Overview

Dataset statistics

Number of variables13
Number of observations1808
Missing cells333
Missing cells (%)1.4%
Duplicate rows111
Duplicate rows (%)6.1%
Total size in memory192.6 KiB
Average record size in memory109.1 B

Variable types

Categorical9
Text2
Numeric2

Dataset

Description영천시에 있는 CCTV 관리기관명, 소재지도로명주소, 설치목적구분, 설치연월, 관리기관전화번호 등을 제공하고 있습니다.
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15110194/fileData.do

Alerts

관리기관명 has constant value ""Constant
카메라대수 has constant value ""Constant
보관일수 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 111 (6.1%) duplicate rowsDuplicates
설치연월 is highly overall correlated with 설치목적구분 and 1 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 설치연월High correlation
설치목적구분 is highly overall correlated with 설치연월High correlation
설치목적구분 is highly imbalanced (66.4%)Imbalance
카메라화소수 is highly imbalanced (92.0%)Imbalance
관리기관전화번호 is highly imbalanced (96.8%)Imbalance
소재지도로명주소 has 333 (18.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:47:05.266826
Analysis finished2023-12-12 06:47:06.883805
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
영천시청
1808 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영천시청 1808
100.0%

Length

2023-12-12T15:47:06.957316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:07.064579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영천시청 1808
100.0%

소재지도로명주소
Text

MISSING 

Distinct444
Distinct (%)30.1%
Missing333
Missing (%)18.4%
Memory size14.3 KiB
2023-12-12T15:47:07.352496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length19.145085
Min length1

Characters and Unicode

Total characters28239
Distinct characters245
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)6.2%

Sample

1st row경상북도 영천시 교촌동 왕평길
2nd row경상북도 영천시 교촌동 왕평길
3rd row경상북도 영천시 교촌동 왕평길
4th row경상북도 영천시 교촌동 왕평길
5th row경상북도 영천시 교촌동 왕평길
ValueCountFrequency (%)
영천시 1441
21.6%
경상북도 1437
21.6%
완산동 133
 
2.0%
야사동 116
 
1.7%
문외동 107
 
1.6%
금호읍 105
 
1.6%
망정동 72
 
1.1%
호국로 70
 
1.0%
고경면 60
 
0.9%
임고면 59
 
0.9%
Other values (549) 3067
46.0%
2023-12-12T15:47:07.832575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5226
18.5%
천 1611
 
5.7%
북 1538
 
5.4%
경 1515
 
5.4%
도 1510
 
5.3%
상 1501
 
5.3%
영 1492
 
5.3%
시 1482
 
5.2%
동 906
 
3.2%
길 809
 
2.9%
Other values (235) 10649
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20672
73.2%
Space Separator 5260
 
18.6%
Decimal Number 1507
 
5.3%
Open Punctuation 340
 
1.2%
Close Punctuation 340
 
1.2%
Dash Punctuation 95
 
0.3%
Other Punctuation 23
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 1611
 
7.8%
북 1538
 
7.4%
경 1515
 
7.3%
도 1510
 
7.3%
상 1501
 
7.3%
영 1492
 
7.2%
시 1482
 
7.2%
동 906
 
4.4%
길 809
 
3.9%
로 636
 
3.1%
Other values (217) 7672
37.1%
Decimal Number
ValueCountFrequency (%)
1 353
23.4%
2 260
17.3%
4 169
11.2%
3 165
10.9%
5 134
 
8.9%
7 90
 
6.0%
9 88
 
5.8%
8 87
 
5.8%
0 86
 
5.7%
6 75
 
5.0%
Space Separator
ValueCountFrequency (%)
5226
99.4%
　 34
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20672
73.2%
Common 7565
 
26.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 1611
 
7.8%
북 1538
 
7.4%
경 1515
 
7.3%
도 1510
 
7.3%
상 1501
 
7.3%
영 1492
 
7.2%
시 1482
 
7.2%
동 906
 
4.4%
길 809
 
3.9%
로 636
 
3.1%
Other values (217) 7672
37.1%
Common
ValueCountFrequency (%)
5226
69.1%
1 353
 
4.7%
( 340
 
4.5%
) 340
 
4.5%
2 260
 
3.4%
4 169
 
2.2%
3 165
 
2.2%
5 134
 
1.8%
- 95
 
1.3%
7 90
 
1.2%
Other values (6) 393
 
5.2%
Latin
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20672
73.2%
ASCII 7533
 
26.7%
None 34
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5226
69.4%
1 353
 
4.7%
( 340
 
4.5%
) 340
 
4.5%
2 260
 
3.5%
4 169
 
2.2%
3 165
 
2.2%
5 134
 
1.8%
- 95
 
1.3%
7 90
 
1.2%
Other values (7) 361
 
4.8%
Hangul
ValueCountFrequency (%)
천 1611
 
7.8%
북 1538
 
7.4%
경 1515
 
7.3%
도 1510
 
7.3%
상 1501
 
7.3%
영 1492
 
7.2%
시 1482
 
7.2%
동 906
 
4.4%
길 809
 
3.9%
로 636
 
3.1%
Other values (217) 7672
37.1%
None
ValueCountFrequency (%)
　 34
100.0%

소재지지번주소
Text

Distinct624
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2023-12-12T15:47:08.148120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length39
Mean length28.357854
Min length15

Characters and Unicode

Total characters51271
Distinct characters366
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

Unique132 ?
Unique (%)7.3%

Sample

1st row경상북도 영천시 교촌동 197-2 (태평맨션)
2nd row경상북도 영천시 교촌동 197-2 (태평맨션)
3rd row경상북도 영천시 교촌동 197-2 (태평맨션)
4th row경상북도 영천시 교촌동 197-2 (태평맨션)
5th row경상북도 영천시 교촌동 197-2 (태평맨션)
ValueCountFrequency (%)
경상북도 1808
 
16.9%
영천시 1808
 
16.9%
앞 369
 
3.5%
완산동 147
 
1.4%
야사동 144
 
1.3%
금호읍 131
 
1.2%
망정동 129
 
1.2%
입구 123
 
1.2%
삼거리 121
 
1.1%
문외동 118
 
1.1%
Other values (1242) 5783
54.1%
2023-12-12T15:47:08.728388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8883
 
17.3%
천 2101
 
4.1%
영 2005
 
3.9%
북 1942
 
3.8%
경 1939
 
3.8%
도 1903
 
3.7%
시 1864
 
3.6%
상 1855
 
3.6%
1 1540
 
3.0%
- 1503
 
2.9%
Other values (356) 25736
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30402
59.3%
Space Separator 8883
 
17.3%
Decimal Number 7466
 
14.6%
Dash Punctuation 1503
 
2.9%
Close Punctuation 1451
 
2.8%
Open Punctuation 1450
 
2.8%
Uppercase Letter 76
 
0.1%
Other Punctuation 39
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 2101
 
6.9%
영 2005
 
6.6%
북 1942
 
6.4%
경 1939
 
6.4%
도 1903
 
6.3%
시 1864
 
6.1%
상 1855
 
6.1%
리 1302
 
4.3%
동 1198
 
3.9%
면 644
 
2.1%
Other values (328) 13649
44.9%
Decimal Number
ValueCountFrequency (%)
1 1540
20.6%
2 1048
14.0%
3 784
10.5%
4 703
9.4%
5 679
9.1%
6 609
 
8.2%
9 562
 
7.5%
8 546
 
7.3%
0 518
 
6.9%
7 477
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
C 25
32.9%
I 16
21.1%
U 9
 
11.8%
K 6
 
7.9%
T 6
 
7.9%
S 6
 
7.9%
G 5
 
6.6%
N 1
 
1.3%
P 1
 
1.3%
J 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 33
84.6%
. 3
 
7.7%
/ 3
 
7.7%
Space Separator
ValueCountFrequency (%)
8883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1503
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1451
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1450
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30403
59.3%
Common 20792
40.6%
Latin 76
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 2101
 
6.9%
영 2005
 
6.6%
북 1942
 
6.4%
경 1939
 
6.4%
도 1903
 
6.3%
시 1864
 
6.1%
상 1855
 
6.1%
리 1302
 
4.3%
동 1198
 
3.9%
면 644
 
2.1%
Other values (329) 13650
44.9%
Common
ValueCountFrequency (%)
8883
42.7%
1 1540
 
7.4%
- 1503
 
7.2%
) 1451
 
7.0%
( 1450
 
7.0%
2 1048
 
5.0%
3 784
 
3.8%
4 703
 
3.4%
5 679
 
3.3%
6 609
 
2.9%
Other values (7) 2142
 
10.3%
Latin
ValueCountFrequency (%)
C 25
32.9%
I 16
21.1%
U 9
 
11.8%
K 6
 
7.9%
T 6
 
7.9%
S 6
 
7.9%
G 5
 
6.6%
N 1
 
1.3%
P 1
 
1.3%
J 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30402
59.3%
ASCII 20868
40.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8883
42.6%
1 1540
 
7.4%
- 1503
 
7.2%
) 1451
 
7.0%
( 1450
 
6.9%
2 1048
 
5.0%
3 784
 
3.8%
4 703
 
3.4%
5 679
 
3.3%
6 609
 
2.9%
Other values (17) 2218
 
10.6%
Hangul
ValueCountFrequency (%)
천 2101
 
6.9%
영 2005
 
6.6%
북 1942
 
6.4%
경 1939
 
6.4%
도 1903
 
6.3%
시 1864
 
6.1%
상 1855
 
6.1%
리 1302
 
4.3%
동 1198
 
3.9%
면 644
 
2.1%
Other values (328) 13649
44.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

설치목적구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
생활방범
1594 
교통단속
 
121
어린이보호
 
79
재난재해
 
14

Length

Max length5
Median length4
Mean length4.0436947
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활방범 1594
88.2%
교통단속 121
 
6.7%
어린이보호 79
 
4.4%
재난재해 14
 
0.8%

Length

2023-12-12T15:47:08.895908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:09.020572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활방범 1594
88.2%
교통단속 121
 
6.7%
어린이보호 79
 
4.4%
재난재해 14
 
0.8%

카메라대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
1
1808 

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 1808
100.0%

Length

2023-12-12T15:47:09.143818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:09.257487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1808
100.0%

카메라화소수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
200
1790 
130
 
18

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 1790
99.0%
130 18
 
1.0%

Length

2023-12-12T15:47:09.416070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:09.539534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 1790
99.0%
130 18
 
1.0%

촬영방면정보
Categorical

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
360도전방면
297 
정북
260 
남동
250 
북동
232 
정동
227 
Other values (5)
542 

Length

Max length7
Median length2
Mean length2.8213496
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row360도전방면
2nd row정동
3rd row정북
4th row남동
5th row북동

Common Values

ValueCountFrequency (%)
360도전방면 297
16.4%
정북 260
14.4%
남동 250
13.8%
북동 232
12.8%
정동 227
12.6%
정남 176
9.7%
정서 141
7.8%
북서 116
 
6.4%
남서 104
 
5.8%
북남 5
 
0.3%

Length

2023-12-12T15:47:09.662945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:09.818712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
360도전방면 297
16.4%
정북 260
14.4%
남동 250
13.8%
북동 232
12.8%
정동 227
12.6%
정남 176
9.7%
정서 141
7.8%
북서 116
 
6.4%
남서 104
 
5.8%
북남 5
 
0.3%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
30
1808 

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 1808
100.0%

Length

2023-12-12T15:47:09.952825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:10.065226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 1808
100.0%

설치연월
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2020-06
280 
2021-06
210 
2022-09
200 
2018-08
184 
2017-06
105 
Other values (44)
829 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row2016-12
2nd row2018-05
3rd row2018-05
4th row2018-05
5th row2018-05

Common Values

ValueCountFrequency (%)
2020-06 280
15.5%
2021-06 210
11.6%
2022-09 200
11.1%
2018-08 184
10.2%
2017-06 105
 
5.8%
2019-10 104
 
5.8%
2019-08 89
 
4.9%
2018-05 63
 
3.5%
2016-12 60
 
3.3%
2015-06 54
 
3.0%
Other values (39) 459
25.4%

Length

2023-12-12T15:47:10.163849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-06 280
15.5%
2021-06 210
11.6%
2022-09 200
11.1%
2018-08 184
10.2%
2017-06 105
 
5.8%
2019-10 104
 
5.8%
2019-08 89
 
4.9%
2018-05 63
 
3.5%
2016-12 60
 
3.3%
2015-06 54
 
3.0%
Other values (39) 459
25.4%

관리기관전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
054-330-6663
1802 
054-330-6889
 
6

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-330-6663
2nd row054-330-6663
3rd row054-330-6663
4th row054-330-6663
5th row054-330-6663

Common Values

ValueCountFrequency (%)
054-330-6663 1802
99.7%
054-330-6889 6
 
0.3%

Length

2023-12-12T15:47:10.294794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:10.432783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-330-6663 1802
99.7%
054-330-6889 6
 
0.3%

위도
Real number (ℝ)

Distinct582
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.977385
Minimum35.849624
Maximum36.152568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2023-12-12T15:47:10.545282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.849624
5-th percentile35.896963
Q135.961041
median35.972227
Q335.990007
95-th percentile36.060554
Maximum36.152568
Range0.3029443
Interquartile range (IQR)0.0289659

Descriptive statistics

Standard deviation0.048446019
Coefficient of variation (CV)0.0013465686
Kurtosis1.3255148
Mean35.977385
Median Absolute Deviation (MAD)0.01402825
Skewness0.49211791
Sum65047.112
Variance0.0023470167
MonotonicityNot monotonic
2023-12-12T15:47:10.690643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9728777 15
 
0.8%
35.976567 15
 
0.8%
35.9775638 14
 
0.8%
36.0287239 14
 
0.8%
35.9900069 13
 
0.7%
35.9668798 12
 
0.7%
35.97457 12
 
0.7%
35.984388 11
 
0.6%
35.963152 10
 
0.6%
35.9328657 10
 
0.6%
Other values (572) 1682
93.0%
ValueCountFrequency (%)
35.8496241 3
0.2%
35.8516261 4
0.2%
35.8624982 4
0.2%
35.8626359 3
0.2%
35.862792 1
 
0.1%
35.8638849 1
 
0.1%
35.864251 6
0.3%
35.8643661 1
 
0.1%
35.8645933 2
 
0.1%
35.8651033 5
0.3%
ValueCountFrequency (%)
36.1525684 2
0.1%
36.1383981 2
0.1%
36.1380222 1
 
0.1%
36.1371117 4
0.2%
36.1359346 1
 
0.1%
36.135707 1
 
0.1%
36.1327414 2
0.1%
36.1213884 4
0.2%
36.118243 2
0.1%
36.117219 4
0.2%

경도
Real number (ℝ)

Distinct583
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.92916
Minimum128.71313
Maximum129.13334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2023-12-12T15:47:11.079356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.71313
5-th percentile128.81403
Q1128.91781
median128.93512
Q3128.95152
95-th percentile129.01144
Maximum129.13334
Range0.4202142
Interquartile range (IQR)0.033706625

Descriptive statistics

Standard deviation0.05631596
Coefficient of variation (CV)0.00043679771
Kurtosis2.6022188
Mean128.92916
Median Absolute Deviation (MAD)0.01663915
Skewness-0.5153259
Sum233103.91
Variance0.0031714873
MonotonicityNot monotonic
2023-12-12T15:47:11.191947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9365352 15
 
0.8%
128.944238 15
 
0.8%
128.9600558 14
 
0.8%
128.9311509 14
 
0.8%
128.9571578 13
 
0.7%
128.942545 12
 
0.7%
128.9313255 12
 
0.7%
128.9517549 11
 
0.6%
128.9215331 10
 
0.6%
128.8783035 10
 
0.6%
Other values (573) 1682
93.0%
ValueCountFrequency (%)
128.7131275 1
 
0.1%
128.71789 2
 
0.1%
128.7187351 3
0.2%
128.7296306 1
 
0.1%
128.737133 4
0.2%
128.74297 7
0.4%
128.7524702 2
 
0.1%
128.753367 2
 
0.1%
128.7601239 1
 
0.1%
128.7623393 2
 
0.1%
ValueCountFrequency (%)
129.1333417 2
0.1%
129.1311189 1
 
0.1%
129.115817 1
 
0.1%
129.1116436 2
0.1%
129.1058196 3
0.2%
129.1041173 3
0.2%
129.0986641 3
0.2%
129.0957722 1
 
0.1%
129.094158 4
0.2%
129.090057 2
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2022-11-29
1808 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-29
2nd row2022-11-29
3rd row2022-11-29
4th row2022-11-29
5th row2022-11-29

Common Values

ValueCountFrequency (%)
2022-11-29 1808
100.0%

Length

2023-12-12T15:47:11.297096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:47:11.374909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-29 1808
100.0%

Interactions

2023-12-12T15:47:06.368741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:06.151700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:06.471055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:06.273547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:47:11.427462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치목적구분카메라화소수촬영방면정보설치연월관리기관전화번호위도경도
설치목적구분1.0000.1220.2070.9270.0000.2490.249
카메라화소수0.1221.0000.0000.4400.0000.1080.070
촬영방면정보0.2070.0001.0000.3030.1230.2400.186
설치연월0.9270.4400.3031.0001.0000.6800.601
관리기관전화번호0.0000.0000.1231.0001.0000.0270.000
위도0.2490.1080.2400.6800.0271.0000.764
경도0.2490.0700.1860.6010.0000.7641.000
2023-12-12T15:47:11.519436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연월카메라화소수설치목적구분관리기관전화번호촬영방면정보
설치연월1.0000.3620.7380.9870.106
카메라화소수0.3621.0000.0810.0000.000
설치목적구분0.7380.0811.0000.0000.125
관리기관전화번호0.9870.0000.0001.0000.094
촬영방면정보0.1060.0000.1250.0941.000
2023-12-12T15:47:11.608360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치목적구분카메라화소수촬영방면정보설치연월관리기관전화번호
위도1.0000.0260.1510.0820.0760.3010.021
경도0.0261.0000.1530.0540.0580.2490.000
설치목적구분0.1510.1531.0000.0810.1250.7380.000
카메라화소수0.0820.0540.0811.0000.0000.3620.000
촬영방면정보0.0760.0580.1250.0001.0000.1060.094
설치연월0.3010.2490.7380.3620.1061.0000.987
관리기관전화번호0.0210.0000.0000.0000.0940.9871.000

Missing values

2023-12-12T15:47:06.602470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:47:06.785939image/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

관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연월관리기관전화번호위도경도데이터기준일자
0영천시청경상북도 영천시 교촌동 왕평길경상북도 영천시 교촌동 197-2 (태평맨션)생활방범1200360도전방면302016-12054-330-666335.966478128.9276042022-11-29
1영천시청경상북도 영천시 교촌동 왕평길경상북도 영천시 교촌동 197-2 (태평맨션)생활방범1200정동302018-05054-330-666335.966478128.9276042022-11-29
2영천시청경상북도 영천시 교촌동 왕평길경상북도 영천시 교촌동 197-2 (태평맨션)생활방범1200정북302018-05054-330-666335.966478128.9276042022-11-29
3영천시청경상북도 영천시 교촌동 왕평길경상북도 영천시 교촌동 197-2 (태평맨션)생활방범1200남동302018-05054-330-666335.966478128.9276042022-11-29
4영천시청경상북도 영천시 교촌동 왕평길경상북도 영천시 교촌동 197-2 (태평맨션)생활방범1200북동302018-05054-330-666335.966478128.9276042022-11-29
5영천시청경상북도 영천시 사직단길 6 (교촌동)경상북도 영천시 교촌동 52-8 (오거리)생활방범1200360도전방면302012-06054-330-666335.968998128.9278452022-11-29
6영천시청경상북도 영천시 사직단길 6 (교촌동)경상북도 영천시 교촌동 52-8 (오거리)생활방범1200정동302013-02054-330-666335.968998128.9278452022-11-29
7영천시청경상북도 영천시 사직단길 6 (교촌동)경상북도 영천시 교촌동 52-8 (오거리)생활방범1200정북302013-02054-330-666335.968998128.9278452022-11-29
8영천시청경상북도 영천시 사직단길 6 (교촌동)경상북도 영천시 교촌동 52-8 (오거리)생활방범1200남동302013-02054-330-666335.968998128.9278452022-11-29
9영천시청경상북도 영천시 금노동 금단4길경상북도 영천시 금노동 542-19 (담안길 공원 앞)생활방범1200360도전방면302019-10054-330-666335.961131128.9301112022-11-29
관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연월관리기관전화번호위도경도데이터기준일자
1798영천시청<NA>경상북도 영천시 야사동128(나그네 칼국수 부근)생활방범1200남동302020-06054-330-666335.975429128.9468362022-11-29
1799영천시청<NA>경상북도 영천시 망정동 534-2(기동대 사거리)생활방범1200360도전방면302020-06054-330-666335.986676128.9525412022-11-29
1800영천시청<NA>경상북도 영천시 망정동 534-2(기동대 사거리)생활방범1200북동302020-06054-330-666335.986676128.9525412022-11-29
1801영천시청<NA>경상북도 영천시 망정동 534-2(기동대 사거리)생활방범1200북서302020-06054-330-666335.986676128.9525412022-11-29
1802영천시청<NA>경상북도 영천시 망정동 534-2(기동대 사거리)생활방범1200정북302020-06054-330-666335.986676128.9525412022-11-29
1803영천시청<NA>경상북도 영천시 망정동 534-2(기동대 사거리)생활방범1200정동302020-06054-330-666335.986676128.9525412022-11-29
1804영천시청<NA>경상북도 영천시 야사동 334-18(동부동행정복지센터 주변)생활방범1200정서302020-06054-330-666335.97457128.9425452022-11-29
1805영천시청<NA>경상북도 영천시 야사동 334-18(동부동행정복지센터 주변)생활방범1200남서302020-06054-330-666335.97457128.9425452022-11-29
1806영천시청<NA>경상북도 영천시 야사동 334-18(동부동행정복지센터 주변)생활방범1200정남302020-06054-330-666335.97457128.9425452022-11-29
1807영천시청<NA>경상북도 영천시 야사동 334-18(동부동행정복지센터 주변)생활방범1200남동302020-06054-330-666335.97457128.9425452022-11-29

Duplicate rows

Most frequently occurring

관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연월관리기관전화번호위도경도데이터기준일자# duplicates
51영천시청경상북도 영천시 오미동 삼귀길 177경상북도 영천시 오미동 1806 (오미삼거리)생활방범1200정동302021-06054-330-666335.980959128.9215332022-11-294
52영천시청경상북도 영천시 오미동 삼귀길 177경상북도 영천시 오미동 1806 (오미삼거리)생활방범1200정북302021-06054-330-666335.980959128.9215332022-11-294
61영천시청경상북도 영천시 완산동 완산5길경상북도 영천시 완산동 1464 (미소지움 1차 삼거리)생활방범1200남동302019-08054-330-666335.966853128.9439892022-11-294
66영천시청경상북도 영천시 완산동 완산8길경상북도 영천시 완산동 1435 (완산근린공원)생활방범1200남동302021-06054-330-666335.963152128.9421722022-11-294
67영천시청경상북도 영천시 완산동 완산8길경상북도 영천시 완산동 1435 (완산근린공원)생활방범1200정동302021-06054-330-666335.963152128.9421722022-11-294
28영천시청경상북도 영천시 문외동 충효로경상북도 영천시 문외동 50-8 (현대자동차맞은편)생활방범1200360도전방면302019-10054-330-666335.972878128.9365352022-11-293
29영천시청경상북도 영천시 문외동 충효로경상북도 영천시 문외동 50-8 (현대자동차맞은편)생활방범1200남동302019-10054-330-666335.972878128.9365352022-11-293
30영천시청경상북도 영천시 문외동 충효로경상북도 영천시 문외동 50-8 (현대자동차맞은편)생활방범1200남서302019-10054-330-666335.972878128.9365352022-11-293
31영천시청경상북도 영천시 문외동 충효로경상북도 영천시 문외동 50-8 (현대자동차맞은편)생활방범1200북동302019-10054-330-666335.972878128.9365352022-11-293
32영천시청경상북도 영천시 문외동 충효로경상북도 영천시 문외동 50-8 (현대자동차맞은편)생활방범1200정동302019-10054-330-666335.972878128.9365352022-11-293