Overview

Dataset statistics

Number of variables13
Number of observations566
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.4%
Total size in memory60.4 KiB
Average record size in memory109.2 B

Variable types

Categorical8
Text2
Numeric3

Dataset

Description가평군에 설치된 CCTV 정보(관리기관명, 소재지도로명주소, 소재지지번주소, 설치목적, 카메라대수, 카메라화소수, 촬영방면정보, 보관일수, 설치년월 , 관리기관전화번호, 위도, 경도, 데이터기준일자) 데이터입니다.LOCALDATA(지방행정 인허가 데이터) 사이트 > 생활편의정보 > 생활밀착데이터 > CCTV정보를 통해서 같은 데이터를 받아볼 수 있습니다.(https://www.localdata.go.kr/lif/lifeCtacDataView.do)
Author경기도 가평군
URLhttps://www.data.go.kr/data/15078280/fileData.do

Alerts

관리기관명 has constant value ""Constant
카메라화소수 has constant value ""Constant
보관일수 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 2 (0.4%) duplicate rowsDuplicates
설치목적구분 is highly overall correlated with 촬영방면정보 and 2 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 카메라대수 and 2 other fieldsHigh correlation
카메라대수 is highly overall correlated with 관리기관전화번호High correlation
촬영방면정보 is highly overall correlated with 설치목적구분 and 1 other fieldsHigh correlation
설치년월 is highly overall correlated with 설치목적구분High correlation
촬영방면정보 is highly imbalanced (59.3%)Imbalance

Reproduction

Analysis started2024-05-11 10:28:18.895689
Analysis finished2024-05-11 10:28:25.072157
Duration6.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
경기도 가평군청
566 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 가평군청
2nd row경기도 가평군청
3rd row경기도 가평군청
4th row경기도 가평군청
5th row경기도 가평군청

Common Values

ValueCountFrequency (%)
경기도 가평군청 566
100.0%

Length

2024-05-11T10:28:25.265154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:28:25.590140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 566
50.0%
가평군청 566
50.0%

소재지도로명주소
Text

Distinct91
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-11T10:28:26.126980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length1
Mean length5.4010601
Min length1

Characters and Unicode

Total characters3057
Distinct characters155
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)15.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
경기도 94
 
16.4%
가평군 94
 
16.4%
가평읍 28
 
4.9%
청평면 19
 
3.3%
설악면 16
 
2.8%
북면 14
 
2.4%
조종면 11
 
1.9%
읍내리 11
 
1.9%
청평리 10
 
1.7%
현리 7
 
1.2%
Other values (196) 269
46.9%
2024-05-11T10:28:27.284245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
31.1%
평 154
 
5.0%
가 131
 
4.3%
경 100
 
3.3%
기 96
 
3.1%
도 96
 
3.1%
군 96
 
3.1%
리 96
 
3.1%
, 95
 
3.1%
) 94
 
3.1%
Other values (145) 1147
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1485
48.6%
Space Separator 952
31.1%
Decimal Number 308
 
10.1%
Other Punctuation 95
 
3.1%
Close Punctuation 94
 
3.1%
Open Punctuation 94
 
3.1%
Dash Punctuation 29
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 154
 
10.4%
가 131
 
8.8%
경 100
 
6.7%
기 96
 
6.5%
도 96
 
6.5%
군 96
 
6.5%
리 96
 
6.5%
면 66
 
4.4%
로 66
 
4.4%
읍 39
 
2.6%
Other values (130) 545
36.7%
Decimal Number
ValueCountFrequency (%)
1 64
20.8%
2 43
14.0%
3 28
9.1%
8 27
8.8%
5 27
8.8%
6 26
8.4%
0 26
8.4%
4 25
 
8.1%
7 24
 
7.8%
9 18
 
5.8%
Space Separator
ValueCountFrequency (%)
952
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1572
51.4%
Hangul 1485
48.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 154
 
10.4%
가 131
 
8.8%
경 100
 
6.7%
기 96
 
6.5%
도 96
 
6.5%
군 96
 
6.5%
리 96
 
6.5%
면 66
 
4.4%
로 66
 
4.4%
읍 39
 
2.6%
Other values (130) 545
36.7%
Common
ValueCountFrequency (%)
952
60.6%
, 95
 
6.0%
) 94
 
6.0%
( 94
 
6.0%
1 64
 
4.1%
2 43
 
2.7%
- 29
 
1.8%
3 28
 
1.8%
8 27
 
1.7%
5 27
 
1.7%
Other values (5) 119
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1572
51.4%
Hangul 1485
48.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
60.6%
, 95
 
6.0%
) 94
 
6.0%
( 94
 
6.0%
1 64
 
4.1%
2 43
 
2.7%
- 29
 
1.8%
3 28
 
1.8%
8 27
 
1.7%
5 27
 
1.7%
Other values (5) 119
 
7.6%
Hangul
ValueCountFrequency (%)
평 154
 
10.4%
가 131
 
8.8%
경 100
 
6.7%
기 96
 
6.5%
도 96
 
6.5%
군 96
 
6.5%
리 96
 
6.5%
면 66
 
4.4%
로 66
 
4.4%
읍 39
 
2.6%
Other values (130) 545
36.7%

소재지지번주소
Text

Distinct546
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-11T10:28:27.821303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length20.890459
Min length17

Characters and Unicode

Total characters11824
Distinct characters102
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

Unique526 ?
Unique (%)92.9%

Sample

1st row경기도 가평군 청평면 청평리 737
2nd row경기도 가평군 상면 항사리 7-1
3rd row경기도 가평군 상면 덕현리 362-2
4th row경기도 가평군 북면 화악리 산227-7
5th row경기도 가평군 북면 화악리 992-3
ValueCountFrequency (%)
경기도 566
19.6%
가평군 566
19.6%
가평읍 177
 
6.1%
청평면 131
 
4.5%
설악면 78
 
2.7%
상면 69
 
2.4%
청평리 59
 
2.0%
읍내리 57
 
2.0%
조종면 56
 
1.9%
북면 55
 
1.9%
Other values (591) 1067
37.0%
2024-05-11T10:28:28.987142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2317
19.6%
평 933
 
7.9%
가 751
 
6.4%
도 587
 
5.0%
경 574
 
4.9%
군 566
 
4.8%
기 566
 
4.8%
리 566
 
4.8%
- 474
 
4.0%
면 389
 
3.3%
Other values (92) 4101
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6767
57.2%
Space Separator 2317
 
19.6%
Decimal Number 2238
 
18.9%
Dash Punctuation 474
 
4.0%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 933
13.8%
가 751
11.1%
도 587
8.7%
경 574
8.5%
군 566
8.4%
기 566
8.4%
리 566
8.4%
면 389
 
5.7%
읍 234
 
3.5%
청 190
 
2.8%
Other values (78) 1411
20.9%
Decimal Number
ValueCountFrequency (%)
1 368
16.4%
3 312
13.9%
2 285
12.7%
4 259
11.6%
5 204
9.1%
6 197
8.8%
7 173
7.7%
9 159
7.1%
0 145
 
6.5%
8 136
 
6.1%
Space Separator
ValueCountFrequency (%)
2317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6767
57.2%
Common 5057
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 933
13.8%
가 751
11.1%
도 587
8.7%
경 574
8.5%
군 566
8.4%
기 566
8.4%
리 566
8.4%
면 389
 
5.7%
읍 234
 
3.5%
청 190
 
2.8%
Other values (78) 1411
20.9%
Common
ValueCountFrequency (%)
2317
45.8%
- 474
 
9.4%
1 368
 
7.3%
3 312
 
6.2%
2 285
 
5.6%
4 259
 
5.1%
5 204
 
4.0%
6 197
 
3.9%
7 173
 
3.4%
9 159
 
3.1%
Other values (4) 309
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6767
57.2%
ASCII 5057
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2317
45.8%
- 474
 
9.4%
1 368
 
7.3%
3 312
 
6.2%
2 285
 
5.6%
4 259
 
5.1%
5 204
 
4.0%
6 197
 
3.9%
7 173
 
3.4%
9 159
 
3.1%
Other values (4) 309
 
6.1%
Hangul
ValueCountFrequency (%)
평 933
13.8%
가 751
11.1%
도 587
8.7%
경 574
8.5%
군 566
8.4%
기 566
8.4%
리 566
8.4%
면 389
 
5.7%
읍 234
 
3.5%
청 190
 
2.8%
Other values (78) 1411
20.9%

설치목적구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
생활방범
400 
재난재해
74 
교통단속
 
39
어린이보호
 
33
기타
 
20

Length

Max length5
Median length4
Mean length3.9876325
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활방범 400
70.7%
재난재해 74
 
13.1%
교통단속 39
 
6.9%
어린이보호 33
 
5.8%
기타 20
 
3.5%

Length

2024-05-11T10:28:29.526595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:28:29.991886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활방범 400
70.7%
재난재해 74
 
13.1%
교통단속 39
 
6.9%
어린이보호 33
 
5.8%
기타 20
 
3.5%

카메라대수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1978799
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T10:28:30.637111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0608374
Coefficient of variation (CV)0.48266397
Kurtosis-0.056321258
Mean2.1978799
Median Absolute Deviation (MAD)1
Skewness0.66973906
Sum1244
Variance1.125376
MonotonicityNot monotonic
2024-05-11T10:28:31.159158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 194
34.3%
1 172
30.4%
3 131
23.1%
4 56
 
9.9%
5 11
 
1.9%
6 2
 
0.4%
ValueCountFrequency (%)
1 172
30.4%
2 194
34.3%
3 131
23.1%
4 56
 
9.9%
5 11
 
1.9%
6 2
 
0.4%
ValueCountFrequency (%)
6 2
 
0.4%
5 11
 
1.9%
4 56
 
9.9%
3 131
23.1%
2 194
34.3%
1 172
30.4%

카메라화소수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
200
566 

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 (%)
200 566
100.0%

Length

2024-05-11T10:28:31.724154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:28:32.173749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 566
100.0%

촬영방면정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
도로방면
377 
<NA>
156 
초등학교정문방향, 360도전방면
 
10
공원내, 360도전방면
 
6
공원내, 360도 전방면
 
6
Other values (4)
 
11

Length

Max length17
Median length4
Mean length4.5282686
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
도로방면 377
66.6%
<NA> 156
27.6%
초등학교정문방향, 360도전방면 10
 
1.8%
공원내, 360도전방면 6
 
1.1%
공원내, 360도 전방면 6
 
1.1%
360도전방면 5
 
0.9%
체육공원내, 360도전방면 3
 
0.5%
어린이집방향, 360도전방면 2
 
0.4%
공원방향 1
 
0.2%

Length

2024-05-11T10:28:32.601781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:28:33.051460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로방면 377
62.9%
na 156
26.0%
360도전방면 26
 
4.3%
공원내 12
 
2.0%
초등학교정문방향 10
 
1.7%
360도 6
 
1.0%
전방면 6
 
1.0%
체육공원내 3
 
0.5%
어린이집방향 2
 
0.3%
공원방향 1
 
0.2%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
30
566 

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 (%)
30 566
100.0%

Length

2024-05-11T10:28:33.479196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:28:33.863341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 566
100.0%

설치년월
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
155 
2020-06
59 
2017-06
45 
2016-07
37 
2018-11
31 
Other values (25)
239 

Length

Max length7
Median length7
Mean length6.1784452
Min length4

Unique

Unique6 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 155
27.4%
2020-06 59
 
10.4%
2017-06 45
 
8.0%
2016-07 37
 
6.5%
2018-11 31
 
5.5%
2018-06 30
 
5.3%
2019-11 30
 
5.3%
2016-12 28
 
4.9%
2016-06 25
 
4.4%
2013-08 25
 
4.4%
Other values (20) 101
17.8%

Length

2024-05-11T10:28:34.284508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 155
27.4%
2020-06 59
 
10.4%
2017-06 45
 
8.0%
2016-07 37
 
6.5%
2018-11 31
 
5.5%
2018-06 30
 
5.3%
2019-11 30
 
5.3%
2016-12 28
 
4.9%
2016-06 25
 
4.4%
2013-08 25
 
4.4%
Other values (20) 101
17.8%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
031-580-2571
492 
031-580-2142
74 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-580-2142
2nd row031-580-2142
3rd row031-580-2142
4th row031-580-2142
5th row031-580-2142

Common Values

ValueCountFrequency (%)
031-580-2571 492
86.9%
031-580-2142 74
 
13.1%

Length

2024-05-11T10:28:34.755144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:28:35.186077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-580-2571 492
86.9%
031-580-2142 74
 
13.1%

위도
Real number (ℝ)

Distinct543
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.786512
Minimum37.590256
Maximum38.027143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T10:28:35.610757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.590256
5-th percentile37.658983
Q137.734076
median37.805047
Q337.830965
95-th percentile37.903772
Maximum38.027143
Range0.4368868
Interquartile range (IQR)0.096888525

Descriptive statistics

Standard deviation0.078842611
Coefficient of variation (CV)0.0020865279
Kurtosis0.082760464
Mean37.786512
Median Absolute Deviation (MAD)0.04907855
Skewness-0.043116934
Sum21387.166
Variance0.0062161574
MonotonicityNot monotonic
2024-05-11T10:28:36.141090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7268729 2
 
0.4%
37.7578647 2
 
0.4%
37.684392 2
 
0.4%
37.7479672 2
 
0.4%
37.6575652 2
 
0.4%
38.0271428 2
 
0.4%
37.8268437 2
 
0.4%
37.8190804 2
 
0.4%
37.8256033 2
 
0.4%
37.6832117 2
 
0.4%
Other values (533) 546
96.5%
ValueCountFrequency (%)
37.590256 1
0.2%
37.5907826 1
0.2%
37.5910947 1
0.2%
37.5951356 1
0.2%
37.5976691 1
0.2%
37.601128 1
0.2%
37.6024637 1
0.2%
37.6030797 1
0.2%
37.6045449 1
0.2%
37.6109562 1
0.2%
ValueCountFrequency (%)
38.0271428 2
0.4%
37.9929197 2
0.4%
37.9878859 1
0.2%
37.9873577 1
0.2%
37.9794351 1
0.2%
37.9722409 1
0.2%
37.9712694 1
0.2%
37.9704905 1
0.2%
37.9702002 1
0.2%
37.9695012 1
0.2%

경도
Real number (ℝ)

Distinct543
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.4523
Minimum127.28245
Maximum127.57963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T10:28:36.623004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.28245
5-th percentile127.34256
Q1127.39816
median127.47126
Q3127.51173
95-th percentile127.53972
Maximum127.57963
Range0.2971759
Interquartile range (IQR)0.1135638

Descriptive statistics

Standard deviation0.06992095
Coefficient of variation (CV)0.00054860484
Kurtosis-0.799523
Mean127.4523
Median Absolute Deviation (MAD)0.0477681
Skewness-0.52953508
Sum72138.004
Variance0.0048889392
MonotonicityNot monotonic
2024-05-11T10:28:37.202287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4099184 2
 
0.4%
127.3966443 2
 
0.4%
127.4900498 2
 
0.4%
127.5262222 2
 
0.4%
127.3784257 2
 
0.4%
127.4424582 2
 
0.4%
127.5150645 2
 
0.4%
127.3490672 2
 
0.4%
127.5157996 2
 
0.4%
127.3806612 2
 
0.4%
Other values (533) 546
96.5%
ValueCountFrequency (%)
127.2824539 1
0.2%
127.2826164 1
0.2%
127.2834264 1
0.2%
127.2842697 1
0.2%
127.28713 1
0.2%
127.2872337 2
0.4%
127.2876034 1
0.2%
127.2880522 1
0.2%
127.2888374 1
0.2%
127.2896481 1
0.2%
ValueCountFrequency (%)
127.5796298 1
0.2%
127.5757635 1
0.2%
127.568066 1
0.2%
127.5668214 1
0.2%
127.5666858 1
0.2%
127.5620585 1
0.2%
127.5607941 1
0.2%
127.5605444 1
0.2%
127.5584676 1
0.2%
127.5555546 1
0.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-01-16
566 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-16
2nd row2024-01-16
3rd row2024-01-16
4th row2024-01-16
5th row2024-01-16

Common Values

ValueCountFrequency (%)
2024-01-16 566
100.0%

Length

2024-05-11T10:28:37.627563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:28:37.922198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-16 566
100.0%

Interactions

2024-05-11T10:28:23.208998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:21.234057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:22.354427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:23.489437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:21.626065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:22.623996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:23.757232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:21.944645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:28:22.938045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T10:28:38.136049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지도로명주소설치목적구분카메라대수촬영방면정보설치년월관리기관전화번호위도경도
소재지도로명주소1.0000.4970.4710.7240.6500.1650.2570.000
설치목적구분0.4971.0000.4210.8000.8391.0000.2920.271
카메라대수0.4710.4211.0000.2630.6890.6980.2410.216
촬영방면정보0.7240.8000.2631.0000.8020.9440.2430.096
설치년월0.6500.8390.6890.8021.0000.0000.4230.395
관리기관전화번호0.1651.0000.6980.9440.0001.0000.3170.315
위도0.2570.2920.2410.2430.4230.3171.0000.824
경도0.0000.2710.2160.0960.3950.3150.8241.000
2024-05-11T10:28:38.839855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년월설치목적구분촬영방면정보관리기관전화번호
설치년월1.0000.5700.4640.000
설치목적구분0.5701.0000.6560.997
촬영방면정보0.4640.6561.0000.788
관리기관전화번호0.0000.9970.7881.000
2024-05-11T10:28:39.131100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카메라대수위도경도설치목적구분촬영방면정보설치년월관리기관전화번호
카메라대수1.0000.0370.0080.3010.1480.3770.512
위도0.0371.0000.2090.1250.1170.1590.241
경도0.0080.2091.0000.1150.0450.1470.240
설치목적구분0.3010.1250.1151.0000.6560.5700.997
촬영방면정보0.1480.1170.0450.6561.0000.4640.788
설치년월0.3770.1590.1470.5700.4641.0000.000
관리기관전화번호0.5120.2410.2400.9970.7880.0001.000

Missing values

2024-05-11T10:28:24.228754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T10:28:24.815694image/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
0경기도 가평군청경기도 가평군 청평면 청평리 737재난재해1200<NA>30<NA>031-580-214237.734922127.4307642024-01-16
1경기도 가평군청경기도 가평군 상면 항사리 7-1재난재해1200<NA>30<NA>031-580-214237.788745127.4023772024-01-16
2경기도 가평군청경기도 가평군 상면 덕현리 362-2재난재해1200<NA>30<NA>031-580-214237.761737127.3961482024-01-16
3경기도 가평군청경기도 가평군 북면 화악리 산227-7재난재해1200<NA>30<NA>031-580-214237.972241127.5260522024-01-16
4경기도 가평군청경기도 가평군 북면 화악리 992-3재난재해1200<NA>30<NA>031-580-214237.960857127.5273092024-01-16
5경기도 가평군청경기도 가평군 북면 제령리 218-2재난재해1200<NA>30<NA>031-580-214237.88809127.5383912024-01-16
6경기도 가평군청경기도 가평군 북면 소법리 627-44재난재해1200<NA>30<NA>031-580-214237.903619127.5584682024-01-16
7경기도 가평군청경기도 가평군 북면 백둔리 산131-1재난재해1200<NA>30<NA>031-580-214237.903823127.4680412024-01-16
8경기도 가평군청경기도 가평군 가평읍 승안리 산76재난재해1200<NA>30<NA>031-580-214237.857583127.4680662024-01-16
9경기도 가평군청경기도 가평군 청평면 청평리 1-7재난재해1200<NA>30<NA>031-580-214237.744194127.4327362024-01-16
관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도데이터기준일자
556경기도 가평군청경기도 가평군 가평읍 달전리 444-2생활방범2200<NA>30<NA>031-580-257137.813353127.5123592024-01-16
557경기도 가평군청경기도 가평군 가평읍 상색리 538-5생활방범3200<NA>30<NA>031-580-257137.801131127.4878652024-01-16
558경기도 가평군청경기도 가평군 조종면 상판리 462-9생활방범2200<NA>30<NA>031-580-257137.901654127.3730972024-01-16
559경기도 가평군청경기도 가평군 상면 임초리 716생활방범2200<NA>30<NA>031-580-257137.750333127.3642162024-01-16
560경기도 가평군청경기도 가평군 상면 덕현리 159-7생활방범2200<NA>30<NA>031-580-257137.756809127.4034512024-01-16
561경기도 가평군청경기도 가평군 청평면 청평리 729-29생활방범2200<NA>30<NA>031-580-257137.727165127.4142952024-01-16
562경기도 가평군청경기도 가평군 설악면 회곡리 427-4생활방범2200<NA>30<NA>031-580-257137.704804127.4486412024-01-16
563경기도 가평군청경기도 가평군 설악면 묵안리 194-5생활방범2200<NA>30<NA>031-580-257137.60308127.533552024-01-16
564경기도 가평군청경기도 가평군 설악면 설곡리 175-2생활방범2200<NA>30<NA>031-580-257137.616735127.5368522024-01-16
565경기도 가평군청경기도 가평군 설악면 위곡리 996생활방범2200<NA>30<NA>031-580-257137.671297127.5195222024-01-16

Duplicate rows

Most frequently occurring

관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도데이터기준일자# duplicates
0경기도 가평군청경기도 가평군 가평읍 대곡리 12-3교통단속1200도로방면302018-06031-580-257137.822871127.517512024-01-162
1경기도 가평군청경기도 가평군 청평면 경춘로 884-41, (청평리)경기도 가평군 청평면 청평리 340-1기타3200<NA>30<NA>031-580-257137.740198127.4261972024-01-162