Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.1 B

Variable types

Numeric1
Text3

Dataset

Description해당 데이터는 인천광역시 남동구의 동별 지역아동센터 현황에 관련된 자료로서, 인천광역시 남동구 동별 지역아동센터 현황의 연번, 지역아동센터명, 소재지, 연락처의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105591&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
지역아동센터명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:32:43.630476
Analysis finished2024-01-28 06:32:43.972750
Duration0.34 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
2024-01-28T15:32:44.024991image/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
2024-01-28T15:32:44.137751image/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%

지역아동센터명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-28T15:32:44.316202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.3333333
Min length2

Characters and Unicode

Total characters140
Distinct characters86
Distinct categories3 ?
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 rowMS
2nd row가온
3rd row간석으라차차
4th row간석
5th row고려대
ValueCountFrequency (%)
ms 1
 
2.4%
웃음꽃 1
 
2.4%
희망온새미로 1
 
2.4%
엘림 1
 
2.4%
영문 1
 
2.4%
예꿈마을 1
 
2.4%
예사랑 1
 
2.4%
온새미로 1
 
2.4%
올리브나무 1
 
2.4%
우리동네 1
 
2.4%
Other values (32) 32
76.2%
2024-01-28T15:32:44.596477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 4
 
2.9%
랑 4
 
2.9%
구 4
 
2.9%
이 3
 
2.1%
을 3
 
2.1%
마 3
 
2.1%
행 3
 
2.1%
복 3
 
2.1%
아 3
 
2.1%
동 3
 
2.1%
Other values (76) 107
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
97.9%
Uppercase Letter 2
 
1.4%
Decimal Number 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 4
 
2.9%
랑 4
 
2.9%
구 4
 
2.9%
이 3
 
2.2%
을 3
 
2.2%
마 3
 
2.2%
행 3
 
2.2%
복 3
 
2.2%
아 3
 
2.2%
동 3
 
2.2%
Other values (73) 104
75.9%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
97.9%
Latin 2
 
1.4%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 4
 
2.9%
랑 4
 
2.9%
구 4
 
2.9%
이 3
 
2.2%
을 3
 
2.2%
마 3
 
2.2%
행 3
 
2.2%
복 3
 
2.2%
아 3
 
2.2%
동 3
 
2.2%
Other values (73) 104
75.9%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Common
ValueCountFrequency (%)
3 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
97.9%
ASCII 3
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 4
 
2.9%
랑 4
 
2.9%
구 4
 
2.9%
이 3
 
2.2%
을 3
 
2.2%
마 3
 
2.2%
행 3
 
2.2%
복 3
 
2.2%
아 3
 
2.2%
동 3
 
2.2%
Other values (73) 104
75.9%
ASCII
ValueCountFrequency (%)
M 1
33.3%
3 1
33.3%
S 1
33.3%

소재지
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-28T15:32:44.755396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length22.404762
Min length16

Characters and Unicode

Total characters941
Distinct characters96
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 row석산로35번길, 풍림아파트상가210호 (간석4동)
2nd row구월남로68번길, 2층(구월3동)
3rd row문화로169번길92, 2층 (간석1동)
4th row용천로168번길5, 2층 (간석3동)
5th row구월로343번길, 2층 (만수5동)
ValueCountFrequency (%)
2층 16
 
11.4%
3층 5
 
3.6%
만수5동 3
 
2.1%
간석4동 3
 
2.1%
관리동 3
 
2.1%
구월2동 3
 
2.1%
만수1동 3
 
2.1%
구월4동 3
 
2.1%
만수4동 2
 
1.4%
만수3동 2
 
1.4%
Other values (91) 97
69.3%
2024-01-28T15:32:45.063083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
10.9%
2 64
 
6.8%
동 51
 
5.4%
1 47
 
5.0%
( 42
 
4.5%
로 42
 
4.5%
) 42
 
4.5%
번 36
 
3.8%
길 36
 
3.8%
3 34
 
3.6%
Other values (86) 444
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
48.7%
Decimal Number 255
27.1%
Space Separator 103
 
10.9%
Open Punctuation 42
 
4.5%
Close Punctuation 42
 
4.5%
Other Punctuation 31
 
3.3%
Dash Punctuation 6
 
0.6%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
11.1%
로 42
 
9.2%
번 36
 
7.9%
길 36
 
7.9%
층 27
 
5.9%
수 22
 
4.8%
만 19
 
4.1%
구 15
 
3.3%
월 15
 
3.3%
석 13
 
2.8%
Other values (68) 182
39.7%
Decimal Number
ValueCountFrequency (%)
2 64
25.1%
1 47
18.4%
3 34
13.3%
4 24
 
9.4%
0 21
 
8.2%
5 17
 
6.7%
7 14
 
5.5%
9 13
 
5.1%
6 12
 
4.7%
8 9
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
L 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 479
50.9%
Hangul 458
48.7%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
11.1%
로 42
 
9.2%
번 36
 
7.9%
길 36
 
7.9%
층 27
 
5.9%
수 22
 
4.8%
만 19
 
4.1%
구 15
 
3.3%
월 15
 
3.3%
석 13
 
2.8%
Other values (68) 182
39.7%
Common
ValueCountFrequency (%)
103
21.5%
2 64
13.4%
1 47
9.8%
( 42
8.8%
) 42
8.8%
3 34
 
7.1%
, 31
 
6.5%
4 24
 
5.0%
0 21
 
4.4%
5 17
 
3.5%
Other values (5) 54
11.3%
Latin
ValueCountFrequency (%)
A 2
50.0%
L 1
25.0%
H 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 483
51.3%
Hangul 458
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
21.3%
2 64
13.3%
1 47
9.7%
( 42
8.7%
) 42
8.7%
3 34
 
7.0%
, 31
 
6.4%
4 24
 
5.0%
0 21
 
4.3%
5 17
 
3.5%
Other values (8) 58
12.0%
Hangul
ValueCountFrequency (%)
동 51
 
11.1%
로 42
 
9.2%
번 36
 
7.9%
길 36
 
7.9%
층 27
 
5.9%
수 22
 
4.8%
만 19
 
4.1%
구 15
 
3.3%
월 15
 
3.3%
석 13
 
2.8%
Other values (68) 182
39.7%

연락처
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-28T15:32:45.239326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.047619
Min length12

Characters and Unicode

Total characters506
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 row032-201-9477
4th row032-434-3004
5th row032-466-6686
ValueCountFrequency (%)
032-422-0685 1
 
2.4%
032-464-7975 1
 
2.4%
032-423-1306 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%
2024-01-28T15:32:45.518150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 86
17.0%
- 84
16.6%
0 73
14.4%
3 67
13.2%
4 61
12.1%
6 33
 
6.5%
7 26
 
5.1%
9 25
 
4.9%
1 20
 
4.0%
8 16
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 422
83.4%
Dash Punctuation 84
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 86
20.4%
0 73
17.3%
3 67
15.9%
4 61
14.5%
6 33
 
7.8%
7 26
 
6.2%
9 25
 
5.9%
1 20
 
4.7%
8 16
 
3.8%
5 15
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 506
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 86
17.0%
- 84
16.6%
0 73
14.4%
3 67
13.2%
4 61
12.1%
6 33
 
6.5%
7 26
 
5.1%
9 25
 
4.9%
1 20
 
4.0%
8 16
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 86
17.0%
- 84
16.6%
0 73
14.4%
3 67
13.2%
4 61
12.1%
6 33
 
6.5%
7 26
 
5.1%
9 25
 
4.9%
1 20
 
4.0%
8 16
 
3.2%

Interactions

2024-01-28T15:32:43.809903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:32:45.595718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역아동센터명소재지연락처
연번1.0001.0001.0001.000
지역아동센터명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2024-01-28T15:32:43.890021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:32:43.948013image/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

연번지역아동센터명소재지연락처
01MS석산로35번길, 풍림아파트상가210호 (간석4동)032-422-0685
12가온구월남로68번길, 2층(구월3동)032-428-4348
23간석으라차차문화로169번길92, 2층 (간석1동)032-201-9477
34간석용천로168번길5, 2층 (간석3동)032-434-3004
45고려대구월로343번길, 2층 (만수5동)032-466-6686
56광성구월말로27번길1 (구월4동)032-465-9712
67구월3문화서로23번길13, 4층 (구월3동)032-201-5779
78구월용천로20번길, 3층 (구월1동)032-472-8300
89꿈나무남촌로120번길 (남촌도림동)032-462-3522
910나래백범로 247번길 54, 2층 (구월2동)032-205-4240
연번지역아동센터명소재지연락처
3233장미원인수로32번길22-2 (만수4동)070-4239-4954
3334충헌서창남로2 서창12단지LH아파트 주민복지동 2층 (서창2동)032-463-8674
3435큰사랑행복한홈스쿨백범로124번길162, 3층(만수4동)032-464-9925
3536하늘둥지청능대로715번길59,1203동 1층(논현1동)032-423-8977
3637하늘마을논현로45번길, 논현휴먼시아 하늘마을 관리동 2층 (논현2동)032-432-6382
3738한빛구월로 137번길 40, 3층 (간석1동)032-439-3220
3839해피아이만수서로37번길32 (만수3동)032-428-5370
3940행복한남동대로898번길25, 2층 (간석2동)032-422-8291
4041희망온새미로석산로208번길 27-9, 2층 (구월2동)032-423-1306
4142희망소래로669번길30, 302호 (만수1동)032-462-4203