Overview

Dataset statistics

Number of variables12
Number of observations103
Missing cells104
Missing cells (%)8.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory102.3 B

Variable types

Categorical4
Text2
Unsupported1
Numeric4
Boolean1

Dataset

Description파일 다운로드
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-15013/S/1/datasetView.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
CCTV설치대수 is highly overall correlated with CCTV설치여부High correlation
관할경찰서명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
CCTV설치여부 is highly overall correlated with CCTV설치대수High correlation
CCTV설치여부 is highly imbalanced (92.1%)Imbalance
소재지지번주소 has 103 (100.0%) missing valuesMissing
대상시설명 has unique valuesUnique
위도 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 09:06:11.739367
Analysis finished2023-12-11 09:06:14.468907
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
어린이집
43 
초등학교
33 
유치원
24 
특수학교
 
3

Length

Max length4
Median length4
Mean length3.7669903
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 43
41.7%
초등학교 33
32.0%
유치원 24
23.3%
특수학교 3
 
2.9%

Length

2023-12-11T18:06:14.530772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:06:14.638009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 43
41.7%
초등학교 33
32.0%
유치원 24
23.3%
특수학교 3
 
2.9%

대상시설명
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-11T18:06:14.884306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.3883495
Min length4

Characters and Unicode

Total characters658
Distinct characters133
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)100.0%

Sample

1st row돌샘유치원
2nd row신양유치원
3rd row이화유치원
4th row영동제일유치원
5th row소망유치원
ValueCountFrequency (%)
돌샘유치원 1
 
1.0%
신사어린이집 1
 
1.0%
튼튼영재어린이집 1
 
1.0%
청수어린이집 1
 
1.0%
성아어린이집 1
 
1.0%
선재어린이집 1
 
1.0%
킹스키즈어린이집 1
 
1.0%
한티어린이집 1
 
1.0%
대치어린이집 1
 
1.0%
목련어린이집 1
 
1.0%
Other values (93) 93
90.3%
2023-12-11T18:06:15.338357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 46
 
7.0%
어 43
 
6.5%
린 43
 
6.5%
집 43
 
6.5%
학 40
 
6.1%
교 39
 
5.9%
초 38
 
5.8%
등 37
 
5.6%
원 28
 
4.3%
치 26
 
4.0%
Other values (123) 275
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 656
99.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 46
 
7.0%
어 43
 
6.6%
린 43
 
6.6%
집 43
 
6.6%
학 40
 
6.1%
교 39
 
5.9%
초 38
 
5.8%
등 37
 
5.6%
원 28
 
4.3%
치 26
 
4.0%
Other values (121) 273
41.6%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 656
99.7%
Common 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 46
 
7.0%
어 43
 
6.6%
린 43
 
6.6%
집 43
 
6.6%
학 40
 
6.1%
교 39
 
5.9%
초 38
 
5.8%
등 37
 
5.6%
원 28
 
4.3%
치 26
 
4.0%
Other values (121) 273
41.6%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 656
99.7%
ASCII 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 46
 
7.0%
어 43
 
6.6%
린 43
 
6.6%
집 43
 
6.6%
학 40
 
6.1%
교 39
 
5.9%
초 38
 
5.8%
등 37
 
5.6%
원 28
 
4.3%
치 26
 
4.0%
Other values (121) 273
41.6%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

소재지도로명주소
Text

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-11T18:06:15.695309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length19.446602
Min length16

Characters and Unicode

Total characters2003
Distinct characters75
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

Unique93 ?
Unique (%)90.3%

Sample

1st row서울특별시 강남구 개포로 516
2nd row서울특별시 강남구 선릉로 10길 18-6
3rd row서울특별시 강남구 개포로 109길 9
4th row서울특별시 강남구 삼성로120길 28
5th row서울특별시 강남구 광평로56길 11
ValueCountFrequency (%)
서울특별시 103
23.0%
강남구 103
23.0%
개포로 8
 
1.8%
선릉로 7
 
1.6%
9 6
 
1.3%
학동로 5
 
1.1%
16 5
 
1.1%
도곡로 5
 
1.1%
일원로 5
 
1.1%
27 4
 
0.9%
Other values (146) 196
43.8%
2023-12-11T18:06:16.227943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
17.2%
남 109
 
5.4%
구 109
 
5.4%
강 107
 
5.3%
서 103
 
5.1%
특 103
 
5.1%
별 103
 
5.1%
시 103
 
5.1%
울 103
 
5.1%
로 102
 
5.1%
Other values (65) 717
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1261
63.0%
Decimal Number 391
 
19.5%
Space Separator 344
 
17.2%
Dash Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 109
8.6%
구 109
8.6%
강 107
8.5%
서 103
8.2%
특 103
8.2%
별 103
8.2%
시 103
8.2%
울 103
8.2%
로 102
8.1%
길 77
 
6.1%
Other values (53) 242
19.2%
Decimal Number
ValueCountFrequency (%)
1 79
20.2%
2 58
14.8%
3 42
10.7%
6 40
10.2%
5 37
9.5%
4 33
8.4%
7 29
 
7.4%
8 25
 
6.4%
0 24
 
6.1%
9 24
 
6.1%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1261
63.0%
Common 742
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 109
8.6%
구 109
8.6%
강 107
8.5%
서 103
8.2%
특 103
8.2%
별 103
8.2%
시 103
8.2%
울 103
8.2%
로 102
8.1%
길 77
 
6.1%
Other values (53) 242
19.2%
Common
ValueCountFrequency (%)
344
46.4%
1 79
 
10.6%
2 58
 
7.8%
3 42
 
5.7%
6 40
 
5.4%
5 37
 
5.0%
4 33
 
4.4%
7 29
 
3.9%
8 25
 
3.4%
0 24
 
3.2%
Other values (2) 31
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1261
63.0%
ASCII 742
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
46.4%
1 79
 
10.6%
2 58
 
7.8%
3 42
 
5.7%
6 40
 
5.4%
5 37
 
5.0%
4 33
 
4.4%
7 29
 
3.9%
8 25
 
3.4%
0 24
 
3.2%
Other values (2) 31
 
4.2%
Hangul
ValueCountFrequency (%)
남 109
8.6%
구 109
8.6%
강 107
8.5%
서 103
8.2%
특 103
8.2%
별 103
8.2%
시 103
8.2%
울 103
8.2%
로 102
8.1%
길 77
 
6.1%
Other values (53) 242
19.2%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.49802
Minimum37.464727
Maximum37.531483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T18:06:16.403980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.464727
5-th percentile37.475406
Q137.486199
median37.494063
Q337.511841
95-th percentile37.525509
Maximum37.531483
Range0.066756
Interquartile range (IQR)0.0256415

Descriptive statistics

Standard deviation0.016411535
Coefficient of variation (CV)0.00043766404
Kurtosis-0.808229
Mean37.49802
Median Absolute Deviation (MAD)0.010293
Skewness0.29671982
Sum3862.2961
Variance0.00026933848
MonotonicityNot monotonic
2023-12-11T18:06:16.575200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.488755 1
 
1.0%
37.483379 1
 
1.0%
37.517783 1
 
1.0%
37.522646 1
 
1.0%
37.525358 1
 
1.0%
37.484246 1
 
1.0%
37.501612 1
 
1.0%
37.500019 1
 
1.0%
37.500194 1
 
1.0%
37.502105 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
37.464727 1
1.0%
37.46695 1
1.0%
37.468664 1
1.0%
37.470071 1
1.0%
37.473719 1
1.0%
37.475349 1
1.0%
37.475915 1
1.0%
37.476138 1
1.0%
37.477386 1
1.0%
37.478768 1
1.0%
ValueCountFrequency (%)
37.531483 1
1.0%
37.530019 1
1.0%
37.529523 1
1.0%
37.527513 1
1.0%
37.526271 1
1.0%
37.525526 1
1.0%
37.525358 1
1.0%
37.52405 1
1.0%
37.522817 1
1.0%
37.522646 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06103
Minimum127.0242
Maximum127.11161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T18:06:16.740197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0242
5-th percentile127.02912
Q1127.04491
median127.05617
Q3127.07751
95-th percentile127.10368
Maximum127.11161
Range0.087413
Interquartile range (IQR)0.0325965

Descriptive statistics

Standard deviation0.0225971
Coefficient of variation (CV)0.00017784446
Kurtosis-0.66181304
Mean127.06103
Median Absolute Deviation (MAD)0.01615
Skewness0.49911146
Sum13087.286
Variance0.00051062891
MonotonicityNot monotonic
2023-12-11T18:06:16.902270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.101206 2
 
1.9%
127.07138 1
 
1.0%
127.040066 1
 
1.0%
127.047502 1
 
1.0%
127.05764 1
 
1.0%
127.049166 1
 
1.0%
127.043647 1
 
1.0%
127.056468 1
 
1.0%
127.056173 1
 
1.0%
127.066938 1
 
1.0%
Other values (92) 92
89.3%
ValueCountFrequency (%)
127.024198 1
1.0%
127.025847 1
1.0%
127.026203 1
1.0%
127.026898 1
1.0%
127.028825 1
1.0%
127.028845 1
1.0%
127.031637 1
1.0%
127.032211 1
1.0%
127.03222 1
1.0%
127.033498 1
1.0%
ValueCountFrequency (%)
127.111611 1
1.0%
127.109603 1
1.0%
127.10634 1
1.0%
127.105105 1
1.0%
127.104503 1
1.0%
127.103959 1
1.0%
127.101206 2
1.9%
127.099704 1
1.0%
127.099108 1
1.0%
127.098669 1
1.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
서울특별시 강남구청
103 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 강남구청
2nd row서울특별시 강남구청
3rd row서울특별시 강남구청
4th row서울특별시 강남구청
5th row서울특별시 강남구청

Common Values

ValueCountFrequency (%)
서울특별시 강남구청 103
100.0%

Length

2023-12-11T18:06:17.068122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:06:17.164629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 103
50.0%
강남구청 103
50.0%

관할경찰서명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
수서경찰서
71 
강남경찰서
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수서경찰서
2nd row수서경찰서
3rd row수서경찰서
4th row강남경찰서
5th row수서경찰서

Common Values

ValueCountFrequency (%)
수서경찰서 71
68.9%
강남경찰서 32
31.1%

Length

2023-12-11T18:06:17.273346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:06:17.374768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수서경찰서 71
68.9%
강남경찰서 32
31.1%

CCTV설치여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size235.0 B
True
102 
False
 
1
ValueCountFrequency (%)
True 102
99.0%
False 1
 
1.0%
2023-12-11T18:06:17.460816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치대수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)7.8%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean2.2156863
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T18:06:17.559935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7213134
Coefficient of variation (CV)0.77687596
Kurtosis3.1496462
Mean2.2156863
Median Absolute Deviation (MAD)1
Skewness1.8679604
Sum226
Variance2.9629198
MonotonicityNot monotonic
2023-12-11T18:06:17.687944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 47
45.6%
2 28
27.2%
3 11
 
10.7%
4 5
 
4.9%
5 4
 
3.9%
8 3
 
2.9%
6 2
 
1.9%
7 2
 
1.9%
(Missing) 1
 
1.0%
ValueCountFrequency (%)
1 47
45.6%
2 28
27.2%
3 11
 
10.7%
4 5
 
4.9%
5 4
 
3.9%
6 2
 
1.9%
7 2
 
1.9%
8 3
 
2.9%
ValueCountFrequency (%)
8 3
 
2.9%
7 2
 
1.9%
6 2
 
1.9%
5 4
 
3.9%
4 5
 
4.9%
3 11
 
10.7%
2 28
27.2%
1 47
45.6%

보호구역도로폭
Real number (ℝ)

Distinct40
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.825243
Minimum4
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T18:06:17.832013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.5
Q16
median8
Q312
95-th percentile25
Maximum40
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.1329355
Coefficient of variation (CV)0.65891691
Kurtosis5.0321234
Mean10.825243
Median Absolute Deviation (MAD)2
Skewness2.1507509
Sum1115
Variance50.878768
MonotonicityNot monotonic
2023-12-11T18:06:17.967824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6.0 27
26.2%
8.0 12
 
11.7%
12.0 8
 
7.8%
5.5 4
 
3.9%
15.0 4
 
3.9%
20.0 3
 
2.9%
25.0 3
 
2.9%
10.0 2
 
1.9%
5.9 2
 
1.9%
11.5 2
 
1.9%
Other values (30) 36
35.0%
ValueCountFrequency (%)
4.0 1
 
1.0%
5.3 1
 
1.0%
5.4 1
 
1.0%
5.5 4
 
3.9%
5.7 1
 
1.0%
5.8 1
 
1.0%
5.9 2
 
1.9%
6.0 27
26.2%
6.1 1
 
1.0%
6.5 2
 
1.9%
ValueCountFrequency (%)
40.0 2
1.9%
30.0 2
1.9%
28.7 1
 
1.0%
25.0 3
2.9%
23.1 1
 
1.0%
20.0 3
2.9%
19.7 1
 
1.0%
15.2 1
 
1.0%
15.0 4
3.9%
14.7 1
 
1.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2019-01-14
103 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01-14
2nd row2019-01-14
3rd row2019-01-14
4th row2019-01-14
5th row2019-01-14

Common Values

ValueCountFrequency (%)
2019-01-14 103
100.0%

Length

2023-12-11T18:06:18.111128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:06:18.242079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-01-14 103
100.0%

Interactions

2023-12-11T18:06:13.757059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:12.254309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:12.818886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.280522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.892659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:12.383077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:12.946146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.396323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.990580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:12.526558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.043398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.499169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:14.101125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:12.683470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.169313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:06:13.614500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T18:06:18.334803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류소재지도로명주소위도경도관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭
시설종류1.0000.7240.0000.0000.0000.0000.6820.093
소재지도로명주소0.7241.0001.0000.9931.0001.0000.0000.931
위도0.0001.0001.0000.6840.9990.4410.0000.293
경도0.0000.9930.6841.0000.7380.3640.0000.457
관할경찰서명0.0001.0000.9990.7381.0000.0000.2340.390
CCTV설치여부0.0001.0000.4410.3640.0001.000NaN0.000
CCTV설치대수0.6820.0000.0000.0000.234NaN1.0000.000
보호구역도로폭0.0930.9310.2930.4570.3900.0000.0001.000
2023-12-11T18:06:18.461404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할경찰서명CCTV설치여부시설종류
관할경찰서명1.0000.0000.000
CCTV설치여부0.0001.0000.000
시설종류0.0000.0001.000
2023-12-11T18:06:18.554002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도CCTV설치대수보호구역도로폭시설종류관할경찰서명CCTV설치여부
위도1.000-0.6240.090-0.4420.0000.9400.324
경도-0.6241.000-0.0940.3810.0000.5550.266
CCTV설치대수0.090-0.0941.000-0.1050.3530.1681.000
보호구역도로폭-0.4420.381-0.1051.0000.0510.3610.000
시설종류0.0000.0000.3530.0511.0000.0000.000
관할경찰서명0.9400.5550.1680.3610.0001.0000.000
CCTV설치여부0.3240.2661.0000.0000.0000.0001.000

Missing values

2023-12-11T18:06:14.242139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T18:06:14.405463image/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

시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
0유치원돌샘유치원서울특별시 강남구 개포로 516<NA>37.488755127.07138서울특별시 강남구청수서경찰서Y112.62019-01-14
1유치원신양유치원서울특별시 강남구 선릉로 10길 18-6<NA>37.483379127.061678서울특별시 강남구청수서경찰서Y26.02019-01-14
2유치원이화유치원서울특별시 강남구 개포로 109길 9<NA>37.493863127.075141서울특별시 강남구청수서경찰서Y215.02019-01-14
3유치원영동제일유치원서울특별시 강남구 삼성로120길 28<NA>37.517579127.053437서울특별시 강남구청강남경찰서Y25.82019-01-14
4유치원소망유치원서울특별시 강남구 광평로56길 11<NA>37.487185127.105105서울특별시 강남구청수서경찰서Y111.02019-01-14
5유치원청운유치원서울특별시 강남구 언주로65길 5<NA>37.494835127.045617서울특별시 강남구청수서경찰서Y111.52019-01-14
6유치원묘동유치원서울특별시 강남구 도곡로 78길 8<NA>37.497479127.058863서울특별시 강남구청수서경찰서Y55.52019-01-14
7유치원푸른유치원서울특별시 강남구 일원로14길 25<NA>37.484225127.080037서울특별시 강남구청수서경찰서Y115.22019-01-14
8유치원성요셉유치원서울특별시 강남구 도산대로 83길 27<NA>37.526271127.048405서울특별시 강남구청강남경찰서Y25.92019-01-14
9유치원강남유치원서울특별시 강남구 선릉로 129길 31<NA>37.515588127.038891서울특별시 강남구청강남경찰서Y28.62019-01-14
시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
93어린이집강남어린이집서울특별시 강남구 개포로 109길 9<NA>37.494153127.075184서울특별시 강남구청수서경찰서Y120.02019-01-14
94어린이집방죽어린이집서울특별시 강남구 밤고개로24길 75<NA>37.470071127.104503서울특별시 강남구청수서경찰서Y18.02019-01-14
95어린이집푸른어린이집서울특별시 강남구 밤고개로 20길 84<NA>37.473719127.099704서울특별시 강남구청수서경찰서Y28.02019-01-14
96어린이집바롬어린이집서울특별시 강남구 언주로164길 36<NA>37.525526127.036309서울특별시 강남구청강남경찰서Y16.02019-01-14
97어린이집역삼가애어린이집서울특별시 강남구 도곡로 37길 15<NA>37.495021127.044725서울특별시 강남구청수서경찰서Y212.02019-01-14
98어린이집아이뜰어린이집서울특별시 강남구 개포로22길 39-11<NA>37.477386127.050042서울특별시 강남구청수서경찰서Y18.02019-01-14
99어린이집해맑은어린이집서울특별시 강남구 개포로36길 14<NA>37.478768127.051249서울특별시 강남구청수서경찰서Y16.02019-01-14
100어린이집대청어린이집서울특별시 강남구 양재대로 37길 19<NA>37.491006127.083513서울특별시 강남구청수서경찰서Y16.02019-01-14
101어린이집충현어린이집서울특별시 강남구 테헤란로27길 40<NA>37.505222127.037484서울특별시 강남구청수서경찰서Y212.02019-01-14
102어린이집세곡햇빛어린이집서울특별시 강남구 자곡로 260<NA>37.476138127.111611서울특별시 강남구청수서경찰서N<NA>8.02019-01-14