Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory63.8 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description관내 지역아동센터에 대한 데이터로 지역아동센터의 시설명, 주소, 전용면적, 전화번호, 운영시간 등의 데이터가 수록되어 있습니다.
Author서울특별시 양천구
URLhttps://www.data.go.kr/data/15083601/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:33:52.667818
Analysis finished2024-03-14 14:33:54.516942
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-14T23:33:54.703817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-03-14T23:33:55.079984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-14T23:33:55.854991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6.5
Mean length4.4090909
Min length2

Characters and Unicode

Total characters97
Distinct characters67
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

Unique22 ?
Unique (%)100.0%

Sample

1st row꿈나무들의둥지
2nd row기린청소년
3rd row샘물
4th row선한
5th row그리스도의교회
ValueCountFrequency (%)
꿈나무들의둥지 1
 
3.7%
사무엘 1
 
3.7%
섬 1
 
3.7%
물댄동산목동 1
 
3.7%
초록나무학교 1
 
3.7%
아름드리 1
 
3.7%
비둘기 1
 
3.7%
한누리학교 1
 
3.7%
람 1
 
3.7%
예 1
 
3.7%
Other values (17) 17
63.0%
2024-03-14T23:33:57.099623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
5.2%
교 4
 
4.1%
나 4
 
4.1%
리 4
 
4.1%
무 3
 
3.1%
학 3
 
3.1%
한 3
 
3.1%
년 2
 
2.1%
드 2
 
2.1%
스 2
 
2.1%
Other values (57) 65
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
94.8%
Space Separator 5
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 4
 
4.3%
나 4
 
4.3%
리 4
 
4.3%
무 3
 
3.3%
학 3
 
3.3%
한 3
 
3.3%
년 2
 
2.2%
드 2
 
2.2%
스 2
 
2.2%
샘 2
 
2.2%
Other values (56) 63
68.5%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
94.8%
Common 5
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 4
 
4.3%
나 4
 
4.3%
리 4
 
4.3%
무 3
 
3.3%
학 3
 
3.3%
한 3
 
3.3%
년 2
 
2.2%
드 2
 
2.2%
스 2
 
2.2%
샘 2
 
2.2%
Other values (56) 63
68.5%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
94.8%
ASCII 5
 
5.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5
100.0%
Hangul
ValueCountFrequency (%)
교 4
 
4.3%
나 4
 
4.3%
리 4
 
4.3%
무 3
 
3.3%
학 3
 
3.3%
한 3
 
3.3%
년 2
 
2.2%
드 2
 
2.2%
스 2
 
2.2%
샘 2
 
2.2%
Other values (56) 63
68.5%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-14T23:33:57.786846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.136364
Min length16

Characters and Unicode

Total characters421
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 목동중앙북로8길 104
2nd row서울특별시 양천구 목동중앙본로 50
3rd row서울특별시 양천구 목동중앙북로 91
4th row서울특별시 양천구 목동중앙남로16다길 28
5th row서울특별시 양천구 목동중앙남로 57-7
ValueCountFrequency (%)
서울특별시 22
25.9%
양천구 22
25.9%
16 2
 
2.4%
28 2
 
2.4%
11 2
 
2.4%
15 1
 
1.2%
9 1
 
1.2%
남부순환로374 1
 
1.2%
가로공원로 1
 
1.2%
60길15 1
 
1.2%
Other values (30) 30
35.3%
2024-03-14T23:33:58.883816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
15.0%
로 24
 
5.7%
양 23
 
5.5%
서 22
 
5.2%
특 22
 
5.2%
별 22
 
5.2%
시 22
 
5.2%
천 22
 
5.2%
구 22
 
5.2%
울 22
 
5.2%
Other values (35) 157
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
67.9%
Decimal Number 71
 
16.9%
Space Separator 63
 
15.0%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 24
 
8.4%
양 23
 
8.0%
서 22
 
7.7%
특 22
 
7.7%
별 22
 
7.7%
시 22
 
7.7%
천 22
 
7.7%
구 22
 
7.7%
울 22
 
7.7%
길 15
 
5.2%
Other values (23) 70
24.5%
Decimal Number
ValueCountFrequency (%)
1 17
23.9%
5 9
12.7%
2 8
11.3%
3 7
9.9%
7 7
9.9%
6 6
 
8.5%
4 5
 
7.0%
9 4
 
5.6%
0 4
 
5.6%
8 4
 
5.6%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
67.9%
Common 135
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 24
 
8.4%
양 23
 
8.0%
서 22
 
7.7%
특 22
 
7.7%
별 22
 
7.7%
시 22
 
7.7%
천 22
 
7.7%
구 22
 
7.7%
울 22
 
7.7%
길 15
 
5.2%
Other values (23) 70
24.5%
Common
ValueCountFrequency (%)
63
46.7%
1 17
 
12.6%
5 9
 
6.7%
2 8
 
5.9%
3 7
 
5.2%
7 7
 
5.2%
6 6
 
4.4%
4 5
 
3.7%
9 4
 
3.0%
0 4
 
3.0%
Other values (2) 5
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
67.9%
ASCII 135
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
46.7%
1 17
 
12.6%
5 9
 
6.7%
2 8
 
5.9%
3 7
 
5.2%
7 7
 
5.2%
6 6
 
4.4%
4 5
 
3.7%
9 4
 
3.0%
0 4
 
3.0%
Other values (2) 5
 
3.7%
Hangul
ValueCountFrequency (%)
로 24
 
8.4%
양 23
 
8.0%
서 22
 
7.7%
특 22
 
7.7%
별 22
 
7.7%
시 22
 
7.7%
천 22
 
7.7%
구 22
 
7.7%
울 22
 
7.7%
길 15
 
5.2%
Other values (23) 70
24.5%

면적(제곱미터)
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.63636
Minimum83
Maximum299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-14T23:33:59.262044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile94.05
Q1106.5
median127.5
Q3151.75
95-th percentile248.4
Maximum299
Range216
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation53.515058
Coefficient of variation (CV)0.37783417
Kurtosis2.8495827
Mean141.63636
Median Absolute Deviation (MAD)25
Skewness1.6966428
Sum3116
Variance2863.8615
MonotonicityNot monotonic
2024-03-14T23:33:59.631752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
145 2
 
9.1%
299 1
 
4.5%
95 1
 
4.5%
250 1
 
4.5%
101 1
 
4.5%
115 1
 
4.5%
83 1
 
4.5%
137 1
 
4.5%
218 1
 
4.5%
116 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
83 1
4.5%
94 1
4.5%
95 1
4.5%
97 1
4.5%
101 1
4.5%
104 1
4.5%
114 1
4.5%
115 1
4.5%
116 1
4.5%
118 1
4.5%
ValueCountFrequency (%)
299 1
4.5%
250 1
4.5%
218 1
4.5%
175 1
4.5%
162 1
4.5%
154 1
4.5%
145 2
9.1%
139 1
4.5%
137 1
4.5%
132 1
4.5%

운영시간
Categorical

Distinct7
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size304.0 B
10:00~19:00
6 
11:00~20:00
6 
10:00~20:00
4 
10:30~19:30
3 
09:00~21:00
1 
Other values (2)
2 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique3 ?
Unique (%)13.6%

Sample

1st row10:00~19:00
2nd row11:00~20:00
3rd row10:00~19:00
4th row10:30~19:30
5th row10:00~19:00

Common Values

ValueCountFrequency (%)
10:00~19:00 6
27.3%
11:00~20:00 6
27.3%
10:00~20:00 4
18.2%
10:30~19:30 3
13.6%
09:00~21:00 1
 
4.5%
12:00~21:00 1
 
4.5%
13:00~21:00 1
 
4.5%

Length

2024-03-14T23:34:00.007191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:34:00.353761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00~19:00 6
27.3%
11:00~20:00 6
27.3%
10:00~20:00 4
18.2%
10:30~19:30 3
13.6%
09:00~21:00 1
 
4.5%
12:00~21:00 1
 
4.5%
13:00~21:00 1
 
4.5%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-14T23:34:01.141271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.136364
Min length12

Characters and Unicode

Total characters267
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

Unique22 ?
Unique (%)100.0%

Sample

1st row02-2651-2303
2nd row02-2647-7179
3rd row02-2651-2122
4th row02-2643-8584
5th row02-2653-8009
ValueCountFrequency (%)
02-2651-2303 1
 
4.5%
02-2647-7179 1
 
4.5%
02-2062-6377 1
 
4.5%
070-7397-0312 1
 
4.5%
02-2643-1296 1
 
4.5%
02-2694-7478 1
 
4.5%
02-2695-6507 1
 
4.5%
02-2605-7799 1
 
4.5%
02-2690-1813 1
 
4.5%
02-2602-9560 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T23:34:02.324477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 49
18.4%
0 47
17.6%
- 44
16.5%
6 26
9.7%
7 22
8.2%
9 18
 
6.7%
3 17
 
6.4%
4 14
 
5.2%
1 12
 
4.5%
5 11
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 223
83.5%
Dash Punctuation 44
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 49
22.0%
0 47
21.1%
6 26
11.7%
7 22
9.9%
9 18
 
8.1%
3 17
 
7.6%
4 14
 
6.3%
1 12
 
5.4%
5 11
 
4.9%
8 7
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 267
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 49
18.4%
0 47
17.6%
- 44
16.5%
6 26
9.7%
7 22
8.2%
9 18
 
6.7%
3 17
 
6.4%
4 14
 
5.2%
1 12
 
4.5%
5 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 267
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 49
18.4%
0 47
17.6%
- 44
16.5%
6 26
9.7%
7 22
8.2%
9 18
 
6.7%
3 17
 
6.4%
4 14
 
5.2%
1 12
 
4.5%
5 11
 
4.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-01-20
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-20
2nd row2024-01-20
3rd row2024-01-20
4th row2024-01-20
5th row2024-01-20

Common Values

ValueCountFrequency (%)
2024-01-20 22
100.0%

Length

2024-03-14T23:34:02.732247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:34:03.044202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-20 22
100.0%

Interactions

2024-03-14T23:33:53.428753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:33:52.975403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:33:53.663527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:33:53.201039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:34:03.233799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지면적(제곱미터)운영시간전화번호
연번1.0001.0001.0000.3480.0651.000
시설명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
면적(제곱미터)0.3481.0001.0001.0000.0001.000
운영시간0.0651.0001.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2024-03-14T23:34:03.501215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)운영시간
연번1.000-0.2160.000
면적(제곱미터)-0.2161.0000.000
운영시간0.0000.0001.000

Missing values

2024-03-14T23:33:53.987876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:33:54.367536image/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

연번시설명소재지면적(제곱미터)운영시간전화번호데이터기준일
01꿈나무들의둥지서울특별시 양천구 목동중앙북로8길 10414510:00~19:0002-2651-23032024-01-20
12기린청소년서울특별시 양천구 목동중앙본로 5029911:00~20:0002-2647-71792024-01-20
23샘물서울특별시 양천구 목동중앙북로 9113210:00~19:0002-2651-21222024-01-20
34선한서울특별시 양천구 목동중앙남로16다길 289710:30~19:3002-2643-85842024-01-20
45그리스도의교회서울특별시 양천구 목동중앙남로 57-716210:00~19:0002-2653-80092024-01-20
56강서성결행복한홈스쿨서울특별시 양천구 월정로19길 1111410:30~19:3002-2694-02052024-01-20
67드 림서울특별시 양천구 남부순환로61길1311809:00~21:0002-2697-33382024-01-20
78연 세서울특별시 양천구 신월로27길 1610410:00~19:00070-7404-91932024-01-20
89우 리서울특별시 양천구 중앙로51길 3612311:00~20:00070-4306-67122024-01-20
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