Overview

Dataset statistics

Number of variables14
Number of observations2120
Missing cells0
Missing cells (%)0.0%
Duplicate rows349
Duplicate rows (%)16.5%
Total size in memory244.4 KiB
Average record size in memory118.1 B

Variable types

Numeric3
Categorical8
Text2
DateTime1

Dataset

Description대구광역시 달서구 관내 방범용 폐쇄회로 텔레비전 소재지 도로명 주소, 소재지 지번주소, 설치목적, 설치수량, 카메라 화소수, 촬영방면정보,설치연도, 관리기관 전화번호, 위도, 경도, 데이터기준일자를 제공합니다.
URLhttps://www.data.go.kr/data/15083776/fileData.do

Alerts

관리기관명 has constant value ""Constant
카메라대수 has constant value ""Constant
보관일수 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리부서 has constant value ""Constant
기준일자 has constant value ""Constant
Dataset has 349 (16.5%) duplicate rowsDuplicates
설치연도 is highly overall correlated with 촬영방면정보High correlation
촬영방면정보 is highly overall correlated with 설치연도High correlation
카메라화소수 is highly imbalanced (95.7%)Imbalance

Reproduction

Analysis started2023-12-12 06:57:02.015583
Analysis finished2023-12-12 06:57:04.073698
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct1540
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.837105
Minimum35.790842
Maximum35.86425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.8 KiB
2023-12-12T15:57:04.167228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.790842
5-th percentile35.80701
Q135.820239
median35.841392
Q335.853659
95-th percentile35.859668
Maximum35.86425
Range0.07340833
Interquartile range (IQR)0.033420142

Descriptive statistics

Standard deviation0.018239483
Coefficient of variation (CV)0.00050895525
Kurtosis-1.2039724
Mean35.837105
Median Absolute Deviation (MAD)0.01425289
Skewness-0.40289675
Sum75974.663
Variance0.00033267873
MonotonicityNot monotonic
2023-12-12T15:57:04.350483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.813925 7
 
0.3%
35.8557371 4
 
0.2%
35.82778889 4
 
0.2%
35.82801944 4
 
0.2%
35.8234 4
 
0.2%
35.85077222 4
 
0.2%
35.8597499 4
 
0.2%
35.82555833 4
 
0.2%
35.8217574 4
 
0.2%
35.84793 4
 
0.2%
Other values (1530) 2077
98.0%
ValueCountFrequency (%)
35.79084167 1
 
< 0.1%
35.791525 1
 
< 0.1%
35.79415278 1
 
< 0.1%
35.79566389 1
 
< 0.1%
35.7956966 1
 
< 0.1%
35.7959 1
 
< 0.1%
35.7969419 2
0.1%
35.7971303 1
 
< 0.1%
35.7980822 2
0.1%
35.79814167 3
0.1%
ValueCountFrequency (%)
35.86425 3
0.1%
35.86388889 1
 
< 0.1%
35.86348889 1
 
< 0.1%
35.86275833 1
 
< 0.1%
35.86266111 1
 
< 0.1%
35.86251667 1
 
< 0.1%
35.86235833 1
 
< 0.1%
35.86234722 1
 
< 0.1%
35.8623013 3
0.1%
35.8620662 2
0.1%

경도
Real number (ℝ)

Distinct1478
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53388
Minimum128.47236
Maximum128.57416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.8 KiB
2023-12-12T15:57:04.540736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47236
5-th percentile128.49397
Q1128.52153
median128.53627
Q3128.54904
95-th percentile128.56863
Maximum128.57416
Range0.1018
Interquartile range (IQR)0.02750815

Descriptive statistics

Standard deviation0.021087019
Coefficient of variation (CV)0.00016405805
Kurtosis0.12301832
Mean128.53388
Median Absolute Deviation (MAD)0.0135032
Skewness-0.56974933
Sum272491.83
Variance0.00044466235
MonotonicityNot monotonic
2023-12-12T15:57:04.797570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5523222 6
 
0.3%
128.5527444 5
 
0.2%
128.544725 5
 
0.2%
128.5514333 5
 
0.2%
128.5320472 5
 
0.2%
128.5147694 5
 
0.2%
128.5526889 4
 
0.2%
128.5366062 4
 
0.2%
128.5475444 4
 
0.2%
128.5553923 4
 
0.2%
Other values (1468) 2073
97.8%
ValueCountFrequency (%)
128.4723639 1
 
< 0.1%
128.4733944 1
 
< 0.1%
128.47375 2
0.1%
128.4743944 3
0.1%
128.4748167 1
 
< 0.1%
128.4749797 3
0.1%
128.4761722 4
0.2%
128.4768349 1
 
< 0.1%
128.4772722 1
 
< 0.1%
128.4775389 1
 
< 0.1%
ValueCountFrequency (%)
128.5741639 1
< 0.1%
128.5740972 1
< 0.1%
128.5738528 1
< 0.1%
128.5738409 2
0.1%
128.5737861 1
< 0.1%
128.573786 1
< 0.1%
128.5735861 1
< 0.1%
128.5734742 1
< 0.1%
128.5734306 1
< 0.1%
128.5734194 1
< 0.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
대구광역시 달서구청
2120 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 달서구청 2120
100.0%

Length

2023-12-12T15:57:04.961572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:05.069894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 2120
50.0%
달서구청 2120
50.0%

소재지도로명주소
Text

Distinct1475
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2023-12-12T15:57:05.397738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length18.934906
Min length10

Characters and Unicode

Total characters40142
Distinct characters108
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1093 ?
Unique (%)51.6%

Sample

1st row대구광역시 달서구 두류남길 60
2nd row대구광역시 달서구 본리서3길 5
3rd row대구광역시 달서구 호산동로36북길 60
4th row대구광역시 달서구 월배로68길 48
5th row대구광역시 달서구 진천로 46
ValueCountFrequency (%)
대구광역시 2120
25.4%
달서구 2120
25.4%
14 42
 
0.5%
17 34
 
0.4%
12 34
 
0.4%
11 34
 
0.4%
15 32
 
0.4%
7 30
 
0.4%
13 28
 
0.3%
도원동 27
 
0.3%
Other values (1198) 3861
46.2%
2023-12-12T15:57:05.992043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6378
15.9%
구 4392
 
10.9%
대 2310
 
5.8%
서 2288
 
5.7%
달 2245
 
5.6%
광 2120
 
5.3%
역 2120
 
5.3%
시 2120
 
5.3%
1 1598
 
4.0%
로 1511
 
3.8%
Other values (98) 13060
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25521
63.6%
Decimal Number 7720
 
19.2%
Space Separator 6378
 
15.9%
Dash Punctuation 522
 
1.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4392
17.2%
대 2310
9.1%
서 2288
9.0%
달 2245
8.8%
광 2120
8.3%
역 2120
8.3%
시 2120
8.3%
로 1511
 
5.9%
길 1381
 
5.4%
동 420
 
1.6%
Other values (85) 4614
18.1%
Decimal Number
ValueCountFrequency (%)
1 1598
20.7%
2 1036
13.4%
3 950
12.3%
4 787
10.2%
5 713
9.2%
6 596
 
7.7%
7 560
 
7.3%
9 508
 
6.6%
0 493
 
6.4%
8 479
 
6.2%
Space Separator
ValueCountFrequency (%)
6378
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 522
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25521
63.6%
Common 14621
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4392
17.2%
대 2310
9.1%
서 2288
9.0%
달 2245
8.8%
광 2120
8.3%
역 2120
8.3%
시 2120
8.3%
로 1511
 
5.9%
길 1381
 
5.4%
동 420
 
1.6%
Other values (85) 4614
18.1%
Common
ValueCountFrequency (%)
6378
43.6%
1 1598
 
10.9%
2 1036
 
7.1%
3 950
 
6.5%
4 787
 
5.4%
5 713
 
4.9%
6 596
 
4.1%
7 560
 
3.8%
- 522
 
3.6%
9 508
 
3.5%
Other values (3) 973
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25521
63.6%
ASCII 14621
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6378
43.6%
1 1598
 
10.9%
2 1036
 
7.1%
3 950
 
6.5%
4 787
 
5.4%
5 713
 
4.9%
6 596
 
4.1%
7 560
 
3.8%
- 522
 
3.6%
9 508
 
3.5%
Other values (3) 973
 
6.7%
Hangul
ValueCountFrequency (%)
구 4392
17.2%
대 2310
9.1%
서 2288
9.0%
달 2245
8.8%
광 2120
8.3%
역 2120
8.3%
시 2120
8.3%
로 1511
 
5.9%
길 1381
 
5.4%
동 420
 
1.6%
Other values (85) 4614
18.1%

소재지지번주소
Text

Distinct1522
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2023-12-12T15:57:06.498987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length19.37217
Min length16

Characters and Unicode

Total characters41069
Distinct characters60
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1122 ?
Unique (%)52.9%

Sample

1st row대구광역시 달서구 두류동 804-141
2nd row대구광역시 달서구 본리동 1210-1
3rd row대구광역시 달서구 호산동 357-41
4th row대구광역시 달서구 송현1동 798-321
5th row대구광역시 달서구 진천동 503
ValueCountFrequency (%)
대구광역시 2120
25.0%
달서구 2120
25.0%
두류동 154
 
1.8%
성당동 142
 
1.7%
감삼동 125
 
1.5%
송현동 121
 
1.4%
장기동 114
 
1.3%
상인동 111
 
1.3%
진천동 109
 
1.3%
신당동 104
 
1.2%
Other values (1508) 3267
38.5%
2023-12-12T15:57:07.110874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6370
15.5%
구 4240
 
10.3%
1 2364
 
5.8%
대 2199
 
5.4%
광 2120
 
5.2%
역 2120
 
5.2%
시 2120
 
5.2%
달 2120
 
5.2%
서 2120
 
5.2%
동 2120
 
5.2%
Other values (50) 13176
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23286
56.7%
Decimal Number 9718
23.7%
Space Separator 6370
 
15.5%
Dash Punctuation 1676
 
4.1%
Other Punctuation 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4240
18.2%
대 2199
9.4%
광 2120
9.1%
역 2120
9.1%
시 2120
9.1%
달 2120
9.1%
서 2120
9.1%
동 2120
9.1%
당 248
 
1.1%
현 242
 
1.0%
Other values (37) 3637
15.6%
Decimal Number
ValueCountFrequency (%)
1 2364
24.3%
2 1266
13.0%
3 920
 
9.5%
4 884
 
9.1%
5 844
 
8.7%
6 708
 
7.3%
9 701
 
7.2%
8 695
 
7.2%
0 678
 
7.0%
7 658
 
6.8%
Space Separator
ValueCountFrequency (%)
6370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1676
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23286
56.7%
Common 17783
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4240
18.2%
대 2199
9.4%
광 2120
9.1%
역 2120
9.1%
시 2120
9.1%
달 2120
9.1%
서 2120
9.1%
동 2120
9.1%
당 248
 
1.1%
현 242
 
1.0%
Other values (37) 3637
15.6%
Common
ValueCountFrequency (%)
6370
35.8%
1 2364
 
13.3%
- 1676
 
9.4%
2 1266
 
7.1%
3 920
 
5.2%
4 884
 
5.0%
5 844
 
4.7%
6 708
 
4.0%
9 701
 
3.9%
8 695
 
3.9%
Other values (3) 1355
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23286
56.7%
ASCII 17783
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6370
35.8%
1 2364
 
13.3%
- 1676
 
9.4%
2 1266
 
7.1%
3 920
 
5.2%
4 884
 
5.0%
5 844
 
4.7%
6 708
 
4.0%
9 701
 
3.9%
8 695
 
3.9%
Other values (3) 1355
 
7.6%
Hangul
ValueCountFrequency (%)
구 4240
18.2%
대 2199
9.4%
광 2120
9.1%
역 2120
9.1%
시 2120
9.1%
달 2120
9.1%
서 2120
9.1%
동 2120
9.1%
당 248
 
1.1%
현 242
 
1.0%
Other values (37) 3637
15.6%

설치목적구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
생활안전
1479 
어린이보호
383 
도시공원
258 

Length

Max length5
Median length4
Mean length4.1806604
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활안전
2nd row생활안전
3rd row생활안전
4th row생활안전
5th row어린이보호

Common Values

ValueCountFrequency (%)
생활안전 1479
69.8%
어린이보호 383
 
18.1%
도시공원 258
 
12.2%

Length

2023-12-12T15:57:07.262637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:07.376897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활안전 1479
69.8%
어린이보호 383
 
18.1%
도시공원 258
 
12.2%

카메라대수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
1
2120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 2120
100.0%

Length

2023-12-12T15:57:07.490404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:07.609531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2120
100.0%

카메라화소수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
200
2110 
800
 
10

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 2110
99.5%
800 10
 
0.5%

Length

2023-12-12T15:57:07.704000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:07.795637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 2110
99.5%
800 10
 
0.5%

촬영방면정보
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
회전
1081 
고정
1039 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row회전
2nd row회전
3rd row회전
4th row회전
5th row고정

Common Values

ValueCountFrequency (%)
회전 1081
51.0%
고정 1039
49.0%

Length

2023-12-12T15:57:07.904748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:08.019366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회전 1081
51.0%
고정 1039
49.0%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
30
2120 

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 2120
100.0%

Length

2023-12-12T15:57:08.144941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:08.260111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 2120
100.0%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.7146
Minimum2013
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.8 KiB
2023-12-12T15:57:08.359335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2014
Q12015
median2020
Q32022
95-th percentile2022
Maximum2022
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation2.9974306
Coefficient of variation (CV)0.0014848214
Kurtosis-1.4429004
Mean2018.7146
Median Absolute Deviation (MAD)2
Skewness-0.33898639
Sum4279675
Variance8.9845902
MonotonicityNot monotonic
2023-12-12T15:57:08.791939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2022 573
27.0%
2015 381
18.0%
2021 333
15.7%
2020 188
 
8.9%
2017 183
 
8.6%
2014 133
 
6.3%
2018 131
 
6.2%
2016 78
 
3.7%
2019 77
 
3.6%
2013 43
 
2.0%
ValueCountFrequency (%)
2013 43
 
2.0%
2014 133
 
6.3%
2015 381
18.0%
2016 78
 
3.7%
2017 183
 
8.6%
2018 131
 
6.2%
2019 77
 
3.6%
2020 188
 
8.9%
2021 333
15.7%
2022 573
27.0%
ValueCountFrequency (%)
2022 573
27.0%
2021 333
15.7%
2020 188
 
8.9%
2019 77
 
3.6%
2018 131
 
6.2%
2017 183
 
8.6%
2016 78
 
3.7%
2015 381
18.0%
2014 133
 
6.3%
2013 43
 
2.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
053-667-3900
2120 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-667-3900
2nd row053-667-3900
3rd row053-667-3900
4th row053-667-3900
5th row053-667-3900

Common Values

ValueCountFrequency (%)
053-667-3900 2120
100.0%

Length

2023-12-12T15:57:08.917831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:09.040967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-3900 2120
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
안전도시과
2120 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전도시과 2120
100.0%

Length

2023-12-12T15:57:09.145557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:09.247870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전도시과 2120
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T15:57:09.340181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:09.448925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:57:03.340518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:02.667705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:03.006664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:03.455792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:02.767573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:03.129858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:03.564183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:02.893253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:03.240324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:57:09.520971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치목적구분카메라화소수촬영방면정보설치연도
위도1.0000.6620.1680.0000.1230.227
경도0.6621.0000.2330.0000.1140.221
설치목적구분0.1680.2331.0000.0050.1050.660
카메라화소수0.0000.0000.0051.0000.0930.107
촬영방면정보0.1230.1140.1050.0931.0000.865
설치연도0.2270.2210.6600.1070.8651.000
2023-12-12T15:57:09.624817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
촬영방면정보카메라화소수설치목적구분
촬영방면정보1.0000.0600.175
카메라화소수0.0601.0000.009
설치목적구분0.1750.0091.000
2023-12-12T15:57:09.738660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치연도설치목적구분카메라화소수촬영방면정보
위도1.000-0.121-0.0500.1010.0000.094
경도-0.1211.000-0.0230.1430.0040.088
설치연도-0.050-0.0231.0000.3740.1050.895
설치목적구분0.1010.1430.3741.0000.0090.175
카메라화소수0.0000.0040.1050.0091.0000.060
촬영방면정보0.0940.0880.8950.1750.0601.000

Missing values

2023-12-12T15:57:03.721691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:57:03.977639image/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

위도경도관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연도관리기관전화번호관리부서기준일자
035.857225128.571289대구광역시 달서구청대구광역시 달서구 두류남길 60대구광역시 달서구 두류동 804-141생활안전1200회전302015053-667-3900안전도시과2022-12-31
135.839547128.529792대구광역시 달서구청대구광역시 달서구 본리서3길 5대구광역시 달서구 본리동 1210-1생활안전1200회전302015053-667-3900안전도시과2022-12-31
235.851494128.488028대구광역시 달서구청대구광역시 달서구 호산동로36북길 60대구광역시 달서구 호산동 357-41생활안전1200회전302015053-667-3900안전도시과2022-12-31
335.824289128.549203대구광역시 달서구청대구광역시 달서구 월배로68길 48대구광역시 달서구 송현1동 798-321생활안전1200회전302020053-667-3900안전도시과2022-12-31
435.813222128.525281대구광역시 달서구청대구광역시 달서구 진천로 46대구광역시 달서구 진천동 503어린이보호1200고정302020053-667-3900안전도시과2022-12-31
535.85645128.546511대구광역시 달서구청대구광역시 달서구 당산로45길 17대구광역시 달서구 감삼동 31-5생활안전1200회전302015053-667-3900안전도시과2022-12-31
635.855578128.5452대구광역시 달서구청대구광역시 달서구 죽전4길 95대구광역시 달서구 감삼동 32-34생활안전1200회전302015053-667-3900안전도시과2022-12-31
735.855506128.541967대구광역시 달서구청대구광역시 달서구 달구벌대로323길 68대구광역시 달서구 감삼동 35-1생활안전1200회전302015053-667-3900안전도시과2022-12-31
835.854864128.541878대구광역시 달서구청대구광역시 달서구 달구벌대로323길 55대구광역시 달서구 감삼동 37-25생활안전1200회전302015053-667-3900안전도시과2022-12-31
935.853494128.5422대구광역시 달서구청대구광역시 달서구 달구벌대로323길 23대구광역시 달서구 감삼동 44-15생활안전1200회전302015053-667-3900안전도시과2022-12-31
위도경도관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연도관리기관전화번호관리부서기준일자
211035.806211128.511917대구광역시 달서구청대구광역시 달서구 대곡동 산 154-1대구광역시 달서구 대곡동 산 154-1생활안전1200고정302022053-667-3900안전도시과2022-12-31
211135.806211128.511917대구광역시 달서구청대구광역시 달서구 대곡동 산 154-1대구광역시 달서구 대곡동 산 154-1생활안전1200고정302022053-667-3900안전도시과2022-12-31
211235.850397128.55292대구광역시 달서구청대구광역시 달서구 야외음악당로 153대구광역시 달서구 두류3동 640-1생활안전1200고정302022053-667-3900안전도시과2022-12-31
211335.850613128.553482대구광역시 달서구청대구광역시 달서구 야외음악당로 153대구광역시 달서구 두류3동 640-1생활안전1200고정302022053-667-3900안전도시과2022-12-31
211435.850613128.553482대구광역시 달서구청대구광역시 달서구 야외음악당로 153대구광역시 달서구 두류3동 640-1생활안전1200고정302022053-667-3900안전도시과2022-12-31
211535.851762128.546011대구광역시 달서구청대구광역시 달서구 감삼북길 51-71대구광역시 달서구 감삼동 115-47생활안전1200고정302022053-667-3900안전도시과2022-12-31
211635.851762128.546011대구광역시 달서구청대구광역시 달서구 감삼북길 51-71대구광역시 달서구 감삼동 115-47생활안전1200고정302022053-667-3900안전도시과2022-12-31
211735.811897128.511868대구광역시 달서구청대구광역시 달서구 달서대로 39대구광역시 달서구 유천동 327-1어린이보호1200고정302022053-667-3900안전도시과2022-12-31
211835.811897128.511868대구광역시 달서구청대구광역시 달서구 달서대로 39대구광역시 달서구 유천동 327-1어린이보호1200고정302022053-667-3900안전도시과2022-12-31
211935.811897128.511868대구광역시 달서구청대구광역시 달서구 달서대로 39대구광역시 달서구 유천동 327-1어린이보호1200고정302020053-667-3900안전도시과2022-12-31

Duplicate rows

Most frequently occurring

위도경도관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연도관리기관전화번호관리부서기준일자# duplicates
6635.813925128.537192대구광역시 달서구청대구광역시 달서구 월곡로47길 68대구광역시 달서구 상인2동 1426-8생활안전1200고정302022053-667-3900안전도시과2022-12-314
7635.815197128.548203대구광역시 달서구청대구광역시 달서구 상화북로43길 5대구광역시 달서구 상인1동 1546생활안전1200고정302022053-667-3900안전도시과2022-12-314
9535.818371128.525402대구광역시 달서구청대구광역시 달서구 월배로23길 80대구광역시 달서구 대천동 571-3생활안전1200고정302021053-667-3900안전도시과2022-12-314
10235.821757128.54978대구광역시 달서구청대구광역시 달서구 송현로4길 10대구광역시 달서구 송현1동 1950생활안전1200고정302021053-667-3900안전도시과2022-12-314
10335.822027128.516997대구광역시 달서구청대구광역시 달서구 월암동 1163대구광역시 달서구 월암동 1163도시공원1200고정302021053-667-3900안전도시과2022-12-314
10935.8234128.552689대구광역시 달서구청대구광역시 달서구 송현로2길 71대구광역시 달서구 송현1동 1967-28생활안전1200고정302022053-667-3900안전도시과2022-12-314
11535.824813128.526952대구광역시 달서구청대구광역시 달서구 월성동 616대구광역시 달서구 월성동 616어린이보호1200고정302021053-667-3900안전도시과2022-12-314
11635.825558128.552744대구광역시 달서구청대구광역시 달서구 월배로74길 82대구광역시 달서구 송현1동 1964-17어린이보호1200고정302022053-667-3900안전도시과2022-12-314
12235.827789128.547836대구광역시 달서구청대구광역시 달서구 월배로73길 12대구광역시 달서구 송현동 1927-9생활안전1200고정302021053-667-3900안전도시과2022-12-314
12635.828019128.529008대구광역시 달서구청대구광역시 달서구 월곡로 410대구광역시 달서구 월성동 87도시공원1200고정302022053-667-3900안전도시과2022-12-314