Overview

Dataset statistics

Number of variables18
Number of observations49
Missing cells87
Missing cells (%)9.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory146.7 B

Variable types

Text3
Unsupported15

Alerts

보급대상별 PC보급 현황 has 44 (89.8%) missing valuesMissing
Unnamed: 1 has 28 (57.1%) missing valuesMissing
Unnamed: 2 has 4 (8.2%) missing valuesMissing
Unnamed: 3 has 3 (6.1%) missing valuesMissing
Unnamed: 5 has 1 (2.0%) missing valuesMissing
Unnamed: 7 has 1 (2.0%) missing valuesMissing
Unnamed: 9 has 1 (2.0%) missing valuesMissing
Unnamed: 11 has 1 (2.0%) missing valuesMissing
Unnamed: 13 has 1 (2.0%) missing valuesMissing
Unnamed: 15 has 1 (2.0%) missing valuesMissing
Unnamed: 17 has 2 (4.1%) missing valuesMissing
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 02:14:07.656272
Analysis finished2024-03-14 02:14:08.348233
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

보급대상별 PC보급 현황
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing44
Missing (%)89.8%
Memory size524.0 B
2024-03-14T11:14:08.427237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.6
Min length2

Characters and Unicode

Total characters13
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row대분류
2nd row>개인
3rd row소계
4th row>단체
5th row합계
ValueCountFrequency (%)
대분류 1
20.0%
개인 1
20.0%
소계 1
20.0%
단체 1
20.0%
합계 1
20.0%
2024-03-14T11:14:08.930740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
> 2
15.4%
계 2
15.4%
대 1
7.7%
분 1
7.7%
류 1
7.7%
개 1
7.7%
인 1
7.7%
소 1
7.7%
단 1
7.7%
체 1
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
84.6%
Math Symbol 2
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 2
18.2%
대 1
9.1%
분 1
9.1%
류 1
9.1%
개 1
9.1%
인 1
9.1%
소 1
9.1%
단 1
9.1%
체 1
9.1%
합 1
9.1%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
84.6%
Common 2
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 2
18.2%
대 1
9.1%
분 1
9.1%
류 1
9.1%
개 1
9.1%
인 1
9.1%
소 1
9.1%
단 1
9.1%
체 1
9.1%
합 1
9.1%
Common
ValueCountFrequency (%)
> 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
84.6%
ASCII 2
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
> 2
100.0%
Hangul
ValueCountFrequency (%)
계 2
18.2%
대 1
9.1%
분 1
9.1%
류 1
9.1%
개 1
9.1%
인 1
9.1%
소 1
9.1%
단 1
9.1%
체 1
9.1%
합 1
9.1%

Unnamed: 1
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing28
Missing (%)57.1%
Memory size524.0 B
2024-03-14T11:14:09.094617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length6
Min length2

Characters and Unicode

Total characters126
Distinct characters67
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row중분류
2nd row장애인
3rd row저소득층
4th row소년소녀가장
5th row국가유공자(상이등급판정자)
ValueCountFrequency (%)
중분류 1
 
4.3%
종합사회복지시설 1
 
4.3%
해외 1
 
4.3%
기타시설 1
 
4.3%
등 1
 
4.3%
시설(마을회관 1
 
4.3%
농어촌지역 1
 
4.3%
노인시설 1
 
4.3%
다문화가정지원센터 1
 
4.3%
국가유공자단체 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T11:14:09.382196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 6
 
4.8%
설 6
 
4.8%
시 6
 
4.8%
정 4
 
3.2%
인 4
 
3.2%
소 4
 
3.2%
이 4
 
3.2%
자 3
 
2.4%
한 3
 
2.4%
( 3
 
2.4%
Other values (57) 83
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
92.1%
Open Punctuation 3
 
2.4%
Close Punctuation 3
 
2.4%
Space Separator 2
 
1.6%
Decimal Number 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 6
 
5.2%
설 6
 
5.2%
시 6
 
5.2%
정 4
 
3.4%
인 4
 
3.4%
소 4
 
3.4%
이 4
 
3.4%
자 3
 
2.6%
한 3
 
2.6%
장 3
 
2.6%
Other values (52) 73
62.9%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
5 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
92.1%
Common 10
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 6
 
5.2%
설 6
 
5.2%
시 6
 
5.2%
정 4
 
3.4%
인 4
 
3.4%
소 4
 
3.4%
이 4
 
3.4%
자 3
 
2.6%
한 3
 
2.6%
장 3
 
2.6%
Other values (52) 73
62.9%
Common
ValueCountFrequency (%)
( 3
30.0%
) 3
30.0%
2
20.0%
6 1
 
10.0%
5 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
92.1%
ASCII 10
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 6
 
5.2%
설 6
 
5.2%
시 6
 
5.2%
정 4
 
3.4%
인 4
 
3.4%
소 4
 
3.4%
이 4
 
3.4%
자 3
 
2.6%
한 3
 
2.6%
장 3
 
2.6%
Other values (52) 73
62.9%
ASCII
ValueCountFrequency (%)
( 3
30.0%
) 3
30.0%
2
20.0%
6 1
 
10.0%
5 1
 
10.0%

Unnamed: 2
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing4
Missing (%)8.2%
Memory size524.0 B
2024-03-14T11:14:09.557781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.0666667
Min length2

Characters and Unicode

Total characters273
Distinct characters100
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row소분류
2nd row시각장애인
3rd row청각장애인
4th row지체장애인
5th row기타장애인
ValueCountFrequency (%)
기타 3
 
5.7%
다문화가정 1
 
1.9%
노인대학 1
 
1.9%
어린이보육원 1
 
1.9%
고아원 1
 
1.9%
아동시설 1
 
1.9%
국가유공자 1
 
1.9%
단체 1
 
1.9%
이주여성시설 1
 
1.9%
결혼이민자시설 1
 
1.9%
Other values (41) 41
77.4%
2024-03-14T11:14:09.907083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 14
 
5.1%
인 12
 
4.4%
설 12
 
4.4%
기 11
 
4.0%
타 9
 
3.3%
장 9
 
3.3%
애 8
 
2.9%
8
 
2.9%
이 7
 
2.6%
민 6
 
2.2%
Other values (90) 177
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
92.7%
Space Separator 8
 
2.9%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%
Uppercase Letter 3
 
1.1%
Decimal Number 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 14
 
5.5%
인 12
 
4.7%
설 12
 
4.7%
기 11
 
4.3%
타 9
 
3.6%
장 9
 
3.6%
애 8
 
3.2%
이 7
 
2.8%
민 6
 
2.4%
자 6
 
2.4%
Other values (81) 159
62.8%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
G 1
33.3%
O 1
33.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
92.7%
Common 17
 
6.2%
Latin 3
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 14
 
5.5%
인 12
 
4.7%
설 12
 
4.7%
기 11
 
4.3%
타 9
 
3.6%
장 9
 
3.6%
애 8
 
3.2%
이 7
 
2.8%
민 6
 
2.4%
자 6
 
2.4%
Other values (81) 159
62.8%
Common
ValueCountFrequency (%)
8
47.1%
( 3
 
17.6%
) 3
 
17.6%
, 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
Latin
ValueCountFrequency (%)
N 1
33.3%
G 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
92.7%
ASCII 20
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 14
 
5.5%
인 12
 
4.7%
설 12
 
4.7%
기 11
 
4.3%
타 9
 
3.6%
장 9
 
3.6%
애 8
 
3.2%
이 7
 
2.8%
민 6
 
2.4%
자 6
 
2.4%
Other values (81) 159
62.8%
ASCII
ValueCountFrequency (%)
8
40.0%
( 3
 
15.0%
) 3
 
15.0%
, 1
 
5.0%
N 1
 
5.0%
G 1
 
5.0%
O 1
 
5.0%
5 1
 
5.0%
6 1
 
5.0%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)6.1%
Memory size524.0 B

Unnamed: 4
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size524.0 B

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.0%
Memory size524.0 B

Unnamed: 6
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size524.0 B

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.0%
Memory size524.0 B

Unnamed: 8
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size524.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.0%
Memory size524.0 B

Unnamed: 10
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size524.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.0%
Memory size524.0 B

Unnamed: 12
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size524.0 B

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.0%
Memory size524.0 B

Unnamed: 14
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size524.0 B

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.0%
Memory size524.0 B

Unnamed: 16
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size524.0 B

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)4.1%
Memory size524.0 B

Correlations

2024-03-14T11:14:09.988593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보급대상별 PC보급 현황Unnamed: 1Unnamed: 2
보급대상별 PC보급 현황1.0001.0001.000
Unnamed: 11.0001.0001.000
Unnamed: 21.0001.0001.000

Missing values

2024-03-14T11:14:07.857315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:14:08.052444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-14T11:14:08.230516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

보급대상별 PC보급 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17
0대분류중분류소분류보급코드2009NaN2010NaN2011NaN2012NaN2013NaN2014NaN2015.10월말NaN
1<NA><NA><NA>NaN단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량
2>개인장애인시각장애인A1100757516161919333315151515
3<NA><NA>청각장애인A120020201111221515121255
4<NA><NA>지체장애인A130024124195954545134134113113103103
5<NA><NA>기타장애인A140077774848190190898951517070
6<NA>저소득층기초생활수급자A2100246246215215333333313313273273243243
7<NA><NA>차상위계층A2200191939394848555547475353
8<NA>소년소녀가장소년소녀가장A3100112200001111
9<NA>국가유공자(상이등급판정자)국가유공자(상이등급판정자)A41001010551414191921211313
보급대상별 PC보급 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17
39<NA><NA>대안학교B82002100000151313
40<NA><NA>기타단체B83003017212601332124810271249
41<NA><NA>마을회관B8400000035111300
42<NA>해외정부기관B9100000000000000
43<NA><NA>NGOB9200000000000000
44<NA><NA>재외공관B9300000000000000
45<NA><NA>학교시설B9400000000000000
46<NA><NA>기타B9900000000000000
47<NA>소계<NA>NaN0024015262379071965291013318321672263
48합계<NA><NA>NaN0010682354787145790212359591189811944643834