Overview

Dataset statistics

Number of variables21
Number of observations369
Missing cells32
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.6 KiB
Average record size in memory179.3 B

Variable types

Categorical3
Text5
Boolean1
Numeric10
DateTime2

Dataset

Description대구광역시_수성구_공중화장실_20190910
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15009643&dataSetDetailId=150096431baa536248172&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
남녀공용화장실여부 is highly imbalanced (82.0%)Imbalance
남성용-어린이용소변기수 is highly imbalanced (92.7%)Imbalance
소재지도로명주소 has 28 (7.6%) missing valuesMissing
전화번호 has 4 (1.1%) missing valuesMissing
남성용-대변기수 has 8 (2.2%) zerosZeros
남성용-소변기수 has 12 (3.3%) zerosZeros
남성용-장애인용대변기수 has 151 (40.9%) zerosZeros
남성용-장애인용소변기수 has 266 (72.1%) zerosZeros
남성용-어린이용대변기수 has 347 (94.0%) zerosZeros
여성용-대변기수 has 44 (11.9%) zerosZeros
여성용-장애인용대변기수 has 206 (55.8%) zerosZeros
여성용-어린이용대변기수 has 340 (92.1%) zerosZeros

Reproduction

Analysis started2024-04-21 11:29:20.123285
Analysis finished2024-04-21 11:29:20.966467
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
공중화장실
201 
개방화장실
168 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공중화장실 201
54.5%
개방화장실 168
45.5%

Length

2024-04-21T20:29:21.115004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:29:21.431626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공중화장실 201
54.5%
개방화장실 168
45.5%

화장실명
Text

Distinct367
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-21T20:29:22.197757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.704607
Min length3

Characters and Unicode

Total characters2474
Distinct characters282
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique365 ?
Unique (%)98.9%

Sample

1st row경신고등학교
2nd row경신중학교
3rd row대구경동초등학교
4th row정화중학교
5th row정화여자고등학교
ValueCountFrequency (%)
대구스타디움 3
 
0.8%
동원빌딩 2
 
0.5%
수성주유소 2
 
0.5%
청림초등학교 1
 
0.3%
대구은행시지점 1
 
0.3%
경신고등학교 1
 
0.3%
대구스타디움(수변건물 1
 
0.3%
대구스타디움(종합안내소 1
 
0.3%
대구스타디움(제2주차장 1
 
0.3%
대구스타디움(제1주차장 1
 
0.3%
Other values (368) 368
96.3%
2024-04-21T20:29:23.490808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 83
 
3.4%
주 80
 
3.2%
학 80
 
3.2%
동 79
 
3.2%
대 74
 
3.0%
구 69
 
2.8%
소 61
 
2.5%
성 60
 
2.4%
유 59
 
2.4%
원 54
 
2.2%
Other values (272) 1775
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2320
93.8%
Decimal Number 68
 
2.7%
Uppercase Letter 24
 
1.0%
Open Punctuation 18
 
0.7%
Close Punctuation 17
 
0.7%
Space Separator 13
 
0.5%
Other Symbol 7
 
0.3%
Other Punctuation 5
 
0.2%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 83
 
3.6%
주 80
 
3.4%
학 80
 
3.4%
동 79
 
3.4%
대 74
 
3.2%
구 69
 
3.0%
소 61
 
2.6%
성 60
 
2.6%
유 59
 
2.5%
원 54
 
2.3%
Other values (244) 1621
69.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
12.5%
K 3
12.5%
C 3
12.5%
T 2
8.3%
G 2
8.3%
L 2
8.3%
M 2
8.3%
S 1
 
4.2%
D 1
 
4.2%
F 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
1 32
47.1%
2 15
22.1%
9 9
 
13.2%
3 7
 
10.3%
4 3
 
4.4%
6 1
 
1.5%
5 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2327
94.1%
Common 122
 
4.9%
Latin 25
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 83
 
3.6%
주 80
 
3.4%
학 80
 
3.4%
동 79
 
3.4%
대 74
 
3.2%
구 69
 
3.0%
소 61
 
2.6%
성 60
 
2.6%
유 59
 
2.5%
원 54
 
2.3%
Other values (245) 1628
70.0%
Latin
ValueCountFrequency (%)
B 3
12.0%
K 3
12.0%
C 3
12.0%
T 2
 
8.0%
G 2
 
8.0%
L 2
 
8.0%
M 2
 
8.0%
S 1
 
4.0%
D 1
 
4.0%
F 1
 
4.0%
Other values (5) 5
20.0%
Common
ValueCountFrequency (%)
1 32
26.2%
( 18
14.8%
) 17
13.9%
2 15
12.3%
13
10.7%
9 9
 
7.4%
3 7
 
5.7%
. 5
 
4.1%
4 3
 
2.5%
6 1
 
0.8%
Other values (2) 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2320
93.8%
ASCII 147
 
5.9%
None 7
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 83
 
3.6%
주 80
 
3.4%
학 80
 
3.4%
동 79
 
3.4%
대 74
 
3.2%
구 69
 
3.0%
소 61
 
2.6%
성 60
 
2.6%
유 59
 
2.5%
원 54
 
2.3%
Other values (244) 1621
69.9%
ASCII
ValueCountFrequency (%)
1 32
21.8%
( 18
12.2%
) 17
11.6%
2 15
10.2%
13
8.8%
9 9
 
6.1%
3 7
 
4.8%
. 5
 
3.4%
4 3
 
2.0%
B 3
 
2.0%
Other values (17) 25
17.0%
None
ValueCountFrequency (%)
㈜ 7
100.0%

소재지도로명주소
Text

MISSING 

Distinct317
Distinct (%)93.0%
Missing28
Missing (%)7.6%
Memory size3.0 KiB
2024-04-21T20:29:24.588575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length25.589443
Min length21

Characters and Unicode

Total characters8726
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)88.6%

Sample

1st row대구광역시 수성구 달구벌대로504길 34, (범어동)
2nd row대구광역시 수성구 달구벌대로504길 34, (범어동)
3rd row대구광역시 수성구 청호로76길 12, (범어동)
4th row대구광역시 수성구 청호로84길 123, (범어동)
5th row대구광역시 수성구 청호로84길 123, (범어동)
ValueCountFrequency (%)
대구광역시 341
19.9%
수성구 341
19.9%
범어동 69
 
4.0%
달구벌대로 55
 
3.2%
만촌동 51
 
3.0%
동대구로 41
 
2.4%
지산동 34
 
2.0%
황금동 27
 
1.6%
신매동 22
 
1.3%
범물동 20
 
1.2%
Other values (365) 715
41.7%
2024-04-21T20:29:26.134329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1375
 
15.8%
구 798
 
9.1%
대 470
 
5.4%
동 409
 
4.7%
수 401
 
4.6%
성 381
 
4.4%
시 364
 
4.2%
, 350
 
4.0%
광 341
 
3.9%
역 341
 
3.9%
Other values (97) 3496
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5156
59.1%
Space Separator 1375
 
15.8%
Decimal Number 1144
 
13.1%
Other Punctuation 350
 
4.0%
Close Punctuation 341
 
3.9%
Open Punctuation 341
 
3.9%
Dash Punctuation 17
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 798
15.5%
대 470
 
9.1%
동 409
 
7.9%
수 401
 
7.8%
성 381
 
7.4%
시 364
 
7.1%
광 341
 
6.6%
역 341
 
6.6%
로 335
 
6.5%
범 125
 
2.4%
Other values (80) 1191
23.1%
Decimal Number
ValueCountFrequency (%)
1 203
17.7%
2 185
16.2%
3 131
11.5%
4 126
11.0%
0 101
8.8%
5 97
8.5%
6 97
8.5%
8 72
 
6.3%
9 67
 
5.9%
7 65
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
1375
100.0%
Other Punctuation
ValueCountFrequency (%)
, 350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5156
59.1%
Common 3568
40.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 798
15.5%
대 470
 
9.1%
동 409
 
7.9%
수 401
 
7.8%
성 381
 
7.4%
시 364
 
7.1%
광 341
 
6.6%
역 341
 
6.6%
로 335
 
6.5%
범 125
 
2.4%
Other values (80) 1191
23.1%
Common
ValueCountFrequency (%)
1375
38.5%
, 350
 
9.8%
) 341
 
9.6%
( 341
 
9.6%
1 203
 
5.7%
2 185
 
5.2%
3 131
 
3.7%
4 126
 
3.5%
0 101
 
2.8%
5 97
 
2.7%
Other values (5) 318
 
8.9%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5156
59.1%
ASCII 3570
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1375
38.5%
, 350
 
9.8%
) 341
 
9.6%
( 341
 
9.6%
1 203
 
5.7%
2 185
 
5.2%
3 131
 
3.7%
4 126
 
3.5%
0 101
 
2.8%
5 97
 
2.7%
Other values (7) 320
 
9.0%
Hangul
ValueCountFrequency (%)
구 798
15.5%
대 470
 
9.1%
동 409
 
7.9%
수 401
 
7.8%
성 381
 
7.4%
시 364
 
7.1%
광 341
 
6.6%
역 341
 
6.6%
로 335
 
6.5%
범 125
 
2.4%
Other values (80) 1191
23.1%

소재지지번주소
Text

Distinct347
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-21T20:29:27.580014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length18.783198
Min length14

Characters and Unicode

Total characters6931
Distinct characters72
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)90.5%

Sample

1st row대구광역시 수성구 범어동 100-5
2nd row대구광역시 수성구 범어동 100-5
3rd row대구광역시 수성구 범어동 89
4th row대구광역시 수성구 범어동 산105-1
5th row대구광역시 수성구 범어동 산105-1
ValueCountFrequency (%)
대구광역시 369
24.8%
수성구 369
24.8%
범어동 71
 
4.8%
만촌동 51
 
3.4%
지산동 39
 
2.6%
황금동 29
 
2.0%
범물동 24
 
1.6%
신매동 23
 
1.5%
두산동 15
 
1.0%
중동 14
 
0.9%
Other values (366) 482
32.4%
2024-04-21T20:29:29.449281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1117
16.1%
구 738
 
10.6%
수 406
 
5.9%
성 403
 
5.8%
대 382
 
5.5%
시 380
 
5.5%
광 369
 
5.3%
역 369
 
5.3%
동 369
 
5.3%
1 322
 
4.6%
Other values (62) 2076
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4106
59.2%
Decimal Number 1455
 
21.0%
Space Separator 1117
 
16.1%
Dash Punctuation 249
 
3.6%
Uppercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 738
18.0%
수 406
9.9%
성 403
9.8%
대 382
9.3%
시 380
9.3%
광 369
9.0%
역 369
9.0%
동 369
9.0%
범 97
 
2.4%
어 72
 
1.8%
Other values (46) 521
12.7%
Decimal Number
ValueCountFrequency (%)
1 322
22.1%
2 169
11.6%
3 146
10.0%
4 144
9.9%
5 131
9.0%
6 129
8.9%
7 127
 
8.7%
0 109
 
7.5%
8 92
 
6.3%
9 86
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
1117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4106
59.2%
Common 2823
40.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 738
18.0%
수 406
9.9%
성 403
9.8%
대 382
9.3%
시 380
9.3%
광 369
9.0%
역 369
9.0%
동 369
9.0%
범 97
 
2.4%
어 72
 
1.8%
Other values (46) 521
12.7%
Common
ValueCountFrequency (%)
1117
39.6%
1 322
 
11.4%
- 249
 
8.8%
2 169
 
6.0%
3 146
 
5.2%
4 144
 
5.1%
5 131
 
4.6%
6 129
 
4.6%
7 127
 
4.5%
0 109
 
3.9%
Other values (4) 180
 
6.4%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4106
59.2%
ASCII 2825
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1117
39.5%
1 322
 
11.4%
- 249
 
8.8%
2 169
 
6.0%
3 146
 
5.2%
4 144
 
5.1%
5 131
 
4.6%
6 129
 
4.6%
7 127
 
4.5%
0 109
 
3.9%
Other values (6) 182
 
6.4%
Hangul
ValueCountFrequency (%)
구 738
18.0%
수 406
9.9%
성 403
9.8%
대 382
9.3%
시 380
9.3%
광 369
9.0%
역 369
9.0%
동 369
9.0%
범 97
 
2.4%
어 72
 
1.8%
Other values (46) 521
12.7%

남녀공용화장실여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size497.0 B
False
359 
True
 
10
ValueCountFrequency (%)
False 359
97.3%
True 10
 
2.7%
2024-04-21T20:29:29.799931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.314363
Minimum0
Maximum174
Zeros8
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:30.135867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q317
95-th percentile43.6
Maximum174
Range174
Interquartile range (IQR)15

Descriptive statistics

Standard deviation19.955489
Coefficient of variation (CV)1.4987941
Kurtosis18.391473
Mean13.314363
Median Absolute Deviation (MAD)4
Skewness3.5503228
Sum4913
Variance398.22156
MonotonicityNot monotonic
2024-04-21T20:29:30.575415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 79
21.4%
2 49
 
13.3%
3 30
 
8.1%
4 15
 
4.1%
12 14
 
3.8%
6 11
 
3.0%
15 10
 
2.7%
8 9
 
2.4%
14 8
 
2.2%
10 8
 
2.2%
Other values (50) 136
36.9%
ValueCountFrequency (%)
0 8
 
2.2%
1 79
21.4%
2 49
13.3%
3 30
 
8.1%
4 15
 
4.1%
5 7
 
1.9%
6 11
 
3.0%
7 4
 
1.1%
8 9
 
2.4%
9 6
 
1.6%
ValueCountFrequency (%)
174 1
0.3%
131 1
0.3%
121 1
0.3%
107 1
0.3%
93 1
0.3%
85 2
0.5%
70 2
0.5%
66 1
0.3%
65 1
0.3%
64 1
0.3%

남성용-소변기수
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.95122
Minimum0
Maximum543
Zeros12
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:30.999306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median7
Q327
95-th percentile74.6
Maximum543
Range543
Interquartile range (IQR)25

Descriptive statistics

Standard deviation39.054349
Coefficient of variation (CV)1.8640609
Kurtosis88.101597
Mean20.95122
Median Absolute Deviation (MAD)6
Skewness7.3986309
Sum7731
Variance1525.2422
MonotonicityNot monotonic
2024-04-21T20:29:31.430959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 73
19.8%
1 49
 
13.3%
3 16
 
4.3%
4 14
 
3.8%
0 12
 
3.3%
15 10
 
2.7%
5 9
 
2.4%
8 9
 
2.4%
6 8
 
2.2%
10 8
 
2.2%
Other values (65) 161
43.6%
ValueCountFrequency (%)
0 12
 
3.3%
1 49
13.3%
2 73
19.8%
3 16
 
4.3%
4 14
 
3.8%
5 9
 
2.4%
6 8
 
2.2%
7 5
 
1.4%
8 9
 
2.4%
9 6
 
1.6%
ValueCountFrequency (%)
543 1
0.3%
202 1
0.3%
158 1
0.3%
140 2
0.5%
132 1
0.3%
128 1
0.3%
112 1
0.3%
94 1
0.3%
91 1
0.3%
88 1
0.3%

남성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6395664
Minimum0
Maximum41
Zeros151
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:31.797105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum41
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1815801
Coefficient of variation (CV)1.9405009
Kurtosis71.330792
Mean1.6395664
Median Absolute Deviation (MAD)1
Skewness6.8432858
Sum605
Variance10.122452
MonotonicityNot monotonic
2024-04-21T20:29:32.361917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 151
40.9%
1 108
29.3%
2 39
 
10.6%
4 20
 
5.4%
3 15
 
4.1%
5 14
 
3.8%
6 10
 
2.7%
8 3
 
0.8%
10 3
 
0.8%
12 2
 
0.5%
Other values (4) 4
 
1.1%
ValueCountFrequency (%)
0 151
40.9%
1 108
29.3%
2 39
 
10.6%
3 15
 
4.1%
4 20
 
5.4%
5 14
 
3.8%
6 10
 
2.7%
8 3
 
0.8%
9 1
 
0.3%
10 3
 
0.8%
ValueCountFrequency (%)
41 1
 
0.3%
25 1
 
0.3%
12 2
 
0.5%
11 1
 
0.3%
10 3
 
0.8%
9 1
 
0.3%
8 3
 
0.8%
6 10
2.7%
5 14
3.8%
4 20
5.4%

남성용-장애인용소변기수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65582656
Minimum0
Maximum41
Zeros266
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:32.695180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum41
Range41
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5384489
Coefficient of variation (CV)3.8706101
Kurtosis176.66713
Mean0.65582656
Median Absolute Deviation (MAD)0
Skewness11.813451
Sum242
Variance6.4437228
MonotonicityNot monotonic
2024-04-21T20:29:33.044662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 266
72.1%
1 69
 
18.7%
2 12
 
3.3%
3 8
 
2.2%
4 5
 
1.4%
5 3
 
0.8%
8 2
 
0.5%
10 1
 
0.3%
14 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
0 266
72.1%
1 69
 
18.7%
2 12
 
3.3%
3 8
 
2.2%
4 5
 
1.4%
5 3
 
0.8%
8 2
 
0.5%
9 1
 
0.3%
10 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
41 1
 
0.3%
14 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 2
 
0.5%
5 3
 
0.8%
4 5
 
1.4%
3 8
 
2.2%
2 12
 
3.3%
1 69
18.7%

남성용-어린이용대변기수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10840108
Minimum0
Maximum5
Zeros347
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:33.374107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.52040942
Coefficient of variation (CV)4.8007769
Kurtosis43.314968
Mean0.10840108
Median Absolute Deviation (MAD)0
Skewness6.1862802
Sum40
Variance0.27082597
MonotonicityNot monotonic
2024-04-21T20:29:33.732059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 347
94.0%
1 13
 
3.5%
2 4
 
1.1%
3 2
 
0.5%
4 2
 
0.5%
5 1
 
0.3%
ValueCountFrequency (%)
0 347
94.0%
1 13
 
3.5%
2 4
 
1.1%
3 2
 
0.5%
4 2
 
0.5%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 2
 
0.5%
3 2
 
0.5%
2 4
 
1.1%
1 13
 
3.5%
0 347
94.0%

남성용-어린이용소변기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
362 
2
 
3
1
 
2
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 362
98.1%
2 3
 
0.8%
1 2
 
0.5%
3 1
 
0.3%
5 1
 
0.3%

Length

2024-04-21T20:29:34.118266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:29:34.449972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 362
98.1%
2 3
 
0.8%
1 2
 
0.5%
3 1
 
0.3%
5 1
 
0.3%

여성용-대변기수
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.661247
Minimum0
Maximum245
Zeros44
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:34.819260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q322
95-th percentile62
Maximum245
Range245
Interquartile range (IQR)21

Descriptive statistics

Standard deviation27.070593
Coefficient of variation (CV)1.532768
Kurtosis18.522511
Mean17.661247
Median Absolute Deviation (MAD)6
Skewness3.3748693
Sum6517
Variance732.817
MonotonicityNot monotonic
2024-04-21T20:29:35.259389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 58
 
15.7%
0 44
 
11.9%
2 31
 
8.4%
5 16
 
4.3%
3 14
 
3.8%
8 14
 
3.8%
4 11
 
3.0%
12 9
 
2.4%
11 9
 
2.4%
6 8
 
2.2%
Other values (65) 155
42.0%
ValueCountFrequency (%)
0 44
11.9%
1 58
15.7%
2 31
8.4%
3 14
 
3.8%
4 11
 
3.0%
5 16
 
4.3%
6 8
 
2.2%
7 7
 
1.9%
8 14
 
3.8%
9 4
 
1.1%
ValueCountFrequency (%)
245 1
0.3%
191 1
0.3%
122 1
0.3%
120 1
0.3%
107 1
0.3%
104 1
0.3%
97 1
0.3%
89 1
0.3%
86 1
0.3%
84 2
0.5%

여성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1056911
Minimum0
Maximum36
Zeros206
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:35.624337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum36
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.6369439
Coefficient of variation (CV)2.3848831
Kurtosis85.951459
Mean1.1056911
Median Absolute Deviation (MAD)0
Skewness7.5030357
Sum408
Variance6.953473
MonotonicityNot monotonic
2024-04-21T20:29:36.000571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 206
55.8%
1 100
27.1%
2 17
 
4.6%
4 12
 
3.3%
3 10
 
2.7%
5 9
 
2.4%
6 7
 
1.9%
9 2
 
0.5%
8 1
 
0.3%
14 1
 
0.3%
Other values (4) 4
 
1.1%
ValueCountFrequency (%)
0 206
55.8%
1 100
27.1%
2 17
 
4.6%
3 10
 
2.7%
4 12
 
3.3%
5 9
 
2.4%
6 7
 
1.9%
8 1
 
0.3%
9 2
 
0.5%
10 1
 
0.3%
ValueCountFrequency (%)
36 1
 
0.3%
14 1
 
0.3%
12 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
9 2
 
0.5%
8 1
 
0.3%
6 7
1.9%
5 9
2.4%
4 12
3.3%

여성용-어린이용대변기수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1300813
Minimum0
Maximum6
Zeros340
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:36.346009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.55598546
Coefficient of variation (CV)4.2741382
Kurtosis48.657245
Mean0.1300813
Median Absolute Deviation (MAD)0
Skewness6.2443655
Sum48
Variance0.30911983
MonotonicityNot monotonic
2024-04-21T20:29:36.689993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 340
92.1%
1 19
 
5.1%
2 6
 
1.6%
4 2
 
0.5%
3 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
0 340
92.1%
1 19
 
5.1%
2 6
 
1.6%
3 1
 
0.3%
4 2
 
0.5%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
4 2
 
0.5%
3 1
 
0.3%
2 6
 
1.6%
1 19
 
5.1%
0 340
92.1%

관리기관명
Text

Distinct349
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-21T20:29:37.653549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.9647696
Min length3

Characters and Unicode

Total characters2570
Distinct characters286
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique345 ?
Unique (%)93.5%

Sample

1st row경신고등학교
2nd row경신중학교
3rd row대구경동초등학교
4th row정화중학교
5th row정화여자고등학교
ValueCountFrequency (%)
대구도시철도공사 18
 
4.7%
대구스타디움 3
 
0.8%
만촌지구대 2
 
0.5%
수성주유소 2
 
0.5%
육상진흥센터 2
 
0.5%
대구지역본부 1
 
0.3%
근토빌딩 1
 
0.3%
노변초등학교 1
 
0.3%
화남주유소 1
 
0.3%
간이화장실(3 1
 
0.3%
Other values (352) 352
91.7%
2024-04-21T20:29:39.093247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 92
 
3.6%
구 86
 
3.3%
교 83
 
3.2%
학 80
 
3.1%
주 79
 
3.1%
동 77
 
3.0%
소 64
 
2.5%
유 59
 
2.3%
성 57
 
2.2%
원 53
 
2.1%
Other values (276) 1840
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2412
93.9%
Decimal Number 67
 
2.6%
Uppercase Letter 24
 
0.9%
Open Punctuation 17
 
0.7%
Close Punctuation 16
 
0.6%
Space Separator 15
 
0.6%
Other Symbol 12
 
0.5%
Other Punctuation 5
 
0.2%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 92
 
3.8%
구 86
 
3.6%
교 83
 
3.4%
학 80
 
3.3%
주 79
 
3.3%
동 77
 
3.2%
소 64
 
2.7%
유 59
 
2.4%
성 57
 
2.4%
원 53
 
2.2%
Other values (249) 1682
69.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
12.5%
M 3
12.5%
K 3
12.5%
B 3
12.5%
G 2
8.3%
L 2
8.3%
T 2
8.3%
S 1
 
4.2%
W 1
 
4.2%
H 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
1 31
46.3%
2 15
22.4%
9 9
 
13.4%
3 7
 
10.4%
4 3
 
4.5%
5 1
 
1.5%
6 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2424
94.3%
Common 121
 
4.7%
Latin 25
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 92
 
3.8%
구 86
 
3.5%
교 83
 
3.4%
학 80
 
3.3%
주 79
 
3.3%
동 77
 
3.2%
소 64
 
2.6%
유 59
 
2.4%
성 57
 
2.4%
원 53
 
2.2%
Other values (250) 1694
69.9%
Latin
ValueCountFrequency (%)
C 3
12.0%
M 3
12.0%
K 3
12.0%
B 3
12.0%
G 2
8.0%
L 2
8.0%
T 2
8.0%
S 1
 
4.0%
W 1
 
4.0%
H 1
 
4.0%
Other values (4) 4
16.0%
Common
ValueCountFrequency (%)
1 31
25.6%
( 17
14.0%
) 16
13.2%
2 15
12.4%
15
12.4%
9 9
 
7.4%
3 7
 
5.8%
. 5
 
4.1%
4 3
 
2.5%
5 1
 
0.8%
Other values (2) 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2412
93.9%
ASCII 146
 
5.7%
None 12
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 92
 
3.8%
구 86
 
3.6%
교 83
 
3.4%
학 80
 
3.3%
주 79
 
3.3%
동 77
 
3.2%
소 64
 
2.7%
유 59
 
2.4%
성 57
 
2.4%
원 53
 
2.2%
Other values (249) 1682
69.7%
ASCII
ValueCountFrequency (%)
1 31
21.2%
( 17
11.6%
) 16
11.0%
2 15
10.3%
15
10.3%
9 9
 
6.2%
3 7
 
4.8%
. 5
 
3.4%
C 3
 
2.1%
4 3
 
2.1%
Other values (16) 25
17.1%
None
ValueCountFrequency (%)
㈜ 12
100.0%

전화번호
Text

MISSING 

Distinct329
Distinct (%)90.1%
Missing4
Missing (%)1.1%
Memory size3.0 KiB
2024-04-21T20:29:40.098974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.00274
Min length12

Characters and Unicode

Total characters4381
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

Unique323 ?
Unique (%)88.5%

Sample

1st row053-760-0077
2nd row053-760-0113
3rd row053-232-2976
4th row053-740-1876
5th row053-740-1700
ValueCountFrequency (%)
053-666-2835 20
 
5.5%
053-602-2042 10
 
2.7%
053-640-7611 6
 
1.6%
053-790-4013 2
 
0.5%
053-640-7581 2
 
0.5%
053-666-2183 2
 
0.5%
053-232-8040 1
 
0.3%
053-791-9211 1
 
0.3%
053-790-9488 1
 
0.3%
053-232-7500 1
 
0.3%
Other values (319) 319
87.4%
2024-04-21T20:29:41.493899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 730
16.7%
0 716
16.3%
3 608
13.9%
5 565
12.9%
6 377
8.6%
2 320
7.3%
7 310
7.1%
1 270
 
6.2%
8 172
 
3.9%
4 172
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3651
83.3%
Dash Punctuation 730
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 716
19.6%
3 608
16.7%
5 565
15.5%
6 377
10.3%
2 320
8.8%
7 310
8.5%
1 270
 
7.4%
8 172
 
4.7%
4 172
 
4.7%
9 141
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 730
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4381
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 730
16.7%
0 716
16.3%
3 608
13.9%
5 565
12.9%
6 377
8.6%
2 320
7.3%
7 310
7.1%
1 270
 
6.2%
8 172
 
3.9%
4 172
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 730
16.7%
0 716
16.3%
3 608
13.9%
5 565
12.9%
6 377
8.6%
2 320
7.3%
7 310
7.1%
1 270
 
6.2%
8 172
 
3.9%
4 172
 
3.9%

개방시간
Categorical

Distinct45
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
09:00~18:00
188 
24시간
57 
06:00~23:00
27 
05:30~24:00
19 
06:00~24:00
 
11
Other values (40)
67 

Length

Max length11
Median length11
Mean length9.9186992
Min length4

Unique

Unique26 ?
Unique (%)7.0%

Sample

1st row09:00~18:00
2nd row07:00~20:00
3rd row09:00~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
09:00~18:00 188
50.9%
24시간 57
 
15.4%
06:00~23:00 27
 
7.3%
05:30~24:00 19
 
5.1%
06:00~24:00 11
 
3.0%
08:30~16:30 7
 
1.9%
08:00~18:00 6
 
1.6%
05:00~24:00 3
 
0.8%
08:00~22:00 3
 
0.8%
09:00~24:00 3
 
0.8%
Other values (35) 45
 
12.2%

Length

2024-04-21T20:29:41.937536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00~18:00 188
50.9%
24시간 57
 
15.4%
06:00~23:00 27
 
7.3%
05:30~24:00 19
 
5.1%
06:00~24:00 11
 
3.0%
08:30~16:30 7
 
1.9%
08:00~18:00 6
 
1.6%
05:00~24:00 3
 
0.8%
08:00~22:00 3
 
0.8%
09:00~24:00 3
 
0.8%
Other values (35) 45
 
12.2%

설치년도
Date

Distinct156
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1943-04-01 00:00:00
Maximum2018-12-01 00:00:00
2024-04-21T20:29:42.316571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:29:42.725090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

Distinct345
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.844572
Minimum35.799109
Maximum35.877849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:43.130891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.799109
5-th percentile35.817837
Q135.831661
median35.844021
Q335.858414
95-th percentile35.871207
Maximum35.877849
Range0.07873991
Interquartile range (IQR)0.02675272

Descriptive statistics

Standard deviation0.016507417
Coefficient of variation (CV)0.00046052767
Kurtosis-0.79470416
Mean35.844572
Median Absolute Deviation (MAD)0.0136368
Skewness-0.11460364
Sum13226.647
Variance0.00027249483
MonotonicityNot monotonic
2024-04-21T20:29:43.590391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83166106 11
 
3.0%
35.8554457 2
 
0.5%
35.8575118 2
 
0.5%
35.84031802 2
 
0.5%
35.8732591 2
 
0.5%
35.85426618 2
 
0.5%
35.8621645 2
 
0.5%
35.8254155 2
 
0.5%
35.8540405 2
 
0.5%
35.8522319 2
 
0.5%
Other values (335) 340
92.1%
ValueCountFrequency (%)
35.79910877 1
0.3%
35.8084712 1
0.3%
35.80860481 1
0.3%
35.80871978 1
0.3%
35.8093429 1
0.3%
35.8097087 1
0.3%
35.8105161 1
0.3%
35.81288063 1
0.3%
35.81442027 1
0.3%
35.8149608 1
0.3%
ValueCountFrequency (%)
35.87784868 1
0.3%
35.8771932 1
0.3%
35.8757781 1
0.3%
35.8753021 1
0.3%
35.87504366 1
0.3%
35.8750053 1
0.3%
35.87485823 1
0.3%
35.874778 1
0.3%
35.87410505 1
0.3%
35.8740809 1
0.3%

경도
Real number (ℝ)

Distinct345
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64297
Minimum128.60706
Maximum128.71906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T20:29:44.017588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.60706
5-th percentile128.61074
Q1128.62363
median128.63272
Q3128.64849
95-th percentile128.70737
Maximum128.71906
Range0.1120011
Interquartile range (IQR)0.0248554

Descriptive statistics

Standard deviation0.029900058
Coefficient of variation (CV)0.00023242668
Kurtosis0.2194107
Mean128.64297
Median Absolute Deviation (MAD)0.0135682
Skewness1.1776944
Sum47469.254
Variance0.00089401345
MonotonicityNot monotonic
2024-04-21T20:29:44.451762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6873219 11
 
3.0%
128.6376616 2
 
0.5%
128.6092622 2
 
0.5%
128.7052185 2
 
0.5%
128.6577318 2
 
0.5%
128.6160181 2
 
0.5%
128.6284864 2
 
0.5%
128.7066296 2
 
0.5%
128.6449075 2
 
0.5%
128.6559927 2
 
0.5%
Other values (335) 340
92.1%
ValueCountFrequency (%)
128.6070623 1
0.3%
128.6071308 1
0.3%
128.6071854 1
0.3%
128.6072045 1
0.3%
128.6074045 1
0.3%
128.6076568 1
0.3%
128.6077869 1
0.3%
128.6083932 1
0.3%
128.6086555 1
0.3%
128.6092622 2
0.5%
ValueCountFrequency (%)
128.7190634 1
0.3%
128.7168679 1
0.3%
128.716717 1
0.3%
128.7166032 1
0.3%
128.7164645 1
0.3%
128.7153269 1
0.3%
128.7128266 1
0.3%
128.7124594 1
0.3%
128.7124229 1
0.3%
128.7106321 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2019-09-10 00:00:00
Maximum2019-09-10 00:00:00
2024-04-21T20:29:44.796885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:29:45.096547image/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
0공중화장실경신고등학교대구광역시 수성구 달구벌대로504길 34, (범어동)대구광역시 수성구 범어동 100-5N651402100310경신고등학교053-760-007709:00~18:002018-0435.855446128.6376622019-09-10
1공중화장실경신중학교대구광역시 수성구 달구벌대로504길 34, (범어동)대구광역시 수성구 범어동 100-5N47831100610경신중학교053-760-011307:00~20:001992-1135.855446128.6376622019-09-10
2공중화장실대구경동초등학교대구광역시 수성구 청호로76길 12, (범어동)대구광역시 수성구 범어동 89N4370610007310대구경동초등학교053-232-297609:00~18:001983-0135.852172128.6394422019-09-10
3공중화장실정화중학교대구광역시 수성구 청호로84길 123, (범어동)대구광역시 수성구 범어동 산105-1N366422008320정화중학교053-740-187609:00~18:002018-0335.850249128.641162019-09-10
4공중화장실정화여자고등학교대구광역시 수성구 청호로84길 123, (범어동)대구광역시 수성구 범어동 산105-1N857932009720정화여자고등학교053-740-170009:00~18:002018-0435.850249128.641162019-09-10
5공중화장실대공원시장대구광역시 수성구 범어로19길 11, (범어동, 대공원시장)대구광역시 수성구 범어동 204-1(대공원시장)N130000100대공원시장053-755-744109:00~18:001984-1035.857689128.6351672019-09-10
6공중화장실부광빌딩대구광역시 수성구 달구벌대로 2500, (범어동)대구광역시 수성구 범어동 205-2N111000001000부광빌딩053-767-032009:00~24:001992-1135.858415128.6361242019-09-10
7공중화장실대아빌딩대구광역시 수성구 달구벌대로 2532, (범어동)대구광역시 수성구 범어동 212-1N292900001900대아빌딩053-765-520009:00~18:001992-1035.858414128.6398222019-09-10
8공중화장실골드타워대구광역시 수성구 달구벌대로 2486, (범어동)대구광역시 수성구 범어동 198-2N131320002010골드타워053-741-840009:00~18:002018-1035.858424128.6345032019-09-10
9공중화장실KB손해보험대구광역시 수성구 달구벌대로 2397, (범어동)대구광역시 수성구 범어동 41-3N708310008910KB손해보험053-669-720009:00~18:002018-1235.859647128.6248182019-09-10
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치년도위도경도데이터기준일자
359공중화장실로터리시장대구광역시 수성구 상록로2길 77, (범어동)대구광역시 수성구 범어동 29-1N320000300로터리시장<NA>09:00~18:001972-0135.862746128.6250642019-09-10
360공중화장실삼성화재㈜범어사옥대구광역시 수성구 동대구로 401, (범어동)대구광역시 수성구 범어동 2-1N666520004410삼성화재㈜범어사옥053-607-758109:00~18:002018-0435.866156128.6262422019-09-10
361공중화장실범어빌딩대구광역시 수성구 동대구로 355, (범어동)대구광역시 수성구 범어동 33-2N101000001000범어빌딩053-742-468009:00~18:001996-0635.862355128.626112019-09-10
362공중화장실KT범어사옥대구광역시 수성구 동대구로 375, (범어동)대구광역시 수성구 범어동 13-7N9900003210KT범어사옥053-752-291709:00~18:001992-1235.863902128.6262472019-09-10
363공중화장실건설회관대구광역시 수성구 국채보상로 860, (범어동)대구광역시 수성구 범어동 1-4N16160000800건설회관053-755-508609:00~18:001980-1235.866849128.6249622019-09-10
364공중화장실정암빌딩대구광역시 수성구 동대구로 341, (범어동)대구광역시 수성구 범어동 43-8N213010001910㈜문앤선대구지사053-753-047406:00~22:001994-0935.860929128.6262019-09-10
365공중화장실법무빌딩대구광역시 수성구 동대구로 351, (범어동)대구광역시 수성구 범어동 33-10N141400001400법무빌딩053-214-011407:30~20:002018-0935.86183128.6261192019-09-10
366공중화장실참저축은행대구광역시 수성구 동대구로 395, (범어동)대구광역시 수성구 범어동 2-5N152340002430참저축은행053-720-735408:00~23:002018-0135.865627128.6262382019-09-10
367공중화장실새마을금고중앙회 대구지역본부대구광역시 수성구 국채보상로 866, (범어동)대구광역시 수성구 범어동 1-5N131300001300새마을금고중앙회 대구지역본부053-210-301408:00~18:001991-0935.866829128.6252282019-09-10
368공중화장실가든주유소대구광역시 수성구 청호로 417, (범어동)대구광역시 수성구 범어동 97-11N110000100가든주유소053-741-515206:00~23:001992-1035.854499128.6390712019-09-10