Overview

Dataset statistics

Number of variables7
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory59.3 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description전국 건강가정·다문화가족지원센터의 가족상담 우수기관 목록입니다.파일데이터 제공목록(항목)은 순번, 지역, 센터명, 인증년도, 인증기간, 주소, 전화번호입니다.
Author한국건강가정진흥원
URLhttps://www.data.go.kr/data/15042341/fileData.do

Alerts

인증기간 is highly overall correlated with 인증년도High correlation
인증년도 is highly overall correlated with 인증기간High correlation
순번 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
센터명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:56:48.259785
Analysis finished2023-12-12 10:56:49.343434
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T19:56:49.458731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-12T19:56:49.697284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

지역
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size588.0 B
서울특별시
15 
경기도
14 
인천광역시
5 
부산광역시
4 
광주광역시
3 
Other values (11)
16 

Length

Max length7
Median length5
Mean length4.3333333
Min length3

Unique

Unique7 ?
Unique (%)12.3%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 15
26.3%
경기도 14
24.6%
인천광역시 5
 
8.8%
부산광역시 4
 
7.0%
광주광역시 3
 
5.3%
경상남도 3
 
5.3%
대구광역시 2
 
3.5%
전라북도 2
 
3.5%
경상북도 2
 
3.5%
대전광역시 1
 
1.8%
Other values (6) 6
 
10.5%

Length

2023-12-12T19:56:49.942435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 15
26.3%
경기도 14
24.6%
인천광역시 5
 
8.8%
부산광역시 4
 
7.0%
광주광역시 3
 
5.3%
경상남도 3
 
5.3%
대구광역시 2
 
3.5%
전라북도 2
 
3.5%
경상북도 2
 
3.5%
대전광역시 1
 
1.8%
Other values (6) 6
 
10.5%

센터명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T19:56:50.347588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.9122807
Min length7

Characters and Unicode

Total characters451
Distinct characters70
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

Unique57 ?
Unique (%)100.0%

Sample

1st row강남구가족센터
2nd row강동구가족센터
3rd row강북구가족센터
4th row관악구가족센터
5th row구로구가족센터
ValueCountFrequency (%)
강남구가족센터 1
 
1.8%
대전광역시가족센터 1
 
1.8%
가평군가족센터 1
 
1.8%
광명시가족센터 1
 
1.8%
구리시가족센터 1
 
1.8%
동두천시가족센터 1
 
1.8%
부천시건강가정지원센터 1
 
1.8%
성남시건강가정지원센터 1
 
1.8%
안산시건강가정지원센터 1
 
1.8%
안양시가족센터 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T19:56:51.002811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 58
12.9%
센 57
12.6%
터 57
12.6%
족 48
 
10.6%
구 32
 
7.1%
시 24
 
5.3%
강 12
 
2.7%
정 10
 
2.2%
원 10
 
2.2%
지 9
 
2.0%
Other values (60) 134
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 58
12.9%
센 57
12.6%
터 57
12.6%
족 48
 
10.6%
구 32
 
7.1%
시 24
 
5.3%
강 12
 
2.7%
정 10
 
2.2%
원 10
 
2.2%
지 9
 
2.0%
Other values (60) 134
29.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 58
12.9%
센 57
12.6%
터 57
12.6%
족 48
 
10.6%
구 32
 
7.1%
시 24
 
5.3%
강 12
 
2.7%
정 10
 
2.2%
원 10
 
2.2%
지 9
 
2.0%
Other values (60) 134
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 58
12.9%
센 57
12.6%
터 57
12.6%
족 48
 
10.6%
구 32
 
7.1%
시 24
 
5.3%
강 12
 
2.7%
정 10
 
2.2%
원 10
 
2.2%
지 9
 
2.0%
Other values (60) 134
29.7%

인증년도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
2022년
30 
2021년
18 
2020년
9 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022년
2nd row2022년
3rd row2021년
4th row2021년
5th row2022년

Common Values

ValueCountFrequency (%)
2022년 30
52.6%
2021년 18
31.6%
2020년 9
 
15.8%

Length

2023-12-12T19:56:51.279311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:51.485385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022년 30
52.6%
2021년 18
31.6%
2020년 9
 
15.8%

인증기간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-01~2023-12
30 
2022-01~2024-12
9 
2022-01~2023-12
9 
2021-01~2023-12
9 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01~2023-12
2nd row2023-01~2023-12
3rd row2022-01~2024-12
4th row2022-01~2023-12
5th row2023-01~2023-12

Common Values

ValueCountFrequency (%)
2023-01~2023-12 30
52.6%
2022-01~2024-12 9
 
15.8%
2022-01~2023-12 9
 
15.8%
2021-01~2023-12 9
 
15.8%

Length

2023-12-12T19:56:51.683314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:51.889068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01~2023-12 30
52.6%
2022-01~2024-12 9
 
15.8%
2022-01~2023-12 9
 
15.8%
2021-01~2023-12 9
 
15.8%

주소
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T19:56:52.379495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length32
Mean length26.77193
Min length13

Characters and Unicode

Total characters1526
Distinct characters194
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

Unique57 ?
Unique (%)100.0%

Sample

1st row서울 강남구 개포로 617-8
2nd row서울시 강동구 양재대로 1634, 3층
3rd row서울시 강북구 한천로 129길 6
4th row서울시 관악구 신림로 3길 35 김삼준문화복지기념관 3층 사무실
5th row서울시 구로구 우마2길 35, 구로구가족통합지원센터 2,3층
ValueCountFrequency (%)
서울시 14
 
4.1%
경기도 13
 
3.8%
3층 13
 
3.8%
2층 10
 
3.0%
4층 5
 
1.5%
인천시 4
 
1.2%
5층 3
 
0.9%
경북 2
 
0.6%
35 2
 
0.6%
1동 2
 
0.6%
Other values (259) 270
79.9%
2023-12-12T19:56:53.110897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
288
 
18.9%
시 57
 
3.7%
로 53
 
3.5%
1 51
 
3.3%
구 49
 
3.2%
층 41
 
2.7%
3 40
 
2.6%
2 34
 
2.2%
4 30
 
2.0%
동 28
 
1.8%
Other values (184) 855
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
61.1%
Space Separator 288
 
18.9%
Decimal Number 246
 
16.1%
Other Punctuation 19
 
1.2%
Open Punctuation 17
 
1.1%
Close Punctuation 17
 
1.1%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 57
 
6.1%
로 53
 
5.7%
구 49
 
5.3%
층 41
 
4.4%
동 28
 
3.0%
도 23
 
2.5%
산 22
 
2.4%
경 21
 
2.3%
서 20
 
2.1%
길 20
 
2.1%
Other values (169) 598
64.2%
Decimal Number
ValueCountFrequency (%)
1 51
20.7%
3 40
16.3%
2 34
13.8%
4 30
12.2%
5 20
 
8.1%
6 19
 
7.7%
9 17
 
6.9%
0 16
 
6.5%
8 10
 
4.1%
7 9
 
3.7%
Space Separator
ValueCountFrequency (%)
288
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
61.1%
Common 594
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 57
 
6.1%
로 53
 
5.7%
구 49
 
5.3%
층 41
 
4.4%
동 28
 
3.0%
도 23
 
2.5%
산 22
 
2.4%
경 21
 
2.3%
서 20
 
2.1%
길 20
 
2.1%
Other values (169) 598
64.2%
Common
ValueCountFrequency (%)
288
48.5%
1 51
 
8.6%
3 40
 
6.7%
2 34
 
5.7%
4 30
 
5.1%
5 20
 
3.4%
, 19
 
3.2%
6 19
 
3.2%
( 17
 
2.9%
) 17
 
2.9%
Other values (5) 59
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
61.1%
ASCII 594
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
288
48.5%
1 51
 
8.6%
3 40
 
6.7%
2 34
 
5.7%
4 30
 
5.1%
5 20
 
3.4%
, 19
 
3.2%
6 19
 
3.2%
( 17
 
2.9%
) 17
 
2.9%
Other values (5) 59
 
9.9%
Hangul
ValueCountFrequency (%)
시 57
 
6.1%
로 53
 
5.7%
구 49
 
5.3%
층 41
 
4.4%
동 28
 
3.0%
도 23
 
2.5%
산 22
 
2.4%
경 21
 
2.3%
서 20
 
2.1%
길 20
 
2.1%
Other values (169) 598
64.2%

전화번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T19:56:53.571701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.807018
Min length11

Characters and Unicode

Total characters673
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

Unique57 ?
Unique (%)100.0%

Sample

1st row02-3412-2222
2nd row02-471-0812
3rd row02-987-2567
4th row02-883-9383
5th row02-869-0317
ValueCountFrequency (%)
02-3412-2222 1
 
1.8%
042-932-9995 1
 
1.8%
031-582-9902 1
 
1.8%
02-6265-1366 1
 
1.8%
031-556-3873 1
 
1.8%
031-863-3801 1
 
1.8%
032-326-4212 1
 
1.8%
031-755-9327 1
 
1.8%
031-501-0033 1
 
1.8%
031-8045-5572 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T19:56:54.194309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.9%
0 102
15.2%
2 82
12.2%
3 82
12.2%
5 56
8.3%
1 53
7.9%
4 42
 
6.2%
6 39
 
5.8%
9 37
 
5.5%
7 36
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 559
83.1%
Dash Punctuation 114
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
18.2%
2 82
14.7%
3 82
14.7%
5 56
10.0%
1 53
9.5%
4 42
7.5%
6 39
 
7.0%
9 37
 
6.6%
7 36
 
6.4%
8 30
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 673
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.9%
0 102
15.2%
2 82
12.2%
3 82
12.2%
5 56
8.3%
1 53
7.9%
4 42
 
6.2%
6 39
 
5.8%
9 37
 
5.5%
7 36
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.9%
0 102
15.2%
2 82
12.2%
3 82
12.2%
5 56
8.3%
1 53
7.9%
4 42
 
6.2%
6 39
 
5.8%
9 37
 
5.5%
7 36
 
5.3%

Interactions

2023-12-12T19:56:48.869689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:56:54.387093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지역센터명인증년도인증기간주소전화번호
순번1.0000.8721.0000.3840.3141.0001.000
지역0.8721.0001.0000.0000.0001.0001.000
센터명1.0001.0001.0001.0001.0001.0001.000
인증년도0.3840.0001.0001.0001.0001.0001.000
인증기간0.3140.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-12T19:56:54.612468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역인증기간인증년도
지역1.0000.0000.000
인증기간0.0001.0000.991
인증년도0.0000.9911.000
2023-12-12T19:56:54.784875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지역인증년도인증기간
순번1.0000.5700.1980.128
지역0.5701.0000.0000.000
인증년도0.1980.0001.0000.991
인증기간0.1280.0000.9911.000

Missing values

2023-12-12T19:56:49.061857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:56:49.268888image/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

순번지역센터명인증년도인증기간주소전화번호
01서울특별시강남구가족센터2022년2023-01~2023-12서울 강남구 개포로 617-802-3412-2222
12서울특별시강동구가족센터2022년2023-01~2023-12서울시 강동구 양재대로 1634, 3층02-471-0812
23서울특별시강북구가족센터2021년2022-01~2024-12서울시 강북구 한천로 129길 602-987-2567
34서울특별시관악구가족센터2021년2022-01~2023-12서울시 관악구 신림로 3길 35 김삼준문화복지기념관 3층 사무실02-883-9383
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