Overview

Dataset statistics

Number of variables7
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory60.6 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description인천광역시 사회복지법인현황에 관한 데이터로 법인명, 설립연도, 주소, 연락처의 항목을 제공합니다. <br/>사회복지사업법
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15045180&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 담당부서High correlation
담당부서 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
법 인 명 has unique valuesUnique
주 소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:17:37.227968
Analysis finished2024-03-18 04:17:39.397288
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-18T13:17:39.461287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-03-18T13:17:39.618386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

법 인 명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-18T13:17:39.816238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.7
Min length2

Characters and Unicode

Total characters285
Distinct characters100
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

Unique50 ?
Unique (%)100.0%

Sample

1st row인천가톨릭사회복지회
2nd row백암재단
3rd row셀트리온복지재단
4th row새생명찾아주기운동본부
5th row성산하모니복지재단
ValueCountFrequency (%)
사회복지법인 3
 
5.2%
원 2
 
3.4%
인천가톨릭사회복지회 1
 
1.7%
백세재단 1
 
1.7%
한원복지재단 1
 
1.7%
색동원 1
 
1.7%
예닮 1
 
1.7%
정 1
 
1.7%
도 1
 
1.7%
오선복지재단 1
 
1.7%
Other values (45) 45
77.6%
2024-03-18T13:17:40.098225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 24
 
8.4%
단 24
 
8.4%
복 21
 
7.4%
지 21
 
7.4%
원 14
 
4.9%
인 11
 
3.9%
회 11
 
3.9%
사 10
 
3.5%
8
 
2.8%
성 7
 
2.5%
Other values (90) 134
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
97.2%
Space Separator 8
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 24
 
8.7%
단 24
 
8.7%
복 21
 
7.6%
지 21
 
7.6%
원 14
 
5.1%
인 11
 
4.0%
회 11
 
4.0%
사 10
 
3.6%
성 7
 
2.5%
법 6
 
2.2%
Other values (89) 128
46.2%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
97.2%
Common 8
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 24
 
8.7%
단 24
 
8.7%
복 21
 
7.6%
지 21
 
7.6%
원 14
 
5.1%
인 11
 
4.0%
회 11
 
4.0%
사 10
 
3.6%
성 7
 
2.5%
법 6
 
2.2%
Other values (89) 128
46.2%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
97.2%
ASCII 8
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 24
 
8.7%
단 24
 
8.7%
복 21
 
7.6%
지 21
 
7.6%
원 14
 
5.1%
인 11
 
4.0%
회 11
 
4.0%
사 10
 
3.6%
성 7
 
2.5%
법 6
 
2.2%
Other values (89) 128
46.2%
ASCII
ValueCountFrequency (%)
8
100.0%

대표자
Categorical

Distinct21
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
김oo
16 
이oo
8 
박oo
3 
정oo
2 
홍oo
2 
Other values (16)
19 

Length

Max length6
Median length3
Mean length3.08
Min length3

Unique

Unique13 ?
Unique (%)26.0%

Sample

1st row정oo
2nd row윤oo
3rd row박oo
4th row이oo
5th row최oo

Common Values

ValueCountFrequency (%)
김oo 16
32.0%
이oo 8
16.0%
박oo 3
 
6.0%
정oo 2
 
4.0%
홍oo 2
 
4.0%
임oo 2
 
4.0%
윤oo 2
 
4.0%
오oo 2
 
4.0%
장oo 1
 
2.0%
최oo 1
 
2.0%
Other values (11) 11
22.0%

Length

2024-03-18T13:17:40.214440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김oo 16
31.4%
이oo 8
15.7%
박oo 3
 
5.9%
정oo 2
 
3.9%
홍oo 2
 
3.9%
임oo 2
 
3.9%
윤oo 2
 
3.9%
오oo 2
 
3.9%
양oo 1
 
2.0%
한oo 1
 
2.0%
Other values (12) 12
23.5%

설립연도
Real number (ℝ)

Distinct32
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1988.22
Minimum1956
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-18T13:17:40.337459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1956
5-th percentile1957
Q11965.75
median1994
Q32008
95-th percentile2014.55
Maximum2021
Range65
Interquartile range (IQR)42.25

Descriptive statistics

Standard deviation21.498258
Coefficient of variation (CV)0.010812817
Kurtosis-1.4178462
Mean1988.22
Median Absolute Deviation (MAD)17
Skewness-0.31392851
Sum99411
Variance462.1751
MonotonicityNot monotonic
2024-03-18T13:17:40.458035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1957 6
 
12.0%
2008 5
 
10.0%
1999 3
 
6.0%
1977 3
 
6.0%
1993 2
 
4.0%
2011 2
 
4.0%
1958 2
 
4.0%
1988 2
 
4.0%
1959 2
 
4.0%
1965 1
 
2.0%
Other values (22) 22
44.0%
ValueCountFrequency (%)
1956 1
 
2.0%
1957 6
12.0%
1958 2
 
4.0%
1959 2
 
4.0%
1962 1
 
2.0%
1965 1
 
2.0%
1968 1
 
2.0%
1970 1
 
2.0%
1977 3
6.0%
1982 1
 
2.0%
ValueCountFrequency (%)
2021 1
 
2.0%
2017 1
 
2.0%
2015 1
 
2.0%
2014 1
 
2.0%
2013 1
 
2.0%
2012 1
 
2.0%
2011 2
 
4.0%
2010 1
 
2.0%
2008 5
10.0%
2007 1
 
2.0%

주 소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-18T13:17:40.712615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24.5
Mean length21.1
Min length13

Characters and Unicode

Total characters1055
Distinct characters111
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

Unique50 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 답동로23(경동)
2nd row인천광역시 미추홀구 매소홀로 418번길 14-57
3rd row인천광역시 연수구 아카데미로 51번길19
4th row인천광역시 남동구 남동대로 773, 2층
5th row인천광역시 남동구 경인로 547(2층)
ValueCountFrequency (%)
인천광역시 50
22.9%
부평구 12
 
5.5%
남동구 9
 
4.1%
경인로 6
 
2.8%
서구 6
 
2.8%
미추홀구 5
 
2.3%
연수구 5
 
2.3%
중구 4
 
1.8%
강화군 4
 
1.8%
계양구 3
 
1.4%
Other values (111) 114
52.3%
2024-03-18T13:17:41.129293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
15.9%
인 57
 
5.4%
천 51
 
4.8%
광 50
 
4.7%
역 50
 
4.7%
시 50
 
4.7%
구 48
 
4.5%
로 46
 
4.4%
1 34
 
3.2%
2 29
 
2.7%
Other values (101) 472
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 658
62.4%
Decimal Number 194
 
18.4%
Space Separator 168
 
15.9%
Close Punctuation 11
 
1.0%
Open Punctuation 11
 
1.0%
Dash Punctuation 10
 
0.9%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 57
 
8.7%
천 51
 
7.8%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
구 48
 
7.3%
로 46
 
7.0%
길 28
 
4.3%
동 25
 
3.8%
번 23
 
3.5%
Other values (86) 230
35.0%
Decimal Number
ValueCountFrequency (%)
1 34
17.5%
2 29
14.9%
3 22
11.3%
4 19
9.8%
5 19
9.8%
7 16
8.2%
6 15
7.7%
0 14
7.2%
9 14
7.2%
8 12
 
6.2%
Space Separator
ValueCountFrequency (%)
168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
62.4%
Common 397
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 57
 
8.7%
천 51
 
7.8%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
구 48
 
7.3%
로 46
 
7.0%
길 28
 
4.3%
동 25
 
3.8%
번 23
 
3.5%
Other values (86) 230
35.0%
Common
ValueCountFrequency (%)
168
42.3%
1 34
 
8.6%
2 29
 
7.3%
3 22
 
5.5%
4 19
 
4.8%
5 19
 
4.8%
7 16
 
4.0%
6 15
 
3.8%
0 14
 
3.5%
9 14
 
3.5%
Other values (5) 47
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 658
62.4%
ASCII 397
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
42.3%
1 34
 
8.6%
2 29
 
7.3%
3 22
 
5.5%
4 19
 
4.8%
5 19
 
4.8%
7 16
 
4.0%
6 15
 
3.8%
0 14
 
3.5%
9 14
 
3.5%
Other values (5) 47
 
11.8%
Hangul
ValueCountFrequency (%)
인 57
 
8.7%
천 51
 
7.8%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
구 48
 
7.3%
로 46
 
7.0%
길 28
 
4.3%
동 25
 
3.8%
번 23
 
3.5%
Other values (86) 230
35.0%

연락처
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-18T13:17:41.318756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04
Min length12

Characters and Unicode

Total characters602
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

Unique50 ?
Unique (%)100.0%

Sample

1st row032-765-6966
2nd row032-722-1399
3rd row032-850-4345
4th row032-469-6671
5th row032-423-7800
ValueCountFrequency (%)
032-765-6966 1
 
2.0%
032-584-0245 1
 
2.0%
032-832-1468 1
 
2.0%
032-574-0250 1
 
2.0%
070-8633-8246 1
 
2.0%
032-362-9300 1
 
2.0%
032-934-0630 1
 
2.0%
032-889-3118 1
 
2.0%
032-764-5221 1
 
2.0%
070-8805-0906 1
 
2.0%
Other values (40) 40
80.0%
2024-03-18T13:17:41.615348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
16.6%
0 96
15.9%
3 83
13.8%
2 79
13.1%
5 50
8.3%
4 38
 
6.3%
6 35
 
5.8%
1 33
 
5.5%
8 33
 
5.5%
7 32
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 502
83.4%
Dash Punctuation 100
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 96
19.1%
3 83
16.5%
2 79
15.7%
5 50
10.0%
4 38
 
7.6%
6 35
 
7.0%
1 33
 
6.6%
8 33
 
6.6%
7 32
 
6.4%
9 23
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 602
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
16.6%
0 96
15.9%
3 83
13.8%
2 79
13.1%
5 50
8.3%
4 38
 
6.3%
6 35
 
5.8%
1 33
 
5.5%
8 33
 
5.5%
7 32
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
16.6%
0 96
15.9%
3 83
13.8%
2 79
13.1%
5 50
8.3%
4 38
 
6.3%
6 35
 
5.8%
1 33
 
5.5%
8 33
 
5.5%
7 32
 
5.3%

담당부서
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
장애인복지과
16 
복지정책과
12 
아동정책과
7 
노인정책과
6 
영유아정책과
4 
Other values (3)
5 

Length

Max length6
Median length5
Mean length5.48
Min length5

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
장애인복지과 16
32.0%
복지정책과 12
24.0%
아동정책과 7
14.0%
노인정책과 6
 
12.0%
영유아정책과 4
 
8.0%
복지서비스과 3
 
6.0%
가족다문화과 1
 
2.0%
건강증진과 1
 
2.0%

Length

2024-03-18T13:17:41.748033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:17:41.839216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인복지과 16
32.0%
복지정책과 12
24.0%
아동정책과 7
14.0%
노인정책과 6
 
12.0%
영유아정책과 4
 
8.0%
복지서비스과 3
 
6.0%
가족다문화과 1
 
2.0%
건강증진과 1
 
2.0%

Interactions

2024-03-18T13:17:39.112938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:17:38.941092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:17:39.176782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:17:39.045785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:17:41.926895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법 인 명대표자설립연도주 소연락처담당부서
연번1.0001.0000.0000.6981.0001.0000.866
법 인 명1.0001.0001.0001.0001.0001.0001.000
대표자0.0001.0001.0000.5591.0001.0000.000
설립연도0.6981.0000.5591.0001.0001.0000.631
주 소1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
담당부서0.8661.0000.0000.6311.0001.0001.000
2024-03-18T13:17:42.010461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표자담당부서
대표자1.0000.000
담당부서0.0001.000
2024-03-18T13:17:42.077254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설립연도대표자담당부서
연번1.000-0.4730.0000.638
설립연도-0.4731.0000.1130.352
대표자0.0000.1131.0000.000
담당부서0.6380.3520.0001.000

Missing values

2024-03-18T13:17:39.267952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:17:39.357635image/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

연번법 인 명대표자설립연도주 소연락처담당부서
01인천가톨릭사회복지회정oo2013인천광역시 중구 답동로23(경동)032-765-6966복지정책과
12백암재단윤oo1988인천광역시 미추홀구 매소홀로 418번길 14-57032-722-1399복지정책과
23셀트리온복지재단박oo2006인천광역시 연수구 아카데미로 51번길19032-850-4345복지정책과
34새생명찾아주기운동본부이oo2001인천광역시 남동구 남동대로 773, 2층032-469-6671복지정책과
45성산하모니복지재단최oo2015인천광역시 남동구 경인로 547(2층)032-423-7800복지정책과
56네트워크홍oo1997인천광역시 부평구 경인로 963-1032-502-7600복지정책과
67지엠한마음재단코리아로ooooo2005인천광역시 부평구 부평대로 233032-520-1031복지정책과
78주안복지재단주oo2014인천광역시 남동구 문화로 247032-502-1999복지정책과
89한길재단정oo2011인천광역시 부평구 부평대로 33, 5층032-503-0043복지정책과
910명성복지회김oo1977인천광역시 계양구 아나지로 517032-552-9090복지정책과
연번법 인 명대표자설립연도주 소연락처담당부서
4041가산임oo1993인천광역시 서구 봉수대로 1618032-562-5221영유아정책과
4142청풍복지재단양oo1977인천광역시 강화군 강화남로 518번길 6-41(양도면 조산리)032-937-1755아동정책과
4243보라매이oo1957인천광역시 동구 화도진로 126(화수동)032-772-4450아동정책과
4344사회복지법인 일현김oo1958인천광역시 미추홀구 매소홀로 446번길 50(학익동)032-862-2301아동정책과
4445사회복지법인대원복지재단송oo1957인천광역시 미추홀구 석정로 329번길32(도화동)032-875-5607아동정책과
4546사회복지법인송암복지재단김oo1977인천광역시 부평구 일신로 25(일신동)032-515-8808아동정책과
4647사회복지법인 신명재단임oo1957인천광역시 부평구 경인로 749(십정동)032-501-0309아동정책과
4748사회복지법인응정재단유oo1965인천광역시 중구 마장포로 29번길 4(중산동)032-752-7788아동정책과
4849융신원이oo1968인천광역시 연수구 청학동 443-19032-832-1468가족다문화과
4950사회복지법인 원진재단김oo1984인천광역시 강화군 선원면 고식이길20번길 19-3032-933-4572건강증진과