Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory52.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 남동구 지역아동센터 현황에 대한 데이터로 시설명,소재지,시설장,운영주체,연락처 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077601&srcSe=7661IVAWM27C61E190

Alerts

운영주체 is highly imbalanced (72.4%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
시설장 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:07:52.474541
Analysis finished2024-01-28 16:07:53.004896
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-01-29T01:07:53.073412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2024-01-29T01:07:53.199530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

시설명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-29T01:07:53.383129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.452381
Min length8

Characters and Unicode

Total characters397
Distinct characters86
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st rowMS지역아동센터
2nd row가온지역아동센터
3rd row간석지역아동센터
4th row간석으라차차지역아동센터
5th row고려대 지역아동센터
ValueCountFrequency (%)
지역아동센터 9
 
17.3%
ms지역아동센터 1
 
1.9%
웃음꽃지역아동센터 1
 
1.9%
서창지역아동센터 1
 
1.9%
엘림 1
 
1.9%
영문 1
 
1.9%
예꿈마을 1
 
1.9%
예사랑지역아동센터 1
 
1.9%
온새미로지역아동센터 1
 
1.9%
올리브나무지역아동센터 1
 
1.9%
Other values (34) 34
65.4%
2024-01-29T01:07:53.697345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 45
 
11.3%
동 45
 
11.3%
지 43
 
10.8%
역 42
 
10.6%
센 42
 
10.6%
터 42
 
10.6%
10
 
2.5%
사 4
 
1.0%
랑 4
 
1.0%
구 4
 
1.0%
Other values (76) 116
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
96.7%
Space Separator 10
 
2.5%
Uppercase Letter 2
 
0.5%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 45
11.7%
동 45
11.7%
지 43
 
11.2%
역 42
 
10.9%
센 42
 
10.9%
터 42
 
10.9%
사 4
 
1.0%
랑 4
 
1.0%
구 4
 
1.0%
이 3
 
0.8%
Other values (72) 110
28.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
96.7%
Common 11
 
2.8%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 45
11.7%
동 45
11.7%
지 43
 
11.2%
역 42
 
10.9%
센 42
 
10.9%
터 42
 
10.9%
사 4
 
1.0%
랑 4
 
1.0%
구 4
 
1.0%
이 3
 
0.8%
Other values (72) 110
28.6%
Common
ValueCountFrequency (%)
10
90.9%
3 1
 
9.1%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
96.7%
ASCII 13
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 45
11.7%
동 45
11.7%
지 43
 
11.2%
역 42
 
10.9%
센 42
 
10.9%
터 42
 
10.9%
사 4
 
1.0%
랑 4
 
1.0%
구 4
 
1.0%
이 3
 
0.8%
Other values (72) 110
28.6%
ASCII
ValueCountFrequency (%)
10
76.9%
3 1
 
7.7%
S 1
 
7.7%
M 1
 
7.7%

소재지
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-29T01:07:53.921336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40.5
Mean length30.833333
Min length23

Characters and Unicode

Total characters1295
Distinct characters98
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 석산로 35 2층 210호 (간석동 간석마을풍림아이원아파트 상가)
2nd row인천광역시 남동구 구월남로 68 (구월동)
3rd row인천광역시 남동구 용천로168번길 5 (간석동)
4th row인천광역시 남동구 문화로169번길 92 (간석동 2층)
5th row인천광역시 남동구 구월로 343 (만수동 2층)
ValueCountFrequency (%)
인천광역시 42
 
16.8%
남동구 42
 
16.8%
2층 17
 
6.8%
만수동 13
 
5.2%
구월동 9
 
3.6%
간석동 6
 
2.4%
3층 6
 
2.4%
논현동 4
 
1.6%
상가 3
 
1.2%
21 2
 
0.8%
Other values (97) 106
42.4%
2024-01-29T01:07:54.251516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
16.1%
동 89
 
6.9%
구 58
 
4.5%
2 55
 
4.2%
남 50
 
3.9%
인 45
 
3.5%
천 45
 
3.5%
시 44
 
3.4%
역 43
 
3.3%
광 42
 
3.2%
Other values (88) 616
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 784
60.5%
Decimal Number 212
 
16.4%
Space Separator 208
 
16.1%
Open Punctuation 40
 
3.1%
Close Punctuation 40
 
3.1%
Dash Punctuation 7
 
0.5%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 89
 
11.4%
구 58
 
7.4%
남 50
 
6.4%
인 45
 
5.7%
천 45
 
5.7%
시 44
 
5.6%
역 43
 
5.5%
광 42
 
5.4%
로 42
 
5.4%
층 29
 
3.7%
Other values (71) 297
37.9%
Decimal Number
ValueCountFrequency (%)
2 55
25.9%
1 34
16.0%
3 30
14.2%
0 16
 
7.5%
4 15
 
7.1%
5 14
 
6.6%
9 13
 
6.1%
7 13
 
6.1%
6 12
 
5.7%
8 10
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 784
60.5%
Common 509
39.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 89
 
11.4%
구 58
 
7.4%
남 50
 
6.4%
인 45
 
5.7%
천 45
 
5.7%
시 44
 
5.6%
역 43
 
5.5%
광 42
 
5.4%
로 42
 
5.4%
층 29
 
3.7%
Other values (71) 297
37.9%
Common
ValueCountFrequency (%)
208
40.9%
2 55
 
10.8%
( 40
 
7.9%
) 40
 
7.9%
1 34
 
6.7%
3 30
 
5.9%
0 16
 
3.1%
4 15
 
2.9%
5 14
 
2.8%
9 13
 
2.6%
Other values (5) 44
 
8.6%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 784
60.5%
ASCII 511
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
40.7%
2 55
 
10.8%
( 40
 
7.8%
) 40
 
7.8%
1 34
 
6.7%
3 30
 
5.9%
0 16
 
3.1%
4 15
 
2.9%
5 14
 
2.7%
9 13
 
2.5%
Other values (7) 46
 
9.0%
Hangul
ValueCountFrequency (%)
동 89
 
11.4%
구 58
 
7.4%
남 50
 
6.4%
인 45
 
5.7%
천 45
 
5.7%
시 44
 
5.6%
역 43
 
5.5%
광 42
 
5.4%
로 42
 
5.4%
층 29
 
3.7%
Other values (71) 297
37.9%

시설장
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-29T01:07:54.435251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9761905
Min length2

Characters and Unicode

Total characters125
Distinct characters62
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

Unique42 ?
Unique (%)100.0%

Sample

1st row조종옥
2nd row김영희
3rd row정옥선
4th row임정숙
5th row장경순
ValueCountFrequency (%)
조종옥 1
 
2.4%
박은희 1
 
2.4%
박지연 1
 
2.4%
곽홍근 1
 
2.4%
김갑수 1
 
2.4%
윤귀염 1
 
2.4%
송정숙 1
 
2.4%
박미애 1
 
2.4%
문향숙 1
 
2.4%
박연화 1
 
2.4%
Other values (32) 32
76.2%
2024-01-29T01:07:54.708807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
8.8%
박 8
 
6.4%
숙 7
 
5.6%
이 6
 
4.8%
경 6
 
4.8%
희 5
 
4.0%
정 5
 
4.0%
순 5
 
4.0%
선 4
 
3.2%
옥 3
 
2.4%
Other values (52) 65
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
8.8%
박 8
 
6.4%
숙 7
 
5.6%
이 6
 
4.8%
경 6
 
4.8%
희 5
 
4.0%
정 5
 
4.0%
순 5
 
4.0%
선 4
 
3.2%
옥 3
 
2.4%
Other values (52) 65
52.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
8.8%
박 8
 
6.4%
숙 7
 
5.6%
이 6
 
4.8%
경 6
 
4.8%
희 5
 
4.0%
정 5
 
4.0%
순 5
 
4.0%
선 4
 
3.2%
옥 3
 
2.4%
Other values (52) 65
52.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
8.8%
박 8
 
6.4%
숙 7
 
5.6%
이 6
 
4.8%
경 6
 
4.8%
희 5
 
4.0%
정 5
 
4.0%
순 5
 
4.0%
선 4
 
3.2%
옥 3
 
2.4%
Other values (52) 65
52.0%

운영주체
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
개인
40 
법인
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 40
95.2%
법인 2
 
4.8%

Length

2024-01-29T01:07:54.821033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:07:54.896665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 40
95.2%
법인 2
 
4.8%

연락처
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-29T01:07:55.057431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02381
Min length12

Characters and Unicode

Total characters505
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

Unique42 ?
Unique (%)100.0%

Sample

1st row032-422-0685
2nd row032-428-4348
3rd row032-434-3004
4th row032-201-9477
5th row032-466-6686
ValueCountFrequency (%)
032-422-0685 1
 
2.4%
032-464-7975 1
 
2.4%
032-465-4610 1
 
2.4%
032-468-5791 1
 
2.4%
032-466-9789 1
 
2.4%
032-469-0644 1
 
2.4%
032-431-1532 1
 
2.4%
032-422-9634 1
 
2.4%
032-213-2201 1
 
2.4%
032-203-2911 1
 
2.4%
Other values (32) 32
76.2%
2024-01-29T01:07:55.342813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 86
17.0%
- 84
16.6%
0 72
14.3%
3 68
13.5%
4 60
11.9%
6 34
 
6.7%
7 25
 
5.0%
9 25
 
5.0%
1 19
 
3.8%
8 16
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 421
83.4%
Dash Punctuation 84
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 86
20.4%
0 72
17.1%
3 68
16.2%
4 60
14.3%
6 34
 
8.1%
7 25
 
5.9%
9 25
 
5.9%
1 19
 
4.5%
8 16
 
3.8%
5 16
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 86
17.0%
- 84
16.6%
0 72
14.3%
3 68
13.5%
4 60
11.9%
6 34
 
6.7%
7 25
 
5.0%
9 25
 
5.0%
1 19
 
3.8%
8 16
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 86
17.0%
- 84
16.6%
0 72
14.3%
3 68
13.5%
4 60
11.9%
6 34
 
6.7%
7 25
 
5.0%
9 25
 
5.0%
1 19
 
3.8%
8 16
 
3.2%

Interactions

2024-01-29T01:07:52.787445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:07:55.421411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지시설장운영주체연락처
연번1.0001.0001.0001.0000.0001.000
시설명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.000
운영주체0.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
2024-01-29T01:07:55.501882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영주체
연번1.0000.000
운영주체0.0001.000

Missing values

2024-01-29T01:07:52.874479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:07:52.968531image/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

연번시설명소재지시설장운영주체연락처
01MS지역아동센터인천광역시 남동구 석산로 35 2층 210호 (간석동 간석마을풍림아이원아파트 상가)조종옥개인032-422-0685
12가온지역아동센터인천광역시 남동구 구월남로 68 (구월동)김영희개인032-428-4348
23간석지역아동센터인천광역시 남동구 용천로168번길 5 (간석동)정옥선개인032-434-3004
34간석으라차차지역아동센터인천광역시 남동구 문화로169번길 92 (간석동 2층)임정숙개인032-201-9477
45고려대 지역아동센터인천광역시 남동구 구월로 343 (만수동 2층)장경순개인032-466-6686
56광성지역아동센터인천광역시 남동구 구월말로27번길 1 (구월동)이주희개인032-465-9712
67남동구 구립지역아동센터인천광역시 남동구 모래내로 14-5 (구월동)하재옥법인032-466-6601
78구월지역아동센터인천광역시 남동구 용천로 20 3층 (구월동)이현숙개인032-472-8300
89구월3지역아동센터인천광역시 남동구 문화서로23번길 13 (구월동 4층)박혜영개인032-201-5779
910꿈나무 지역아동센터인천광역시 남동구 남촌로 120 (남촌동 2층)이현경개인032-462-3522
연번시설명소재지시설장운영주체연락처
3233충헌지역아동센터인천광역시 남동구 서창남로2 서창12단지LH아파트내 주민복지동2층김경언개인032-463-8674
3334큰사랑행복한홈스쿨지역아동센터인천광역시 남동구 백범로124번길 162 (만수동 3층)박유준개인032-464-9925
3435하늘둥지지역아동센터인천광역시 남동구 청능대로715번길 59 (논현동 주공아파트 주민복지관)김순원개인032-423-8977
3536하늘마을지역아동센터인천광역시 남동구 논현로 45 2층 (논현동 논현휴먼시아 하늘마을)김경숙법인032-432-6382
3637한빛지역아동센터인천광역시 남동구 구월로137번길 40(간석동 3층)서인순개인032-439-3220
3738해피아이 지역아동센터인천광역시 남동구 만수서로37번길 32 (만수동)정해경개인032-428-5370
3839행복한지역아동센터인천광역시 남동구 남동대로898번길 25 (간석동)김신개인032-422-8291
3940희망지역아동센터인천광역시 남동구 소래로 669번길 30 302호(만수동)김경석개인032-462-4203
4041서창지역아동센터인천광역시 남동구 매소홀로1108(서창동 서창프라자 202호)박지연개인032-465-4610
4142희망온새미로지역아동센터인천광역시 남동구 석산로208번길 27-9, 2층 (구월동)김정순개인032-423-1306