Overview

Dataset statistics

Number of variables21
Number of observations242
Missing cells484
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.9 KiB
Average record size in memory181.5 B

Variable types

Categorical4
Text5
Boolean1
Numeric8
Unsupported2
DateTime1

Dataset

Description대구광역시_중구_공중화장실_20190614
Author대구광역시 중구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3057403&dataSetDetailId=30574032e74545e67bbe_201910011645&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
남녀공용화장실여부 is highly imbalanced (75.2%)Imbalance
남성용-어린이용대변기수 is highly imbalanced (83.2%)Imbalance
남성용-어린이용소변기수 is highly imbalanced (81.9%)Imbalance
여성용-어린이용대변기수 is highly imbalanced (71.6%)Imbalance
전화번호 has 242 (100.0%) missing valuesMissing
설치년도 has 242 (100.0%) missing valuesMissing
화장실명 has unique valuesUnique
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설치년도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성용-대변기수 has 7 (2.9%) zerosZeros
남성용-소변기수 has 7 (2.9%) zerosZeros
남성용-장애인용대변기수 has 119 (49.2%) zerosZeros
남성용-장애인용소변기수 has 218 (90.1%) zerosZeros
여성용-대변기수 has 14 (5.8%) zerosZeros
여성용-장애인용대변기수 has 121 (50.0%) zerosZeros

Reproduction

Analysis started2024-04-20 20:03:29.111072
Analysis finished2024-04-20 20:03:29.849834
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
개방화장실
151 
공중화장실
91 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개방화장실 151
62.4%
공중화장실 91
37.6%

Length

2024-04-21T05:03:30.033337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:03:30.322512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방화장실 151
62.4%
공중화장실 91
37.6%

화장실명
Text

UNIQUE 

Distinct242
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T05:03:31.214691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.1528926
Min length3

Characters and Unicode

Total characters1973
Distinct characters297
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

Unique242 ?
Unique (%)100.0%

Sample

1st row반월당역(1호선)
2nd row2.28기념 중앙공원
3rd row반월당역(2호선)
4th row갑을빌딩
5th row경구중학교
ValueCountFrequency (%)
주민센터 6
 
1.9%
행정복지센터 6
 
1.9%
경북대학교 4
 
1.2%
대구지점 4
 
1.2%
공중화장실 4
 
1.2%
대구사옥 2
 
0.6%
북성로 2
 
0.6%
빌딩 2
 
0.6%
약령시한의약박물관 2
 
0.6%
금복개발 2
 
0.6%
Other values (277) 287
89.4%
2024-04-21T05:03:32.648956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 89
 
4.5%
79
 
4.0%
구 62
 
3.1%
동 49
 
2.5%
빌 47
 
2.4%
딩 47
 
2.4%
지 34
 
1.7%
교 34
 
1.7%
학 33
 
1.7%
센 33
 
1.7%
Other values (287) 1466
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1743
88.3%
Space Separator 79
 
4.0%
Decimal Number 40
 
2.0%
Uppercase Letter 32
 
1.6%
Close Punctuation 30
 
1.5%
Open Punctuation 30
 
1.5%
Other Symbol 15
 
0.8%
Other Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 89
 
5.1%
구 62
 
3.6%
동 49
 
2.8%
빌 47
 
2.7%
딩 47
 
2.7%
지 34
 
2.0%
교 34
 
2.0%
학 33
 
1.9%
센 33
 
1.9%
성 32
 
1.8%
Other values (261) 1283
73.6%
Uppercase Letter
ValueCountFrequency (%)
S 6
18.8%
M 6
18.8%
A 4
12.5%
K 3
9.4%
C 3
9.4%
B 2
 
6.2%
L 2
 
6.2%
Y 1
 
3.1%
G 1
 
3.1%
H 1
 
3.1%
Other values (3) 3
9.4%
Decimal Number
ValueCountFrequency (%)
1 15
37.5%
2 11
27.5%
3 6
 
15.0%
9 4
 
10.0%
4 2
 
5.0%
8 1
 
2.5%
5 1
 
2.5%
Space Separator
ValueCountFrequency (%)
79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1758
89.1%
Common 183
 
9.3%
Latin 32
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 89
 
5.1%
구 62
 
3.5%
동 49
 
2.8%
빌 47
 
2.7%
딩 47
 
2.7%
지 34
 
1.9%
교 34
 
1.9%
학 33
 
1.9%
센 33
 
1.9%
성 32
 
1.8%
Other values (262) 1298
73.8%
Latin
ValueCountFrequency (%)
S 6
18.8%
M 6
18.8%
A 4
12.5%
K 3
9.4%
C 3
9.4%
B 2
 
6.2%
L 2
 
6.2%
Y 1
 
3.1%
G 1
 
3.1%
H 1
 
3.1%
Other values (3) 3
9.4%
Common
ValueCountFrequency (%)
79
43.2%
) 30
 
16.4%
( 30
 
16.4%
1 15
 
8.2%
2 11
 
6.0%
3 6
 
3.3%
9 4
 
2.2%
. 3
 
1.6%
4 2
 
1.1%
8 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1743
88.3%
ASCII 215
 
10.9%
None 15
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 89
 
5.1%
구 62
 
3.6%
동 49
 
2.8%
빌 47
 
2.7%
딩 47
 
2.7%
지 34
 
2.0%
교 34
 
2.0%
학 33
 
1.9%
센 33
 
1.9%
성 32
 
1.8%
Other values (261) 1283
73.6%
ASCII
ValueCountFrequency (%)
79
36.7%
) 30
 
14.0%
( 30
 
14.0%
1 15
 
7.0%
2 11
 
5.1%
3 6
 
2.8%
S 6
 
2.8%
M 6
 
2.8%
A 4
 
1.9%
9 4
 
1.9%
Other values (15) 24
 
11.2%
None
ValueCountFrequency (%)
㈜ 15
100.0%

소재지도로명주소
Text

Distinct233
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T05:03:33.867316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length17.657025
Min length14

Characters and Unicode

Total characters4273
Distinct characters61
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)93.8%

Sample

1st row대구광역시 중구 달구벌대로 지하2100
2nd row대구광역시 중구 동성로2길 80
3rd row대구광역시 중구 달구벌대로 지하2100
4th row대구광역시 중구 국채보상로 515
5th row대구광역시 중구 남산로 20
ValueCountFrequency (%)
대구광역시 242
24.9%
중구 242
24.9%
달구벌대로 39
 
4.0%
국채보상로 30
 
3.1%
중앙대로 18
 
1.9%
동덕로 14
 
1.4%
태평로 14
 
1.4%
경상감영길 11
 
1.1%
명덕로 8
 
0.8%
달성로 8
 
0.8%
Other values (242) 345
35.5%
2024-04-21T05:03:35.530660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
17.1%
구 531
12.4%
대 313
 
7.3%
중 261
 
6.1%
광 242
 
5.7%
역 242
 
5.7%
시 242
 
5.7%
로 227
 
5.3%
1 140
 
3.3%
2 130
 
3.0%
Other values (51) 1216
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2733
64.0%
Decimal Number 779
 
18.2%
Space Separator 729
 
17.1%
Dash Punctuation 19
 
0.4%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 531
19.4%
대 313
11.5%
중 261
9.5%
광 242
8.9%
역 242
8.9%
시 242
8.9%
로 227
8.3%
길 70
 
2.6%
달 63
 
2.3%
상 47
 
1.7%
Other values (36) 495
18.1%
Decimal Number
ValueCountFrequency (%)
1 140
18.0%
2 130
16.7%
5 81
10.4%
0 78
10.0%
4 65
8.3%
6 61
7.8%
7 60
7.7%
8 59
7.6%
3 54
 
6.9%
9 51
 
6.5%
Space Separator
ValueCountFrequency (%)
729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2733
64.0%
Common 1540
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 531
19.4%
대 313
11.5%
중 261
9.5%
광 242
8.9%
역 242
8.9%
시 242
8.9%
로 227
8.3%
길 70
 
2.6%
달 63
 
2.3%
상 47
 
1.7%
Other values (36) 495
18.1%
Common
ValueCountFrequency (%)
729
47.3%
1 140
 
9.1%
2 130
 
8.4%
5 81
 
5.3%
0 78
 
5.1%
4 65
 
4.2%
6 61
 
4.0%
7 60
 
3.9%
8 59
 
3.8%
3 54
 
3.5%
Other values (5) 83
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2733
64.0%
ASCII 1539
36.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
729
47.4%
1 140
 
9.1%
2 130
 
8.4%
5 81
 
5.3%
0 78
 
5.1%
4 65
 
4.2%
6 61
 
4.0%
7 60
 
3.9%
8 59
 
3.8%
3 54
 
3.5%
Other values (4) 82
 
5.3%
Hangul
ValueCountFrequency (%)
구 531
19.4%
대 313
11.5%
중 261
9.5%
광 242
8.9%
역 242
8.9%
시 242
8.9%
로 227
8.3%
길 70
 
2.6%
달 63
 
2.3%
상 47
 
1.7%
Other values (36) 495
18.1%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct231
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T05:03:36.818601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length17.85124
Min length14

Characters and Unicode

Total characters4320
Distinct characters62
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

Unique224 ?
Unique (%)92.6%

Sample

1st row대구광역시 중구 덕산동 88
2nd row대구광역시 중구 공평동 15
3rd row대구광역시 중구 덕산동 88
4th row대구광역시 중구 서문로2가 83
5th row대구광역시 중구 남산동 2380-5
ValueCountFrequency (%)
대구광역시 242
25.0%
중구 242
25.0%
남산동 39
 
4.0%
동인동2가 18
 
1.9%
대신동 17
 
1.8%
대봉동 15
 
1.5%
삼덕동2가 14
 
1.4%
봉산동 12
 
1.2%
덕산동 9
 
0.9%
동산동 9
 
0.9%
Other values (261) 352
36.3%
2024-04-21T05:03:38.346385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
16.8%
구 484
11.2%
대 276
 
6.4%
동 264
 
6.1%
광 242
 
5.6%
역 242
 
5.6%
시 242
 
5.6%
중 242
 
5.6%
1 235
 
5.4%
2 194
 
4.5%
Other values (52) 1172
27.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2494
57.7%
Decimal Number 921
 
21.3%
Space Separator 727
 
16.8%
Dash Punctuation 175
 
4.1%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 484
19.4%
대 276
11.1%
동 264
10.6%
광 242
9.7%
역 242
9.7%
시 242
9.7%
중 242
9.7%
가 80
 
3.2%
산 72
 
2.9%
남 52
 
2.1%
Other values (37) 298
11.9%
Decimal Number
ValueCountFrequency (%)
1 235
25.5%
2 194
21.1%
3 91
 
9.9%
5 75
 
8.1%
7 63
 
6.8%
4 62
 
6.7%
0 59
 
6.4%
8 51
 
5.5%
6 50
 
5.4%
9 41
 
4.5%
Space Separator
ValueCountFrequency (%)
727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2494
57.7%
Common 1826
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 484
19.4%
대 276
11.1%
동 264
10.6%
광 242
9.7%
역 242
9.7%
시 242
9.7%
중 242
9.7%
가 80
 
3.2%
산 72
 
2.9%
남 52
 
2.1%
Other values (37) 298
11.9%
Common
ValueCountFrequency (%)
727
39.8%
1 235
 
12.9%
2 194
 
10.6%
- 175
 
9.6%
3 91
 
5.0%
5 75
 
4.1%
7 63
 
3.5%
4 62
 
3.4%
0 59
 
3.2%
8 51
 
2.8%
Other values (5) 94
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2494
57.7%
ASCII 1826
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
39.8%
1 235
 
12.9%
2 194
 
10.6%
- 175
 
9.6%
3 91
 
5.0%
5 75
 
4.1%
7 63
 
3.5%
4 62
 
3.4%
0 59
 
3.2%
8 51
 
2.8%
Other values (5) 94
 
5.1%
Hangul
ValueCountFrequency (%)
구 484
19.4%
대 276
11.1%
동 264
10.6%
광 242
9.7%
역 242
9.7%
시 242
9.7%
중 242
9.7%
가 80
 
3.2%
산 72
 
2.9%
남 52
 
2.1%
Other values (37) 298
11.9%

남녀공용화장실여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size370.0 B
False
232 
True
 
10
ValueCountFrequency (%)
False 232
95.9%
True 10
 
4.1%
2024-04-21T05:03:38.535485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4876033
Minimum0
Maximum82
Zeros7
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:38.713367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q311.75
95-th percentile32
Maximum82
Range82
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation11.315627
Coefficient of variation (CV)1.3331946
Kurtosis8.6507346
Mean8.4876033
Median Absolute Deviation (MAD)2
Skewness2.4785365
Sum2054
Variance128.04341
MonotonicityNot monotonic
2024-04-21T05:03:38.938314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2 54
22.3%
1 53
21.9%
3 16
 
6.6%
5 10
 
4.1%
4 8
 
3.3%
8 8
 
3.3%
10 7
 
2.9%
0 7
 
2.9%
9 6
 
2.5%
15 6
 
2.5%
Other values (30) 67
27.7%
ValueCountFrequency (%)
0 7
 
2.9%
1 53
21.9%
2 54
22.3%
3 16
 
6.6%
4 8
 
3.3%
5 10
 
4.1%
6 5
 
2.1%
7 3
 
1.2%
8 8
 
3.3%
9 6
 
2.5%
ValueCountFrequency (%)
82 1
0.4%
51 1
0.4%
47 1
0.4%
45 1
0.4%
42 1
0.4%
41 1
0.4%
39 2
0.8%
36 1
0.4%
35 1
0.4%
34 1
0.4%

남성용-소변기수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.545455
Minimum0
Maximum94
Zeros7
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:39.358038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q316
95-th percentile46.95
Maximum94
Range94
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.319827
Coefficient of variation (CV)1.3269141
Kurtosis5.0875789
Mean11.545455
Median Absolute Deviation (MAD)3
Skewness2.1250366
Sum2794
Variance234.6971
MonotonicityNot monotonic
2024-04-21T05:03:39.594602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 44
18.2%
3 34
14.0%
1 34
14.0%
10 11
 
4.5%
4 11
 
4.5%
18 8
 
3.3%
0 7
 
2.9%
7 7
 
2.9%
6 6
 
2.5%
12 5
 
2.1%
Other values (44) 75
31.0%
ValueCountFrequency (%)
0 7
 
2.9%
1 34
14.0%
2 44
18.2%
3 34
14.0%
4 11
 
4.5%
5 4
 
1.7%
6 6
 
2.5%
7 7
 
2.9%
8 3
 
1.2%
9 3
 
1.2%
ValueCountFrequency (%)
94 1
 
0.4%
67 1
 
0.4%
66 1
 
0.4%
62 1
 
0.4%
61 1
 
0.4%
56 1
 
0.4%
53 1
 
0.4%
51 1
 
0.4%
50 1
 
0.4%
48 3
1.2%

남성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86363636
Minimum0
Maximum10
Zeros119
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:39.792243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3488892
Coefficient of variation (CV)1.5618717
Kurtosis15.001281
Mean0.86363636
Median Absolute Deviation (MAD)1
Skewness3.2270735
Sum209
Variance1.8195021
MonotonicityNot monotonic
2024-04-21T05:03:39.978105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 119
49.2%
1 85
35.1%
2 17
 
7.0%
3 11
 
4.5%
4 4
 
1.7%
5 2
 
0.8%
6 2
 
0.8%
9 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
0 119
49.2%
1 85
35.1%
2 17
 
7.0%
3 11
 
4.5%
4 4
 
1.7%
5 2
 
0.8%
6 2
 
0.8%
9 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
10 1
 
0.4%
9 1
 
0.4%
6 2
 
0.8%
5 2
 
0.8%
4 4
 
1.7%
3 11
 
4.5%
2 17
 
7.0%
1 85
35.1%
0 119
49.2%

남성용-장애인용소변기수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18181818
Minimum0
Maximum10
Zeros218
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:40.156148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.80969232
Coefficient of variation (CV)4.4533078
Kurtosis92.788956
Mean0.18181818
Median Absolute Deviation (MAD)0
Skewness8.4994779
Sum44
Variance0.65560166
MonotonicityNot monotonic
2024-04-21T05:03:40.338405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 218
90.1%
1 16
 
6.6%
2 4
 
1.7%
3 2
 
0.8%
10 1
 
0.4%
4 1
 
0.4%
ValueCountFrequency (%)
0 218
90.1%
1 16
 
6.6%
2 4
 
1.7%
3 2
 
0.8%
4 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
10 1
 
0.4%
4 1
 
0.4%
3 2
 
0.8%
2 4
 
1.7%
1 16
 
6.6%
0 218
90.1%

남성용-어린이용대변기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
230 
1
 
9
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 230
95.0%
1 9
 
3.7%
2 2
 
0.8%
4 1
 
0.4%

Length

2024-04-21T05:03:40.533767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:03:40.701339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 230
95.0%
1 9
 
3.7%
2 2
 
0.8%
4 1
 
0.4%

남성용-어린이용소변기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
231 
1
 
10
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 231
95.5%
1 10
 
4.1%
2 1
 
0.4%

Length

2024-04-21T05:03:40.874541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:03:41.039050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 231
95.5%
1 10
 
4.1%
2 1
 
0.4%

여성용-대변기수
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.570248
Minimum0
Maximum119
Zeros14
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:41.232121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q317
95-th percentile45.95
Maximum119
Range119
Interquartile range (IQR)15

Descriptive statistics

Standard deviation18.434059
Coefficient of variation (CV)1.4664834
Kurtosis10.624618
Mean12.570248
Median Absolute Deviation (MAD)4
Skewness2.9271594
Sum3042
Variance339.81455
MonotonicityNot monotonic
2024-04-21T05:03:41.481002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 37
15.3%
2 35
14.5%
3 20
 
8.3%
0 14
 
5.8%
5 11
 
4.5%
6 10
 
4.1%
4 10
 
4.1%
18 7
 
2.9%
8 7
 
2.9%
10 7
 
2.9%
Other values (43) 84
34.7%
ValueCountFrequency (%)
0 14
 
5.8%
1 37
15.3%
2 35
14.5%
3 20
8.3%
4 10
 
4.1%
5 11
 
4.5%
6 10
 
4.1%
7 4
 
1.7%
8 7
 
2.9%
9 3
 
1.2%
ValueCountFrequency (%)
119 1
0.4%
108 1
0.4%
95 1
0.4%
89 1
0.4%
86 1
0.4%
80 1
0.4%
62 1
0.4%
58 1
0.4%
56 1
0.4%
53 1
0.4%

여성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0578512
Minimum0
Maximum63
Zeros121
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:41.682945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile3
Maximum63
Range63
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.1920643
Coefficient of variation (CV)3.9628108
Kurtosis199.90577
Mean1.0578512
Median Absolute Deviation (MAD)0.5
Skewness13.578388
Sum256
Variance17.573403
MonotonicityNot monotonic
2024-04-21T05:03:41.861986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 121
50.0%
1 85
35.1%
2 18
 
7.4%
3 10
 
4.1%
4 3
 
1.2%
9 1
 
0.4%
10 1
 
0.4%
63 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
ValueCountFrequency (%)
0 121
50.0%
1 85
35.1%
2 18
 
7.4%
3 10
 
4.1%
4 3
 
1.2%
5 1
 
0.4%
6 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
63 1
 
0.4%
ValueCountFrequency (%)
63 1
 
0.4%
10 1
 
0.4%
9 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
4 3
 
1.2%
3 10
 
4.1%
2 18
 
7.4%
1 85
35.1%
0 121
50.0%

여성용-어린이용대변기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
214 
1
 
20
2
 
5
7
 
2
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row1
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 214
88.4%
1 20
 
8.3%
2 5
 
2.1%
7 2
 
0.8%
9 1
 
0.4%

Length

2024-04-21T05:03:42.068263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:03:42.239336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 214
88.4%
1 20
 
8.3%
2 5
 
2.1%
7 2
 
0.8%
9 1
 
0.4%

관리기관명
Text

Distinct100
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T05:03:42.932951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length5.8057851
Min length2

Characters and Unicode

Total characters1405
Distinct characters137
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

Unique88 ?
Unique (%)36.4%

Sample

1st row대구도시철도공사 1반월당역
2nd row대구시설공단 도심공원
3rd row대구도시철도공사 2반월당역
4th row개인
5th row경구중학교 행정실
ValueCountFrequency (%)
개인 121
35.8%
중구청 22
 
6.5%
행정실 18
 
5.3%
대구도시철도공사 10
 
3.0%
주민센터 7
 
2.1%
대구시설공단 6
 
1.8%
행정복지센터 6
 
1.8%
도시재생과 5
 
1.5%
관광자원과 5
 
1.5%
총무과 4
 
1.2%
Other values (111) 134
39.6%
2024-04-21T05:03:43.911300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 125
 
8.9%
개 123
 
8.8%
96
 
6.8%
구 70
 
5.0%
대 52
 
3.7%
중 37
 
2.6%
도 33
 
2.3%
시 33
 
2.3%
과 30
 
2.1%
지 29
 
2.1%
Other values (127) 777
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1278
91.0%
Space Separator 96
 
6.8%
Decimal Number 27
 
1.9%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 125
 
9.8%
개 123
 
9.6%
구 70
 
5.5%
대 52
 
4.1%
중 37
 
2.9%
도 33
 
2.6%
시 33
 
2.6%
과 30
 
2.3%
지 29
 
2.3%
동 29
 
2.3%
Other values (117) 717
56.1%
Decimal Number
ValueCountFrequency (%)
1 12
44.4%
2 6
22.2%
9 3
 
11.1%
3 3
 
11.1%
4 2
 
7.4%
5 1
 
3.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1278
91.0%
Common 127
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 125
 
9.8%
개 123
 
9.6%
구 70
 
5.5%
대 52
 
4.1%
중 37
 
2.9%
도 33
 
2.6%
시 33
 
2.6%
과 30
 
2.3%
지 29
 
2.3%
동 29
 
2.3%
Other values (117) 717
56.1%
Common
ValueCountFrequency (%)
96
75.6%
1 12
 
9.4%
2 6
 
4.7%
9 3
 
2.4%
3 3
 
2.4%
4 2
 
1.6%
, 2
 
1.6%
5 1
 
0.8%
( 1
 
0.8%
) 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1278
91.0%
ASCII 127
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 125
 
9.8%
개 123
 
9.6%
구 70
 
5.5%
대 52
 
4.1%
중 37
 
2.9%
도 33
 
2.6%
시 33
 
2.6%
과 30
 
2.3%
지 29
 
2.3%
동 29
 
2.3%
Other values (117) 717
56.1%
ASCII
ValueCountFrequency (%)
96
75.6%
1 12
 
9.4%
2 6
 
4.7%
9 3
 
2.4%
3 3
 
2.4%
4 2
 
1.6%
, 2
 
1.6%
5 1
 
0.8%
( 1
 
0.8%
) 1
 
0.8%

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

개방시간
Text

Distinct57
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T05:03:44.792527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length11
Mean length10.975207
Min length1

Characters and Unicode

Total characters2656
Distinct characters74
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

Unique38 ?
Unique (%)15.7%

Sample

1st row05:20~24:00
2nd row24시간
3rd row05:20~24:00
4th row09:00~18:30
5th row0
ValueCountFrequency (%)
09:00~18:00 100
33.2%
24시간 28
 
9.3%
0 27
 
9.0%
05:20~24:00 10
 
3.3%
09:00~16:00 8
 
2.7%
휴무 8
 
2.7%
평일 7
 
2.3%
제외 6
 
2.0%
06:00~24:00 4
 
1.3%
06:00~22:00 4
 
1.3%
Other values (75) 99
32.9%
2024-04-21T05:03:46.140898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 996
37.5%
: 396
 
14.9%
~ 206
 
7.8%
1 174
 
6.6%
9 145
 
5.5%
8 130
 
4.9%
2 113
 
4.3%
59
 
2.2%
4 50
 
1.9%
간 30
 
1.1%
Other values (64) 357
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1692
63.7%
Other Punctuation 446
 
16.8%
Other Letter 243
 
9.1%
Math Symbol 206
 
7.8%
Space Separator 59
 
2.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
간 30
 
12.3%
시 29
 
11.9%
일 25
 
10.3%
휴 20
 
8.2%
무 11
 
4.5%
월 8
 
3.3%
평 7
 
2.9%
외 7
 
2.9%
제 6
 
2.5%
층 6
 
2.5%
Other values (46) 94
38.7%
Decimal Number
ValueCountFrequency (%)
0 996
58.9%
1 174
 
10.3%
9 145
 
8.6%
8 130
 
7.7%
2 113
 
6.7%
4 50
 
3.0%
3 30
 
1.8%
6 23
 
1.4%
5 17
 
1.0%
7 14
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 396
88.8%
/ 29
 
6.5%
, 19
 
4.3%
. 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 206
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2413
90.9%
Hangul 243
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
간 30
 
12.3%
시 29
 
11.9%
일 25
 
10.3%
휴 20
 
8.2%
무 11
 
4.5%
월 8
 
3.3%
평 7
 
2.9%
외 7
 
2.9%
제 6
 
2.5%
층 6
 
2.5%
Other values (46) 94
38.7%
Common
ValueCountFrequency (%)
0 996
41.3%
: 396
 
16.4%
~ 206
 
8.5%
1 174
 
7.2%
9 145
 
6.0%
8 130
 
5.4%
2 113
 
4.7%
59
 
2.4%
4 50
 
2.1%
3 30
 
1.2%
Other values (8) 114
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2413
90.9%
Hangul 243
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 996
41.3%
: 396
 
16.4%
~ 206
 
8.5%
1 174
 
7.2%
9 145
 
6.0%
8 130
 
5.4%
2 113
 
4.7%
59
 
2.4%
4 50
 
2.1%
3 30
 
1.2%
Other values (8) 114
 
4.7%
Hangul
ValueCountFrequency (%)
간 30
 
12.3%
시 29
 
11.9%
일 25
 
10.3%
휴 20
 
8.2%
무 11
 
4.5%
월 8
 
3.3%
평 7
 
2.9%
외 7
 
2.9%
제 6
 
2.5%
층 6
 
2.5%
Other values (46) 94
38.7%

설치년도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing242
Missing (%)100.0%
Memory size2.3 KiB

위도
Real number (ℝ)

Distinct233
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.867492
Minimum35.855607
Maximum35.878384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:46.387270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.855607
5-th percentile35.85793
Q135.864177
median35.868334
Q335.870975
95-th percentile35.875233
Maximum35.878384
Range0.022777271
Interquartile range (IQR)0.0067985034

Descriptive statistics

Standard deviation0.0050456133
Coefficient of variation (CV)0.00014067372
Kurtosis-0.47320755
Mean35.867492
Median Absolute Deviation (MAD)0.0033610469
Skewness-0.37064323
Sum8679.933
Variance2.5458214 × 10-5
MonotonicityNot monotonic
2024-04-21T05:03:46.641840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8644206926 3
 
1.2%
35.8683340411 3
 
1.2%
35.869680782 3
 
1.2%
35.8576924748 2
 
0.8%
35.8625396677 2
 
0.8%
35.8696553217 2
 
0.8%
35.8703411413 1
 
0.4%
35.85709738 1
 
0.4%
35.86897372 1
 
0.4%
35.86076109 1
 
0.4%
Other values (223) 223
92.1%
ValueCountFrequency (%)
35.85560652 1
0.4%
35.8557152445 1
0.4%
35.85580554 1
0.4%
35.8566820106 1
0.4%
35.85709738 1
0.4%
35.85734341 1
0.4%
35.85738851 1
0.4%
35.8575390152 1
0.4%
35.85759705 1
0.4%
35.8576924748 2
0.8%
ValueCountFrequency (%)
35.8783837914 1
0.4%
35.8779043552 1
0.4%
35.87664454 1
0.4%
35.87635565 1
0.4%
35.8760646 1
0.4%
35.8759801432 1
0.4%
35.87597039 1
0.4%
35.87564391 1
0.4%
35.8755872467 1
0.4%
35.875506 1
0.4%

경도
Real number (ℝ)

Distinct233
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59333
Minimum128.57525
Maximum128.60962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T05:03:46.889513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.57525
5-th percentile128.58025
Q1128.58799
median128.59377
Q3128.60003
95-th percentile128.60601
Maximum128.60962
Range0.0343735
Interquartile range (IQR)0.012044414

Descriptive statistics

Standard deviation0.008207365
Coefficient of variation (CV)6.382419 × 10-5
Kurtosis-0.78772244
Mean128.59333
Median Absolute Deviation (MAD)0.0060446
Skewness-0.10590399
Sum31119.585
Variance6.7360839 × 10-5
MonotonicityNot monotonic
2024-04-21T05:03:47.160623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5933402684 3
 
1.2%
128.6034535606 3
 
1.2%
128.6035559847 3
 
1.2%
128.5834110841 2
 
0.8%
128.600617929 2
 
0.8%
128.5837421064 2
 
0.8%
128.5942797 1
 
0.4%
128.5925677 1
 
0.4%
128.6093663 1
 
0.4%
128.5935141 1
 
0.4%
Other values (223) 223
92.1%
ValueCountFrequency (%)
128.5752468 1
0.4%
128.5754508 1
0.4%
128.5759201177 1
0.4%
128.5763426 1
0.4%
128.5783277 1
0.4%
128.5784315 1
0.4%
128.5793617 1
0.4%
128.5794226 1
0.4%
128.5795331 1
0.4%
128.5797877033 1
0.4%
ValueCountFrequency (%)
128.6096203 1
0.4%
128.6095066499 1
0.4%
128.6093663 1
0.4%
128.6091367 1
0.4%
128.6090451 1
0.4%
128.6089412 1
0.4%
128.6078430869 1
0.4%
128.6072136 1
0.4%
128.6072027 1
0.4%
128.606415 1
0.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2019-06-14 00:00:00
Maximum2019-06-14 00:00:00
2024-04-21T05:03:47.431298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:03:47.644287image/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-어린이용대변기수관리기관명전화번호개방시간설치년도위도경도데이터기준일자
0개방화장실반월당역(1호선)대구광역시 중구 달구벌대로 지하2100대구광역시 중구 덕산동 88N691000710대구도시철도공사 1반월당역<NA>05:20~24:00<NA>35.864421128.593342019-06-14
1개방화장실2.28기념 중앙공원대구광역시 중구 동성로2길 80대구광역시 중구 공평동 15N371011611대구시설공단 도심공원<NA>24시간<NA>35.869214128.5971832019-06-14
2개방화장실반월당역(2호선)대구광역시 중구 달구벌대로 지하2100대구광역시 중구 덕산동 88N6820001422대구도시철도공사 2반월당역<NA>05:20~24:00<NA>35.864421128.593342019-06-14
3개방화장실갑을빌딩대구광역시 중구 국채보상로 515대구광역시 중구 서문로2가 83N430000200개인<NA>09:00~18:30<NA>35.87041128.5869862019-06-14
4공중화장실경구중학교대구광역시 중구 남산로 20대구광역시 중구 남산동 2380-5N20251000810경구중학교 행정실<NA>0<NA>35.857692128.5834112019-06-14
5개방화장실경대병원역(2호선)대구광역시 중구 달구벌대로 지하2190대구광역시 중구 삼덕동2가 271N51010001511대구도시철도공사 경대병원역<NA>05:20~24:00<NA>35.863199128.6028012019-06-14
6공중화장실경북공업고등학교대구광역시 중구 남산로 20대구광역시 중구 남산동 2380-11N216620001720경북공업고등학교 행정실<NA>0<NA>35.857692128.5834112019-06-14
7개방화장실케이케이(주) 유성주유소대구광역시 중구 동덕로 6대구광역시 중구 대봉동 186-1N110000100개인<NA>07:00~22:00<NA>35.855607128.6041382019-06-14
8개방화장실케이케이(주) 중앙주유소대구광역시 중구 국채보상로 642대구광역시 중구 동인동2가 25-1N011000010개인<NA>07:00~23:00<NA>35.86954128.6006662019-06-14
9공중화장실경북대학 사범대학 부설중학교대구광역시 중구 달구벌대로 2178대구광역시 중구 대봉동 60-18N152940001330부설중학교 행정실<NA>0<NA>35.86254128.6006182019-06-14
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치년도위도경도데이터기준일자
232개방화장실북성로 역사전통문화마을 기술예술융합소대구광역시 중구 서성로16길 92-1대구광역시 중구 대안동 3-1N110000100중구청 문화개발과<NA>평일 09:00~18:00<NA>35.873303128.5926442019-06-14
233공중화장실메디컬스타빌딩대구광역시 중구 달구벌대로 1999대구광역시 중구 동산동 616N661000811개인<NA>09:00~18:00<NA>35.865447128.5827092019-06-14
234공중화장실메디컬빌딩대구광역시 중구 달구벌대로 2167대구광역시 중구 삼덕동2가 187-22N341010511개인<NA>09:00~18:00<NA>35.863997128.6005712019-06-14
235공중화장실누네안과병원(밝은빛하이눈사옥)대구광역시 중구 달구벌대로 2179대구광역시 중구 삼덕동2가 192-4N101310102311개인<NA>09:00~18:00<NA>35.863751128.6019262019-06-14
236개방화장실국채보상운동기념공원 공영주차장대구광역시 중구 국채보상로 670대구광역시 중구 동인동2가 42N220000200대구시설공단<NA>09:00~18:00<NA>35.868334128.6034542019-06-14
237공중화장실교동공영주차장대구광역시 중구 교동2길 11대구광역시 중구 교동 51-1N111000110중구청 교통과<NA>24시간<NA>35.873725128.5983952019-06-14
238공중화장실김광석길 공영주차장대구광역시 중구 신천대로 677(대봉동)대구광역시 중구 대봉동 31-30N221000210중구청 교통과<NA>08:00~22:00<NA>35.859301128.6064152019-06-14
239개방화장실중앙로관광버스전용주차장대구광역시 중구 중앙대로 456-3대구광역시 중구 화전동 2-5N111000210중구청 교통과<NA>08:00~24:00<NA>35.873895128.594932019-06-14
240공중화장실반월당클래시아 2차대구광역시 중구 명륜로23길 106대구광역시 중구 봉산동 50N231010510개인<NA>09:00~20:00<NA>35.864728128.594872019-06-14
241개방화장실약령시서문공영주차장대구광역시 중구 남성로 33대구광역시 중구 남성로 61-2Y001100000대구시설공단<NA>09:00~18:00<NA>35.867723128.5904892019-06-14