Overview

Dataset statistics

Number of variables12
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory101.2 B

Variable types

Categorical3
Text3
Numeric3
Boolean1
Unsupported1
DateTime1

Dataset

Description파일 다운로드
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-13279/F/1/datasetView.do

Alerts

관리기관명 has constant value ""Constant
관할경찰서명 has constant value ""Constant
CCTV설치여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
대상시설명 has unique valuesUnique
보호구역도로폭 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 04:13:28.944400
Analysis finished2023-12-11 04:13:30.994626
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
초등학교
21 
유치원
21 
어린이집
16 
특수학교
 
1

Length

Max length4
Median length4
Mean length3.6440678
Min length3

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 21
35.6%
유치원 21
35.6%
어린이집 16
27.1%
특수학교 1
 
1.7%

Length

2023-12-11T13:13:31.427451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:13:31.587286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 21
35.6%
유치원 21
35.6%
어린이집 16
27.1%
특수학교 1
 
1.7%

대상시설명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T13:13:31.921424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.1525424
Min length5

Characters and Unicode

Total characters363
Distinct characters86
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

Unique59 ?
Unique (%)100.0%

Sample

1st row신상도초등학교
2nd row강남초등학교
3rd row남사초등학교
4th row남성초등학교
5th row노량진초등학교
ValueCountFrequency (%)
병설유치원 2
 
3.3%
은로초등학교 2
 
3.3%
신상도초등학교 1
 
1.6%
연꽃어린이집 1
 
1.6%
중대부속유치원 1
 
1.6%
강남유치원 1
 
1.6%
상도유치원 1
 
1.6%
성모유치원 1
 
1.6%
행복유치원 1
 
1.6%
신남성초교 1
 
1.6%
Other values (49) 49
80.3%
2023-12-11T13:13:32.394092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 24
 
6.6%
초 23
 
6.3%
학 23
 
6.3%
등 22
 
6.1%
치 21
 
5.8%
유 21
 
5.8%
원 21
 
5.8%
어 16
 
4.4%
린 16
 
4.4%
이 16
 
4.4%
Other values (76) 160
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
99.4%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 24
 
6.6%
초 23
 
6.4%
학 23
 
6.4%
등 22
 
6.1%
치 21
 
5.8%
유 21
 
5.8%
원 21
 
5.8%
어 16
 
4.4%
린 16
 
4.4%
이 16
 
4.4%
Other values (75) 158
43.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
99.4%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 24
 
6.6%
초 23
 
6.4%
학 23
 
6.4%
등 22
 
6.1%
치 21
 
5.8%
유 21
 
5.8%
원 21
 
5.8%
어 16
 
4.4%
린 16
 
4.4%
이 16
 
4.4%
Other values (75) 158
43.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 24
 
6.6%
초 23
 
6.4%
학 23
 
6.4%
등 22
 
6.1%
치 21
 
5.8%
유 21
 
5.8%
원 21
 
5.8%
어 16
 
4.4%
린 16
 
4.4%
이 16
 
4.4%
Other values (75) 158
43.8%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지도로명주소
Text

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T13:13:32.716855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.101695
Min length16

Characters and Unicode

Total characters1127
Distinct characters64
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

Unique53 ?
Unique (%)89.8%

Sample

1st row서울특별시 동작구 장승배기로 14
2nd row서울특별시 동작구 강남초등길 15
3rd row서울특별시 동작구 동작대로13길 22
4th row서울특별시 동작구 사당로23길 57-14
5th row서울특별시 동작구 장승배기로 160
ValueCountFrequency (%)
서울특별시 59
25.1%
동작구 59
25.1%
15 4
 
1.7%
27 3
 
1.3%
28 3
 
1.3%
서달로 3
 
1.3%
115 2
 
0.9%
장승배기로 2
 
0.9%
3 2
 
0.9%
16 2
 
0.9%
Other values (86) 96
40.9%
2023-12-11T13:13:33.222769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
15.6%
동 65
 
5.8%
작 64
 
5.7%
서 62
 
5.5%
시 60
 
5.3%
특 59
 
5.2%
별 59
 
5.2%
구 59
 
5.2%
울 59
 
5.2%
로 54
 
4.8%
Other values (54) 410
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 732
65.0%
Decimal Number 210
 
18.6%
Space Separator 176
 
15.6%
Dash Punctuation 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 65
8.9%
작 64
8.7%
서 62
8.5%
시 60
8.2%
특 59
8.1%
별 59
8.1%
구 59
8.1%
울 59
8.1%
로 54
 
7.4%
길 44
 
6.0%
Other values (42) 147
20.1%
Decimal Number
ValueCountFrequency (%)
1 48
22.9%
2 34
16.2%
3 25
11.9%
4 25
11.9%
6 22
10.5%
5 16
 
7.6%
7 13
 
6.2%
0 11
 
5.2%
8 9
 
4.3%
9 7
 
3.3%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
65.0%
Common 395
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 65
8.9%
작 64
8.7%
서 62
8.5%
시 60
8.2%
특 59
8.1%
별 59
8.1%
구 59
8.1%
울 59
8.1%
로 54
 
7.4%
길 44
 
6.0%
Other values (42) 147
20.1%
Common
ValueCountFrequency (%)
176
44.6%
1 48
 
12.2%
2 34
 
8.6%
3 25
 
6.3%
4 25
 
6.3%
6 22
 
5.6%
5 16
 
4.1%
7 13
 
3.3%
0 11
 
2.8%
- 9
 
2.3%
Other values (2) 16
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
65.0%
ASCII 395
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
44.6%
1 48
 
12.2%
2 34
 
8.6%
3 25
 
6.3%
4 25
 
6.3%
6 22
 
5.6%
5 16
 
4.1%
7 13
 
3.3%
0 11
 
2.8%
- 9
 
2.3%
Other values (2) 16
 
4.1%
Hangul
ValueCountFrequency (%)
동 65
8.9%
작 64
8.7%
서 62
8.5%
시 60
8.2%
특 59
8.1%
별 59
8.1%
구 59
8.1%
울 59
8.1%
로 54
 
7.4%
길 44
 
6.0%
Other values (42) 147
20.1%

소재지지번주소
Text

Distinct52
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T13:13:33.521561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length19.644068
Min length16

Characters and Unicode

Total characters1159
Distinct characters34
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

Unique45 ?
Unique (%)76.3%

Sample

1st row서울특별시 동작구 상도2동 산65
2nd row서울특별시 동작구 상도1동501
3rd row서울특별시 동작구 사당1동 1011-1
4th row서울특별시 동작구 사당3동 산24
5th row서울특별시 동작구 노량진1동 238
ValueCountFrequency (%)
서울특별시 59
25.1%
동작구 59
25.1%
대방동 7
 
3.0%
상도4동 6
 
2.6%
상도동 5
 
2.1%
사당5동 4
 
1.7%
사당1동 4
 
1.7%
신대방1동 4
 
1.7%
흑석1동 4
 
1.7%
상도1동 3
 
1.3%
Other values (62) 80
34.0%
2023-12-11T13:13:33.950399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
15.2%
동 120
 
10.4%
1 77
 
6.6%
작 61
 
5.3%
서 59
 
5.1%
특 59
 
5.1%
별 59
 
5.1%
시 59
 
5.1%
구 59
 
5.1%
울 59
 
5.1%
Other values (24) 371
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 662
57.1%
Decimal Number 278
24.0%
Space Separator 176
 
15.2%
Dash Punctuation 43
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 120
18.1%
작 61
9.2%
서 59
8.9%
특 59
8.9%
별 59
8.9%
시 59
8.9%
구 59
8.9%
울 59
8.9%
도 20
 
3.0%
상 20
 
3.0%
Other values (12) 87
13.1%
Decimal Number
ValueCountFrequency (%)
1 77
27.7%
2 41
14.7%
3 34
12.2%
4 34
12.2%
5 23
 
8.3%
0 21
 
7.6%
6 18
 
6.5%
8 13
 
4.7%
7 12
 
4.3%
9 5
 
1.8%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 662
57.1%
Common 497
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 120
18.1%
작 61
9.2%
서 59
8.9%
특 59
8.9%
별 59
8.9%
시 59
8.9%
구 59
8.9%
울 59
8.9%
도 20
 
3.0%
상 20
 
3.0%
Other values (12) 87
13.1%
Common
ValueCountFrequency (%)
176
35.4%
1 77
15.5%
- 43
 
8.7%
2 41
 
8.2%
3 34
 
6.8%
4 34
 
6.8%
5 23
 
4.6%
0 21
 
4.2%
6 18
 
3.6%
8 13
 
2.6%
Other values (2) 17
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 662
57.1%
ASCII 497
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
35.4%
1 77
15.5%
- 43
 
8.7%
2 41
 
8.2%
3 34
 
6.8%
4 34
 
6.8%
5 23
 
4.6%
0 21
 
4.2%
6 18
 
3.6%
8 13
 
2.6%
Other values (2) 17
 
3.4%
Hangul
ValueCountFrequency (%)
동 120
18.1%
작 61
9.2%
서 59
8.9%
특 59
8.9%
별 59
8.9%
시 59
8.9%
구 59
8.9%
울 59
8.9%
도 20
 
3.0%
상 20
 
3.0%
Other values (12) 87
13.1%

위도
Real number (ℝ)

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.498003
Minimum37.480769
Maximum37.511358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T13:13:34.162671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.480769
5-th percentile37.482225
Q137.491204
median37.498639
Q337.505707
95-th percentile37.510108
Maximum37.511358
Range0.030589
Interquartile range (IQR)0.0145024

Descriptive statistics

Standard deviation0.0091040927
Coefficient of variation (CV)0.00024278873
Kurtosis-0.95115204
Mean37.498003
Median Absolute Deviation (MAD)0.0074408
Skewness-0.39797677
Sum2212.3822
Variance8.2884505 × 10-5
MonotonicityNot monotonic
2023-12-11T13:13:34.367061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.497731 2
 
3.4%
37.488616 2
 
3.4%
37.503195 2
 
3.4%
37.506946 1
 
1.7%
37.506491 1
 
1.7%
37.503502 1
 
1.7%
37.501315 1
 
1.7%
37.501479 1
 
1.7%
37.495616 1
 
1.7%
37.498046 1
 
1.7%
Other values (46) 46
78.0%
ValueCountFrequency (%)
37.480769 1
1.7%
37.481615 1
1.7%
37.482131 1
1.7%
37.482236 1
1.7%
37.482768 1
1.7%
37.482986 1
1.7%
37.483032 1
1.7%
37.484485 1
1.7%
37.485143 1
1.7%
37.486084 1
1.7%
ValueCountFrequency (%)
37.511358 1
1.7%
37.510547 1
1.7%
37.510256 1
1.7%
37.510091 1
1.7%
37.5095412 1
1.7%
37.508982 1
1.7%
37.508926 1
1.7%
37.508816 1
1.7%
37.50881 1
1.7%
37.5084802 1
1.7%

경도
Real number (ℝ)

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.94938
Minimum126.90738
Maximum126.98179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T13:13:34.526101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.90738
5-th percentile126.91584
Q1126.93576
median126.94854
Q3126.96511
95-th percentile126.97882
Maximum126.98179
Range0.074414
Interquartile range (IQR)0.029351

Descriptive statistics

Standard deviation0.019489102
Coefficient of variation (CV)0.00015351868
Kurtosis-0.76930451
Mean126.94938
Median Absolute Deviation (MAD)0.015349
Skewness-0.11144664
Sum7490.0134
Variance0.00037982508
MonotonicityNot monotonic
2023-12-11T13:13:34.712913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.933186 2
 
3.4%
126.965107 2
 
3.4%
126.960215 2
 
3.4%
126.951242 1
 
1.7%
126.955905 1
 
1.7%
126.949679 1
 
1.7%
126.951492 1
 
1.7%
126.939943 1
 
1.7%
126.941139 1
 
1.7%
126.950283 1
 
1.7%
Other values (46) 46
78.0%
ValueCountFrequency (%)
126.907375 1
1.7%
126.912121 1
1.7%
126.913767 1
1.7%
126.916074 1
1.7%
126.921162 1
1.7%
126.922954 1
1.7%
126.925356 1
1.7%
126.926325 1
1.7%
126.926581 1
1.7%
126.929207 1
1.7%
ValueCountFrequency (%)
126.981789 1
1.7%
126.9806795 1
1.7%
126.979369 1
1.7%
126.978755 1
1.7%
126.978557 1
1.7%
126.977499 1
1.7%
126.977079 1
1.7%
126.975831 1
1.7%
126.975172 1
1.7%
126.973161 1
1.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
서울특별시 동작구청
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 동작구청 59
100.0%

Length

2023-12-11T13:13:34.921271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:13:35.028713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 59
50.0%
동작구청 59
50.0%

관할경찰서명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
동작경찰서
59 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작경찰서 59
100.0%

Length

2023-12-11T13:13:35.132200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:13:35.230140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작경찰서 59
100.0%

CCTV설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size191.0 B
True
59 
ValueCountFrequency (%)
True 59
100.0%
2023-12-11T13:13:35.316009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치대수
Real number (ℝ)

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7118644
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T13:13:35.427154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.1
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1897674
Coefficient of variation (CV)0.69501264
Kurtosis3.0966262
Mean1.7118644
Median Absolute Deviation (MAD)0
Skewness1.8584232
Sum101
Variance1.4155465
MonotonicityNot monotonic
2023-12-11T13:13:35.581749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 38
64.4%
2 9
 
15.3%
3 7
 
11.9%
4 2
 
3.4%
5 2
 
3.4%
6 1
 
1.7%
ValueCountFrequency (%)
1 38
64.4%
2 9
 
15.3%
3 7
 
11.9%
4 2
 
3.4%
5 2
 
3.4%
6 1
 
1.7%
ValueCountFrequency (%)
6 1
 
1.7%
5 2
 
3.4%
4 2
 
3.4%
3 7
 
11.9%
2 9
 
15.3%
1 38
64.4%

보호구역도로폭
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size604.0 B

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2019-05-15 00:00:00
Maximum2019-05-15 00:00:00
2023-12-11T13:13:35.718646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:35.852621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T13:13:30.225236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:29.376865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:29.787713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:30.351112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:29.507048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:29.935965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:30.500123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:29.654548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:13:30.092568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:13:35.981341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류대상시설명소재지도로명주소소재지지번주소위도경도CCTV설치대수
시설종류1.0001.0000.7980.0000.1850.2310.644
대상시설명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.7981.0001.0001.0001.0001.0000.940
소재지지번주소0.0001.0001.0001.0000.9930.9960.945
위도0.1851.0001.0000.9931.0000.6550.000
경도0.2311.0001.0000.9960.6551.0000.159
CCTV설치대수0.6441.0000.9400.9450.0000.1591.000
2023-12-11T13:13:36.116286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도CCTV설치대수시설종류
위도1.000-0.3790.1940.102
경도-0.3791.0000.0910.121
CCTV설치대수0.1940.0911.0000.463
시설종류0.1020.1210.4631.000

Missing values

2023-12-11T13:13:30.661862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:13:30.903222image/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
0초등학교신상도초등학교서울특별시 동작구 장승배기로 14서울특별시 동작구 상도2동 산6537.500401126.944081서울특별시 동작구청동작경찰서y44~172019-05-15
1초등학교강남초등학교서울특별시 동작구 강남초등길 15서울특별시 동작구 상도1동50137.50608126.953584서울특별시 동작구청동작경찰서y54~102019-05-15
2초등학교남사초등학교서울특별시 동작구 동작대로13길 22서울특별시 동작구 사당1동 1011-137.482236126.978557서울특별시 동작구청동작경찰서y23~62019-05-15
3초등학교남성초등학교서울특별시 동작구 사당로23길 57-14서울특별시 동작구 사당3동 산2437.484485126.975831서울특별시 동작구청동작경찰서y34~152019-05-15
4초등학교노량진초등학교서울특별시 동작구 장승배기로 160서울특별시 동작구 노량진1동 23837.511358126.940929서울특별시 동작구청동작경찰서y44~242019-05-15
5초등학교대림초등학교서울특별시 동작구 대방동1길 22서울특별시 동작구 대방동391-6237.500599126.925356서울특별시 동작구청동작경찰서y14~242019-05-15
6초등학교동작초등학교서울특별시 동작구 동작대로29길 214서울특별시 동작구 동작동 산9-137.494221126.977079서울특별시 동작구청동작경찰서y33~112019-05-15
7초등학교문창초등학교서울특별시 동작구 신대방2길 14서울특별시 동작구 신대방1동 64037.489027126.913767서울특별시 동작구청동작경찰서y24~52019-05-15
8초등학교보라매초등학교서울특별시 동작구 여의대방로16길 30서울특별시 동작구 신대방1동 485-137.495796126.916074서울특별시 동작구청동작경찰서y25~122019-05-15
9초등학교본동초등학교서울특별시 동작구 노량진로26길 16-40서울특별시 동작구 본동 13337.510091126.953736서울특별시 동작구청동작경찰서y24~92019-05-15
시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
49어린이집참사랑어린이집서울특별시 동작구 동작대로17길 37서울특별시 동작구 사당1동 1012-2337.482768126.977499서울특별시 동작구청동작경찰서y162019-05-15
50어린이집상도어린이집서울특별시 동작구 양녕로36길 15서울특별시 동작구 상도1동 159-40337.502462126.946408서울특별시 동작구청동작경찰서y132019-05-15
51어린이집다문화어린이집서울특별시 동작구 동작대로17길 28서울특별시 동작구 사당1동 1011-137.483032126.978755서울특별시 동작구청동작경찰서y13~62019-05-15
52어린이집노벨어린이집서울특별시 동작구 양녕로 26길 27서울특별시 동작구 상도4동 211-137.497216126.944499서울특별시 동작구청동작경찰서y17~92019-05-15
53어린이집무지개어린이집서울특별시 동작구 성대로6가길 29서울특별시 동작구 상도3동 256-17537.497731126.933186서울특별시 동작구청동작경찰서y15~82019-05-15
54어린이집영재어린이집서울특별시 동작구 여의대방로36길 105서울특별시 동작구 대방동 44-337.50881126.931851서울특별시 동작구청동작경찰서y112~182019-05-15
55어린이집문화어린이집서울특별시 동작구 사당로13길 24서울특별시 동작구 사당동 1131-437.485143126.972394서울특별시 동작구청동작경찰서y15~82019-05-15
56어린이집큰별어린이집서울특별시 동작구 흑석한강로 28서울특별시 동작구 흑석동 336-137.504636126.965112서울특별시 동작구청동작경찰서y121~232019-05-15
57어린이집성대어린이집서울특별시 동작구 성대로10길 27서울특별시 동작구 상도동 27137.496778126.935294서울특별시 동작구청동작경찰서y14~72019-05-15
58특수학교삼성특수학교서울특별시 동작구 양녕로30길 19-4서울특별시 동작구 상도4동 212-12837.499164126.94665서울특별시 동작구청동작경찰서y17~202019-05-15