Overview

Dataset statistics

Number of variables13
Number of observations137
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory107.0 B

Variable types

Categorical6
Text3
DateTime2
Numeric2

Dataset

Description경기도 파주시 그늘막 설치현황에 관한 데이터로 설치된 읍면동, 관리번호, 설치장소, 소재지주소, 유형(고정형), 위도, 경도, 관리기관 전화번호 등의 정보를 제공
Author경기도 파주시
URLhttps://www.data.go.kr/data/15043167/fileData.do

Alerts

시군명 has constant value ""Constant
유형 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 읍면동명High correlation
경도 is highly overall correlated with 읍면동명High correlation
읍면동명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
소재지도로명주소 is highly imbalanced (74.4%)Imbalance
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:53:05.116425
Analysis finished2023-12-12 19:53:06.474839
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
파주시
137 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 137
100.0%

Length

2023-12-13T04:53:06.573478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:06.704325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 137
100.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
운정2동
36 
운정3동
15 
운정1동
14 
탄현면
12 
문산읍
10 
Other values (11)
50 

Length

Max length4
Median length4
Mean length3.620438
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운정2동 36
26.3%
운정3동 15
10.9%
운정1동 14
 
10.2%
탄현면 12
 
8.8%
문산읍 10
 
7.3%
금촌3동 10
 
7.3%
조리읍 7
 
5.1%
교하동 6
 
4.4%
파평면 5
 
3.6%
금촌1동 5
 
3.6%
Other values (6) 17
12.4%

Length

2023-12-13T04:53:06.825439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
운정2동 36
26.3%
운정3동 15
10.9%
운정1동 14
 
10.2%
탄현면 12
 
8.8%
문산읍 10
 
7.3%
금촌3동 10
 
7.3%
조리읍 7
 
5.1%
교하동 6
 
4.4%
파평면 5
 
3.6%
금촌1동 5
 
3.6%
Other values (6) 17
12.4%

관리번호
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T04:53:07.152098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.0729927
Min length5

Characters and Unicode

Total characters832
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)100.0%

Sample

1st row문산읍-1
2nd row문산읍-2
3rd row문산읍-3
4th row문산읍-5
5th row문산읍-6
ValueCountFrequency (%)
문산읍-1 1
 
0.7%
교하동-4 1
 
0.7%
운정2동-16 1
 
0.7%
운정2동-15 1
 
0.7%
운정2동-14 1
 
0.7%
운정2동-13 1
 
0.7%
운정2동-12 1
 
0.7%
운정2동-11 1
 
0.7%
운정2동-10 1
 
0.7%
운정2동-9 1
 
0.7%
Other values (127) 127
92.7%
2023-12-13T04:53:07.621279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 137
16.5%
동 91
10.9%
2 70
 
8.4%
1 68
 
8.2%
정 65
 
7.8%
운 65
 
7.8%
3 51
 
6.1%
읍 21
 
2.5%
촌 20
 
2.4%
금 20
 
2.4%
Other values (33) 224
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 431
51.8%
Decimal Number 264
31.7%
Dash Punctuation 137
 
16.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 91
21.1%
정 65
15.1%
운 65
15.1%
읍 21
 
4.9%
촌 20
 
4.6%
금 20
 
4.6%
면 19
 
4.4%
탄 16
 
3.7%
현 12
 
2.8%
산 10
 
2.3%
Other values (22) 92
21.3%
Decimal Number
ValueCountFrequency (%)
2 70
26.5%
1 68
25.8%
3 51
19.3%
4 16
 
6.1%
5 14
 
5.3%
6 11
 
4.2%
7 10
 
3.8%
0 8
 
3.0%
9 8
 
3.0%
8 8
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 431
51.8%
Common 401
48.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 91
21.1%
정 65
15.1%
운 65
15.1%
읍 21
 
4.9%
촌 20
 
4.6%
금 20
 
4.6%
면 19
 
4.4%
탄 16
 
3.7%
현 12
 
2.8%
산 10
 
2.3%
Other values (22) 92
21.3%
Common
ValueCountFrequency (%)
- 137
34.2%
2 70
17.5%
1 68
17.0%
3 51
 
12.7%
4 16
 
4.0%
5 14
 
3.5%
6 11
 
2.7%
7 10
 
2.5%
0 8
 
2.0%
9 8
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 431
51.8%
ASCII 401
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 137
34.2%
2 70
17.5%
1 68
17.0%
3 51
 
12.7%
4 16
 
4.0%
5 14
 
3.5%
6 11
 
2.7%
7 10
 
2.5%
0 8
 
2.0%
9 8
 
2.0%
Hangul
ValueCountFrequency (%)
동 91
21.1%
정 65
15.1%
운 65
15.1%
읍 21
 
4.9%
촌 20
 
4.6%
금 20
 
4.6%
면 19
 
4.4%
탄 16
 
3.7%
현 12
 
2.8%
산 10
 
2.3%
Other values (22) 92
21.3%

설치장소명
Text

Distinct124
Distinct (%)91.2%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2023-12-13T04:53:08.150318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16.5
Mean length12.860294
Min length3

Characters and Unicode

Total characters1749
Distinct characters184
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

Unique116 ?
Unique (%)85.3%

Sample

1st row문산역 앞 횡단보도
2nd row문산 홈플러스 앞
3rd row문산 현대자동차 사거리
4th row문산 사거리
5th row문산 사거리(선유과선교)
ValueCountFrequency (%)
앞 41
 
11.4%
교차로 24
 
6.7%
횡단보도 15
 
4.2%
횡단보도(1 11
 
3.1%
운정 11
 
3.1%
횡단보도(2 8
 
2.2%
사거리 8
 
2.2%
사거리(1 7
 
1.9%
사거리(2 7
 
1.9%
운정이마트 6
 
1.7%
Other values (129) 222
61.7%
2023-12-13T04:53:08.533237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
12.8%
) 70
 
4.0%
( 70
 
4.0%
교 63
 
3.6%
단 51
 
2.9%
1 48
 
2.7%
앞 45
 
2.6%
리 41
 
2.3%
도 41
 
2.3%
보 41
 
2.3%
Other values (174) 1055
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1261
72.1%
Space Separator 224
 
12.8%
Decimal Number 105
 
6.0%
Close Punctuation 70
 
4.0%
Open Punctuation 70
 
4.0%
Other Punctuation 14
 
0.8%
Dash Punctuation 3
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 63
 
5.0%
단 51
 
4.0%
앞 45
 
3.6%
리 41
 
3.3%
도 41
 
3.3%
보 41
 
3.3%
사 41
 
3.3%
횡 39
 
3.1%
거 38
 
3.0%
로 36
 
2.9%
Other values (159) 825
65.4%
Decimal Number
ValueCountFrequency (%)
1 48
45.7%
2 30
28.6%
3 13
 
12.4%
4 6
 
5.7%
5 4
 
3.8%
7 3
 
2.9%
6 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 11
78.6%
. 3
 
21.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1261
72.1%
Common 486
 
27.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 63
 
5.0%
단 51
 
4.0%
앞 45
 
3.6%
리 41
 
3.3%
도 41
 
3.3%
보 41
 
3.3%
사 41
 
3.3%
횡 39
 
3.1%
거 38
 
3.0%
로 36
 
2.9%
Other values (159) 825
65.4%
Common
ValueCountFrequency (%)
224
46.1%
) 70
 
14.4%
( 70
 
14.4%
1 48
 
9.9%
2 30
 
6.2%
3 13
 
2.7%
, 11
 
2.3%
4 6
 
1.2%
5 4
 
0.8%
7 3
 
0.6%
Other values (3) 7
 
1.4%
Latin
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1261
72.1%
ASCII 488
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
45.9%
) 70
 
14.3%
( 70
 
14.3%
1 48
 
9.8%
2 30
 
6.1%
3 13
 
2.7%
, 11
 
2.3%
4 6
 
1.2%
5 4
 
0.8%
7 3
 
0.6%
Other values (5) 9
 
1.8%
Hangul
ValueCountFrequency (%)
교 63
 
5.0%
단 51
 
4.0%
앞 45
 
3.6%
리 41
 
3.3%
도 41
 
3.3%
보 41
 
3.3%
사 41
 
3.3%
횡 39
 
3.1%
거 38
 
3.0%
로 36
 
2.9%
Other values (159) 825
65.4%

소재지도로명주소
Categorical

IMBALANCE 

Distinct14
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
120 
경기도 파주시 가람로 75 (와동동)
 
4
경기도 파주시 경의로 1010 (야당동)
 
2
경기도 파주시 문산읍 문산역로 94
 
1
경기도 파주시 문산읍 통일로1773번길 14-12
 
1
Other values (9)
 
9

Length

Max length30
Median length1
Mean length3.7080292
Min length1

Unique

Unique11 ?
Unique (%)8.0%

Sample

1st row경기도 파주시 문산읍 문산역로 94
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
120
87.6%
경기도 파주시 가람로 75 (와동동) 4
 
2.9%
경기도 파주시 경의로 1010 (야당동) 2
 
1.5%
경기도 파주시 문산읍 문산역로 94 1
 
0.7%
경기도 파주시 문산읍 통일로1773번길 14-12 1
 
0.7%
경기도 파주시 파주읍 술이홀로 380 1
 
0.7%
경기도 파주시 새꽃로 193 (금촌동) 1
 
0.7%
경기도 파주시 쇠재로 33 (금촌동) 1
 
0.7%
경기도 파주시 가나무로 79 (금촌동) 1
 
0.7%
경기도 파주시 송화로 6 (아동동) 1
 
0.7%
Other values (4) 4
 
2.9%

Length

2023-12-13T04:53:08.691558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 17
19.8%
파주시 17
19.8%
가람로 4
 
4.7%
75 4
 
4.7%
와동동 4
 
4.7%
야당동 3
 
3.5%
금촌동 3
 
3.5%
1010 2
 
2.3%
경의로 2
 
2.3%
평화로 2
 
2.3%
Other values (27) 28
32.6%

소재지지번주소
Text

Distinct96
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T04:53:09.038776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.715328
Min length16

Characters and Unicode

Total characters2564
Distinct characters69
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

Unique71 ?
Unique (%)51.8%

Sample

1st row경기도 파주시 문산읍 문산리 17-550
2nd row경기도 파주시 문산읍 당동리 933
3rd row경기도 파주시 문산읍 당동리 938-4
4th row경기도 파주시 문산읍 선유리 966-40
5th row경기도 파주시 문산읍 선유리 966-50
ValueCountFrequency (%)
경기도 137
23.1%
파주시 137
23.1%
목동동 35
 
5.9%
와동동 15
 
2.5%
탄현면 12
 
2.0%
문산읍 10
 
1.7%
야당동 9
 
1.5%
동패동 9
 
1.5%
금촌동 8
 
1.3%
870 7
 
1.2%
Other values (126) 215
36.2%
2023-12-13T04:53:09.539944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
23.2%
동 167
 
6.5%
파 145
 
5.7%
주 139
 
5.4%
경 137
 
5.3%
시 137
 
5.3%
기 137
 
5.3%
도 137
 
5.3%
1 117
 
4.6%
- 61
 
2.4%
Other values (59) 793
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1378
53.7%
Space Separator 594
23.2%
Decimal Number 531
 
20.7%
Dash Punctuation 61
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 167
12.1%
파 145
10.5%
주 139
10.1%
경 137
9.9%
시 137
9.9%
기 137
9.9%
도 137
9.9%
리 53
 
3.8%
목 35
 
2.5%
면 25
 
1.8%
Other values (47) 266
19.3%
Decimal Number
ValueCountFrequency (%)
1 117
22.0%
5 58
10.9%
9 53
10.0%
3 50
9.4%
0 50
9.4%
7 48
9.0%
2 42
 
7.9%
4 42
 
7.9%
6 39
 
7.3%
8 32
 
6.0%
Space Separator
ValueCountFrequency (%)
594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1378
53.7%
Common 1186
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 167
12.1%
파 145
10.5%
주 139
10.1%
경 137
9.9%
시 137
9.9%
기 137
9.9%
도 137
9.9%
리 53
 
3.8%
목 35
 
2.5%
면 25
 
1.8%
Other values (47) 266
19.3%
Common
ValueCountFrequency (%)
594
50.1%
1 117
 
9.9%
- 61
 
5.1%
5 58
 
4.9%
9 53
 
4.5%
3 50
 
4.2%
0 50
 
4.2%
7 48
 
4.0%
2 42
 
3.5%
4 42
 
3.5%
Other values (2) 71
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1378
53.7%
ASCII 1186
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
50.1%
1 117
 
9.9%
- 61
 
5.1%
5 58
 
4.9%
9 53
 
4.5%
3 50
 
4.2%
0 50
 
4.2%
7 48
 
4.0%
2 42
 
3.5%
4 42
 
3.5%
Other values (2) 71
 
6.0%
Hangul
ValueCountFrequency (%)
동 167
12.1%
파 145
10.5%
주 139
10.1%
경 137
9.9%
시 137
9.9%
기 137
9.9%
도 137
9.9%
리 53
 
3.8%
목 35
 
2.5%
면 25
 
1.8%
Other values (47) 266
19.3%

설치일자
Date

Distinct8
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-07-04 00:00:00
Maximum2020-08-24 00:00:00
2023-12-13T04:53:09.675501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:09.810034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
고정형
137 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고정형 137
100.0%

Length

2023-12-13T04:53:09.937047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:10.030370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형 137
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct131
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.76213
Minimum37.707241
Maximum37.954999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T04:53:10.150734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.707241
5-th percentile37.711825
Q137.725582
median37.735165
Q337.77502
95-th percentile37.87424
Maximum37.954999
Range0.247758
Interquartile range (IQR)0.0494383

Descriptive statistics

Standard deviation0.055595105
Coefficient of variation (CV)0.001472245
Kurtosis1.9094706
Mean37.76213
Median Absolute Deviation (MAD)0.0172616
Skewness1.6027201
Sum5173.4118
Variance0.0030908157
MonotonicityNot monotonic
2023-12-13T04:53:10.295584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.729019 4
 
2.9%
37.8981 3
 
2.2%
37.7773 2
 
1.5%
37.7226548 1
 
0.7%
37.723454 1
 
0.7%
37.7230646 1
 
0.7%
37.7210356 1
 
0.7%
37.7281812 1
 
0.7%
37.727902 1
 
0.7%
37.7229719 1
 
0.7%
Other values (121) 121
88.3%
ValueCountFrequency (%)
37.7072412 1
0.7%
37.7072931 1
0.7%
37.7096216 1
0.7%
37.7099309 1
0.7%
37.7100564 1
0.7%
37.7102603 1
0.7%
37.7103282 1
0.7%
37.7121996 1
0.7%
37.7122397 1
0.7%
37.7125923 1
0.7%
ValueCountFrequency (%)
37.9549992 1
 
0.7%
37.9548069 1
 
0.7%
37.9218045 1
 
0.7%
37.8982 1
 
0.7%
37.8981 3
2.2%
37.8682749 1
 
0.7%
37.86641 1
 
0.7%
37.8648073 1
 
0.7%
37.8644445 1
 
0.7%
37.8640818 1
 
0.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct131
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.7622
Minimum126.68957
Maximum126.91958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T04:53:10.432932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68957
5-th percentile126.70413
Q1126.73708
median126.75145
Q3126.7792
95-th percentile126.84668
Maximum126.91958
Range0.2300044
Interquartile range (IQR)0.0421244

Descriptive statistics

Standard deviation0.042522453
Coefficient of variation (CV)0.00033545058
Kurtosis2.437328
Mean126.7622
Median Absolute Deviation (MAD)0.0173011
Skewness1.28126
Sum17366.421
Variance0.001808159
MonotonicityNot monotonic
2023-12-13T04:53:10.619493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8224 4
 
2.9%
126.737795 4
 
2.9%
126.7872396 1
 
0.7%
126.7514528 1
 
0.7%
126.7341517 1
 
0.7%
126.7338352 1
 
0.7%
126.7335977 1
 
0.7%
126.7381703 1
 
0.7%
126.7378091 1
 
0.7%
126.737533 1
 
0.7%
Other values (121) 121
88.3%
ValueCountFrequency (%)
126.6895719 1
0.7%
126.6899279 1
0.7%
126.6907 1
0.7%
126.691 1
0.7%
126.6987422 1
0.7%
126.7025758 1
0.7%
126.7028641 1
0.7%
126.7044481 1
0.7%
126.704656 1
0.7%
126.710636 1
0.7%
ValueCountFrequency (%)
126.9195763 1
0.7%
126.9195133 1
0.7%
126.8837349 1
0.7%
126.8779823 1
0.7%
126.87727 1
0.7%
126.851023 1
0.7%
126.8483847 1
0.7%
126.8462524 1
0.7%
126.8392751 1
0.7%
126.8291396 1
0.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
파주시 안전총괄과
137 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row파주시 안전총괄과
2nd row파주시 안전총괄과
3rd row파주시 안전총괄과
4th row파주시 안전총괄과
5th row파주시 안전총괄과

Common Values

ValueCountFrequency (%)
파주시 안전총괄과 137
100.0%

Length

2023-12-13T04:53:10.758697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:10.862800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 137
50.0%
안전총괄과 137
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
031-940-5710
137 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-5710
2nd row031-940-5710
3rd row031-940-5710
4th row031-940-5710
5th row031-940-5710

Common Values

ValueCountFrequency (%)
031-940-5710 137
100.0%

Length

2023-12-13T04:53:11.011352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:11.130584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-5710 137
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2021-04-15 00:00:00
Maximum2021-04-15 00:00:00
2023-12-13T04:53:11.228147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:11.345265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:53:05.942821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:05.712605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:06.034847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:05.827450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:53:11.461622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명소재지도로명주소소재지지번주소설치일자위도경도
읍면동명1.0000.5541.0000.6340.9400.937
소재지도로명주소0.5541.0001.0000.4040.4620.000
소재지지번주소1.0001.0001.0000.9230.9990.997
설치일자0.6340.4040.9231.0000.3870.280
위도0.9400.4620.9990.3871.0000.932
경도0.9370.0000.9970.2800.9321.000
2023-12-13T04:53:11.584336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지도로명주소읍면동명
소재지도로명주소1.0000.221
읍면동명0.2211.000
2023-12-13T04:53:11.706561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도읍면동명소재지도로명주소
위도1.0000.4600.7360.201
경도0.4601.0000.7260.000
읍면동명0.7360.7261.0000.221
소재지도로명주소0.2010.0000.2211.000

Missing values

2023-12-13T04:53:06.176352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:53:06.386659image/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

시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소설치일자유형위도경도관리기관명관리기관전화번호데이터기준일자
0파주시문산읍문산읍-1문산역 앞 횡단보도경기도 파주시 문산읍 문산역로 94경기도 파주시 문산읍 문산리 17-5502018-07-04고정형37.854667126.78724파주시 안전총괄과031-940-57102021-04-15
1파주시문산읍문산읍-2문산 홈플러스 앞경기도 파주시 문산읍 당동리 9332018-07-04고정형37.868275126.78531파주시 안전총괄과031-940-57102021-04-15
2파주시문산읍문산읍-3문산 현대자동차 사거리경기도 파주시 문산읍 당동리 938-42018-07-04고정형37.864444126.783464파주시 안전총괄과031-940-57102021-04-15
3파주시문산읍문산읍-5문산 사거리경기도 파주시 문산읍 선유리 966-402018-10-26고정형37.859716126.789329파주시 안전총괄과031-940-57102021-04-15
4파주시문산읍문산읍-6문산 사거리(선유과선교)경기도 파주시 문산읍 선유리 966-502018-10-26고정형37.859969126.788865파주시 안전총괄과031-940-57102021-04-15
5파주시문산읍문산읍-7자유초교 주차장입구경기도 파주시 문산읍 통일로1773번길 14-12경기도 파주시 문산읍 선유리 891-12019-08-11고정형37.864807126.786645파주시 안전총괄과031-940-57102021-04-15
6파주시문산읍문산읍-8임진초교 정문경기도 파주시 문산읍 문산리 33-132019-08-11고정형37.854244126.784183파주시 안전총괄과031-940-57102021-04-15
7파주시문산읍문산읍-9어울림아파트 앞 횡단보도경기도 파주시 문산읍 선유리 915-42019-08-11고정형37.864082126.788433파주시 안전총괄과031-940-57102021-04-15
8파주시문산읍문산읍-10한양수자인 아파트 앞경기도 파주시 문산읍 당동리 9452020-05-15고정형37.863883126.773721파주시 안전총괄과031-940-57102021-04-15
9파주시문산읍문산읍-11파주힐스테이트 1차 113동 앞경기도 파주시 문산읍 당동리 935-22020-05-15고정형37.86641126.785154파주시 안전총괄과031-940-57102021-04-15
시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소설치일자유형위도경도관리기관명관리기관전화번호데이터기준일자
127파주시운정3동운정3동-6운정이마트 앞 삼거리 횡단보도(2)경기도 파주시 야당동 1022-52018-07-04고정형37.710056126.746405파주시 안전총괄과031-940-57102021-04-15
128파주시운정3동운정3동-7운정가구타운 입구 교차로 횡단보도(야당과선교)(1)경기도 파주시 야당동 10202018-07-04고정형37.710328126.758658파주시 안전총괄과031-940-57102021-04-15
129파주시운정3동운정3동-8운정가구타운 입구 교차로 횡단보도(야당과선교)(2)경기도 파주시 소리천로8번길 70 (야당동)경기도 파주시 야당동 10592018-07-04고정형37.709931126.758623파주시 안전총괄과031-940-57102021-04-15
130파주시운정3동운정3동-9운정 푸르지오, 아이파크 사거리경기도 파주시 동패동 17992019-05-28고정형37.717981126.737395파주시 안전총괄과031-940-57102021-04-15
131파주시운정3동운정3동-10야당동 에펠타워 사거리경기도 파주시 와동동 14132019-08-11고정형37.716911126.759693파주시 안전총괄과031-940-57102021-04-15
132파주시운정3동운정3동-11운정 푸르지오, 아이파크 사거리경기도 파주시 동패동 17912019-08-11고정형37.717904126.7369파주시 안전총괄과031-940-57102021-04-15
133파주시운정3동운정3동-12야당역 1,2번 출구 앞경기도 파주시 야당동 10402019-08-11고정형37.712989126.760559파주시 안전총괄과031-940-57102021-04-15
134파주시운정3동운정3동-13야당동 월드스테이 사거리(1)경기도 파주시 경의로 1010 (야당동)경기도 파주시 야당동 10462019-08-11고정형37.707293126.759524파주시 안전총괄과031-940-57102021-04-15
135파주시운정3동운정3동-14야당동 월드스테이 사거리(2)경기도 파주시 경의로 1010 (야당동)경기도 파주시 야당동 10462019-08-11고정형37.707241126.75898파주시 안전총괄과031-940-57102021-04-15
136파주시운정3동운정3동-15야당과선교 앞경기도 파주시 야당동 10532019-08-16고정형37.71026126.7592파주시 안전총괄과031-940-57102021-04-15