Overview

Dataset statistics

Number of variables10
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory88.6 B

Variable types

Text2
Numeric4
Categorical4

Dataset

Description부천시 관내 빗물이용시설 현황(위치(도로명), 시설명, 설치년도, 설치비, 집수면적, 처리시설유무, 저류조 용량, 빗물사용량, 빗물활용용도, 영간운영비, 법적시설여부)
Author경기도 부천시
URLhttps://www.data.go.kr/data/3073325/fileData.do

Alerts

설치년도 is highly overall correlated with 처리시설유무 and 1 other fieldsHigh correlation
설치비 (백만원) is highly overall correlated with 저류조 용량(세제곱미터)High correlation
집수면적(세제곱미터) is highly overall correlated with 연간 빗물사용량High correlation
저류조 용량(세제곱미터) is highly overall correlated with 설치비 (백만원)High correlation
처리시설유무 is highly overall correlated with 설치년도 and 2 other fieldsHigh correlation
연간 빗물사용량 is highly overall correlated with 집수면적(세제곱미터) and 1 other fieldsHigh correlation
빗물활용용도 is highly overall correlated with 처리시설유무 and 1 other fieldsHigh correlation
법적시설여부 is highly overall correlated with 설치년도 and 3 other fieldsHigh correlation
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:47:39.495111
Analysis finished2023-12-12 05:47:42.095968
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위치(도로명)
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T14:47:42.251367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.9310345
Min length5

Characters and Unicode

Total characters259
Distinct characters42
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

Unique27 ?
Unique (%)93.1%

Sample

1st row 경인로 92번길 33
2nd row 소사로 56
3rd row 소사동로 125
4th row 소삼로 47
5th row 소사구 연동로 89
ValueCountFrequency (%)
길주로 4
 
6.6%
소사로 3
 
4.9%
경인로 2
 
3.3%
205 2
 
3.3%
19 2
 
3.3%
역곡로 2
 
3.3%
219번길 1
 
1.6%
부일로 1
 
1.6%
203 1
 
1.6%
284 1
 
1.6%
Other values (42) 42
68.9%
2023-12-12T14:47:42.612397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
24.7%
로 29
 
11.2%
1 17
 
6.6%
2 13
 
5.0%
길 12
 
4.6%
3 12
 
4.6%
5 10
 
3.9%
소 9
 
3.5%
9 8
 
3.1%
4 8
 
3.1%
Other values (32) 77
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
40.5%
Decimal Number 90
34.7%
Space Separator 64
24.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 29
27.6%
길 12
11.4%
소 9
 
8.6%
사 7
 
6.7%
번 6
 
5.7%
주 5
 
4.8%
경 3
 
2.9%
인 3
 
2.9%
곡 3
 
2.9%
동 3
 
2.9%
Other values (21) 25
23.8%
Decimal Number
ValueCountFrequency (%)
1 17
18.9%
2 13
14.4%
3 12
13.3%
5 10
11.1%
9 8
8.9%
4 8
8.9%
0 7
7.8%
6 6
 
6.7%
8 5
 
5.6%
7 4
 
4.4%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 154
59.5%
Hangul 105
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 29
27.6%
길 12
11.4%
소 9
 
8.6%
사 7
 
6.7%
번 6
 
5.7%
주 5
 
4.8%
경 3
 
2.9%
인 3
 
2.9%
곡 3
 
2.9%
동 3
 
2.9%
Other values (21) 25
23.8%
Common
ValueCountFrequency (%)
64
41.6%
1 17
 
11.0%
2 13
 
8.4%
3 12
 
7.8%
5 10
 
6.5%
9 8
 
5.2%
4 8
 
5.2%
0 7
 
4.5%
6 6
 
3.9%
8 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154
59.5%
Hangul 105
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
41.6%
1 17
 
11.0%
2 13
 
8.4%
3 12
 
7.8%
5 10
 
6.5%
9 8
 
5.2%
4 8
 
5.2%
0 7
 
4.5%
6 6
 
3.9%
8 5
 
3.2%
Hangul
ValueCountFrequency (%)
로 29
27.6%
길 12
11.4%
소 9
 
8.6%
사 7
 
6.7%
번 6
 
5.7%
주 5
 
4.8%
경 3
 
2.9%
인 3
 
2.9%
곡 3
 
2.9%
동 3
 
2.9%
Other values (21) 25
23.8%

시설명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T14:47:42.841812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.4827586
Min length7

Characters and Unicode

Total characters275
Distinct characters116
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row 송내어울마당
2nd row 부천대학교
3rd row 소사청소년 수련관
4th row 소사푸르지오
5th row 역곡공공하수처리시설
ValueCountFrequency (%)
송내어울마당 1
 
2.7%
상동스카이뷰자이아파트 1
 
2.7%
스타필드시티 1
 
2.7%
부천옥길점 1
 
2.7%
고강동자동차매매센터 1
 
2.7%
인천지방검찰청 1
 
2.7%
부천지청 1
 
2.7%
별관동 1
 
2.7%
부천국민체육센터 1
 
2.7%
중동 1
 
2.7%
Other values (27) 27
73.0%
2023-12-12T14:47:43.255168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
14.5%
스 9
 
3.3%
트 8
 
2.9%
천 7
 
2.5%
학 7
 
2.5%
교 7
 
2.5%
동 6
 
2.2%
부 6
 
2.2%
리 6
 
2.2%
지 5
 
1.8%
Other values (106) 174
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
84.4%
Space Separator 40
 
14.5%
Uppercase Letter 2
 
0.7%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 9
 
3.9%
트 8
 
3.4%
천 7
 
3.0%
학 7
 
3.0%
교 7
 
3.0%
동 6
 
2.6%
부 6
 
2.6%
리 6
 
2.6%
지 5
 
2.2%
타 4
 
1.7%
Other values (102) 167
72.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
84.7%
Common 40
 
14.5%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 9
 
3.9%
트 8
 
3.4%
천 7
 
3.0%
학 7
 
3.0%
교 7
 
3.0%
동 6
 
2.6%
부 6
 
2.6%
리 6
 
2.6%
지 5
 
2.1%
타 4
 
1.7%
Other values (103) 168
72.1%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Common
ValueCountFrequency (%)
40
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
84.4%
ASCII 42
 
15.3%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
95.2%
A 1
 
2.4%
B 1
 
2.4%
Hangul
ValueCountFrequency (%)
스 9
 
3.9%
트 8
 
3.4%
천 7
 
3.0%
학 7
 
3.0%
교 7
 
3.0%
동 6
 
2.6%
부 6
 
2.6%
리 6
 
2.6%
지 5
 
2.2%
타 4
 
1.7%
Other values (102) 167
72.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.069
Minimum2006
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T14:47:43.413076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2006.8
Q12008
median2017
Q32019
95-th percentile2021
Maximum2021
Range15
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.263968
Coefficient of variation (CV)0.0026123017
Kurtosis-1.2964034
Mean2015.069
Median Absolute Deviation (MAD)3
Skewness-0.60027945
Sum58437
Variance27.70936
MonotonicityNot monotonic
2023-12-12T14:47:43.588070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2008 6
20.7%
2019 5
17.2%
2017 3
10.3%
2018 3
10.3%
2020 3
10.3%
2021 3
10.3%
2015 2
 
6.9%
2012 2
 
6.9%
2006 2
 
6.9%
ValueCountFrequency (%)
2006 2
 
6.9%
2008 6
20.7%
2012 2
 
6.9%
2015 2
 
6.9%
2017 3
10.3%
2018 3
10.3%
2019 5
17.2%
2020 3
10.3%
2021 3
10.3%
ValueCountFrequency (%)
2021 3
10.3%
2020 3
10.3%
2019 5
17.2%
2018 3
10.3%
2017 3
10.3%
2015 2
 
6.9%
2012 2
 
6.9%
2008 6
20.7%
2006 2
 
6.9%

설치비 (백만원)
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.172414
Minimum9
Maximum327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T14:47:43.715088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q120
median30
Q376
95-th percentile254
Maximum327
Range318
Interquartile range (IQR)56

Descriptive statistics

Standard deviation81.557197
Coefficient of variation (CV)1.2141472
Kurtosis3.8153755
Mean67.172414
Median Absolute Deviation (MAD)21
Skewness2.0816751
Sum1948
Variance6651.5764
MonotonicityNot monotonic
2023-12-12T14:47:43.844361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9 3
 
10.3%
30 3
 
10.3%
15 2
 
6.9%
24 2
 
6.9%
21 2
 
6.9%
65 1
 
3.4%
170 1
 
3.4%
100 1
 
3.4%
270 1
 
3.4%
230 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
9 3
10.3%
12 1
 
3.4%
14 1
 
3.4%
15 2
6.9%
20 1
 
3.4%
21 2
6.9%
24 2
6.9%
26 1
 
3.4%
30 3
10.3%
40 1
 
3.4%
ValueCountFrequency (%)
327 1
3.4%
270 1
3.4%
230 1
3.4%
170 1
3.4%
100 1
3.4%
90 1
3.4%
83 1
3.4%
76 1
3.4%
75 1
3.4%
65 1
3.4%

집수면적(세제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2855.7586
Minimum193
Maximum30110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T14:47:44.016554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193
5-th percentile301.2
Q1630
median1315
Q32229
95-th percentile9253.6
Maximum30110
Range29917
Interquartile range (IQR)1599

Descriptive statistics

Standard deviation5697.1968
Coefficient of variation (CV)1.9949854
Kurtosis20.029986
Mean2855.7586
Median Absolute Deviation (MAD)835
Skewness4.2812376
Sum82817
Variance32458052
MonotonicityNot monotonic
2023-12-12T14:47:44.221036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
630 2
 
6.9%
1188 1
 
3.4%
396 1
 
3.4%
2238 1
 
3.4%
1315 1
 
3.4%
348 1
 
3.4%
2223 1
 
3.4%
10856 1
 
3.4%
2000 1
 
3.4%
1412 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
193 1
3.4%
270 1
3.4%
348 1
3.4%
396 1
3.4%
476 1
3.4%
480 1
3.4%
512 1
3.4%
630 2
6.9%
680 1
3.4%
700 1
3.4%
ValueCountFrequency (%)
30110 1
3.4%
10856 1
3.4%
6850 1
3.4%
3915 1
3.4%
3649 1
3.4%
3146 1
3.4%
2238 1
3.4%
2229 1
3.4%
2223 1
3.4%
2000 1
3.4%

처리시설유무
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
유
12 
무
9 
유
7 
무
 
1

Length

Max length3
Median length3
Mean length2.1034483
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row 유
2nd row 유
3rd row 유
4th row 무
5th row 무

Common Values

ValueCountFrequency (%)
유 12
41.4%
무 9
31.0%
유 7
24.1%
무 1
 
3.4%

Length

2023-12-12T14:47:44.403392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:44.583346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유 19
65.5%
무 10
34.5%

저류조 용량(세제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338.22966
Minimum5
Maximum5472.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T14:47:44.743913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.8
Q150
median85.2
Q3230
95-th percentile610.76
Maximum5472.64
Range5467.64
Interquartile range (IQR)180

Descriptive statistics

Standard deviation1001.7204
Coefficient of variation (CV)2.9616576
Kurtosis27.205087
Mean338.22966
Median Absolute Deviation (MAD)57.7
Skewness5.1499191
Sum9808.66
Variance1003443.8
MonotonicityNot monotonic
2023-12-12T14:47:44.879961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
50.0 2
 
6.9%
27.5 2
 
6.9%
60.0 1
 
3.4%
136.0 1
 
3.4%
663.0 1
 
3.4%
416.52 1
 
3.4%
5472.64 1
 
3.4%
120.7 1
 
3.4%
532.4 1
 
3.4%
100.0 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
5.0 1
3.4%
6.0 1
3.4%
13.0 1
3.4%
27.5 2
6.9%
28.0 1
3.4%
30.0 1
3.4%
50.0 2
6.9%
55.0 1
3.4%
57.0 1
3.4%
60.0 1
3.4%
ValueCountFrequency (%)
5472.64 1
3.4%
663.0 1
3.4%
532.4 1
3.4%
416.52 1
3.4%
367.2 1
3.4%
357.0 1
3.4%
324.0 1
3.4%
230.0 1
3.4%
178.0 1
3.4%
150.0 1
3.4%

연간 빗물사용량
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
17 
1837
 
1
218
 
1
1
 
1
768
 
1
Other values (8)
8 

Length

Max length4
Median length1
Mean length1.6206897
Min length1

Unique

Unique12 ?
Unique (%)41.4%

Sample

1st row1837
2nd row218
3rd row1
4th row0
5th row768

Common Values

ValueCountFrequency (%)
0 17
58.6%
1837 1
 
3.4%
218 1
 
3.4%
1 1
 
3.4%
768 1
 
3.4%
파악불가 1
 
3.4%
18 1
 
3.4%
48 1
 
3.4%
6 1
 
3.4%
122 1
 
3.4%
Other values (3) 3
 
10.3%

Length

2023-12-12T14:47:45.036839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 17
58.6%
1837 1
 
3.4%
218 1
 
3.4%
1 1
 
3.4%
768 1
 
3.4%
파악불가 1
 
3.4%
18 1
 
3.4%
48 1
 
3.4%
6 1
 
3.4%
122 1
 
3.4%
Other values (3) 3
 
10.3%

빗물활용용도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
조경용수
16 
조경용수
10 
조경수 및 청소용수
2 
청소 및 조경용수
 
1

Length

Max length10
Median length6
Mean length5.6896552
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row 조경용수
2nd row 조경용수
3rd row 조경용수
4th row 조경용수
5th row 조경용수

Common Values

ValueCountFrequency (%)
조경용수 16
55.2%
조경용수 10
34.5%
조경수 및 청소용수 2
 
6.9%
청소 및 조경용수 1
 
3.4%

Length

2023-12-12T14:47:45.184634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:45.340309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조경용수 27
77.1%
및 3
 
8.6%
조경수 2
 
5.7%
청소용수 2
 
5.7%
청소 1
 
2.9%

법적시설여부
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
미대상
13 
미대상
9 
대상
4 
대상
3 

Length

Max length5
Median length4
Mean length3.862069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 대상
2nd row 대상
3rd row 대상
4th row 미대상
5th row 미대상

Common Values

ValueCountFrequency (%)
미대상 13
44.8%
미대상 9
31.0%
대상 4
 
13.8%
대상 3
 
10.3%

Length

2023-12-12T14:47:45.499149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:45.620422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미대상 22
75.9%
대상 7
 
24.1%

Interactions

2023-12-12T14:47:41.422555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.039205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.501304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.969109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:41.542315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.160846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.626582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:41.089666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:41.637084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.272868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.741135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:41.187010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:41.737526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.386544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:40.850218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:41.300532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:47:45.721877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치(도로명)시설명설치년도설치비 (백만원)집수면적(세제곱미터)처리시설유무저류조 용량(세제곱미터)연간 빗물사용량빗물활용용도법적시설여부
위치(도로명)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치년도1.0001.0001.0000.1480.1690.8500.0000.3640.6390.846
설치비 (백만원)1.0001.0000.1481.0000.6400.0001.0000.8420.0000.000
집수면적(세제곱미터)1.0001.0000.1690.6401.0000.0000.0000.8980.0000.330
처리시설유무1.0001.0000.8500.0000.0001.0000.0000.7530.9770.935
저류조 용량(세제곱미터)1.0001.0000.0001.0000.0000.0001.0000.5890.0000.000
연간 빗물사용량1.0001.0000.3640.8420.8980.7530.5891.0000.6390.893
빗물활용용도1.0001.0000.6390.0000.0000.9770.0000.6391.0000.901
법적시설여부1.0001.0000.8460.0000.3300.9350.0000.8930.9011.000
2023-12-12T14:47:46.172183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리시설유무빗물활용용도법적시설여부연간 빗물사용량
처리시설유무1.0000.7920.6590.430
빗물활용용도0.7921.0000.5860.325
법적시설여부0.6590.5861.0000.606
연간 빗물사용량0.4300.3250.6061.000
2023-12-12T14:47:46.279477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도설치비 (백만원)집수면적(세제곱미터)저류조 용량(세제곱미터)처리시설유무연간 빗물사용량빗물활용용도법적시설여부
설치년도1.0000.2560.1810.4650.6300.0600.4150.660
설치비 (백만원)0.2561.0000.3440.7370.0000.5000.0000.000
집수면적(세제곱미터)0.1810.3441.0000.4000.0000.6230.0000.272
저류조 용량(세제곱미터)0.4650.7370.4001.0000.0000.3000.0000.000
처리시설유무0.6300.0000.0000.0001.0000.4300.7920.659
연간 빗물사용량0.0600.5000.6230.3000.4301.0000.3250.606
빗물활용용도0.4150.0000.0000.0000.7920.3251.0000.586
법적시설여부0.6600.0000.2720.0000.6590.6060.5861.000

Missing values

2023-12-12T14:47:41.880402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:47:42.036074image/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

위치(도로명)시설명설치년도설치비 (백만원)집수면적(세제곱미터)처리시설유무저류조 용량(세제곱미터)연간 빗물사용량빗물활용용도법적시설여부
0경인로 92번길 33송내어울마당2015151188유60.01837조경용수대상
1소사로 56부천대학교20177530110유150.0218조경용수대상
2소사동로 125소사청소년 수련관2017601432유72.01조경용수대상
3소삼로 47소사푸르지오2012903649무230.00조경용수미대상
4소사구 연동로 89역곡공공하수처리시설2006327750무357.0768조경용수미대상
5역곡로 531수주고등학교200891265무28.0파악불가조경용수미대상
6역곡로 524수주중학교2008243146무85.20조경용수미대상
7소사로 647까치울중학교200826270무27.50조경용수미대상
8여월로 75성곡초등학교20089680무27.50조경용수미대상
9안곡로 130양지초등학교200630512유114.00조경용수미대상
위치(도로명)시설명설치년도설치비 (백만원)집수면적(세제곱미터)처리시설유무저류조 용량(세제곱미터)연간 빗물사용량빗물활용용도법적시설여부
19봉오대로556번길 21고강동자동차매매센터2019401529유81.06조경용수대상
20상일로 127인천지방검찰청 부천지청 별관동2019121412무57.0122청소 및 조경용수대상
21석천로 293부천국민체육센터2019152000유100.083조경용수대상
22소향로 181중동 센트럴파크 푸르지오201923010856유532.419조경용수미대상
23경인옛로 25한신더휴메트로아파트2020242223유120.70조경용수미대상
24길주로 205솔라리움오피스텔A202021630유50.00조경수 및 청소용수미대상
25길주로 205솔라리움오피스텔B202021630유50.00조경수 및 청소용수미대상
26중동로 19래미안부천어반비스타2021270348유5472.64824조경용수미대상
27소사로134번길 14소새울역신일해피트리20211001315유416.520조경용수미대상
28길주로234힐스테이트중동20211702238유663.00조경용수미대상