Overview

Dataset statistics

Number of variables19
Number of observations154
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.7 KiB
Average record size in memory157.9 B

Variable types

Numeric4
Categorical11
Text3
Boolean1

Dataset

Description그늘막 설치 현황입니다. 경기도 내 설치 위치(도로명주소,지번주소), 그늘막의 구체적 정보에 대한 정보 입니다. *그늘막은 폭염대응 기간 동안에만 설치합니다.
URLhttps://www.data.go.kr/data/15108050/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
영조물보험 가입 유무 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
제품제작업체 is highly overall correlated with 종류 and 4 other fieldsHigh correlation
설치일시 is highly overall correlated with 종류 and 4 other fieldsHigh correlation
원단명 is highly overall correlated with 종류 and 4 other fieldsHigh correlation
종류 is highly overall correlated with 펼침지름(M) and 5 other fieldsHigh correlation
설치업체 is highly overall correlated with 종류 and 4 other fieldsHigh correlation
연번 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
펼침지름(M) is highly overall correlated with 종류 and 1 other fieldsHigh correlation
읍면동(행정동) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
전체높이(M) is highly overall correlated with 펼침지름(M) and 5 other fieldsHigh correlation
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:51:06.794180
Analysis finished2023-12-12 15:51:09.530380
Duration2.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.5
Minimum1
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T00:51:09.608068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.65
Q139.25
median77.5
Q3115.75
95-th percentile146.35
Maximum154
Range153
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation44.600075
Coefficient of variation (CV)0.57548484
Kurtosis-1.2
Mean77.5
Median Absolute Deviation (MAD)38.5
Skewness0
Sum11935
Variance1989.1667
MonotonicityStrictly increasing
2023-12-13T00:51:09.750879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
107 1
 
0.6%
100 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
Other values (144) 144
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%
145 1
0.6%

종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
그늘막(고정형)
135 
그늘막(스마트형)
19 

Length

Max length9
Median length8
Mean length8.1233766
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row그늘막(고정형)
2nd row그늘막(고정형)
3rd row그늘막(고정형)
4th row그늘막(고정형)
5th row그늘막(고정형)

Common Values

ValueCountFrequency (%)
그늘막(고정형) 135
87.7%
그늘막(스마트형) 19
 
12.3%

Length

2023-12-13T00:51:09.886626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:09.977108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그늘막(고정형 135
87.7%
그늘막(스마트형 19
 
12.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경기도
154 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 154
100.0%

Length

2023-12-13T00:51:10.070136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:10.151621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 154
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
구리시
154 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구리시 154
100.0%

Length

2023-12-13T00:51:10.239282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:10.320945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시 154
100.0%

읍면동(행정동)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
갈매동
48 
동구동
26 
수택3동
19 
교문2동
17 
수택1동
14 
Other values (3)
30 

Length

Max length4
Median length3
Mean length3.4350649
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
갈매동 48
31.2%
동구동 26
16.9%
수택3동 19
 
12.3%
교문2동 17
 
11.0%
수택1동 14
 
9.1%
인창동 13
 
8.4%
교문1동 13
 
8.4%
수택2동 4
 
2.6%

Length

2023-12-13T00:51:10.420953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:10.540578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
갈매동 48
31.2%
동구동 26
16.9%
수택3동 19
 
12.3%
교문2동 17
 
11.0%
수택1동 14
 
9.1%
인창동 13
 
8.4%
교문1동 13
 
8.4%
수택2동 4
 
2.6%

관리번호
Text

UNIQUE 

Distinct154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T00:51:10.924326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.435065
Min length12

Characters and Unicode

Total characters1915
Distinct characters22
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

Unique154 ?
Unique (%)100.0%

Sample

1st row갈매동 2017-001
2nd row갈매동 2017-002
3rd row갈매동 2017-003
4th row갈매동 2017-004
5th row갈매동 2017-005
ValueCountFrequency (%)
갈매동 48
 
15.6%
동구동 26
 
8.4%
수택3동 19
 
6.2%
교문2동 17
 
5.5%
수택1동 14
 
4.5%
교문1동 13
 
4.2%
인창동 13
 
4.2%
수택2동 4
 
1.3%
2017-001 2
 
0.6%
2019-004 1
 
0.3%
Other values (151) 151
49.0%
2023-12-13T00:51:11.475210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 397
20.7%
2 353
18.4%
동 180
9.4%
1 167
8.7%
154
 
8.0%
- 154
 
8.0%
3 75
 
3.9%
갈 48
 
2.5%
매 48
 
2.5%
7 41
 
2.1%
Other values (12) 298
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1145
59.8%
Other Letter 462
24.1%
Space Separator 154
 
8.0%
Dash Punctuation 154
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 397
34.7%
2 353
30.8%
1 167
14.6%
3 75
 
6.6%
7 41
 
3.6%
8 33
 
2.9%
9 28
 
2.4%
4 19
 
1.7%
5 17
 
1.5%
6 15
 
1.3%
Other Letter
ValueCountFrequency (%)
동 180
39.0%
갈 48
 
10.4%
매 48
 
10.4%
수 37
 
8.0%
택 37
 
8.0%
교 30
 
6.5%
문 30
 
6.5%
구 26
 
5.6%
인 13
 
2.8%
창 13
 
2.8%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1453
75.9%
Hangul 462
 
24.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 397
27.3%
2 353
24.3%
1 167
11.5%
154
 
10.6%
- 154
 
10.6%
3 75
 
5.2%
7 41
 
2.8%
8 33
 
2.3%
9 28
 
1.9%
4 19
 
1.3%
Other values (2) 32
 
2.2%
Hangul
ValueCountFrequency (%)
동 180
39.0%
갈 48
 
10.4%
매 48
 
10.4%
수 37
 
8.0%
택 37
 
8.0%
교 30
 
6.5%
문 30
 
6.5%
구 26
 
5.6%
인 13
 
2.8%
창 13
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1453
75.9%
Hangul 462
 
24.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 397
27.3%
2 353
24.3%
1 167
11.5%
154
 
10.6%
- 154
 
10.6%
3 75
 
5.2%
7 41
 
2.8%
8 33
 
2.3%
9 28
 
1.9%
4 19
 
1.3%
Other values (2) 32
 
2.2%
Hangul
ValueCountFrequency (%)
동 180
39.0%
갈 48
 
10.4%
매 48
 
10.4%
수 37
 
8.0%
택 37
 
8.0%
교 30
 
6.5%
문 30
 
6.5%
구 26
 
5.6%
인 13
 
2.8%
창 13
 
2.8%

설치장소명
Text

Distinct152
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T00:51:11.753456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length14.376623
Min length7

Characters and Unicode

Total characters2214
Distinct characters252
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

Unique150 ?
Unique (%)97.4%

Sample

1st row술막사거리(한라비발디 APT)
2nd row술막사거리(상가)
3rd row새우개삼거리(더샵아파트 건너편)
4th row새우개삼거리(더샵아파트)
5th row갈매중앙로 사거리(대박통신 앞)
ValueCountFrequency (%)
앞 67
 
16.2%
횡단보도 31
 
7.5%
교통섬 13
 
3.1%
정문 10
 
2.4%
맞은편 8
 
1.9%
상가 6
 
1.4%
정문(우 6
 
1.4%
후문 5
 
1.2%
장자초등학교 5
 
1.2%
사거리 5
 
1.2%
Other values (202) 258
62.3%
2023-12-13T00:51:12.124330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
265
 
12.0%
리 92
 
4.2%
) 83
 
3.7%
( 83
 
3.7%
앞 68
 
3.1%
거 68
 
3.1%
교 53
 
2.4%
사 53
 
2.4%
단 45
 
2.0%
도 39
 
1.8%
Other values (242) 1365
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1710
77.2%
Space Separator 265
 
12.0%
Close Punctuation 83
 
3.7%
Open Punctuation 83
 
3.7%
Uppercase Letter 40
 
1.8%
Decimal Number 28
 
1.3%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 92
 
5.4%
앞 68
 
4.0%
거 68
 
4.0%
교 53
 
3.1%
사 53
 
3.1%
단 45
 
2.6%
도 39
 
2.3%
보 39
 
2.3%
문 37
 
2.2%
매 35
 
2.0%
Other values (217) 1181
69.1%
Uppercase Letter
ValueCountFrequency (%)
T 8
20.0%
L 5
12.5%
A 5
12.5%
G 5
12.5%
K 4
10.0%
P 4
10.0%
S 2
 
5.0%
H 2
 
5.0%
C 1
 
2.5%
U 1
 
2.5%
Other values (3) 3
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 13
46.4%
2 8
28.6%
3 3
 
10.7%
6 2
 
7.1%
5 1
 
3.6%
4 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1710
77.2%
Common 461
 
20.8%
Latin 43
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 92
 
5.4%
앞 68
 
4.0%
거 68
 
4.0%
교 53
 
3.1%
사 53
 
3.1%
단 45
 
2.6%
도 39
 
2.3%
보 39
 
2.3%
문 37
 
2.2%
매 35
 
2.0%
Other values (217) 1181
69.1%
Latin
ValueCountFrequency (%)
T 8
18.6%
L 5
11.6%
A 5
11.6%
G 5
11.6%
K 4
9.3%
P 4
9.3%
e 3
 
7.0%
S 2
 
4.7%
H 2
 
4.7%
C 1
 
2.3%
Other values (4) 4
9.3%
Common
ValueCountFrequency (%)
265
57.5%
) 83
 
18.0%
( 83
 
18.0%
1 13
 
2.8%
2 8
 
1.7%
3 3
 
0.7%
6 2
 
0.4%
5 1
 
0.2%
4 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1710
77.2%
ASCII 504
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
265
52.6%
) 83
 
16.5%
( 83
 
16.5%
1 13
 
2.6%
T 8
 
1.6%
2 8
 
1.6%
L 5
 
1.0%
A 5
 
1.0%
G 5
 
1.0%
K 4
 
0.8%
Other values (15) 25
 
5.0%
Hangul
ValueCountFrequency (%)
리 92
 
5.4%
앞 68
 
4.0%
거 68
 
4.0%
교 53
 
3.1%
사 53
 
3.1%
단 45
 
2.6%
도 39
 
2.3%
보 39
 
2.3%
문 37
 
2.2%
매 35
 
2.0%
Other values (217) 1181
69.1%

지번주소
Text

Distinct130
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T00:51:12.439686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length17.636364
Min length16

Characters and Unicode

Total characters2716
Distinct characters34
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

Unique114 ?
Unique (%)74.0%

Sample

1st row경기도 구리시 갈매동 114-6
2nd row경기도 구리시 갈매동 114-9
3rd row경기도 구리시 갈매동 467-16
4th row경기도 구리시 갈매동 458-182
5th row경기도 구리시 갈매동 320-8
ValueCountFrequency (%)
경기도 154
24.8%
구리시 154
24.8%
갈매동 48
 
7.7%
인창동 31
 
5.0%
교문동 31
 
5.0%
수택동 23
 
3.7%
토평동 13
 
2.1%
사노동 7
 
1.1%
585 5
 
0.8%
814 4
 
0.6%
Other values (130) 150
24.2%
2023-12-13T00:51:12.992440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
620
22.8%
경 154
 
5.7%
도 154
 
5.7%
구 154
 
5.7%
리 154
 
5.7%
시 154
 
5.7%
기 154
 
5.7%
동 154
 
5.7%
- 111
 
4.1%
5 79
 
2.9%
Other values (24) 828
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1390
51.2%
Space Separator 620
22.8%
Decimal Number 595
21.9%
Dash Punctuation 111
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 154
11.1%
도 154
11.1%
구 154
11.1%
리 154
11.1%
시 154
11.1%
기 154
11.1%
동 154
11.1%
매 48
 
3.5%
갈 48
 
3.5%
문 31
 
2.2%
Other values (12) 185
13.3%
Decimal Number
ValueCountFrequency (%)
5 79
13.3%
6 73
12.3%
2 69
11.6%
1 69
11.6%
8 69
11.6%
4 61
10.3%
3 53
8.9%
9 45
7.6%
0 40
6.7%
7 37
6.2%
Space Separator
ValueCountFrequency (%)
620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1390
51.2%
Common 1326
48.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 154
11.1%
도 154
11.1%
구 154
11.1%
리 154
11.1%
시 154
11.1%
기 154
11.1%
동 154
11.1%
매 48
 
3.5%
갈 48
 
3.5%
문 31
 
2.2%
Other values (12) 185
13.3%
Common
ValueCountFrequency (%)
620
46.8%
- 111
 
8.4%
5 79
 
6.0%
6 73
 
5.5%
2 69
 
5.2%
1 69
 
5.2%
8 69
 
5.2%
4 61
 
4.6%
3 53
 
4.0%
9 45
 
3.4%
Other values (2) 77
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1390
51.2%
ASCII 1326
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
620
46.8%
- 111
 
8.4%
5 79
 
6.0%
6 73
 
5.5%
2 69
 
5.2%
1 69
 
5.2%
8 69
 
5.2%
4 61
 
4.6%
3 53
 
4.0%
9 45
 
3.4%
Other values (2) 77
 
5.8%
Hangul
ValueCountFrequency (%)
경 154
11.1%
도 154
11.1%
구 154
11.1%
리 154
11.1%
시 154
11.1%
기 154
11.1%
동 154
11.1%
매 48
 
3.5%
갈 48
 
3.5%
문 31
 
2.2%
Other values (12) 185
13.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13189
Minimum127.1108
Maximum127.15449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T00:51:13.154131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.1108
5-th percentile127.11416
Q1127.12025
median127.13446
Q3127.14113
95-th percentile127.14773
Maximum127.15449
Range0.0436896
Interquartile range (IQR)0.020882

Descriptive statistics

Standard deviation0.011513594
Coefficient of variation (CV)9.0564173 × 10-5
Kurtosis-1.1844154
Mean127.13189
Median Absolute Deviation (MAD)0.00825495
Skewness-0.25658168
Sum19578.311
Variance0.00013256285
MonotonicityNot monotonic
2023-12-13T00:51:13.335168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.132561 2
 
1.3%
127.120185 1
 
0.6%
127.1344684 1
 
0.6%
127.1305305 1
 
0.6%
127.1304262 1
 
0.6%
127.1344566 1
 
0.6%
127.1348105 1
 
0.6%
127.1315574 1
 
0.6%
127.1315457 1
 
0.6%
127.1304089 1
 
0.6%
Other values (143) 143
92.9%
ValueCountFrequency (%)
127.1107964 1
0.6%
127.110927 1
0.6%
127.1119 1
0.6%
127.112 1
0.6%
127.1128 1
0.6%
127.1131 1
0.6%
127.113952 1
0.6%
127.1140832 1
0.6%
127.1142 1
0.6%
127.1143659 1
0.6%
ValueCountFrequency (%)
127.154486 1
0.6%
127.152 1
0.6%
127.1519 1
0.6%
127.1510759 1
0.6%
127.1506297 1
0.6%
127.1496117 1
0.6%
127.1478686 1
0.6%
127.1478032 1
0.6%
127.1476869 1
0.6%
127.1469419 1
0.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.608981
Minimum37.57336
Maximum37.641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T00:51:13.524922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.57336
5-th percentile37.586461
Q137.59214
median37.603882
Q337.629349
95-th percentile37.636061
Maximum37.641
Range0.0676395
Interquartile range (IQR)0.0372097

Descriptive statistics

Standard deviation0.018258512
Coefficient of variation (CV)0.00048548275
Kurtosis-1.4389755
Mean37.608981
Median Absolute Deviation (MAD)0.01637225
Skewness0.22439821
Sum5791.7831
Variance0.00033337325
MonotonicityNot monotonic
2023-12-13T00:51:13.722141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.603809 2
 
1.3%
37.6384995 1
 
0.6%
37.58779 1
 
0.6%
37.5874138 1
 
0.6%
37.5876864 1
 
0.6%
37.587522 1
 
0.6%
37.5875283 1
 
0.6%
37.5919243 1
 
0.6%
37.5916721 1
 
0.6%
37.5874972 1
 
0.6%
Other values (143) 143
92.9%
ValueCountFrequency (%)
37.5733605 1
0.6%
37.5813092 1
0.6%
37.5830487 1
0.6%
37.5839388 1
0.6%
37.5862538 1
0.6%
37.586331 1
0.6%
37.5863482 1
0.6%
37.586349 1
0.6%
37.5865216 1
0.6%
37.5866844 1
0.6%
ValueCountFrequency (%)
37.641 1
0.6%
37.638596 1
0.6%
37.6384995 1
0.6%
37.6373 1
0.6%
37.6372 1
0.6%
37.6364797 1
0.6%
37.6363944 1
0.6%
37.6361803 1
0.6%
37.6359975 1
0.6%
37.635909 1
0.6%

설치일시
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2017-08-22
26 
2023-06-21
26 
2022-07-10
17 
2022-12-09
16 
2020-05-31
15 
Other values (12)
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)1.9%

Sample

1st row2017-08-22
2nd row2017-08-22
3rd row2017-08-22
4th row2017-08-22
5th row2017-08-22

Common Values

ValueCountFrequency (%)
2017-08-22 26
16.9%
2023-06-21 26
16.9%
2022-07-10 17
11.0%
2022-12-09 16
10.4%
2020-05-31 15
9.7%
2019-11-21 9
 
5.8%
2022-06-15 8
 
5.2%
2018-08-20 6
 
3.9%
2019-08-23 6
 
3.9%
2018-08-01 6
 
3.9%
Other values (7) 19
12.3%

Length

2023-12-13T00:51:13.928416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-08-22 26
16.9%
2023-06-21 26
16.9%
2022-07-10 17
11.0%
2022-12-09 16
10.4%
2020-05-31 15
9.7%
2019-11-21 9
 
5.8%
2022-06-15 8
 
5.2%
2018-08-01 6
 
3.9%
2021-05-28 6
 
3.9%
2019-08-23 6
 
3.9%
Other values (7) 19
12.3%

원단명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
아크릴원단(방수)
82 
방수(아크릴원단)
29 
스마트
17 
메시원단
14 
매쉬원단
 
8
Other values (2)
 
4

Length

Max length9
Median length9
Mean length7.4675325
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아크릴원단(방수)
2nd row아크릴원단(방수)
3rd row아크릴원단(방수)
4th row아크릴원단(방수)
5th row아크릴원단(방수)

Common Values

ValueCountFrequency (%)
아크릴원단(방수) 82
53.2%
방수(아크릴원단) 29
 
18.8%
스마트 17
 
11.0%
메시원단 14
 
9.1%
매쉬원단 8
 
5.2%
알루미늄 2
 
1.3%
스틸 2
 
1.3%

Length

2023-12-13T00:51:14.091897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:14.226951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아크릴원단(방수 82
53.2%
방수(아크릴원단 29
 
18.8%
스마트 17
 
11.0%
메시원단 14
 
9.1%
매쉬원단 8
 
5.2%
알루미늄 2
 
1.3%
스틸 2
 
1.3%

전체높이(M)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3.6
70 
3.5
31 
3.0
24 
4.0
19 
3.3
10 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.6
2nd row3.6
3rd row3.6
4th row3.6
5th row3.3

Common Values

ValueCountFrequency (%)
3.6 70
45.5%
3.5 31
20.1%
3.0 24
 
15.6%
4.0 19
 
12.3%
3.3 10
 
6.5%

Length

2023-12-13T00:51:14.394803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:14.558328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.6 70
45.5%
3.5 31
20.1%
3.0 24
 
15.6%
4.0 19
 
12.3%
3.3 10
 
6.5%

펼침지름(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9532468
Minimum2
Maximum5.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T00:51:14.691089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q34
95-th percentile5.4
Maximum5.4
Range3.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73486194
Coefficient of variation (CV)0.1858882
Kurtosis0.10425969
Mean3.9532468
Median Absolute Deviation (MAD)0
Skewness0.22888158
Sum608.8
Variance0.54002207
MonotonicityNot monotonic
2023-12-13T00:51:14.830804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4.0 90
58.4%
3.0 32
 
20.8%
5.4 15
 
9.7%
5.0 11
 
7.1%
3.2 4
 
2.6%
2.0 2
 
1.3%
ValueCountFrequency (%)
2.0 2
 
1.3%
3.0 32
 
20.8%
3.2 4
 
2.6%
4.0 90
58.4%
5.0 11
 
7.1%
5.4 15
 
9.7%
ValueCountFrequency (%)
5.4 15
 
9.7%
5.0 11
 
7.1%
4.0 90
58.4%
3.2 4
 
2.6%
3.0 32
 
20.8%
2.0 2
 
1.3%

제품제작업체
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
(주)피닉스코리아
63 
㈜피닉스코리아
29 
보라매컨설팅
26 
(주)유퍼니
17 
㈜토탈준아
15 
Other values (2)
 
4

Length

Max length9
Median length8
Mean length7.3831169
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
(주)피닉스코리아 63
40.9%
㈜피닉스코리아 29
18.8%
보라매컨설팅 26
16.9%
(주)유퍼니 17
 
11.0%
㈜토탈준아 15
 
9.7%
(주)대상디자인 2
 
1.3%
(주)시온조경개발 2
 
1.3%

Length

2023-12-13T00:51:15.013818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:15.230544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주)피닉스코리아 63
40.9%
㈜피닉스코리아 29
18.8%
보라매컨설팅 26
16.9%
주)유퍼니 17
 
11.0%
㈜토탈준아 15
 
9.7%
주)대상디자인 2
 
1.3%
주)시온조경개발 2
 
1.3%

설치업체
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
(주)피닉스코리아
62 
㈜피닉스코리아
30 
보라매컨설팅
26 
(주)유퍼니
17 
㈜토탈준아
15 
Other values (2)
 
4

Length

Max length9
Median length8
Mean length7.3701299
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
(주)피닉스코리아 62
40.3%
㈜피닉스코리아 30
19.5%
보라매컨설팅 26
16.9%
(주)유퍼니 17
 
11.0%
㈜토탈준아 15
 
9.7%
(주)대상디자인 2
 
1.3%
(주)시온조경개발 2
 
1.3%

Length

2023-12-13T00:51:15.484489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:15.701230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주)피닉스코리아 62
40.3%
㈜피닉스코리아 30
19.5%
보라매컨설팅 26
16.9%
주)유퍼니 17
 
11.0%
㈜토탈준아 15
 
9.7%
주)대상디자인 2
 
1.3%
주)시온조경개발 2
 
1.3%

영조물보험 가입 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size286.0 B
True
154 
ValueCountFrequency (%)
True 154
100.0%
2023-12-13T00:51:15.869504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
구리시청
154 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구리시청 154
100.0%

Length

2023-12-13T00:51:16.056083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:16.220292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시청 154
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
031-550-2162
154 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-550-2162
2nd row031-550-2162
3rd row031-550-2162
4th row031-550-2162
5th row031-550-2162

Common Values

ValueCountFrequency (%)
031-550-2162 154
100.0%

Length

2023-12-13T00:51:16.404278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:16.558383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-550-2162 154
100.0%

Interactions

2023-12-13T00:51:08.810176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:07.472623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:07.854583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.171145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.904947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:07.558084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:07.942825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.259053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.982689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:07.645820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.008741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.330105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:09.083338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:07.739191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.095465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:08.715610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:51:16.667507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류읍면동(행정동)경도위도설치일시원단명전체높이(M)펼침지름(M)제품제작업체설치업체
연번1.0000.5660.9050.8900.8750.6790.4870.7110.4220.3800.375
종류0.5661.0000.2240.1580.0001.0001.0000.7351.0001.0001.000
읍면동(행정동)0.9050.2241.0000.8200.8060.5730.3190.3710.3760.0000.000
경도0.8900.1580.8201.0000.8960.4660.2760.5410.2230.2270.214
위도0.8750.0000.8060.8961.0000.5910.1290.6020.1950.0000.000
설치일시0.6791.0000.5730.4660.5911.0000.9970.9430.7761.0000.998
원단명0.4871.0000.3190.2760.1290.9971.0000.8100.6720.9880.987
전체높이(M)0.7110.7350.3710.5410.6020.9430.8101.0000.6940.8020.799
펼침지름(M)0.4221.0000.3760.2230.1950.7760.6720.6941.0000.6860.689
제품제작업체0.3801.0000.0000.2270.0001.0000.9880.8020.6861.0001.000
설치업체0.3751.0000.0000.2140.0000.9980.9870.7990.6891.0001.000
2023-12-13T00:51:17.334101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품제작업체읍면동(행정동)설치일시원단명종류설치업체전체높이(M)
제품제작업체1.0000.0000.9650.8270.9830.9960.680
읍면동(행정동)0.0001.0000.2730.1750.1640.0000.235
설치일시0.9650.2731.0000.9580.9490.9610.805
원단명0.8270.1750.9581.0000.9830.8220.690
종류0.9830.1640.9490.9831.0000.9830.861
설치업체0.9960.0000.9610.8220.9831.0000.675
전체높이(M)0.6800.2350.8050.6900.8610.6751.000
2023-12-13T00:51:17.518717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도위도펼침지름(M)종류읍면동(행정동)설치일시원단명전체높이(M)제품제작업체설치업체
연번1.0000.770-0.889-0.1860.4250.7300.3330.2680.3660.2000.197
경도0.7701.000-0.583-0.1620.1170.5750.1940.1400.2490.1140.107
위도-0.889-0.5831.0000.1440.0000.5540.2680.0610.2870.0000.000
펼침지름(M)-0.186-0.1620.1441.0000.9870.2170.4870.4800.5560.4950.498
종류0.4250.1170.0000.9871.0000.1640.9490.9830.8610.9830.983
읍면동(행정동)0.7300.5750.5540.2170.1641.0000.2730.1750.2350.0000.000
설치일시0.3330.1940.2680.4870.9490.2731.0000.9580.8050.9650.961
원단명0.2680.1400.0610.4800.9830.1750.9581.0000.6900.8270.822
전체높이(M)0.3660.2490.2870.5560.8610.2350.8050.6901.0000.6800.675
제품제작업체0.2000.1140.0000.4950.9830.0000.9650.8270.6801.0000.996
설치업체0.1970.1070.0000.4980.9830.0000.9610.8220.6750.9961.000

Missing values

2023-12-13T00:51:09.231418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:51:09.447955image/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

연번종류시도시군구읍면동(행정동)관리번호설치장소명지번주소경도위도설치일시원단명전체높이(M)펼침지름(M)제품제작업체설치업체영조물보험 가입 유무관리기관명관리기관전화번호
01그늘막(고정형)경기도구리시갈매동갈매동 2017-001술막사거리(한라비발디 APT)경기도 구리시 갈매동 114-6127.12018537.63852017-08-22아크릴원단(방수)3.64.0보라매컨설팅보라매컨설팅Y구리시청031-550-2162
12그늘막(고정형)경기도구리시갈매동갈매동 2017-002술막사거리(상가)경기도 구리시 갈매동 114-9127.12053137.6385962017-08-22아크릴원단(방수)3.64.0보라매컨설팅보라매컨설팅Y구리시청031-550-2162
23그늘막(고정형)경기도구리시갈매동갈매동 2017-003새우개삼거리(더샵아파트 건너편)경기도 구리시 갈매동 467-16127.11092737.6261222017-08-22아크릴원단(방수)3.64.0보라매컨설팅보라매컨설팅Y구리시청031-550-2162
34그늘막(고정형)경기도구리시갈매동갈매동 2017-004새우개삼거리(더샵아파트)경기도 구리시 갈매동 458-182127.11079637.6258842017-08-22아크릴원단(방수)3.65.0보라매컨설팅보라매컨설팅Y구리시청031-550-2162
45그늘막(고정형)경기도구리시갈매동갈매동 2017-005갈매중앙로 사거리(대박통신 앞)경기도 구리시 갈매동 320-8127.11700737.6314032017-08-22아크릴원단(방수)3.33.0보라매컨설팅보라매컨설팅Y구리시청031-550-2162
56그늘막(고정형)경기도구리시갈매동갈매동 2017-006갈매역사거리(행복센터 방향)경기도 구리시 갈매동 275-29127.11471737.6320432017-08-22아크릴원단(방수)3.64.0보라매컨설팅보라매컨설팅Y구리시청031-550-2162
67그늘막(고정형)경기도구리시갈매동갈매동 2018-002갈매역사거리(주상복합)경기도 구리시 갈매동 275-19127.1148537.6323112018-03-24아크릴원단(방수)3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
78그늘막(고정형)경기도구리시갈매동갈매동 2018-003갈매역사거리(담터)경기도 구리시 갈매동 275-5127.1144837.6324282018-03-24아크릴원단(방수)3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
89그늘막(고정형)경기도구리시갈매동갈매동 2018-004갈매역사거리(담터)경기도 구리시 갈매동 275-7127.11436637.6321852018-03-24아크릴원단(방수)3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
910그늘막(고정형)경기도구리시갈매동갈매동 2019-007협동사거리(이마트 24) 횡단보도경기도 구리시 갈매동 529-2127.12173737.636482019-11-21아크릴원단(방수)3.64.0㈜토탈준아㈜토탈준아Y구리시청031-550-2162
연번종류시도시군구읍면동(행정동)관리번호설치장소명지번주소경도위도설치일시원단명전체높이(M)펼침지름(M)제품제작업체설치업체영조물보험 가입 유무관리기관명관리기관전화번호
144145그늘막(고정형)경기도구리시수택3동수택3동 2020-011수평사거리(토평공원 앞 횡단보도)경기도 구리시 토평동 990-1127.14961237.5905242020-05-31메시원단3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
145146그늘막(고정형)경기도구리시수택3동수택3동 2020-012장자1 사거리(한일아파트 앞 횡단보도)경기도 구리시 토평동 961-1127.14109537.5876742020-05-31메시원단3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
146147그늘막(고정형)경기도구리시수택3동수택3동 2020-013장자1 사거리(장자못공원 앞 횡단보고)경기도 구리시 수택동 878-1127.1408937.587442020-05-31메시원단3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
147148그늘막(고정형)경기도구리시수택3동수택3동 2020-014장자2 삼거리(삼성아파트 앞 횡단보도)경기도 구리시 토평동 962-1127.14327137.5873812020-05-31메시원단3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
148149그늘막(고정형)경기도구리시수택3동수택3동 2020-015장자2 삼거리(장자못공원 대림e편한세상아파트 앞 횡단보도)경기도 구리시 토평동 961-2127.14321437.587072020-05-31메시원단3.64.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
149150그늘막(고정형)경기도구리시수택3동수택3동 2022-008토평동 귀품판갈비 앞경기도 구리시 토평동 558-10127.14694237.5839392022-06-15매쉬원단4.03.0(주)피닉스코리아(주)피닉스코리아Y구리시청031-550-2162
150151그늘막(스마트형)경기도구리시수택3동수택3동 2022-024남가네설악추어탕경기도 구리시 토평동 558-10127.14684537.5830492022-07-10스마트3.03.2(주)유퍼니(주)유퍼니Y구리시청031-550-2162
151152그늘막(고정형)경기도구리시수택3동수택3동 2023-025구리수택행복주택아파트(북동측)경기도 구리시 수택동 862127.14227337.5917512023-06-21방수(아크릴원단)3.53.0㈜피닉스코리아㈜피닉스코리아Y구리시청031-550-2162
152153그늘막(고정형)경기도구리시수택3동수택3동 2023-026구리수택행복주택아파트 (동측)경기도 구리시 수택동 858127.14233237.5916822023-06-21방수(아크릴원단)3.53.0㈜피닉스코리아㈜피닉스코리아Y구리시청031-550-2162
153154그늘막(고정형)경기도구리시수택3동수택3동 2023-027구리365재인약국 옆경기도 구리시 수택동 858127.14256137.5916792023-06-21방수(아크릴원단)3.54.0㈜피닉스코리아㈜피닉스코리아Y구리시청031-550-2162