Overview

Dataset statistics

Number of variables9
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory82.1 B

Variable types

Numeric5
Text3
Categorical1

Dataset

Description서울특별시 관악구 지역아동센터 현황(아동센터시설명, 면적, 소새지 도로명주소, 전화번호, 정원(명)) 현황 데이터 자료
URLhttps://www.data.go.kr/data/15082026/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
면적(제곱미터) is highly overall correlated with 정원(명)High correlation
정원(명) is highly overall correlated with 면적(제곱미터)High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique
면적(제곱미터) has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:38:41.402164
Analysis finished2023-12-12 09:38:44.964801
Duration3.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:38:45.065150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T18:38:45.279703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

시설명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T18:38:45.511972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.9615385
Min length4

Characters and Unicode

Total characters233
Distinct characters72
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

Unique26 ?
Unique (%)100.0%

Sample

1st row관악청소년 지역아동센터
2nd row광동지역아동센터
3rd row꿈나무공부방
4th row꿈둥지 지역아동센터
5th row꿈마을지역아동센터
ValueCountFrequency (%)
지역아동센터 6
 
18.2%
관악청소년 1
 
3.0%
해성 1
 
3.0%
하늘지역아동센터 1
 
3.0%
청솔지역아동센터 1
 
3.0%
참좋은 1
 
3.0%
조원지역아동센터 1
 
3.0%
은천지역아동센터 1
 
3.0%
우리들의공부방 1
 
3.0%
열린지역아동센터 1
 
3.0%
Other values (18) 18
54.5%
2023-12-12T18:38:45.887502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
 
10.3%
지 24
 
10.3%
아 23
 
9.9%
센 22
 
9.4%
역 22
 
9.4%
터 22
 
9.4%
7
 
3.0%
부 4
 
1.7%
한 3
 
1.3%
꿈 3
 
1.3%
Other values (62) 79
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
97.0%
Space Separator 7
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
 
10.6%
지 24
 
10.6%
아 23
 
10.2%
센 22
 
9.7%
역 22
 
9.7%
터 22
 
9.7%
부 4
 
1.8%
한 3
 
1.3%
꿈 3
 
1.3%
공 3
 
1.3%
Other values (61) 76
33.6%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
97.0%
Common 7
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
 
10.6%
지 24
 
10.6%
아 23
 
10.2%
센 22
 
9.7%
역 22
 
9.7%
터 22
 
9.7%
부 4
 
1.8%
한 3
 
1.3%
꿈 3
 
1.3%
공 3
 
1.3%
Other values (61) 76
33.6%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
97.0%
ASCII 7
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
 
10.6%
지 24
 
10.6%
아 23
 
10.2%
센 22
 
9.7%
역 22
 
9.7%
터 22
 
9.7%
부 4
 
1.8%
한 3
 
1.3%
꿈 3
 
1.3%
공 3
 
1.3%
Other values (61) 76
33.6%
ASCII
ValueCountFrequency (%)
7
100.0%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.18308
Minimum74.9
Maximum251.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:38:46.016701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.9
5-th percentile77.31
Q1113.0025
median131.85
Q3185.65
95-th percentile242.4975
Maximum251.3
Range176.4
Interquartile range (IQR)72.6475

Descriptive statistics

Standard deviation52.032656
Coefficient of variation (CV)0.35352336
Kurtosis-0.60473021
Mean147.18308
Median Absolute Deviation (MAD)36.41
Skewness0.53437868
Sum3826.76
Variance2707.3972
MonotonicityNot monotonic
2023-12-12T18:38:46.156703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
129.0 1
 
3.8%
190.2 1
 
3.8%
184.0 1
 
3.8%
133.99 1
 
3.8%
155.2 1
 
3.8%
105.76 1
 
3.8%
122.38 1
 
3.8%
74.9 1
 
3.8%
251.3 1
 
3.8%
144.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
74.9 1
3.8%
77.08 1
3.8%
78.0 1
3.8%
84.0 1
3.8%
100.25 1
3.8%
105.76 1
3.8%
110.31 1
3.8%
121.08 1
3.8%
122.38 1
3.8%
125.29 1
3.8%
ValueCountFrequency (%)
251.3 1
3.8%
251.0 1
3.8%
216.99 1
3.8%
216.24 1
3.8%
206.82 1
3.8%
190.2 1
3.8%
186.2 1
3.8%
184.0 1
3.8%
173.07 1
3.8%
155.2 1
3.8%

소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T18:38:46.411456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length25.076923
Min length18

Characters and Unicode

Total characters652
Distinct characters77
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 난곡로63길 65, 3층
2nd row서울특별시 관악구 행운2길 31, 2층
3rd row서울특별시 관악구 난향12길 26
4th row서울특별시 관악구 쑥고개로 71, 2층
5th row서울특별시 관악구 양녕로 42, 2층
ValueCountFrequency (%)
서울특별시 26
19.0%
관악구 26
19.0%
2층 9
 
6.6%
3층 8
 
5.8%
71 3
 
2.2%
31 2
 
1.5%
남부순환로 2
 
1.5%
7 2
 
1.5%
양녕로 2
 
1.5%
난곡로20길 1
 
0.7%
Other values (56) 56
40.9%
2023-12-12T18:38:46.767339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
17.0%
1 32
 
4.9%
관 31
 
4.8%
악 29
 
4.4%
구 27
 
4.1%
울 26
 
4.0%
서 26
 
4.0%
시 26
 
4.0%
별 26
 
4.0%
특 26
 
4.0%
Other values (67) 292
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
59.8%
Decimal Number 126
 
19.3%
Space Separator 111
 
17.0%
Other Punctuation 24
 
3.7%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 31
 
7.9%
악 29
 
7.4%
구 27
 
6.9%
울 26
 
6.7%
서 26
 
6.7%
시 26
 
6.7%
별 26
 
6.7%
특 26
 
6.7%
층 19
 
4.9%
길 17
 
4.4%
Other values (53) 137
35.1%
Decimal Number
ValueCountFrequency (%)
1 32
25.4%
2 24
19.0%
3 21
16.7%
0 14
11.1%
6 11
 
8.7%
7 10
 
7.9%
4 6
 
4.8%
5 4
 
3.2%
9 3
 
2.4%
8 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 23
95.8%
/ 1
 
4.2%
Space Separator
ValueCountFrequency (%)
111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
59.8%
Common 262
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 31
 
7.9%
악 29
 
7.4%
구 27
 
6.9%
울 26
 
6.7%
서 26
 
6.7%
시 26
 
6.7%
별 26
 
6.7%
특 26
 
6.7%
층 19
 
4.9%
길 17
 
4.4%
Other values (53) 137
35.1%
Common
ValueCountFrequency (%)
111
42.4%
1 32
 
12.2%
2 24
 
9.2%
, 23
 
8.8%
3 21
 
8.0%
0 14
 
5.3%
6 11
 
4.2%
7 10
 
3.8%
4 6
 
2.3%
5 4
 
1.5%
Other values (4) 6
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
59.8%
ASCII 262
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
42.4%
1 32
 
12.2%
2 24
 
9.2%
, 23
 
8.8%
3 21
 
8.0%
0 14
 
5.3%
6 11
 
4.2%
7 10
 
3.8%
4 6
 
2.3%
5 4
 
1.5%
Other values (4) 6
 
2.3%
Hangul
ValueCountFrequency (%)
관 31
 
7.9%
악 29
 
7.4%
구 27
 
6.9%
울 26
 
6.7%
서 26
 
6.7%
시 26
 
6.7%
별 26
 
6.7%
특 26
 
6.7%
층 19
 
4.9%
길 17
 
4.4%
Other values (53) 137
35.1%

위도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.478178
Minimum37.462466
Maximum37.491279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:38:46.874954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.462466
5-th percentile37.463845
Q137.473571
median37.479419
Q337.48494
95-th percentile37.49054
Maximum37.491279
Range0.028813758
Interquartile range (IQR)0.011368413

Descriptive statistics

Standard deviation0.0087631304
Coefficient of variation (CV)0.00023381954
Kurtosis-0.9265052
Mean37.478178
Median Absolute Deviation (MAD)0.0057155544
Skewness-0.35988458
Sum974.43262
Variance7.6792454 × 10-5
MonotonicityNot monotonic
2023-12-12T18:38:46.974607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
37.4804104203 1
 
3.8%
37.4732941103 1
 
3.8%
37.4749865562 1
 
3.8%
37.4893949308 1
 
3.8%
37.474403399 1
 
3.8%
37.4844075334 1
 
3.8%
37.4761787463 1
 
3.8%
37.4815413664 1
 
3.8%
37.4883671437 1
 
3.8%
37.4833370523 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
37.462465655 1
3.8%
37.4636910201 1
3.8%
37.4643054044 1
3.8%
37.4660328815 1
3.8%
37.4663655345 1
3.8%
37.4686413637 1
3.8%
37.4732941103 1
3.8%
37.474403399 1
3.8%
37.4749865562 1
3.8%
37.4761787463 1
3.8%
ValueCountFrequency (%)
37.4912794134 1
3.8%
37.4909210289 1
3.8%
37.4893949308 1
3.8%
37.4883671437 1
3.8%
37.485788787 1
3.8%
37.4851523525 1
3.8%
37.4851172827 1
3.8%
37.4844075334 1
3.8%
37.4839170408 1
3.8%
37.4833370523 1
3.8%

경도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.93184
Minimum126.90873
Maximum126.96434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:38:47.076608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.90873
5-th percentile126.91203
Q1126.91742
median126.92815
Q3126.94543
95-th percentile126.96139
Maximum126.96434
Range0.05560397
Interquartile range (IQR)0.028004137

Descriptive statistics

Standard deviation0.017074086
Coefficient of variation (CV)0.00013451381
Kurtosis-0.95043391
Mean126.93184
Median Absolute Deviation (MAD)0.011976536
Skewness0.56347114
Sum3300.228
Variance0.00029152443
MonotonicityNot monotonic
2023-12-12T18:38:47.188895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
126.9110952061 1
 
3.8%
126.9643356369 1
 
3.8%
126.920763611 1
 
3.8%
126.9569465373 1
 
3.8%
126.9340730447 1
 
3.8%
126.9148449422 1
 
3.8%
126.9171784374 1
 
3.8%
126.9087316668 1
 
3.8%
126.9209991432 1
 
3.8%
126.9210835848 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
126.9087316668 1
3.8%
126.9110952061 1
3.8%
126.9148449422 1
3.8%
126.9151426263 1
3.8%
126.9159297428 1
3.8%
126.9164228984 1
3.8%
126.9171784374 1
3.8%
126.9181567238 1
3.8%
126.920763611 1
3.8%
126.9209991432 1
3.8%
ValueCountFrequency (%)
126.9643356369 1
3.8%
126.9615854248 1
3.8%
126.9608038222 1
3.8%
126.9569465373 1
3.8%
126.9486646402 1
3.8%
126.9470872519 1
3.8%
126.9457793999 1
3.8%
126.9443703846 1
3.8%
126.938889072 1
3.8%
126.9373715937 1
3.8%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T18:38:47.418289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.230769
Min length11

Characters and Unicode

Total characters292
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

Unique26 ?
Unique (%)100.0%

Sample

1st row02-859-6357
2nd row02-875-8555
3rd row02-868-3117
4th row02-888-9045
5th row02-871-4905
ValueCountFrequency (%)
02-859-6357 1
 
3.8%
02-875-8555 1
 
3.8%
02-872-8591 1
 
3.8%
02-875-1114 1
 
3.8%
02-857-5599 1
 
3.8%
02-857-7355 1
 
3.8%
02-838-9031 1
 
3.8%
02-839-1405 1
 
3.8%
02-884-8093 1
 
3.8%
02-3285-3580 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T18:38:47.791059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
17.8%
8 43
14.7%
0 41
14.0%
2 35
12.0%
5 28
9.6%
7 24
8.2%
3 17
 
5.8%
1 17
 
5.8%
9 14
 
4.8%
4 14
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
82.2%
Dash Punctuation 52
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 43
17.9%
0 41
17.1%
2 35
14.6%
5 28
11.7%
7 24
10.0%
3 17
 
7.1%
1 17
 
7.1%
9 14
 
5.8%
4 14
 
5.8%
6 7
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
17.8%
8 43
14.7%
0 41
14.0%
2 35
12.0%
5 28
9.6%
7 24
8.2%
3 17
 
5.8%
1 17
 
5.8%
9 14
 
4.8%
4 14
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
17.8%
8 43
14.7%
0 41
14.0%
2 35
12.0%
5 28
9.6%
7 24
8.2%
3 17
 
5.8%
1 17
 
5.8%
9 14
 
4.8%
4 14
 
4.8%

정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.769231
Minimum19
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:38:47.971434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q126
median35
Q336.75
95-th percentile43.75
Maximum49
Range30
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation8.5618115
Coefficient of variation (CV)0.26950012
Kurtosis-0.62188263
Mean31.769231
Median Absolute Deviation (MAD)5
Skewness-0.2462758
Sum826
Variance73.304615
MonotonicityNot monotonic
2023-12-12T18:38:48.096485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
35 7
26.9%
19 6
23.1%
29 3
11.5%
37 3
11.5%
40 2
 
7.7%
36 1
 
3.8%
25 1
 
3.8%
45 1
 
3.8%
49 1
 
3.8%
34 1
 
3.8%
ValueCountFrequency (%)
19 6
23.1%
25 1
 
3.8%
29 3
11.5%
34 1
 
3.8%
35 7
26.9%
36 1
 
3.8%
37 3
11.5%
40 2
 
7.7%
45 1
 
3.8%
49 1
 
3.8%
ValueCountFrequency (%)
49 1
 
3.8%
45 1
 
3.8%
40 2
 
7.7%
37 3
11.5%
36 1
 
3.8%
35 7
26.9%
34 1
 
3.8%
29 3
11.5%
25 1
 
3.8%
19 6
23.1%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-06-01
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 26
100.0%

Length

2023-12-12T18:38:48.573180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:38:48.686955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 26
100.0%

Interactions

2023-12-12T18:38:44.058997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:41.745419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.342755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.936880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.490141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:44.168900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:41.893966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.456635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.036170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.609045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:44.293157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:41.997886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.609214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.169078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.739410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:44.413771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.122383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.732105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.273693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.860513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:44.537956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.240558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:42.832606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.389708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:43.963820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:38:48.763322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명면적(제곱미터)소재지위도경도전화번호정원(명)
연번1.0001.0000.0001.0000.4270.7691.0000.557
시설명1.0001.0001.0001.0001.0001.0001.0001.000
면적(제곱미터)0.0001.0001.0001.0000.0000.6931.0000.737
소재지1.0001.0001.0001.0001.0001.0001.0001.000
위도0.4271.0000.0001.0001.0000.7701.0000.576
경도0.7691.0000.6931.0000.7701.0001.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
정원(명)0.5571.0000.7371.0000.5760.0001.0001.000
2023-12-12T18:38:48.912340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)위도경도정원(명)
연번1.0000.0940.150-0.078-0.135
면적(제곱미터)0.0941.0000.1770.2570.698
위도0.1500.1771.0000.2760.217
경도-0.0780.2570.2761.0000.207
정원(명)-0.1350.6980.2170.2071.000

Missing values

2023-12-12T18:38:44.710678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:38:44.892674image/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

연번시설명면적(제곱미터)소재지위도경도전화번호정원(명)데이터 기준일자
01관악청소년 지역아동센터129.0서울특별시 관악구 난곡로63길 65, 3층37.48041126.91109502-859-6357352023-06-01
12광동지역아동센터186.2서울특별시 관악구 행운2길 31, 2층37.479215126.96080402-875-8555292023-06-01
23꿈나무공부방125.29서울특별시 관악구 난향12길 2637.463691126.91642302-868-3117372023-06-01
34꿈둥지 지역아동센터132.0서울특별시 관악구 쑥고개로 71, 2층37.479624126.9443702-888-9045372023-06-01
45꿈마을지역아동센터121.08서울특별시 관악구 양녕로 42, 2층37.485789126.94708702-871-4905362023-06-01
56난향지역아동센터100.25서울특별시 관악구 난향7길 2, 3층37.462466126.91593070-7721-9414252023-06-01
67드림한누리지역아동센터78.0서울특별시 관악구 구암길 106, 관악드림타운삼성아파트경로당 3층37.491279126.94866502-888-1598192023-06-01
78물댄동산난곡 지역아동센터216.99서울특별시 관악구 난곡로 263, 3층37.477526126.91514302-858-2486352023-06-01
89민들레샘물 지역아동센터84.0서울특별시 관악구 대학20길 27, 현대아파트 103동 103호37.464305126.937372070-8751-3275192023-06-01
910민영지역아동센터216.24서울특별시 관악구 난우10길 7, 3층37.476252126.91815702-830-7355402023-06-01
연번시설명면적(제곱미터)소재지위도경도전화번호정원(명)데이터 기준일자
1617양지지역아동센터126.0서울특별시 관악구 남부순환로 1695, 2층37.483917126.93888902-877-6130352023-06-01
1718열린지역아동센터206.82서울특별시 관악구 양녕로 31, 두산아파트3단지 관리동 3층37.485152126.94577902-3285-3580352023-06-01
1819우리들의공부방144.0서울특별시 관악구 남부순환로 1535, 2층37.483337126.92108402-884-8093402023-06-01
1920은천지역아동센터251.3서울특별시 관악구 관천로 119, 2층37.488367126.92099902-839-1405492023-06-01
2021조원지역아동센터74.9서울특별시 관악구 조원중앙로2길 7137.481541126.90873202-838-9031192023-06-01
2122참좋은 지역아동센터122.38서울특별시 관악구 난우길 41, 2층37.476179126.91717802-857-7355342023-06-01
2223청솔지역아동센터105.76서울특별시 관악구 남부순환로161가길 71, 2층37.484408126.91484502-857-5599192023-06-01
2324하늘지역아동센터155.2서울특별시 관악구 신림로 171, 201호37.474403126.93407302-875-1114292023-06-01
2425해성 지역아동센터133.99서울특별시 관악구 관악로 287, 성현동아아파트상가동 306호37.489395126.95694702-872-8591352023-06-01
2526행복한지역아동센터184.0서울특별시 관악구 법원단지13길 2237.474987126.92076402-6397-8961292023-06-01