Overview

Dataset statistics

Number of variables12
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory102.9 B

Variable types

Categorical5
Text2
Numeric4
DateTime1

Dataset

Description서울특별시 광진구 이재민임시거주시설에 대한 데이터로, 이재민임시주거시설에 대한 시설구분, 시설명, 주소, 수용면적, 수용인원 등에 대한 정보를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15036334/fileData.do

Alerts

시 has constant value ""Constant
구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
수용가능면적(제곱미터) is highly overall correlated with 수용가능인원(명)High correlation
수용가능인원(명) is highly overall correlated with 수용가능면적(제곱미터)High correlation
시설구분 is highly overall correlated with 세부시설명 and 1 other fieldsHigh correlation
세부시설명 is highly overall correlated with 시설구분High correlation
비고 is highly overall correlated with 시설구분High correlation
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:35:53.516991
Analysis finished2023-12-12 15:35:56.043113
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
서울시
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울시 46
100.0%

Length

2023-12-13T00:35:56.103417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:35:56.191808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울시 46
100.0%

구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
광진구
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 46
100.0%

Length

2023-12-13T00:35:56.286630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:35:56.411889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 46
100.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
학교
21 
관공서
14 
경로당
8 
기타시설
3 

Length

Max length4
Median length3
Mean length2.6086957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학교
2nd row학교
3rd row관공서
4th row관공서
5th row관공서

Common Values

ValueCountFrequency (%)
학교 21
45.7%
관공서 14
30.4%
경로당 8
 
17.4%
기타시설 3
 
6.5%

Length

2023-12-13T00:35:56.539562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:35:56.680896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 21
45.7%
관공서 14
30.4%
경로당 8
 
17.4%
기타시설 3
 
6.5%

시설명
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T00:35:56.909580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.1521739
Min length4

Characters and Unicode

Total characters329
Distinct characters52
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

Unique44 ?
Unique (%)95.7%

Sample

1st row구의중학교
2nd row구의초등학교
3rd row군자동 주민센터
4th row중곡제1동주민센터
5th row중곡제2동주민센터
ValueCountFrequency (%)
서울양진초등학교 2
 
4.0%
능동 2
 
4.0%
주민센터 2
 
4.0%
경로당 2
 
4.0%
구의1-2경로당 1
 
2.0%
구의제1동주민센터 1
 
2.0%
신양경로당 1
 
2.0%
서울동자초등학교 1
 
2.0%
자양고등학교 1
 
2.0%
자양중학교 1
 
2.0%
Other values (36) 36
72.0%
2023-12-13T00:35:57.321110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 21
 
6.4%
교 21
 
6.4%
터 16
 
4.9%
센 16
 
4.9%
양 16
 
4.9%
동 16
 
4.9%
민 15
 
4.6%
등 14
 
4.3%
주 14
 
4.3%
중 12
 
3.6%
Other values (42) 168
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
93.0%
Decimal Number 16
 
4.9%
Space Separator 4
 
1.2%
Dash Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 21
 
6.9%
교 21
 
6.9%
터 16
 
5.2%
센 16
 
5.2%
양 16
 
5.2%
동 16
 
5.2%
민 15
 
4.9%
등 14
 
4.6%
주 14
 
4.6%
중 12
 
3.9%
Other values (36) 145
47.4%
Decimal Number
ValueCountFrequency (%)
2 5
31.2%
1 4
25.0%
4 4
25.0%
3 3
18.8%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
93.0%
Common 23
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 21
 
6.9%
교 21
 
6.9%
터 16
 
5.2%
센 16
 
5.2%
양 16
 
5.2%
동 16
 
5.2%
민 15
 
4.9%
등 14
 
4.6%
주 14
 
4.6%
중 12
 
3.9%
Other values (36) 145
47.4%
Common
ValueCountFrequency (%)
2 5
21.7%
1 4
17.4%
4
17.4%
4 4
17.4%
3 3
13.0%
- 3
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
93.0%
ASCII 23
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 21
 
6.9%
교 21
 
6.9%
터 16
 
5.2%
센 16
 
5.2%
양 16
 
5.2%
동 16
 
5.2%
민 15
 
4.9%
등 14
 
4.6%
주 14
 
4.6%
중 12
 
3.9%
Other values (36) 145
47.4%
ASCII
ValueCountFrequency (%)
2 5
21.7%
1 4
17.4%
4
17.4%
4 4
17.4%
3 3
13.0%
- 3
13.0%

세부시설명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
대강당
14 
체육관
10 
경로당
8 
본관동
4 
본관
2 
Other values (8)
8 

Length

Max length10
Median length3
Mean length3.5217391
Min length2

Unique

Unique8 ?
Unique (%)17.4%

Sample

1st row본관동
2nd row강당 겸 체육관동
3rd row대강당
4th row대강당
5th row대강당

Common Values

ValueCountFrequency (%)
대강당 14
30.4%
체육관 10
21.7%
경로당 8
17.4%
본관동 4
 
8.7%
본관 2
 
4.3%
강당 겸 체육관동 1
 
2.2%
강당 1
 
2.2%
체육관 및 특별교실 1
 
2.2%
교사(본관동) 1
 
2.2%
병설유치원 본관동 1
 
2.2%
Other values (3) 3
 
6.5%

Length

2023-12-13T00:35:57.482181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대강당 14
27.5%
체육관 11
21.6%
경로당 8
15.7%
본관동 5
 
9.8%
본관 2
 
3.9%
강당 2
 
3.9%
겸 1
 
2.0%
체육관동 1
 
2.0%
및 1
 
2.0%
특별교실 1
 
2.0%
Other values (5) 5
 
9.8%

상세주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T00:35:57.796279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length24
Min length20

Characters and Unicode

Total characters1104
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row서울특별시 광진구 광나루로30길 80(화양동)
2nd row서울특별시 광진구 광나루로30길 49(화양동)
3rd row서울특별시 광진구 군자로 151(군자동)
4th row서울특별시 광진구 긴고랑로12길 49(중곡동)
5th row서울특별시 광진구 능동로 346(중곡동)
ValueCountFrequency (%)
서울특별시 46
24.9%
광진구 46
24.9%
워커힐로 4
 
2.2%
아차산로70길 3
 
1.6%
능동로 2
 
1.1%
뚝섬로 2
 
1.1%
광장동 2
 
1.1%
광나루로30길 2
 
1.1%
천호대로112길 2
 
1.1%
32(광장동 2
 
1.1%
Other values (74) 74
40.0%
2023-12-13T00:35:58.325589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
12.6%
광 61
 
5.5%
구 55
 
5.0%
동 50
 
4.5%
서 46
 
4.2%
( 46
 
4.2%
특 46
 
4.2%
별 46
 
4.2%
시 46
 
4.2%
진 46
 
4.2%
Other values (48) 523
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 702
63.6%
Decimal Number 166
 
15.0%
Space Separator 139
 
12.6%
Open Punctuation 46
 
4.2%
Close Punctuation 46
 
4.2%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 61
 
8.7%
구 55
 
7.8%
동 50
 
7.1%
서 46
 
6.6%
특 46
 
6.6%
별 46
 
6.6%
시 46
 
6.6%
진 46
 
6.6%
울 46
 
6.6%
로 45
 
6.4%
Other values (34) 215
30.6%
Decimal Number
ValueCountFrequency (%)
3 28
16.9%
1 24
14.5%
2 20
12.0%
7 20
12.0%
4 18
10.8%
6 17
10.2%
5 13
7.8%
8 10
 
6.0%
0 10
 
6.0%
9 6
 
3.6%
Space Separator
ValueCountFrequency (%)
139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 702
63.6%
Common 402
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 61
 
8.7%
구 55
 
7.8%
동 50
 
7.1%
서 46
 
6.6%
특 46
 
6.6%
별 46
 
6.6%
시 46
 
6.6%
진 46
 
6.6%
울 46
 
6.6%
로 45
 
6.4%
Other values (34) 215
30.6%
Common
ValueCountFrequency (%)
139
34.6%
( 46
 
11.4%
) 46
 
11.4%
3 28
 
7.0%
1 24
 
6.0%
2 20
 
5.0%
7 20
 
5.0%
4 18
 
4.5%
6 17
 
4.2%
5 13
 
3.2%
Other values (4) 31
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 702
63.6%
ASCII 402
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
34.6%
( 46
 
11.4%
) 46
 
11.4%
3 28
 
7.0%
1 24
 
6.0%
2 20
 
5.0%
7 20
 
5.0%
4 18
 
4.5%
6 17
 
4.2%
5 13
 
3.2%
Other values (4) 31
 
7.7%
Hangul
ValueCountFrequency (%)
광 61
 
8.7%
구 55
 
7.8%
동 50
 
7.1%
서 46
 
6.6%
특 46
 
6.6%
별 46
 
6.6%
시 46
 
6.6%
진 46
 
6.6%
울 46
 
6.6%
로 45
 
6.4%
Other values (34) 215
30.6%

수용가능면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1227.587
Minimum135
Maximum11848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T00:35:58.470825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135
5-th percentile147.75
Q1200.5
median345.5
Q3966
95-th percentile6015.75
Maximum11848
Range11713
Interquartile range (IQR)765.5

Descriptive statistics

Standard deviation2293.1988
Coefficient of variation (CV)1.8680541
Kurtosis12.194791
Mean1227.587
Median Absolute Deviation (MAD)195
Skewness3.4107508
Sum56469
Variance5258761
MonotonicityNot monotonic
2023-12-13T00:35:58.625531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
231 2
 
4.3%
170 2
 
4.3%
255 2
 
4.3%
7069 1
 
2.2%
361 1
 
2.2%
229 1
 
2.2%
8533 1
 
2.2%
975 1
 
2.2%
1140 1
 
2.2%
429 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
135 1
2.2%
140 1
2.2%
145 1
2.2%
156 1
2.2%
158 1
2.2%
161 1
2.2%
170 2
4.3%
173 1
2.2%
177 1
2.2%
188 1
2.2%
ValueCountFrequency (%)
11848 1
2.2%
8533 1
2.2%
7069 1
2.2%
2856 1
2.2%
2637 1
2.2%
2490 1
2.2%
2251 1
2.2%
2061 1
2.2%
1630 1
2.2%
1142 1
2.2%

수용가능인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371.97826
Minimum40
Maximum3590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T00:35:58.791886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile44.75
Q160.75
median104.5
Q3292.25
95-th percentile1822.75
Maximum3590
Range3550
Interquartile range (IQR)231.5

Descriptive statistics

Standard deviation694.7921
Coefficient of variation (CV)1.8678299
Kurtosis12.197245
Mean371.97826
Median Absolute Deviation (MAD)59
Skewness3.4110166
Sum17111
Variance482736.07
MonotonicityNot monotonic
2023-12-13T00:35:58.942763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
48 2
 
4.3%
52 2
 
4.3%
70 2
 
4.3%
82 2
 
4.3%
77 2
 
4.3%
755 1
 
2.2%
2585 1
 
2.2%
295 1
 
2.2%
345 1
 
2.2%
143 1
 
2.2%
Other values (31) 31
67.4%
ValueCountFrequency (%)
40 1
2.2%
42 1
2.2%
44 1
2.2%
47 1
2.2%
48 2
4.3%
51 1
2.2%
52 2
4.3%
53 1
2.2%
57 1
2.2%
60 1
2.2%
ValueCountFrequency (%)
3590 1
2.2%
2585 1
2.2%
2142 1
2.2%
865 1
2.2%
799 1
2.2%
755 1
2.2%
682 1
2.2%
624 1
2.2%
493 1
2.2%
346 1
2.2%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
지진겸용
23 
풍수해
19 
내진설계
4 

Length

Max length4
Median length4
Mean length3.5869565
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지진겸용
2nd row지진겸용
3rd row풍수해
4th row지진겸용
5th row풍수해

Common Values

ValueCountFrequency (%)
지진겸용 23
50.0%
풍수해 19
41.3%
내진설계 4
 
8.7%

Length

2023-12-13T00:35:59.097554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:35:59.230771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지진겸용 23
50.0%
풍수해 19
41.3%
내진설계 4
 
8.7%

위도
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.54415
Minimum37.528806
Maximum37.568831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T00:35:59.401563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.528806
5-th percentile37.530181
Q137.534909
median37.54288
Q337.550251
95-th percentile37.5653
Maximum37.568831
Range0.04002501
Interquartile range (IQR)0.015341102

Descriptive statistics

Standard deviation0.010956334
Coefficient of variation (CV)0.00029182533
Kurtosis-0.43829826
Mean37.54415
Median Absolute Deviation (MAD)0.007981285
Skewness0.63267304
Sum1727.0309
Variance0.00012004126
MonotonicityNot monotonic
2023-12-13T00:35:59.649677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
37.54275378 1
 
2.2%
37.54706322 1
 
2.2%
37.53483224 1
 
2.2%
37.53467457 1
 
2.2%
37.53606202 1
 
2.2%
37.53558614 1
 
2.2%
37.53514091 1
 
2.2%
37.53408795 1
 
2.2%
37.5334488 1
 
2.2%
37.54398118 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
37.528806 1
2.2%
37.52934884 1
2.2%
37.53016236 1
2.2%
37.53023763 1
2.2%
37.53038938 1
2.2%
37.53226319 1
2.2%
37.5334488 1
2.2%
37.533845 1
2.2%
37.53408795 1
2.2%
37.53448369 1
2.2%
ValueCountFrequency (%)
37.56883101 1
2.2%
37.56777461 1
2.2%
37.56683571 1
2.2%
37.56069455 1
2.2%
37.56021946 1
2.2%
37.559207 1
2.2%
37.55912432 1
2.2%
37.5576478 1
2.2%
37.55510957 1
2.2%
37.5537522 1
2.2%

경도
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08492
Minimum127.06332
Maximum127.1065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T00:35:59.820548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.06332
5-th percentile127.0674
Q1127.07719
median127.08406
Q3127.09191
95-th percentile127.10177
Maximum127.1065
Range0.0431831
Interquartile range (IQR)0.0147266

Descriptive statistics

Standard deviation0.010983978
Coefficient of variation (CV)8.6430219 × 10-5
Kurtosis-0.73399
Mean127.08492
Median Absolute Deviation (MAD)0.0077596
Skewness0.10974905
Sum5845.9064
Variance0.00012064777
MonotonicityNot monotonic
2023-12-13T00:35:59.975039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
127.0792572 1
 
2.2%
127.0891301 1
 
2.2%
127.0705851 1
 
2.2%
127.073088 1
 
2.2%
127.0730808 1
 
2.2%
127.0744605 1
 
2.2%
127.0653068 1
 
2.2%
127.0663408 1
 
2.2%
127.0633209 1
 
2.2%
127.083427 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
127.0633209 1
2.2%
127.0653068 1
2.2%
127.0663408 1
2.2%
127.0705851 1
2.2%
127.071359 1
2.2%
127.072916 1
2.2%
127.0730808 1
2.2%
127.073088 1
2.2%
127.0744605 1
2.2%
127.0755294 1
2.2%
ValueCountFrequency (%)
127.106504 1
2.2%
127.10301 1
2.2%
127.1017957 1
2.2%
127.1016985 1
2.2%
127.1016914 1
2.2%
127.1008055 1
2.2%
127.0983974 1
2.2%
127.0983715 1
2.2%
127.0983428 1
2.2%
127.0975989 1
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2023-01-27 00:00:00
Maximum2023-01-27 00:00:00
2023-12-13T00:36:00.125141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:36:00.249205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:35:55.324177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.011244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.432036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.863933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:55.417137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.104410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.542878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.996101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:55.515620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.206555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.648467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:55.098257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:55.632150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.330340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:54.771203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:55.215939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:36:00.376922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명세부시설명상세주소수용가능면적(제곱미터)수용가능인원(명)비고위도경도
시설구분1.0001.0000.9521.0000.0980.1400.6660.4640.569
시설명1.0001.0000.0001.0001.0001.0001.0001.0001.000
세부시설명0.9520.0001.0000.0000.6520.6620.6880.3830.000
상세주소1.0001.0000.0001.0001.0001.0001.0001.0001.000
수용가능면적(제곱미터)0.0981.0000.6521.0001.0001.0000.0000.1540.376
수용가능인원(명)0.1401.0000.6621.0001.0001.0000.0000.0000.398
비고0.6661.0000.6881.0000.0000.0001.0000.0780.542
위도0.4641.0000.3831.0000.1540.0000.0781.0000.729
경도0.5691.0000.0001.0000.3760.3980.5420.7291.000
2023-12-13T00:36:00.550597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분세부시설명비고
시설구분1.0000.7900.685
세부시설명0.7901.0000.445
비고0.6850.4451.000
2023-12-13T00:36:00.985497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용가능면적(제곱미터)수용가능인원(명)위도경도시설구분세부시설명비고
수용가능면적(제곱미터)1.0001.000-0.1800.0970.0720.3590.000
수용가능인원(명)1.0001.000-0.1780.0970.0720.3590.000
위도-0.180-0.1781.0000.2940.2890.1430.000
경도0.0970.0970.2941.0000.3440.0000.348
시설구분0.0720.0720.2890.3441.0000.7900.685
세부시설명0.3590.3590.1430.0000.7901.0000.445
비고0.0000.0000.0000.3480.6850.4451.000

Missing values

2023-12-13T00:35:55.786519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:35:55.983350image/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

시구시설구분시설명세부시설명상세주소수용가능면적(제곱미터)수용가능인원(명)비고위도경도데이터기준일자
0서울시광진구학교구의중학교본관동서울특별시 광진구 광나루로30길 80(화양동)70692142지진겸용37.542754127.0792572023-01-27
1서울시광진구학교구의초등학교강당 겸 체육관동서울특별시 광진구 광나루로30길 49(화양동)1630493지진겸용37.543007127.0795472023-01-27
2서울시광진구관공서군자동 주민센터대강당서울특별시 광진구 군자로 151(군자동)24273풍수해37.55511127.0755292023-01-27
3서울시광진구관공서중곡제1동주민센터대강당서울특별시 광진구 긴고랑로12길 49(중곡동)14544지진겸용37.560695127.0801442023-01-27
4서울시광진구관공서중곡제2동주민센터대강당서울특별시 광진구 능동로 346(중곡동)17052풍수해37.560219127.0814582023-01-27
5서울시광진구관공서중곡제3동주민센터강당서울특별시 광진구 동일로76가길 28(중곡동)17352풍수해37.568831127.0800232023-01-27
6서울시광진구기타시설중곡문화체육센터본관서울특별시 광진구 능동로 433(중곡동)665202풍수해37.567775127.084632023-01-27
7서울시광진구경로당대원경로당경로당서울특별시 광진구 긴고랑로36길 57-27 (중곡동)27282풍수해37.557648127.0916062023-01-27
8서울시광진구관공서중곡제4동주민센터대강당서울특별시 광진구 긴고랑로 131(중곡동)19860풍수해37.559124127.0895052023-01-27
9서울시광진구학교용곡초등학교체육관서울특별시 광진구 용마산로22길 82(중곡동)2637799지진겸용37.566836127.0885372023-01-27
시구시설구분시설명세부시설명상세주소수용가능면적(제곱미터)수용가능인원(명)비고위도경도데이터기준일자
36서울시광진구기타시설정립회관본관서울특별시 광진구 워커힐로 93(구의동)2490755풍수해37.550795127.0975992023-01-27
37서울시광진구학교서울광진초등학교본관동서울특별시 광진구 자양로40길 41(구의동)118483590지진겸용37.547561127.0914332023-01-27
38서울시광진구관공서구의제3동주민센터대강당서울특별시 광진구 강변역로 17(구의동)15848풍수해37.53802127.0920152023-01-27
39서울시광진구학교서울구남초등학교체육관서울특별시 광진구 구의강변로 69(구의동)405122지진겸용37.537173127.0921062023-01-27
40서울시광진구경로당한마음 경로당경로당서울특별시 광진구 긴고랑로22길 39-4(중곡동)16148풍수해37.559207127.0837522023-01-27
41서울시광진구경로당능동 경로당경로당서울특별시 광진구 천호대로112길 70(능동)18857풍수해37.553201127.0800512023-01-27
42서울시광진구관공서광장동주민센터대강당서울특별시 광진구 광장로52(광장동)17753내진설계37.546837127.103012023-01-27
43서울시광진구관공서자양제2동주민센터대강당서울특별시 광진구 자양로36가길28(자양동)17051내진설계37.528806127.0843772023-01-27
44서울시광진구관공서자양제3동주민센터대강당서울특별시 광진구 뚝섬로568(자양동)14042내진설계37.533845127.0729162023-01-27
45서울시광진구관공서화양동주민센터대강당서울특별시 광진구 능동로17길 39(화양동)13540내진설계37.546458127.0713592023-01-27