Overview

Dataset statistics

Number of variables12
Number of observations1383
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows241
Duplicate rows (%)17.4%
Total size in memory136.5 KiB
Average record size in memory101.1 B

Variable types

Categorical7
Text2
Numeric3

Dataset

Description부산광역시부산진구_방범용CCTV_20221013
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15092265

Alerts

관리기관명 has constant value ""Constant
설치목적구분 has constant value ""Constant
카메라화소수 has constant value ""Constant
촬영방면정보 has constant value ""Constant
보관일수 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 241 (17.4%) duplicate rowsDuplicates
위도 is highly skewed (γ1 = 23.27830496)Skewed

Reproduction

Analysis started2023-12-10 17:35:01.517545
Analysis finished2023-12-10 17:35:05.712122
Duration4.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
부산광역시 부산진구청
1383 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 부산진구청
2nd row부산광역시 부산진구청
3rd row부산광역시 부산진구청
4th row부산광역시 부산진구청
5th row부산광역시 부산진구청

Common Values

ValueCountFrequency (%)
부산광역시 부산진구청 1383
100.0%

Length

2023-12-11T02:35:05.880527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:06.118462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 1383
50.0%
부산진구청 1383
50.0%

설치장소
Text

Distinct899
Distinct (%)65.1%
Missing1
Missing (%)0.1%
Memory size10.9 KiB
2023-12-11T02:35:06.542253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length9.5144718
Min length3

Characters and Unicode

Total characters13149
Distinct characters480
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique656 ?
Unique (%)47.5%

Sample

1st row협진빌라 앞
2nd row가남한우방(가남초교밑)
3rd row가남한우방(가남초교밑)
4th row가남한우방(가남초교밑)
5th row가남한우방(가남초교밑)
ValueCountFrequency (%)
앞 441
 
14.9%
옆 93
 
3.1%
주변 62
 
2.1%
인근 53
 
1.8%
삼거리 50
 
1.7%
입구 49
 
1.7%
골목 35
 
1.2%
뒤 30
 
1.0%
사거리 28
 
0.9%
전주 27
 
0.9%
Other values (1098) 2090
70.7%
2023-12-11T02:35:07.436717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1576
 
12.0%
앞 509
 
3.9%
원 246
 
1.9%
리 228
 
1.7%
주 221
 
1.7%
교 204
 
1.6%
이 195
 
1.5%
초 173
 
1.3%
동 170
 
1.3%
로 146
 
1.1%
Other values (470) 9481
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10906
82.9%
Space Separator 1576
 
12.0%
Decimal Number 449
 
3.4%
Uppercase Letter 62
 
0.5%
Close Punctuation 61
 
0.5%
Open Punctuation 61
 
0.5%
Dash Punctuation 19
 
0.1%
Connector Punctuation 11
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 509
 
4.7%
원 246
 
2.3%
리 228
 
2.1%
주 221
 
2.0%
교 204
 
1.9%
이 195
 
1.8%
초 173
 
1.6%
동 170
 
1.6%
로 146
 
1.3%
지 146
 
1.3%
Other values (439) 8668
79.5%
Uppercase Letter
ValueCountFrequency (%)
C 10
16.1%
L 9
14.5%
K 8
12.9%
E 5
8.1%
A 4
 
6.5%
N 4
 
6.5%
S 4
 
6.5%
G 4
 
6.5%
P 3
 
4.8%
H 3
 
4.8%
Other values (5) 8
12.9%
Decimal Number
ValueCountFrequency (%)
1 101
22.5%
2 89
19.8%
3 53
11.8%
0 39
 
8.7%
5 33
 
7.3%
8 29
 
6.5%
4 29
 
6.5%
7 28
 
6.2%
6 24
 
5.3%
9 24
 
5.3%
Space Separator
ValueCountFrequency (%)
1576
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10910
83.0%
Common 2177
 
16.6%
Latin 62
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 509
 
4.7%
원 246
 
2.3%
리 228
 
2.1%
주 221
 
2.0%
교 204
 
1.9%
이 195
 
1.8%
초 173
 
1.6%
동 170
 
1.6%
로 146
 
1.3%
지 146
 
1.3%
Other values (440) 8672
79.5%
Common
ValueCountFrequency (%)
1576
72.4%
1 101
 
4.6%
2 89
 
4.1%
) 61
 
2.8%
( 61
 
2.8%
3 53
 
2.4%
0 39
 
1.8%
5 33
 
1.5%
8 29
 
1.3%
4 29
 
1.3%
Other values (5) 106
 
4.9%
Latin
ValueCountFrequency (%)
C 10
16.1%
L 9
14.5%
K 8
12.9%
E 5
8.1%
A 4
 
6.5%
N 4
 
6.5%
S 4
 
6.5%
G 4
 
6.5%
P 3
 
4.8%
H 3
 
4.8%
Other values (5) 8
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10906
82.9%
ASCII 2239
 
17.0%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1576
70.4%
1 101
 
4.5%
2 89
 
4.0%
) 61
 
2.7%
( 61
 
2.7%
3 53
 
2.4%
0 39
 
1.7%
5 33
 
1.5%
8 29
 
1.3%
4 29
 
1.3%
Other values (20) 168
 
7.5%
Hangul
ValueCountFrequency (%)
앞 509
 
4.7%
원 246
 
2.3%
리 228
 
2.1%
주 221
 
2.0%
교 204
 
1.9%
이 195
 
1.8%
초 173
 
1.6%
동 170
 
1.6%
로 146
 
1.3%
지 146
 
1.3%
Other values (439) 8668
79.5%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지주소
Text

Distinct871
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2023-12-11T02:35:08.234112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.217643
Min length11

Characters and Unicode

Total characters29344
Distinct characters107
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique618 ?
Unique (%)44.7%

Sample

1st row부산광역시 부산진구 엄광로305번길 3
2nd row부산광역시 부산진구 가야대로668번길 18
3rd row부산광역시 부산진구 가야대로668번길 18
4th row부산광역시 부산진구 가야대로668번길 18
5th row부산광역시 부산진구 가야대로668번길 18
ValueCountFrequency (%)
부산광역시 1383
25.5%
부산진구 1383
25.5%
14 33
 
0.6%
엄광로 32
 
0.6%
17 30
 
0.6%
23 29
 
0.5%
19 28
 
0.5%
7 25
 
0.5%
40 23
 
0.4%
12 23
 
0.4%
Other values (815) 2433
44.9%
2023-12-11T02:35:09.197492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4043
 
13.8%
부 2804
 
9.6%
산 2797
 
9.5%
광 1491
 
5.1%
진 1474
 
5.0%
시 1396
 
4.8%
역 1383
 
4.7%
구 1383
 
4.7%
로 1325
 
4.5%
1 1058
 
3.6%
Other values (97) 10190
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19402
66.1%
Decimal Number 5645
 
19.2%
Space Separator 4043
 
13.8%
Dash Punctuation 253
 
0.9%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2804
14.5%
산 2797
14.4%
광 1491
7.7%
진 1474
7.6%
시 1396
7.2%
역 1383
7.1%
구 1383
7.1%
로 1325
 
6.8%
번 999
 
5.1%
길 997
 
5.1%
Other values (84) 3353
17.3%
Decimal Number
ValueCountFrequency (%)
1 1058
18.7%
2 792
14.0%
3 591
10.5%
4 566
10.0%
5 526
9.3%
6 477
8.4%
7 475
8.4%
8 419
 
7.4%
0 395
 
7.0%
9 346
 
6.1%
Space Separator
ValueCountFrequency (%)
4043
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19402
66.1%
Common 9941
33.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2804
14.5%
산 2797
14.4%
광 1491
7.7%
진 1474
7.6%
시 1396
7.2%
역 1383
7.1%
구 1383
7.1%
로 1325
 
6.8%
번 999
 
5.1%
길 997
 
5.1%
Other values (84) 3353
17.3%
Common
ValueCountFrequency (%)
4043
40.7%
1 1058
 
10.6%
2 792
 
8.0%
3 591
 
5.9%
4 566
 
5.7%
5 526
 
5.3%
6 477
 
4.8%
7 475
 
4.8%
8 419
 
4.2%
0 395
 
4.0%
Other values (2) 599
 
6.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19402
66.1%
ASCII 9942
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4043
40.7%
1 1058
 
10.6%
2 792
 
8.0%
3 591
 
5.9%
4 566
 
5.7%
5 526
 
5.3%
6 477
 
4.8%
7 475
 
4.8%
8 419
 
4.2%
0 395
 
4.0%
Other values (3) 600
 
6.0%
Hangul
ValueCountFrequency (%)
부 2804
14.5%
산 2797
14.4%
광 1491
7.7%
진 1474
7.6%
시 1396
7.2%
역 1383
7.1%
구 1383
7.1%
로 1325
 
6.8%
번 999
 
5.1%
길 997
 
5.1%
Other values (84) 3353
17.3%

설치목적구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
다목적
1383 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다목적 1383
100.0%

Length

2023-12-11T02:35:09.517977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:09.716740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다목적 1383
100.0%

카메라대수
Real number (ℝ)

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1952278
Minimum0
Maximum6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T02:35:10.336854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.58767398
Coefficient of variation (CV)0.49168368
Kurtosis12.136667
Mean1.1952278
Median Absolute Deviation (MAD)0
Skewness3.3353136
Sum1653
Variance0.34536071
MonotonicityNot monotonic
2023-12-11T02:35:10.577256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1216
87.9%
2 80
 
5.8%
3 71
 
5.1%
4 12
 
0.9%
5 2
 
0.1%
0 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 1216
87.9%
2 80
 
5.8%
3 71
 
5.1%
4 12
 
0.9%
5 2
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 2
 
0.1%
4 12
 
0.9%
3 71
 
5.1%
2 80
 
5.8%
1 1216
87.9%
0 1
 
0.1%

카메라화소수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
200
1383 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
200 1383
100.0%

Length

2023-12-11T02:35:10.929310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:11.172446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 1383
100.0%

촬영방면정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
360도 전방면
1383 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row360도 전방면
2nd row360도 전방면
3rd row360도 전방면
4th row360도 전방면
5th row360도 전방면

Common Values

ValueCountFrequency (%)
360도 전방면 1383
100.0%

Length

2023-12-11T02:35:11.426642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:11.708931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
360도 1383
50.0%
전방면 1383
50.0%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
30
1383 

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 1383
100.0%

Length

2023-12-11T02:35:11.969697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:12.200676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 1383
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
051-605-6321
1383 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-605-6321
2nd row051-605-6321
3rd row051-605-6321
4th row051-605-6321
5th row051-605-6321

Common Values

ValueCountFrequency (%)
051-605-6321 1383
100.0%

Length

2023-12-11T02:35:12.416277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:12.638579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-605-6321 1383
100.0%

위도
Real number (ℝ)

SKEWED 

Distinct860
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.164503
Minimum35.141397
Maximum37.614523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T02:35:12.904055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.141397
5-th percentile35.144472
Q135.151287
median35.158952
Q335.168291
95-th percentile35.177238
Maximum37.614523
Range2.4731256
Interquartile range (IQR)0.01700394

Descriptive statistics

Standard deviation0.087548447
Coefficient of variation (CV)0.0024896825
Kurtosis590.45481
Mean35.164503
Median Absolute Deviation (MAD)0.008634
Skewness23.278305
Sum48632.508
Variance0.0076647306
MonotonicityNot monotonic
2023-12-11T02:35:13.236236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.148951 12
 
0.9%
35.142722 6
 
0.4%
35.17136 6
 
0.4%
35.16578618 5
 
0.4%
35.150529 5
 
0.4%
35.15259782 5
 
0.4%
35.151966 5
 
0.4%
35.14683132 5
 
0.4%
35.160768 5
 
0.4%
35.168484 5
 
0.4%
Other values (850) 1324
95.7%
ValueCountFrequency (%)
35.141397 2
0.1%
35.141659 3
0.2%
35.141676 3
0.2%
35.141733 1
 
0.1%
35.142041 3
0.2%
35.142055 1
 
0.1%
35.142313 1
 
0.1%
35.142429 1
 
0.1%
35.142659 1
 
0.1%
35.142701 1
 
0.1%
ValueCountFrequency (%)
37.61452256 1
 
0.1%
37.01009709 1
 
0.1%
35.87714864 1
 
0.1%
35.57221039 3
0.2%
35.188454 1
 
0.1%
35.18839986 2
0.1%
35.187734 1
 
0.1%
35.1867074 1
 
0.1%
35.1847 1
 
0.1%
35.18417159 1
 
0.1%

경도
Real number (ℝ)

Distinct861
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.03949
Minimum126.84149
Maximum129.13581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-11T02:35:13.585539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.84149
5-th percentile129.01962
Q1129.0335
median129.04842
Q3129.06056
95-th percentile129.07151
Maximum129.13581
Range2.2943218
Interquartile range (IQR)0.0270608

Descriptive statistics

Standard deviation0.12538731
Coefficient of variation (CV)0.00097169719
Kurtosis266.66108
Mean129.03949
Median Absolute Deviation (MAD)0.0136988
Skewness-16.12139
Sum178461.61
Variance0.015721976
MonotonicityNot monotonic
2023-12-11T02:35:13.936682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.033382 12
 
0.9%
129.063181 6
 
0.4%
129.0223977 5
 
0.4%
129.021841 5
 
0.4%
129.0347242 5
 
0.4%
129.051303 5
 
0.4%
129.0706257 5
 
0.4%
129.038874 5
 
0.4%
129.0335032 5
 
0.4%
129.0223764 5
 
0.4%
Other values (851) 1325
95.8%
ValueCountFrequency (%)
126.8414882 3
0.2%
127.1823304 1
 
0.1%
127.271618 1
 
0.1%
128.6071212 1
 
0.1%
129.0131898 3
0.2%
129.015425 1
 
0.1%
129.015462 1
 
0.1%
129.01589 1
 
0.1%
129.016285 1
 
0.1%
129.016308 2
0.1%
ValueCountFrequency (%)
129.13581 3
0.2%
129.080717 1
 
0.1%
129.0793742 1
 
0.1%
129.0792634 1
 
0.1%
129.078697 1
 
0.1%
129.0784363 1
 
0.1%
129.077798 1
 
0.1%
129.077472 1
 
0.1%
129.07698 1
 
0.1%
129.07677 1
 
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2022-10-13
1383 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-13
2nd row2022-10-13
3rd row2022-10-13
4th row2022-10-13
5th row2022-10-13

Common Values

ValueCountFrequency (%)
2022-10-13 1383
100.0%

Length

2023-12-11T02:35:14.278793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:14.512252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-13 1383
100.0%

Interactions

2023-12-11T02:35:04.153421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:02.573309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:03.306140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:04.403138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:02.844957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:03.558832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:04.665274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:03.066357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:03.902702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:35:14.637964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카메라대수위도경도
카메라대수1.0000.0000.000
위도0.0001.0001.000
경도0.0001.0001.000
2023-12-11T02:35:14.815820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카메라대수위도경도
카메라대수1.0000.122-0.009
위도0.1221.0000.247
경도-0.0090.2471.000

Missing values

2023-12-11T02:35:05.067238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:35:05.509576image/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

관리기관명설치장소소재지주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수관리기관전화번호위도경도데이터기준일자
0부산광역시 부산진구청협진빌라 앞부산광역시 부산진구 엄광로305번길 3다목적1200360도 전방면30051-605-632135.155249129.0430732022-10-13
1부산광역시 부산진구청가남한우방(가남초교밑)부산광역시 부산진구 가야대로668번길 18다목적1200360도 전방면30051-605-632135.155371129.04432022-10-13
2부산광역시 부산진구청가남한우방(가남초교밑)부산광역시 부산진구 가야대로668번길 18다목적1200360도 전방면30051-605-632135.155371129.04432022-10-13
3부산광역시 부산진구청가남한우방(가남초교밑)부산광역시 부산진구 가야대로668번길 18다목적1200360도 전방면30051-605-632135.155371129.04432022-10-13
4부산광역시 부산진구청가남한우방(가남초교밑)부산광역시 부산진구 가야대로668번길 18다목적1200360도 전방면30051-605-632135.155371129.04432022-10-13
5부산광역시 부산진구청가남초교부산광역시 부산진구 엄광로328다목적1200360도 전방면30051-605-632135.154192129.0443152022-10-13
6부산광역시 부산진구청가남초교부산광역시 부산진구 엄광로328다목적1200360도 전방면30051-605-632135.154192129.0443152022-10-13
7부산광역시 부산진구청가남초교부산광역시 부산진구 엄광로328다목적1200360도 전방면30051-605-632135.154192129.0443152022-10-13
8부산광역시 부산진구청가남초교부산광역시 부산진구 엄광로328다목적1200360도 전방면30051-605-632135.154192129.0443152022-10-13
9부산광역시 부산진구청고려 E 스쿨 옆(가야초등학교후문주변)부산광역시 부산진구 대학로36번길 24다목적1200360도 전방면30051-605-632135.152598129.0347242022-10-13
관리기관명설치장소소재지주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수관리기관전화번호위도경도데이터기준일자
1373부산광역시 부산진구청초연중학교 밑 삼거리부산광역시 부산진구 초읍천로77번길 16다목적1200360도 전방면30051-605-632135.179334129.0457462022-10-13
1374부산광역시 부산진구청초연근린공원 화장실부산광역시 부산진구 성지로143번길 27다목적1200360도 전방면30051-605-632135.180008129.0492482022-10-13
1375부산광역시 부산진구청초연근린공원 화장실부산광역시 부산진구 성지로143번길 27다목적1200360도 전방면30051-605-632135.180008129.0492482022-10-13
1376부산광역시 부산진구청시민도서관 삼거리부산광역시 부산진구 성지로 141다목적1200360도 전방면30051-605-632135.180774129.049342022-10-13
1377부산광역시 부산진구청시민도서관 삼거리부산광역시 부산진구 성지로 141다목적1200360도 전방면30051-605-632135.180774129.049342022-10-13
1378부산광역시 부산진구청시민도서관 삼거리부산광역시 부산진구 성지로 141다목적1200360도 전방면30051-605-632135.180774129.049342022-10-13
1379부산광역시 부산진구청성지파크아파트 위부산광역시 부산진구 초읍천로77번길 47다목적1200360도 전방면30051-605-632135.1785129.044382022-10-13
1380부산광역시 부산진구청성지파크아파트 위부산광역시 부산진구 초읍천로77번길 47다목적1200360도 전방면30051-605-632135.1785129.044382022-10-13
1381부산광역시 부산진구청성지파크아파트 위부산광역시 부산진구 초읍천로77번길 59다목적1200360도 전방면30051-605-632135.17828129.044582022-10-13
1382부산광역시 부산진구청성지파크아파트 위부산광역시 부산진구 초읍천로77번길 59다목적1200360도 전방면30051-605-632135.17828129.044582022-10-13

Duplicate rows

Most frequently occurring

관리기관명설치장소소재지주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수관리기관전화번호위도경도데이터기준일자# duplicates
80부산광역시 부산진구청무지개다리 앞부산광역시 부산진구 자유평화로37번길 37다목적1200360도 전방면30051-605-632135.142722129.0631812022-10-136
30부산광역시 부산진구청고려 E 스쿨 옆(가야초등학교후문주변)부산광역시 부산진구 대학로36번길 24다목적1200360도 전방면30051-605-632135.152598129.0347242022-10-135
69부산광역시 부산진구청동화어린이집부산광역시 부산진구 복지로21번길 29다목적1200360도 전방면30051-605-632135.151287129.0223762022-10-135
85부산광역시 부산진구청백산어린이집부산광역시 부산진구 백양순환로 12다목적1200360도 전방면30051-605-632135.165786129.0335032022-10-135
133부산광역시 부산진구청수명탕옆 주례초교뒤부산광역시 부산진구 엄광로12번길 66다목적1200360도 전방면30051-605-632135.146831129.0223982022-10-135
160부산광역시 부산진구청양정중앙교회앞부산광역시 부산진구 중앙대로910번길14다목적1200360도 전방면30051-605-632135.17095129.0706262022-10-135
165부산광역시 부산진구청엄광로250번길 12 인근부산광역시 부산진구 엄광로250번길 12다목적1200360도 전방면30051-605-632135.152619129.0388742022-10-135
170부산광역시 부산진구청연지시장 연지초등학교옆부산광역시 부산진구 연지로 23다목적1200360도 전방면30051-605-632135.17136129.0520682022-10-135
235부산광역시 부산진구청홈플러스와부산은행사이부산광역시 부산진구 가야공원로14번길 55다목적1200360도 전방면30051-605-632135.151966129.0265852022-10-135
2부산광역시 부산진구청NC백화점 뒤부산광역시 부산진구 서전로38번길 23다목적1200360도 전방면30051-605-632135.156473129.0638332022-10-134