Overview

Dataset statistics

Number of variables22
Number of observations49
Missing cells88
Missing cells (%)8.2%
Duplicate rows1
Duplicate rows (%)2.0%
Total size in memory8.6 KiB
Average record size in memory178.7 B

Variable types

Text3
Unsupported19

Alerts

Dataset has 1 (2.0%) duplicate rowsDuplicates
보급대상별 PC보급 현황 has 43 (87.8%) missing valuesMissing
Unnamed: 1 has 29 (59.2%) 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 1 (2.0%) missing valuesMissing
Unnamed: 19 has 1 (2.0%) missing valuesMissing
Unnamed: 21 has 1 (2.0%) 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
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 00:18:32.043942
Analysis finished2024-03-14 00:18:32.180655
Duration0.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5
Distinct (%)83.3%
Missing43
Missing (%)87.8%
Memory size524.0 B
2024-03-14T09:18:32.232378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters15
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

Unique4 ?
Unique (%)66.7%

Sample

1st row대분류
2nd row>개인
3rd row소계
4th row>단체
5th row소계
ValueCountFrequency (%)
소계 2
33.3%
대분류 1
16.7%
개인 1
16.7%
단체 1
16.7%
합계 1
16.7%
2024-03-14T09:18:32.676421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
20.0%
2
13.3%
> 2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
86.7%
Math Symbol 2
 
13.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
23.1%
2
15.4%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
86.7%
Common 2
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
23.1%
2
15.4%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Common
ValueCountFrequency (%)
> 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
86.7%
ASCII 2
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3
23.1%
2
15.4%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
ASCII
ValueCountFrequency (%)
> 2
100.0%

Unnamed: 1
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing29
Missing (%)59.2%
Memory size524.0 B
2024-03-14T09:18:32.832630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length6.2
Min length2

Characters and Unicode

Total characters124
Distinct characters66
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

Unique20 ?
Unique (%)100.0%

Sample

1st row중분류
2nd row장애인
3rd row저소득층
4th row소년소녀가장
5th row국가유공자(상이등급판정자)
ValueCountFrequency (%)
북한이탈주민 1
 
4.5%
장애인 1
 
4.5%
북한이탈주민센터 1
 
4.5%
기타시설 1
 
4.5%
1
 
4.5%
시설(마을회관 1
 
4.5%
농어촌지역 1
 
4.5%
노인시설 1
 
4.5%
다문화가정지원센터 1
 
4.5%
국가유공자단체 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T09:18:33.175637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
4.8%
6
 
4.8%
6
 
4.8%
4
 
3.2%
4
 
3.2%
4
 
3.2%
) 3
 
2.4%
3
 
2.4%
3
 
2.4%
( 3
 
2.4%
Other values (56) 82
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
91.9%
Close Punctuation 3
 
2.4%
Open Punctuation 3
 
2.4%
Space Separator 2
 
1.6%
Decimal Number 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
5.3%
6
 
5.3%
6
 
5.3%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (51) 72
63.2%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
5 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
91.9%
Common 10
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
5.3%
6
 
5.3%
6
 
5.3%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (51) 72
63.2%
Common
ValueCountFrequency (%)
) 3
30.0%
( 3
30.0%
2
20.0%
6 1
 
10.0%
5 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
91.9%
ASCII 10
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
5.3%
6
 
5.3%
6
 
5.3%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (51) 72
63.2%
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
2024-03-14T09:18:33.359387image/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%
2024-03-14T09:18:33.670074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
5.1%
12
 
4.4%
12
 
4.4%
11
 
4.0%
9
 
3.3%
9
 
3.3%
8
 
2.9%
8
 
2.9%
7
 
2.6%
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 (%)
14
 
5.5%
12
 
4.7%
12
 
4.7%
11
 
4.3%
9
 
3.6%
9
 
3.6%
8
 
3.2%
7
 
2.8%
6
 
2.4%
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 (%)
14
 
5.5%
12
 
4.7%
12
 
4.7%
11
 
4.3%
9
 
3.6%
9
 
3.6%
8
 
3.2%
7
 
2.8%
6
 
2.4%
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 (%)
14
 
5.5%
12
 
4.7%
12
 
4.7%
11
 
4.3%
9
 
3.6%
9
 
3.6%
8
 
3.2%
7
 
2.8%
6
 
2.4%
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 

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

Unnamed: 18
Unsupported

REJECTED  UNSUPPORTED 

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

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 20
Unsupported

REJECTED  UNSUPPORTED 

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

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

보급대상별 PC보급 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21
0대분류중분류소분류보급코드2009NaN2010NaN2011NaN2012NaN2013NaN2014NaN2015NaN2016NaN2017NaN
1<NA><NA><NA>NaN단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량단체/개인수량
2>개인장애인시각장애인A1100757516161919333315151818262600
3<NA><NA>청각장애인A120020201111221515121277111100
4<NA><NA>지체장애인A13002412419595454513413411311313313310110100
5<NA><NA>기타장애인A140077774848190190898951517777616122
6<NA>저소득층기초생활수급자A2100246246215215333333313313273273292292215215247247
7<NA><NA>차상위계층A2200191939394848555547476363111111
8<NA>소년소녀가장소년소녀가장A31001122000011110000
9<NA>국가유공자(상이등급판정자)국가유공자(상이등급판정자)A41001010551414191921211616101000
보급대상별 PC보급 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21
39<NA><NA>대안학교B820021000001513131300
40<NA><NA>기타단체B8300301721260133212481027156351800
41<NA><NA>마을회관B84000000351113002400
42<NA>해외정부기관B91000000000000000000
43<NA><NA>NGOB92000000000000000000
44<NA><NA>재외공관B93000000000000000000
45<NA><NA>학교시설B94000000000000000000
46<NA><NA>기타B99000000000000000000
47소계<NA><NA>NaN00240152623790719652910133183216822926918224127
48합계<NA><NA>NaN0010682354787145790212359591189811944776986590703274377

Duplicate rows

Most frequently occurring

보급대상별 PC보급 현황Unnamed: 1Unnamed: 2# duplicates
0소계<NA><NA>2