Overview

Dataset statistics

Number of variables15
Number of observations67
Missing cells15
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory127.0 B

Variable types

Categorical8
Text3
DateTime2
Numeric2

Dataset

Description경기도 여주시의 그늘막 설치 현황 데이터입니다. 설치장소명, 소재지도로명주소, 소재지지번주소, 높이, 펼침지름, 원단, 위도, 경도 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15100694/fileData.do

Alerts

기준년도 has constant value ""Constant
시군명 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
펼침지름 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
읍면동명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
높이 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
소재지도로명주소 is highly overall correlated with 높이 and 2 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 소재지도로명주소 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 읍면동명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 읍면동명 and 2 other fieldsHigh correlation
소재지도로명주소 is highly imbalanced (61.3%)Imbalance
설치장소명 has 1 (1.5%) missing valuesMissing
설치일자 has 14 (20.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:08:06.815728
Analysis finished2023-12-12 13:08:08.146660
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023
67 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 67
100.0%

Length

2023-12-12T22:08:08.207143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:08.298243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 67
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
여주시
67 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여주시 67
100.0%

Length

2023-12-12T22:08:08.775358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:08.874729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여주시 67
100.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size668.0 B
여흥동
22 
오학동
19 
중앙동
18 
점동면
3 
가남읍
 
2
Other values (2)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row가남읍
2nd row가남읍
3rd row점동면
4th row점동면
5th row점동면

Common Values

ValueCountFrequency (%)
여흥동 22
32.8%
오학동 19
28.4%
중앙동 18
26.9%
점동면 3
 
4.5%
가남읍 2
 
3.0%
능서면 2
 
3.0%
대신면 1
 
1.5%

Length

2023-12-12T22:08:08.978771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:09.111196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여흥동 22
32.8%
오학동 19
28.4%
중앙동 18
26.9%
점동면 3
 
4.5%
가남읍 2
 
3.0%
능서면 2
 
3.0%
대신면 1
 
1.5%

관리번호
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T22:08:09.366726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6.7462687
Min length3

Characters and Unicode

Total characters452
Distinct characters22
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

Unique65 ?
Unique (%)97.0%

Sample

1st row2021-10
2nd row2020-012
3rd row점동3
4th row점동02
5th row2017-03
ValueCountFrequency (%)
여흥18 2
 
3.0%
2021-04 1
 
1.5%
2020-010 1
 
1.5%
오학15 1
 
1.5%
오학14 1
 
1.5%
2020-스마트02 1
 
1.5%
2020-004 1
 
1.5%
2020-003 1
 
1.5%
2020-002 1
 
1.5%
2021-10 1
 
1.5%
Other values (56) 56
83.6%
2023-12-12T22:08:09.833775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
31.0%
2 85
18.8%
1 62
13.7%
- 50
 
11.1%
8 17
 
3.8%
9 15
 
3.3%
3 9
 
2.0%
7 9
 
2.0%
4 8
 
1.8%
학 7
 
1.5%
Other values (12) 50
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 358
79.2%
Dash Punctuation 50
 
11.1%
Other Letter 44
 
9.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 7
15.9%
오 7
15.9%
앙 5
11.4%
중 5
11.4%
스 4
9.1%
마 4
9.1%
트 4
9.1%
여 2
 
4.5%
동 2
 
4.5%
흥 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 140
39.1%
2 85
23.7%
1 62
17.3%
8 17
 
4.7%
9 15
 
4.2%
3 9
 
2.5%
7 9
 
2.5%
4 8
 
2.2%
5 7
 
2.0%
6 6
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
90.3%
Hangul 44
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
34.3%
2 85
20.8%
1 62
15.2%
- 50
 
12.3%
8 17
 
4.2%
9 15
 
3.7%
3 9
 
2.2%
7 9
 
2.2%
4 8
 
2.0%
5 7
 
1.7%
Hangul
ValueCountFrequency (%)
학 7
15.9%
오 7
15.9%
앙 5
11.4%
중 5
11.4%
스 4
9.1%
마 4
9.1%
트 4
9.1%
여 2
 
4.5%
동 2
 
4.5%
흥 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
90.3%
Hangul 44
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
34.3%
2 85
20.8%
1 62
15.2%
- 50
 
12.3%
8 17
 
4.2%
9 15
 
3.7%
3 9
 
2.2%
7 9
 
2.2%
4 8
 
2.0%
5 7
 
1.7%
Hangul
ValueCountFrequency (%)
학 7
15.9%
오 7
15.9%
앙 5
11.4%
중 5
11.4%
스 4
9.1%
마 4
9.1%
트 4
9.1%
여 2
 
4.5%
동 2
 
4.5%
흥 2
 
4.5%

설치장소명
Text

MISSING 

Distinct58
Distinct (%)87.9%
Missing1
Missing (%)1.5%
Memory size668.0 B
2023-12-12T22:08:10.122931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.1666667
Min length3

Characters and Unicode

Total characters605
Distinct characters106
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

Unique52 ?
Unique (%)78.8%

Sample

1st row가남교차로 교통섬
2nd row제일고 앞 교통섬
3rd row점동초등학교 정문 앞
4th row점동 토종순대국 앞
5th row원부교
ValueCountFrequency (%)
앞 36
22.5%
교통섬 11
 
6.9%
여주역 7
 
4.4%
사거리 7
 
4.4%
아이파크 6
 
3.8%
터미널 4
 
2.5%
횡단보도 4
 
2.5%
푸르지오 4
 
2.5%
클라테르 4
 
2.5%
정문 3
 
1.9%
Other values (62) 74
46.2%
2023-12-12T22:08:10.506074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
15.5%
앞 36
 
6.0%
교 27
 
4.5%
리 24
 
4.0%
거 23
 
3.8%
사 21
 
3.5%
여 18
 
3.0%
주 14
 
2.3%
섬 11
 
1.8%
통 11
 
1.8%
Other values (96) 326
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
80.2%
Space Separator 94
 
15.5%
Decimal Number 12
 
2.0%
Open Punctuation 7
 
1.2%
Close Punctuation 7
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 36
 
7.4%
교 27
 
5.6%
리 24
 
4.9%
거 23
 
4.7%
사 21
 
4.3%
여 18
 
3.7%
주 14
 
2.9%
섬 11
 
2.3%
통 11
 
2.3%
도 10
 
2.1%
Other values (89) 290
59.8%
Decimal Number
ValueCountFrequency (%)
2 5
41.7%
1 3
25.0%
4 2
 
16.7%
3 2
 
16.7%
Space Separator
ValueCountFrequency (%)
94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
80.2%
Common 120
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 36
 
7.4%
교 27
 
5.6%
리 24
 
4.9%
거 23
 
4.7%
사 21
 
4.3%
여 18
 
3.7%
주 14
 
2.9%
섬 11
 
2.3%
통 11
 
2.3%
도 10
 
2.1%
Other values (89) 290
59.8%
Common
ValueCountFrequency (%)
94
78.3%
( 7
 
5.8%
) 7
 
5.8%
2 5
 
4.2%
1 3
 
2.5%
4 2
 
1.7%
3 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
80.2%
ASCII 120
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
78.3%
( 7
 
5.8%
) 7
 
5.8%
2 5
 
4.2%
1 3
 
2.5%
4 2
 
1.7%
3 2
 
1.7%
Hangul
ValueCountFrequency (%)
앞 36
 
7.4%
교 27
 
5.6%
리 24
 
4.9%
거 23
 
4.7%
사 21
 
4.3%
여 18
 
3.7%
주 14
 
2.9%
섬 11
 
2.3%
통 11
 
2.3%
도 10
 
2.1%
Other values (89) 290
59.8%

소재지도로명주소
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size668.0 B
54 
경기도 여주시 세종로79번길 18-9 (홍문동)
 
2
경기도 여주시 현암로 20 (현암동, 여주아이파크)
 
2
경기도 여주시 현암로 61 (현암동)
 
2
경기도 여주시 점동면 청안로 106
 
1
Other values (6)
6 

Length

Max length30
Median length1
Mean length5.7164179
Min length1

Unique

Unique7 ?
Unique (%)10.4%

Sample

1st row
2nd row
3rd row경기도 여주시 점동면 청안로 106
4th row
5th row

Common Values

ValueCountFrequency (%)
54
80.6%
경기도 여주시 세종로79번길 18-9 (홍문동) 2
 
3.0%
경기도 여주시 현암로 20 (현암동, 여주아이파크) 2
 
3.0%
경기도 여주시 현암로 61 (현암동) 2
 
3.0%
경기도 여주시 점동면 청안로 106 1
 
1.5%
경기도 여주시 여흥로172번길 28-5 (상동) 1
 
1.5%
경기도 여주시 강변로 122 (상동) 1
 
1.5%
경기도 여주시 세종로 356-8 (점봉동) 1
 
1.5%
경기도 여주시 세종로 254-7 (교동) 1
 
1.5%
경기도 여주시 청심로 139 (창동) 1
 
1.5%

Length

2023-12-12T22:08:10.658489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 13
19.4%
여주시 13
19.4%
현암동 5
 
7.5%
현암로 4
 
6.0%
상동 2
 
3.0%
여주아이파크 2
 
3.0%
61 2
 
3.0%
20 2
 
3.0%
홍문동 2
 
3.0%
18-9 2
 
3.0%
Other values (18) 20
29.9%

소재지지번주소
Text

Distinct49
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T22:08:10.894599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.537313
Min length15

Characters and Unicode

Total characters1175
Distinct characters53
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

Unique38 ?
Unique (%)56.7%

Sample

1st row경기도 여주시 가남읍 심석리 522
2nd row경기도 여주시 가남읍 심석리 330-9
3rd row경기도 여주시 점동면 청안리 117
4th row경기도 여주시 점동면 청안리 599
5th row경기도 여주시 점동면 원부리 507
ValueCountFrequency (%)
경기도 67
24.2%
여주시 67
24.2%
홍문동 15
 
5.4%
현암동 13
 
4.7%
교동 11
 
4.0%
86 5
 
1.8%
상동 5
 
1.8%
281-6 4
 
1.4%
창동 4
 
1.4%
천송동 4
 
1.4%
Other values (60) 82
29.6%
2023-12-12T22:08:11.267336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
23.6%
경 67
 
5.7%
도 67
 
5.7%
여 67
 
5.7%
주 67
 
5.7%
시 67
 
5.7%
기 67
 
5.7%
동 62
 
5.3%
- 49
 
4.2%
1 41
 
3.5%
Other values (43) 344
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 606
51.6%
Space Separator 277
23.6%
Decimal Number 243
20.7%
Dash Punctuation 49
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 67
11.1%
도 67
11.1%
여 67
11.1%
주 67
11.1%
시 67
11.1%
기 67
11.1%
동 62
10.2%
문 15
 
2.5%
홍 15
 
2.5%
현 13
 
2.1%
Other values (31) 99
16.3%
Decimal Number
ValueCountFrequency (%)
1 41
16.9%
2 32
13.2%
5 29
11.9%
6 26
10.7%
3 24
9.9%
9 22
9.1%
0 21
8.6%
8 20
8.2%
7 15
 
6.2%
4 13
 
5.3%
Space Separator
ValueCountFrequency (%)
277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 606
51.6%
Common 569
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 67
11.1%
도 67
11.1%
여 67
11.1%
주 67
11.1%
시 67
11.1%
기 67
11.1%
동 62
10.2%
문 15
 
2.5%
홍 15
 
2.5%
현 13
 
2.1%
Other values (31) 99
16.3%
Common
ValueCountFrequency (%)
277
48.7%
- 49
 
8.6%
1 41
 
7.2%
2 32
 
5.6%
5 29
 
5.1%
6 26
 
4.6%
3 24
 
4.2%
9 22
 
3.9%
0 21
 
3.7%
8 20
 
3.5%
Other values (2) 28
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 606
51.6%
ASCII 569
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
48.7%
- 49
 
8.6%
1 41
 
7.2%
2 32
 
5.6%
5 29
 
5.1%
6 26
 
4.6%
3 24
 
4.2%
9 22
 
3.9%
0 21
 
3.7%
8 20
 
3.5%
Other values (2) 28
 
4.9%
Hangul
ValueCountFrequency (%)
경 67
11.1%
도 67
11.1%
여 67
11.1%
주 67
11.1%
시 67
11.1%
기 67
11.1%
동 62
10.2%
문 15
 
2.5%
홍 15
 
2.5%
현 13
 
2.1%
Other values (31) 99
16.3%

설치일자
Date

MISSING 

Distinct11
Distinct (%)20.8%
Missing14
Missing (%)20.9%
Memory size668.0 B
Minimum2017-03-31 00:00:00
Maximum2023-06-19 00:00:00
2023-12-12T22:08:11.391181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:08:11.504590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

높이
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
53 
3
14 

Length

Max length4
Median length4
Mean length3.3731343
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row<NA>
3rd row<NA>
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 53
79.1%
3 14
 
20.9%

Length

2023-12-12T22:08:11.625578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:11.723191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
79.1%
3 14
 
20.9%

펼침지름
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
4
40 
<NA>
27 

Length

Max length4
Median length1
Mean length2.2089552
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row<NA>
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 40
59.7%
<NA> 27
40.3%

Length

2023-12-12T22:08:11.836516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:11.940816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 40
59.7%
na 27
40.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.288354
Minimum37.163201
Maximum37.374943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T22:08:12.053771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.163201
5-th percentile37.206431
Q137.282123
median37.294529
Q337.300851
95-th percentile37.3132
Maximum37.374943
Range0.2117414
Interquartile range (IQR)0.018728

Descriptive statistics

Standard deviation0.031029068
Coefficient of variation (CV)0.0008321383
Kurtosis5.826827
Mean37.288354
Median Absolute Deviation (MAD)0.0104706
Skewness-1.8383237
Sum2498.3197
Variance0.00096280305
MonotonicityNot monotonic
2023-12-12T22:08:12.183996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2789 4
 
6.0%
37.305 3
 
4.5%
37.3132 2
 
3.0%
37.3137 2
 
3.0%
37.2819529 1
 
1.5%
37.2924179 1
 
1.5%
37.2827296 1
 
1.5%
37.2792124 1
 
1.5%
37.2937305 1
 
1.5%
37.2973957 1
 
1.5%
Other values (50) 50
74.6%
ValueCountFrequency (%)
37.1632012 1
 
1.5%
37.2018564 1
 
1.5%
37.2047 1
 
1.5%
37.205113 1
 
1.5%
37.2095068 1
 
1.5%
37.2466003 1
 
1.5%
37.2634313 1
 
1.5%
37.2753 1
 
1.5%
37.2756166 1
 
1.5%
37.2789 4
6.0%
ValueCountFrequency (%)
37.3749426 1
1.5%
37.3137 2
3.0%
37.3132 2
3.0%
37.3130141 1
1.5%
37.312275 1
1.5%
37.3122437 1
1.5%
37.3122434 1
1.5%
37.3120005 1
1.5%
37.3115506 1
1.5%
37.3110366 1
1.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.63323
Minimum127.54881
Maximum127.6878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T22:08:12.315340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.54881
5-th percentile127.57703
Q1127.63312
median127.6362
Q3127.6382
95-th percentile127.65418
Maximum127.6878
Range0.1389902
Interquartile range (IQR)0.00507605

Descriptive statistics

Standard deviation0.021787431
Coefficient of variation (CV)0.00017070343
Kurtosis6.8056715
Mean127.63323
Median Absolute Deviation (MAD)0.0023814
Skewness-2.1226373
Sum8551.4264
Variance0.00047469213
MonotonicityNot monotonic
2023-12-12T22:08:12.480138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.6348 4
 
6.0%
127.6382 3
 
4.5%
127.6361 2
 
3.0%
127.6353865 1
 
1.5%
127.6139086 1
 
1.5%
127.6370809 1
 
1.5%
127.629198 1
 
1.5%
127.6260451 1
 
1.5%
127.6258326 1
 
1.5%
127.6324258 1
 
1.5%
Other values (51) 51
76.1%
ValueCountFrequency (%)
127.5488098 1
1.5%
127.5533002 1
1.5%
127.5719856 1
1.5%
127.5721975 1
1.5%
127.5883141 1
1.5%
127.6139086 1
1.5%
127.6258326 1
1.5%
127.6260451 1
1.5%
127.629189 1
1.5%
127.629198 1
1.5%
ValueCountFrequency (%)
127.6878 1
1.5%
127.6639611 1
1.5%
127.663 1
1.5%
127.6543425 1
1.5%
127.6538008 1
1.5%
127.6507066 1
1.5%
127.6502812 1
1.5%
127.6500198 1
1.5%
127.6465514 1
1.5%
127.6465043 1
1.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
경기도 여주시청
67 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 여주시청 67
100.0%

Length

2023-12-12T22:08:12.627048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:12.745242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 67
50.0%
여주시청 67
50.0%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
031-887-2553
48 
031-887-2545
10 
031-887-2554
9 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-887-2553
2nd row031-887-2553
3rd row031-887-2545
4th row031-887-2554
5th row031-887-2553

Common Values

ValueCountFrequency (%)
031-887-2553 48
71.6%
031-887-2545 10
 
14.9%
031-887-2554 9
 
13.4%

Length

2023-12-12T22:08:12.857145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:12.955337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-887-2553 48
71.6%
031-887-2545 10
 
14.9%
031-887-2554 9
 
13.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2023-06-15 00:00:00
Maximum2023-06-15 00:00:00
2023-12-12T22:08:13.041926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:08:13.147701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:08:07.575923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:08:07.442736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:08:07.662687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:08:07.503343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:08:13.253853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명관리번호설치장소명소재지도로명주소소재지지번주소설치일자위도경도관리기관전화번호
읍면동명1.0001.0001.0000.0001.0000.5060.8610.9070.085
관리번호1.0001.0000.9950.0000.9911.0001.0001.0001.000
설치장소명1.0000.9951.0000.8770.9670.8811.0000.9500.969
소재지도로명주소0.0000.0000.8771.0001.0000.4730.5080.0000.775
소재지지번주소1.0000.9910.9671.0001.0000.0000.9990.9850.922
설치일자0.5061.0000.8810.4730.0001.0000.4680.3480.799
위도0.8611.0001.0000.5080.9990.4681.0000.8940.000
경도0.9071.0000.9500.0000.9850.3480.8941.0000.420
관리기관전화번호0.0851.0000.9690.7750.9220.7990.0000.4201.000
2023-12-12T22:08:13.370376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
펼침지름읍면동명높이소재지도로명주소관리기관전화번호
펼침지름1.0001.0001.0001.0001.000
읍면동명1.0001.0001.0000.0000.040
높이1.0001.0001.0001.0001.000
소재지도로명주소1.0000.0001.0001.0000.598
관리기관전화번호1.0000.0401.0000.5981.000
2023-12-12T22:08:13.484164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도읍면동명소재지도로명주소높이펼침지름관리기관전화번호
위도1.0000.1200.6810.2491.0001.0000.000
경도0.1201.0000.7720.0001.0001.0000.190
읍면동명0.6810.7721.0000.0001.0001.0000.040
소재지도로명주소0.2490.0000.0001.0001.0001.0000.598
높이1.0001.0001.0001.0001.0001.0001.000
펼침지름1.0001.0001.0001.0001.0001.0001.000
관리기관전화번호0.0000.1900.0400.5981.0001.0001.000

Missing values

2023-12-12T22:08:07.789417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:08:07.970158image/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.
2023-12-12T22:08:08.088013image/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

기준년도시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소설치일자높이펼침지름위도경도관리기관명관리기관전화번호데이터기준일자
02023여주시가남읍2021-10가남교차로 교통섬경기도 여주시 가남읍 심석리 5222021-05-263437.201856127.54881경기도 여주시청031-887-25532023-06-15
12023여주시가남읍2020-012제일고 앞 교통섬경기도 여주시 가남읍 심석리 330-92020-03-31<NA>437.205113127.5533경기도 여주시청031-887-25532023-06-15
22023여주시점동면점동3점동초등학교 정문 앞경기도 여주시 점동면 청안로 106경기도 여주시 점동면 청안리 117<NA><NA><NA>37.2047127.663경기도 여주시청031-887-25452023-06-15
32023여주시점동면점동02점동 토종순대국 앞경기도 여주시 점동면 청안리 5992021-07-313437.209507127.663961경기도 여주시청031-887-25542023-06-15
42023여주시점동면2017-03원부교경기도 여주시 점동면 원부리 5072017-03-31<NA>437.163201127.632244경기도 여주시청031-887-25532023-06-15
52023여주시능서면2021-01<NA>경기도 여주시 능서면 신지리 11562021-05-263437.299002127.571986경기도 여주시청031-887-25532023-06-15
62023여주시능서면2020-013세종대왕릉역 앞 교통섬경기도 여주시 능서면 신지리 275-32020-03-31<NA>437.294115127.572198경기도 여주시청031-887-25532023-06-15
72023여주시대신면2020-015대신초교 앞 횡단보도경기도 여주시 대신면 율촌리 283-42020-05-01<NA>437.374943127.588314경기도 여주시청031-887-25532023-06-15
82023여주시여흥동여흥18터미널 건너 현대자동차 앞 보도경기도 여주시 홍문동 2902021-07-313437.290711127.634892경기도 여주시청031-887-25542023-06-15
92023여주시여흥동여흥18여흥초등학교 후문경기도 여주시 여흥로172번길 28-5 (상동)경기도 여주시 상동 342-2<NA><NA><NA>37.293127.6432경기도 여주시청031-887-25542023-06-15
기준년도시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소설치일자높이펼침지름위도경도관리기관명관리기관전화번호데이터기준일자
572023여주시오학동2021-06아이파크 앞 2경기도 여주시 현암동 281-62021-05-263437.312244127.633818경기도 여주시청031-887-25532023-06-15
582023여주시오학동2021-07아이파크 삼거리경기도 여주시 현암동 302-52021-05-263437.313014127.636152경기도 여주시청031-887-25532023-06-15
592023여주시오학동2021-08법원 앞 교통섬경기도 여주시 현암동 281-62021-05-263437.312275127.633182경기도 여주시청031-887-25532023-06-15
602023여주시오학동2021-09도자세상 앞경기도 여주시 천송동 538-52021-05-263437.300769127.654342경기도 여주시청031-887-25532023-06-15
612023여주시오학동2019-007신륵사 사거리경기도 여주시 천송동 561-52019-07-12<NA><NA>37.300722127.65002경기도 여주시청031-887-25532023-06-15
622023여주시오학동2019-008오학 삼거리경기도 여주시 천송동 535-42019-07-12<NA><NA>37.300684127.653801경기도 여주시청031-887-25532023-06-15
632023여주시오학동2019-009오학 사거리경기도 여주시 오학동 267-42019-07-12<NA><NA>37.311037127.645004경기도 여주시청031-887-25532023-06-15
642023여주시오학동2019-010오학 교차로경기도 여주시 현암동 2232019-07-12<NA><NA>37.305333127.637065경기도 여주시청031-887-25532023-06-15
652023여주시오학동2020-010아이파크 앞 교통섬경기도 여주시 현암동 637-632020-03-31<NA>437.311551127.631144경기도 여주시청031-887-25532023-06-15
662023여주시오학동2020-011여주법원 앞 횡단보도경기도 여주시 현암동 281-62020-03-31<NA>437.312243127.63299경기도 여주시청031-887-25532023-06-15