Overview

Dataset statistics

Number of variables10
Number of observations79
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory83.6 B

Variable types

Numeric2
Categorical5
Text3

Dataset

Description인천광역시 서구 비상급수시설 현황 (시설종류, 용도, 개방유무, 시설명칭, 시설유형, 소재지(도로명), 소재지(지번), 급수능력(일일생산능력(톤) 등) 에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15068796/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설종류 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
개방유무 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 시설종류 and 2 other fieldsHigh correlation
용도 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
시설유형 is highly overall correlated with 시설종류 and 2 other fieldsHigh correlation
시설종류 is highly imbalanced (66.7%)Imbalance
연번 has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:10:00.778085
Analysis finished2024-03-14 12:10:03.216107
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size839.0 B
2024-03-14T21:10:03.375569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q120.5
median40
Q359.5
95-th percentile75.1
Maximum79
Range78
Interquartile range (IQR)39

Descriptive statistics

Standard deviation22.949219
Coefficient of variation (CV)0.57373048
Kurtosis-1.2
Mean40
Median Absolute Deviation (MAD)20
Skewness0
Sum3160
Variance526.66667
MonotonicityStrictly increasing
2024-03-14T21:10:03.687687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
2 1
 
1.3%
59 1
 
1.3%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
Other values (69) 69
87.3%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
79 1
1.3%
78 1
1.3%
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%

시설종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size760.0 B
공공용
71 
정부지원
 
7
지자체
 
1

Length

Max length4
Median length3
Mean length3.0886076
Min length3

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
공공용 71
89.9%
정부지원 7
 
8.9%
지자체 1
 
1.3%

Length

2024-03-14T21:10:03.985110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:10:04.177725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 71
89.9%
정부지원 7
 
8.9%
지자체 1
 
1.3%

용도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size760.0 B
생활용수
60 
음용수
19 

Length

Max length4
Median length4
Mean length3.7594937
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활용수 60
75.9%
음용수 19
 
24.1%

Length

2024-03-14T21:10:04.521922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:10:04.851103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용수 60
75.9%
음용수 19
 
24.1%

개방유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size760.0 B
미개방
70 
개방
9 

Length

Max length3
Median length3
Mean length2.8860759
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미개방 70
88.6%
개방 9
 
11.4%

Length

2024-03-14T21:10:05.105634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:10:05.287790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미개방 70
88.6%
개방 9
 
11.4%

시설명칭
Text

Distinct72
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size760.0 B
2024-03-14T21:10:06.035494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.8227848
Min length3

Characters and Unicode

Total characters460
Distinct characters174
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)87.3%

Sample

1st row대인고등학교
2nd row석남체육공원
3rd row가좌초등학교
4th row가좌울공원
5th row가좌체육공원
ValueCountFrequency (%)
이 6
 
7.1%
김 2
 
2.4%
㈜ 2
 
2.4%
신태진 2
 
2.4%
경제정책과(오류동 1
 
1.2%
마전주유소 1
 
1.2%
한신그랜드종합상가 1
 
1.2%
가정3동성당 1
 
1.2%
내리기도원 1
 
1.2%
검단식품 1
 
1.2%
Other values (66) 66
78.6%
2024-03-14T21:10:07.102293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 34
 
7.4%
원 12
 
2.6%
가 12
 
2.6%
신 10
 
2.2%
마 10
 
2.2%
공 10
 
2.2%
사 9
 
2.0%
) 8
 
1.7%
( 8
 
1.7%
소 8
 
1.7%
Other values (164) 339
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
82.8%
Other Punctuation 34
 
7.4%
Decimal Number 15
 
3.3%
Close Punctuation 8
 
1.7%
Open Punctuation 8
 
1.7%
Space Separator 6
 
1.3%
Dash Punctuation 4
 
0.9%
Other Symbol 2
 
0.4%
Lowercase Letter 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 12
 
3.1%
가 12
 
3.1%
신 10
 
2.6%
마 10
 
2.6%
공 10
 
2.6%
사 9
 
2.4%
소 8
 
2.1%
이 7
 
1.8%
교 7
 
1.8%
우 6
 
1.6%
Other values (149) 290
76.1%
Decimal Number
ValueCountFrequency (%)
9 3
20.0%
3 3
20.0%
1 3
20.0%
5 2
13.3%
2 2
13.3%
8 1
 
6.7%
4 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
83.3%
Common 75
 
16.3%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 12
 
3.1%
가 12
 
3.1%
신 10
 
2.6%
마 10
 
2.6%
공 10
 
2.6%
사 9
 
2.3%
소 8
 
2.1%
이 7
 
1.8%
교 7
 
1.8%
우 6
 
1.6%
Other values (150) 292
76.2%
Common
ValueCountFrequency (%)
* 34
45.3%
) 8
 
10.7%
( 8
 
10.7%
6
 
8.0%
- 4
 
5.3%
9 3
 
4.0%
3 3
 
4.0%
1 3
 
4.0%
5 2
 
2.7%
2 2
 
2.7%
Other values (2) 2
 
2.7%
Latin
ValueCountFrequency (%)
w 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
82.8%
ASCII 77
 
16.7%
None 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 34
44.2%
) 8
 
10.4%
( 8
 
10.4%
6
 
7.8%
- 4
 
5.2%
9 3
 
3.9%
3 3
 
3.9%
1 3
 
3.9%
5 2
 
2.6%
2 2
 
2.6%
Other values (4) 4
 
5.2%
Hangul
ValueCountFrequency (%)
원 12
 
3.1%
가 12
 
3.1%
신 10
 
2.6%
마 10
 
2.6%
공 10
 
2.6%
사 9
 
2.4%
소 8
 
2.1%
이 7
 
1.8%
교 7
 
1.8%
우 6
 
1.6%
Other values (149) 290
76.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

시설유형
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size760.0 B
상업시설
21 
기타
20 
목욕시설
10 
종교시설
7 
공원
6 
Other values (7)
15 

Length

Max length4
Median length4
Mean length3.3164557
Min length2

Unique

Unique3 ?
Unique (%)3.8%

Sample

1st row교육시설
2nd row공원
3rd row교육시설
4th row공원
5th row공원

Common Values

ValueCountFrequency (%)
상업시설 21
26.6%
기타 20
25.3%
목욕시설 10
12.7%
종교시설 7
 
8.9%
공원 6
 
7.6%
공공기관 4
 
5.1%
교육시설 3
 
3.8%
공장시설 3
 
3.8%
공동주택 2
 
2.5%
숙박시설 1
 
1.3%
Other values (2) 2
 
2.5%

Length

2024-03-14T21:10:07.418704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상업시설 21
26.6%
기타 20
25.3%
목욕시설 10
12.7%
종교시설 7
 
8.9%
공원 6
 
7.6%
공공기관 4
 
5.1%
교육시설 3
 
3.8%
공장시설 3
 
3.8%
공동주택 2
 
2.5%
숙박시설 1
 
1.3%
Other values (2) 2
 
2.5%

소재지(도로명)
Text

Distinct77
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size760.0 B
2024-03-14T21:10:08.527848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length22.025316
Min length13

Characters and Unicode

Total characters1740
Distinct characters92
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)94.9%

Sample

1st row인천 서구 서곶로 446(공촌동)
2nd row인천 서구 가정로 294번길 20(석남동)
3rd row인천 서구 장고개로 309번길5(가좌동)
4th row인천 서구 고래울로35(가좌동)
5th row인천 서구 고래룰로 12(가좌동)
ValueCountFrequency (%)
서구 79
21.4%
인천광역시 68
18.4%
인천 11
 
3.0%
가좌동 9
 
2.4%
석남동 8
 
2.2%
봉수대로 7
 
1.9%
서곶로 6
 
1.6%
신현동 6
 
1.6%
원적로 5
 
1.4%
경명대로 3
 
0.8%
Other values (138) 167
45.3%
2024-03-14T21:10:10.067070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
 
17.5%
서 95
 
5.5%
천 80
 
4.6%
인 79
 
4.5%
구 79
 
4.5%
로 72
 
4.1%
시 69
 
4.0%
광 68
 
3.9%
역 68
 
3.9%
동 59
 
3.4%
Other values (82) 766
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1018
58.5%
Space Separator 305
 
17.5%
Decimal Number 295
 
17.0%
Open Punctuation 52
 
3.0%
Close Punctuation 52
 
3.0%
Dash Punctuation 18
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 95
 
9.3%
천 80
 
7.9%
인 79
 
7.8%
구 79
 
7.8%
로 72
 
7.1%
시 69
 
6.8%
광 68
 
6.7%
역 68
 
6.7%
동 59
 
5.8%
번 36
 
3.5%
Other values (68) 313
30.7%
Decimal Number
ValueCountFrequency (%)
1 57
19.3%
3 42
14.2%
2 40
13.6%
5 34
11.5%
6 27
9.2%
7 25
8.5%
9 22
 
7.5%
0 19
 
6.4%
4 17
 
5.8%
8 12
 
4.1%
Space Separator
ValueCountFrequency (%)
305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1018
58.5%
Common 722
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 95
 
9.3%
천 80
 
7.9%
인 79
 
7.8%
구 79
 
7.8%
로 72
 
7.1%
시 69
 
6.8%
광 68
 
6.7%
역 68
 
6.7%
동 59
 
5.8%
번 36
 
3.5%
Other values (68) 313
30.7%
Common
ValueCountFrequency (%)
305
42.2%
1 57
 
7.9%
( 52
 
7.2%
) 52
 
7.2%
3 42
 
5.8%
2 40
 
5.5%
5 34
 
4.7%
6 27
 
3.7%
7 25
 
3.5%
9 22
 
3.0%
Other values (4) 66
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1018
58.5%
ASCII 722
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
42.2%
1 57
 
7.9%
( 52
 
7.2%
) 52
 
7.2%
3 42
 
5.8%
2 40
 
5.5%
5 34
 
4.7%
6 27
 
3.7%
7 25
 
3.5%
9 22
 
3.0%
Other values (4) 66
 
9.1%
Hangul
ValueCountFrequency (%)
서 95
 
9.3%
천 80
 
7.9%
인 79
 
7.8%
구 79
 
7.8%
로 72
 
7.1%
시 69
 
6.8%
광 68
 
6.7%
역 68
 
6.7%
동 59
 
5.8%
번 36
 
3.5%
Other values (68) 313
30.7%

소재지(지번)
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size760.0 B
2024-03-14T21:10:11.187559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.1392405
Min length6

Characters and Unicode

Total characters722
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)100.0%

Sample

1st row공촌동47-3
2nd row석남1동 483번지
3rd row가좌2동 30-87
4th row가좌4동 354
5th row가좌4동 339번지
ValueCountFrequency (%)
석남동 9
 
5.6%
가좌동 8
 
5.0%
가정동 6
 
3.8%
신현동 6
 
3.8%
석남1동 5
 
3.1%
가좌3동 5
 
3.1%
공촌동 5
 
3.1%
대곡동 3
 
1.9%
당하동 3
 
1.9%
연희동 3
 
1.9%
Other values (97) 107
66.9%
2024-03-14T21:10:12.805694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
11.2%
동 80
 
11.1%
- 58
 
8.0%
1 57
 
7.9%
2 46
 
6.4%
3 44
 
6.1%
5 38
 
5.3%
4 26
 
3.6%
7 24
 
3.3%
가 24
 
3.3%
Other values (46) 244
33.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 309
42.8%
Other Letter 270
37.4%
Space Separator 81
 
11.2%
Dash Punctuation 58
 
8.0%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 80
29.6%
가 24
 
8.9%
좌 18
 
6.7%
석 15
 
5.6%
남 14
 
5.2%
산 10
 
3.7%
지 9
 
3.3%
곡 9
 
3.3%
번 8
 
3.0%
신 6
 
2.2%
Other values (32) 77
28.5%
Decimal Number
ValueCountFrequency (%)
1 57
18.4%
2 46
14.9%
3 44
14.2%
5 38
12.3%
4 26
8.4%
7 24
7.8%
6 21
 
6.8%
8 20
 
6.5%
9 17
 
5.5%
0 16
 
5.2%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 452
62.6%
Hangul 270
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 80
29.6%
가 24
 
8.9%
좌 18
 
6.7%
석 15
 
5.6%
남 14
 
5.2%
산 10
 
3.7%
지 9
 
3.3%
곡 9
 
3.3%
번 8
 
3.0%
신 6
 
2.2%
Other values (32) 77
28.5%
Common
ValueCountFrequency (%)
81
17.9%
- 58
12.8%
1 57
12.6%
2 46
10.2%
3 44
9.7%
5 38
8.4%
4 26
 
5.8%
7 24
 
5.3%
6 21
 
4.6%
8 20
 
4.4%
Other values (4) 37
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 452
62.6%
Hangul 270
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
17.9%
- 58
12.8%
1 57
12.6%
2 46
10.2%
3 44
9.7%
5 38
8.4%
4 26
 
5.8%
7 24
 
5.3%
6 21
 
4.6%
8 20
 
4.4%
Other values (4) 37
8.2%
Hangul
ValueCountFrequency (%)
동 80
29.6%
가 24
 
8.9%
좌 18
 
6.7%
석 15
 
5.6%
남 14
 
5.2%
산 10
 
3.7%
지 9
 
3.3%
곡 9
 
3.3%
번 8
 
3.0%
신 6
 
2.2%
Other values (32) 77
28.5%

급수능력(일일생산능력(톤))
Real number (ℝ)

Distinct31
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.78481
Minimum20
Maximum630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size839.0 B
2024-03-14T21:10:13.192741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q154.5
median72
Q393
95-th percentile207
Maximum630
Range610
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation82.427228
Coefficient of variation (CV)0.91805316
Kurtosis24.571903
Mean89.78481
Median Absolute Deviation (MAD)20
Skewness4.3612536
Sum7093
Variance6794.248
MonotonicityNot monotonic
2024-03-14T21:10:13.578392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
80 9
 
11.4%
100 7
 
8.9%
60 7
 
8.9%
50 6
 
7.6%
150 5
 
6.3%
20 5
 
6.3%
86 5
 
6.3%
70 4
 
5.1%
72 4
 
5.1%
65 3
 
3.8%
Other values (21) 24
30.4%
ValueCountFrequency (%)
20 5
6.3%
25 1
 
1.3%
30 3
3.8%
35 1
 
1.3%
40 1
 
1.3%
45 1
 
1.3%
50 6
7.6%
51 1
 
1.3%
52 1
 
1.3%
57 1
 
1.3%
ValueCountFrequency (%)
630 1
 
1.3%
350 1
 
1.3%
271 1
 
1.3%
270 1
 
1.3%
200 1
 
1.3%
150 5
6.3%
115 1
 
1.3%
100 7
8.9%
98 1
 
1.3%
96 1
 
1.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size760.0 B
2023-12-26
79 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-26
2nd row2023-12-26
3rd row2023-12-26
4th row2023-12-26
5th row2023-12-26

Common Values

ValueCountFrequency (%)
2023-12-26 79
100.0%

Length

2024-03-14T21:10:13.969099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:10:14.272162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-26 79
100.0%

Interactions

2024-03-14T21:10:02.329019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:10:01.799127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:10:02.594058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:10:02.068118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:10:14.471566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설종류용도개방유무시설명칭시설유형소재지(도로명)소재지(지번)급수능력(일일생산능력(톤))
연번1.0000.7790.7530.9950.8320.6841.0001.0000.415
시설종류0.7791.0000.3660.6791.0000.8781.0001.0000.595
용도0.7530.3661.0000.7931.0000.9251.0001.0000.421
개방유무0.9950.6790.7931.0001.0000.9971.0001.0000.582
시설명칭0.8321.0001.0001.0001.0001.0000.9981.0000.000
시설유형0.6840.8780.9250.9971.0001.0001.0001.0000.613
소재지(도로명)1.0001.0001.0001.0000.9981.0001.0001.0000.000
소재지(지번)1.0001.0001.0001.0001.0001.0001.0001.0001.000
급수능력(일일생산능력(톤))0.4150.5950.4210.5820.0000.6130.0001.0001.000
2024-03-14T21:10:14.784426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도시설종류개방유무시설유형
용도1.0000.5780.5830.724
시설종류0.5781.0000.9280.582
개방유무0.5830.9281.0000.886
시설유형0.7240.5820.8861.000
2024-03-14T21:10:15.037061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급수능력(일일생산능력(톤))시설종류용도개방유무시설유형
연번1.000-0.4040.6280.5600.8860.363
급수능력(일일생산능력(톤))-0.4041.0000.2930.2940.4100.271
시설종류0.6280.2931.0000.5780.9280.582
용도0.5600.2940.5781.0000.5830.724
개방유무0.8860.4100.9280.5831.0000.886
시설유형0.3630.2710.5820.7240.8861.000

Missing values

2024-03-14T21:10:02.854709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:10:03.112080image/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

연번시설종류용도개방유무시설명칭시설유형소재지(도로명)소재지(지번)급수능력(일일생산능력(톤))데이터기준일자
01정부지원음용수개방대인고등학교교육시설인천 서구 서곶로 446(공촌동)공촌동47-31502023-12-26
12지자체음용수개방석남체육공원공원인천 서구 가정로 294번길 20(석남동)석남1동 483번지512023-12-26
23정부지원음용수개방가좌초등학교교육시설인천 서구 장고개로 309번길5(가좌동)가좌2동 30-871502023-12-26
34정부지원음용수개방가좌울공원공원인천 서구 고래울로35(가좌동)가좌4동 3541502023-12-26
45정부지원음용수개방가좌체육공원공원인천 서구 고래룰로 12(가좌동)가좌4동 339번지2702023-12-26
56정부지원음용수개방갈마공원공원인천 서구 승학로272번길 13(심곡동)심곡동 238-51002023-12-26
67정부지원음용수개방신촌공원공원인천 서구 건지로153번길 25-13석남1동 521-1번지1002023-12-26
78정부지원음용수개방가좌근린공원공원인천 서구 장고개로 287번길25(가좌동)가좌2동 220 외3필지1002023-12-26
89공공용생활용수미개방㈜ 신태진상업시설인천광역시 서구 도요지로 37 (경서동)경서동 438-226302023-12-26
910공공용생활용수미개방㈜ 신태진상업시설인천광역시 서구 도요지로 37 (경서동)경서동 438-212712023-12-26
연번시설종류용도개방유무시설명칭시설유형소재지(도로명)소재지(지번)급수능력(일일생산능력(톤))데이터기준일자
6970공공용생활용수미개방두밀촌낚시터상업시설인천광역시 서구 두밀로 91대곡동 260-1572023-12-26
7071공공용생활용수미개방배**기타인천광역시 서구 도곡로 298대곡동 26652023-12-26
7172공공용생활용수미개방용오자동차공업사상업시설인천광역시 서구 길주로 87석남동 511-3602023-12-26
7273공공용생활용수미개방신우테크상업시설인천 서구 길주로136번길 31석남동 555-35502023-12-26
7374공공용생활용수미개방경제정책과(공촌동89-2)기타인천광역시 서구 경명대로 725-77(공촌동)공촌동 89-2802023-12-26
7475공공용생활용수미개방청라스파렉스목욕시설인천광역시 서구 청라커낼로260번길 15청라동 158-23502023-12-26
7576공공용생활용수미개방경제정책과(검암동9-1)기타인천광역시 서구 검암동 9-1검암동 9-1802023-12-26
7677공공용생활용수미개방선인장이야기상업시설인천 서구 서곶로 156가정동 5-5502023-12-26
7778공공용생활용수미개방신도조경상업시설인천 서구 서곶로 150가정동 5-148602023-12-26
7879공공용생활용수미개방경제정책과(오류동 395-35)기타인천광역시 서구 원당대로117번길 70-9오류동 395-35802023-12-26