Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory891.0 B
Average record size in memory38.7 B

Variable types

Text3
Numeric1

Dataset

Description서울특별시 중랑구에 위치한 아동복지센터 정보를 제공합니다. 데이터는 기관명, 정원, 전화번호, 주소 입니다. 참고해주시기 바랍니다. 감사합니다.
URLhttps://www.data.go.kr/data/15032440/fileData.do

Alerts

기관명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:18:29.280412
Analysis finished2023-12-12 17:18:29.690077
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:18:29.854655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.7391304
Min length8

Characters and Unicode

Total characters201
Distinct characters54
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

Unique23 ?
Unique (%)100.0%

Sample

1st row녹색지역아동센터
2nd row놀이터지역아동센터
3rd row동그라미지역아동센터
4th row동원지역아동센터
5th row마루아라지역아동센터
ValueCountFrequency (%)
녹색지역아동센터 1
 
4.2%
놀이터지역아동센터 1
 
4.2%
파랑새지역아동센터 1
 
4.2%
파란나라지역아동센터 1
 
4.2%
참좋은지역아동센터 1
 
4.2%
참이랑지역아동센터 1
 
4.2%
참사랑지역아동센터 1
 
4.2%
차오름지역아동센터 1
 
4.2%
즐거운지역아동센터 1
 
4.2%
지역아동센터 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T02:18:30.211183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
12.4%
24
11.9%
24
11.9%
23
11.4%
23
11.4%
23
11.4%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (44) 46
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
99.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
12.5%
24
12.0%
24
12.0%
23
11.5%
23
11.5%
23
11.5%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (43) 45
22.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
12.5%
24
12.0%
24
12.0%
23
11.5%
23
11.5%
23
11.5%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (43) 45
22.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
25
12.5%
24
12.0%
24
12.0%
23
11.5%
23
11.5%
23
11.5%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (43) 45
22.5%
ASCII
ValueCountFrequency (%)
1
100.0%

정원
Real number (ℝ)

Distinct11
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.608696
Minimum19
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T02:18:30.358731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q125
median29
Q332
95-th percentile38.7
Maximum41
Range22
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.2358139
Coefficient of variation (CV)0.21796918
Kurtosis-0.640912
Mean28.608696
Median Absolute Deviation (MAD)4
Skewness0.15903899
Sum658
Variance38.885375
MonotonicityNot monotonic
2023-12-13T02:18:30.465859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
29 4
17.4%
32 4
17.4%
25 4
17.4%
19 3
13.0%
35 2
8.7%
22 1
 
4.3%
23 1
 
4.3%
41 1
 
4.3%
39 1
 
4.3%
36 1
 
4.3%
ValueCountFrequency (%)
19 3
13.0%
22 1
 
4.3%
23 1
 
4.3%
25 4
17.4%
26 1
 
4.3%
29 4
17.4%
32 4
17.4%
35 2
8.7%
36 1
 
4.3%
39 1
 
4.3%
ValueCountFrequency (%)
41 1
 
4.3%
39 1
 
4.3%
36 1
 
4.3%
35 2
8.7%
32 4
17.4%
29 4
17.4%
26 1
 
4.3%
25 4
17.4%
23 1
 
4.3%
22 1
 
4.3%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:18:30.692900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length25.304348
Min length22

Characters and Unicode

Total characters582
Distinct characters45
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 겸재로 78, 3층 (면목동)
2nd row서울특별시 중랑구 동일로 880 (묵동)
3rd row서울특별시 중랑구 겸재로9길 15 (면목동)
4th row서울특별시 중랑구 면목로56길 38 (면목동)
5th row서울특별시 중랑구 신내로 115 (신내동)
ValueCountFrequency (%)
서울특별시 23
19.3%
중랑구 23
19.3%
면목동 12
 
10.1%
망우동 3
 
2.5%
3층 3
 
2.5%
38 2
 
1.7%
중화동 2
 
1.7%
상봉동 2
 
1.7%
2층 2
 
1.7%
신내동 2
 
1.7%
Other values (42) 45
37.8%
2023-12-13T02:18:31.067773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
16.5%
26
 
4.5%
26
 
4.5%
23
 
4.0%
23
 
4.0%
23
 
4.0%
23
 
4.0%
23
 
4.0%
23
 
4.0%
23
 
4.0%
Other values (35) 273
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
59.5%
Space Separator 96
 
16.5%
Decimal Number 89
 
15.3%
Close Punctuation 22
 
3.8%
Open Punctuation 22
 
3.8%
Other Punctuation 5
 
0.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
7.5%
26
 
7.5%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
Other values (20) 110
31.8%
Decimal Number
ValueCountFrequency (%)
1 18
20.2%
3 14
15.7%
8 12
13.5%
2 8
9.0%
5 8
9.0%
9 7
 
7.9%
4 7
 
7.9%
7 6
 
6.7%
6 5
 
5.6%
0 4
 
4.5%
Space Separator
ValueCountFrequency (%)
96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
59.5%
Common 236
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
7.5%
26
 
7.5%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
Other values (20) 110
31.8%
Common
ValueCountFrequency (%)
96
40.7%
) 22
 
9.3%
( 22
 
9.3%
1 18
 
7.6%
3 14
 
5.9%
8 12
 
5.1%
2 8
 
3.4%
5 8
 
3.4%
9 7
 
3.0%
4 7
 
3.0%
Other values (5) 22
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
59.5%
ASCII 236
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
40.7%
) 22
 
9.3%
( 22
 
9.3%
1 18
 
7.6%
3 14
 
5.9%
8 12
 
5.1%
2 8
 
3.4%
5 8
 
3.4%
9 7
 
3.0%
4 7
 
3.0%
Other values (5) 22
 
9.3%
Hangul
ValueCountFrequency (%)
26
 
7.5%
26
 
7.5%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
23
 
6.6%
Other values (20) 110
31.8%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:18:31.286957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.26087
Min length11

Characters and Unicode

Total characters259
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

Unique23 ?
Unique (%)100.0%

Sample

1st row070-8688-4343
2nd row02-973-7210
3rd row02-492-8728
4th row02-433-3324
5th row02-6671-7533
ValueCountFrequency (%)
070-8688-4343 1
 
4.3%
070-7434-3006 1
 
4.3%
02-432-5622 1
 
4.3%
02-494-0476 1
 
4.3%
02-493-3393 1
 
4.3%
02-433-3131 1
 
4.3%
02-493-0009 1
 
4.3%
02-433-2077 1
 
4.3%
02-495-9839 1
 
4.3%
02-438-3025 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T02:18:31.673734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
17.8%
0 43
16.6%
2 39
15.1%
3 35
13.5%
4 27
10.4%
9 17
 
6.6%
7 13
 
5.0%
8 12
 
4.6%
1 10
 
3.9%
6 9
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 213
82.2%
Dash Punctuation 46
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
20.2%
2 39
18.3%
3 35
16.4%
4 27
12.7%
9 17
 
8.0%
7 13
 
6.1%
8 12
 
5.6%
1 10
 
4.7%
6 9
 
4.2%
5 8
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 259
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
17.8%
0 43
16.6%
2 39
15.1%
3 35
13.5%
4 27
10.4%
9 17
 
6.6%
7 13
 
5.0%
8 12
 
4.6%
1 10
 
3.9%
6 9
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
17.8%
0 43
16.6%
2 39
15.1%
3 35
13.5%
4 27
10.4%
9 17
 
6.6%
7 13
 
5.0%
8 12
 
4.6%
1 10
 
3.9%
6 9
 
3.5%

Interactions

2023-12-13T02:18:29.446364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:18:31.780274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명정원주소전화번호
기관명1.0001.0001.0001.000
정원1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T02:18:29.577177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:18:29.657232image/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

기관명정원주소전화번호
0녹색지역아동센터29서울특별시 중랑구 겸재로 78, 3층 (면목동)070-8688-4343
1놀이터지역아동센터32서울특별시 중랑구 동일로 880 (묵동)02-973-7210
2동그라미지역아동센터29서울특별시 중랑구 겸재로9길 15 (면목동)02-492-8728
3동원지역아동센터19서울특별시 중랑구 면목로56길 38 (면목동)02-433-3324
4마루아라지역아동센터22서울특별시 중랑구 신내로 115 (신내동)02-6671-7533
5만나지역아동센터29서울특별시 중랑구 동일로 620, 3층 (면목동)02-438-9191
6면목지역아동센터23서울특별시 중랑구 면목로33길 79 (면목동)02-2209-6010
7봄이랑지역아동센터19서울특별시 중랑구 봉우재로58길 16, 3층02-432-3082
8생명강지역아동센터41서울특별시 중랑구 동일로123길 21 (중화동)02-438-0118
9서울지역아동센터35서울특별시 중랑구 겸재로35길 38 (면목동)02-432-9004
기관명정원주소전화번호
13열린지역아동센터25서울특별시 중랑구 망우로67가길 11, 2층 (망우동)02-435-2153
14중화 지역아동센터25서울특별시 중랑구 봉화산로 98 (중화동)02-438-3025
15즐거운지역아동센터32서울특별시 중랑구 겸재로10길 11-13 (면목동)02-495-9839
16차오름지역아동센터19서울특별시 중랑구 상봉로 49 (면목동)02-433-2077
17참사랑지역아동센터32서울특별시 중랑구 면목로48길 56 (면목동)02-493-0009
18참이랑지역아동센터25서울특별시 중랑구 상봉중앙로1길 78 (상봉동)02-433-3131
19참좋은지역아동센터36서울특별시 중랑구 용마산로 442-1 (망우동)02-493-3393
20파란나라지역아동센터25서울특별시 중랑구 면목로 452 (면목동)02-494-0476
21파랑새지역아동센터26서울특별시 중랑구 용마산로129가길 54 (신내동)02-432-5622
22한길지역아동센터29서울특별시 중랑구 동일로110길 37 (상봉동)02-435-6022