Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.1 B

Variable types

Categorical1
Text4

Dataset

Description장애인활동지원 제공기관 현황(2022.12.31)기준 - 자치구별 구분하여 기관명, 주소, 전화번호 기재되어 있어 장애인 활동지원 제공기관 선택시 필요한 정보를 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15079045/fileData.do

Alerts

사업기관명 has unique valuesUnique
대표자 has unique valuesUnique
연락번호 has unique valuesUnique
기관소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:19:15.303664
Analysis finished2023-12-12 17:19:15.947132
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
서구
7 
동구
5 
중구
5 
유성구
5 
대덕구
4 

Length

Max length3
Median length2
Mean length2.3461538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동구
2nd row동구
3rd row동구
4th row동구
5th row동구

Common Values

ValueCountFrequency (%)
서구 7
26.9%
동구 5
19.2%
중구 5
19.2%
유성구 5
19.2%
대덕구 4
15.4%

Length

2023-12-13T02:19:16.131385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:19:16.336072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 7
26.9%
동구 5
19.2%
중구 5
19.2%
유성구 5
19.2%
대덕구 4
15.4%

사업기관명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:19:16.631434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length11.269231
Min length4

Characters and Unicode

Total characters293
Distinct characters69
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row(사)대전장애우권익문제연구소
2nd row(사)한국지체장애인협회 동구지회
3rd row사회복지법인 밀알
4th row보문장애인자립생활센터
5th row사회복지법인 대전벧엘원
ValueCountFrequency (%)
사회복지법인 2
 
6.1%
사)대전장애우권익문제연구소 1
 
3.0%
대전지체장애인협회서구지회 1
 
3.0%
대덕장애인돌봄센터 1
 
3.0%
대덕구장애인자립생활센터 1
 
3.0%
장애인종합복지관 1
 
3.0%
대덕구 1
 
3.0%
우리복지 1
 
3.0%
사단법인 1
 
3.0%
푸른초장 1
 
3.0%
Other values (22) 22
66.7%
2023-12-13T02:19:17.150869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 19
 
6.5%
대 18
 
6.1%
장 18
 
6.1%
애 17
 
5.8%
지 17
 
5.8%
전 14
 
4.8%
회 12
 
4.1%
구 11
 
3.8%
센 10
 
3.4%
터 10
 
3.4%
Other values (59) 147
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
94.9%
Space Separator 7
 
2.4%
Open Punctuation 4
 
1.4%
Close Punctuation 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 19
 
6.8%
대 18
 
6.5%
장 18
 
6.5%
애 17
 
6.1%
지 17
 
6.1%
전 14
 
5.0%
회 12
 
4.3%
구 11
 
4.0%
센 10
 
3.6%
터 10
 
3.6%
Other values (56) 132
47.5%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
94.9%
Common 15
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 19
 
6.8%
대 18
 
6.5%
장 18
 
6.5%
애 17
 
6.1%
지 17
 
6.1%
전 14
 
5.0%
회 12
 
4.3%
구 11
 
4.0%
센 10
 
3.6%
터 10
 
3.6%
Other values (56) 132
47.5%
Common
ValueCountFrequency (%)
7
46.7%
( 4
26.7%
) 4
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
94.9%
ASCII 15
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 19
 
6.8%
대 18
 
6.5%
장 18
 
6.5%
애 17
 
6.1%
지 17
 
6.1%
전 14
 
5.0%
회 12
 
4.3%
구 11
 
4.0%
센 10
 
3.6%
터 10
 
3.6%
Other values (56) 132
47.5%
ASCII
ValueCountFrequency (%)
7
46.7%
( 4
26.7%
) 4
26.7%

대표자
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:19:17.505932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters50
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row김동철
2nd row김연숙
3rd row오상근
4th row신인수
5th row이성조
ValueCountFrequency (%)
김동철 1
 
3.8%
김연숙 1
 
3.8%
고혜신 1
 
3.8%
문선우 1
 
3.8%
서용원 1
 
3.8%
조수동 1
 
3.8%
백운현 1
 
3.8%
김호식 1
 
3.8%
박종해 1
 
3.8%
김영근 1
 
3.8%
Other values (16) 16
61.5%
2023-12-13T02:19:17.977752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
10.3%
인 4
 
5.1%
수 4
 
5.1%
조 2
 
2.6%
박 2
 
2.6%
준 2
 
2.6%
동 2
 
2.6%
선 2
 
2.6%
우 2
 
2.6%
남 2
 
2.6%
Other values (40) 48
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
10.3%
인 4
 
5.1%
수 4
 
5.1%
조 2
 
2.6%
박 2
 
2.6%
준 2
 
2.6%
동 2
 
2.6%
선 2
 
2.6%
우 2
 
2.6%
남 2
 
2.6%
Other values (40) 48
61.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
10.3%
인 4
 
5.1%
수 4
 
5.1%
조 2
 
2.6%
박 2
 
2.6%
준 2
 
2.6%
동 2
 
2.6%
선 2
 
2.6%
우 2
 
2.6%
남 2
 
2.6%
Other values (40) 48
61.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
10.3%
인 4
 
5.1%
수 4
 
5.1%
조 2
 
2.6%
박 2
 
2.6%
준 2
 
2.6%
동 2
 
2.6%
선 2
 
2.6%
우 2
 
2.6%
남 2
 
2.6%
Other values (40) 48
61.5%

연락번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:19:18.264442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row042-672-1482
2nd row042-383-7788
3rd row042-621-9800
4th row042-286-3036
5th row042-271-7001
ValueCountFrequency (%)
042-672-1482 1
 
3.8%
042-383-7788 1
 
3.8%
042-628-9726 1
 
3.8%
042-621-5858 1
 
3.8%
042-637-8846 1
 
3.8%
042-824-7797 1
 
3.8%
042-823-3693 1
 
3.8%
042-825-4611 1
 
3.8%
042-826-0030 1
 
3.8%
042-820-6880 1
 
3.8%
Other values (16) 16
61.5%
2023-12-13T02:19:18.666459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.7%
2 50
16.0%
0 48
15.4%
4 39
12.5%
8 27
8.7%
6 23
7.4%
7 19
 
6.1%
3 18
 
5.8%
5 17
 
5.4%
1 13
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 50
19.2%
0 48
18.5%
4 39
15.0%
8 27
10.4%
6 23
8.8%
7 19
 
7.3%
3 18
 
6.9%
5 17
 
6.5%
1 13
 
5.0%
9 6
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.7%
2 50
16.0%
0 48
15.4%
4 39
12.5%
8 27
8.7%
6 23
7.4%
7 19
 
6.1%
3 18
 
5.8%
5 17
 
5.4%
1 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.7%
2 50
16.0%
0 48
15.4%
4 39
12.5%
8 27
8.7%
6 23
7.4%
7 19
 
6.1%
3 18
 
5.8%
5 17
 
5.4%
1 13
 
4.2%

기관소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:19:19.056857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28.5
Mean length24.461538
Min length15

Characters and Unicode

Total characters636
Distinct characters101
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

Unique26 ?
Unique (%)100.0%

Sample

1st row동구 대전로 913 온누리빌딩 3층 (삼성동)
2nd row동구 옥천로 187 유락프라자 503호 (판암동)
3rd row동구 대전로 887 화성빌딩 4층 (삼성동)
4th row동구 옥천로 176번길 15-4 동진프라자 324호 (판암동)
5th row동구 대전로 758, 203호(원동, 뜰안채주상복합)
ValueCountFrequency (%)
서구 7
 
5.8%
동구 5
 
4.2%
유성구 5
 
4.2%
중구 5
 
4.2%
대덕구 4
 
3.3%
대전로 3
 
2.5%
판암동 2
 
1.7%
계룡로 2
 
1.7%
보문로 2
 
1.7%
삼성동 2
 
1.7%
Other values (82) 83
69.2%
2023-12-13T02:19:19.621898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
14.9%
동 37
 
5.8%
) 26
 
4.1%
로 26
 
4.1%
구 26
 
4.1%
( 26
 
4.1%
1 23
 
3.6%
, 21
 
3.3%
2 18
 
2.8%
5 16
 
2.5%
Other values (91) 322
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
52.4%
Decimal Number 132
 
20.8%
Space Separator 95
 
14.9%
Close Punctuation 26
 
4.1%
Open Punctuation 26
 
4.1%
Other Punctuation 22
 
3.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 37
 
11.1%
로 26
 
7.8%
구 26
 
7.8%
대 14
 
4.2%
호 13
 
3.9%
층 11
 
3.3%
성 10
 
3.0%
번 10
 
3.0%
길 9
 
2.7%
빌 9
 
2.7%
Other values (75) 168
50.5%
Decimal Number
ValueCountFrequency (%)
1 23
17.4%
2 18
13.6%
5 16
12.1%
6 15
11.4%
3 14
10.6%
7 14
10.6%
4 12
9.1%
0 12
9.1%
8 7
 
5.3%
9 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
. 1
 
4.5%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
52.4%
Common 303
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 37
 
11.1%
로 26
 
7.8%
구 26
 
7.8%
대 14
 
4.2%
호 13
 
3.9%
층 11
 
3.3%
성 10
 
3.0%
번 10
 
3.0%
길 9
 
2.7%
빌 9
 
2.7%
Other values (75) 168
50.5%
Common
ValueCountFrequency (%)
95
31.4%
) 26
 
8.6%
( 26
 
8.6%
1 23
 
7.6%
, 21
 
6.9%
2 18
 
5.9%
5 16
 
5.3%
6 15
 
5.0%
3 14
 
4.6%
7 14
 
4.6%
Other values (6) 35
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
52.4%
ASCII 303
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
31.4%
) 26
 
8.6%
( 26
 
8.6%
1 23
 
7.6%
, 21
 
6.9%
2 18
 
5.9%
5 16
 
5.3%
6 15
 
5.0%
3 14
 
4.6%
7 14
 
4.6%
Other values (6) 35
 
11.6%
Hangul
ValueCountFrequency (%)
동 37
 
11.1%
로 26
 
7.8%
구 26
 
7.8%
대 14
 
4.2%
호 13
 
3.9%
층 11
 
3.3%
성 10
 
3.0%
번 10
 
3.0%
길 9
 
2.7%
빌 9
 
2.7%
Other values (75) 168
50.5%

Correlations

2023-12-13T02:19:19.779981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분사업기관명대표자연락번호기관소재지
구분1.0001.0001.0001.0001.000
사업기관명1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
연락번호1.0001.0001.0001.0001.000
기관소재지1.0001.0001.0001.0001.000

Missing values

2023-12-13T02:19:15.721253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:19:15.890646image/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.

Sample

구분사업기관명대표자연락번호기관소재지
0동구(사)대전장애우권익문제연구소김동철042-672-1482동구 대전로 913 온누리빌딩 3층 (삼성동)
1동구(사)한국지체장애인협회 동구지회김연숙042-383-7788동구 옥천로 187 유락프라자 503호 (판암동)
2동구사회복지법인 밀알오상근042-621-9800동구 대전로 887 화성빌딩 4층 (삼성동)
3동구보문장애인자립생활센터신인수042-286-3036동구 옥천로 176번길 15-4 동진프라자 324호 (판암동)
4동구사회복지법인 대전벧엘원이성조042-271-7001동구 대전로 758, 203호(원동, 뜰안채주상복합)
5중구대전중구지역자활센터김인희042-223-4022중구 대흥로175번길 16(대흥동)
6중구대전광역시립산성종합복지관이상용042-586-8004중구 유등천동로232(산성동)
7중구대전지체장애인협회 중구지회김채린042-255-3955중구 보문로 111(부사동)
8중구대전광역시근육장애인협회정민영042-524-6778중구 계룡로 825, 1층 (용두동, 희영빌딩)
9중구대전광역시척수장애인협회남성우042-255-0080중구 보문로 246, 707호 (대흥동, 대림빌딩)
구분사업기관명대표자연락번호기관소재지
16서구(사)참사랑장애인협회김춘두042-710-4090서구 대덕대로 325, 7층 61호(월평동)
17유성구유성구장애인종합복지관김영근042-820-6880유성구 북유성대로 166번지(용계동)
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