Overview

Dataset statistics

Number of variables30
Number of observations21
Missing cells37
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory258.1 B

Variable types

Categorical16
Text5
Numeric5
Boolean3
DateTime1

Dataset

Description경기도 화성시 공원의 화장실 설치현황입니다. 화장실명, 소재지도로명주소, 소재지지번주소, 남녀공용화장실여부, 남성용-대변기수, 남성용-소변기수 등을 확인할 수 있습니다.
Author화성도시공사
URLhttps://www.data.go.kr/data/15126950/fileData.do

Alerts

구분 has constant value ""Constant
남녀공용화장실여부 has constant value ""Constant
남성용-장애인용소변기수 has constant value ""Constant
남성용-어린이용대변기수 has constant value ""Constant
남성용-어린이용소변기수 has constant value ""Constant
여성용-어린이용대변기수 has constant value ""Constant
관리기관명 has constant value ""Constant
전화번호 has constant value ""Constant
개방시간 has constant value ""Constant
화장실소유구분 has constant value ""Constant
화장실설치장소유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
오물처리방식 is highly imbalanced (72.4%)Imbalance
비상벨설치여부 is highly imbalanced (72.4%)Imbalance
비상벨설치장소 is highly imbalanced (72.4%)Imbalance
기저귀교환대유무 is highly imbalanced (54.6%)Imbalance
기저귀교환대장소 has 19 (90.5%) missing valuesMissing
리모델링연월 has 18 (85.7%) missing valuesMissing
화장실명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
남성용-소변기수 has 1 (4.8%) zerosZeros

Reproduction

Analysis started2024-03-14 22:45:48.047396
Analysis finished2024-03-14 22:45:48.876352
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
개방화장실
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개방화장실 21
100.0%

Length

2024-03-15T07:45:48.983227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:45:49.154531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방화장실 21
100.0%

화장실명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T07:45:49.763162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.2380952
Min length3

Characters and Unicode

Total characters131
Distinct characters72
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row홍난파생가
2nd row만의사
3rd row용주사
4th row입파도
5th row초록산 산림욕장1
ValueCountFrequency (%)
초록산 2
 
7.1%
산림욕장2 2
 
7.1%
홍난파생가 1
 
3.6%
보통리 1
 
3.6%
벚꽃화장실 1
 
3.6%
농산물재래시장 1
 
3.6%
마도 1
 
3.6%
양감공설묘지 1
 
3.6%
공룡포도쉼터 1
 
3.6%
장안대교(밑 1
 
3.6%
Other values (16) 16
57.1%
2024-03-15T07:45:50.735070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
8.4%
10
 
7.6%
7
 
5.3%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (62) 79
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
86.3%
Space Separator 11
 
8.4%
Decimal Number 3
 
2.3%
Close Punctuation 2
 
1.5%
Open Punctuation 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
8.8%
7
 
6.2%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (57) 69
61.1%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
86.3%
Common 18
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
8.8%
7
 
6.2%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (57) 69
61.1%
Common
ValueCountFrequency (%)
11
61.1%
) 2
 
11.1%
( 2
 
11.1%
2 2
 
11.1%
1 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
86.3%
ASCII 18
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
61.1%
) 2
 
11.1%
( 2
 
11.1%
2 2
 
11.1%
1 1
 
5.6%
Hangul
ValueCountFrequency (%)
10
 
8.8%
7
 
6.2%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
Other values (57) 69
61.1%
Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T07:45:51.598038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length12.571429
Min length6

Characters and Unicode

Total characters264
Distinct characters59
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

Unique19 ?
Unique (%)90.5%

Sample

1st row활초리 279-3
2nd row중동 145
3rd row송산동 195-7 (용주로 135-6)
4th row우정읍 국화리 산6
5th row양감면 사창리 810-9
ValueCountFrequency (%)
양감면 3
 
4.8%
사창리 3
 
4.8%
우정읍 2
 
3.2%
향남읍 2
 
3.2%
장안리 2
 
3.2%
장안면 2
 
3.2%
남양리 2
 
3.2%
송산면 2
 
3.2%
정남면 2
 
3.2%
마도면 2
 
3.2%
Other values (39) 40
64.5%
2024-03-15T07:45:52.919433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
15.5%
19
 
7.2%
1 18
 
6.8%
- 15
 
5.7%
2 13
 
4.9%
12
 
4.5%
4 10
 
3.8%
6 10
 
3.8%
3 7
 
2.7%
9 7
 
2.7%
Other values (49) 112
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
45.5%
Decimal Number 86
32.6%
Space Separator 41
 
15.5%
Dash Punctuation 15
 
5.7%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
15.8%
12
 
10.0%
6
 
5.0%
6
 
5.0%
5
 
4.2%
5
 
4.2%
5
 
4.2%
5
 
4.2%
4
 
3.3%
4
 
3.3%
Other values (35) 49
40.8%
Decimal Number
ValueCountFrequency (%)
1 18
20.9%
2 13
15.1%
4 10
11.6%
6 10
11.6%
3 7
 
8.1%
9 7
 
8.1%
5 7
 
8.1%
8 6
 
7.0%
0 4
 
4.7%
7 4
 
4.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
54.5%
Hangul 120
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
15.8%
12
 
10.0%
6
 
5.0%
6
 
5.0%
5
 
4.2%
5
 
4.2%
5
 
4.2%
5
 
4.2%
4
 
3.3%
4
 
3.3%
Other values (35) 49
40.8%
Common
ValueCountFrequency (%)
41
28.5%
1 18
12.5%
- 15
 
10.4%
2 13
 
9.0%
4 10
 
6.9%
6 10
 
6.9%
3 7
 
4.9%
9 7
 
4.9%
5 7
 
4.9%
8 6
 
4.2%
Other values (4) 10
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
54.5%
Hangul 120
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
28.5%
1 18
12.5%
- 15
 
10.4%
2 13
 
9.0%
4 10
 
6.9%
6 10
 
6.9%
3 7
 
4.9%
9 7
 
4.9%
5 7
 
4.9%
8 6
 
4.2%
Other values (4) 10
 
6.9%
Hangul
ValueCountFrequency (%)
19
 
15.8%
12
 
10.0%
6
 
5.0%
6
 
5.0%
5
 
4.2%
5
 
4.2%
5
 
4.2%
5
 
4.2%
4
 
3.3%
4
 
3.3%
Other values (35) 49
40.8%
Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T07:45:53.705379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length12.571429
Min length6

Characters and Unicode

Total characters264
Distinct characters59
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

Unique19 ?
Unique (%)90.5%

Sample

1st row활초리 279-3
2nd row중동 145
3rd row송산동 195-7 (용주로 135-6)
4th row우정읍 국화리 산6
5th row양감면 사창리 810-9
ValueCountFrequency (%)
양감면 3
 
4.8%
사창리 3
 
4.8%
우정읍 2
 
3.2%
향남읍 2
 
3.2%
장안리 2
 
3.2%
장안면 2
 
3.2%
남양리 2
 
3.2%
송산면 2
 
3.2%
정남면 2
 
3.2%
마도면 2
 
3.2%
Other values (39) 40
64.5%
2024-03-15T07:45:54.729869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
15.5%
19
 
7.2%
1 18
 
6.8%
- 15
 
5.7%
2 13
 
4.9%
12
 
4.5%
4 10
 
3.8%
6 10
 
3.8%
3 7
 
2.7%
9 7
 
2.7%
Other values (49) 112
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
45.5%
Decimal Number 86
32.6%
Space Separator 41
 
15.5%
Dash Punctuation 15
 
5.7%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
15.8%
12
 
10.0%
6
 
5.0%
6
 
5.0%
5
 
4.2%
5
 
4.2%
5
 
4.2%
5
 
4.2%
4
 
3.3%
4
 
3.3%
Other values (35) 49
40.8%
Decimal Number
ValueCountFrequency (%)
1 18
20.9%
2 13
15.1%
4 10
11.6%
6 10
11.6%
3 7
 
8.1%
9 7
 
8.1%
5 7
 
8.1%
8 6
 
7.0%
0 4
 
4.7%
7 4
 
4.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
54.5%
Hangul 120
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
15.8%
12
 
10.0%
6
 
5.0%
6
 
5.0%
5
 
4.2%
5
 
4.2%
5
 
4.2%
5
 
4.2%
4
 
3.3%
4
 
3.3%
Other values (35) 49
40.8%
Common
ValueCountFrequency (%)
41
28.5%
1 18
12.5%
- 15
 
10.4%
2 13
 
9.0%
4 10
 
6.9%
6 10
 
6.9%
3 7
 
4.9%
9 7
 
4.9%
5 7
 
4.9%
8 6
 
4.2%
Other values (4) 10
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
54.5%
Hangul 120
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
28.5%
1 18
12.5%
- 15
 
10.4%
2 13
 
9.0%
4 10
 
6.9%
6 10
 
6.9%
3 7
 
4.9%
9 7
 
4.9%
5 7
 
4.9%
8 6
 
4.2%
Other values (4) 10
 
6.9%
Hangul
ValueCountFrequency (%)
19
 
15.8%
12
 
10.0%
6
 
5.0%
6
 
5.0%
5
 
4.2%
5
 
4.2%
5
 
4.2%
5
 
4.2%
4
 
3.3%
4
 
3.3%
Other values (35) 49
40.8%

남녀공용화장실여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
21
100.0%

Length

2024-03-15T07:45:54.946298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:45:55.128254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21
100.0%
Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2
14 
1
0
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row0
2nd row2
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 14
66.7%
1 5
 
23.8%
0 1
 
4.8%
3 1
 
4.8%

Length

2024-03-15T07:45:55.427614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:45:55.755749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 14
66.7%
1 5
 
23.8%
0 1
 
4.8%
3 1
 
4.8%

남성용-소변기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4285714
Minimum0
Maximum6
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T07:45:56.067111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4342743
Coefficient of variation (CV)0.59058355
Kurtosis0.78531108
Mean2.4285714
Median Absolute Deviation (MAD)1
Skewness0.72015145
Sum51
Variance2.0571429
MonotonicityNot monotonic
2024-03-15T07:45:56.423689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 7
33.3%
1 5
23.8%
2 5
23.8%
5 1
 
4.8%
6 1
 
4.8%
0 1
 
4.8%
4 1
 
4.8%
ValueCountFrequency (%)
0 1
 
4.8%
1 5
23.8%
2 5
23.8%
3 7
33.3%
4 1
 
4.8%
5 1
 
4.8%
6 1
 
4.8%
ValueCountFrequency (%)
6 1
 
4.8%
5 1
 
4.8%
4 1
 
4.8%
3 7
33.3%
2 5
23.8%
1 5
23.8%
0 1
 
4.8%
Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
0
13 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 13
61.9%
1 8
38.1%

Length

2024-03-15T07:45:56.885391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:45:57.090250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
61.9%
1 8
38.1%
Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
0
21 

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 21
100.0%

Length

2024-03-15T07:45:57.372521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:45:57.731005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%
Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
0
21 

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 21
100.0%

Length

2024-03-15T07:45:58.066544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:45:58.506903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%
Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
0
21 

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 21
100.0%

Length

2024-03-15T07:45:58.868977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:45:59.525127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

여성용-대변기수
Real number (ℝ)

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7619048
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T07:45:59.824293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8413246
Coefficient of variation (CV)0.66668648
Kurtosis2.1525579
Mean2.7619048
Median Absolute Deviation (MAD)1
Skewness1.5023622
Sum58
Variance3.3904762
MonotonicityNot monotonic
2024-03-15T07:46:00.307581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 7
33.3%
1 5
23.8%
3 5
23.8%
5 2
 
9.5%
6 1
 
4.8%
8 1
 
4.8%
ValueCountFrequency (%)
1 5
23.8%
2 7
33.3%
3 5
23.8%
5 2
 
9.5%
6 1
 
4.8%
8 1
 
4.8%
ValueCountFrequency (%)
8 1
 
4.8%
6 1
 
4.8%
5 2
 
9.5%
3 5
23.8%
2 7
33.3%
1 5
23.8%
Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
0
17 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
81.0%
1 4
 
19.0%

Length

2024-03-15T07:46:00.915409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:01.331460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
1 4
 
19.0%
Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
0
21 

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 21
100.0%

Length

2024-03-15T07:46:01.742525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:02.184528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
화성도시공사
21 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성도시공사 21
100.0%

Length

2024-03-15T07:46:02.618109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:02.966535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성도시공사 21
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
031-8059-6432
21 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8059-6432
2nd row031-8059-6432
3rd row031-8059-6432
4th row031-8059-6432
5th row031-8059-6432

Common Values

ValueCountFrequency (%)
031-8059-6432 21
100.0%

Length

2024-03-15T07:46:03.402254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:03.661519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8059-6432 21
100.0%

개방시간
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
(평일,주말,공휴일)00:00~24:00 / 연중무휴
21 

Length

Max length29
Median length29
Mean length29
Min length29

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(평일,주말,공휴일)00:00~24:00 / 연중무휴
2nd row(평일,주말,공휴일)00:00~24:00 / 연중무휴
3rd row(평일,주말,공휴일)00:00~24:00 / 연중무휴
4th row(평일,주말,공휴일)00:00~24:00 / 연중무휴
5th row(평일,주말,공휴일)00:00~24:00 / 연중무휴

Common Values

ValueCountFrequency (%)
(평일,주말,공휴일)00:00~24:00 / 연중무휴 21
100.0%

Length

2024-03-15T07:46:03.903270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:04.121583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일,주말,공휴일)00:00~24:00 21
33.3%
21
33.3%
연중무휴 21
33.3%

설치연월
Real number (ℝ)

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.7619
Minimum1990
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T07:46:04.280596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile1997
Q12003
median2003
Q32009
95-th percentile2020
Maximum2021
Range31
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.6217108
Coefficient of variation (CV)0.0037999081
Kurtosis0.51559674
Mean2005.7619
Median Absolute Deviation (MAD)5
Skewness0.42128019
Sum42121
Variance58.090476
MonotonicityNot monotonic
2024-03-15T07:46:04.591772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2003 7
33.3%
2009 3
14.3%
1997 2
 
9.5%
2008 2
 
9.5%
2001 1
 
4.8%
2002 1
 
4.8%
2010 1
 
4.8%
1990 1
 
4.8%
2019 1
 
4.8%
2020 1
 
4.8%
ValueCountFrequency (%)
1990 1
 
4.8%
1997 2
 
9.5%
2001 1
 
4.8%
2002 1
 
4.8%
2003 7
33.3%
2008 2
 
9.5%
2009 3
14.3%
2010 1
 
4.8%
2019 1
 
4.8%
2020 1
 
4.8%
ValueCountFrequency (%)
2021 1
 
4.8%
2020 1
 
4.8%
2019 1
 
4.8%
2010 1
 
4.8%
2009 3
14.3%
2008 2
 
9.5%
2003 7
33.3%
2002 1
 
4.8%
2001 1
 
4.8%
1997 2
 
9.5%

위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.1524
Minimum37.023168
Maximum37.25083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T07:46:04.799071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.023168
5-th percentile37.029482
Q137.094276
median37.172832
Q337.207926
95-th percentile37.214067
Maximum37.25083
Range0.2276621
Interquartile range (IQR)0.1136502

Descriptive statistics

Standard deviation0.065261182
Coefficient of variation (CV)0.0017565805
Kurtosis-0.74744584
Mean37.1524
Median Absolute Deviation (MAD)0.039295
Skewness-0.54803211
Sum780.20039
Variance0.0042590218
MonotonicityNot monotonic
2024-03-15T07:46:05.010351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.179609 1
 
4.8%
37.2087887 1
 
4.8%
37.0848289 1
 
4.8%
37.1284691 1
 
4.8%
37.2064461 1
 
4.8%
37.094276 1
 
4.8%
37.2508299 1
 
4.8%
37.0294818 1
 
4.8%
37.1335367 1
 
4.8%
37.0231678 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
37.0231678 1
4.8%
37.0294818 1
4.8%
37.0848289 1
4.8%
37.0921049 1
4.8%
37.0922076 1
4.8%
37.094276 1
4.8%
37.1050081 1
4.8%
37.1284691 1
4.8%
37.1335367 1
4.8%
37.1584714 1
4.8%
ValueCountFrequency (%)
37.2508299 1
4.8%
37.214067 1
4.8%
37.2102479 1
4.8%
37.2095764 1
4.8%
37.2087887 1
4.8%
37.2079262 1
4.8%
37.2068894 1
4.8%
37.2064461 1
4.8%
37.1916283 1
4.8%
37.179609 1
4.8%

경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.85723
Minimum126.54094
Maximum127.14891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T07:46:05.208470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54094
5-th percentile126.65677
Q1126.77981
median126.8514
Q3126.9551
95-th percentile127.00465
Maximum127.14891
Range0.607974
Interquartile range (IQR)0.1752861

Descriptive statistics

Standard deviation0.13256787
Coefficient of variation (CV)0.0010450163
Kurtosis0.95761848
Mean126.85723
Median Absolute Deviation (MAD)0.1035892
Skewness-0.23760706
Sum2664.0017
Variance0.017574241
MonotonicityNot monotonic
2024-03-15T07:46:05.516452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
126.834529 1
 
4.8%
127.1489093 1
 
4.8%
126.8216344 1
 
4.8%
126.9043484 1
 
4.8%
126.7798123 1
 
4.8%
126.9652171 1
 
4.8%
126.7449584 1
 
4.8%
126.8568703 1
 
4.8%
126.9039322 1
 
4.8%
126.8514019 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
126.5409353 1
4.8%
126.6567683 1
4.8%
126.737444 1
4.8%
126.7449584 1
4.8%
126.7733772 1
4.8%
126.7798123 1
4.8%
126.8158492 1
4.8%
126.8177053 1
4.8%
126.8216344 1
4.8%
126.834529 1
4.8%
ValueCountFrequency (%)
127.1489093 1
4.8%
127.0046465 1
4.8%
126.9774953 1
4.8%
126.9652171 1
4.8%
126.9558102 1
4.8%
126.9550984 1
4.8%
126.9549911 1
4.8%
126.9043484 1
4.8%
126.9039322 1
4.8%
126.8568703 1
4.8%

화장실소유구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
지방자치단체
21 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방자치단체 21
100.0%

Length

2024-03-15T07:46:05.898825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:06.165029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방자치단체 21
100.0%

화장실설치장소유형
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
공공시설
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 21
100.0%

Length

2024-03-15T07:46:06.347607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:06.514950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 21
100.0%

오물처리방식
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
수세식
20 
재래식
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
수세식 20
95.2%
재래식 1
 
4.8%

Length

2024-03-15T07:46:06.695780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:06.998083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수세식 20
95.2%
재래식 1
 
4.8%

비상벨설치여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size149.0 B
True
20 
False
 
1
ValueCountFrequency (%)
True 20
95.2%
False 1
 
4.8%
2024-03-15T07:46:07.299101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상벨설치장소
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
여자화장실
20 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.952381
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
여자화장실 20
95.2%
<NA> 1
 
4.8%

Length

2024-03-15T07:46:07.736666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:46:08.254974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여자화장실 20
95.2%
na 1
 
4.8%
Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size149.0 B
False
13 
True
ValueCountFrequency (%)
False 13
61.9%
True 8
38.1%
2024-03-15T07:46:08.475971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size149.0 B
False
19 
True
ValueCountFrequency (%)
False 19
90.5%
True 2
 
9.5%
2024-03-15T07:46:08.649861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)100.0%
Missing19
Missing (%)90.5%
Memory size296.0 B
2024-03-15T07:46:09.014893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row여자화장실
2nd row남자화장실
ValueCountFrequency (%)
여자화장실 1
50.0%
남자화장실 1
50.0%
2024-03-15T07:46:09.702788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%

리모델링연월
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing18
Missing (%)85.7%
Memory size296.0 B
2024-03-15T07:46:10.042830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters15
Distinct characters6
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

Unique1 ?
Unique (%)33.3%

Sample

1st row2017년
2nd row2016년
3rd row2016년
ValueCountFrequency (%)
2016년 2
66.7%
2017년 1
33.3%
2024-03-15T07:46:10.687587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3
20.0%
0 3
20.0%
1 3
20.0%
3
20.0%
6 2
13.3%
7 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
80.0%
Other Letter 3
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3
25.0%
0 3
25.0%
1 3
25.0%
6 2
16.7%
7 1
 
8.3%
Other Letter
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
80.0%
Hangul 3
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3
25.0%
0 3
25.0%
1 3
25.0%
6 2
16.7%
7 1
 
8.3%
Hangul
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
80.0%
Hangul 3
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3
25.0%
0 3
25.0%
1 3
25.0%
6 2
16.7%
7 1
 
8.3%
Hangul
ValueCountFrequency (%)
3
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T07:46:10.865573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:46:11.023414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치여부비상벨설치장소화장실입구cctv설치여부기저귀교환대유무기저귀교환대장소리모델링연월데이터기준일자
0개방화장실홍난파생가활초리 279-3활초리 279-3011000100화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200137.179609126.834529지방자치단체공공시설수세식Y여자화장실YN<NA><NA>2023-12-31
1개방화장실만의사중동 145중동 145251000600화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴199737.208789127.148909지방자치단체공공시설수세식Y여자화장실YY여자화장실<NA>2023-12-31
2개방화장실용주사송산동 195-7 (용주로 135-6)송산동 195-7 (용주로 135-6)361000810화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴199737.210248127.004647지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
3개방화장실입파도우정읍 국화리 산6우정읍 국화리 산6220000200화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200937.105008126.540935지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
4개방화장실초록산 산림욕장1양감면 사창리 810-9양감면 사창리 810-9220000200화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200237.092208126.954991지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
5개방화장실초록산 산림욕장2양감면 사창리 810-9양감면 사창리 810-9110000100화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴201037.092105126.955098지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
6개방화장실서봉산 산림욕장2정남면 문학리 산 120-1정남면 문학리 산 120-1100000100화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200337.158471126.95581지방자치단체공공시설재래식N<NA>NN<NA><NA>2023-12-31
7개방화장실솔다리(송교리)서신면 송교리 379-26서신면 송교리 379-26230000200화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200337.172832126.656768지방자치단체공공시설수세식Y여자화장실NN<NA>2017년2023-12-31
8개방화장실사강시장송산면 사강리 646-3건물옆송산면 사강리 646-3건물옆220000200화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200337.214067126.737444지방자치단체공공시설수세식Y여자화장실NN<NA>2016년2023-12-31
9개방화장실남양시장남양리 1163-36남양리 1163-36231000510화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200837.209576126.815849지방자치단체공공시설수세식Y여자화장실YN<NA><NA>2023-12-31
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치여부비상벨설치장소화장실입구cctv설치여부기저귀교환대유무기저귀교환대장소리모델링연월데이터기준일자
11개방화장실남양버스터미널남양리 2254남양리 2254230000300화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200337.207926126.817705지방자치단체공공시설수세식Y여자화장실YN<NA><NA>2023-12-31
12개방화장실보통리 저수지정남면 보통리 92정남면 보통리 92230000300화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200337.191628126.977495지방자치단체공공시설수세식Y여자화장실NN<NA>2016년2023-12-31
13개방화장실남양호 상류장안면 장안리 2584장안면 장안리 2584120000100화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200837.023168126.851402지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
14개방화장실발안천향남읍 장짐리 401-46향남읍 장짐리 401-46110000200화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴201937.133537126.903932지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
15개방화장실장안대교(밑)장안면 장안리 2644-2장안면 장안리 2644-2111000100화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200337.029482126.85687지방자치단체공공시설수세식Y여자화장실YN<NA><NA>2023-12-31
16개방화장실공룡포도쉼터송산면 고정리 625-7송산면 고정리 625-7231000200화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200937.25083126.744958지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
17개방화장실양감공설묘지양감면 사창리 산115-1양감면 사창리 산115-1220000300화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200937.094276126.965217지방자치단체공공시설수세식Y여자화장실NN<NA><NA>2023-12-31
18개방화장실마도 농산물재래시장마도면 두곡리 318 옆마도면 두곡리 318 옆231000310화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴200337.206446126.779812지방자치단체공공시설수세식Y여자화장실YN<NA><NA>2023-12-31
19개방화장실벚꽃화장실향남읍 발안리 244-1향남읍 발안리 244-1240000500화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴202037.128469126.904348지방자치단체공공시설수세식Y여자화장실YN<NA><NA>2023-12-31
20개방화장실조암시장우정읍 조암리 811우정읍 조암리 811211000310화성도시공사031-8059-6432(평일,주말,공휴일)00:00~24:00 / 연중무휴202137.084829126.821634지방자치단체공공시설수세식Y여자화장실NY남자화장실<NA>2023-12-31