Overview

Dataset statistics

Number of variables10
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory87.0 B

Variable types

Numeric3
Categorical4
Text3

Dataset

Description경기도 양평군 그늘막 현황을 데이터화하여 제공합니다. 연번, 시도, 시군구, 읍면동, 관리번호, 설치장소명, 주소, 경도, 위도 설치일시 포함
Author경기도 양평군
URLhttps://www.data.go.kr/data/15103484/fileData.do

Alerts

읍면동 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
시도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 시군구 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 읍면동 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 시도 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 연번High correlation
설치일시 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
시도 is highly imbalanced (80.4%)Imbalance
시군구 is highly imbalanced (67.0%)Imbalance
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:37:21.124024
Analysis finished2023-12-12 14:37:23.128090
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:37:23.199481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-12T23:37:23.336279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

시도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
경기도
32 
경기도
 
1

Length

Max length4
Median length3
Mean length3.030303
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 32
97.0%
경기도 1
 
3.0%

Length

2023-12-12T23:37:23.482460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:23.626962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 33
100.0%

시군구
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
양평군
31 
양평군
 
2

Length

Max length4
Median length3
Mean length3.0606061
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양평군 31
93.9%
양평군 2
 
6.1%

Length

2023-12-12T23:37:23.748172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:23.866313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양평군 33
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
양평읍
12 
용문면
10 
양서면
6 
양동면
2 
옥천면
 
1
Other values (2)
2 

Length

Max length4
Median length3
Mean length3.030303
Min length3

Unique

Unique3 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
양평읍 12
36.4%
용문면 10
30.3%
양서면 6
18.2%
양동면 2
 
6.1%
옥천면 1
 
3.0%
용문면 1
 
3.0%
강하면 1
 
3.0%

Length

2023-12-12T23:37:23.977993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:24.088363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양평읍 12
36.4%
용문면 11
33.3%
양서면 6
18.2%
양동면 2
 
6.1%
옥천면 1
 
3.0%
강하면 1
 
3.0%

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:37:24.312312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.7575758
Min length1

Characters and Unicode

Total characters157
Distinct characters29
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

Unique33 ?
Unique (%)100.0%

Sample

1st row양평읍-1
2nd row양평읍-3
3rd row양평읍-4
4th row양평읍-5
5th row양평읍-6
ValueCountFrequency (%)
양평읍-1 1
 
3.0%
쉬자파크-1 1
 
3.0%
6 1
 
3.0%
5 1
 
3.0%
4 1
 
3.0%
3 1
 
3.0%
2 1
 
3.0%
1 1
 
3.0%
강하면-1 1
 
3.0%
양서면-4 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T23:37:24.738111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 26
16.6%
면 12
 
7.6%
양 11
 
7.0%
문 9
 
5.7%
용 9
 
5.7%
1 9
 
5.7%
3 6
 
3.8%
4 6
 
3.8%
평 5
 
3.2%
지 5
 
3.2%
Other values (19) 59
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
61.8%
Decimal Number 33
 
21.0%
Dash Punctuation 26
 
16.6%
Control 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 12
12.4%
양 11
11.3%
문 9
 
9.3%
용 9
 
9.3%
평 5
 
5.2%
지 5
 
5.2%
광 5
 
5.2%
산 5
 
5.2%
읍 5
 
5.2%
관 5
 
5.2%
Other values (10) 26
26.8%
Decimal Number
ValueCountFrequency (%)
1 9
27.3%
3 6
18.2%
4 6
18.2%
2 5
15.2%
5 4
12.1%
6 2
 
6.1%
7 1
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
61.8%
Common 60
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 12
12.4%
양 11
11.3%
문 9
 
9.3%
용 9
 
9.3%
평 5
 
5.2%
지 5
 
5.2%
광 5
 
5.2%
산 5
 
5.2%
읍 5
 
5.2%
관 5
 
5.2%
Other values (10) 26
26.8%
Common
ValueCountFrequency (%)
- 26
43.3%
1 9
 
15.0%
3 6
 
10.0%
4 6
 
10.0%
2 5
 
8.3%
5 4
 
6.7%
6 2
 
3.3%
1
 
1.7%
7 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
61.8%
ASCII 60
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 26
43.3%
1 9
 
15.0%
3 6
 
10.0%
4 6
 
10.0%
2 5
 
8.3%
5 4
 
6.7%
6 2
 
3.3%
1
 
1.7%
7 1
 
1.7%
Hangul
ValueCountFrequency (%)
면 12
12.4%
양 11
11.3%
문 9
 
9.3%
용 9
 
9.3%
평 5
 
5.2%
지 5
 
5.2%
광 5
 
5.2%
산 5
 
5.2%
읍 5
 
5.2%
관 5
 
5.2%
Other values (10) 26
26.8%

설치장소명
Text

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:37:24.978625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length11.878788
Min length7

Characters and Unicode

Total characters392
Distinct characters102
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)72.7%

Sample

1st row양평읍 터미널사거리 횡단보도(터미널앞)
2nd row양평중학교 건너편 카센터
3rd row양근교 앞 택시정류장 횡단보도
4th row양평동초교 앞 횡단보도
5th row양평동초교 앞 횡단보도(건너편)
ValueCountFrequency (%)
앞 13
 
13.7%
횡단보도 6
 
6.3%
옆 4
 
4.2%
쉬자파크 4
 
4.2%
밑 4
 
4.2%
입구 4
 
4.2%
용문산관광지 3
 
3.2%
사거리 3
 
3.2%
하천 3
 
3.2%
용문고등학교 2
 
2.1%
Other values (39) 49
51.6%
2023-12-12T23:37:25.414824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
15.8%
앞 14
 
3.6%
문 11
 
2.8%
교 10
 
2.6%
리 10
 
2.6%
양 10
 
2.6%
도 9
 
2.3%
용 8
 
2.0%
자 8
 
2.0%
횡 8
 
2.0%
Other values (92) 242
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
81.4%
Space Separator 62
 
15.8%
Uppercase Letter 4
 
1.0%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Decimal Number 2
 
0.5%
Control 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 14
 
4.4%
문 11
 
3.4%
교 10
 
3.1%
리 10
 
3.1%
양 10
 
3.1%
도 9
 
2.8%
용 8
 
2.5%
자 8
 
2.5%
횡 8
 
2.5%
단 8
 
2.5%
Other values (82) 223
69.9%
Uppercase Letter
ValueCountFrequency (%)
U 1
25.0%
C 1
25.0%
G 1
25.0%
S 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
81.4%
Common 69
 
17.6%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 14
 
4.4%
문 11
 
3.4%
교 10
 
3.1%
리 10
 
3.1%
양 10
 
3.1%
도 9
 
2.8%
용 8
 
2.5%
자 8
 
2.5%
횡 8
 
2.5%
단 8
 
2.5%
Other values (82) 223
69.9%
Common
ValueCountFrequency (%)
62
89.9%
) 2
 
2.9%
( 2
 
2.9%
1
 
1.4%
2 1
 
1.4%
5 1
 
1.4%
Latin
ValueCountFrequency (%)
U 1
25.0%
C 1
25.0%
G 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
81.4%
ASCII 73
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
84.9%
) 2
 
2.7%
( 2
 
2.7%
U 1
 
1.4%
C 1
 
1.4%
1
 
1.4%
G 1
 
1.4%
S 1
 
1.4%
2 1
 
1.4%
5 1
 
1.4%
Hangul
ValueCountFrequency (%)
앞 14
 
4.4%
문 11
 
3.4%
교 10
 
3.1%
리 10
 
3.1%
양 10
 
3.1%
도 9
 
2.8%
용 8
 
2.5%
자 8
 
2.5%
횡 8
 
2.5%
단 8
 
2.5%
Other values (82) 223
69.9%

주소
Text

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:37:25.650855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length21.090909
Min length19

Characters and Unicode

Total characters696
Distinct characters48
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

Unique24 ?
Unique (%)72.7%

Sample

1st row경기도 양평군 양평읍 공흥리 480-10
2nd row경기도 양평군 양평읍 공흥리 721-1
3rd row경기도 양평군 양평읍 양근리 403-17
4th row경기도 양평군 양평읍 도곡리 853-9
5th row경기도 양평군 양평읍 백안리 501-2
ValueCountFrequency (%)
경기도 33
20.0%
양평군 33
20.0%
양평읍 12
 
7.3%
용문면 11
 
6.7%
양서면 6
 
3.6%
공흥리 5
 
3.0%
신점리 5
 
3.0%
백안리 5
 
3.0%
다문리 4
 
2.4%
용담리 3
 
1.8%
Other values (39) 48
29.1%
2023-12-12T23:37:26.061476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
19.0%
양 56
 
8.0%
평 45
 
6.5%
도 34
 
4.9%
경 33
 
4.7%
군 33
 
4.7%
기 33
 
4.7%
리 33
 
4.7%
- 31
 
4.5%
5 23
 
3.3%
Other values (38) 243
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
57.5%
Decimal Number 133
 
19.1%
Space Separator 132
 
19.0%
Dash Punctuation 31
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 56
14.0%
평 45
11.2%
도 34
8.5%
경 33
8.2%
군 33
8.2%
기 33
8.2%
리 33
8.2%
면 21
 
5.2%
용 15
 
3.8%
문 15
 
3.8%
Other values (26) 82
20.5%
Decimal Number
ValueCountFrequency (%)
5 23
17.3%
1 22
16.5%
2 16
12.0%
3 13
9.8%
0 13
9.8%
7 12
9.0%
4 12
9.0%
6 11
8.3%
8 7
 
5.3%
9 4
 
3.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
57.5%
Common 296
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 56
14.0%
평 45
11.2%
도 34
8.5%
경 33
8.2%
군 33
8.2%
기 33
8.2%
리 33
8.2%
면 21
 
5.2%
용 15
 
3.8%
문 15
 
3.8%
Other values (26) 82
20.5%
Common
ValueCountFrequency (%)
132
44.6%
- 31
 
10.5%
5 23
 
7.8%
1 22
 
7.4%
2 16
 
5.4%
3 13
 
4.4%
0 13
 
4.4%
7 12
 
4.1%
4 12
 
4.1%
6 11
 
3.7%
Other values (2) 11
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
57.5%
ASCII 296
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
44.6%
- 31
 
10.5%
5 23
 
7.8%
1 22
 
7.4%
2 16
 
5.4%
3 13
 
4.4%
0 13
 
4.4%
7 12
 
4.1%
4 12
 
4.1%
6 11
 
3.7%
Other values (2) 11
 
3.7%
Hangul
ValueCountFrequency (%)
양 56
14.0%
평 45
11.2%
도 34
8.5%
경 33
8.2%
군 33
8.2%
기 33
8.2%
리 33
8.2%
면 21
 
5.2%
용 15
 
3.8%
문 15
 
3.8%
Other values (26) 82
20.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.51672
Minimum127.32
Maximum127.75404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:37:26.182981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.32
5-th percentile127.32211
Q1127.4966
median127.53256
Q3127.58212
95-th percentile127.66121
Maximum127.75404
Range0.4340433
Interquartile range (IQR)0.0855151

Descriptive statistics

Standard deviation0.10997014
Coefficient of variation (CV)0.0008623978
Kurtosis0.30650338
Mean127.51672
Median Absolute Deviation (MAD)0.0495553
Skewness-0.21817184
Sum4208.0519
Variance0.012093432
MonotonicityNot monotonic
2023-12-12T23:37:26.293887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
127.581047 3
 
9.1%
127.5325598 2
 
6.1%
127.5821151 2
 
6.1%
127.533246 2
 
6.1%
127.3233234 1
 
3.0%
127.5028 1
 
3.0%
127.5974 1
 
3.0%
127.5906 1
 
3.0%
127.3234 1
 
3.0%
127.32 1
 
3.0%
Other values (18) 18
54.5%
ValueCountFrequency (%)
127.32 1
3.0%
127.3202952 1
3.0%
127.3233234 1
3.0%
127.3234 1
3.0%
127.3251 1
3.0%
127.399698 1
3.0%
127.4126161 1
3.0%
127.4896162 1
3.0%
127.4966 1
3.0%
127.4968 1
3.0%
ValueCountFrequency (%)
127.7540433 1
 
3.0%
127.7521244 1
 
3.0%
127.6006078 1
 
3.0%
127.5991072 1
 
3.0%
127.5974 1
 
3.0%
127.5944517 1
 
3.0%
127.5913068 1
 
3.0%
127.5906 1
 
3.0%
127.5821151 2
6.1%
127.581047 3
9.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.507328
Minimum37.419917
Maximum37.547989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:37:26.400189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.419917
5-th percentile37.457865
Q137.490483
median37.496197
Q337.542071
95-th percentile37.547225
Maximum37.547989
Range0.12807215
Interquartile range (IQR)0.05158859

Descriptive statistics

Standard deviation0.032894326
Coefficient of variation (CV)0.00087701064
Kurtosis1.1374202
Mean37.507328
Median Absolute Deviation (MAD)0.01561186
Skewness-0.7942829
Sum1237.7418
Variance0.0010820367
MonotonicityNot monotonic
2023-12-12T23:37:26.521798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37.54671506 3
 
9.1%
37.51484278 2
 
6.1%
37.54798935 2
 
6.1%
37.51180885 2
 
6.1%
37.54207136 1
 
3.0%
37.4931 1
 
3.0%
37.4878 1
 
3.0%
37.4855 1
 
3.0%
37.5417 1
 
3.0%
37.544 1
 
3.0%
Other values (18) 18
54.5%
ValueCountFrequency (%)
37.4199172 1
3.0%
37.42047085 1
3.0%
37.48279396 1
3.0%
37.48513499 1
3.0%
37.4855 1
3.0%
37.4878 1
3.0%
37.48973914 1
3.0%
37.49021926 1
3.0%
37.49048277 1
3.0%
37.4906 1
3.0%
ValueCountFrequency (%)
37.54798935 2
6.1%
37.54671506 3
9.1%
37.54406339 1
 
3.0%
37.544 1
 
3.0%
37.5428 1
 
3.0%
37.54207136 1
 
3.0%
37.5417 1
 
3.0%
37.52969609 1
 
3.0%
37.51484278 2
6.1%
37.51180885 2
6.1%

설치일시
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-08-08
7 
2020-04-10
5 
2018-08-22
4 
2019-07-30
4 
2020-03-24
4 
Other values (6)
9 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)12.1%

Sample

1st row2018-08-22
2nd row2018-08-22
3rd row2019-03-25
4th row2019-07-30
5th row2019-07-30

Common Values

ValueCountFrequency (%)
2023-08-08 7
21.2%
2020-04-10 5
15.2%
2018-08-22 4
12.1%
2019-07-30 4
12.1%
2020-03-24 4
12.1%
2020-05-07 3
9.1%
2021-04-20 2
 
6.1%
2019-03-25 1
 
3.0%
2019-08-07 1
 
3.0%
2021-06-25 1
 
3.0%

Length

2023-12-12T23:37:26.637953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-08-08 7
21.2%
2020-04-10 5
15.2%
2018-08-22 4
12.1%
2019-07-30 4
12.1%
2020-03-24 4
12.1%
2020-05-07 3
9.1%
2021-04-20 2
 
6.1%
2019-03-25 1
 
3.0%
2019-08-07 1
 
3.0%
2021-06-25 1
 
3.0%

Interactions

2023-12-12T23:37:22.475102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:21.831999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:22.161637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:22.588261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:21.972466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:22.262829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:22.695551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:22.056306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:22.357868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:37:26.755785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도시군구읍면동관리번호설치장소명주소경도위도설치일시
연번1.0000.3050.6660.6291.0000.9040.9040.5720.6070.774
시도0.3051.0000.0001.0001.0001.0001.0000.0001.0000.000
시군구0.6660.0001.0000.0001.0000.0000.0000.0000.6780.505
읍면동0.6291.0000.0001.0001.0000.9490.9490.9790.8200.745
관리번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치장소명0.9041.0000.0000.9491.0001.0001.0001.0001.0001.000
주소0.9041.0000.0000.9491.0001.0001.0001.0001.0001.000
경도0.5720.0000.0000.9791.0001.0001.0001.0000.6960.861
위도0.6071.0000.6780.8201.0001.0001.0000.6961.0000.696
설치일시0.7740.0000.5050.7451.0001.0001.0000.8610.6961.000
2023-12-12T23:37:26.867201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동설치일시시도시군구
읍면동1.0000.4430.9160.000
설치일시0.4431.0000.0000.400
시도0.9160.0001.0000.000
시군구0.0000.4000.0001.000
2023-12-12T23:37:26.949842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도위도시도시군구읍면동설치일시
연번1.000-0.2890.2440.1800.6130.3860.503
경도-0.2891.000-0.4240.0000.0000.7690.604
위도0.244-0.4241.0000.9330.4600.6480.395
시도0.1800.0000.9331.0000.0000.9160.000
시군구0.6130.0000.4600.0001.0000.0000.400
읍면동0.3860.7690.6480.9160.0001.0000.443
설치일시0.5030.6040.3950.0000.4000.4431.000

Missing values

2023-12-12T23:37:22.871770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:37:23.062762image/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

연번시도시군구읍면동관리번호설치장소명주소경도위도설치일시
01경기도양평군양평읍양평읍-1양평읍 터미널사거리 횡단보도(터미널앞)경기도 양평군 양평읍 공흥리 480-10127.50215337.4908582018-08-22
12경기도양평군양평읍양평읍-3양평중학교 건너편 카센터경기도 양평군 양평읍 공흥리 721-1127.496637.4952018-08-22
23경기도양평군양평읍양평읍-4양근교 앞 택시정류장 횡단보도경기도 양평군 양평읍 양근리 403-17127.48961637.4919132019-03-25
34경기도양평군양평읍양평읍-5양평동초교 앞 횡단보도경기도 양평군 양평읍 도곡리 853-9127.50880737.4902192019-07-30
45경기도양평군양평읍양평읍-6양평동초교 앞 횡단보도(건너편)경기도 양평군 양평읍 백안리 501-2127.50933737.4904832019-07-30
56경기도양평군옥천면옥천면-1사나사 입구 관리사무소 앞경기도 양평군 옥천면 용천리 319-7127.50032337.5296962018-08-22
67경기도양평군양동면양동면-1양동역 앞 버스정류장 옆경기도 양평군 양동면 쌍학리 223-4127.75404337.4204712019-07-30
78경기도양평군양동면양동면-2의병교 삼거리경기도 양평군 양동면 쌍학리 750-17127.75212437.4199172021-04-20
89경기도양평군용문면용문면-1다문초등학교 앞 횡단보도경기도 양평군 용문면 다문리 626-2127.59130737.4851352018-08-22
910경기도양평군용문면용문면-3용문역 앞 버스승강장경기도 양평군 용문면 다문리 748-8127.59445237.4827942019-07-30
연번시도시군구읍면동관리번호설치장소명주소경도위도설치일시
2324경기도양평군양서면양서면-3두물머리 입구경기도 양평군 양서면 양수리 1100-2127.32029537.5440632020-05-07
2425경기도양평군양서면양서면-4양평전자과학고등학교입구경기도 양평군 양서면 국수리 331-17127.39969837.5107122020-05-07
2526경기도양평군강하면강하면-1강하체육공원 벤치경기도 양평군 강하면 운심리 28-2127.41261637.4961972021-06-25
2627경기도양평군양평읍1터미널사거리 CU 앞경기도 양평군 양평읍 공흥리 470-5127.502437.49062023-08-08
2728경기도양평군양평읍2양평중학교 앞 횡단보도경기도 양평군 양평읍 공흥리 750127.496837.49512023-08-08
2829경기도양평군양서면3두물머리 입구 사거리 꽃집경기도 양평군 양서면 양수리 1076-2127.3237.5442023-08-08
2930경기도양평군양서면4세미원 입구 앞경기도 양평군 양서면 용담리 535-4127.323437.54172023-08-08
3031경기도양평군용문면5사거리 삼천리 자전거 앞경기도 양평군 용문면 다문리 695-7127.590637.48552023-08-08
3132경기도양평군용문면6희망공원 횡단보도경기도 양평군 용문면 다문리 351-6127.597437.48782023-08-08
3233경기도양평군양평읍7GS25 양평길병원점 앞경기도 양평군 양평읍 공흥리 531127.502837.49312023-09-11