Overview

Dataset statistics

Number of variables12
Number of observations1638
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory158.5 KiB
Average record size in memory99.1 B

Variable types

Numeric3
Categorical7
Text2

Dataset

Description충청남도 청양군에 설치되어 있는 관제센터 카메라 정보로 순번, 카메라형태, 카메라이름, 카메라제조사로 구성된 데이터로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15088753/fileData.do

Alerts

관리기관명 has constant value ""Constant
보관일수 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
설치목적 is highly overall correlated with CCTV제조사High correlation
CCTV제조사 is highly overall correlated with 설치목적High correlation
설치목적 is highly imbalanced (90.3%)Imbalance
촬영방향 is highly imbalanced (51.0%)Imbalance
경도 is highly skewed (γ1 = -40.37044914)Skewed
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:46:08.919464
Analysis finished2023-12-12 17:46:11.002174
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1638
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean819.5
Minimum1
Maximum1638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.5 KiB
2023-12-13T02:46:11.097031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile82.85
Q1410.25
median819.5
Q31228.75
95-th percentile1556.15
Maximum1638
Range1637
Interquartile range (IQR)818.5

Descriptive statistics

Standard deviation472.99419
Coefficient of variation (CV)0.57717411
Kurtosis-1.2
Mean819.5
Median Absolute Deviation (MAD)409.5
Skewness0
Sum1342341
Variance223723.5
MonotonicityStrictly increasing
2023-12-13T02:46:11.283741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1090 1
 
0.1%
1100 1
 
0.1%
1099 1
 
0.1%
1098 1
 
0.1%
1097 1
 
0.1%
1096 1
 
0.1%
1095 1
 
0.1%
1094 1
 
0.1%
1093 1
 
0.1%
Other values (1628) 1628
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1638 1
0.1%
1637 1
0.1%
1636 1
0.1%
1635 1
0.1%
1634 1
0.1%
1633 1
0.1%
1632 1
0.1%
1631 1
0.1%
1630 1
0.1%
1629 1
0.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
청양군청
1638 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청양군청 1638
100.0%

Length

2023-12-13T02:46:11.437161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:11.575907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청양군청 1638
100.0%

설치장소
Text

Distinct1485
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
2023-12-13T02:46:11.906410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length10.18315
Min length5

Characters and Unicode

Total characters16680
Distinct characters330
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1415 ?
Unique (%)86.4%

Sample

1st row용천사거리
2nd row용천사거리1
3rd row용천사거리2
4th row용천사거리3
5th row용천사거리4
ValueCountFrequency (%)
마을방범 229
 
7.3%
정산 81
 
2.6%
청양시장 68
 
2.2%
1 50
 
1.6%
2 47
 
1.5%
목면 47
 
1.5%
남양 47
 
1.5%
비봉 41
 
1.3%
앞 38
 
1.2%
장평 37
 
1.2%
Other values (1236) 2443
78.1%
2023-12-13T02:46:12.444094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2662
 
16.0%
리 902
 
5.4%
1 589
 
3.5%
마 572
 
3.4%
2 537
 
3.2%
을 525
 
3.1%
정 457
 
2.7%
방 414
 
2.5%
장 345
 
2.1%
청 340
 
2.0%
Other values (320) 9337
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11974
71.8%
Space Separator 2662
 
16.0%
Decimal Number 1584
 
9.5%
Close Punctuation 200
 
1.2%
Open Punctuation 200
 
1.2%
Uppercase Letter 50
 
0.3%
Dash Punctuation 6
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 902
 
7.5%
마 572
 
4.8%
을 525
 
4.4%
정 457
 
3.8%
방 414
 
3.5%
장 345
 
2.9%
청 340
 
2.8%
범 309
 
2.6%
양 309
 
2.6%
산 271
 
2.3%
Other values (297) 7530
62.9%
Decimal Number
ValueCountFrequency (%)
1 589
37.2%
2 537
33.9%
3 281
17.7%
4 113
 
7.1%
5 32
 
2.0%
6 14
 
0.9%
7 8
 
0.5%
8 4
 
0.3%
0 4
 
0.3%
9 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
T 11
22.0%
Z 10
20.0%
P 10
20.0%
O 7
14.0%
A 7
14.0%
C 3
 
6.0%
I 1
 
2.0%
V 1
 
2.0%
Space Separator
ValueCountFrequency (%)
2662
100.0%
Close Punctuation
ValueCountFrequency (%)
) 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11974
71.8%
Common 4656
 
27.9%
Latin 50
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 902
 
7.5%
마 572
 
4.8%
을 525
 
4.4%
정 457
 
3.8%
방 414
 
3.5%
장 345
 
2.9%
청 340
 
2.8%
범 309
 
2.6%
양 309
 
2.6%
산 271
 
2.3%
Other values (297) 7530
62.9%
Common
ValueCountFrequency (%)
2662
57.2%
1 589
 
12.7%
2 537
 
11.5%
3 281
 
6.0%
) 200
 
4.3%
( 200
 
4.3%
4 113
 
2.4%
5 32
 
0.7%
6 14
 
0.3%
7 8
 
0.2%
Other values (5) 20
 
0.4%
Latin
ValueCountFrequency (%)
T 11
22.0%
Z 10
20.0%
P 10
20.0%
O 7
14.0%
A 7
14.0%
C 3
 
6.0%
I 1
 
2.0%
V 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11974
71.8%
ASCII 4706
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2662
56.6%
1 589
 
12.5%
2 537
 
11.4%
3 281
 
6.0%
) 200
 
4.2%
( 200
 
4.2%
4 113
 
2.4%
5 32
 
0.7%
6 14
 
0.3%
T 11
 
0.2%
Other values (13) 67
 
1.4%
Hangul
ValueCountFrequency (%)
리 902
 
7.5%
마 572
 
4.8%
을 525
 
4.4%
정 457
 
3.8%
방 414
 
3.5%
장 345
 
2.9%
청 340
 
2.8%
범 309
 
2.6%
양 309
 
2.6%
산 271
 
2.3%
Other values (297) 7530
62.9%

설치주소
Text

Distinct464
Distinct (%)28.4%
Missing2
Missing (%)0.1%
Memory size12.9 KiB
2023-12-13T02:46:12.904213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length12.451711
Min length10

Characters and Unicode

Total characters20371
Distinct characters136
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

Unique31 ?
Unique (%)1.9%

Sample

1st row비봉면 용천리 543
2nd row비봉면 용천리 543
3rd row비봉면 용천리 543
4th row비봉면 용천리 543
5th row비봉면 용천리 543
ValueCountFrequency (%)
청양읍 638
 
12.9%
읍내리 366
 
7.4%
정산면 206
 
4.2%
남양면 110
 
2.2%
대치면 109
 
2.2%
목면 106
 
2.1%
청남면 102
 
2.1%
장평면 102
 
2.1%
화성면 99
 
2.0%
송방리 97
 
2.0%
Other values (572) 3018
60.9%
2023-12-13T02:46:13.478781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3335
16.4%
리 1620
 
8.0%
- 1189
 
5.8%
1 1046
 
5.1%
읍 1004
 
4.9%
면 1001
 
4.9%
2 819
 
4.0%
양 789
 
3.9%
청 775
 
3.8%
3 636
 
3.1%
Other values (126) 8157
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9829
48.2%
Decimal Number 5983
29.4%
Space Separator 3335
 
16.4%
Dash Punctuation 1189
 
5.8%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%
Math Symbol 5
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1620
16.5%
읍 1004
 
10.2%
면 1001
 
10.2%
양 789
 
8.0%
청 775
 
7.9%
정 414
 
4.2%
내 382
 
3.9%
산 294
 
3.0%
남 225
 
2.3%
대 180
 
1.8%
Other values (108) 3145
32.0%
Decimal Number
ValueCountFrequency (%)
1 1046
17.5%
2 819
13.7%
3 636
10.6%
7 573
9.6%
4 569
9.5%
8 559
9.3%
5 542
9.1%
6 527
8.8%
9 366
 
6.1%
0 346
 
5.8%
Math Symbol
ValueCountFrequency (%)
> 3
60.0%
→ 2
40.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
3335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10538
51.7%
Hangul 9829
48.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1620
16.5%
읍 1004
 
10.2%
면 1001
 
10.2%
양 789
 
8.0%
청 775
 
7.9%
정 414
 
4.2%
내 382
 
3.9%
산 294
 
3.0%
남 225
 
2.3%
대 180
 
1.8%
Other values (108) 3145
32.0%
Common
ValueCountFrequency (%)
3335
31.6%
- 1189
 
11.3%
1 1046
 
9.9%
2 819
 
7.8%
3 636
 
6.0%
7 573
 
5.4%
4 569
 
5.4%
8 559
 
5.3%
5 542
 
5.1%
6 527
 
5.0%
Other values (6) 743
 
7.1%
Latin
ValueCountFrequency (%)
I 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10540
51.7%
Hangul 9829
48.2%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3335
31.6%
- 1189
 
11.3%
1 1046
 
9.9%
2 819
 
7.8%
3 636
 
6.0%
7 573
 
5.4%
4 569
 
5.4%
8 559
 
5.3%
5 542
 
5.1%
6 527
 
5.0%
Other values (7) 745
 
7.1%
Hangul
ValueCountFrequency (%)
리 1620
16.5%
읍 1004
 
10.2%
면 1001
 
10.2%
양 789
 
8.0%
청 775
 
7.9%
정 414
 
4.2%
내 382
 
3.9%
산 294
 
3.0%
남 225
 
2.3%
대 180
 
1.8%
Other values (108) 3145
32.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

설치목적
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
방범용
1607 
주정차
 
18
재난감시
 
13

Length

Max length4
Median length3
Mean length3.0079365
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방범용 1607
98.1%
주정차 18
 
1.1%
재난감시 13
 
0.8%

Length

2023-12-13T02:46:13.645885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:13.768071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방범용 1607
98.1%
주정차 18
 
1.1%
재난감시 13
 
0.8%

CCTV제조사
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
스마트정보기술
185 
BTS(유)
181 
비젼아이티
159 
나인정보통신
107 
한화테크윈
102 
Other values (41)
904 

Length

Max length13
Median length9
Mean length4.7918193
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st row히크비전
2nd row나인정보통신
3rd row다화
4th row나인정보통신
5th row다화

Common Values

ValueCountFrequency (%)
스마트정보기술 185
 
11.3%
BTS(유) 181
 
11.1%
비젼아이티 159
 
9.7%
나인정보통신 107
 
6.5%
한화테크윈 102
 
6.2%
트루엔 102
 
6.2%
에스원 87
 
5.3%
다화 83
 
5.1%
엘리소프트 60
 
3.7%
에스마루 59
 
3.6%
Other values (36) 513
31.3%

Length

2023-12-13T02:46:13.894428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
스마트정보기술 185
 
11.0%
bts(유 185
 
11.0%
비젼아이티 159
 
9.5%
나인정보통신 107
 
6.4%
한화테크윈 102
 
6.1%
트루엔 102
 
6.1%
에스원 87
 
5.2%
다화 83
 
5.0%
엘리소프트 60
 
3.6%
에스마루 59
 
3.5%
Other values (37) 546
32.6%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
30일
1638 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30일
2nd row30일
3rd row30일
4th row30일
5th row30일

Common Values

ValueCountFrequency (%)
30일 1638
100.0%

Length

2023-12-13T02:46:14.029130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:14.158053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30일 1638
100.0%

촬영방향
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
고정형
1463 
회전형
175 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row회전형
2nd row고정형
3rd row고정형
4th row고정형
5th row고정형

Common Values

ValueCountFrequency (%)
고정형 1463
89.3%
회전형 175
 
10.7%

Length

2023-12-13T02:46:14.273215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:14.373769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형 1463
89.3%
회전형 175
 
10.7%

위도
Real number (ℝ)

Distinct461
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.433323
Minimum36.321929
Maximum36.570997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.5 KiB
2023-12-13T02:46:14.486108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.321929
5-th percentile36.345386
Q136.41063
median36.445373
Q336.452994
95-th percentile36.516965
Maximum36.570997
Range0.2490684
Interquartile range (IQR)0.042364

Descriptive statistics

Standard deviation0.044207933
Coefficient of variation (CV)0.0012133928
Kurtosis0.55269436
Mean36.433323
Median Absolute Deviation (MAD)0.02091755
Skewness-0.071769372
Sum59677.783
Variance0.0019543414
MonotonicityNot monotonic
2023-12-13T02:46:14.633485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.450384 58
 
3.5%
36.459217 20
 
1.2%
36.416599 15
 
0.9%
36.448545 13
 
0.8%
36.452267 11
 
0.7%
36.45035 10
 
0.6%
36.453932 10
 
0.6%
36.450435 9
 
0.5%
36.453221 9
 
0.5%
36.446241 8
 
0.5%
Other values (451) 1475
90.0%
ValueCountFrequency (%)
36.321929 2
 
0.1%
36.3285385 7
0.4%
36.3298962 2
 
0.1%
36.330383 2
 
0.1%
36.33051 3
0.2%
36.330675 2
 
0.1%
36.331561 3
0.2%
36.33269 3
0.2%
36.334364 3
0.2%
36.3365049 3
0.2%
ValueCountFrequency (%)
36.5709974 2
0.1%
36.564654 4
0.2%
36.5613416 3
0.2%
36.557951 3
0.2%
36.557177 4
0.2%
36.54943 3
0.2%
36.5403 3
0.2%
36.535564 3
0.2%
36.530481 4
0.2%
36.5299514 2
0.1%

경도
Real number (ℝ)

SKEWED 

Distinct441
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.78225
Minimum36.450384
Maximum127.02687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.5 KiB
2023-12-13T02:46:14.772162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.450384
5-th percentile126.72667
Q1126.79905
median126.80495
Q3126.8986
95-th percentile126.97822
Maximum127.02687
Range90.576489
Interquartile range (IQR)0.099545

Descriptive statistics

Standard deviation2.2351868
Coefficient of variation (CV)0.017630124
Kurtosis1632.499
Mean126.78225
Median Absolute Deviation (MAD)0.0280589
Skewness-40.370449
Sum207669.32
Variance4.99606
MonotonicityNot monotonic
2023-12-13T02:46:14.891683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.800287 68
 
4.2%
126.801803 57
 
3.5%
126.802205 20
 
1.2%
126.805479 19
 
1.2%
126.945734 15
 
0.9%
126.805932 15
 
0.9%
126.799511 14
 
0.9%
126.800101 13
 
0.8%
126.805817 11
 
0.7%
126.800534 10
 
0.6%
Other values (431) 1396
85.2%
ValueCountFrequency (%)
36.450384 1
 
0.1%
126.006782 3
0.2%
126.008747 3
0.2%
126.6906913 2
0.1%
126.691832 2
0.1%
126.694468 3
0.2%
126.698223 2
0.1%
126.69845 2
0.1%
126.700311 2
0.1%
126.701443 3
0.2%
ValueCountFrequency (%)
127.026873 1
 
0.1%
127.02152 3
 
0.2%
127.018447 2
 
0.1%
127.0166617 4
0.2%
127.0152322 3
 
0.2%
127.015119 3
 
0.2%
127.015065 4
0.2%
127.008183 2
 
0.1%
127.007785 8
0.5%
127.0076688 4
0.2%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
041-940-2201
1638 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-940-2201
2nd row041-940-2201
3rd row041-940-2201
4th row041-940-2201
5th row041-940-2201

Common Values

ValueCountFrequency (%)
041-940-2201 1638
100.0%

Length

2023-12-13T02:46:15.318478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:15.400770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-940-2201 1638
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
2023-08-31
1638 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 1638
100.0%

Length

2023-12-13T02:46:15.488396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:46:15.593679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 1638
100.0%

Interactions

2023-12-13T02:46:10.322668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:09.630100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:09.960878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:10.452481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:09.746609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:10.099731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:10.570350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:09.843950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:10.204355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:46:15.658391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치목적CCTV제조사촬영방향위도경도
연번1.0000.4290.8530.3980.7100.000
설치목적0.4291.0000.8100.0720.1610.000
CCTV제조사0.8530.8101.0000.4670.5910.000
촬영방향0.3980.0720.4671.0000.1730.000
위도0.7100.1610.5910.1731.0000.000
경도0.0000.0000.0000.0000.0001.000
2023-12-13T02:46:15.770635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치목적CCTV제조사촬영방향
설치목적1.0000.5520.120
CCTV제조사0.5521.0000.386
촬영방향0.1200.3861.000
2023-12-13T02:46:15.866047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도설치목적CCTV제조사촬영방향
연번1.000-0.2460.2470.2850.4840.305
위도-0.2461.000-0.3410.0960.2390.132
경도0.247-0.3411.0000.0000.0000.000
설치목적0.2850.0960.0001.0000.5520.120
CCTV제조사0.4840.2390.0000.5521.0000.386
촬영방향0.3050.1320.0000.1200.3861.000

Missing values

2023-12-13T02:46:10.733061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:46:10.925726image/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

연번관리기관명설치장소설치주소설치목적CCTV제조사보관일수촬영방향위도경도관리기관 전화번호데이터 기준일자
01청양군청용천사거리비봉면 용천리 543방범용히크비전30일회전형36.484185126.750831041-940-22012023-08-31
12청양군청용천사거리1비봉면 용천리 543방범용나인정보통신30일고정형36.484185126.750831041-940-22012023-08-31
23청양군청용천사거리2비봉면 용천리 543방범용다화30일고정형36.484185126.750831041-940-22012023-08-31
34청양군청용천사거리3비봉면 용천리 543방범용나인정보통신30일고정형36.484185126.750831041-940-22012023-08-31
45청양군청용천사거리4비봉면 용천리 543방범용다화30일고정형36.484185126.750831041-940-22012023-08-31
56청양군청가남초입구비봉면 록평리 28-9방범용BTS(유)30일회전형36.51644126.787766041-940-22012023-08-31
67청양군청가남초입구1비봉면 록평리 28-9방범용BTS(유)30일고정형36.51644126.787766041-940-22012023-08-31
78청양군청가남초입구2비봉면 록평리 28-9방범용BTS(유)30일고정형36.51644126.787766041-940-22012023-08-31
89청양군청가남초입구3비봉면 록평리 28-9방범용BTS(유)30일고정형36.51644126.787766041-940-22012023-08-31
910청양군청가남초입구도로비봉면 록평리 37-3방범용BTS(유)30일회전형36.516493126.787038041-940-22012023-08-31
연번관리기관명설치장소설치주소설치목적CCTV제조사보관일수촬영방향위도경도관리기관 전화번호데이터 기준일자
16281629청양군청서정리 쌈지주차장1정산면 서정리 99-49방범용SNS30일고정형36.412397126.948635041-940-22012023-08-31
16291630청양군청서정리 쌈지주차장2정산면 서정리 99-49방범용SNS30일고정형36.412397126.948635041-940-22012023-08-31
16301631청양군청로얄아파트 옆 쌈지주차장 (폴대1)청양읍 읍내리 69-1방범용CNS30일회전형36.451767126.807026041-940-22012023-08-31
16311632청양군청로얄아파트 옆 쌈지주차장1(폴대1)청양읍 읍내리 69-1방범용CNS30일고정형36.451767126.807026041-940-22012023-08-31
16321633청양군청로얄아파트 옆 쌈지주차장2(폴대1)청양읍 읍내리 69-1방범용CNS30일고정형36.451767126.807026041-940-22012023-08-31
16331634청양군청로얄아파트 옆 쌈지주차장 (폴대2)청양읍 읍내리 69-1방범용CNS30일회전형36.451974126.80682041-940-22012023-08-31
16341635청양군청로얄아파트 옆 쌈지주차장1(폴대2)청양읍 읍내리 69-1방범용CNS30일고정형36.451974126.80682041-940-22012023-08-31
16351636청양군청로얄아파트 옆 쌈지주차장2(폴대2)청양읍 읍내리 69-1방범용CNS30일고정형36.451974126.80682041-940-22012023-08-31
16361637청양군청지천 둔치주차장 입구 필로스캐슬 부근 PTZ1청양읍 벽천리 340-1재난감시(유)BTS30일회전형36.4441126.7983041-940-22012023-08-31
16371638청양군청지천 둔치주차장 입구 벽천2교 부근PTZ1청양읍 벽천리 243-1재난감시(유)BTS30일회전형36.443126.7958041-940-22012023-08-31