Overview

Dataset statistics

Number of variables20
Number of observations22
Missing cells6
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory177.0 B

Variable types

Categorical11
Text5
Boolean1
Numeric2
DateTime1

Dataset

Description인천광역시 서구 내 공중화장실 및 개방화장실의 현황에 대한 데이터로 구분, 화장실명, 소재지도로명주소, 소재지지번주소, 남녀공용화장실여부, 남성용-대변기수 ,남성용-소변기수, 남성용-장애인용대변기수, 남성용-장애인용소변기수남성용-어린이용대변기수, 남성용-어린이용소변기수 , 여성용-대변기수, 여성용-장애인용대변기수, 여성용-어린이용대변기수, 관리기관명, 전화번호, 개방시간, 위도, 경도 등을 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090817/fileData.do

Alerts

남녀공용화장실여부 has constant value ""Constant
남성용-어린이용대변기수 has constant value ""Constant
남성용-어린이용소변기수 has constant value ""Constant
여성용-어린이용대변기수 has constant value ""Constant
개방시간 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 구분High correlation
경도 is highly overall correlated with 남성용-대변기수High correlation
구분 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
남성용-대변기수 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
남성용-소변기수 is highly overall correlated with 구분High correlation
남성용-장애인용대변기수 is highly overall correlated with 남성용-대변기수 and 1 other fieldsHigh correlation
여성용-대변기수 is highly overall correlated with 구분High correlation
여성용-장애인용대변기수 is highly overall correlated with 남성용-대변기수 and 1 other fieldsHigh correlation
소재지도로명주소 has 5 (22.7%) missing valuesMissing
전화번호 has 1 (4.5%) missing valuesMissing
화장실명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-14 13:46:44.407990
Analysis finished2024-01-14 13:46:46.666678
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
개방화장실
18 
공중화장실
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공중화장실
2nd row공중화장실
3rd row공중화장실
4th row공중화장실
5th row개방화장실

Common Values

ValueCountFrequency (%)
개방화장실 18
81.8%
공중화장실 4
 
18.2%

Length

2024-01-14T22:46:46.766634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:46.926916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방화장실 18
81.8%
공중화장실 4
 
18.2%

화장실명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-14T22:46:47.169962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.6818182
Min length4

Characters and Unicode

Total characters147
Distinct characters73
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

Unique22 ?
Unique (%)100.0%

Sample

1st row신거북시장
2nd row가좌시장
3rd row정서진중앙시장
4th row강남시장고객지원센터
5th row한종프라자
ValueCountFrequency (%)
공촌천 3
 
10.3%
공중화장실2 2
 
6.9%
공중화장실1 2
 
6.9%
심곡천 2
 
6.9%
신거북시장 1
 
3.4%
가좌시장 1
 
3.4%
태평주유소 1
 
3.4%
에이스타워 1
 
3.4%
인하메디컬센타 1
 
3.4%
서주빌딩 1
 
3.4%
Other values (14) 14
48.3%
2024-01-14T22:46:47.652258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 9
 
6.1%
공 9
 
6.1%
7
 
4.8%
중 6
 
4.1%
프 5
 
3.4%
자 5
 
3.4%
실 5
 
3.4%
라 5
 
3.4%
화 5
 
3.4%
천 5
 
3.4%
Other values (63) 86
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
91.8%
Space Separator 7
 
4.8%
Decimal Number 5
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 9
 
6.7%
공 9
 
6.7%
중 6
 
4.4%
프 5
 
3.7%
자 5
 
3.7%
실 5
 
3.7%
라 5
 
3.7%
화 5
 
3.7%
천 5
 
3.7%
시 4
 
3.0%
Other values (59) 77
57.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
91.8%
Common 12
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 9
 
6.7%
공 9
 
6.7%
중 6
 
4.4%
프 5
 
3.7%
자 5
 
3.7%
실 5
 
3.7%
라 5
 
3.7%
화 5
 
3.7%
천 5
 
3.7%
시 4
 
3.0%
Other values (59) 77
57.0%
Common
ValueCountFrequency (%)
7
58.3%
2 2
 
16.7%
1 2
 
16.7%
3 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
91.8%
ASCII 12
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 9
 
6.7%
공 9
 
6.7%
중 6
 
4.4%
프 5
 
3.7%
자 5
 
3.7%
실 5
 
3.7%
라 5
 
3.7%
화 5
 
3.7%
천 5
 
3.7%
시 4
 
3.0%
Other values (59) 77
57.0%
ASCII
ValueCountFrequency (%)
7
58.3%
2 2
 
16.7%
1 2
 
16.7%
3 1
 
8.3%

소재지도로명주소
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing5
Missing (%)22.7%
Memory size308.0 B
2024-01-14T22:46:47.909699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length18.823529
Min length15

Characters and Unicode

Total characters320
Distinct characters60
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

Unique17 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 면개포로 5
2nd row인천광역시 서구 장고개로337번길 18-19
3rd row인천광역시 서구 가정로 369
4th row인천광역시 서구 가정로307번길 11-2
5th row인천광역시 서구 원당대로 663
ValueCountFrequency (%)
인천광역시 17
23.6%
서구 17
23.6%
원당대로 3
 
4.2%
서곶로 2
 
2.8%
완정로 2
 
2.8%
승학로 2
 
2.8%
태평주유소 1
 
1.4%
259 1
 
1.4%
심곡동 1
 
1.4%
가정동 1
 
1.4%
Other values (25) 25
34.7%
2024-01-14T22:46:48.441469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
17.2%
서 20
 
6.2%
인 17
 
5.3%
천 17
 
5.3%
구 17
 
5.3%
로 17
 
5.3%
시 17
 
5.3%
역 17
 
5.3%
광 17
 
5.3%
1 10
 
3.1%
Other values (50) 116
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
62.2%
Decimal Number 58
 
18.1%
Space Separator 55
 
17.2%
Dash Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 20
 
10.1%
인 17
 
8.5%
천 17
 
8.5%
구 17
 
8.5%
로 17
 
8.5%
시 17
 
8.5%
역 17
 
8.5%
광 17
 
8.5%
정 5
 
2.5%
대 3
 
1.5%
Other values (35) 52
26.1%
Decimal Number
ValueCountFrequency (%)
1 10
17.2%
3 8
13.8%
6 8
13.8%
5 6
10.3%
9 6
10.3%
2 5
8.6%
8 4
 
6.9%
0 4
 
6.9%
7 4
 
6.9%
4 3
 
5.2%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
62.2%
Common 121
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 20
 
10.1%
인 17
 
8.5%
천 17
 
8.5%
구 17
 
8.5%
로 17
 
8.5%
시 17
 
8.5%
역 17
 
8.5%
광 17
 
8.5%
정 5
 
2.5%
대 3
 
1.5%
Other values (35) 52
26.1%
Common
ValueCountFrequency (%)
55
45.5%
1 10
 
8.3%
3 8
 
6.6%
6 8
 
6.6%
5 6
 
5.0%
9 6
 
5.0%
2 5
 
4.1%
8 4
 
3.3%
0 4
 
3.3%
7 4
 
3.3%
Other values (5) 11
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199
62.2%
ASCII 121
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
45.5%
1 10
 
8.3%
3 8
 
6.6%
6 8
 
6.6%
5 6
 
5.0%
9 6
 
5.0%
2 5
 
4.1%
8 4
 
3.3%
0 4
 
3.3%
7 4
 
3.3%
Other values (5) 11
 
9.1%
Hangul
ValueCountFrequency (%)
서 20
 
10.1%
인 17
 
8.5%
천 17
 
8.5%
구 17
 
8.5%
로 17
 
8.5%
시 17
 
8.5%
역 17
 
8.5%
광 17
 
8.5%
정 5
 
2.5%
대 3
 
1.5%
Other values (35) 52
26.1%

소재지지번주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-14T22:46:48.725627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length18.545455
Min length16

Characters and Unicode

Total characters408
Distinct characters50
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

Unique22 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 석남동 540-27
2nd row인천광역시 서구 가좌동 30-56
3rd row인천광역시 서구 신현동 272
4th row인천광역시 서구 석남동 452-39
5th row인천광역시 서구 마전동 1057-1
ValueCountFrequency (%)
인천광역시 22
24.4%
서구 22
24.4%
청라동 5
 
5.6%
당하동 3
 
3.3%
마전동 3
 
3.3%
석남동 2
 
2.2%
가좌동 2
 
2.2%
검암동 2
 
2.2%
106-5 1
 
1.1%
가정동 1
 
1.1%
Other values (27) 27
30.0%
2024-01-14T22:46:49.227069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
16.7%
인 22
 
5.4%
광 22
 
5.4%
역 22
 
5.4%
시 22
 
5.4%
서 22
 
5.4%
구 22
 
5.4%
천 22
 
5.4%
동 22
 
5.4%
- 20
 
4.9%
Other values (40) 144
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
56.4%
Decimal Number 90
 
22.1%
Space Separator 68
 
16.7%
Dash Punctuation 20
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 22
9.6%
광 22
9.6%
역 22
9.6%
시 22
9.6%
서 22
9.6%
구 22
9.6%
천 22
9.6%
동 22
9.6%
청 5
 
2.2%
라 5
 
2.2%
Other values (28) 44
19.1%
Decimal Number
ValueCountFrequency (%)
1 18
20.0%
5 13
14.4%
0 12
13.3%
9 11
12.2%
2 10
11.1%
6 7
 
7.8%
3 6
 
6.7%
8 5
 
5.6%
7 5
 
5.6%
4 3
 
3.3%
Space Separator
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
56.4%
Common 178
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 22
9.6%
광 22
9.6%
역 22
9.6%
시 22
9.6%
서 22
9.6%
구 22
9.6%
천 22
9.6%
동 22
9.6%
청 5
 
2.2%
라 5
 
2.2%
Other values (28) 44
19.1%
Common
ValueCountFrequency (%)
68
38.2%
- 20
 
11.2%
1 18
 
10.1%
5 13
 
7.3%
0 12
 
6.7%
9 11
 
6.2%
2 10
 
5.6%
6 7
 
3.9%
3 6
 
3.4%
8 5
 
2.8%
Other values (2) 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
56.4%
ASCII 178
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
38.2%
- 20
 
11.2%
1 18
 
10.1%
5 13
 
7.3%
0 12
 
6.7%
9 11
 
6.2%
2 10
 
5.6%
6 7
 
3.9%
3 6
 
3.4%
8 5
 
2.8%
Other values (2) 8
 
4.5%
Hangul
ValueCountFrequency (%)
인 22
9.6%
광 22
9.6%
역 22
9.6%
시 22
9.6%
서 22
9.6%
구 22
9.6%
천 22
9.6%
동 22
9.6%
청 5
 
2.2%
라 5
 
2.2%
Other values (28) 44
19.1%

남녀공용화장실여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size154.0 B
False
22 
ValueCountFrequency (%)
False 22
100.0%
2024-01-14T22:46:49.421745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
2
11 
0
5 
3
3 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 11
50.0%
0 5
22.7%
3 3
 
13.6%
1 3
 
13.6%

Length

2024-01-14T22:46:49.587759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:49.761914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 11
50.0%
0 5
22.7%
3 3
 
13.6%
1 3
 
13.6%

남성용-소변기수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
2
13 
3
4 
1
3 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row3
4th row4
5th row2

Common Values

ValueCountFrequency (%)
2 13
59.1%
3 4
 
18.2%
1 3
 
13.6%
4 2
 
9.1%

Length

2024-01-14T22:46:49.901099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:50.032851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 13
59.1%
3 4
 
18.2%
1 3
 
13.6%
4 2
 
9.1%

남성용-장애인용대변기수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
13 
0
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 13
59.1%
0 9
40.9%

Length

2024-01-14T22:46:50.195171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:50.361313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
59.1%
0 9
40.9%

남성용-장애인용소변기수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
17 
1
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
77.3%
1 5
 
22.7%

Length

2024-01-14T22:46:50.526661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:50.700310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
77.3%
1 5
 
22.7%

남성용-어린이용대변기수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-01-14T22:46:50.864453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:50.977043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

남성용-어린이용소변기수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-01-14T22:46:51.110685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:51.256130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

여성용-대변기수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2
10 
3
5 
4
3 
1
3 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row3
2nd row4
3rd row5
4th row3
5th row2

Common Values

ValueCountFrequency (%)
2 10
45.5%
3 5
22.7%
4 3
 
13.6%
1 3
 
13.6%
5 1
 
4.5%

Length

2024-01-14T22:46:51.401879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:51.539658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 10
45.5%
3 5
22.7%
4 3
 
13.6%
1 3
 
13.6%
5 1
 
4.5%

여성용-장애인용대변기수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
14 
0
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 14
63.6%
0 8
36.4%

Length

2024-01-14T22:46:51.724541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:51.913246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
63.6%
0 8
36.4%

여성용-어린이용대변기수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
100.0%

Length

2024-01-14T22:46:52.096506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:52.253878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

관리기관명
Text

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-14T22:46:52.471180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length16.727273
Min length14

Characters and Unicode

Total characters368
Distinct characters70
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)72.7%

Sample

1st row인천광역시 서구 신거북시장연합회
2nd row인천광역시 서구 가좌시장연합회
3rd row인천광역시 서구 정서진중앙시장연합회
4th row인천광역시 서구 강남시장 고객지원센터
5th row인천광역시 서구 한종프라자 관리소
ValueCountFrequency (%)
인천광역시 22
28.9%
서구 16
21.1%
관리소 9
11.8%
생태하천과 6
 
7.9%
서구청 6
 
7.9%
당하메디컬센터 1
 
1.3%
영프라자 1
 
1.3%
에이스타워 1
 
1.3%
인하메디컬센타 1
 
1.3%
서주빌딩 1
 
1.3%
Other values (12) 12
15.8%
2024-01-14T22:46:52.906059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
14.7%
천 28
 
7.6%
시 26
 
7.1%
서 24
 
6.5%
인 23
 
6.2%
광 22
 
6.0%
역 22
 
6.0%
구 22
 
6.0%
소 10
 
2.7%
관 9
 
2.4%
Other values (60) 128
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
85.3%
Space Separator 54
 
14.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 28
 
8.9%
시 26
 
8.3%
서 24
 
7.6%
인 23
 
7.3%
광 22
 
7.0%
역 22
 
7.0%
구 22
 
7.0%
소 10
 
3.2%
관 9
 
2.9%
리 9
 
2.9%
Other values (59) 119
37.9%
Space Separator
ValueCountFrequency (%)
54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
85.3%
Common 54
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 28
 
8.9%
시 26
 
8.3%
서 24
 
7.6%
인 23
 
7.3%
광 22
 
7.0%
역 22
 
7.0%
구 22
 
7.0%
소 10
 
3.2%
관 9
 
2.9%
리 9
 
2.9%
Other values (59) 119
37.9%
Common
ValueCountFrequency (%)
54
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
85.3%
ASCII 54
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
100.0%
Hangul
ValueCountFrequency (%)
천 28
 
8.9%
시 26
 
8.3%
서 24
 
7.6%
인 23
 
7.3%
광 22
 
7.0%
역 22
 
7.0%
구 22
 
7.0%
소 10
 
3.2%
관 9
 
2.9%
리 9
 
2.9%
Other values (59) 119
37.9%

전화번호
Text

MISSING 

Distinct16
Distinct (%)76.2%
Missing1
Missing (%)4.5%
Memory size308.0 B
2024-01-14T22:46:53.089459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)71.4%

Sample

1st row032-577-3528
2nd row032-584-5006
3rd row032-575-5002
4th row032-575-0123
5th row032-569-2222
ValueCountFrequency (%)
032-560-3053 6
28.6%
032-584-5006 1
 
4.8%
032-575-5002 1
 
4.8%
032-575-0123 1
 
4.8%
032-569-2222 1
 
4.8%
032-561-9977 1
 
4.8%
032-568-5850 1
 
4.8%
032-567-8833 1
 
4.8%
032-568-5080 1
 
4.8%
032-577-3528 1
 
4.8%
Other values (6) 6
28.6%
2024-01-14T22:46:53.422306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
18.3%
3 43
17.1%
- 42
16.7%
5 35
13.9%
2 29
11.5%
6 22
8.7%
8 14
 
5.6%
7 8
 
3.2%
4 5
 
2.0%
1 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
21.9%
3 43
20.5%
5 35
16.7%
2 29
13.8%
6 22
10.5%
8 14
 
6.7%
7 8
 
3.8%
4 5
 
2.4%
1 4
 
1.9%
9 4
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
18.3%
3 43
17.1%
- 42
16.7%
5 35
13.9%
2 29
11.5%
6 22
8.7%
8 14
 
5.6%
7 8
 
3.2%
4 5
 
2.0%
1 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
18.3%
3 43
17.1%
- 42
16.7%
5 35
13.9%
2 29
11.5%
6 22
8.7%
8 14
 
5.6%
7 8
 
3.2%
4 5
 
2.0%
1 4
 
1.6%

개방시간
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
24시간
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24시간
2nd row24시간
3rd row24시간
4th row24시간
5th row24시간

Common Values

ValueCountFrequency (%)
24시간 22
100.0%

Length

2024-01-14T22:46:53.603526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:46:53.730900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24시간 22
100.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.553442
Minimum37.49414
Maximum37.618427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:46:54.178931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.49414
5-th percentile37.499126
Q137.522375
median37.54375
Q337.592391
95-th percentile37.602994
Maximum37.618427
Range0.12428705
Interquartile range (IQR)0.070016413

Descriptive statistics

Standard deviation0.038280296
Coefficient of variation (CV)0.0010193552
Kurtosis-1.3136861
Mean37.553442
Median Absolute Deviation (MAD)0.030700685
Skewness0.078911544
Sum826.17573
Variance0.001465381
MonotonicityNot monotonic
2024-01-14T22:46:54.342699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.5035351 1
 
4.5%
37.5735133 1
 
4.5%
37.5434 1
 
4.5%
37.5441 1
 
4.5%
37.5432 1
 
4.5%
37.5241 1
 
4.5%
37.5218 1
 
4.5%
37.54072625 1
 
4.5%
37.53071 1
 
4.5%
37.49889344 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
37.49413978 1
4.5%
37.49889344 1
4.5%
37.5035351 1
4.5%
37.51211193 1
4.5%
37.5179144 1
4.5%
37.5218 1
4.5%
37.5241 1
4.5%
37.53071 1
4.5%
37.54072625 1
4.5%
37.5432 1
4.5%
ValueCountFrequency (%)
37.61842683 1
4.5%
37.6030147 1
4.5%
37.60260113 1
4.5%
37.5939004 1
4.5%
37.5932493 1
4.5%
37.59316719 1
4.5%
37.59006408 1
4.5%
37.5735133 1
4.5%
37.5666003 1
4.5%
37.56656197 1
4.5%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66403
Minimum126.6123
Maximum126.69602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-14T22:46:54.502290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6123
5-th percentile126.61682
Q1126.65599
median126.67203
Q3126.67594
95-th percentile126.69259
Maximum126.69602
Range0.0837164
Interquartile range (IQR)0.01994795

Descriptive statistics

Standard deviation0.02292741
Coefficient of variation (CV)0.00018100964
Kurtosis0.32203657
Mean126.66403
Median Absolute Deviation (MAD)0.0100097
Skewness-1.0058097
Sum2786.6087
Variance0.00052566613
MonotonicityNot monotonic
2024-01-14T22:46:54.658073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
126.6727118 1
 
4.5%
126.6632941 1
 
4.5%
126.616 1
 
4.5%
126.6323 1
 
4.5%
126.6427 1
 
4.5%
126.6354 1
 
4.5%
126.6123 1
 
4.5%
126.6762656 1
 
4.5%
126.66941 1
 
4.5%
126.6715071 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
126.6123 1
4.5%
126.616 1
4.5%
126.6323 1
4.5%
126.6354 1
4.5%
126.6427 1
4.5%
126.6555124 1
4.5%
126.6574261 1
4.5%
126.6632941 1
4.5%
126.66941 1
4.5%
126.6711334 1
4.5%
ValueCountFrequency (%)
126.6960164 1
4.5%
126.6930738 1
4.5%
126.6833968 1
4.5%
126.6833075 1
4.5%
126.6807644 1
4.5%
126.6762656 1
4.5%
126.6749583 1
4.5%
126.6743632 1
4.5%
126.6742993 1
4.5%
126.6727118 1
4.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-12-06 00:00:00
Maximum2023-12-06 00:00:00
2024-01-14T22:46:54.795679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:46:54.926298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-14T22:46:45.599817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:46:45.346102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:46:45.730366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:46:45.480227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T22:46:55.093561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분화장실명소재지도로명주소소재지지번주소남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수여성용-대변기수여성용-장애인용대변기수관리기관명전화번호위도경도
구분1.0001.0001.0001.0000.0000.8420.0000.0000.4530.0001.0001.0000.9500.000
화장실명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
남성용-대변기수0.0001.0001.0001.0001.0000.4190.7560.6170.3700.8010.9410.9850.6650.904
남성용-소변기수0.8421.0001.0001.0000.4191.0000.2780.1410.4080.3280.7880.8730.6200.449
남성용-장애인용대변기수0.0001.0001.0001.0000.7560.2781.0000.4150.0000.9521.0001.0000.0000.551
남성용-장애인용소변기수0.0001.0001.0001.0000.6170.1410.4151.0000.2350.3271.0001.0000.0000.000
여성용-대변기수0.4531.0001.0001.0000.3700.4080.0000.2351.0000.0000.8720.8850.7950.000
여성용-장애인용대변기수0.0001.0001.0001.0000.8010.3280.9520.3270.0001.0001.0001.0000.0000.693
관리기관명1.0001.0001.0001.0000.9410.7881.0001.0000.8721.0001.0001.0000.0000.000
전화번호1.0001.0001.0001.0000.9850.8731.0001.0000.8851.0001.0001.0000.0000.000
위도0.9501.0001.0001.0000.6650.6200.0000.0000.7950.0000.0000.0001.0000.737
경도0.0001.0001.0001.0000.9040.4490.5510.0000.0000.6930.0000.0000.7371.000
2024-01-14T22:46:55.337938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
여성용-장애인용대변기수남성용-대변기수여성용-대변기수남성용-장애인용소변기수구분남성용-장애인용대변기수남성용-소변기수
여성용-장애인용대변기수1.0000.5590.0000.2070.0000.8020.191
남성용-대변기수0.5591.0000.2850.3990.0000.5160.151
여성용-대변기수0.0000.2851.0000.2490.5010.0000.320
남성용-장애인용소변기수0.2070.3990.2491.0000.0000.2680.033
구분0.0000.0000.5010.0001.0000.0000.603
남성용-장애인용대변기수0.8020.5160.0000.2680.0001.0000.156
남성용-소변기수0.1910.1510.3200.0330.6030.1561.000
2024-01-14T22:46:55.478730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수여성용-대변기수여성용-장애인용대변기수
위도1.0000.1770.6210.3560.3170.0000.0000.3530.000
경도0.1771.0000.0000.5240.1360.3280.0000.0000.429
구분0.6210.0001.0000.0000.6030.0000.0000.5010.000
남성용-대변기수0.3560.5240.0001.0000.1510.5160.3990.2850.559
남성용-소변기수0.3170.1360.6030.1511.0000.1560.0330.3200.191
남성용-장애인용대변기수0.0000.3280.0000.5160.1561.0000.2680.0000.802
남성용-장애인용소변기수0.0000.0000.0000.3990.0330.2681.0000.2490.207
여성용-대변기수0.3530.0000.5010.2850.3200.0000.2491.0000.000
여성용-장애인용대변기수0.0000.4290.0000.5590.1910.8020.2070.0001.000

Missing values

2024-01-14T22:46:45.941867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:46:46.382747image/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.
2024-01-14T22:46:46.584933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간위도경도데이터기준일자
0공중화장실신거북시장인천광역시 서구 면개포로 5인천광역시 서구 석남동 540-27N221100310인천광역시 서구 신거북시장연합회032-577-352824시간37.503535126.6727122023-12-06
1공중화장실가좌시장인천광역시 서구 장고개로337번길 18-19인천광역시 서구 가좌동 30-56N340000400인천광역시 서구 가좌시장연합회032-584-500624시간37.49414126.6833972023-12-06
2공중화장실정서진중앙시장인천광역시 서구 가정로 369인천광역시 서구 신현동 272N231100510인천광역시 서구 정서진중앙시장연합회032-575-500224시간37.517914126.6725452023-12-06
3공중화장실강남시장고객지원센터인천광역시 서구 가정로307번길 11-2인천광역시 서구 석남동 452-39N240000300인천광역시 서구 강남시장 고객지원센터032-575-012324시간37.512112126.6711332023-12-06
4개방화장실한종프라자인천광역시 서구 원당대로 663인천광역시 서구 마전동 1057-1N220000200인천광역시 서구 한종프라자 관리소032-569-222224시간37.5939126.6749582023-12-06
5개방화장실현우프라자인천광역시 서구 승학로 574인천광역시 서구 검암동 513-10N320000300인천광역시 서구 현우프라자 관리소032-561-997724시간37.5666126.6833072023-12-06
6개방화장실창신프라자인천광역시 서구 원당대로 852인천광역시 서구 당하동 1028-7N221100210인천광역시 서구 창신프라자 관리소032-568-585024시간37.593167126.6960162023-12-06
7개방화장실으뜸빌딩인천광역시 서구 완정로 190인천광역시 서구 마전동 904-6N231100210인천광역시 서구 으뜸빌딩 관리소032-567-883324시간37.603015126.6555122023-12-06
8개방화장실당하메디칼센터인천광역시 서구 서곶로 816인천광역시 서구 당하동 895-1N220000200인천광역시 서구 당하메디컬센터 관리소032-568-508024시간37.590064126.6743632023-12-06
9개방화장실영프라자인천광역시 서구 원당대로 660인천광역시 서구 당하동 1092-1N221100210인천광역시 서구 영프라자 관리소032-561-640024시간37.593249126.6742992023-12-06
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간위도경도데이터기준일자
12개방화장실백석대교 밑 공원<NA>인천광역시 서구 백석동 152-82N221000210인천광역시 서구청 생태하천과032-560-305324시간37.573513126.6632942023-12-06
13개방화장실서주빌딩인천광역시 서구 완정로 172인천광역시 서구 마전동 910-1N230000310인천광역시 서구 서주빌딩 관리소032-563-036824시간37.602601126.6574262023-12-06
14개방화장실인하메디컬센타인천광역시 서구 건지로 264인천광역시 서구 가좌동 106-5N121000310인천광역시 서구 인하메디컬센타032-584-888324시간37.498893126.6715072023-12-06
15개방화장실에이스타워인천광역시 서구 봉오재3로94번길 19, 에이스타워 (가정동)인천광역시 서구 가정동 618-6 에이스타워N221000410인천광역시 서구 에이스타워<NA>24시간37.53071126.669412023-12-06
16개방화장실태평주유소인천광역시 서구 서곶로 259, 태평주유소 (심곡동)인천광역시 서구 심곡동 255-5 태평주유소N120000100인천광역시 서구 태평주유소032-562-038724시간37.540726126.6762662023-12-06
17개방화장실심곡천 공중화장실1<NA>인천광역시 서구 청라동 101-9N021000210인천광역시 서구청 생태하천과032-560-305324시간37.5218126.61232023-12-06
18개방화장실심곡천 공중화장실2<NA>인천광역시 서구 청라동 173-9N021000210인천광역시 서구청 생태하천과032-560-305324시간37.5241126.63542023-12-06
19개방화장실공촌천 공중화장실1인천광역시 서구 첨단서로 130인천광역시 서구 청라동 9-91N021000210인천광역시 서구청 생태하천과032-560-305324시간37.5432126.64272023-12-06
20개방화장실공촌천 공중화장실2<NA>인천광역시 서구 청라동 9-95N011000110인천광역시 서구청 생태하천과032-560-305324시간37.5441126.63232023-12-06
21개방화장실공촌천 공중화장실3<NA>인천광역시 서구 청라동 6-23N011000110인천광역시 서구청 생태하천과032-560-305324시간37.5434126.6162023-12-06