Overview

Dataset statistics

Number of variables10
Number of observations64
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory84.1 B

Variable types

Numeric2
Categorical4
Text3
DateTime1

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://data.incheon.go.kr/findData/publicDataDetail?dataId=15068796&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
시설종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
개방유무 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 급수능력(일일생산능력(톤)) and 3 other fieldsHigh correlation
급수능력(일일생산능력(톤)) is highly overall correlated with 연번High correlation
용도 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시설유형 is highly overall correlated with 시설종류 and 2 other fieldsHigh correlation
시설종류 is highly imbalanced (61.4%)Imbalance
소재지(도로명) has 2 (3.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:34:01.180413
Analysis finished2024-03-18 03:34:02.366506
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-03-18T12:34:02.528270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2024-03-18T12:34:02.726016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

시설종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
공공용
56 
정부지원
7 
지자체
 
1

Length

Max length4
Median length3
Mean length3.109375
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
공공용 56
87.5%
정부지원 7
 
10.9%
지자체 1
 
1.6%

Length

2024-03-18T12:34:02.868046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:34:02.952303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 56
87.5%
정부지원 7
 
10.9%
지자체 1
 
1.6%

용도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
생활용수
47 
음용수
17 

Length

Max length4
Median length4
Mean length3.734375
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활용수 47
73.4%
음용수 17
 
26.6%

Length

2024-03-18T12:34:03.037521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:34:03.128521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용수 47
73.4%
음용수 17
 
26.6%

개방유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
미개방
55 
개방
9 

Length

Max length3
Median length3
Mean length2.859375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미개방 55
85.9%
개방 9
 
14.1%

Length

2024-03-18T12:34:03.220763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:34:03.304337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미개방 55
85.9%
개방 9
 
14.1%

시설명칭
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-18T12:34:03.519402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length5.703125
Min length3

Characters and Unicode

Total characters365
Distinct characters157
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

Unique62 ?
Unique (%)96.9%

Sample

1st row대인고등학교
2nd row석남체육공원
3rd row가좌초등학교
4th row가좌울공원
5th row가좌체육공원
ValueCountFrequency (%)
주)신태진 2
 
3.0%
서상구 1
 
1.5%
유종오 1
 
1.5%
천마사 1
 
1.5%
엘림기도원 1
 
1.5%
청수사우나 1
 
1.5%
광성해수피아a 1
 
1.5%
벧엘교회 1
 
1.5%
프라자목욕탕 1
 
1.5%
로얄사우나 1
 
1.5%
Other values (56) 56
83.6%
2024-03-18T12:34:03.831295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 10
 
2.7%
) 10
 
2.7%
원 10
 
2.7%
가 9
 
2.5%
마 9
 
2.5%
사 9
 
2.5%
공 8
 
2.2%
소 8
 
2.2%
이 7
 
1.9%
우 7
 
1.9%
Other values (147) 278
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
91.8%
Open Punctuation 10
 
2.7%
Close Punctuation 10
 
2.7%
Decimal Number 4
 
1.1%
Space Separator 3
 
0.8%
Lowercase Letter 1
 
0.3%
Dash Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 10
 
3.0%
가 9
 
2.7%
마 9
 
2.7%
사 9
 
2.7%
공 8
 
2.4%
소 8
 
2.4%
이 7
 
2.1%
우 7
 
2.1%
교 6
 
1.8%
나 6
 
1.8%
Other values (138) 256
76.4%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
4 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
91.8%
Common 28
 
7.7%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 10
 
3.0%
가 9
 
2.7%
마 9
 
2.7%
사 9
 
2.7%
공 8
 
2.4%
소 8
 
2.4%
이 7
 
2.1%
우 7
 
2.1%
교 6
 
1.8%
나 6
 
1.8%
Other values (138) 256
76.4%
Common
ValueCountFrequency (%)
( 10
35.7%
) 10
35.7%
3
 
10.7%
1 2
 
7.1%
- 1
 
3.6%
2 1
 
3.6%
4 1
 
3.6%
Latin
ValueCountFrequency (%)
w 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
91.8%
ASCII 30
 
8.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 10
33.3%
) 10
33.3%
3
 
10.0%
1 2
 
6.7%
w 1
 
3.3%
- 1
 
3.3%
A 1
 
3.3%
2 1
 
3.3%
4 1
 
3.3%
Hangul
ValueCountFrequency (%)
원 10
 
3.0%
가 9
 
2.7%
마 9
 
2.7%
사 9
 
2.7%
공 8
 
2.4%
소 8
 
2.4%
이 7
 
2.1%
우 7
 
2.1%
교 6
 
1.8%
나 6
 
1.8%
Other values (138) 256
76.4%

시설유형
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
기타
24 
목욕시설
9 
상업시설
8 
종교시설
7 
공원
6 
Other values (5)
10 

Length

Max length4
Median length4
Mean length3.046875
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 24
37.5%
목욕시설 9
 
14.1%
상업시설 8
 
12.5%
종교시설 7
 
10.9%
공원 6
 
9.4%
교육시설 3
 
4.7%
공공기관 3
 
4.7%
공동주택 2
 
3.1%
숙박시설 1
 
1.6%
약수터 1
 
1.6%

Length

2024-03-18T12:34:03.968728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:34:04.072890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 24
37.5%
목욕시설 9
 
14.1%
상업시설 8
 
12.5%
종교시설 7
 
10.9%
공원 6
 
9.4%
교육시설 3
 
4.7%
공공기관 3
 
4.7%
공동주택 2
 
3.1%
숙박시설 1
 
1.6%
약수터 1
 
1.6%

소재지(도로명)
Text

MISSING 

Distinct60
Distinct (%)96.8%
Missing2
Missing (%)3.1%
Memory size644.0 B
2024-03-18T12:34:04.332036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length24.258065
Min length17

Characters and Unicode

Total characters1504
Distinct characters79
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

Unique58 ?
Unique (%)93.5%

Sample

1st row인천광역시 서구 서곶로 446 (공촌동)
2nd row인천광역시 서구 가정로 294번길 20 (석남동)
3rd row인천광역시 서구 장고개로 309번길 5 (가좌동)
4th row인천광역시 서구 고래울로 35 (가좌동)
5th row인천광역시 서구 고래울로 12 (가좌동)
ValueCountFrequency (%)
인천광역시 62
19.9%
서구 62
19.9%
가좌동 18
 
5.8%
석남동 11
 
3.5%
원적로 8
 
2.6%
봉수대로 6
 
1.9%
신현동 6
 
1.9%
심곡동 4
 
1.3%
가정로 4
 
1.3%
25 3
 
1.0%
Other values (105) 128
41.0%
2024-03-18T12:34:04.859875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
16.6%
서 73
 
4.9%
로 64
 
4.3%
천 62
 
4.1%
구 62
 
4.1%
인 62
 
4.1%
시 62
 
4.1%
역 62
 
4.1%
광 62
 
4.1%
) 60
 
4.0%
Other values (69) 685
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
58.3%
Space Separator 250
 
16.6%
Decimal Number 239
 
15.9%
Close Punctuation 60
 
4.0%
Open Punctuation 60
 
4.0%
Dash Punctuation 17
 
1.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 73
 
8.3%
로 64
 
7.3%
천 62
 
7.1%
구 62
 
7.1%
인 62
 
7.1%
시 62
 
7.1%
역 62
 
7.1%
광 62
 
7.1%
동 60
 
6.8%
길 28
 
3.2%
Other values (54) 280
31.9%
Decimal Number
ValueCountFrequency (%)
1 47
19.7%
3 35
14.6%
2 33
13.8%
7 24
10.0%
5 24
10.0%
0 20
8.4%
6 19
7.9%
9 15
 
6.3%
4 13
 
5.4%
8 9
 
3.8%
Space Separator
ValueCountFrequency (%)
250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 877
58.3%
Common 627
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 73
 
8.3%
로 64
 
7.3%
천 62
 
7.1%
구 62
 
7.1%
인 62
 
7.1%
시 62
 
7.1%
역 62
 
7.1%
광 62
 
7.1%
동 60
 
6.8%
길 28
 
3.2%
Other values (54) 280
31.9%
Common
ValueCountFrequency (%)
250
39.9%
) 60
 
9.6%
( 60
 
9.6%
1 47
 
7.5%
3 35
 
5.6%
2 33
 
5.3%
7 24
 
3.8%
5 24
 
3.8%
0 20
 
3.2%
6 19
 
3.0%
Other values (5) 55
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 877
58.3%
ASCII 627
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
39.9%
) 60
 
9.6%
( 60
 
9.6%
1 47
 
7.5%
3 35
 
5.6%
2 33
 
5.3%
7 24
 
3.8%
5 24
 
3.8%
0 20
 
3.2%
6 19
 
3.0%
Other values (5) 55
 
8.8%
Hangul
ValueCountFrequency (%)
서 73
 
8.3%
로 64
 
7.3%
천 62
 
7.1%
구 62
 
7.1%
인 62
 
7.1%
시 62
 
7.1%
역 62
 
7.1%
광 62
 
7.1%
동 60
 
6.8%
길 28
 
3.2%
Other values (54) 280
31.9%

소재지(지번)
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-18T12:34:05.120655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.8125
Min length15

Characters and Unicode

Total characters1140
Distinct characters48
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

Unique62 ?
Unique (%)96.9%

Sample

1st row인천광역시 서구 공촌동 47-3
2nd row인천광역시 서구 석남1동 483
3rd row인천광역시 서구 가좌2동 30-87
4th row인천광역시 서구 가좌4동 354
5th row인천광역시 서구 가좌4동 339
ValueCountFrequency (%)
인천광역시 64
25.0%
서구 64
25.0%
가좌동 15
 
5.9%
석남동 11
 
4.3%
신현동 6
 
2.3%
공촌동 5
 
2.0%
당하동 3
 
1.2%
금곡동 3
 
1.2%
연희동 3
 
1.2%
심곡동 3
 
1.2%
Other values (73) 79
30.9%
2024-03-18T12:34:05.460531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
16.8%
서 66
 
5.8%
인 64
 
5.6%
광 64
 
5.6%
역 64
 
5.6%
시 64
 
5.6%
구 64
 
5.6%
동 64
 
5.6%
천 64
 
5.6%
1 48
 
4.2%
Other values (38) 386
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
57.0%
Decimal Number 244
 
21.4%
Space Separator 192
 
16.8%
Dash Punctuation 48
 
4.2%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 66
10.2%
인 64
9.8%
광 64
9.8%
역 64
9.8%
시 64
9.8%
구 64
9.8%
동 64
9.8%
천 64
9.8%
가 20
 
3.1%
좌 18
 
2.8%
Other values (24) 98
15.1%
Decimal Number
ValueCountFrequency (%)
1 48
19.7%
2 35
14.3%
3 30
12.3%
7 25
10.2%
5 24
9.8%
4 20
8.2%
9 17
 
7.0%
6 15
 
6.1%
0 15
 
6.1%
8 15
 
6.1%
Space Separator
ValueCountFrequency (%)
192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
57.0%
Common 490
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 66
10.2%
인 64
9.8%
광 64
9.8%
역 64
9.8%
시 64
9.8%
구 64
9.8%
동 64
9.8%
천 64
9.8%
가 20
 
3.1%
좌 18
 
2.8%
Other values (24) 98
15.1%
Common
ValueCountFrequency (%)
192
39.2%
1 48
 
9.8%
- 48
 
9.8%
2 35
 
7.1%
3 30
 
6.1%
7 25
 
5.1%
5 24
 
4.9%
4 20
 
4.1%
9 17
 
3.5%
6 15
 
3.1%
Other values (4) 36
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
57.0%
ASCII 490
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
39.2%
1 48
 
9.8%
- 48
 
9.8%
2 35
 
7.1%
3 30
 
6.1%
7 25
 
5.1%
5 24
 
4.9%
4 20
 
4.1%
9 17
 
3.5%
6 15
 
3.1%
Other values (4) 36
 
7.3%
Hangul
ValueCountFrequency (%)
서 66
10.2%
인 64
9.8%
광 64
9.8%
역 64
9.8%
시 64
9.8%
구 64
9.8%
동 64
9.8%
천 64
9.8%
가 20
 
3.1%
좌 18
 
2.8%
Other values (24) 98
15.1%

급수능력(일일생산능력(톤))
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.9375
Minimum20
Maximum630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-03-18T12:34:05.618654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q143.75
median77.5
Q3100
95-th percentile192.5
Maximum630
Range610
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation86.402505
Coefficient of variation (CV)0.98254448
Kurtosis24.753538
Mean87.9375
Median Absolute Deviation (MAD)24
Skewness4.3089258
Sum5628
Variance7465.3929
MonotonicityNot monotonic
2024-03-18T12:34:05.728133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20 7
 
10.9%
100 7
 
10.9%
150 5
 
7.8%
86 5
 
7.8%
25 4
 
6.2%
72 4
 
6.2%
80 4
 
6.2%
50 3
 
4.7%
30 3
 
4.7%
70 2
 
3.1%
Other values (18) 20
31.2%
ValueCountFrequency (%)
20 7
10.9%
25 4
6.2%
30 3
4.7%
35 1
 
1.6%
40 1
 
1.6%
45 1
 
1.6%
50 3
4.7%
51 1
 
1.6%
52 1
 
1.6%
60 1
 
1.6%
ValueCountFrequency (%)
630 1
 
1.6%
271 1
 
1.6%
270 1
 
1.6%
200 1
 
1.6%
150 5
7.8%
115 1
 
1.6%
100 7
10.9%
98 1
 
1.6%
96 1
 
1.6%
90 2
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2022-08-01 00:00:00
Maximum2022-08-01 00:00:00
2024-03-18T12:34:05.827443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:34:05.919627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T12:34:01.768854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:34:01.613648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:34:01.846735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:34:01.683323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:34:05.986707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설종류용도개방유무시설명칭시설유형소재지(도로명)소재지(지번)급수능력(일일생산능력(톤))
연번1.0000.7290.7330.9761.0000.7891.0001.0000.538
시설종류0.7291.0000.3100.6761.0000.7491.0001.0000.358
용도0.7330.3101.0000.7171.0000.8571.0001.0000.209
개방유무0.9760.6760.7171.0001.0000.9971.0001.0000.322
시설명칭1.0001.0001.0001.0001.0001.0001.0001.0000.000
시설유형0.7890.7490.8570.9971.0001.0001.0001.0000.746
소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.0000.000
소재지(지번)1.0001.0001.0001.0001.0001.0001.0001.0000.000
급수능력(일일생산능력(톤))0.5380.3580.2090.3220.0000.7460.0000.0001.000
2024-03-18T12:34:06.089873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류용도시설유형개방유무
시설종류1.0000.4960.5810.925
용도0.4961.0000.6430.509
시설유형0.5810.6431.0000.885
개방유무0.9250.5090.8851.000
2024-03-18T12:34:06.166142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급수능력(일일생산능력(톤))시설종류용도개방유무시설유형
연번1.000-0.5030.5570.5350.8070.351
급수능력(일일생산능력(톤))-0.5031.0000.2840.2480.3820.383
시설종류0.5570.2841.0000.4960.9250.581
용도0.5350.2480.4961.0000.5090.643
개방유무0.8070.3820.9250.5091.0000.885
시설유형0.3510.3830.5810.6430.8851.000

Missing values

2024-03-18T12:34:02.144845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:34:02.269118image/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
01정부지원음용수개방대인고등학교교육시설인천광역시 서구 서곶로 446 (공촌동)인천광역시 서구 공촌동 47-31502022-08-01
12지자체음용수개방석남체육공원공원인천광역시 서구 가정로 294번길 20 (석남동)인천광역시 서구 석남1동 483512022-08-01
23정부지원음용수개방가좌초등학교교육시설인천광역시 서구 장고개로 309번길 5 (가좌동)인천광역시 서구 가좌2동 30-871502022-08-01
34정부지원음용수개방가좌울공원공원인천광역시 서구 고래울로 35 (가좌동)인천광역시 서구 가좌4동 3541502022-08-01
45정부지원음용수개방가좌체육공원공원인천광역시 서구 고래울로 12 (가좌동)인천광역시 서구 가좌4동 3392702022-08-01
56정부지원음용수개방갈마공원공원인천광역시 서구 승학로272번길 7 (심곡동)인천광역시 서구 심곡동 238-51002022-08-01
67정부지원음용수개방신촌공원공원인천광역시 서구 건지로153번길 25-13인천광역시 서구 석남동 521-11002022-08-01
78정부지원생활용수개방가좌근린공원공원인천광역시 서구 장고개로 287번길 25 (가좌동)인천광역시 서구 가좌동 2191002022-08-01
89공공용생활용수미개방(주)신태진상업시설인천광역시 서구 도요지로 37 (경서동)인천광역시 서구 경서동 720-16302022-08-01
910공공용생활용수미개방(주)신태진상업시설인천광역시 서구 도요지로 37 (경서동)인천광역시 서구 경서동 720-12712022-08-01
연번시설종류용도개방유무시설명칭시설유형소재지(도로명)소재지(지번)급수능력(일일생산능력(톤))데이터기준일자
5455공공용생활용수미개방수정교회종교시설인천광역시 서구 불로로 64 (불로동)인천광역시 서구 불로동 416-41502022-08-01
5556공공용생활용수미개방문희명기타인천광역시 서구 대곡로 114-5 (대곡동)인천광역시 서구 대곡동 533-1502022-08-01
5657공공용음용수미개방서구영어마을교육시설인천광역시 서구 원당대로 941 (원당동)인천광역시 서구 원당동 5551502022-08-01
5758공공용음용수미개방조영철(자미궁)기타인천광역시 서구 원당대로819번길 38 (원당동)인천광역시 서구 원당동 817-1652022-08-01
5859공공용생활용수미개방인천영어마을(이우영)기타인천광역시 서구 원당대로 976 (원당동)인천광역시 서구 당하동 350-6652022-08-01
5960공공용생활용수미개방마전주유소기타인천광역시 서구 원당대로 672인천광역시 서구 당하동 1092-9882022-08-01
6061공공용생활용수미개방검단농협주유소기타인천광역시 서구 서곶로 793 (당하동)인천광역시 서구 당하동 1086-3452022-08-01
6162공공용음용수미개방검단식품상업시설인천광역시 서구 드림로209번길 43 (왕길동)인천광역시 서구 왕길동 3-1702022-08-01
6263공공용생활용수미개방내리기도원종교시설인천광역시 서구 봉수대로1394번길 27-7 (왕길동)인천광역시 서구 왕길동 171-1862022-08-01
6364공공용생활용수미개방이기철(시골보리밥)기타인천광역시 서구 봉화로101번길 7 (오류동)인천광역시 서구 오류동 90302022-08-01