gimi9 Pandas Profiling

Dataset statistics

Number of variables	24
Number of observations	35
Missing cells	201
Missing cells (%)	23.9%
Duplicate rows	2
Duplicate rows (%)	5.7%
Total size in memory	6.7 KiB
Average record size in memory	196.8 B

Variable types

Unsupported	1
Text	22
DateTime	1

Dataset

Description	2023-10-12
Author	주민등록인구통계
URL	https://bigdata.gwangju.go.kr/usr/dataSet/getDataDetailView.rd?dataSetUncd=DS000201925

Alerts

`Unnamed: 12` has constant value ""	Constant
Dataset has 2 (5.7%) 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: 20` has 2 (5.7%) missing values	Missing
`Unnamed: 21` has 2 (5.7%) missing values	Missing
`Unnamed: 22` has 2 (5.7%) missing values	Missing
`Unnamed: 23` 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 09:37:55.756030
Analysis finished	2024-02-10 09:37:57.088613
Duration	1.33 second
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 남구
2nd row	2023.07 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%
남구	1	7.1%
2023.07	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%
남	3	7.3%
	3	7.3%
계	2	4.9%
여	2	4.9%
내	2	4.9%
간	2	4.9%
광	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%
남	3	9.7%
계	2	6.5%
여	2	6.5%
내	2	6.5%
간	2	6.5%
광	2	6.5%
현	1	3.2%
Other values (4)	4	12.9%

Decimal Number

Value	Count	Frequency (%)
2	2	33.3%
0	2	33.3%
7	1	16.7%
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%
남	3	9.7%
계	2	6.5%
여	2	6.5%
내	2	6.5%
간	2	6.5%
광	2	6.5%
현	1	3.2%
Other values (4)	4	12.9%

Common

Value	Count	Frequency (%)
	3	30.0%
2	2	20.0%
0	2	20.0%
.	1	10.0%
7	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%
남	3	9.7%
계	2	6.5%
여	2	6.5%
내	2	6.5%
간	2	6.5%
광	2	6.5%
현	1	3.2%
Other values (4)	4	12.9%

ASCII

Value	Count	Frequency (%)
	3	30.0%
2	2	20.0%
0	2	20.0%
.	1	10.0%
7	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	28
Distinct (%)	84.8%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	7
Median length	6
Mean length	3.0606061
Min length	1

Characters and Unicode

Total characters	101
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	26 ?
Unique (%)	78.8%

Sample

1st row	합 계
2nd row	95,597
3rd row	210,762
4th row	349
5th row	150

Value	Count	Frequency (%)
0	5	14.7%
431	2	5.9%
891	1	2.9%
874	1	2.9%
344	1	2.9%
210,618	1	2.9%
95,629	1	2.9%
5	1	2.9%
144	1	2.9%
32	1	2.9%
Other values (19)	19	55.9%

Most occurring characters

Value	Count	Frequency (%)
1	12	11.9%
6	12	11.9%
4	11	10.9%
9	10	9.9%
0	8	7.9%
5	8	7.9%
8	8	7.9%
7	7	6.9%
2	7	6.9%
3	6	5.9%
Other values (5)	12	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	89	88.1%
Other Punctuation	6	5.9%
Space Separator	2	2.0%
Dash Punctuation	2	2.0%
Other Letter	2	2.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	12	13.5%
6	12	13.5%
4	11	12.4%
9	10	11.2%
0	8	9.0%
5	8	9.0%
8	8	9.0%
7	7	7.9%
2	7	7.9%
3	6	6.7%

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 (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	99	98.0%
Hangul	2	2.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	12	12.1%
6	12	12.1%
4	11	11.1%
9	10	10.1%
0	8	8.1%
5	8	8.1%
8	8	8.1%
7	7	7.1%
2	7	7.1%
3	6	6.1%
Other values (3)	10	10.1%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	99	98.0%
Hangul	2	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	12	12.1%
6	12	12.1%
4	11	11.1%
9	10	10.1%
0	8	8.1%
5	8	8.1%
8	8	8.1%
7	7	7.1%
2	7	7.1%
3	6	6.1%
Other values (3)	10	10.1%

Hangul

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

Unnamed: 6
Text

MISSING

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

Length

Max length	5
Median length	3
Mean length	1.969697
Min length	1

Characters and Unicode

Total characters	65
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	17 ?
Unique (%)	51.5%

Sample

1st row	양림동
2nd row	3,096
3rd row	6,681
4th row	15
5th row	7

Value	Count	Frequency (%)
0	8	24.2%
7	2	6.1%
29	2	6.1%
18	2	6.1%
5	2	6.1%
15	2	6.1%
8	1	3.0%
22	1	3.0%
3,101	1	3.0%
2	1	3.0%
Other values (11)	11	33.3%

Most occurring characters

Value	Count	Frequency (%)
1	11	16.9%
0	10	15.4%
2	8	12.3%
5	7	10.8%
6	7	10.8%
9	4	6.2%
8	4	6.2%
,	4	6.2%
7	3	4.6%
3	3	4.6%
Other values (4)	4	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	57	87.7%
Other Punctuation	4	6.2%
Other Letter	3	4.6%
Dash Punctuation	1	1.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	11	19.3%
0	10	17.5%
2	8	14.0%
5	7	12.3%
6	7	12.3%
9	4	7.0%
8	4	7.0%
7	3	5.3%
3	3	5.3%

Other Letter

Value	Count	Frequency (%)
양	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	62	95.4%
Hangul	3	4.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	11	17.7%
0	10	16.1%
2	8	12.9%
5	7	11.3%
6	7	11.3%
9	4	6.5%
8	4	6.5%
,	4	6.5%
7	3	4.8%
3	3	4.8%

Hangul

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

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	95.4%
Hangul	3	4.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	11	17.7%
0	10	16.1%
2	8	12.9%
5	7	11.3%
6	7	11.3%
9	4	6.5%
8	4	6.5%
,	4	6.5%
7	3	4.8%
3	3	4.8%

Hangul

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

Unnamed: 7
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	2.030303
Min length	1

Characters and Unicode

Total characters	67
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	방림1동
2nd row	3,069
3rd row	6,726
4th row	10
5th row	6

Value	Count	Frequency (%)
0	8	24.2%
38	2	6.1%
10	2	6.1%
6	2	6.1%
2	2	6.1%
20	1	3.0%
76	1	3.0%
3,071	1	3.0%
13	1	3.0%
3,069	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
0	13	19.4%
2	11	16.4%
3	9	13.4%
6	9	13.4%
1	6	9.0%
,	4	6.0%
7	4	6.0%
8	3	4.5%
9	3	4.5%
5	1	1.5%
Other values (4)	4	6.0%

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	13	21.7%
2	11	18.3%
3	9	15.0%
6	9	15.0%
1	6	10.0%
7	4	6.7%
8	3	5.0%
9	3	5.0%
5	1	1.7%
4	1	1.7%

Other Letter

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

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13	20.3%
2	11	17.2%
3	9	14.1%
6	9	14.1%
1	6	9.4%
,	4	6.2%
7	4	6.2%
8	3	4.7%
9	3	4.7%
5	1	1.6%

Hangul

Value	Count	Frequency (%)
방	1	33.3%
림	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	13	20.3%
2	11	17.2%
3	9	14.1%
6	9	14.1%
1	6	9.4%
,	4	6.2%
7	4	6.2%
8	3	4.7%
9	3	4.7%
5	1	1.6%

Hangul

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

Unnamed: 8
Text

MISSING

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

Length

Max length	5
Median length	2
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	방림2동
2nd row	3,933
3rd row	8,334
4th row	17
5th row	10

Value	Count	Frequency (%)
0	9	27.3%
17	3	9.1%
10	2	6.1%
37	1	3.0%
73	1	3.0%
3,929	1	3.0%
32	1	3.0%
4	1	3.0%
5	1	3.0%
23	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
3	15	21.1%
0	12	16.9%
1	9	12.7%
2	9	12.7%
7	5	7.0%
,	4	5.6%
9	3	4.2%
4	3	4.2%
8	2	2.8%
6	2	2.8%
Other values (5)	7	9.9%

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 (%)
3	15	24.2%
0	12	19.4%
1	9	14.5%
2	9	14.5%
7	5	8.1%
9	3	4.8%
4	3	4.8%
8	2	3.2%
6	2	3.2%
5	2	3.2%

Other Letter

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

Most frequent character per script

Common

Value	Count	Frequency (%)
3	15	22.1%
0	12	17.6%
1	9	13.2%
2	9	13.2%
7	5	7.4%
,	4	5.9%
9	3	4.4%
4	3	4.4%
8	2	2.9%
6	2	2.9%
Other values (2)	4	5.9%

Hangul

Value	Count	Frequency (%)
방	1	33.3%
림	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 (%)
3	15	22.1%
0	12	17.6%
1	9	13.2%
2	9	13.2%
7	5	7.4%
,	4	5.9%
9	3	4.4%
4	3	4.4%
8	2	2.9%
6	2	2.9%
Other values (2)	4	5.9%

Hangul

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

Unnamed: 9
Text

MISSING

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

Length

Max length	6
Median length	2
Mean length	2.2727273
Min length	1

Characters and Unicode

Total characters	75
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	18 ?
Unique (%)	54.5%

Sample

1st row	봉선1동
2nd row	6,475
3rd row	12,897
4th row	41
5th row	11

Value	Count	Frequency (%)
0	7	21.2%
11	2	6.1%
1	2	6.1%
59	2	6.1%
41	2	6.1%
3	1	3.0%
65	1	3.0%
12,896	1	3.0%
6,469	1	3.0%
6	1	3.0%
Other values (13)	13	39.4%

Most occurring characters

Value	Count	Frequency (%)
1	14	18.7%
4	10	13.3%
0	9	12.0%
6	7	9.3%
5	5	6.7%
9	5	6.7%
2	5	6.7%
,	4	5.3%
7	4	5.3%
-	3	4.0%
Other values (5)	9	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	65	86.7%
Other Punctuation	4	5.3%
Dash Punctuation	3	4.0%
Other Letter	3	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14	21.5%
4	10	15.4%
0	9	13.8%
6	7	10.8%
5	5	7.7%
9	5	7.7%
2	5	7.7%
7	4	6.2%
8	3	4.6%
3	3	4.6%

Other Letter

Value	Count	Frequency (%)
봉	1	33.3%
선	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	72	96.0%
Hangul	3	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14	19.4%
4	10	13.9%
0	9	12.5%
6	7	9.7%
5	5	6.9%
9	5	6.9%
2	5	6.9%
,	4	5.6%
7	4	5.6%
-	3	4.2%
Other values (2)	6	8.3%

Hangul

Value	Count	Frequency (%)
봉	1	33.3%
선	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72	96.0%
Hangul	3	4.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14	19.4%
4	10	13.9%
0	9	12.5%
6	7	9.7%
5	5	6.9%
9	5	6.9%
2	5	6.9%
,	4	5.6%
7	4	5.6%
-	3	4.2%
Other values (2)	6	8.3%

Hangul

Value	Count	Frequency (%)
봉	1	33.3%
선	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	2.3529412
Min length	1

Characters and Unicode

Total characters	80
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	24 ?
Unique (%)	70.6%

Sample

1st row	출력일자 :
2nd row	봉선2동
3rd row	9,789
4th row	27,805
5th row	10

Value	Count	Frequency (%)
0	7	20.0%
10	3	8.6%
170	1	2.9%
3	1	2.9%
27,809	1	2.9%
9,797	1	2.9%
4	1	2.9%
8	1	2.9%
1	1	2.9%
76	1	2.9%
Other values (17)	17	48.6%

Most occurring characters

Value	Count	Frequency (%)
0	13	16.2%
1	10	12.5%
8	10	12.5%
6	9	11.2%
7	8	10.0%
2	7	8.8%
9	6	7.5%
,	4	5.0%
5	2	2.5%
	1	1.2%
Other values (10)	10	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	67	83.8%
Other Letter	7	8.8%
Other Punctuation	5	6.2%
Space Separator	1	1.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13	19.4%
1	10	14.9%
8	10	14.9%
6	9	13.4%
7	8	11.9%
2	7	10.4%
9	6	9.0%
5	2	3.0%
4	1	1.5%
3	1	1.5%

Other Letter

Value	Count	Frequency (%)
봉	1	14.3%
선	1	14.3%
자	1	14.3%
동	1	14.3%
일	1	14.3%
력	1	14.3%
출	1	14.3%

Other Punctuation

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

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	73	91.2%
Hangul	7	8.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13	17.8%
1	10	13.7%
8	10	13.7%
6	9	12.3%
7	8	11.0%
2	7	9.6%
9	6	8.2%
,	4	5.5%
5	2	2.7%
	1	1.4%
Other values (3)	3	4.1%

Hangul

Value	Count	Frequency (%)
봉	1	14.3%
선	1	14.3%
자	1	14.3%
동	1	14.3%
일	1	14.3%
력	1	14.3%
출	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73	91.2%
Hangul	7	8.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13	17.8%
1	10	13.7%
8	10	13.7%
6	9	12.3%
7	8	11.0%
2	7	9.6%
9	6	8.2%
,	4	5.5%
5	2	2.7%
	1	1.4%
Other values (3)	3	4.1%

Hangul

Value	Count	Frequency (%)
봉	1	14.3%
선	1	14.3%
자	1	14.3%
동	1	14.3%
일	1	14.3%
력	1	14.3%
출	1	14.3%

Unnamed: 11
Text

MISSING

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

Length

Max length	5
Median length	3
Mean length	1.969697
Min length	1

Characters and Unicode

Total characters	65
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	사직동
2nd row	2,817
3rd row	4,809
4th row	34
5th row	6

Value	Count	Frequency (%)
0	7	21.2%
2	4	12.1%
6	2	6.1%
25	2	6.1%
21	2	6.1%
20	1	3.0%
48	1	3.0%
4,807	1	3.0%
2,819	1	3.0%
1	1	3.0%
Other values (11)	11	33.3%

Most occurring characters

Value	Count	Frequency (%)
2	12	18.5%
0	10	15.4%
1	7	10.8%
8	6	9.2%
4	5	7.7%
,	4	6.2%
9	4	6.2%
3	4	6.2%
6	3	4.6%
7	3	4.6%
Other values (5)	7	10.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	56	86.2%
Other Punctuation	4	6.2%
Other Letter	3	4.6%
Dash Punctuation	2	3.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	12	21.4%
0	10	17.9%
1	7	12.5%
8	6	10.7%
4	5	8.9%
9	4	7.1%
3	4	7.1%
6	3	5.4%
7	3	5.4%
5	2	3.6%

Other Letter

Value	Count	Frequency (%)
사	1	33.3%
직	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	62	95.4%
Hangul	3	4.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	12	19.4%
0	10	16.1%
1	7	11.3%
8	6	9.7%
4	5	8.1%
,	4	6.5%
9	4	6.5%
3	4	6.5%
6	3	4.8%
7	3	4.8%
Other values (2)	4	6.5%

Hangul

Value	Count	Frequency (%)
사	1	33.3%
직	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62	95.4%
Hangul	3	4.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	12	19.4%
0	10	16.1%
1	7	11.3%
8	6	9.7%
4	5	8.1%
,	4	6.5%
9	4	6.5%
3	4	6.5%
6	3	4.8%
7	3	4.8%
Other values (2)	4	6.5%

Hangul

Value	Count	Frequency (%)
사	1	33.3%
직	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	2023-08-22 00:00:00
Maximum	2023-08-22 00:00:00

Histogram

Histogram with fixed size bins (bins=1)

Unnamed: 13
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	2.030303
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	월산동
2nd row	4,528
3rd row	8,749
4th row	24
5th row	7

Value	Count	Frequency (%)
0	7	21.2%
7	2	6.1%
8	2	6.1%
24	2	6.1%
63	1	3.0%
22	1	3.0%
8,740	1	3.0%
4,520	1	3.0%
1	1	3.0%
9	1	3.0%
Other values (14)	14	42.4%

Most occurring characters

Value	Count	Frequency (%)
0	9	13.4%
2	9	13.4%
4	7	10.4%
7	6	9.0%
3	6	9.0%
1	5	7.5%
8	5	7.5%
,	4	6.0%
5	4	6.0%
9	4	6.0%
Other values (5)	8	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	57	85.1%
Other Punctuation	4	6.0%
Dash Punctuation	3	4.5%
Other Letter	3	4.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9	15.8%
2	9	15.8%
4	7	12.3%
7	6	10.5%
3	6	10.5%
1	5	8.8%
8	5	8.8%
5	4	7.0%
9	4	7.0%
6	2	3.5%

Other Letter

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

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9	14.1%
2	9	14.1%
4	7	10.9%
7	6	9.4%
3	6	9.4%
1	5	7.8%
8	5	7.8%
,	4	6.2%
5	4	6.2%
9	4	6.2%
Other values (2)	5	7.8%

Hangul

Value	Count	Frequency (%)
월	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	9	14.1%
2	9	14.1%
4	7	10.9%
7	6	9.4%
3	6	9.4%
1	5	7.8%
8	5	7.8%
,	4	6.2%
5	4	6.2%
9	4	6.2%
Other values (2)	5	7.8%

Hangul

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

Unnamed: 14
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	2.1212121
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	18 ?
Unique (%)	54.5%

Sample

1st row	월산4동
2nd row	4,756
3rd row	8,212
4th row	27
5th row	5

Value	Count	Frequency (%)
0	7	21.2%
37	2	6.1%
2	2	6.1%
27	2	6.1%
5	2	6.1%
50	1	3.0%
53	1	3.0%
4,755	1	3.0%
17	1	3.0%
1	1	3.0%
Other values (13)	13	39.4%

Most occurring characters

Value	Count	Frequency (%)
0	10	14.3%
5	10	14.3%
2	8	11.4%
1	8	11.4%
3	7	10.0%
7	7	10.0%
8	5	7.1%
,	4	5.7%
4	3	4.3%
6	2	2.9%
Other values (5)	6	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61	87.1%
Other Punctuation	4	5.7%
Other Letter	3	4.3%
Dash Punctuation	2	2.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	16.4%
5	10	16.4%
2	8	13.1%
1	8	13.1%
3	7	11.5%
7	7	11.5%
8	5	8.2%
4	3	4.9%
6	2	3.3%
9	1	1.6%

Other Letter

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

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10	14.9%
5	10	14.9%
2	8	11.9%
1	8	11.9%
3	7	10.4%
7	7	10.4%
8	5	7.5%
,	4	6.0%
4	3	4.5%
6	2	3.0%
Other values (2)	3	4.5%

Hangul

Value	Count	Frequency (%)
월	1	33.3%
산	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 (%)
0	10	14.9%
5	10	14.9%
2	8	11.9%
1	8	11.9%
3	7	10.4%
7	7	10.4%
8	5	7.5%
,	4	6.0%
4	3	4.5%
6	2	3.0%
Other values (2)	3	4.5%

Hangul

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

Unnamed: 15
Text

MISSING

Distinct	20
Distinct (%)	60.6%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	4
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	16 ?
Unique (%)	48.5%

Sample

1st row	월산5동
2nd row	3,466
3rd row	6,073
4th row	12
5th row	3

Value	Count	Frequency (%)
0	9	27.3%
12	3	9.1%
3	3	9.1%
21	2	6.1%
35	1	3.0%
6,073	1	3.0%
42	1	3.0%
3,466	1	3.0%
16	1	3.0%
14	1	3.0%
Other values (10)	10	30.3%

Most occurring characters

Value	Count	Frequency (%)
0	12	17.1%
3	9	12.9%
1	9	12.9%
2	9	12.9%
4	7	10.0%
6	7	10.0%
,	4	5.7%
7	3	4.3%
5	3	4.3%
-	2	2.9%
Other values (5)	5	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61	87.1%
Other Punctuation	4	5.7%
Other Letter	3	4.3%
Dash Punctuation	2	2.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12	19.7%
3	9	14.8%
1	9	14.8%
2	9	14.8%
4	7	11.5%
6	7	11.5%
7	3	4.9%
5	3	4.9%
9	1	1.6%
8	1	1.6%

Other Letter

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

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12	17.9%
3	9	13.4%
1	9	13.4%
2	9	13.4%
4	7	10.4%
6	7	10.4%
,	4	6.0%
7	3	4.5%
5	3	4.5%
-	2	3.0%
Other values (2)	2	3.0%

Hangul

Value	Count	Frequency (%)
월	1	33.3%
산	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 (%)
0	12	17.9%
3	9	13.4%
1	9	13.4%
2	9	13.4%
4	7	10.4%
6	7	10.4%
,	4	6.0%
7	3	4.5%
5	3	4.5%
-	2	3.0%
Other values (2)	2	3.0%

Hangul

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

Unnamed: 16
Text

MISSING

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

Length

Max length	6
Median length	2
Mean length	2.2121212
Min length	1

Characters and Unicode

Total characters	73
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	18 ?
Unique (%)	54.5%

Sample

1st row	백운1동
2nd row	5,151
3rd row	11,798
4th row	16
5th row	15

Value	Count	Frequency (%)
0	7	21.2%
33	2	6.1%
14	2	6.1%
16	2	6.1%
2	2	6.1%
21	2	6.1%
31	2	6.1%
4	1	3.0%
11,777	1	3.0%
5,155	1	3.0%
Other values (11)	11	33.3%

Most occurring characters

Value	Count	Frequency (%)
1	19	26.0%
0	8	11.0%
3	7	9.6%
2	7	9.6%
5	7	9.6%
7	5	6.8%
4	4	5.5%
,	4	5.5%
6	3	4.1%
9	2	2.7%
Other values (5)	7	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	87.7%
Other Punctuation	4	5.5%
Other Letter	3	4.1%
Dash Punctuation	2	2.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	19	29.7%
0	8	12.5%
3	7	10.9%
2	7	10.9%
5	7	10.9%
7	5	7.8%
4	4	6.2%
6	3	4.7%
9	2	3.1%
8	2	3.1%

Other Letter

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

Most frequent character per script

Common

Value	Count	Frequency (%)
1	19	27.1%
0	8	11.4%
3	7	10.0%
2	7	10.0%
5	7	10.0%
7	5	7.1%
4	4	5.7%
,	4	5.7%
6	3	4.3%
9	2	2.9%
Other values (2)	4	5.7%

Hangul

Value	Count	Frequency (%)
백	1	33.3%
운	1	33.3%
동	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 (%)
1	19	27.1%
0	8	11.4%
3	7	10.0%
2	7	10.0%
5	7	10.0%
7	5	7.1%
4	4	5.7%
,	4	5.7%
6	3	4.3%
9	2	2.9%
Other values (2)	4	5.7%

Hangul

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

Unnamed: 17
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	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	20 ?
Unique (%)	60.6%

Sample

1st row	백운2동
2nd row	3,363
3rd row	6,354
4th row	26
5th row	2

Value	Count	Frequency (%)
0	8	24.2%
2	4	12.1%
26	2	6.1%
22	1	3.0%
6,354	1	3.0%
3,363	1	3.0%
3,361	1	3.0%
4	1	3.0%
1	1	3.0%
21	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
0	13	19.1%
2	13	19.1%
3	10	14.7%
6	7	10.3%
1	5	7.4%
4	4	5.9%
,	4	5.9%
5	3	4.4%
7	3	4.4%
-	2	2.9%
Other values (4)	4	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	59	86.8%
Other Punctuation	4	5.9%
Other Letter	3	4.4%
Dash Punctuation	2	2.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13	22.0%
2	13	22.0%
3	10	16.9%
6	7	11.9%
1	5	8.5%
4	4	6.8%
5	3	5.1%
7	3	5.1%
8	1	1.7%

Other Letter

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

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13	20.0%
2	13	20.0%
3	10	15.4%
6	7	10.8%
1	5	7.7%
4	4	6.2%
,	4	6.2%
5	3	4.6%
7	3	4.6%
-	2	3.1%

Hangul

Value	Count	Frequency (%)
백	1	33.3%
운	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	13	20.0%
2	13	20.0%
3	10	15.4%
6	7	10.8%
1	5	7.7%
4	4	6.2%
,	4	6.2%
5	3	4.6%
7	3	4.6%
-	2	3.1%

Hangul

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

Unnamed: 18
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	2.3636364
Min length	1

Characters and Unicode

Total characters	78
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	주월1동
2nd row	9,567
3rd row	21,304
4th row	20
5th row	13

Value	Count	Frequency (%)
0	6	18.2%
1	2	6.1%
105	2	6.1%
13	2	6.1%
40	1	3.0%
210	1	3.0%
21,296	1	3.0%
9,579	1	3.0%
8	1	3.0%
12	1	3.0%
Other values (15)	15	45.5%

Most occurring characters

Value	Count	Frequency (%)
1	16	20.5%
0	15	19.2%
2	8	10.3%
9	7	9.0%
5	6	7.7%
7	6	7.7%
3	4	5.1%
,	4	5.1%
6	4	5.1%
4	3	3.8%
Other values (5)	5	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	70	89.7%
Other Punctuation	4	5.1%
Other Letter	3	3.8%
Dash Punctuation	1	1.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16	22.9%
0	15	21.4%
2	8	11.4%
9	7	10.0%
5	6	8.6%
7	6	8.6%
3	4	5.7%
6	4	5.7%
4	3	4.3%
8	1	1.4%

Other Letter

Value	Count	Frequency (%)
주	1	33.3%
월	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	75	96.2%
Hangul	3	3.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	16	21.3%
0	15	20.0%
2	8	10.7%
9	7	9.3%
5	6	8.0%
7	6	8.0%
3	4	5.3%
,	4	5.3%
6	4	5.3%
4	3	4.0%
Other values (2)	2	2.7%

Hangul

Value	Count	Frequency (%)
주	1	33.3%
월	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	75	96.2%
Hangul	3	3.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	16	21.3%
0	15	20.0%
2	8	10.7%
9	7	9.3%
5	6	8.0%
7	6	8.0%
3	4	5.3%
,	4	5.3%
6	4	5.3%
4	3	4.0%
Other values (2)	2	2.7%

Hangul

Value	Count	Frequency (%)
주	1	33.3%
월	1	33.3%
동	1	33.3%

Unnamed: 19
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	주월2동
2nd row	3,946
3rd row	7,683
4th row	32
5th row	5

Value	Count	Frequency (%)
0	8	24.2%
20	2	6.1%
18	2	6.1%
12	2	6.1%
5	2	6.1%
23	1	3.0%
34	1	3.0%
7,654	1	3.0%
3,934	1	3.0%
1	1	3.0%
Other values (12)	12	36.4%

Most occurring characters

Value	Count	Frequency (%)
0	12	16.9%
2	10	14.1%
3	10	14.1%
1	7	9.9%
6	5	7.0%
4	5	7.0%
,	4	5.6%
5	3	4.2%
8	3	4.2%
7	3	4.2%
Other values (5)	9	12.7%

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 (%)
0	12	19.7%
2	10	16.4%
3	10	16.4%
1	7	11.5%
6	5	8.2%
4	5	8.2%
5	3	4.9%
8	3	4.9%
7	3	4.9%
9	3	4.9%

Other Letter

Value	Count	Frequency (%)
주	1	33.3%
월	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 (%)
0	12	17.6%
2	10	14.7%
3	10	14.7%
1	7	10.3%
6	5	7.4%
4	5	7.4%
,	4	5.9%
5	3	4.4%
8	3	4.4%
7	3	4.4%
Other values (2)	6	8.8%

Hangul

Value	Count	Frequency (%)
주	1	33.3%
월	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	12	17.6%
2	10	14.7%
3	10	14.7%
1	7	10.3%
6	5	7.4%
4	5	7.4%
,	4	5.9%
5	3	4.4%
8	3	4.4%
7	3	4.4%
Other values (2)	6	8.8%

Hangul

Value	Count	Frequency (%)
주	1	33.3%
월	1	33.3%
동	1	33.3%

Unnamed: 20
Text

MISSING

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

Length

Max length	6
Median length	3
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	20 ?
Unique (%)	60.6%

Sample

1st row	진월동
2nd row	11,436
3rd row	28,316
4th row	36
5th row	28

Value	Count	Frequency (%)
0	7	21.2%
28	2	6.1%
36	2	6.1%
4	2	6.1%
111	1	3.0%
28,316	1	3.0%
182	1	3.0%
11,440	1	3.0%
25	1	3.0%
1	1	3.0%
Other values (14)	14	42.4%

Most occurring characters

Value	Count	Frequency (%)
1	14	18.2%
0	12	15.6%
2	8	10.4%
8	8	10.4%
4	7	9.1%
3	6	7.8%
6	5	6.5%
7	4	5.2%
,	4	5.2%
9	3	3.9%
Other values (5)	6	7.8%

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 (%)
1	14	20.3%
0	12	17.4%
2	8	11.6%
8	8	11.6%
4	7	10.1%
3	6	8.7%
6	5	7.2%
7	4	5.8%
9	3	4.3%
5	2	2.9%

Other Letter

Value	Count	Frequency (%)
진	1	33.3%
월	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 (%)
1	14	18.9%
0	12	16.2%
2	8	10.8%
8	8	10.8%
4	7	9.5%
3	6	8.1%
6	5	6.8%
7	4	5.4%
,	4	5.4%
9	3	4.1%
Other values (2)	3	4.1%

Hangul

Value	Count	Frequency (%)
진	1	33.3%
월	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 (%)
1	14	18.9%
0	12	16.2%
2	8	10.8%
8	8	10.8%
4	7	9.5%
3	6	8.1%
6	5	6.8%
7	4	5.4%
,	4	5.4%
9	3	4.1%
Other values (2)	3	4.1%

Hangul

Value	Count	Frequency (%)
진	1	33.3%
월	1	33.3%
동	1	33.3%

Unnamed: 21
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	2.1212121
Min length	1

Characters and Unicode

Total characters	70
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	19 ?
Unique (%)	57.6%

Sample

1st row	효덕동
2nd row	7,450
3rd row	15,555
4th row	10
5th row	8

Value	Count	Frequency (%)
0	7	21.2%
8	3	9.1%
10	2	6.1%
50	2	6.1%
37	1	3.0%
15,555	1	3.0%
62	1	3.0%
15,563	1	3.0%
7,489	1	3.0%
39	1	3.0%
Other values (13)	13	39.4%

Most occurring characters

Value	Count	Frequency (%)
0	12	17.1%
5	11	15.7%
1	8	11.4%
3	6	8.6%
7	6	8.6%
6	5	7.1%
4	5	7.1%
8	4	5.7%
,	4	5.7%
9	4	5.7%
Other values (4)	5	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63	90.0%
Other Punctuation	4	5.7%
Other Letter	3	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12	19.0%
5	11	17.5%
1	8	12.7%
3	6	9.5%
7	6	9.5%
6	5	7.9%
4	5	7.9%
8	4	6.3%
9	4	6.3%
2	2	3.2%

Other Letter

Value	Count	Frequency (%)
효	1	33.3%
덕	1	33.3%
동	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	4	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 (%)
0	12	17.9%
5	11	16.4%
1	8	11.9%
3	6	9.0%
7	6	9.0%
6	5	7.5%
4	5	7.5%
8	4	6.0%
,	4	6.0%
9	4	6.0%

Hangul

Value	Count	Frequency (%)
효	1	33.3%
덕	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 (%)
0	12	17.9%
5	11	16.4%
1	8	11.9%
3	6	9.0%
7	6	9.0%
6	5	7.5%
4	5	7.5%
8	4	6.0%
,	4	6.0%
9	4	6.0%

Hangul

Value	Count	Frequency (%)
효	1	33.3%
덕	1	33.3%
동	1	33.3%

Unnamed: 22
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	2.2727273
Min length	1

Characters and Unicode

Total characters	75
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	송암동
2nd row	8,651
3rd row	21,236
4th row	14
5th row	5

Value	Count	Frequency (%)
0	6	18.2%
14	3	9.1%
5	3	9.1%
1	2	6.1%
44	1	3.0%
21,236	1	3.0%
105	1	3.0%
8,661	1	3.0%
3	1	3.0%
10	1	3.0%
Other values (13)	13	39.4%

Most occurring characters

Value	Count	Frequency (%)
1	14	18.7%
0	12	16.0%
2	8	10.7%
6	8	10.7%
5	7	9.3%
4	6	8.0%
8	4	5.3%
,	4	5.3%
3	4	5.3%
9	2	2.7%
Other values (5)	6	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	67	89.3%
Other Punctuation	4	5.3%
Other Letter	3	4.0%
Dash Punctuation	1	1.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14	20.9%
0	12	17.9%
2	8	11.9%
6	8	11.9%
5	7	10.4%
4	6	9.0%
8	4	6.0%
3	4	6.0%
9	2	3.0%
7	2	3.0%

Other Letter

Value	Count	Frequency (%)
송	1	33.3%
암	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	72	96.0%
Hangul	3	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14	19.4%
0	12	16.7%
2	8	11.1%
6	8	11.1%
5	7	9.7%
4	6	8.3%
8	4	5.6%
,	4	5.6%
3	4	5.6%
9	2	2.8%
Other values (2)	3	4.2%

Hangul

Value	Count	Frequency (%)
송	1	33.3%
암	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72	96.0%
Hangul	3	4.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14	19.4%
0	12	16.7%
2	8	11.1%
6	8	11.1%
5	7	9.7%
4	6	8.3%
8	4	5.6%
,	4	5.6%
3	4	5.6%
9	2	2.8%
Other values (2)	3	4.2%

Hangul

Value	Count	Frequency (%)
송	1	33.3%
암	1	33.3%
동	1	33.3%

Unnamed: 23
Text

MISSING

Distinct	20
Distinct (%)	60.6%
Missing	2
Missing (%)	5.7%
Memory size	412.0 B

Length

Max length	5
Median length	3
Mean length	1.9393939
Min length	1

Characters and Unicode

Total characters	64
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	15 ?
Unique (%)	45.5%

Sample

1st row	대촌동
2nd row	4,104
3rd row	8,230
4th row	5
5th row	4

Value	Count	Frequency (%)
0	8	24.2%
13	3	9.1%
5	3	9.1%
25	2	6.1%
22	2	6.1%
4	2	6.1%
대촌동	1	3.0%
52	1	3.0%
27	1	3.0%
8,230	1	3.0%
Other values (9)	9	27.3%

Most occurring characters

Value	Count	Frequency (%)
0	12	18.8%
2	11	17.2%
1	7	10.9%
3	7	10.9%
5	6	9.4%
4	6	9.4%
8	4	6.2%
,	4	6.2%
7	2	3.1%
6	1	1.6%
Other values (4)	4	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	56	87.5%
Other Punctuation	4	6.2%
Other Letter	3	4.7%
Dash Punctuation	1	1.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12	21.4%
2	11	19.6%
1	7	12.5%
3	7	12.5%
5	6	10.7%
4	6	10.7%
8	4	7.1%
7	2	3.6%
6	1	1.8%

Other Letter

Value	Count	Frequency (%)
대	1	33.3%
촌	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	61	95.3%
Hangul	3	4.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12	19.7%
2	11	18.0%
1	7	11.5%
3	7	11.5%
5	6	9.8%
4	6	9.8%
8	4	6.6%
,	4	6.6%
7	2	3.3%
6	1	1.6%

Hangul

Value	Count	Frequency (%)
대	1	33.3%
촌	1	33.3%
동	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	61	95.3%
Hangul	3	4.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12	19.7%
2	11	18.0%
1	7	11.5%
3	7	11.5%
5	6	9.8%
4	6	9.8%
8	4	6.6%
,	4	6.6%
7	2	3.3%
6	1	1.6%

Hangul

Value	Count	Frequency (%)
대	1	33.3%
촌	1	33.3%
동	1	33.3%

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	Unnamed: 20	Unnamed: 21	Unnamed: 22	Unnamed: 23
0	<NA>	행정기관 :	<NA>	광주광역시 남구	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	출력일자 :	<NA>	2023.08.22	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
1	<NA>	작성기준 :	<NA>	2023.07 현재	<NA>	<NA>	<NA>	<NA>	<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	양림동	방림1동	방림2동	봉선1동	봉선2동	사직동	<NA>	월산동	월산4동	월산5동	백운1동	백운2동	주월1동	주월2동	진월동	효덕동	송암동	대촌동
3	<NA>	전월말세대수	<NA>	<NA>	<NA>	95,597	3,096	3,069	3,933	6,475	9,789	2,817	<NA>	4,528	4,756	3,466	5,151	3,363	9,567	3,946	11,436	7,450	8,651	4,104
4	<NA>	전월말인구수	<NA>	<NA>	<NA>	210,762	6,681	6,726	8,334	12,897	27,805	4,809	<NA>	8,749	8,212	6,073	11,798	6,354	21,304	7,683	28,316	15,555	21,236	8,230
5	<NA>	전월말거주불명자수	<NA>	<NA>	<NA>	349	15	10	17	41	10	34	<NA>	24	27	12	16	26	20	32	36	10	14	5
6	<NA>	전월말재외국민등록자수	<NA>	<NA>	<NA>	150	7	6	10	11	15	6	<NA>	7	5	3	15	2	13	5	28	8	5	4
7	<NA>	증 가 요 인	전 입	계	<NA>	1,666	56	76	46	127	182	46	<NA>	57	88	42	60	65	205	40	182	142	200	52
8	<NA>	<NA>	<NA>	남자	<NA>	798	31	38	21	59	66	25	<NA>	33	51	21	31	28	101	20	77	67	104	25
9	<NA>	<NA>	<NA>	여자	<NA>	868	25	38	25	68	116	21	<NA>	24	37	21	29	37	104	20	105	75	96	27

	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	Unnamed: 20	Unnamed: 21	Unnamed: 22	Unnamed: 23
25	<NA>	<NA>	말소	<NA>	<NA>	7	2	0	0	0	1	0	<NA>	0	0	0	0	0	1	0	1	1	1	0
26	<NA>	<NA>	국외	<NA>	<NA>	0	0	0	0	0	0	0	<NA>	0	0	0	0	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	0	0	0	0
28	<NA>	세대수증감	<NA>	<NA>	<NA>	32	5	2	-4	-6	8	2	<NA>	-8	-1	-17	4	-2	12	-12	4	39	10	-4
29	<NA>	인구수증감	<NA>	<NA>	<NA>	-144	-5	13	-32	-1	4	-2	<NA>	-9	-17	-26	-21	-4	-8	-29	-25	8	-3	13
30	<NA>	거주불명자수증감	<NA>	<NA>	<NA>	-5	0	0	0	-1	0	-1	<NA>	-1	0	0	-2	0	1	-1	0	0	0	0
31	<NA>	금월말세대수	<NA>	<NA>	<NA>	95,629	3,101	3,071	3,929	6,469	9,797	2,819	<NA>	4,520	4,755	3,449	5,155	3,361	9,579	3,934	11,440	7,489	8,661	4,100
32	<NA>	금월말인구수	<NA>	<NA>	<NA>	210,618	6,676	6,739	8,302	12,896	27,809	4,807	<NA>	8,740	8,195	6,047	11,777	6,350	21,296	7,654	28,291	15,563	21,233	8,243
33	<NA>	금월말거주불명자수	<NA>	<NA>	<NA>	344	15	10	17	40	10	33	<NA>	23	27	12	14	26	21	31	36	10	14	5
34	<NA>	금월말재외국민등록자수	<NA>	<NA>	<NA>	148	7	6	10	11	16	6	<NA>	7	5	3	14	2	13	5	28	7	5	3

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	Unnamed: 20	Unnamed: 21	Unnamed: 22	Unnamed: 23	# duplicates
0	<NA>	국외	<NA>	<NA>	0	0	0	0	0	0	0	<NA>	0	0	0	0	0	0	0	0	0	0	0	2
1	<NA>	기타	<NA>	<NA>	0	0	0	0	0	0	0	<NA>	0	0	0	0	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