Overview

Dataset statistics

Number of variables15
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory125.1 B

Variable types

Categorical10
Boolean1
Text2
Numeric2

Dataset

Description인천광역시 남동구 비상급수시설 현황에 대한 데이터로 시도, 시군구, 읍면동, 시설종류, 용도, 개방유무, 시설명, 소재지주소, 비상발전기 보유수, 분기별 수질검사결과, 일일급수능력, 일일사용가능인원 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077740&srcSe=7661IVAWM27C61E190

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
수질검사(1분기) has constant value ""Constant
수질검사(2분기) has constant value ""Constant
수질검사(3분기) has constant value ""Constant
시설종류 is highly overall correlated with 읍면동 and 2 other fieldsHigh correlation
비상발전기 보유 수 is highly overall correlated with 시설종류 and 1 other fieldsHigh correlation
급수능력(일일 생산능력_톤) is highly overall correlated with 일일 사용가능인원 High correlation
일일 사용가능인원 is highly overall correlated with 급수능력(일일 생산능력_톤) and 2 other fieldsHigh correlation
읍면동 is highly overall correlated with 시설종류 and 1 other fieldsHigh correlation
용도 is highly overall correlated with 일일 사용가능인원 and 2 other fieldsHigh correlation
개방유무 is highly overall correlated with 읍면동High correlation
수질검사(4분기) is highly overall correlated with 일일 사용가능인원 High correlation
수질검사(4분기) is highly imbalanced (88.2%)Imbalance
소재지 도로명 주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:50:39.931208
Analysis finished2024-01-28 12:50:40.930418
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
인천광역시
63 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 63
100.0%

Length

2024-01-28T21:50:40.978852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:41.291261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 63
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
남동구
63 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 63
100.0%

Length

2024-01-28T21:50:41.364867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:41.440392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 63
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
남촌도림동
16 
장수서창동
14 
구월4동
5 
논현1동
5 
논현고잔동
5 
Other values (8)
18 

Length

Max length5
Median length5
Mean length4.5555556
Min length4

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row간석3동
2nd row간석4동
3rd row구월1동
4th row구월2동
5th row구월2동

Common Values

ValueCountFrequency (%)
남촌도림동 16
25.4%
장수서창동 14
22.2%
구월4동 5
 
7.9%
논현1동 5
 
7.9%
논현고잔동 5
 
7.9%
구월2동 4
 
6.3%
만수1동 4
 
6.3%
구월3동 3
 
4.8%
만수2동 3
 
4.8%
간석3동 1
 
1.6%
Other values (3) 3
 
4.8%

Length

2024-01-28T21:50:41.524381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남촌도림동 16
25.4%
장수서창동 14
22.2%
구월4동 5
 
7.9%
논현1동 5
 
7.9%
논현고잔동 5
 
7.9%
구월2동 4
 
6.3%
만수1동 4
 
6.3%
구월3동 3
 
4.8%
만수2동 3
 
4.8%
간석3동 1
 
1.6%
Other values (3) 3
 
4.8%

시설종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
공공용
52 
정부지원
8 
지자체
 
3

Length

Max length4
Median length3
Mean length3.1269841
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정부지원
2nd row공공용
3rd row공공용
4th row지자체
5th row지자체

Common Values

ValueCountFrequency (%)
공공용 52
82.5%
정부지원 8
 
12.7%
지자체 3
 
4.8%

Length

2024-01-28T21:50:41.623161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:41.701669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 52
82.5%
정부지원 8
 
12.7%
지자체 3
 
4.8%

용도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
생활용수
49 
음용수
14 

Length

Max length4
Median length4
Mean length3.7777778
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음용수
2nd row생활용수
3rd row생활용수
4th row음용수
5th row생활용수

Common Values

ValueCountFrequency (%)
생활용수 49
77.8%
음용수 14
 
22.2%

Length

2024-01-28T21:50:41.783693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:41.860617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용수 49
77.8%
음용수 14
 
22.2%

개방유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size195.0 B
True
35 
False
28 
ValueCountFrequency (%)
True 35
55.6%
False 28
44.4%
2024-01-28T21:50:41.923512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

민방위 비상급수시설 명
Text

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-01-28T21:50:42.099251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.952381
Min length2

Characters and Unicode

Total characters375
Distinct characters149
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)92.1%

Sample

1st row신명여고
2nd row신한목욕탕
3rd row민경식(선수촌사우나)
4th row구월체육공원
5th row석천초교
ValueCountFrequency (%)
농축수산과 5
 
7.7%
신명여고 1
 
1.5%
안상술(거산빌딩 1
 
1.5%
하나님교회 1
 
1.5%
김은자 1
 
1.5%
김번 1
 
1.5%
남동공단2호공원 1
 
1.5%
성진레미콘 1
 
1.5%
김현배(돌고래사우나 1
 
1.5%
김정곤(세원플레이팅 1
 
1.5%
Other values (51) 51
78.5%
2024-01-28T21:50:42.408912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 17
 
4.5%
) 16
 
4.3%
원 13
 
3.5%
수 12
 
3.2%
김 11
 
2.9%
농 9
 
2.4%
공 8
 
2.1%
교 7
 
1.9%
산 7
 
1.9%
이 7
 
1.9%
Other values (139) 268
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
89.3%
Open Punctuation 17
 
4.5%
Close Punctuation 16
 
4.3%
Decimal Number 3
 
0.8%
Space Separator 2
 
0.5%
Other Symbol 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 13
 
3.9%
수 12
 
3.6%
김 11
 
3.3%
농 9
 
2.7%
공 8
 
2.4%
교 7
 
2.1%
산 7
 
2.1%
이 7
 
2.1%
천 6
 
1.8%
과 6
 
1.8%
Other values (133) 249
74.3%
Decimal Number
ValueCountFrequency (%)
9 2
66.7%
2 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
89.9%
Common 38
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 13
 
3.9%
수 12
 
3.6%
김 11
 
3.3%
농 9
 
2.7%
공 8
 
2.4%
교 7
 
2.1%
산 7
 
2.1%
이 7
 
2.1%
천 6
 
1.8%
과 6
 
1.8%
Other values (134) 251
74.5%
Common
ValueCountFrequency (%)
( 17
44.7%
) 16
42.1%
9 2
 
5.3%
2
 
5.3%
2 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
89.3%
ASCII 38
 
10.1%
None 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 17
44.7%
) 16
42.1%
9 2
 
5.3%
2
 
5.3%
2 1
 
2.6%
Hangul
ValueCountFrequency (%)
원 13
 
3.9%
수 12
 
3.6%
김 11
 
3.3%
농 9
 
2.7%
공 8
 
2.4%
교 7
 
2.1%
산 7
 
2.1%
이 7
 
2.1%
천 6
 
1.8%
과 6
 
1.8%
Other values (133) 249
74.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지 도로명 주소
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-01-28T21:50:42.654679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length24.460317
Min length15

Characters and Unicode

Total characters1541
Distinct characters84
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 용천로205번길 42, 간석 3동 (간석동)
2nd row인천광역시 남동구 석정로 568, 간석 4동 (간석동)
3rd row인천광역시 남동구 남동대로 684, 구월 1동 (구월동)
4th row인천광역시 남동구 구월로 251, 구월 2동 (구월동)
5th row인천광역시 남동구 남동대로 828, 구월 2동 (구월동)
ValueCountFrequency (%)
남동구 63
19.6%
인천광역시 62
19.3%
구월동 10
 
3.1%
구월 9
 
2.8%
도림동 8
 
2.5%
1동 7
 
2.2%
만수동 7
 
2.2%
만수 5
 
1.6%
남동대로 5
 
1.6%
2동 5
 
1.6%
Other values (109) 141
43.8%
2024-01-28T21:50:42.996991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
16.8%
동 140
 
9.1%
구 87
 
5.6%
남 70
 
4.5%
인 68
 
4.4%
천 64
 
4.2%
광 63
 
4.1%
역 63
 
4.1%
시 63
 
4.1%
1 50
 
3.2%
Other values (74) 614
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 933
60.5%
Space Separator 259
 
16.8%
Decimal Number 241
 
15.6%
Other Punctuation 31
 
2.0%
Open Punctuation 30
 
1.9%
Close Punctuation 30
 
1.9%
Dash Punctuation 17
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 140
15.0%
구 87
 
9.3%
남 70
 
7.5%
인 68
 
7.3%
천 64
 
6.9%
광 63
 
6.8%
역 63
 
6.8%
시 63
 
6.8%
로 47
 
5.0%
수 21
 
2.3%
Other values (59) 247
26.5%
Decimal Number
ValueCountFrequency (%)
1 50
20.7%
2 46
19.1%
4 27
11.2%
5 24
10.0%
8 19
 
7.9%
7 17
 
7.1%
6 17
 
7.1%
3 15
 
6.2%
9 14
 
5.8%
0 12
 
5.0%
Space Separator
ValueCountFrequency (%)
259
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 933
60.5%
Common 608
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 140
15.0%
구 87
 
9.3%
남 70
 
7.5%
인 68
 
7.3%
천 64
 
6.9%
광 63
 
6.8%
역 63
 
6.8%
시 63
 
6.8%
로 47
 
5.0%
수 21
 
2.3%
Other values (59) 247
26.5%
Common
ValueCountFrequency (%)
259
42.6%
1 50
 
8.2%
2 46
 
7.6%
, 31
 
5.1%
( 30
 
4.9%
) 30
 
4.9%
4 27
 
4.4%
5 24
 
3.9%
8 19
 
3.1%
- 17
 
2.8%
Other values (5) 75
 
12.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 933
60.5%
ASCII 608
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
42.6%
1 50
 
8.2%
2 46
 
7.6%
, 31
 
5.1%
( 30
 
4.9%
) 30
 
4.9%
4 27
 
4.4%
5 24
 
3.9%
8 19
 
3.1%
- 17
 
2.8%
Other values (5) 75
 
12.3%
Hangul
ValueCountFrequency (%)
동 140
15.0%
구 87
 
9.3%
남 70
 
7.5%
인 68
 
7.3%
천 64
 
6.9%
광 63
 
6.8%
역 63
 
6.8%
시 63
 
6.8%
로 47
 
5.0%
수 21
 
2.3%
Other values (59) 247
26.5%

비상발전기 보유 수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
0
51 
1
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 51
81.0%
1 12
 
19.0%

Length

2024-01-28T21:50:43.102465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:43.192189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
81.0%
1 12
 
19.0%

수질검사(1분기)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
적합
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 63
100.0%

Length

2024-01-28T21:50:43.282853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:43.353952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 63
100.0%

수질검사(2분기)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
적합
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 63
100.0%

Length

2024-01-28T21:50:43.464129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:43.539916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 63
100.0%

수질검사(3분기)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
적합
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 63
100.0%

Length

2024-01-28T21:50:43.621269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:43.705106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 63
100.0%

수질검사(4분기)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
적합
62 
부적합
 
1

Length

Max length3
Median length2
Mean length2.015873
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
적합 62
98.4%
부적합 1
 
1.6%

Length

2024-01-28T21:50:43.795076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:43.877661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 62
98.4%
부적합 1
 
1.6%

급수능력(일일 생산능력_톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.07937
Minimum30
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-01-28T21:50:43.961666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile46
Q170
median90
Q3100
95-th percentile197
Maximum300
Range270
Interquartile range (IQR)30

Descriptive statistics

Standard deviation53.449494
Coefficient of variation (CV)0.53407108
Kurtosis4.6513748
Mean100.07937
Median Absolute Deviation (MAD)18
Skewness1.9830042
Sum6305
Variance2856.8484
MonotonicityNot monotonic
2024-01-28T21:50:44.077833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
100 11
17.5%
90 6
 
9.5%
60 5
 
7.9%
86 3
 
4.8%
83 3
 
4.8%
30 3
 
4.8%
82 3
 
4.8%
170 3
 
4.8%
55 3
 
4.8%
80 2
 
3.2%
Other values (18) 21
33.3%
ValueCountFrequency (%)
30 3
4.8%
45 1
 
1.6%
55 3
4.8%
58 1
 
1.6%
60 5
7.9%
61 1
 
1.6%
67 1
 
1.6%
70 2
 
3.2%
72 1
 
1.6%
75 1
 
1.6%
ValueCountFrequency (%)
300 1
 
1.6%
280 1
 
1.6%
258 1
 
1.6%
200 1
 
1.6%
170 3
4.8%
160 1
 
1.6%
150 2
3.2%
135 1
 
1.6%
125 1
 
1.6%
120 2
3.2%

일일 사용가능인원
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7324.2222
Minimum1875
Maximum18888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-01-28T21:50:44.180851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1875
5-th percentile3343.4
Q14437.5
median5625
Q310090
95-th percentile17416.6
Maximum18888
Range17013
Interquartile range (IQR)5652.5

Descriptive statistics

Standard deviation4260.7558
Coefficient of variation (CV)0.58173491
Kurtosis1.0437743
Mean7324.2222
Median Absolute Deviation (MAD)1875
Skewness1.3417332
Sum461426
Variance18154040
MonotonicityNot monotonic
2024-01-28T21:50:44.286451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
11111 7
 
11.1%
5625 6
 
9.5%
6250 4
 
6.3%
3750 4
 
6.3%
3437 3
 
4.8%
5187 3
 
4.8%
5125 3
 
4.8%
4375 2
 
3.2%
7500 2
 
3.2%
10625 2
 
3.2%
Other values (24) 27
42.9%
ValueCountFrequency (%)
1875 1
 
1.6%
2812 1
 
1.6%
3333 2
3.2%
3437 3
4.8%
3625 1
 
1.6%
3750 4
6.3%
3812 1
 
1.6%
4187 1
 
1.6%
4375 2
3.2%
4500 1
 
1.6%
ValueCountFrequency (%)
18888 1
 
1.6%
18750 1
 
1.6%
17777 1
 
1.6%
17500 1
 
1.6%
16666 1
 
1.6%
16125 1
 
1.6%
12500 1
 
1.6%
11111 7
11.1%
10625 2
 
3.2%
9555 1
 
1.6%

Interactions

2024-01-28T21:50:40.548396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:50:40.422414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:50:40.613760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:50:40.482763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:50:44.375336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동시설종류용도개방유무민방위 비상급수시설 명소재지 도로명 주소비상발전기 보유 수수질검사(4분기)급수능력(일일 생산능력_톤)일일 사용가능인원
읍면동1.0000.7270.3960.6620.9831.0000.3740.2600.0000.180
시설종류0.7271.0000.3370.2311.0001.0000.6980.1740.5540.658
용도0.3960.3371.0000.0641.0001.0000.7680.0000.2970.614
개방유무0.6620.2310.0641.0001.0001.0000.4360.0000.1620.231
민방위 비상급수시설 명0.9831.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지 도로명 주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
비상발전기 보유 수0.3740.6980.7680.4361.0001.0001.0000.0000.4180.518
수질검사(4분기)0.2600.1740.0000.0001.0001.0000.0001.0000.4720.639
급수능력(일일 생산능력_톤)0.0000.5540.2970.1621.0001.0000.4180.4721.0000.986
일일 사용가능인원0.1800.6580.6140.2311.0001.0000.5180.6390.9861.000
2024-01-28T21:50:44.476197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류읍면동용도비상발전기 보유 수개방유무수질검사(4분기)
시설종류1.0000.5090.5350.9390.3730.283
읍면동0.5091.0000.3300.3110.5650.212
용도0.5350.3301.0000.5570.0370.000
비상발전기 보유 수0.9390.3110.5571.0000.2870.000
개방유무0.3730.5650.0370.2871.0000.000
수질검사(4분기)0.2830.2120.0000.0000.0001.000
2024-01-28T21:50:44.572340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급수능력(일일 생산능력_톤)일일 사용가능인원읍면동시설종류용도개방유무비상발전기 보유 수수질검사(4분기)
급수능력(일일 생산능력_톤)1.0000.9390.0000.2730.2760.1450.3910.444
일일 사용가능인원0.9391.0000.0760.3540.5770.2410.4920.607
읍면동0.0000.0761.0000.5090.3300.5650.3110.212
시설종류0.2730.3540.5091.0000.5350.3730.9390.283
용도0.2760.5770.3300.5351.0000.0370.5570.000
개방유무0.1450.2410.5650.3730.0371.0000.2870.000
비상발전기 보유 수0.3910.4920.3110.9390.5570.2871.0000.000
수질검사(4분기)0.4440.6070.2120.2830.0000.0000.0001.000

Missing values

2024-01-28T21:50:40.717967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:50:40.869183image/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

시도시군구읍면동시설종류용도개방유무민방위 비상급수시설 명소재지 도로명 주소비상발전기 보유 수수질검사(1분기)수질검사(2분기)수질검사(3분기)수질검사(4분기)급수능력(일일 생산능력_톤)일일 사용가능인원
0인천광역시남동구간석3동정부지원음용수Y신명여고인천광역시 남동구 용천로205번길 42, 간석 3동 (간석동)1적합적합적합적합10011111
1인천광역시남동구간석4동공공용생활용수N신한목욕탕인천광역시 남동구 석정로 568, 간석 4동 (간석동)0적합적합적합적합1207500
2인천광역시남동구구월1동공공용생활용수Y민경식(선수촌사우나)인천광역시 남동구 남동대로 684, 구월 1동 (구월동)0적합적합적합적합724500
3인천광역시남동구구월2동지자체음용수Y구월체육공원인천광역시 남동구 구월로 251, 구월 2동 (구월동)1적합적합적합적합10011111
4인천광역시남동구구월2동지자체생활용수Y석천초교인천광역시 남동구 남동대로 828, 구월 2동 (구월동)1적합적합적합적합1006250
5인천광역시남동구구월2동공공용생활용수Y이동원(신성교회)인천광역시 남동구 호구포로 840, 구월 2동 (구월동)0적합적합적합적합764750
6인천광역시남동구구월2동공공용생활용수Y낙원제일교회인천광역시 남동구 용천로 940적합적합적합적합28017500
7인천광역시남동구구월3동공공용생활용수Y이종남(신원목욕탕)인천광역시 남동구 문화서로17번길 8, 구월 3동 (구월동)0적합적합적합적합865375
8인천광역시남동구구월3동공공용생활용수Y인천시청인천광역시 남동구 정각로 29, 구월 1동 (구월동)0적합적합적합적합1358437
9인천광역시남동구구월3동공공용생활용수Y인천지방경찰청인천광역시 남동구 예술로152번길 9, 구월 3동 (구월동)0적합적합적합적합905625
시도시군구읍면동시설종류용도개방유무민방위 비상급수시설 명소재지 도로명 주소비상발전기 보유 수수질검사(1분기)수질검사(2분기)수질검사(3분기)수질검사(4분기)급수능력(일일 생산능력_톤)일일 사용가능인원
53인천광역시남동구장수서창동공공용음용수N김순철인천광역시 남동구 운연동 수인로 35710적합적합적합적합606666
54인천광역시남동구장수서창동공공용음용수Y9공수(정문)인천광역시 남동구 만의골로195번길 14, (장수동)0적합적합적합적합303333
55인천광역시남동구장수서창동공공용생활용수Y농축수산과인천광역시 남동구 서창동 4010적합적합적합적합835187
56인천광역시남동구장수서창동공공용생활용수Y김종현인천광역시 남동구 서창동 458-10적합적합적합적합603750
57인천광역시남동구장수서창동공공용생활용수Y농축수산과인천광역시 남동구 운연동 242-10적합적합적합적합835187
58인천광역시남동구장수서창동공공용생활용수Y농축수산과인천광역시 남동구 장수동 631-10적합적합적합적합835187
59인천광역시남동구장수서창동공공용생활용수Y장수농장인천광역시 남동구 장수동 산66-10적합적합적합적합17010625
60인천광역시남동구장수서창동공공용생활용수Y정인상인천광역시 남동구 연락골로 25, 2호 (운연동)0적합적합적합적합452812
61인천광역시남동구장수서창동공공용생활용수N배윤영(남원참추어탕)인천광역시 남동구 연락골로 32, (운연동)0적합적합적합적합603750
62인천광역시남동구장수서창동공공용생활용수N최영수인천광역시 남동구 운연동 850적합적합적합적합825125