Overview

Dataset statistics

Number of variables13
Number of observations622
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory66.3 KiB
Average record size in memory109.2 B

Variable types

Categorical7
Text2
DateTime2
Numeric2

Alerts

관리기관명 has constant value ""Constant
보관일수 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
설치목적구분 is highly overall correlated with 카메라대수 and 1 other fieldsHigh correlation
카메라대수 is highly overall correlated with 설치목적구분 and 2 other fieldsHigh correlation
카메라화소수 is highly overall correlated with 카메라대수High correlation
촬영방면정보 is highly overall correlated with 설치목적구분 and 1 other fieldsHigh correlation
카메라대수 is highly imbalanced (85.4%)Imbalance
카메라화소수 is highly imbalanced (92.3%)Imbalance
촬영방면정보 is highly imbalanced (60.1%)Imbalance

Reproduction

Analysis started2023-12-10 18:23:28.690301
Analysis finished2023-12-10 18:23:30.872389
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
대구광역시 서구청
622 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 서구청
2nd row대구광역시 서구청
3rd row대구광역시 서구청
4th row대구광역시 서구청
5th row대구광역시 서구청

Common Values

ValueCountFrequency (%)
대구광역시 서구청 622
100.0%

Length

2023-12-11T03:23:30.983428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:23:31.138864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 622
50.0%
서구청 622
50.0%

소재지도로명주소
Text

Distinct603
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T03:23:31.555703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.033762
Min length15

Characters and Unicode

Total characters11839
Distinct characters66
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

Unique584 ?
Unique (%)93.9%

Sample

1st row대구광역시 서구 당산로53길 67
2nd row대구광역시 서구 달구벌대로323길 111
3rd row대구광역시 서구 당산로41서길 82
4th row대구광역시 서구 당산로45길 56
5th row대구광역시 서구 당산로47길 69
ValueCountFrequency (%)
대구광역시 622
24.8%
서구 622
24.8%
서대구로 17
 
0.7%
달서천로 17
 
0.7%
7 17
 
0.7%
국채보상로 15
 
0.6%
8 14
 
0.6%
13 14
 
0.6%
평리로 13
 
0.5%
6 12
 
0.5%
Other values (578) 1143
45.6%
2023-12-11T03:23:32.264641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1884
15.9%
구 1347
 
11.4%
서 807
 
6.8%
대 735
 
6.2%
광 622
 
5.3%
역 622
 
5.3%
시 622
 
5.3%
로 585
 
4.9%
길 481
 
4.1%
1 476
 
4.0%
Other values (56) 3658
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7249
61.2%
Decimal Number 2491
 
21.0%
Space Separator 1884
 
15.9%
Dash Punctuation 213
 
1.8%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1347
18.6%
서 807
11.1%
대 735
10.1%
광 622
8.6%
역 622
8.6%
시 622
8.6%
로 585
8.1%
길 481
 
6.6%
달 135
 
1.9%
상 115
 
1.6%
Other values (42) 1178
16.3%
Decimal Number
ValueCountFrequency (%)
1 476
19.1%
2 327
13.1%
3 321
12.9%
5 252
10.1%
6 240
9.6%
4 228
9.2%
7 203
8.1%
8 159
 
6.4%
9 152
 
6.1%
0 133
 
5.3%
Space Separator
ValueCountFrequency (%)
1884
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7249
61.2%
Common 4590
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1347
18.6%
서 807
11.1%
대 735
10.1%
광 622
8.6%
역 622
8.6%
시 622
8.6%
로 585
8.1%
길 481
 
6.6%
달 135
 
1.9%
상 115
 
1.6%
Other values (42) 1178
16.3%
Common
ValueCountFrequency (%)
1884
41.0%
1 476
 
10.4%
2 327
 
7.1%
3 321
 
7.0%
5 252
 
5.5%
6 240
 
5.2%
4 228
 
5.0%
- 213
 
4.6%
7 203
 
4.4%
8 159
 
3.5%
Other values (4) 287
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7249
61.2%
ASCII 4590
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1884
41.0%
1 476
 
10.4%
2 327
 
7.1%
3 321
 
7.0%
5 252
 
5.5%
6 240
 
5.2%
4 228
 
5.0%
- 213
 
4.6%
7 203
 
4.4%
8 159
 
3.5%
Other values (4) 287
 
6.3%
Hangul
ValueCountFrequency (%)
구 1347
18.6%
서 807
11.1%
대 735
10.1%
광 622
8.6%
역 622
8.6%
시 622
8.6%
로 585
8.1%
길 481
 
6.6%
달 135
 
1.9%
상 115
 
1.6%
Other values (42) 1178
16.3%

소재지지번주소
Text

Distinct603
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T03:23:32.871301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.81672
Min length16

Characters and Unicode

Total characters11704
Distinct characters31
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

Unique584 ?
Unique (%)93.9%

Sample

1st row대구광역시 서구 중리동 708-1
2nd row대구광역시 서구 중리동 715-13
3rd row대구광역시 서구 중리동 711-1
4th row대구광역시 서구 중리동 721-12
5th row대구광역시 서구 중리동 720-1
ValueCountFrequency (%)
대구광역시 622
25.0%
서구 622
25.0%
비산동 223
 
9.0%
평리동 160
 
6.4%
내당동 97
 
3.9%
중리동 43
 
1.7%
원대동3가 21
 
0.8%
상리동 16
 
0.6%
원대동1가 15
 
0.6%
이현동 12
 
0.5%
Other values (611) 655
26.3%
2023-12-11T03:23:33.644559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1864
15.9%
구 1244
 
10.6%
1 779
 
6.7%
대 665
 
5.7%
광 622
 
5.3%
역 622
 
5.3%
시 622
 
5.3%
서 622
 
5.3%
동 622
 
5.3%
- 578
 
4.9%
Other values (21) 3464
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6267
53.5%
Decimal Number 2995
25.6%
Space Separator 1864
 
15.9%
Dash Punctuation 578
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1244
19.9%
대 665
10.6%
광 622
9.9%
역 622
9.9%
시 622
9.9%
서 622
9.9%
동 622
9.9%
산 239
 
3.8%
비 235
 
3.7%
리 226
 
3.6%
Other values (9) 548
8.7%
Decimal Number
ValueCountFrequency (%)
1 779
26.0%
2 380
12.7%
3 286
 
9.5%
4 252
 
8.4%
0 247
 
8.2%
6 235
 
7.8%
5 215
 
7.2%
8 213
 
7.1%
9 209
 
7.0%
7 179
 
6.0%
Space Separator
ValueCountFrequency (%)
1864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 578
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6267
53.5%
Common 5437
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1244
19.9%
대 665
10.6%
광 622
9.9%
역 622
9.9%
시 622
9.9%
서 622
9.9%
동 622
9.9%
산 239
 
3.8%
비 235
 
3.7%
리 226
 
3.6%
Other values (9) 548
8.7%
Common
ValueCountFrequency (%)
1864
34.3%
1 779
14.3%
- 578
 
10.6%
2 380
 
7.0%
3 286
 
5.3%
4 252
 
4.6%
0 247
 
4.5%
6 235
 
4.3%
5 215
 
4.0%
8 213
 
3.9%
Other values (2) 388
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6267
53.5%
ASCII 5437
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1864
34.3%
1 779
14.3%
- 578
 
10.6%
2 380
 
7.0%
3 286
 
5.3%
4 252
 
4.6%
0 247
 
4.5%
6 235
 
4.3%
5 215
 
4.0%
8 213
 
3.9%
Other values (2) 388
 
7.1%
Hangul
ValueCountFrequency (%)
구 1244
19.9%
대 665
10.6%
광 622
9.9%
역 622
9.9%
시 622
9.9%
서 622
9.9%
동 622
9.9%
산 239
 
3.8%
비 235
 
3.7%
리 226
 
3.6%
Other values (9) 548
8.7%

설치목적구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
생활방범
419 
어린이보호
200 
시설물관리
 
3

Length

Max length5
Median length4
Mean length4.3263666
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활방범 419
67.4%
어린이보호 200
32.2%
시설물관리 3
 
0.5%

Length

2023-12-11T03:23:33.868857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:23:34.038433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활방범 419
67.4%
어린이보호 200
32.2%
시설물관리 3
 
0.5%

카메라대수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
1
593 
2
 
27
8
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 593
95.3%
2 27
 
4.3%
8 1
 
0.2%
7 1
 
0.2%

Length

2023-12-11T03:23:34.204910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:23:34.386849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 593
95.3%
2 27
 
4.3%
8 1
 
0.2%
7 1
 
0.2%

카메라화소수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
200
610 
<NA>
 
10
130
 
1
41
 
1

Length

Max length4
Median length3
Mean length3.0144695
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row200
2nd row200
3rd row200
4th row200
5th row200

Common Values

ValueCountFrequency (%)
200 610
98.1%
<NA> 10
 
1.6%
130 1
 
0.2%
41 1
 
0.2%

Length

2023-12-11T03:23:34.587381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:23:34.754682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 610
98.1%
na 10
 
1.6%
130 1
 
0.2%
41 1
 
0.2%

촬영방면정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct31
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
동서남북
458 
북서
 
19
북동
 
18
동/서
 
13
남동
 
13
Other values (26)
101 

Length

Max length6
Median length4
Mean length3.6688103
Min length1

Unique

Unique7 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
동서남북 458
73.6%
북서 19
 
3.1%
북동 18
 
2.9%
동/서 13
 
2.1%
남동 13
 
2.1%
남서 13
 
2.1%
북 12
 
1.9%
동 9
 
1.4%
남/북 7
 
1.1%
북서/남동 7
 
1.1%
Other values (21) 53
 
8.5%

Length

2023-12-11T03:23:34.934834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동서남북 458
73.4%
북서 19
 
3.0%
북동 18
 
2.9%
동/서 13
 
2.1%
남동 13
 
2.1%
남서 13
 
2.1%
북 12
 
1.9%
동 9
 
1.4%
남/북 7
 
1.1%
북서/남동 7
 
1.1%
Other values (22) 55
 
8.8%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
30
622 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 622
100.0%

Length

2023-12-11T03:23:35.120938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:23:35.309960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 622
100.0%

설치년월
Date

Distinct39
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2010-02-01 00:00:00
Maximum2018-12-01 00:00:00
2023-12-11T03:23:35.451104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:23:35.670728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
053-663-3901
622 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-663-3901
2nd row053-663-3901
3rd row053-663-3901
4th row053-663-3901
5th row053-663-3901

Common Values

ValueCountFrequency (%)
053-663-3901 622
100.0%

Length

2023-12-11T03:23:35.909367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:23:36.046484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-663-3901 622
100.0%

위도
Real number (ℝ)

Distinct603
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.874326
Minimum35.855263
Maximum35.892563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-11T03:23:36.193218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.855263
5-th percentile35.859181
Q135.866917
median35.875104
Q335.882058
95-th percentile35.88723
Maximum35.892563
Range0.037300211
Interquartile range (IQR)0.015140806

Descriptive statistics

Standard deviation0.0090130936
Coefficient of variation (CV)0.00025124078
Kurtosis-1.0946121
Mean35.874326
Median Absolute Deviation (MAD)0.0077327989
Skewness-0.1792486
Sum22313.831
Variance8.1235856 × 10-5
MonotonicityNot monotonic
2023-12-11T03:23:36.429622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8787905602 2
 
0.3%
35.8833971093 2
 
0.3%
35.8834199795 2
 
0.3%
35.8673716152 2
 
0.3%
35.8679636117 2
 
0.3%
35.884198015 2
 
0.3%
35.8857756965 2
 
0.3%
35.8852553864 2
 
0.3%
35.8782550904 2
 
0.3%
35.8646803675 2
 
0.3%
Other values (593) 602
96.8%
ValueCountFrequency (%)
35.8552627153 1
0.2%
35.8560303403 1
0.2%
35.8561654185 1
0.2%
35.8561959594 1
0.2%
35.8563241688 1
0.2%
35.8564137634 1
0.2%
35.8567885774 1
0.2%
35.8569337722 1
0.2%
35.8571804738 1
0.2%
35.857355667 1
0.2%
ValueCountFrequency (%)
35.8925629267 1
0.2%
35.8901647411 1
0.2%
35.8899280874 1
0.2%
35.8894457869 1
0.2%
35.8893023417 1
0.2%
35.889259358 1
0.2%
35.8891944731 1
0.2%
35.8889528073 1
0.2%
35.888795238 1
0.2%
35.8887939179 1
0.2%

경도
Real number (ℝ)

Distinct603
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.56164
Minimum128.52481
Maximum128.58141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-11T03:23:36.657304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.52481
5-th percentile128.54341
Q1128.5538
median128.56262
Q3128.57013
95-th percentile128.57725
Maximum128.58141
Range0.056592575
Interquartile range (IQR)0.01633345

Descriptive statistics

Standard deviation0.011374731
Coefficient of variation (CV)8.8476866 × 10-5
Kurtosis0.34955579
Mean128.56164
Median Absolute Deviation (MAD)0.0078981321
Skewness-0.68024764
Sum79965.338
Variance0.0001293845
MonotonicityNot monotonic
2023-12-11T03:23:36.875112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5740515634 2
 
0.3%
128.530557922 2
 
0.3%
128.5670739578 2
 
0.3%
128.5751231952 2
 
0.3%
128.576157891 2
 
0.3%
128.5632445811 2
 
0.3%
128.570513354 2
 
0.3%
128.5774838754 2
 
0.3%
128.5592833577 2
 
0.3%
128.5573257358 2
 
0.3%
Other values (593) 602
96.8%
ValueCountFrequency (%)
128.5248136507 1
0.2%
128.5255405346 1
0.2%
128.5256776114 1
0.2%
128.5265884 1
0.2%
128.5267943712 2
0.3%
128.5272719239 1
0.2%
128.5278437622 1
0.2%
128.5282818641 1
0.2%
128.5282862998 1
0.2%
128.530557922 2
0.3%
ValueCountFrequency (%)
128.5814062253 1
0.2%
128.5803987346 1
0.2%
128.5802325066 1
0.2%
128.5799976742 1
0.2%
128.5799503215 1
0.2%
128.5797272359 1
0.2%
128.5795796678 1
0.2%
128.5795011367 1
0.2%
128.5794741569 1
0.2%
128.5792933268 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2019-09-20 00:00:00
Maximum2019-09-20 00:00:00
2023-12-11T03:23:37.014674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:23:37.139494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T03:23:29.961284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:23:29.563744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:23:30.158307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:23:29.783352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:23:37.279242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치목적구분카메라대수카메라화소수촬영방면정보설치년월위도경도
설치목적구분1.0000.5690.7480.8080.9090.2000.214
카메라대수0.5691.0000.6750.8760.5740.0700.046
카메라화소수0.7480.6751.0000.7230.2330.0000.000
촬영방면정보0.8080.8760.7231.0000.6910.2450.000
설치년월0.9090.5740.2330.6911.0000.5280.381
위도0.2000.0700.0000.2450.5281.0000.575
경도0.2140.0460.0000.0000.3810.5751.000
2023-12-11T03:23:37.418828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카메라화소수촬영방면정보카메라대수설치목적구분
카메라화소수1.0000.4940.7050.405
촬영방면정보0.4941.0000.6540.590
카메라대수0.7050.6541.0000.578
설치목적구분0.4050.5900.5781.000
2023-12-11T03:23:37.583636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치목적구분카메라대수카메라화소수촬영방면정보
위도1.0000.2880.1210.0420.0000.086
경도0.2881.0000.1300.0280.0000.000
설치목적구분0.1210.1301.0000.5780.4050.590
카메라대수0.0420.0280.5781.0000.7050.654
카메라화소수0.0000.0000.4050.7051.0000.494
촬영방면정보0.0860.0000.5900.6540.4941.000

Missing values

2023-12-11T03:23:30.411426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:23:30.747195image/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

관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도데이터기준일자
0대구광역시 서구청대구광역시 서구 당산로53길 67대구광역시 서구 중리동 708-1생활방범1200동서남북302016-05053-663-390135.858557128.543012019-09-20
1대구광역시 서구청대구광역시 서구 달구벌대로323길 111대구광역시 서구 중리동 715-13생활방범1200동서남북302016-05053-663-390135.857356128.5416892019-09-20
2대구광역시 서구청대구광역시 서구 당산로41서길 82대구광역시 서구 중리동 711-1생활방범1200동서남북302016-06053-663-390135.857466128.5431922019-09-20
3대구광역시 서구청대구광역시 서구 당산로45길 56대구광역시 서구 중리동 721-12생활방범1200동서남북302016-06053-663-390135.85603128.5444042019-09-20
4대구광역시 서구청대구광역시 서구 당산로47길 69대구광역시 서구 중리동 720-1생활방범1200동서남북302015-04053-663-390135.856196128.5438592019-09-20
5대구광역시 서구청대구광역시 서구 달구벌대로323길 99대구광역시 서구 중리동 717-5생활방범1200동서남북302016-05053-663-390135.856789128.541782019-09-20
6대구광역시 서구청대구광역시 서구 죽전길 136대구광역시 서구 중리동 714-1생활방범1200동서남북302015-07053-663-390135.857842128.5405612019-09-20
7대구광역시 서구청대구광역시 서구 달구벌대로329길 127대구광역시 서구 중리동 707-19생활방범1200동서남북302016-07053-663-390135.859182128.5440092019-09-20
8대구광역시 서구청대구광역시 서구 달구벌대로329길 137-16대구광역시 서구 중리동 705-17생활방범1200동서남북302014-12053-663-390135.85933128.543142019-09-20
9대구광역시 서구청대구광역시 서구 당산로41동길 61대구광역시 서구 내당동 423-26생활방범1200동서남북302015-04053-663-390135.857566128.5460642019-09-20
관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도데이터기준일자
612대구광역시 서구청대구광역시 서구 상리동 265-2대구광역시 서구 상리동 265-2생활방범1200남서302018-12053-663-390135.87861128.5318282019-09-20
613대구광역시 서구청대구광역시 서구 상리동 265-2대구광역시 서구 상리동 265-2생활방범1200북동302018-12053-663-390135.87861128.5318282019-09-20
614대구광역시 서구청대구광역시 서구 이현동 산16-6대구광역시 서구 이현동 산16-6생활방범1200동서남북302018-12053-663-390135.873876128.5439162019-09-20
615대구광역시 서구청대구광역시 서구 국채보상로70길 3-2대구광역시 서구 비산6동 338-6생활방범1200동서남북302018-12053-663-390135.87173128.5689962019-09-20
616대구광역시 서구청대구광역시 서구 달서로25길 20대구광역시 서구 비산6동 458-10생활방범1200서302018-12053-663-390135.874183128.5691422019-09-20
617대구광역시 서구청대구광역시 서구 옥산로2길 14대구광역시 서구 원대동3가 1299-5생활방범1200남서302018-12053-663-390135.886245128.5756792019-09-20
618대구광역시 서구청대구광역시 서구 달서천로49길 23-1대구광역시 서구 비산7동 1319-13생활방범1200북서302018-12053-663-390135.885516128.5594832019-09-20
619대구광역시 서구청대구광역시 서구 달서천로49길 24대구광역시 서구 비산7동 1283-45생활방범1200남동302018-12053-663-390135.885654128.5596452019-09-20
620대구광역시 서구청대구광역시 서구 국채보상로69길 7대구광역시 서구 비산동 353-3어린이보호1200동서남북302018-10053-663-390135.872878128.5683682019-09-20
621대구광역시 서구청대구광역시 서구 문화로66길 7-1대구광역시 서구 비산동 453-11어린이보호1200동서남북302018-10053-663-390135.875198128.5692642019-09-20

Duplicate rows

Most frequently occurring

관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도데이터기준일자# duplicates
0대구광역시 서구청대구광역시 서구 평리로73길 9대구광역시 서구 평리동 1198-5생활방범1200동서남북302015-06053-663-390135.86635128.5625132019-09-202