Overview

Dataset statistics

Number of variables6
Number of observations49
Missing cells87
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory51.7 B

Variable types

Unsupported2
Text4

Dataset

Description장애인활동지원제공기관2014
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201954

Alerts

Unnamed: 0 has 49 (100.0%) missing valuesMissing
2014년 장애인 활동지원 제공기관 현황 has 34 (69.4%) missing valuesMissing
Unnamed: 2 has 1 (2.0%) missing valuesMissing
Unnamed: 3 has 1 (2.0%) missing valuesMissing
Unnamed: 4 has 1 (2.0%) missing valuesMissing
Unnamed: 5 has 1 (2.0%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:09:07.353282
Analysis finished2024-03-14 01:09:07.782742
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

2014년 장애인 활동지원 제공기관 현황
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing34
Missing (%)69.4%
Memory size524.0 B
2024-03-14T10:09:07.876010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters45
Distinct characters25
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

Unique15 ?
Unique (%)100.0%

Sample

1st row시/군
2nd row전주시
3rd row군산시
4th row익산시
5th row정읍시
ValueCountFrequency (%)
시/군 1
 
6.7%
전주시 1
 
6.7%
군산시 1
 
6.7%
익산시 1
 
6.7%
정읍시 1
 
6.7%
남원시 1
 
6.7%
김제시 1
 
6.7%
완주군 1
 
6.7%
진안군 1
 
6.7%
무주군 1
 
6.7%
Other values (5) 5
33.3%
2024-03-14T10:09:08.138680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 10
22.2%
시 7
15.6%
주 3
 
6.7%
산 2
 
4.4%
창 2
 
4.4%
안 2
 
4.4%
진 1
 
2.2%
고 1
 
2.2%
순 1
 
2.2%
실 1
 
2.2%
Other values (15) 15
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44
97.8%
Other Punctuation 1
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 10
22.7%
시 7
15.9%
주 3
 
6.8%
산 2
 
4.5%
창 2
 
4.5%
안 2
 
4.5%
진 1
 
2.3%
고 1
 
2.3%
순 1
 
2.3%
실 1
 
2.3%
Other values (14) 14
31.8%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44
97.8%
Common 1
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 10
22.7%
시 7
15.9%
주 3
 
6.8%
산 2
 
4.5%
창 2
 
4.5%
안 2
 
4.5%
진 1
 
2.3%
고 1
 
2.3%
순 1
 
2.3%
실 1
 
2.3%
Other values (14) 14
31.8%
Common
ValueCountFrequency (%)
/ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44
97.8%
ASCII 1
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 10
22.7%
시 7
15.9%
주 3
 
6.8%
산 2
 
4.5%
창 2
 
4.5%
안 2
 
4.5%
진 1
 
2.3%
고 1
 
2.3%
순 1
 
2.3%
실 1
 
2.3%
Other values (14) 14
31.8%
ASCII
ValueCountFrequency (%)
/ 1
100.0%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 3
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size524.0 B
2024-03-14T10:09:08.353842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.6458333
Min length4

Characters and Unicode

Total characters463
Distinct characters107
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row제공기관
2nd row(사)희망드림
3rd row예찬홈케어
4th rowGIP홈케어
5th row사)전북작은자의장애인자립생활센터
ValueCountFrequency (%)
제공기관 1
 
2.0%
김제제일사회복지관 1
 
2.0%
완주군장애인복지관 1
 
2.0%
구이노인복지센터 1
 
2.0%
완주나래복지센터 1
 
2.0%
진안군장애인종합복지관 1
 
2.0%
전북진안지역자활센터 1
 
2.0%
진안정형외과 1
 
2.0%
무주지역자활센터 1
 
2.0%
무주종합복지관 1
 
2.0%
Other values (39) 39
79.6%
2024-03-14T10:09:08.647226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 36
 
7.8%
인 25
 
5.4%
복 23
 
5.0%
장 22
 
4.8%
터 21
 
4.5%
센 21
 
4.5%
애 17
 
3.7%
관 16
 
3.5%
합 13
 
2.8%
활 12
 
2.6%
Other values (97) 257
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
97.4%
Close Punctuation 5
 
1.1%
Open Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 36
 
8.0%
인 25
 
5.5%
복 23
 
5.1%
장 22
 
4.9%
터 21
 
4.7%
센 21
 
4.7%
애 17
 
3.8%
관 16
 
3.5%
합 13
 
2.9%
활 12
 
2.7%
Other values (91) 245
54.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
I 1
33.3%
G 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
97.4%
Common 9
 
1.9%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 36
 
8.0%
인 25
 
5.5%
복 23
 
5.1%
장 22
 
4.9%
터 21
 
4.7%
센 21
 
4.7%
애 17
 
3.8%
관 16
 
3.5%
합 13
 
2.9%
활 12
 
2.7%
Other values (91) 245
54.3%
Common
ValueCountFrequency (%)
) 5
55.6%
( 3
33.3%
1
 
11.1%
Latin
ValueCountFrequency (%)
P 1
33.3%
I 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
97.4%
ASCII 12
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 36
 
8.0%
인 25
 
5.5%
복 23
 
5.1%
장 22
 
4.9%
터 21
 
4.7%
센 21
 
4.7%
애 17
 
3.8%
관 16
 
3.5%
합 13
 
2.9%
활 12
 
2.7%
Other values (91) 245
54.3%
ASCII
ValueCountFrequency (%)
) 5
41.7%
( 3
25.0%
1
 
8.3%
P 1
 
8.3%
I 1
 
8.3%
G 1
 
8.3%

Unnamed: 4
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing1
Missing (%)2.0%
Memory size524.0 B
2024-03-14T10:09:08.861938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.125
Min length4

Characters and Unicode

Total characters390
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row전화번호
2nd row275-8826
3rd row246-4000
4th row251-8776
5th row287-5538
ValueCountFrequency (%)
324-2710 2
 
4.2%
351-1119 1
 
2.1%
전화번호 1
 
2.1%
547-0431 1
 
2.1%
285-2325 1
 
2.1%
261-7801 1
 
2.1%
222-6087 1
 
2.1%
070-8821-1715 1
 
2.1%
432-8871 1
 
2.1%
432-9005 1
 
2.1%
Other values (37) 37
77.1%
2024-03-14T10:09:09.155025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 49
12.6%
2 43
11.0%
5 42
10.8%
3 39
10.0%
0 37
9.5%
4 36
9.2%
1 33
8.5%
8 32
8.2%
7 30
7.7%
6 26
6.7%
Other values (5) 23
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 337
86.4%
Dash Punctuation 49
 
12.6%
Other Letter 4
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 43
12.8%
5 42
12.5%
3 39
11.6%
0 37
11.0%
4 36
10.7%
1 33
9.8%
8 32
9.5%
7 30
8.9%
6 26
7.7%
9 19
5.6%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 386
99.0%
Hangul 4
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 49
12.7%
2 43
11.1%
5 42
10.9%
3 39
10.1%
0 37
9.6%
4 36
9.3%
1 33
8.5%
8 32
8.3%
7 30
7.8%
6 26
6.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386
99.0%
Hangul 4
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 49
12.7%
2 43
11.1%
5 42
10.9%
3 39
10.1%
0 37
9.6%
4 36
9.3%
1 33
8.5%
8 32
8.3%
7 30
7.8%
6 26
6.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 5
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing1
Missing (%)2.0%
Memory size524.0 B
2024-03-14T10:09:09.417183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.6875
Min length2

Characters and Unicode

Total characters993
Distinct characters113
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row주소
2nd row전라북도 전주시 덕진구 매봉16길 3 (금암동)
3rd row전라북도 전주시덕진구 백제대로 748-1, 1층
4th row전라북도 전주시덕진구 백제대로 748-1, 3층
5th row전라북도 전주시완산구 장승배기로 342, 5층
ValueCountFrequency (%)
전라북도 47
 
20.9%
익산시 5
 
2.2%
완주군 4
 
1.8%
김제시 4
 
1.8%
백제대로 3
 
1.3%
봉동읍 3
 
1.3%
무주군 3
 
1.3%
진안군 3
 
1.3%
진안읍 3
 
1.3%
정읍시 3
 
1.3%
Other values (121) 147
65.3%
2024-03-14T10:09:09.766443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
 
17.8%
전 54
 
5.4%
북 49
 
4.9%
라 47
 
4.7%
도 47
 
4.7%
1 35
 
3.5%
2 33
 
3.3%
군 26
 
2.6%
시 25
 
2.5%
읍 22
 
2.2%
Other values (103) 478
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
62.3%
Space Separator 177
 
17.8%
Decimal Number 166
 
16.7%
Dash Punctuation 19
 
1.9%
Open Punctuation 4
 
0.4%
Other Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 54
 
8.7%
북 49
 
7.9%
라 47
 
7.6%
도 47
 
7.6%
군 26
 
4.2%
시 25
 
4.0%
읍 22
 
3.6%
동 20
 
3.2%
주 18
 
2.9%
로 17
 
2.7%
Other values (88) 294
47.5%
Decimal Number
ValueCountFrequency (%)
1 35
21.1%
2 33
19.9%
3 20
12.0%
4 17
10.2%
7 16
9.6%
6 11
 
6.6%
9 11
 
6.6%
5 10
 
6.0%
8 8
 
4.8%
0 5
 
3.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
62.3%
Common 374
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 54
 
8.7%
북 49
 
7.9%
라 47
 
7.6%
도 47
 
7.6%
군 26
 
4.2%
시 25
 
4.0%
읍 22
 
3.6%
동 20
 
3.2%
주 18
 
2.9%
로 17
 
2.7%
Other values (88) 294
47.5%
Common
ValueCountFrequency (%)
177
47.3%
1 35
 
9.4%
2 33
 
8.8%
3 20
 
5.3%
- 19
 
5.1%
4 17
 
4.5%
7 16
 
4.3%
6 11
 
2.9%
9 11
 
2.9%
5 10
 
2.7%
Other values (5) 25
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
62.3%
ASCII 374
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
47.3%
1 35
 
9.4%
2 33
 
8.8%
3 20
 
5.3%
- 19
 
5.1%
4 17
 
4.5%
7 16
 
4.3%
6 11
 
2.9%
9 11
 
2.9%
5 10
 
2.7%
Other values (5) 25
 
6.7%
Hangul
ValueCountFrequency (%)
전 54
 
8.7%
북 49
 
7.9%
라 47
 
7.6%
도 47
 
7.6%
군 26
 
4.2%
시 25
 
4.0%
읍 22
 
3.6%
동 20
 
3.2%
주 18
 
2.9%
로 17
 
2.7%
Other values (88) 294
47.5%

Correlations

2024-03-14T10:09:09.842509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2014년 장애인 활동지원 제공기관 현황Unnamed: 3Unnamed: 4Unnamed: 5
2014년 장애인 활동지원 제공기관 현황1.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.000
Unnamed: 51.0001.0001.0001.000

Missing values

2024-03-14T10:09:07.569352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:09:07.650600image/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.
2024-03-14T10:09:07.730316image/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

Unnamed: 02014년 장애인 활동지원 제공기관 현황Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
0<NA><NA>NaN<NA><NA><NA>
1<NA>시/군순번제공기관전화번호주소
2<NA>전주시1(사)희망드림275-8826전라북도 전주시 덕진구 매봉16길 3 (금암동)
3<NA><NA>2예찬홈케어246-4000전라북도 전주시덕진구 백제대로 748-1, 1층
4<NA><NA>3GIP홈케어251-8776전라북도 전주시덕진구 백제대로 748-1, 3층
5<NA><NA>4사)전북작은자의장애인자립생활센터287-5538전라북도 전주시완산구 장승배기로 342, 5층
6<NA><NA>5중증장애인지역생활지원센터247-1509전라북도 전주시덕진구 동가재미2길 43
7<NA><NA>6학산종합사회복지관223-9999전라북도 전주시완산구 모악로 4726-1
8<NA><NA>7전주장애인종합복지관229-4114전라북도 전주시완산구 백제대로 20-41
9<NA>군산시8사)군산시장애인연합회463-1180전라북도 군산시 군산창길 1 (금동)
Unnamed: 02014년 장애인 활동지원 제공기관 현황Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
39<NA><NA>38전북장수지역자활센터352-7179전라북도 장수군 장수읍 장수북동길 17
40<NA>임실군39임실군장애인연합회643-5855전라북도 임실군 임실읍 호국로 1644
41<NA><NA>40임실노인복지센터(인존장학복지재단)643-0263전라북도 임실군 관촌면 사선3길 34
42<NA><NA>41신평재가노인복지센터010-6648-2448전라북도 임실군 신평면 석등슬치로 355
43<NA>순창군42둥지장애인활동지원센터653-0087전라북도 순창군 순창읍 순창로 225-14
44<NA><NA>43순창노인복지센터652-1236전라북도 순창군 순창읍 순창7길 22
45<NA><NA>44순창군장애인자활자립회653-0963전라북도 순창군 순창읍 남계리 618
46<NA>고창군45고창장애인자립생활지원센터561-2337전라북도 고창군 고창읍 월곡리 620
47<NA>부안군46우리재가 장기요양기관580-4736전라북도 부안군 진서면 석포리 393-1
48<NA><NA>47부안장애인종합복지관581-9260전라북도 부안군 부안읍 용암로 134