Overview

Dataset statistics

Number of variables11
Number of observations296
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.7 KiB
Average record size in memory92.4 B

Variable types

Numeric2
Text3
Categorical6

Dataset

Description전라남도 강진군 CCTV 설치현황 데이터입니다. 데이터는 주소, 관리기관명, 소재지 도로명 주소, 설치목적, 카메라대수, 카메라화소, 촬영방면정보, 보관일수, 설치년월을 기준으로 분류되었습니다.
URLhttps://www.data.go.kr/data/15113999/fileData.do

Alerts

관리기관명 has constant value ""Constant
보관일수 has constant value ""Constant
데이터기준일 has constant value ""Constant
카메라화소수 is highly imbalanced (64.3%)Imbalance
연번 has unique valuesUnique
촬영방면정보 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:07:49.274366
Analysis finished2023-12-12 18:07:50.404666
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct296
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.96622
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:07:50.489621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.75
Q176.75
median151.5
Q3225.25
95-th percentile284.25
Maximum300
Range299
Interquartile range (IQR)148.5

Descriptive statistics

Standard deviation86.431704
Coefficient of variation (CV)0.57252349
Kurtosis-1.1890357
Mean150.96622
Median Absolute Deviation (MAD)74.5
Skewness-0.015689217
Sum44686
Variance7470.4395
MonotonicityStrictly increasing
2023-12-13T03:07:50.647479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
Other values (286) 286
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%

설치주소
Text

Distinct250
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:07:51.039423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length21.766892
Min length18

Characters and Unicode

Total characters6443
Distinct characters110
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

Unique227 ?
Unique (%)76.7%

Sample

1st row전라남도 강진군 강진읍 동성리 188-86
2nd row전라남도 강진군 강진읍 서성리 80-3
3rd row전라남도 강진군 강진읍 송전리 286-5
4th row전라남도 강진군 강진읍 영랑로3길 7
5th row전라남도 강진군 강진읍 남포리 639-2
ValueCountFrequency (%)
전라남도 296
19.6%
강진군 296
19.6%
강진읍 147
 
9.7%
군동면 33
 
2.2%
동성리 30
 
2.0%
남성리 29
 
1.9%
산 27
 
1.8%
도암면 26
 
1.7%
성전면 16
 
1.1%
서성리 16
 
1.1%
Other values (335) 594
39.3%
2023-12-13T03:07:51.583978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1215
18.9%
강 445
 
6.9%
진 443
 
6.9%
남 352
 
5.5%
전 336
 
5.2%
군 329
 
5.1%
도 322
 
5.0%
라 299
 
4.6%
리 265
 
4.1%
1 233
 
3.6%
Other values (100) 2204
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3886
60.3%
Space Separator 1215
 
18.9%
Decimal Number 1114
 
17.3%
Dash Punctuation 228
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 445
11.5%
진 443
11.4%
남 352
9.1%
전 336
8.6%
군 329
8.5%
도 322
8.3%
라 299
 
7.7%
리 265
 
6.8%
면 149
 
3.8%
읍 147
 
3.8%
Other values (88) 799
20.6%
Decimal Number
ValueCountFrequency (%)
1 233
20.9%
2 159
14.3%
3 132
11.8%
6 96
8.6%
5 93
 
8.3%
4 89
 
8.0%
7 89
 
8.0%
8 80
 
7.2%
0 75
 
6.7%
9 68
 
6.1%
Space Separator
ValueCountFrequency (%)
1215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3886
60.3%
Common 2557
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 445
11.5%
진 443
11.4%
남 352
9.1%
전 336
8.6%
군 329
8.5%
도 322
8.3%
라 299
 
7.7%
리 265
 
6.8%
면 149
 
3.8%
읍 147
 
3.8%
Other values (88) 799
20.6%
Common
ValueCountFrequency (%)
1215
47.5%
1 233
 
9.1%
- 228
 
8.9%
2 159
 
6.2%
3 132
 
5.2%
6 96
 
3.8%
5 93
 
3.6%
4 89
 
3.5%
7 89
 
3.5%
8 80
 
3.1%
Other values (2) 143
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3886
60.3%
ASCII 2557
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1215
47.5%
1 233
 
9.1%
- 228
 
8.9%
2 159
 
6.2%
3 132
 
5.2%
6 96
 
3.8%
5 93
 
3.6%
4 89
 
3.5%
7 89
 
3.5%
8 80
 
3.1%
Other values (2) 143
 
5.6%
Hangul
ValueCountFrequency (%)
강 445
11.5%
진 443
11.4%
남 352
9.1%
전 336
8.6%
군 329
8.5%
도 322
8.3%
라 299
 
7.7%
리 265
 
6.8%
면 149
 
3.8%
읍 147
 
3.8%
Other values (88) 799
20.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
전라남도 강진군청
296 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 강진군청
2nd row전라남도 강진군청
3rd row전라남도 강진군청
4th row전라남도 강진군청
5th row전라남도 강진군청

Common Values

ValueCountFrequency (%)
전라남도 강진군청 296
100.0%

Length

2023-12-13T03:07:51.726354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:07:51.817749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 296
50.0%
강진군청 296
50.0%

소재지도로명주소
Text

Distinct250
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:07:52.144521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length12.766892
Min length9

Characters and Unicode

Total characters3779
Distinct characters110
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

Unique227 ?
Unique (%)76.7%

Sample

1st row강진읍 동성리 188-86
2nd row강진읍 서성리 80-3
3rd row강진읍 송전리 286-5
4th row강진읍 영랑로3길 7
5th row강진읍 남포리 639-2
ValueCountFrequency (%)
강진읍 147
 
16.0%
군동면 33
 
3.6%
동성리 30
 
3.3%
남성리 29
 
3.2%
산 27
 
2.9%
도암면 26
 
2.8%
병영면 16
 
1.7%
성전면 16
 
1.7%
서성리 16
 
1.7%
호계리 15
 
1.6%
Other values (333) 563
61.3%
2023-12-13T03:07:52.654510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
623
16.5%
리 265
 
7.0%
1 233
 
6.2%
- 228
 
6.0%
2 159
 
4.2%
강 149
 
3.9%
면 149
 
3.9%
읍 147
 
3.9%
진 147
 
3.9%
3 132
 
3.5%
Other values (100) 1547
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1814
48.0%
Decimal Number 1114
29.5%
Space Separator 623
 
16.5%
Dash Punctuation 228
 
6.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 265
14.6%
강 149
 
8.2%
면 149
 
8.2%
읍 147
 
8.1%
진 147
 
8.1%
성 107
 
5.9%
동 91
 
5.0%
남 56
 
3.1%
전 40
 
2.2%
량 39
 
2.1%
Other values (88) 624
34.4%
Decimal Number
ValueCountFrequency (%)
1 233
20.9%
2 159
14.3%
3 132
11.8%
6 96
8.6%
5 93
 
8.3%
7 89
 
8.0%
4 89
 
8.0%
8 80
 
7.2%
0 75
 
6.7%
9 68
 
6.1%
Space Separator
ValueCountFrequency (%)
623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1965
52.0%
Hangul 1814
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 265
14.6%
강 149
 
8.2%
면 149
 
8.2%
읍 147
 
8.1%
진 147
 
8.1%
성 107
 
5.9%
동 91
 
5.0%
남 56
 
3.1%
전 40
 
2.2%
량 39
 
2.1%
Other values (88) 624
34.4%
Common
ValueCountFrequency (%)
623
31.7%
1 233
 
11.9%
- 228
 
11.6%
2 159
 
8.1%
3 132
 
6.7%
6 96
 
4.9%
5 93
 
4.7%
7 89
 
4.5%
4 89
 
4.5%
8 80
 
4.1%
Other values (2) 143
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1965
52.0%
Hangul 1814
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
623
31.7%
1 233
 
11.9%
- 228
 
11.6%
2 159
 
8.1%
3 132
 
6.7%
6 96
 
4.9%
5 93
 
4.7%
7 89
 
4.5%
4 89
 
4.5%
8 80
 
4.1%
Other values (2) 143
 
7.3%
Hangul
ValueCountFrequency (%)
리 265
14.6%
강 149
 
8.2%
면 149
 
8.2%
읍 147
 
8.1%
진 147
 
8.1%
성 107
 
5.9%
동 91
 
5.0%
남 56
 
3.1%
전 40
 
2.2%
량 39
 
2.1%
Other values (88) 624
34.4%

설치목적구분
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
방범
205 
어린이보호
35 
도시공원
30 
시설물관리
21 
재난재해
 
5

Length

Max length5
Median length2
Mean length2.8040541
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방범 205
69.3%
어린이보호 35
 
11.8%
도시공원 30
 
10.1%
시설물관리 21
 
7.1%
재난재해 5
 
1.7%

Length

2023-12-13T03:07:52.810920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:07:52.942927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방범 205
69.3%
어린이보호 35
 
11.8%
도시공원 30
 
10.1%
시설물관리 21
 
7.1%
재난재해 5
 
1.7%

카메라대수
Real number (ℝ)

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6081081
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:07:53.053218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4339001
Coefficient of variation (CV)0.54978555
Kurtosis3.5772762
Mean2.6081081
Median Absolute Deviation (MAD)1
Skewness1.3091631
Sum772
Variance2.0560696
MonotonicityNot monotonic
2023-12-13T03:07:53.160784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 84
28.4%
1 73
24.7%
3 68
23.0%
4 44
14.9%
5 21
 
7.1%
6 3
 
1.0%
9 2
 
0.7%
10 1
 
0.3%
ValueCountFrequency (%)
1 73
24.7%
2 84
28.4%
3 68
23.0%
4 44
14.9%
5 21
 
7.1%
6 3
 
1.0%
9 2
 
0.7%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
9 2
 
0.7%
6 3
 
1.0%
5 21
 
7.1%
4 44
14.9%
3 68
23.0%
2 84
28.4%
1 73
24.7%

카메라화소수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
200
276 
700
 
20

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 (%)
200 276
93.2%
700 20
 
6.8%

Length

2023-12-13T03:07:53.385494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:07:53.506068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 276
93.2%
700 20
 
6.8%

촬영방면정보
Text

UNIQUE 

Distinct296
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:07:53.703308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.8108108
Min length3

Characters and Unicode

Total characters2608
Distinct characters320
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique296 ?
Unique (%)100.0%

Sample

1st row5일시장앞
2nd row강진고입구사거리
3rd row강진 송정마을
4th row강진약국사거리
5th row강진읍 남포다리
ValueCountFrequency (%)
53
 
10.7%
사거리 14
 
2.8%
앞 12
 
2.4%
정문 11
 
2.2%
삼거리 9
 
1.8%
입구 8
 
1.6%
호수공원 8
 
1.6%
주변 8
 
1.6%
세계모란공원 7
 
1.4%
생태공원 6
 
1.2%
Other values (316) 360
72.6%
2023-12-13T03:07:54.122400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
7.7%
리 101
 
3.9%
거 78
 
3.0%
- 59
 
2.3%
마 57
 
2.2%
장 55
 
2.1%
앞 54
 
2.1%
사 53
 
2.0%
강 51
 
2.0%
로 50
 
1.9%
Other values (310) 1850
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2184
83.7%
Space Separator 200
 
7.7%
Uppercase Letter 68
 
2.6%
Dash Punctuation 59
 
2.3%
Close Punctuation 31
 
1.2%
Open Punctuation 31
 
1.2%
Math Symbol 16
 
0.6%
Decimal Number 13
 
0.5%
Other Punctuation 4
 
0.2%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 101
 
4.6%
거 78
 
3.6%
마 57
 
2.6%
장 55
 
2.5%
앞 54
 
2.5%
사 53
 
2.4%
강 51
 
2.3%
로 50
 
2.3%
진 50
 
2.3%
차 49
 
2.2%
Other values (282) 1586
72.6%
Uppercase Letter
ValueCountFrequency (%)
V 27
39.7%
S 25
36.8%
A 4
 
5.9%
B 3
 
4.4%
C 3
 
4.4%
I 1
 
1.5%
T 1
 
1.5%
F 1
 
1.5%
M 1
 
1.5%
L 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 7
53.8%
5 2
 
15.4%
7 1
 
7.7%
4 1
 
7.7%
3 1
 
7.7%
9 1
 
7.7%
Math Symbol
ValueCountFrequency (%)
↔ 7
43.8%
> 4
25.0%
→ 4
25.0%
< 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
, 2
50.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2184
83.7%
Common 356
 
13.7%
Latin 68
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 101
 
4.6%
거 78
 
3.6%
마 57
 
2.6%
장 55
 
2.5%
앞 54
 
2.5%
사 53
 
2.4%
강 51
 
2.3%
로 50
 
2.3%
진 50
 
2.3%
차 49
 
2.2%
Other values (282) 1586
72.6%
Common
ValueCountFrequency (%)
200
56.2%
- 59
 
16.6%
) 31
 
8.7%
( 31
 
8.7%
↔ 7
 
2.0%
1 7
 
2.0%
> 4
 
1.1%
→ 4
 
1.1%
/ 2
 
0.6%
_ 2
 
0.6%
Other values (7) 9
 
2.5%
Latin
ValueCountFrequency (%)
V 27
39.7%
S 25
36.8%
A 4
 
5.9%
B 3
 
4.4%
C 3
 
4.4%
I 1
 
1.5%
T 1
 
1.5%
F 1
 
1.5%
M 1
 
1.5%
L 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2184
83.7%
ASCII 413
 
15.8%
Arrows 11
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
48.4%
- 59
 
14.3%
) 31
 
7.5%
( 31
 
7.5%
V 27
 
6.5%
S 25
 
6.1%
1 7
 
1.7%
> 4
 
1.0%
A 4
 
1.0%
B 3
 
0.7%
Other values (16) 22
 
5.3%
Hangul
ValueCountFrequency (%)
리 101
 
4.6%
거 78
 
3.6%
마 57
 
2.6%
장 55
 
2.5%
앞 54
 
2.5%
사 53
 
2.4%
강 51
 
2.3%
로 50
 
2.3%
진 50
 
2.3%
차 49
 
2.2%
Other values (282) 1586
72.6%
Arrows
ValueCountFrequency (%)
↔ 7
63.6%
→ 4
36.4%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
30
296 

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 (%)
30 296
100.0%

Length

2023-12-13T03:07:54.271578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:07:54.392653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 296
100.0%

설치년월
Categorical

Distinct43
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2018-02-01
88 
2021-05-01
25 
2022-08-31
22 
2019-10-01
19 
2020-06-01
15 
Other values (38)
127 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique21 ?
Unique (%)7.1%

Sample

1st row2018-02-01
2nd row2018-06-01
3rd row2020-06-01
4th row2021-06-01
5th row2019-10-01

Common Values

ValueCountFrequency (%)
2018-02-01 88
29.7%
2021-05-01 25
 
8.4%
2022-08-31 22
 
7.4%
2019-10-01 19
 
6.4%
2020-06-01 15
 
5.1%
2019-06-01 14
 
4.7%
2020-05-01 13
 
4.4%
2021-06-01 12
 
4.1%
2022-09-01 10
 
3.4%
2020-12-01 8
 
2.7%
Other values (33) 70
23.6%

Length

2023-12-13T03:07:54.534913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-02-01 88
29.7%
2021-05-01 25
 
8.4%
2022-08-31 22
 
7.4%
2019-10-01 19
 
6.4%
2020-06-01 15
 
5.1%
2019-06-01 14
 
4.7%
2020-05-01 13
 
4.4%
2021-06-01 12
 
4.1%
2022-09-01 10
 
3.4%
2018-12-01 8
 
2.7%
Other values (33) 70
23.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-08-23
296 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-23
2nd row2023-08-23
3rd row2023-08-23
4th row2023-08-23
5th row2023-08-23

Common Values

ValueCountFrequency (%)
2023-08-23 296
100.0%

Length

2023-12-13T03:07:54.667675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:07:54.767625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-23 296
100.0%

Interactions

2023-12-13T03:07:49.931155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:07:49.749419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:07:50.050335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:07:49.840325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:07:54.845957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치목적구분카메라대수카메라화소수설치년월
연번1.0000.7540.4150.2310.794
설치목적구분0.7541.0000.3330.1680.663
카메라대수0.4150.3331.0000.0000.708
카메라화소수0.2310.1680.0001.0000.240
설치년월0.7940.6630.7080.2401.000
2023-12-13T03:07:54.993286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년월카메라화소수설치목적구분
설치년월1.0000.1850.353
카메라화소수0.1851.0000.204
설치목적구분0.3530.2041.000
2023-12-13T03:07:55.093669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번카메라대수설치목적구분카메라화소수설치년월
연번1.000-0.0390.4070.1740.392
카메라대수-0.0391.0000.2100.0000.338
설치목적구분0.4070.2101.0000.2040.353
카메라화소수0.1740.0000.2041.0000.185
설치년월0.3920.3380.3530.1851.000

Missing values

2023-12-13T03:07:50.169988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:07:50.342722image/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

연번설치주소관리기관명소재지도로명주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월데이터기준일
01전라남도 강진군 강진읍 동성리 188-86전라남도 강진군청강진읍 동성리 188-86방범52005일시장앞302018-02-012023-08-23
12전라남도 강진군 강진읍 서성리 80-3전라남도 강진군청강진읍 서성리 80-3방범2200강진고입구사거리302018-06-012023-08-23
23전라남도 강진군 강진읍 송전리 286-5전라남도 강진군청강진읍 송전리 286-5방범1200강진 송정마을302020-06-012023-08-23
34전라남도 강진군 강진읍 영랑로3길 7전라남도 강진군청강진읍 영랑로3길 7방범4200강진약국사거리302021-06-012023-08-23
45전라남도 강진군 강진읍 남포리 639-2전라남도 강진군청강진읍 남포리 639-2방범4200강진읍 남포다리302019-10-012023-08-23
56전라남도 강진군 강진읍 서성리 322-33전라남도 강진군청강진읍 서성리 322-33방범4700강진의료원 앞 삼거리302018-02-012023-08-23
67전라남도 강진군 강진읍 서성리 576전라남도 강진군청강진읍 서성리 576방범3200건우1차아파트입구302018-02-012023-08-23
78전라남도 강진군 강진읍 동성리 224-13전라남도 강진군청강진읍 동성리 224-13방범3200고내골목길302019-10-012023-08-23
89전라남도 강진군 강진읍 평동리 203-5전라남도 강진군청강진읍 평동리 203-5방범2200광신택시사거리302020-05-012023-08-23
910전라남도 강진군 강진읍 남성리 28-13 펫하우스앞전라남도 강진군청강진읍 남성리 28-13 펫하우스앞방범5200강진교육지원청 사거리302018-12-012023-08-23
연번설치주소관리기관명소재지도로명주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월데이터기준일
286291전라남도 강진군 칠량면 송로리 499전라남도 강진군청칠량면 송로리 499방범1200구로마을선착장302018-02-012023-08-23
287292전라남도 강진군 칠량면 영동리 1072-13전라남도 강진군청칠량면 영동리 1072-13어린이보호2200칠량초 - 정문302018-02-012023-08-23
288293전라남도 강진군 칠량면 영동리 1113-5전라남도 강진군청칠량면 영동리 1113-5어린이보호3200칠량초 - 정문우측도로302018-05-312023-08-23
289294전라남도 강진군 칠량면 동백리 718-2전라남도 강진군청칠량면 동백리 718-2방범2200칠량동백삼거리(강진↔칠량)302022-08-312023-08-23
290295전라남도 강진군 칠량면 영복리 543-8전라남도 강진군청칠량면 영복리 543-8방범3200칠량119앞302022-08-312023-08-23
291296전라남도 강진군 칠량면 영동리 1072-10전라남도 강진군청칠량면 영동리 1072-10방범3200칠량파출소앞302022-08-312023-08-23
292297전라남도 강진군 칠량면 영동리 1145-2전라남도 강진군청칠량면 영동리 1145-2방범3200칠량중학교앞302022-08-312023-08-23
293298전라남도 강진군 칠량면 영동리 516전라남도 강진군청칠량면 영동리 516방범3200칠관로교차로302022-08-312023-08-23
294299전라남도 강진군 칠량면 단월리 712-34전라남도 강진군청칠량면 단월리 712-34방범3200치산교차로302022-08-312023-08-23
295300전라남도 강진군 칠량면 장계리 560-6전라남도 강진군청칠량면 장계리 560-6방범3200장계교차로302022-08-312023-08-23