Overview

Dataset statistics

Number of variables10
Number of observations33
Missing cells19
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory84.9 B

Variable types

Categorical3
Text5
Numeric1
DateTime1

Dataset

Description화성도시공사의 cctv 설치현황입니다. 관리기관명, 소재지도로명주소, 소재지지번주소, 설치목적구분,카메라대수, 보관일수, 관리기관전화번호, 위도, 경도 등을 확인할 수 있습니다.
Author화성도시공사
URLhttps://www.data.go.kr/data/15126997/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
카메라대수 is highly overall correlated with 설치목적구분High correlation
관리기관명 is highly overall correlated with 설치목적구분 and 1 other fieldsHigh correlation
설치목적구분 is highly overall correlated with 카메라대수 and 1 other fieldsHigh correlation
보관일수 is highly overall correlated with 관리기관명High correlation
소재지도로명주소 has 1 (3.0%) missing valuesMissing
소재지지번주소 has 8 (24.2%) missing valuesMissing
위도 has 5 (15.2%) missing valuesMissing
경도 has 5 (15.2%) missing valuesMissing

Reproduction

Analysis started2024-03-14 18:10:20.525853
Analysis finished2024-03-14 18:10:23.039733
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size392.0 B
체육시설 2부
7 
스포츠사업처체육센터
5 
대중교통사업처
4 
공영버스 cctv
4 
공공시설부
3 
Other values (8)
10 

Length

Max length10
Median length9
Mean length7.3636364
Min length5

Unique

Unique6 ?
Unique (%)18.2%

Sample

1st row경기타운부
2nd row체육시설 1,2부
3rd row체육시설 1부
4th row체육시설 2부
5th row체육시설 2부

Common Values

ValueCountFrequency (%)
체육시설 2부 7
21.2%
스포츠사업처체육센터 5
15.2%
대중교통사업처 4
12.1%
공영버스 cctv 4
12.1%
공공시설부 3
9.1%
추모공원운영부 2
 
6.1%
주차운영2부 2
 
6.1%
경기타운부 1
 
3.0%
체육시설 1,2부 1
 
3.0%
체육시설 1부 1
 
3.0%
Other values (3) 3
9.1%

Length

2024-03-15T03:10:23.340148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육시설 9
19.6%
2부 7
15.2%
스포츠사업처체육센터 5
10.9%
대중교통사업처 4
8.7%
공영버스 4
8.7%
cctv 4
8.7%
공공시설부 3
 
6.5%
추모공원운영부 2
 
4.3%
주차운영2부 2
 
4.3%
경기타운부 1
 
2.2%
Other values (5) 5
10.9%

소재지도로명주소
Text

MISSING 

Distinct29
Distinct (%)90.6%
Missing1
Missing (%)3.0%
Memory size392.0 B
2024-03-15T03:10:24.378947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length38
Mean length22.375
Min length5

Characters and Unicode

Total characters716
Distinct characters96
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

Unique26 ?
Unique (%)81.2%

Sample

1st row경기도 화성시 향남읍 향남로 470
2nd row화성시 실내배드민턴장
3rd row경기도 화성시 우정읍 기아자동차로189-2
4th row경기도 화성시 새솔동168
5th row경기도 화성시 송산면 삼일공원로 13
ValueCountFrequency (%)
화성시 33
20.0%
경기도 29
 
17.6%
향남읍 7
 
4.2%
서신면 5
 
3.0%
향남로 4
 
2.4%
경기 3
 
1.8%
남양읍 3
 
1.8%
매송면 3
 
1.8%
봉담읍 3
 
1.8%
산 2
 
1.2%
Other values (64) 73
44.2%
2024-03-15T03:10:25.869584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
18.7%
화 36
 
5.0%
시 36
 
5.0%
성 35
 
4.9%
기 33
 
4.6%
경 32
 
4.5%
도 30
 
4.2%
1 20
 
2.8%
남 18
 
2.5%
2 16
 
2.2%
Other values (86) 326
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
62.8%
Space Separator 134
 
18.7%
Decimal Number 107
 
14.9%
Dash Punctuation 8
 
1.1%
Open Punctuation 7
 
1.0%
Close Punctuation 7
 
1.0%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 36
 
8.0%
시 36
 
8.0%
성 35
 
7.8%
기 33
 
7.3%
경 32
 
7.1%
도 30
 
6.7%
남 18
 
4.0%
로 15
 
3.3%
읍 15
 
3.3%
향 13
 
2.9%
Other values (71) 187
41.6%
Decimal Number
ValueCountFrequency (%)
1 20
18.7%
2 16
15.0%
4 13
12.1%
0 13
12.1%
3 10
9.3%
6 9
8.4%
9 8
 
7.5%
7 7
 
6.5%
5 7
 
6.5%
8 4
 
3.7%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
62.8%
Common 266
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 36
 
8.0%
시 36
 
8.0%
성 35
 
7.8%
기 33
 
7.3%
경 32
 
7.1%
도 30
 
6.7%
남 18
 
4.0%
로 15
 
3.3%
읍 15
 
3.3%
향 13
 
2.9%
Other values (71) 187
41.6%
Common
ValueCountFrequency (%)
134
50.4%
1 20
 
7.5%
2 16
 
6.0%
4 13
 
4.9%
0 13
 
4.9%
3 10
 
3.8%
6 9
 
3.4%
9 8
 
3.0%
- 8
 
3.0%
( 7
 
2.6%
Other values (5) 28
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
62.8%
ASCII 266
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
50.4%
1 20
 
7.5%
2 16
 
6.0%
4 13
 
4.9%
0 13
 
4.9%
3 10
 
3.8%
6 9
 
3.4%
9 8
 
3.0%
- 8
 
3.0%
( 7
 
2.6%
Other values (5) 28
 
10.5%
Hangul
ValueCountFrequency (%)
화 36
 
8.0%
시 36
 
8.0%
성 35
 
7.8%
기 33
 
7.3%
경 32
 
7.1%
도 30
 
6.7%
남 18
 
4.0%
로 15
 
3.3%
읍 15
 
3.3%
향 13
 
2.9%
Other values (71) 187
41.6%

소재지지번주소
Text

MISSING 

Distinct21
Distinct (%)84.0%
Missing8
Missing (%)24.2%
Memory size392.0 B
2024-03-15T03:10:26.651855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length21.08
Min length14

Characters and Unicode

Total characters527
Distinct characters71
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

Unique17 ?
Unique (%)68.0%

Sample

1st row경기도 화성시 향남읍 도이리 668
2nd row경기도 화성시 우정읍 매향리 986
3rd row경기도 화성시 송산면 삼존리1286
4th row경기도 화성시 봉담읍 상리713
5th row경기도 화성시 향남읍 행정리 478
ValueCountFrequency (%)
화성시 26
20.8%
경기도 25
20.0%
향남읍 6
 
4.8%
서신면 5
 
4.0%
매송면 3
 
2.4%
봉담읍 3
 
2.4%
도이리 3
 
2.4%
남양읍 3
 
2.4%
행정리 3
 
2.4%
400-8 2
 
1.6%
Other values (40) 46
36.8%
2024-03-15T03:10:27.989287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
19.0%
도 29
 
5.5%
화 29
 
5.5%
성 27
 
5.1%
경 26
 
4.9%
시 26
 
4.9%
기 26
 
4.9%
리 20
 
3.8%
읍 14
 
2.7%
1 13
 
2.5%
Other values (61) 217
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
62.8%
Space Separator 100
 
19.0%
Decimal Number 84
 
15.9%
Dash Punctuation 11
 
2.1%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 29
 
8.8%
화 29
 
8.8%
성 27
 
8.2%
경 26
 
7.9%
시 26
 
7.9%
기 26
 
7.9%
리 20
 
6.0%
읍 14
 
4.2%
남 13
 
3.9%
면 10
 
3.0%
Other values (48) 111
33.5%
Decimal Number
ValueCountFrequency (%)
1 13
15.5%
8 13
15.5%
6 10
11.9%
4 10
11.9%
0 10
11.9%
7 8
9.5%
3 7
8.3%
2 6
7.1%
9 4
 
4.8%
5 3
 
3.6%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
62.8%
Common 196
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 29
 
8.8%
화 29
 
8.8%
성 27
 
8.2%
경 26
 
7.9%
시 26
 
7.9%
기 26
 
7.9%
리 20
 
6.0%
읍 14
 
4.2%
남 13
 
3.9%
면 10
 
3.0%
Other values (48) 111
33.5%
Common
ValueCountFrequency (%)
100
51.0%
1 13
 
6.6%
8 13
 
6.6%
- 11
 
5.6%
6 10
 
5.1%
4 10
 
5.1%
0 10
 
5.1%
7 8
 
4.1%
3 7
 
3.6%
2 6
 
3.1%
Other values (3) 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
62.8%
ASCII 196
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
51.0%
1 13
 
6.6%
8 13
 
6.6%
- 11
 
5.6%
6 10
 
5.1%
4 10
 
5.1%
0 10
 
5.1%
7 8
 
4.1%
3 7
 
3.6%
2 6
 
3.1%
Other values (3) 8
 
4.1%
Hangul
ValueCountFrequency (%)
도 29
 
8.8%
화 29
 
8.8%
성 27
 
8.2%
경 26
 
7.9%
시 26
 
7.9%
기 26
 
7.9%
리 20
 
6.0%
읍 14
 
4.2%
남 13
 
3.9%
면 10
 
3.0%
Other values (48) 111
33.5%

설치목적구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
시설물관리
27 
차량방범
6 

Length

Max length5
Median length5
Mean length4.8181818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시설물관리 27
81.8%
차량방범 6
 
18.2%

Length

2024-03-15T03:10:28.411076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:10:28.713819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설물관리 27
81.8%
차량방범 6
 
18.2%

카메라대수
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.666667
Minimum3
Maximum741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-15T03:10:29.036121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.8
Q116
median42
Q390
95-th percentile429
Maximum741
Range738
Interquartile range (IQR)74

Descriptive statistics

Standard deviation165.30288
Coefficient of variation (CV)1.6585573
Kurtosis9.1047511
Mean99.666667
Median Absolute Deviation (MAD)32
Skewness2.9841769
Sum3289
Variance27325.042
MonotonicityNot monotonic
2024-03-15T03:10:29.444445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
16 4
 
12.1%
9 2
 
6.1%
158 1
 
3.0%
42 1
 
3.0%
49 1
 
3.0%
186 1
 
3.0%
301 1
 
3.0%
198 1
 
3.0%
71 1
 
3.0%
39 1
 
3.0%
Other values (19) 19
57.6%
ValueCountFrequency (%)
3 1
 
3.0%
4 1
 
3.0%
7 1
 
3.0%
9 2
6.1%
10 1
 
3.0%
13 1
 
3.0%
16 4
12.1%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
ValueCountFrequency (%)
741 1
3.0%
621 1
3.0%
301 1
3.0%
198 1
3.0%
186 1
3.0%
158 1
3.0%
154 1
3.0%
92 1
3.0%
90 1
3.0%
87 1
3.0%

보관일수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
1개월이내
25 
14일(저장능력내)
8 

Length

Max length10
Median length5
Mean length6.2121212
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1개월이내
2nd row1개월이내
3rd row1개월이내
4th row1개월이내
5th row1개월이내

Common Values

ValueCountFrequency (%)
1개월이내 25
75.8%
14일(저장능력내) 8
 
24.2%

Length

2024-03-15T03:10:29.785895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:10:30.027987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1개월이내 25
75.8%
14일(저장능력내 8
 
24.2%

관리기관전화번호
Text

Distinct24
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-03-15T03:10:30.698069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length13.151515
Min length12

Characters and Unicode

Total characters434
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)63.6%

Sample

1st row031-371-0031
2nd row031-352-4251,031-8059-3273
3rd row031-352-4251
4th row031-351-9027
5th row031-8059-3273
ValueCountFrequency (%)
031-8059-3273 6
 
17.6%
031-366-7864 4
 
11.8%
031-357-6548 2
 
5.9%
031-356-9272 1
 
2.9%
031-371-0031 1
 
2.9%
031-240-9225 1
 
2.9%
031-376-4658 1
 
2.9%
031-278-7541 1
 
2.9%
031-351-9514 1
 
2.9%
031-273-0528 1
 
2.9%
Other values (15) 15
44.1%
2024-03-15T03:10:31.896817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 84
19.4%
- 70
16.1%
0 55
12.7%
1 43
9.9%
5 32
 
7.4%
7 31
 
7.1%
2 29
 
6.7%
6 29
 
6.7%
9 23
 
5.3%
8 19
 
4.4%
Other values (3) 19
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 361
83.2%
Dash Punctuation 70
 
16.1%
Other Punctuation 2
 
0.5%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 84
23.3%
0 55
15.2%
1 43
11.9%
5 32
 
8.9%
7 31
 
8.6%
2 29
 
8.0%
6 29
 
8.0%
9 23
 
6.4%
8 19
 
5.3%
4 16
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 434
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 84
19.4%
- 70
16.1%
0 55
12.7%
1 43
9.9%
5 32
 
7.4%
7 31
 
7.1%
2 29
 
6.7%
6 29
 
6.7%
9 23
 
5.3%
8 19
 
4.4%
Other values (3) 19
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 434
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 84
19.4%
- 70
16.1%
0 55
12.7%
1 43
9.9%
5 32
 
7.4%
7 31
 
7.1%
2 29
 
6.7%
6 29
 
6.7%
9 23
 
5.3%
8 19
 
4.4%
Other values (3) 19
 
4.4%

위도
Text

MISSING 

Distinct24
Distinct (%)85.7%
Missing5
Missing (%)15.2%
Memory size392.0 B
2024-03-15T03:10:32.876208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.25
Min length9

Characters and Unicode

Total characters287
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)71.4%

Sample

1st row37.1378807
2nd row37.0462038
3rd row37.2856787
4th row37.2187524
5th row37.2260181
ValueCountFrequency (%)
37.2260181 2
 
7.1%
37.2027817 2
 
7.1%
37.1378807 2
 
7.1%
37.1328787 2
 
7.1%
37.1877172 1
 
3.6%
37.1855742 1
 
3.6%
37.1550624 1
 
3.6%
37.2205933 1
 
3.6%
37.0894295 1
 
3.6%
37.2297716 1
 
3.6%
Other values (14) 14
50.0%
2024-03-15T03:10:34.177061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 57
19.9%
3 41
14.3%
. 29
10.1%
2 29
10.1%
1 29
10.1%
8 29
10.1%
5 18
 
6.3%
0 15
 
5.2%
9 15
 
5.2%
6 14
 
4.9%
Other values (2) 11
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 257
89.5%
Other Punctuation 30
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 57
22.2%
3 41
16.0%
2 29
11.3%
1 29
11.3%
8 29
11.3%
5 18
 
7.0%
0 15
 
5.8%
9 15
 
5.8%
6 14
 
5.4%
4 10
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 29
96.7%
, 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 57
19.9%
3 41
14.3%
. 29
10.1%
2 29
10.1%
1 29
10.1%
8 29
10.1%
5 18
 
6.3%
0 15
 
5.2%
9 15
 
5.2%
6 14
 
4.9%
Other values (2) 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 57
19.9%
3 41
14.3%
. 29
10.1%
2 29
10.1%
1 29
10.1%
8 29
10.1%
5 18
 
6.3%
0 15
 
5.2%
9 15
 
5.2%
6 14
 
4.9%
Other values (2) 11
 
3.8%

경도
Text

MISSING 

Distinct24
Distinct (%)85.7%
Missing5
Missing (%)15.2%
Memory size392.0 B
2024-03-15T03:10:35.265574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length11.357143
Min length10

Characters and Unicode

Total characters318
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)71.4%

Sample

1st row126.9248792
2nd row126.758972
3rd row126.8186264
4th row126.7308767
5th row126.9440272
ValueCountFrequency (%)
126.9440272 2
 
7.1%
126.8394918 2
 
7.1%
126.9248792 2
 
7.1%
126.9222299 2
 
7.1%
126.6528518 1
 
3.6%
126.6514764 1
 
3.6%
127.1000448 1
 
3.6%
126.9520351 1
 
3.6%
126.8163904 1
 
3.6%
127.0536216 1
 
3.6%
Other values (14) 14
50.0%
2024-03-15T03:10:36.537108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 57
17.9%
1 52
16.4%
6 42
13.2%
9 35
11.0%
. 29
9.1%
8 22
 
6.9%
3 20
 
6.3%
4 16
 
5.0%
0 16
 
5.0%
7 15
 
4.7%
Other values (2) 14
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
90.6%
Other Punctuation 30
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 57
19.8%
1 52
18.1%
6 42
14.6%
9 35
12.2%
8 22
 
7.6%
3 20
 
6.9%
4 16
 
5.6%
0 16
 
5.6%
7 15
 
5.2%
5 13
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 29
96.7%
, 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 57
17.9%
1 52
16.4%
6 42
13.2%
9 35
11.0%
. 29
9.1%
8 22
 
6.9%
3 20
 
6.3%
4 16
 
5.0%
0 16
 
5.0%
7 15
 
4.7%
Other values (2) 14
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 57
17.9%
1 52
16.4%
6 42
13.2%
9 35
11.0%
. 29
9.1%
8 22
 
6.9%
3 20
 
6.3%
4 16
 
5.0%
0 16
 
5.0%
7 15
 
4.7%
Other values (2) 14
 
4.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T03:10:36.726351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:37.002789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T03:10:21.380327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:10:37.182213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수보관일수관리기관전화번호위도경도
관리기관명1.0000.0000.0000.9170.8051.0000.9910.7750.775
소재지도로명주소0.0001.0001.0000.4930.0001.0000.9500.9810.981
소재지지번주소0.0001.0001.0000.0000.0001.0000.9420.9980.998
설치목적구분0.9170.4930.0001.0000.9070.5050.0000.0000.000
카메라대수0.8050.0000.0000.9071.0000.3240.9280.0000.000
보관일수1.0001.0001.0000.5050.3241.0001.0001.0001.000
관리기관전화번호0.9910.9500.9420.0000.9281.0001.0000.9500.950
위도0.7750.9810.9980.0000.0001.0000.9501.0001.000
경도0.7750.9810.9980.0000.0001.0000.9501.0001.000
2024-03-15T03:10:37.390209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명설치목적구분보관일수
관리기관명1.0000.7350.803
설치목적구분0.7351.0000.336
보관일수0.8030.3361.000
2024-03-15T03:10:37.591761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카메라대수관리기관명설치목적구분보관일수
카메라대수1.0000.4780.6780.206
관리기관명0.4781.0000.7350.803
설치목적구분0.6780.7351.0000.336
보관일수0.2060.8030.3361.000

Missing values

2024-03-15T03:10:21.779789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:10:22.488561image/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.
2024-03-15T03:10:22.868367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수보관일수관리기관전화번호위도경도데이터기준일자
0경기타운부경기도 화성시 향남읍 향남로 470경기도 화성시 향남읍 도이리 668시설물관리1581개월이내031-371-003137.1378807126.92487922023-12-31
1체육시설 1,2부<NA><NA>시설물관리921개월이내031-352-4251,031-8059-3273<NA><NA>2023-12-31
2체육시설 1부화성시 실내배드민턴장<NA>시설물관리591개월이내031-352-4251<NA><NA>2023-12-31
3체육시설 2부경기도 화성시 우정읍 기아자동차로189-2경기도 화성시 우정읍 매향리 986시설물관리611개월이내031-351-902737.0462038126.7589722023-12-31
4체육시설 2부경기도 화성시 새솔동168<NA>시설물관리161개월이내031-8059-327337.2856787126.81862642023-12-31
5체육시설 2부경기도 화성시 송산면 삼일공원로 13경기도 화성시 송산면 삼존리1286시설물관리91개월이내031-8059-327337.2187524126.73087672023-12-31
6체육시설 2부경기 화성시 봉담읍 상리3길 36경기도 화성시 봉담읍 상리713시설물관리211개월이내031-8059-327337.2260181126.94402722023-12-31
7체육시설 2부경기도 화성시 향남읍 행정동로 96경기도 화성시 향남읍 행정리 478시설물관리131개월이내031-8059-327337.2260181126.94402722023-12-31
8체육시설 2부경기도 화성시 매송면 매송로 41경기도 화성시 매송면 어천리380-1시설물관리101개월이내031-8059-327337.251593126.90953522023-12-31
9체육시설 2부경기도 화성시 서신면 궁평항로 1702경기도 화성시 서신면 매화리274시설물관리231개월이내031-8059-327337.1666786126.70933662023-12-31
관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수보관일수관리기관전화번호위도경도데이터기준일자
23주차운영2부(중동) 경기도 화성시 중동 370-1,(동탄) 경기도 화성시 석우동 590-26,(향남) 경기도 화성시 향남읍 장짐리 산 34외 4필지<NA>시설물관리871개월이내031-357-6548<NA><NA>2023-12-31
24스포츠사업처체육센터경기도 화성시 봉담읍 하가등안길 100경기도 화성시 봉담읍 하가등리 107-1시설물관리291개월이내031-227-767037.151478126.93819192023-12-31
25스포츠사업처체육센터경기도 화성시 동탄대로시범길 133경기도 화성시 청계동 530 동탄중앙어울림센터시설물관리801개월이내031-376-940337.1995585127.11230092023-12-31
26스포츠사업처체육센터경기도 화성시 반월체육공원길 92경기도 화성시 반월도 968시설물관리901개월이내031-273-052837.2297716127.05362162023-12-31
27스포츠사업처체육센터경기도 화성시 우정읍 쌍봉로 109-10경기도 화성시 우정읍 조암리 838 화성남부국민체육센터시설물관리391개월이내031-351-951437.0894295126.81639042023-12-31
28스포츠사업처체육센터경기도 화성시 봉담읍 동화길 18경기도 화성시 봉담읍 동화리 406-1시설물관리711개월이내031-278-754137.2205933126.95203512023-12-31
29공영버스 cctv경기도 화성시 장지동 산 115-6번지<NA>차량방범19814일(저장능력내)031-376-465837.1550624127.10004482023-12-31
30공영버스 cctv경기도 화성시 향남읍 향남로 424경기도 화성시 향남읍 행정리 472-1차량방범30114일(저장능력내)031-353-054737.1328787126.92222992023-12-31
31공영버스 cctv경기도 화성시 남양읍 남양리 2210번지경기도 화성시 남양읍 남양중앙로 400-8차량방범18614일(저장능력내)031-366-786437.2027817126.83949182023-12-31
32공영버스 cctv경기도 화성시 서신면 전곡리 972경기도 화성시 서신면 전곡항로 40차량방범4914일(저장능력내)031-366-786437.187754126.65356352023-12-31