	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60	89.6%
Other Punctuation	4	6.0%
Other Letter	2	3.0%
Dash Punctuation	1	1.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11	18.3%
6	11	18.3%
2	7	11.7%
3	7	11.7%
7	6	10.0%
1	5	8.3%
5	5	8.3%
9	3	5.0%
4	3	5.0%
8	2	3.3%

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 (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	65	97.0%
Hangul	2	3.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11	16.9%
6	11	16.9%
2	7	10.8%
3	7	10.8%
7	6	9.2%
1	5	7.7%
5	5	7.7%
,	4	6.2%
9	3	4.6%
4	3	4.6%
Other values (2)	3	4.6%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65	97.0%
Hangul	2	3.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11	16.9%
6	11	16.9%
2	7	10.8%
3	7	10.8%
7	6	9.2%
1	5	7.7%
5	5	7.7%
,	4	6.2%
9	3	4.6%
4	3	4.6%
Other values (2)	3	4.6%

Hangul

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

Unnamed: 17
Text

MISSING

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

Length

Max length	6
Median length	2
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	17 ?
Unique (%)	51.5%

Sample

1st row	학운동
2nd row	5,252
3rd row	11,448
4th row	63
5th row	15

Value	Count	Frequency (%)
0	7	21.2%
15	3	9.1%
63	2	6.1%
46	2	6.1%
1	2	6.1%
51	1	3.0%
112	1	3.0%
5,250	1	3.0%
40	1	3.0%
2	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
1	14	18.9%
0	10	13.5%
5	10	13.5%
4	8	10.8%
2	7	9.5%
6	5	6.8%
,	4	5.4%
3	3	4.1%
8	3	4.1%
9	3	4.1%
Other values (5)	7	9.5%

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	14	21.5%
0	10	15.4%
5	10	15.4%
4	8	12.3%
2	7	10.8%
6	5	7.7%
3	3	4.6%
8	3	4.6%
9	3	4.6%
7	2	3.1%

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	14	19.7%
0	10	14.1%
5	10	14.1%
4	8	11.3%
2	7	9.9%
6	5	7.0%
,	4	5.6%
3	3	4.2%
8	3	4.2%
9	3	4.2%
Other values (2)	4	5.6%

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	14	19.7%
0	10	14.1%
5	10	14.1%
4	8	11.3%
2	7	9.9%
6	5	7.0%
,	4	5.6%
3	3	4.2%
8	3	4.2%
9	3	4.2%
Other values (2)	4	5.6%

Hangul

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

Unnamed: 18
Text

MISSING

Distinct	23
Distinct (%)	69.7%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	4
Mean length	2.1515152
Min length	1

Characters and Unicode

Total characters	71
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	19 ?
Unique (%)	57.6%

Sample

1st row	지원1동
2nd row	3,659
3rd row	7,807
4th row	24
5th row	6

Value	Count	Frequency (%)
0	7	21.2%
6	3	9.1%
24	2	6.1%
40	2	6.1%
39	2	6.1%
48	1	3.0%
53	1	3.0%
7,768	1	3.0%
3,649	1	3.0%
1	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

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

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62	87.3%
Other Punctuation	4	5.6%
Other Letter	3	4.2%
Dash Punctuation	2	2.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11	17.7%
4	8	12.9%
7	8	12.9%
6	7	11.3%
1	7	11.3%
3	7	11.3%
2	4	6.5%
9	4	6.5%
5	3	4.8%
8	3	4.8%

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%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	68	95.8%
Hangul	3	4.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11	16.2%
4	8	11.8%
7	8	11.8%
6	7	10.3%
1	7	10.3%
3	7	10.3%
2	4	5.9%
,	4	5.9%
9	4	5.9%
5	3	4.4%
Other values (2)	5	7.4%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68	95.8%
Hangul	3	4.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11	16.2%
4	8	11.8%
7	8	11.8%
6	7	10.3%
1	7	10.3%
3	7	10.3%
2	4	5.9%
,	4	5.9%
9	4	5.9%
5	3	4.4%
Other values (2)	5	7.4%

Hangul

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

Unnamed: 19
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	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	24 ?
Unique (%)	72.7%

Sample

1st row	지원2동
2nd row	7,209
3rd row	16,087
4th row	127
5th row	9

Value	Count	Frequency (%)
0	7	21.2%
127	2	6.1%
176	1	3.0%
16,114	1	3.0%
7,213	1	3.0%
27	1	3.0%
4	1	3.0%
10	1	3.0%
65	1	3.0%
93	1	3.0%
Other values (16)	16	48.5%

Most occurring characters

Value	Count	Frequency (%)
0	14	18.2%
1	14	18.2%
2	11	14.3%
7	9	11.7%
9	5	6.5%
6	5	6.5%
8	5	6.5%
,	4	5.2%
3	3	3.9%
4	3	3.9%
Other values (4)	4	5.2%

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	14	20.0%
1	14	20.0%
2	11	15.7%
7	9	12.9%
9	5	7.1%
6	5	7.1%
8	5	7.1%
3	3	4.3%
4	3	4.3%
5	1	1.4%

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	74	96.1%
Hangul	3	3.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	14	18.9%
1	14	18.9%
2	11	14.9%
7	9	12.2%
9	5	6.8%
6	5	6.8%
8	5	6.8%
,	4	5.4%
3	3	4.1%
4	3	4.1%

Hangul

Value	Count	Frequency (%)
지	1	33.3%
원	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	14	18.9%
1	14	18.9%
2	11	14.9%
7	9	12.2%
9	5	6.8%
6	5	6.8%
8	5	6.8%
,	4	5.4%
3	3	4.1%
4	3	4.1%

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	0.947	1.000	1.000	0.925	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
Unnamed: 3	1.000	NaN	1.000	NaN	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.583	0.805	1.000	1.000	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	1.000	1.000
Unnamed: 5	1.000	0.947	1.000	1.000	1.000	0.993	0.991	0.988	0.993	0.985	0.991	0.991	0.992	0.990	0.992	0.994	0.991	0.993
Unnamed: 6	1.000	1.000	1.000	1.000	0.993	1.000	1.000	1.000	1.000	0.995	1.000	1.000	1.000	0.992	1.000	0.996	1.000	0.997
Unnamed: 7	1.000	1.000	1.000	1.000	0.991	1.000	1.000	1.000	0.984	0.988	0.997	0.995	0.990	0.976	0.990	0.979	0.996	0.986
Unnamed: 8	1.000	0.925	1.000	1.000	0.988	1.000	1.000	1.000	1.000	0.994	1.000	1.000	1.000	0.991	1.000	0.996	1.000	0.985
Unnamed: 9	1.000	1.000	1.000	1.000	0.993	1.000	0.984	1.000	1.000	1.000	0.997	0.995	0.989	0.985	1.000	0.998	0.989	1.000
Unnamed: 10	1.000	1.000	1.000	1.000	0.985	0.995	0.988	0.994	1.000	1.000	1.000	1.000	0.987	0.993	1.000	0.997	0.988	0.995
Unnamed: 11	1.000	1.000	1.000	1.000	0.991	1.000	0.997	1.000	0.997	1.000	1.000	1.000	0.987	0.992	1.000	0.994	0.995	1.000
Unnamed: 13	1.000	1.000	1.000	1.000	0.991	1.000	0.995	1.000	0.995	1.000	1.000	1.000	0.987	0.986	1.000	0.992	0.995	1.000
Unnamed: 14	1.000	1.000	0.583	1.000	0.992	1.000	0.990	1.000	0.989	0.987	0.987	0.987	1.000	0.976	0.997	0.978	0.993	0.984
Unnamed: 15	1.000	1.000	0.805	1.000	0.990	0.992	0.976	0.991	0.985	0.993	0.992	0.986	0.976	1.000	0.994	0.982	0.981	1.000
Unnamed: 16	1.000	1.000	1.000	1.000	0.992	1.000	0.990	1.000	1.000	1.000	1.000	1.000	0.997	0.994	1.000	0.997	0.989	1.000
Unnamed: 17	1.000	1.000	1.000	1.000	0.994	0.996	0.979	0.996	0.998	0.997	0.994	0.992	0.978	0.982	0.997	1.000	0.976	1.000
Unnamed: 18	1.000	1.000	1.000	1.000	0.991	1.000	0.996	1.000	0.989	0.988	0.995	0.995	0.993	0.981	0.989	0.976	1.000	0.986
Unnamed: 19	1.000	1.000	1.000	1.000	0.993	0.997	0.986	0.985	1.000	0.995	1.000	1.000	0.984	1.000	1.000	1.000	0.986	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>	2022.04.06	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
1	<NA>	작성기준 :	<NA>	2022.03 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>	52,514	3,705	2,496	5,986	4,159	4,502	4,876	<NA>	2,436	2,426	2,176	3,632	5,252	3,659	7,209
4	<NA>	전월말인구수	<NA>	<NA>	<NA>	103,299	4,818	3,887	10,935	9,802	8,590	10,499	<NA>	4,249	4,512	2,963	7,702	11,448	7,807	16,087
5	<NA>	전월말거주불명자수	<NA>	<NA>	<NA>	871	83	113	88	45	66	36	<NA>	41	42	64	79	63	24	127
6	<NA>	전월말재외국민등록자수	<NA>	<NA>	<NA>	96	7	6	12	12	6	4	<NA>	2	6	3	8	15	6	9
7	<NA>	증 가 요 인	전 입	계	<NA>	1,339	146	82	120	60	84	117	<NA>	84	54	110	126	89	77	190
8	<NA>	<NA>	<NA>	남자	<NA>	684	75	48	69	28	44	53	<NA>	53	27	59	61	42	37	88
9	<NA>	<NA>	<NA>	여자	<NA>	655	71	34	51	32	40	64	<NA>	31	27	51	65	47	40	102

	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>	1	0	0	0	0	1	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>	-30	35	-23	-27	-16	-8	9	<NA>	2	-10	18	-2	-2	-10	4
29	<NA>	인구수증감	<NA>	<NA>	<NA>	-218	41	-34	-38	-62	-38	-1	<NA>	-15	-26	6	1	-40	-39	27
30	<NA>	거주불명자수증감	<NA>	<NA>	<NA>	-4	-2	-1	-1	0	0	0	<NA>	0	-1	0	0	0	1	0
31	<NA>	금월말세대수	<NA>	<NA>	<NA>	52,484	3,740	2,473	5,959	4,143	4,494	4,885	<NA>	2,438	2,416	2,194	3,630	5,250	3,649	7,213
32	<NA>	금월말인구수	<NA>	<NA>	<NA>	103,081	4,859	3,853	10,897	9,740	8,552	10,498	<NA>	4,234	4,486	2,969	7,703	11,408	7,768	16,114
33	<NA>	금월말거주불명자수	<NA>	<NA>	<NA>	867	81	112	87	45	66	36	<NA>	41	41	64	79	63	25	127
34	<NA>	금월말재외국민등록자수	<NA>	<NA>	<NA>	94	7	6	12	12	6	4	<NA>	2	6	3	8	15	6	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>	국외	<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

Dash Punctuation

Space Separator

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