Overview

Dataset statistics

Number of variables29
Number of observations255
Missing cells63
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.6 KiB
Average record size in memory243.5 B

Variable types

Categorical14
Text4
Boolean5
Numeric5
DateTime1

Dataset

Description경기도 여주시의 개방 및 공중화장실 현황입니다. 화장실구분,화장실명,소재지도로명주소,소재지지번주소,남녀공용화장실여부,남성용-대변기수,남성용-소변기수,남성용-장애인용대변기수,남성용-장애인용소변기수,남성용-어린이용대변기수,남성용-어린이용소변기수,여성용-대변기수,여성용-장애인용대변기수,여성용-어린이용대변기수,관리기관명,관리기관전화번호,개방시간,위도,경도,화장실소유구분,화장실설치장소유형,오물처리방식,화장실정보공개여부,비상벨설치여부,비상벨설치장소,화장실CCTV설치여부,기저귀교환대유무,기저귀교환대장소 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15105029/fileData.do

Alerts

화장실정보공개여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
남녀공용화장실여부 is highly imbalanced (88.4%)Imbalance
남성용-장애인용소변기수 is highly imbalanced (56.3%)Imbalance
남성용-어린이용대변기수 is highly imbalanced (88.4%)Imbalance
남성용-어린이용소변기수 is highly imbalanced (91.7%)Imbalance
여성용-어린이용대변기수 is highly imbalanced (93.5%)Imbalance
오물처리방식 is highly imbalanced (93.4%)Imbalance
비상벨설치장소 is highly imbalanced (59.4%)Imbalance
화장실CCTV설치여부 is highly imbalanced (90.8%)Imbalance
소재지도로명주소 has 13 (5.1%) missing valuesMissing
관리기관전화번호 has 30 (11.8%) missing valuesMissing
위도 has 10 (3.9%) missing valuesMissing
경도 has 10 (3.9%) missing valuesMissing
남성용-대변기수 has 5 (2.0%) zerosZeros
남성용-소변기수 has 13 (5.1%) zerosZeros
여성용-대변기수 has 6 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-11 23:43:59.020654
Analysis finished2023-12-11 23:43:59.635886
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

화장실구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
개방화장실
203 
공중화장실
52 

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 203
79.6%
공중화장실 52
 
20.4%

Length

2023-12-12T08:43:59.693532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:43:59.791031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방화장실 203
79.6%
공중화장실 52
 
20.4%

화장실명
Text

Distinct243
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T08:44:00.039178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length10.458824
Min length5

Characters and Unicode

Total characters2667
Distinct characters263
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)91.4%

Sample

1st row가남LPG충전소
2nd row태평주유소·충전소화장실
3rd row한길주유소·충전소화장실
4th row서울주유소·충전소화장실
5th row신해주유소·충전소화장실
ValueCountFrequency (%)
여주수상센터화장실 3
 
1.1%
능서면복지회관화장실 3
 
1.1%
평생학습센터화장실 3
 
1.1%
능서체육공원화장실 2
 
0.8%
2층 2
 
0.8%
여주국민체육센터화장실 2
 
0.8%
행복주유소·충전소화장실 2
 
0.8%
금사면사무소화장실 2
 
0.8%
능서면사무소화장실 2
 
0.8%
100동화장실 2
 
0.8%
Other values (240) 242
91.3%
2023-12-12T08:44:00.451253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 276
 
10.3%
화 244
 
9.1%
실 242
 
9.1%
소 152
 
5.7%
주 110
 
4.1%
전 68
 
2.5%
유 67
 
2.5%
충 65
 
2.4%
· 63
 
2.4%
공 49
 
1.8%
Other values (253) 1331
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2460
92.2%
Decimal Number 91
 
3.4%
Other Punctuation 64
 
2.4%
Uppercase Letter 22
 
0.8%
Space Separator 10
 
0.4%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 276
 
11.2%
화 244
 
9.9%
실 242
 
9.8%
소 152
 
6.2%
주 110
 
4.5%
전 68
 
2.8%
유 67
 
2.7%
충 65
 
2.6%
공 49
 
2.0%
여 45
 
1.8%
Other values (230) 1142
46.4%
Decimal Number
ValueCountFrequency (%)
0 39
42.9%
1 16
17.6%
2 15
 
16.5%
3 8
 
8.8%
6 4
 
4.4%
4 4
 
4.4%
8 2
 
2.2%
5 2
 
2.2%
9 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 9
40.9%
K 2
 
9.1%
P 2
 
9.1%
E 2
 
9.1%
L 2
 
9.1%
G 2
 
9.1%
S 2
 
9.1%
I 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
· 63
98.4%
, 1
 
1.6%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2460
92.2%
Common 185
 
6.9%
Latin 22
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 276
 
11.2%
화 244
 
9.9%
실 242
 
9.8%
소 152
 
6.2%
주 110
 
4.5%
전 68
 
2.8%
유 67
 
2.7%
충 65
 
2.6%
공 49
 
2.0%
여 45
 
1.8%
Other values (230) 1142
46.4%
Common
ValueCountFrequency (%)
· 63
34.1%
0 39
21.1%
1 16
 
8.6%
2 15
 
8.1%
10
 
5.4%
) 9
 
4.9%
( 9
 
4.9%
3 8
 
4.3%
6 4
 
2.2%
4 4
 
2.2%
Other values (5) 8
 
4.3%
Latin
ValueCountFrequency (%)
C 9
40.9%
K 2
 
9.1%
P 2
 
9.1%
E 2
 
9.1%
L 2
 
9.1%
G 2
 
9.1%
S 2
 
9.1%
I 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2460
92.2%
ASCII 144
 
5.4%
None 63
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 276
 
11.2%
화 244
 
9.9%
실 242
 
9.8%
소 152
 
6.2%
주 110
 
4.5%
전 68
 
2.8%
유 67
 
2.7%
충 65
 
2.6%
공 49
 
2.0%
여 45
 
1.8%
Other values (230) 1142
46.4%
None
ValueCountFrequency (%)
· 63
100.0%
ASCII
ValueCountFrequency (%)
0 39
27.1%
1 16
11.1%
2 15
 
10.4%
10
 
6.9%
C 9
 
6.2%
) 9
 
6.2%
( 9
 
6.2%
3 8
 
5.6%
6 4
 
2.8%
4 4
 
2.8%
Other values (12) 21
14.6%

소재지도로명주소
Text

MISSING 

Distinct207
Distinct (%)85.5%
Missing13
Missing (%)5.1%
Memory size2.1 KiB
2023-12-12T08:44:00.695616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length27.917355
Min length17

Characters and Unicode

Total characters6756
Distinct characters238
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)76.4%

Sample

1st row경기도 여주시 가남읍 경충대로 1331, 주유소·충전소(충전소)
2nd row경기도 여주시 가남읍 경충대로 1350
3rd row경기도 여주시 가남읍 경충대로 1394
4th row경기도 여주시 가남읍 경충대로 1477
5th row경기도 여주시 가남읍 경충대로 1490
ValueCountFrequency (%)
여주시 243
 
17.0%
경기도 242
 
16.9%
능서면 24
 
1.7%
가남읍 24
 
1.7%
천송동 23
 
1.6%
상거동 23
 
1.6%
여주프리미엄아울렛 22
 
1.5%
360 22
 
1.5%
명품로 22
 
1.5%
여양로 22
 
1.5%
Other values (387) 765
53.4%
2023-12-12T08:44:01.096910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1190
 
17.6%
여 374
 
5.5%
주 352
 
5.2%
도 261
 
3.9%
경 254
 
3.8%
시 253
 
3.7%
기 245
 
3.6%
로 196
 
2.9%
, 176
 
2.6%
1 172
 
2.5%
Other values (228) 3283
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4264
63.1%
Space Separator 1190
 
17.6%
Decimal Number 811
 
12.0%
Other Punctuation 201
 
3.0%
Close Punctuation 122
 
1.8%
Open Punctuation 122
 
1.8%
Dash Punctuation 34
 
0.5%
Uppercase Letter 10
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 374
 
8.8%
주 352
 
8.3%
도 261
 
6.1%
경 254
 
6.0%
시 253
 
5.9%
기 245
 
5.7%
로 196
 
4.6%
동 164
 
3.8%
면 116
 
2.7%
소 74
 
1.7%
Other values (210) 1975
46.3%
Decimal Number
ValueCountFrequency (%)
1 172
21.2%
0 124
15.3%
2 88
10.9%
6 87
10.7%
3 81
10.0%
7 64
 
7.9%
5 53
 
6.5%
9 52
 
6.4%
8 47
 
5.8%
4 43
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 176
87.6%
· 25
 
12.4%
Space Separator
ValueCountFrequency (%)
1190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4264
63.1%
Common 2480
36.7%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 374
 
8.8%
주 352
 
8.3%
도 261
 
6.1%
경 254
 
6.0%
시 253
 
5.9%
기 245
 
5.7%
로 196
 
4.6%
동 164
 
3.8%
면 116
 
2.7%
소 74
 
1.7%
Other values (210) 1975
46.3%
Common
ValueCountFrequency (%)
1190
48.0%
, 176
 
7.1%
1 172
 
6.9%
0 124
 
5.0%
) 122
 
4.9%
( 122
 
4.9%
2 88
 
3.5%
6 87
 
3.5%
3 81
 
3.3%
7 64
 
2.6%
Other values (6) 254
 
10.2%
Latin
ValueCountFrequency (%)
C 10
83.3%
c 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4264
63.1%
ASCII 2467
36.5%
None 25
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1190
48.2%
, 176
 
7.1%
1 172
 
7.0%
0 124
 
5.0%
) 122
 
4.9%
( 122
 
4.9%
2 88
 
3.6%
6 87
 
3.5%
3 81
 
3.3%
7 64
 
2.6%
Other values (7) 241
 
9.8%
Hangul
ValueCountFrequency (%)
여 374
 
8.8%
주 352
 
8.3%
도 261
 
6.1%
경 254
 
6.0%
시 253
 
5.9%
기 245
 
5.7%
로 196
 
4.6%
동 164
 
3.8%
면 116
 
2.7%
소 74
 
1.7%
Other values (210) 1975
46.3%
None
ValueCountFrequency (%)
· 25
100.0%

소재지지번주소
Text

Distinct191
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T08:44:01.532226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.113725
Min length13

Characters and Unicode

Total characters4619
Distinct characters104
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

Unique168 ?
Unique (%)65.9%

Sample

1st row경기도 여주시 가남읍 태평리 205-4
2nd row경기도 여주시 가남읍 태평리 213-2
3rd row경기도 여주시 가남읍 태평리 268-35
4th row경기도 여주시 가남읍 신해리 640-1
5th row경기도 여주시 가남읍 신해리 617-3
ValueCountFrequency (%)
경기도 255
22.0%
여주시 255
22.0%
가남읍 24
 
2.1%
상거동 23
 
2.0%
천송동 23
 
2.0%
460 22
 
1.9%
능서면 21
 
1.8%
대신면 20
 
1.7%
하동 15
 
1.3%
강천면 15
 
1.3%
Other values (259) 487
42.0%
2023-12-12T08:44:02.057344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
905
19.6%
도 262
 
5.7%
주 256
 
5.5%
경 255
 
5.5%
여 255
 
5.5%
시 255
 
5.5%
기 255
 
5.5%
1 171
 
3.7%
- 166
 
3.6%
동 139
 
3.0%
Other values (94) 1700
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2658
57.5%
Space Separator 905
 
19.6%
Decimal Number 890
 
19.3%
Dash Punctuation 166
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 262
 
9.9%
주 256
 
9.6%
경 255
 
9.6%
여 255
 
9.6%
시 255
 
9.6%
기 255
 
9.6%
동 139
 
5.2%
리 127
 
4.8%
면 103
 
3.9%
천 55
 
2.1%
Other values (82) 696
26.2%
Decimal Number
ValueCountFrequency (%)
1 171
19.2%
2 108
12.1%
5 106
11.9%
4 106
11.9%
6 99
11.1%
3 97
10.9%
0 68
 
7.6%
7 56
 
6.3%
8 50
 
5.6%
9 29
 
3.3%
Space Separator
ValueCountFrequency (%)
905
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2658
57.5%
Common 1961
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 262
 
9.9%
주 256
 
9.6%
경 255
 
9.6%
여 255
 
9.6%
시 255
 
9.6%
기 255
 
9.6%
동 139
 
5.2%
리 127
 
4.8%
면 103
 
3.9%
천 55
 
2.1%
Other values (82) 696
26.2%
Common
ValueCountFrequency (%)
905
46.1%
1 171
 
8.7%
- 166
 
8.5%
2 108
 
5.5%
5 106
 
5.4%
4 106
 
5.4%
6 99
 
5.0%
3 97
 
4.9%
0 68
 
3.5%
7 56
 
2.9%
Other values (2) 79
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2658
57.5%
ASCII 1961
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
905
46.1%
1 171
 
8.7%
- 166
 
8.5%
2 108
 
5.5%
5 106
 
5.4%
4 106
 
5.4%
6 99
 
5.0%
3 97
 
4.9%
0 68
 
3.5%
7 56
 
2.9%
Other values (2) 79
 
4.0%
Hangul
ValueCountFrequency (%)
도 262
 
9.9%
주 256
 
9.6%
경 255
 
9.6%
여 255
 
9.6%
시 255
 
9.6%
기 255
 
9.6%
동 139
 
5.2%
리 127
 
4.8%
면 103
 
3.9%
천 55
 
2.1%
Other values (82) 696
26.2%

남녀공용화장실여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size387.0 B
False
251 
True
 
4
ValueCountFrequency (%)
False 251
98.4%
True 4
 
1.6%
2023-12-12T08:44:02.174892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2313725
Minimum0
Maximum12
Zeros5
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T08:44:02.261091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.54123
Coefficient of variation (CV)0.69070939
Kurtosis9.806027
Mean2.2313725
Median Absolute Deviation (MAD)1
Skewness2.3509989
Sum569
Variance2.3753898
MonotonicityNot monotonic
2023-12-12T08:44:02.370465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 87
34.1%
2 85
33.3%
3 41
16.1%
4 16
 
6.3%
5 14
 
5.5%
0 5
 
2.0%
6 3
 
1.2%
7 2
 
0.8%
11 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
0 5
 
2.0%
1 87
34.1%
2 85
33.3%
3 41
16.1%
4 16
 
6.3%
5 14
 
5.5%
6 3
 
1.2%
7 2
 
0.8%
11 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
12 1
 
0.4%
11 1
 
0.4%
7 2
 
0.8%
6 3
 
1.2%
5 14
 
5.5%
4 16
 
6.3%
3 41
16.1%
2 85
33.3%
1 87
34.1%
0 5
 
2.0%

남성용-소변기수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8509804
Minimum0
Maximum12
Zeros13
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T08:44:02.477508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q11
median2
Q34
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0585306
Coefficient of variation (CV)0.72204306
Kurtosis1.9376131
Mean2.8509804
Median Absolute Deviation (MAD)1
Skewness1.2910139
Sum727
Variance4.2375482
MonotonicityNot monotonic
2023-12-12T08:44:02.580261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 66
25.9%
1 57
22.4%
3 49
19.2%
4 24
 
9.4%
6 17
 
6.7%
5 15
 
5.9%
0 13
 
5.1%
8 5
 
2.0%
9 5
 
2.0%
7 3
 
1.2%
ValueCountFrequency (%)
0 13
 
5.1%
1 57
22.4%
2 66
25.9%
3 49
19.2%
4 24
 
9.4%
5 15
 
5.9%
6 17
 
6.7%
7 3
 
1.2%
8 5
 
2.0%
9 5
 
2.0%
ValueCountFrequency (%)
12 1
 
0.4%
9 5
 
2.0%
8 5
 
2.0%
7 3
 
1.2%
6 17
 
6.7%
5 15
 
5.9%
4 24
 
9.4%
3 49
19.2%
2 66
25.9%
1 57
22.4%

남성용-장애인용대변기수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
1
70 

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 (%)
0 185
72.5%
1 70
 
27.5%

Length

2023-12-12T08:44:02.689413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:02.788583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
72.5%
1 70
 
27.5%

남성용-장애인용소변기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
232 
1
 
23

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 (%)
0 232
91.0%
1 23
 
9.0%

Length

2023-12-12T08:44:02.878758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:02.978003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 232
91.0%
1 23
 
9.0%

남성용-어린이용대변기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
251 
1
 
4

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 (%)
0 251
98.4%
1 4
 
1.6%

Length

2023-12-12T08:44:03.070835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:03.154557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 251
98.4%
1 4
 
1.6%

남성용-어린이용소변기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
251 
2
 
2
1
 
2

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 (%)
0 251
98.4%
2 2
 
0.8%
1 2
 
0.8%

Length

2023-12-12T08:44:03.240628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:03.327765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 251
98.4%
2 2
 
0.8%
1 2
 
0.8%

여성용-대변기수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.654902
Minimum0
Maximum21
Zeros6
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T08:44:03.433450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35.5
95-th percentile8
Maximum21
Range21
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.7790211
Coefficient of variation (CV)0.76035448
Kurtosis5.8132572
Mean3.654902
Median Absolute Deviation (MAD)2
Skewness1.674601
Sum932
Variance7.7229582
MonotonicityNot monotonic
2023-12-12T08:44:03.546680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 56
22.0%
1 54
21.2%
3 34
13.3%
6 25
9.8%
4 21
 
8.2%
5 20
 
7.8%
7 17
 
6.7%
8 10
 
3.9%
9 7
 
2.7%
0 6
 
2.4%
Other values (4) 5
 
2.0%
ValueCountFrequency (%)
0 6
 
2.4%
1 54
21.2%
2 56
22.0%
3 34
13.3%
4 21
 
8.2%
5 20
 
7.8%
6 25
9.8%
7 17
 
6.7%
8 10
 
3.9%
9 7
 
2.7%
ValueCountFrequency (%)
21 1
 
0.4%
15 1
 
0.4%
11 2
 
0.8%
10 1
 
0.4%
9 7
 
2.7%
8 10
 
3.9%
7 17
6.7%
6 25
9.8%
5 20
7.8%
4 21
8.2%

여성용-장애인용대변기수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
188 
1
67 

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 (%)
0 188
73.7%
1 67
 
26.3%

Length

2023-12-12T08:44:03.662733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:03.748477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 188
73.7%
1 67
 
26.3%

여성용-어린이용대변기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
252 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 252
98.8%
1 2
 
0.8%
2 1
 
0.4%

Length

2023-12-12T08:44:03.841883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:03.926305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 252
98.8%
1 2
 
0.8%
2 1
 
0.4%

관리기관명
Categorical

Distinct25
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
민간
93 
경기도 여주시청
93 
민간(프리미엄아울렛)
22 
여주도시관리공단
18 
민간(마을공동체협의회)
 
3
Other values (20)
26 

Length

Max length16
Median length15
Mean length6.3294118
Min length2

Unique

Unique15 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
민간 93
36.5%
경기도 여주시청 93
36.5%
민간(프리미엄아울렛) 22
 
8.6%
여주도시관리공단 18
 
7.1%
민간(마을공동체협의회) 3
 
1.2%
통합물관리센터 3
 
1.2%
국가(문화재청) 2
 
0.8%
공공기관(여주경찰서) 2
 
0.8%
민간(주-신세계) 2
 
0.8%
민간(여주버스터미널) 2
 
0.8%
Other values (15) 15
 
5.9%

Length

2023-12-12T08:44:04.027024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 95
27.1%
여주시청 94
26.9%
민간 93
26.6%
민간(프리미엄아울렛 22
 
6.3%
여주도시관리공단 18
 
5.1%
민간(마을공동체협의회 3
 
0.9%
통합물관리센터 3
 
0.9%
민간(주-신세계 2
 
0.6%
민간(여주버스터미널 2
 
0.6%
공공기관(여주경찰서 2
 
0.6%
Other values (15) 16
 
4.6%

관리기관전화번호
Text

MISSING 

Distinct149
Distinct (%)66.2%
Missing30
Missing (%)11.8%
Memory size2.1 KiB
2023-12-12T08:44:04.255045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2700
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

Unique116 ?
Unique (%)51.6%

Sample

1st row031-881-0064
2nd row031-882-2711
3rd row031-883-7799
4th row031-884-5149
5th row031-884-6586
ValueCountFrequency (%)
031-880-1210 19
 
8.4%
031-887-3310 7
 
3.1%
031-887-2602 6
 
2.7%
031-887-3593 5
 
2.2%
031-887-3107 4
 
1.8%
031-880-4095 4
 
1.8%
031-880-4011 3
 
1.3%
031-880-4023 3
 
1.3%
031-887-3848 3
 
1.3%
031-887-2862 3
 
1.3%
Other values (139) 168
74.7%
2023-12-12T08:44:04.581886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 529
19.6%
- 450
16.7%
0 417
15.4%
3 367
13.6%
1 358
13.3%
7 156
 
5.8%
2 106
 
3.9%
5 97
 
3.6%
4 87
 
3.2%
9 69
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2250
83.3%
Dash Punctuation 450
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 529
23.5%
0 417
18.5%
3 367
16.3%
1 358
15.9%
7 156
 
6.9%
2 106
 
4.7%
5 97
 
4.3%
4 87
 
3.9%
9 69
 
3.1%
6 64
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2700
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 529
19.6%
- 450
16.7%
0 417
15.4%
3 367
13.6%
1 358
13.3%
7 156
 
5.8%
2 106
 
3.9%
5 97
 
3.6%
4 87
 
3.2%
9 69
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 529
19.6%
- 450
16.7%
0 417
15.4%
3 367
13.6%
1 358
13.3%
7 156
 
5.8%
2 106
 
3.9%
5 97
 
3.6%
4 87
 
3.2%
9 69
 
2.6%

개방시간
Categorical

Distinct23
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
09:00~21:00
48 
09:00~22:00
38 
09:00~18:00
36 
00:00~00:00
33 
08:00~18:00
25 
Other values (18)
75 

Length

Max length11
Median length11
Mean length10.976471
Min length10

Unique

Unique12 ?
Unique (%)4.7%

Sample

1st row0800~21:00
2nd row08:00~21:00
3rd row08:00~21:00
4th row08:00~21:00
5th row08:00~21:00

Common Values

ValueCountFrequency (%)
09:00~21:00 48
18.8%
09:00~22:00 38
14.9%
09:00~18:00 36
14.1%
00:00~00:00 33
12.9%
08:00~18:00 25
9.8%
08:00~21:00 21
8.2%
00:00~24:00 20
7.8%
06:00~20:00 16
 
6.3%
08:00~23:00 2
 
0.8%
06:00~23:00 2
 
0.8%
Other values (13) 14
 
5.5%

Length

2023-12-12T08:44:04.700434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00~21:00 48
18.8%
09:00~22:00 38
14.9%
09:00~18:00 36
14.1%
00:00~00:00 33
12.9%
08:00~18:00 25
9.8%
08:00~21:00 21
8.2%
00:00~24:00 20
7.8%
06:00~20:00 16
 
6.3%
08:00~23:00 2
 
0.8%
06:00~23:00 2
 
0.8%
Other values (13) 14
 
5.5%

위도
Real number (ℝ)

MISSING 

Distinct182
Distinct (%)74.3%
Missing10
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean37.292377
Minimum37.166066
Maximum37.413955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T08:44:04.802753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.166066
5-th percentile37.202719
Q137.253757
median37.295293
Q337.304935
95-th percentile37.395344
Maximum37.413955
Range0.2478895
Interquartile range (IQR)0.05117719

Descriptive statistics

Standard deviation0.054999775
Coefficient of variation (CV)0.0014748262
Kurtosis-0.082182565
Mean37.292377
Median Absolute Deviation (MAD)0.02526486
Skewness0.17915646
Sum9136.6324
Variance0.0030249753
MonotonicityNot monotonic
2023-12-12T08:44:05.154057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.24594805 22
 
8.6%
37.29972332 7
 
2.7%
37.30018537 6
 
2.4%
37.29303754 5
 
2.0%
37.29692248 5
 
2.0%
37.40206306 3
 
1.2%
37.30977679 3
 
1.2%
37.29709745 3
 
1.2%
37.28937518 3
 
1.2%
37.29821307 3
 
1.2%
Other values (172) 185
72.5%
(Missing) 10
 
3.9%
ValueCountFrequency (%)
37.16606581 1
0.4%
37.171764 1
0.4%
37.17545813 1
0.4%
37.17861862 1
0.4%
37.1808244 1
0.4%
37.18238602 1
0.4%
37.18389103 1
0.4%
37.19164662 1
0.4%
37.19487297 1
0.4%
37.19941039 1
0.4%
ValueCountFrequency (%)
37.41395531 1
 
0.4%
37.41193851 1
 
0.4%
37.40781105 1
 
0.4%
37.4069676 1
 
0.4%
37.40581885 1
 
0.4%
37.40562008 1
 
0.4%
37.40206306 3
1.2%
37.40120136 1
 
0.4%
37.39889307 1
 
0.4%
37.39695564 1
 
0.4%

경도
Real number (ℝ)

MISSING 

Distinct182
Distinct (%)74.3%
Missing10
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean127.61346
Minimum127.42785
Maximum127.76745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T08:44:05.267080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.42785
5-th percentile127.52024
Q1127.58086
median127.62523
Q3127.65117
95-th percentile127.69945
Maximum127.76745
Range0.3395955
Interquartile range (IQR)0.070313

Descriptive statistics

Standard deviation0.058541622
Coefficient of variation (CV)0.00045874176
Kurtosis1.1083852
Mean127.61346
Median Absolute Deviation (MAD)0.027123
Skewness-0.76426429
Sum31265.297
Variance0.0034271215
MonotonicityNot monotonic
2023-12-12T08:44:05.391824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.6123848 22
 
8.6%
127.6511727 7
 
2.7%
127.6523496 6
 
2.4%
127.6229022 5
 
2.0%
127.6252266 5
 
2.0%
127.442956 3
 
1.2%
127.6288704 3
 
1.2%
127.5838815 3
 
1.2%
127.6719507 3
 
1.2%
127.6366239 3
 
1.2%
Other values (172) 185
72.5%
(Missing) 10
 
3.9%
ValueCountFrequency (%)
127.4278518 1
 
0.4%
127.4309664 1
 
0.4%
127.4313931 1
 
0.4%
127.4383395 1
 
0.4%
127.442956 3
1.2%
127.4745601 1
 
0.4%
127.4769631 1
 
0.4%
127.4974593 1
 
0.4%
127.5014323 1
 
0.4%
127.5166938 1
 
0.4%
ValueCountFrequency (%)
127.7674473 1
0.4%
127.7434177 1
0.4%
127.727609 1
0.4%
127.7275071 1
0.4%
127.7265903 1
0.4%
127.7123001 1
0.4%
127.7110728 1
0.4%
127.7079365 1
0.4%
127.7052633 2
0.8%
127.7027166 1
0.4%

화장실소유구분
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
민간
125 
지방자치단체
116 
공공기관
 
11
국가
 
3

Length

Max length6
Median length2
Mean length3.9058824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 125
49.0%
지방자치단체 116
45.5%
공공기관 11
 
4.3%
국가 3
 
1.2%

Length

2023-12-12T08:44:05.516446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:05.609803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 125
49.0%
지방자치단체 116
45.5%
공공기관 11
 
4.3%
국가 3
 
1.2%

화장실설치장소유형
Categorical

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
관광·체육시설
82 
주유소·충전소
67 
공공용시설
62 
상업시설
40 
교통시설
 
3

Length

Max length7
Median length7
Mean length5.9882353
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row주유소·충전소
2nd row주유소·충전소
3rd row주유소·충전소
4th row주유소·충전소
5th row주유소·충전소

Common Values

ValueCountFrequency (%)
관광·체육시설 82
32.2%
주유소·충전소 67
26.3%
공공용시설 62
24.3%
상업시설 40
15.7%
교통시설 3
 
1.2%
기타 1
 
0.4%

Length

2023-12-12T08:44:05.705842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:05.797881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광·체육시설 82
32.2%
주유소·충전소 67
26.3%
공공용시설 62
24.3%
상업시설 40
15.7%
교통시설 3
 
1.2%
기타 1
 
0.4%

오물처리방식
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
수세식
253 
수거식
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수세식 253
99.2%
수거식 2
 
0.8%

Length

2023-12-12T08:44:05.890916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:05.977952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수세식 253
99.2%
수거식 2
 
0.8%

화장실정보공개여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size387.0 B
True
255 
ValueCountFrequency (%)
True 255
100.0%
2023-12-12T08:44:06.050504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상벨설치여부
Boolean

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size387.0 B
False
191 
True
64 
ValueCountFrequency (%)
False 191
74.9%
True 64
 
25.1%
2023-12-12T08:44:06.108800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상벨설치장소
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
191 
여자화장실
59 
장애인화장실+남자화장실+여자화장실
 
2
남자화장실
 
2
남자화장실+여자화장실
 
1

Length

Max length18
Median length4
Mean length4.3764706
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 191
74.9%
여자화장실 59
 
23.1%
장애인화장실+남자화장실+여자화장실 2
 
0.8%
남자화장실 2
 
0.8%
남자화장실+여자화장실 1
 
0.4%

Length

2023-12-12T08:44:06.201548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:06.300943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 191
74.9%
여자화장실 59
 
23.1%
장애인화장실+남자화장실+여자화장실 2
 
0.8%
남자화장실 2
 
0.8%
남자화장실+여자화장실 1
 
0.4%

화장실CCTV설치여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size387.0 B
True
252 
False
 
3
ValueCountFrequency (%)
True 252
98.8%
False 3
 
1.2%
2023-12-12T08:44:06.401057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대유무
Boolean

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size387.0 B
False
181 
True
74 
ValueCountFrequency (%)
False 181
71.0%
True 74
29.0%
2023-12-12T08:44:06.498744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대장소
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
181 
여자화장실
64 
남자화장실+여자화장실
 
8
남자화장실
 
2

Length

Max length11
Median length4
Mean length4.4784314
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 181
71.0%
여자화장실 64
 
25.1%
남자화장실+여자화장실 8
 
3.1%
남자화장실 2
 
0.8%

Length

2023-12-12T08:44:06.611320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:44:06.768416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 181
71.0%
여자화장실 64
 
25.1%
남자화장실+여자화장실 8
 
3.1%
남자화장실 2
 
0.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T08:44:06.885531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:44:06.978090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

화장실구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명관리기관전화번호개방시간위도경도화장실소유구분화장실설치장소유형오물처리방식화장실정보공개여부비상벨설치여부비상벨설치장소화장실CCTV설치여부기저귀교환대유무기저귀교환대장소데이터기준일자
0개방화장실가남LPG충전소경기도 여주시 가남읍 경충대로 1331, 주유소·충전소(충전소)경기도 여주시 가남읍 태평리 205-4N220000200민간031-881-00640800~21:0037.206569127.542211민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
1개방화장실태평주유소·충전소화장실경기도 여주시 가남읍 경충대로 1350경기도 여주시 가남읍 태평리 213-2N120000200민간031-882-271108:00~21:0037.208132127.542515민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
2개방화장실한길주유소·충전소화장실경기도 여주시 가남읍 경충대로 1394경기도 여주시 가남읍 태평리 268-35N220000200민간031-883-779908:00~21:0037.212095127.541993민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
3개방화장실서울주유소·충전소화장실경기도 여주시 가남읍 경충대로 1477경기도 여주시 가남읍 신해리 640-1N210000500민간031-884-514908:00~21:0037.215097127.534047민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
4개방화장실신해주유소·충전소화장실경기도 여주시 가남읍 경충대로 1490경기도 여주시 가남읍 신해리 617-3Y210000000민간031-884-658608:00~21:0037.21635127.533538민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
5개방화장실가남현대주유소·충전소경기도 여주시 가남읍 경충대로 1520경기도 여주시 가남읍 신해리 621-5N220000200민간031-881-606508:00~21:0037.218256127.531316민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
6개방화장실여주LPG충전소화장실경기도 여주시 가남읍 경충대로 900경기도 여주시 가남읍 은봉리 38-2N120000100민간031-884-711308:00~21:0037.175458127.568265민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
7개방화장실행복주유소·충전소화장실경기도 여주시 가남읍 경충대로 980경기도 여주시 가남읍 은봉리 151-1N120000200민간031-884-665508:00~21:0037.182386127.563596민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
8공중화장실가남체육공원화장실경기도 여주시 가남읍 대명산길 98경기도 여주시 가남읍 태평리 산 65-5N581000510경기도 여주시청031-887-384800:00~00:0037.201668127.534908지방자치단체관광·체육시설수세식YN<NA>YN<NA>2023-06-30
9개방화장실오산주유소·충전소화장실경기도 여주시 가남읍 양화로 150경기도 여주시 가남읍 오산리 465-1N110000100민간031-882-298908:00~21:0037.236383127.557656민간주유소·충전소수세식YN<NA>YN<NA>2023-06-30
화장실구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명관리기관전화번호개방시간위도경도화장실소유구분화장실설치장소유형오물처리방식화장실정보공개여부비상벨설치여부비상벨설치장소화장실CCTV설치여부기저귀교환대유무기저귀교환대장소데이터기준일자
245개방화장실빅토리아골프클럽경기도 여주시 가남읍 송삼로 191, 빅토리아레져경기도 여주시 가남읍 송림리 214N450000600민간<NA>06:00~20:0037.180824127.631002민간관광·체육시설수세식YN<NA>YN<NA>2023-06-30
246개방화장실아리지골프장화장실경기도 여주시 가남읍 아리지그린길 68, 골프클럽경기도 여주시 가남읍 양귀리 산 17-1N460000600민간031-887-567806:00~20:0037.211602127.60222민간관광·체육시설수세식YN<NA>YN<NA>2023-06-30
247개방화장실트리니티골프클럽화장실경기도 여주시 가남읍 가남로 320-21, 트리니티골프클럽경기도 여주시 가남읍 양귀리 산 115-2N560000600민간031-887-790006:00~20:0037.204956127.575529민간관광·체육시설수세식YN<NA>YN<NA>2023-06-30
248개방화장실여주도서관본관화장실2경기도 여주시 여양로 190-17, 여주도서관 1층 (천송동)경기도 여주시 천송동 561-3N330000600경기도 경기도 여주시청031-887-331009:00~22:0037.299723127.651173지방자치단체공공용시설수세식YY여자화장실YY여자화장실2023-06-30
249개방화장실페럼클럽골프장화장실경기도 여주시 점동면 점동로 181, 페럼클럽골프장경기도 여주시 점동면 사곡리 450N450000600민간<NA>06:00~20:0037.205515127.690712민간관광·체육시설수세식YN<NA>YN<NA>2023-06-30
250개방화장실헤슬리나인브릿지화장실경기도 여주시 명품1로 76, 헤슬리나이브릿지골프클럽 (연라동)경기도 여주시 연라동 4-5N560000900민간031-887-999906:00~20:0037.25807127.616562지방자치단체관광·체육시설수세식YN<NA>YN<NA>2023-06-30
251개방화장실세라지오골프클럽화장실경기도 여주시 여양로 530, 세라지오cc (오금동)경기도 여주시 오금동 422-3N560000600민간031-887-870006:00~20:0037.329026127.656092민간관광·체육시설수세식YN<NA>YN<NA>2023-06-30
252공중화장실태평4호어린이공원경기도 여주시 가남읍 태평1길 20경기도 여주시 가남읍 태평리 95-1N110000200경기도 여주시청031-887-260500:00~00:0037.204141127.548275지방자치단체공공용시설수세식YY여자화장실NN<NA>2023-06-30
253공중화장실18호 어린이공원 화장실<NA>경기도 여주시 교동 555N111100110경기도 여주시청031-887-260500:00~00:0037.278122127.632548지방자치단체공공용시설수세식YN<NA>NY남자화장실+여자화장실2023-06-30
254공중화장실황학산산림욕장화장실경기도 여주시 세종로 173-22(홍문동)경기도 여주시 홍문동 454-2N100000100경기도 여주시청031-887-234509:00~18:0037.281589127.639951지방자치단체관광·체육시설수거식YY여자화장실YN<NA>2023-06-30