Overview

Dataset statistics

Number of variables3
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory996.0 B
Average record size in memory27.7 B

Variable types

Text2
Categorical1

Dataset

Description아동복지관련 사회복지법인 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Y06GDXDQG3Q2VAU6RB8020385809&infSeq=1

Alerts

설립목적 has constant value ""Constant
법인명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 20:59:42.461749
Analysis finished2023-12-10 20:59:42.749665
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T05:59:42.847092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1388889
Min length3

Characters and Unicode

Total characters113
Distinct characters28
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

Unique10 ?
Unique (%)27.8%

Sample

1st row고양시
2nd row광명시
3rd row남양주시
4th row동두천시
5th row동두천시
ValueCountFrequency (%)
성남시 6
16.7%
안양시 3
 
8.3%
수원시 3
 
8.3%
양주시 2
 
5.6%
평택시 2
 
5.6%
파주시 2
 
5.6%
의정부시 2
 
5.6%
용인시 2
 
5.6%
화성시 2
 
5.6%
동두천시 2
 
5.6%
Other values (10) 10
27.8%
2023-12-11T05:59:43.189842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
32.7%
9
 
8.0%
7
 
6.2%
7
 
6.2%
6
 
5.3%
5
 
4.4%
4
 
3.5%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (18) 29
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
32.7%
9
 
8.0%
7
 
6.2%
7
 
6.2%
6
 
5.3%
5
 
4.4%
4
 
3.5%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (18) 29
25.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
32.7%
9
 
8.0%
7
 
6.2%
7
 
6.2%
6
 
5.3%
5
 
4.4%
4
 
3.5%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (18) 29
25.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
32.7%
9
 
8.0%
7
 
6.2%
7
 
6.2%
6
 
5.3%
5
 
4.4%
4
 
3.5%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (18) 29
25.7%

법인명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T05:59:43.592735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.722222
Min length7

Characters and Unicode

Total characters422
Distinct characters87
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

Unique36 ?
Unique (%)100.0%

Sample

1st row사회복지법인 신애원
2nd row사회복지법인 빛나라
3rd row사회복지법인 휴먼복지회
4th row사회복지법인 운부마을
5th row사회복지법인 애신보육원
ValueCountFrequency (%)
사회복지법인 34
47.9%
선한사마리아원 1
 
1.4%
명륜 1
 
1.4%
설원복지재단 1
 
1.4%
원불교 1
 
1.4%
창필재단 1
 
1.4%
광명복지재단 1
 
1.4%
상생복지회 1
 
1.4%
미래국제재단 1
 
1.4%
사랑교육복지재단 1
 
1.4%
Other values (28) 28
39.4%
2023-12-11T05:59:43.866020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
10.9%
46
10.9%
37
 
8.8%
36
 
8.5%
35
 
8.3%
34
 
8.1%
34
 
8.1%
19
 
4.5%
19
 
4.5%
9
 
2.1%
Other values (77) 107
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
91.7%
Space Separator 35
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
46
11.9%
46
11.9%
37
 
9.6%
36
 
9.3%
34
 
8.8%
34
 
8.8%
19
 
4.9%
19
 
4.9%
9
 
2.3%
3
 
0.8%
Other values (76) 104
26.9%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 387
91.7%
Common 35
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
46
11.9%
46
11.9%
37
 
9.6%
36
 
9.3%
34
 
8.8%
34
 
8.8%
19
 
4.9%
19
 
4.9%
9
 
2.3%
3
 
0.8%
Other values (76) 104
26.9%
Common
ValueCountFrequency (%)
35
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
91.7%
ASCII 35
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
46
11.9%
46
11.9%
37
 
9.6%
36
 
9.3%
34
 
8.8%
34
 
8.8%
19
 
4.9%
19
 
4.9%
9
 
2.3%
3
 
0.8%
Other values (76) 104
26.9%
ASCII
ValueCountFrequency (%)
35
100.0%

설립목적
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
아동복지
36 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아동복지 36
100.0%

Length

2023-12-11T05:59:43.977376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:59:44.064009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아동복지 36
100.0%

Correlations

2023-12-11T05:59:44.109363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명법인명
시군명1.0001.000
법인명1.0001.000

Missing values

2023-12-11T05:59:42.617961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T05:59:42.721440image/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

시군명법인명설립목적
0고양시사회복지법인 신애원아동복지
1광명시사회복지법인 빛나라아동복지
2남양주시사회복지법인 휴먼복지회아동복지
3동두천시사회복지법인 운부마을아동복지
4동두천시사회복지법인 애신보육원아동복지
5부천시사회복지법인 한국펄벅재단아동복지
6성남시사회복지법인 안나의집아동복지
7성남시사회복지법인 분당우리복지재단아동복지
8성남시사회복지법인 미래재단아동복지
9성남시사회복지법인 은행골사람들아동복지
시군명법인명설립목적
26의왕시사회복지법인 명륜아동복지
27의정부시사회복지법인 사랑교육복지재단아동복지
28의정부시사회복지법인 김옥이재단아동복지
29파주시사회복지법인 송연재단아동복지
30파주시사회복지법인 경신재단아동복지
31평택시사회복지법인 애향원아동복지
32평택시사회복지법인 성육원아동복지
33포천시사회복지법인 이웃과함께아동복지
34화성시사회복지법인 평화복지재단아동복지
35화성시사회복지법인 백암복지재단아동복지