Overview

Dataset statistics

Number of variables28
Number of observations350
Missing cells790
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.1 KiB
Average record size in memory237.4 B

Variable types

Categorical9
Text5
Boolean2
Numeric9
Unsupported2
DateTime1

Dataset

Description대구광역시_동구_공중화장실
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15012892&dataSetDetailId=150128922b7e85f5158f2&provdMethod=FILE

Alerts

남성용-장애인용소변기수 has constant value ""Constant
남성용-어린이용소변기수 has constant value ""Constant
화장실입구cctv설치유무 has constant value ""Constant
기저귀교환대장소 has constant value ""Constant
데이터기준일자 has constant value ""Constant
오물처리방식 is highly imbalanced (89.2%)Imbalance
비상벨 설치유형 is highly imbalanced (63.7%)Imbalance
소재지도로명주소 has 41 (11.7%) missing valuesMissing
전화번호 has 42 (12.0%) missing valuesMissing
설치년월 has 350 (100.0%) missing valuesMissing
리모델링년월 has 350 (100.0%) missing valuesMissing
설치년월 is an unsupported type, check if it needs cleaning or further analysisUnsupported
리모델링년월 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성용-대변기수 has 59 (16.9%) zerosZeros
남성용-소변기수 has 55 (15.7%) zerosZeros
남성용-장애인용대변기수 has 183 (52.3%) zerosZeros
남성용-어린이용대변기수 has 317 (90.6%) zerosZeros
여성용-대변기수 has 78 (22.3%) zerosZeros
여성용-장애인용대변기수 has 210 (60.0%) zerosZeros
여성용-어린이용대변기수 has 322 (92.0%) zerosZeros

Reproduction

Analysis started2024-04-19 05:36:35.179886
Analysis finished2024-04-19 05:36:35.706142
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
개방화장실
223 
공중화장실
127 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개방화장실 223
63.7%
공중화장실 127
36.3%

Length

2024-04-19T14:36:35.766081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:35.858142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방화장실 223
63.7%
공중화장실 127
36.3%

화장실명
Text

Distinct348
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-19T14:36:36.058420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.7942857
Min length3

Characters and Unicode

Total characters2728
Distinct characters310
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)98.9%

Sample

1st row동부경찰서
2nd row대구출입국관리사무소
3rd row동촌우체국
4th row도평동 행정복지센터
5th row대구방짜유기박물관
ValueCountFrequency (%)
행정복지센터 20
 
4.5%
화장실 14
 
3.2%
율하체육공원 5
 
1.1%
대구선 4
 
0.9%
금호강 4
 
0.9%
하천변 3
 
0.7%
아양공원 3
 
0.7%
옻골마을 3
 
0.7%
상류 2
 
0.5%
불로동고분군 2
 
0.5%
Other values (371) 381
86.4%
2024-04-19T14:36:36.440300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 108
 
4.0%
공 93
 
3.4%
91
 
3.3%
대 86
 
3.2%
구 82
 
3.0%
원 76
 
2.8%
소 72
 
2.6%
유 66
 
2.4%
주 64
 
2.3%
지 60
 
2.2%
Other values (300) 1930
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2479
90.9%
Space Separator 91
 
3.3%
Decimal Number 55
 
2.0%
Uppercase Letter 43
 
1.6%
Other Symbol 20
 
0.7%
Close Punctuation 16
 
0.6%
Open Punctuation 16
 
0.6%
Other Punctuation 6
 
0.2%
Lowercase Letter 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 108
 
4.4%
공 93
 
3.8%
대 86
 
3.5%
구 82
 
3.3%
원 76
 
3.1%
소 72
 
2.9%
유 66
 
2.7%
주 64
 
2.6%
지 60
 
2.4%
교 54
 
2.2%
Other values (270) 1718
69.3%
Uppercase Letter
ValueCountFrequency (%)
G 10
23.3%
L 8
18.6%
K 6
14.0%
P 6
14.0%
T 4
 
9.3%
S 3
 
7.0%
C 2
 
4.7%
D 1
 
2.3%
I 1
 
2.3%
H 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 17
30.9%
2 13
23.6%
3 7
12.7%
4 6
 
10.9%
5 4
 
7.3%
7 2
 
3.6%
8 2
 
3.6%
0 2
 
3.6%
6 1
 
1.8%
9 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
, 2
33.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2499
91.6%
Common 184
 
6.7%
Latin 45
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 108
 
4.3%
공 93
 
3.7%
대 86
 
3.4%
구 82
 
3.3%
원 76
 
3.0%
소 72
 
2.9%
유 66
 
2.6%
주 64
 
2.6%
지 60
 
2.4%
교 54
 
2.2%
Other values (271) 1738
69.5%
Common
ValueCountFrequency (%)
91
49.5%
1 17
 
9.2%
) 16
 
8.7%
( 16
 
8.7%
2 13
 
7.1%
3 7
 
3.8%
4 6
 
3.3%
5 4
 
2.2%
. 3
 
1.6%
, 2
 
1.1%
Other values (6) 9
 
4.9%
Latin
ValueCountFrequency (%)
G 10
22.2%
L 8
17.8%
K 6
13.3%
P 6
13.3%
T 4
 
8.9%
S 3
 
6.7%
C 2
 
4.4%
D 1
 
2.2%
I 1
 
2.2%
e 1
 
2.2%
Other values (3) 3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2479
90.9%
ASCII 228
 
8.4%
None 20
 
0.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 108
 
4.4%
공 93
 
3.8%
대 86
 
3.5%
구 82
 
3.3%
원 76
 
3.1%
소 72
 
2.9%
유 66
 
2.7%
주 64
 
2.6%
지 60
 
2.4%
교 54
 
2.2%
Other values (270) 1718
69.3%
ASCII
ValueCountFrequency (%)
91
39.9%
1 17
 
7.5%
) 16
 
7.0%
( 16
 
7.0%
2 13
 
5.7%
G 10
 
4.4%
L 8
 
3.5%
3 7
 
3.1%
K 6
 
2.6%
P 6
 
2.6%
Other values (18) 38
16.7%
None
ValueCountFrequency (%)
㈜ 20
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct293
Distinct (%)94.8%
Missing41
Missing (%)11.7%
Memory size2.9 KiB
2024-04-19T14:36:36.737744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length22.928803
Min length15

Characters and Unicode

Total characters7085
Distinct characters136
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

Unique285 ?
Unique (%)92.2%

Sample

1st row대구광역시 동구 반야월북로 209 (각산동)
2nd row대구광역시 동구 동촌로 71 (검사동)
3rd row대구광역시 동구 해동로 207 (검사동)
4th row대구광역시 동구 팔공로24길 171 (도동)
5th row대구광역시 동구 도장길 29 (도학동)
ValueCountFrequency (%)
대구광역시 307
19.9%
동구 307
19.9%
신천동 46
 
3.0%
신암동 46
 
3.0%
효목동 27
 
1.7%
동촌로 26
 
1.7%
안심로 20
 
1.3%
방촌동 20
 
1.3%
신서동 20
 
1.3%
봉무동 18
 
1.2%
Other values (362) 706
45.8%
2024-04-19T14:36:37.171510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1234
17.4%
동 723
 
10.2%
구 631
 
8.9%
대 336
 
4.7%
로 314
 
4.4%
시 308
 
4.3%
광 307
 
4.3%
역 307
 
4.3%
( 305
 
4.3%
) 305
 
4.3%
Other values (126) 2315
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4234
59.8%
Space Separator 1234
 
17.4%
Decimal Number 972
 
13.7%
Open Punctuation 305
 
4.3%
Close Punctuation 305
 
4.3%
Dash Punctuation 30
 
0.4%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 723
17.1%
구 631
14.9%
대 336
 
7.9%
로 314
 
7.4%
시 308
 
7.3%
광 307
 
7.3%
역 307
 
7.3%
신 145
 
3.4%
길 99
 
2.3%
암 63
 
1.5%
Other values (110) 1001
23.6%
Decimal Number
ValueCountFrequency (%)
1 172
17.7%
2 126
13.0%
5 101
10.4%
4 98
10.1%
3 96
9.9%
7 88
9.1%
6 82
8.4%
0 81
8.3%
9 69
7.1%
8 59
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
? 2
40.0%
Space Separator
ValueCountFrequency (%)
1234
100.0%
Open Punctuation
ValueCountFrequency (%)
( 305
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4234
59.8%
Common 2851
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 723
17.1%
구 631
14.9%
대 336
 
7.9%
로 314
 
7.4%
시 308
 
7.3%
광 307
 
7.3%
역 307
 
7.3%
신 145
 
3.4%
길 99
 
2.3%
암 63
 
1.5%
Other values (110) 1001
23.6%
Common
ValueCountFrequency (%)
1234
43.3%
( 305
 
10.7%
) 305
 
10.7%
1 172
 
6.0%
2 126
 
4.4%
5 101
 
3.5%
4 98
 
3.4%
3 96
 
3.4%
7 88
 
3.1%
6 82
 
2.9%
Other values (6) 244
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4234
59.8%
ASCII 2851
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1234
43.3%
( 305
 
10.7%
) 305
 
10.7%
1 172
 
6.0%
2 126
 
4.4%
5 101
 
3.5%
4 98
 
3.4%
3 96
 
3.4%
7 88
 
3.1%
6 82
 
2.9%
Other values (6) 244
 
8.6%
Hangul
ValueCountFrequency (%)
동 723
17.1%
구 631
14.9%
대 336
 
7.9%
로 314
 
7.4%
시 308
 
7.3%
광 307
 
7.3%
역 307
 
7.3%
신 145
 
3.4%
길 99
 
2.3%
암 63
 
1.5%
Other values (110) 1001
23.6%

소재지지번주소
Text

Distinct332
Distinct (%)95.4%
Missing2
Missing (%)0.6%
Memory size2.9 KiB
2024-04-19T14:36:37.512170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.727011
Min length15

Characters and Unicode

Total characters6169
Distinct characters69
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

Unique323 ?
Unique (%)92.8%

Sample

1st row대구광역시 동구 각산동 224-7
2nd row대구광역시 동구 검사동 1012-1
3rd row대구광역시 동구 검사동 990-25
4th row대구광역시 동구 도동 978-385
5th row대구광역시 동구 도학동 399
ValueCountFrequency (%)
대구광역시 348
24.9%
동구 348
24.9%
신암동 48
 
3.4%
신천동 46
 
3.3%
효목동 32
 
2.3%
신서동 22
 
1.6%
방촌동 22
 
1.6%
봉무동 20
 
1.4%
율하동 16
 
1.1%
용계동 15
 
1.1%
Other values (356) 478
34.3%
2024-04-19T14:36:37.980063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1047
17.0%
동 703
11.4%
구 696
11.3%
대 356
 
5.8%
광 349
 
5.7%
시 348
 
5.6%
역 348
 
5.6%
1 304
 
4.9%
- 241
 
3.9%
2 164
 
2.7%
Other values (59) 1613
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3487
56.5%
Decimal Number 1394
 
22.6%
Space Separator 1047
 
17.0%
Dash Punctuation 241
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 703
20.2%
구 696
20.0%
대 356
10.2%
광 349
10.0%
시 348
10.0%
역 348
10.0%
신 126
 
3.6%
암 50
 
1.4%
천 49
 
1.4%
효 32
 
0.9%
Other values (47) 430
12.3%
Decimal Number
ValueCountFrequency (%)
1 304
21.8%
2 164
11.8%
4 143
10.3%
5 123
8.8%
3 122
8.8%
6 116
 
8.3%
9 111
 
8.0%
0 111
 
8.0%
7 100
 
7.2%
8 100
 
7.2%
Space Separator
ValueCountFrequency (%)
1047
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3487
56.5%
Common 2682
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 703
20.2%
구 696
20.0%
대 356
10.2%
광 349
10.0%
시 348
10.0%
역 348
10.0%
신 126
 
3.6%
암 50
 
1.4%
천 49
 
1.4%
효 32
 
0.9%
Other values (47) 430
12.3%
Common
ValueCountFrequency (%)
1047
39.0%
1 304
 
11.3%
- 241
 
9.0%
2 164
 
6.1%
4 143
 
5.3%
5 123
 
4.6%
3 122
 
4.5%
6 116
 
4.3%
9 111
 
4.1%
0 111
 
4.1%
Other values (2) 200
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3487
56.5%
ASCII 2682
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1047
39.0%
1 304
 
11.3%
- 241
 
9.0%
2 164
 
6.1%
4 143
 
5.3%
5 123
 
4.6%
3 122
 
4.5%
6 116
 
4.3%
9 111
 
4.1%
0 111
 
4.1%
Other values (2) 200
 
7.5%
Hangul
ValueCountFrequency (%)
동 703
20.2%
구 696
20.0%
대 356
10.2%
광 349
10.0%
시 348
10.0%
역 348
10.0%
신 126
 
3.6%
암 50
 
1.4%
천 49
 
1.4%
효 32
 
0.9%
Other values (47) 430
12.3%

남녀공용화장실여부
Boolean

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size482.0 B
False
298 
True
52 
ValueCountFrequency (%)
False 298
85.1%
True 52
 
14.9%
2024-04-19T14:36:38.088211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5171429
Minimum0
Maximum99
Zeros59
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:38.204472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q38
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.730555
Coefficient of variation (CV)1.6935364
Kurtosis14.520421
Mean7.5171429
Median Absolute Deviation (MAD)2
Skewness3.252441
Sum2631
Variance162.06704
MonotonicityNot monotonic
2024-04-19T14:36:38.335044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 84
24.0%
0 59
16.9%
2 52
14.9%
3 23
 
6.6%
4 13
 
3.7%
8 11
 
3.1%
6 10
 
2.9%
5 10
 
2.9%
13 6
 
1.7%
7 6
 
1.7%
Other values (34) 76
21.7%
ValueCountFrequency (%)
0 59
16.9%
1 84
24.0%
2 52
14.9%
3 23
 
6.6%
4 13
 
3.7%
5 10
 
2.9%
6 10
 
2.9%
7 6
 
1.7%
8 11
 
3.1%
9 2
 
0.6%
ValueCountFrequency (%)
99 1
0.3%
87 1
0.3%
68 2
0.6%
51 2
0.6%
47 1
0.3%
44 1
0.3%
43 1
0.3%
40 1
0.3%
37 1
0.3%
34 1
0.3%

남성용-소변기수
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.305714
Minimum0
Maximum156
Zeros55
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:38.459953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile50.55
Maximum156
Range156
Interquartile range (IQR)11

Descriptive statistics

Standard deviation19.310336
Coefficient of variation (CV)1.7080156
Kurtosis12.310074
Mean11.305714
Median Absolute Deviation (MAD)3
Skewness2.9595324
Sum3957
Variance372.88908
MonotonicityNot monotonic
2024-04-19T14:36:38.626532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 59
16.9%
0 55
15.7%
1 54
15.4%
3 34
 
9.7%
4 12
 
3.4%
5 11
 
3.1%
6 9
 
2.6%
8 8
 
2.3%
18 6
 
1.7%
14 6
 
1.7%
Other values (47) 96
27.4%
ValueCountFrequency (%)
0 55
15.7%
1 54
15.4%
2 59
16.9%
3 34
9.7%
4 12
 
3.4%
5 11
 
3.1%
6 9
 
2.6%
7 4
 
1.1%
8 8
 
2.3%
9 5
 
1.4%
ValueCountFrequency (%)
156 1
0.3%
106 2
0.6%
78 1
0.3%
70 1
0.3%
67 1
0.3%
63 2
0.6%
62 1
0.3%
59 1
0.3%
58 2
0.6%
56 2
0.6%

남성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0485714
Minimum0
Maximum26
Zeros183
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:38.751690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.55
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1599203
Coefficient of variation (CV)2.0598695
Kurtosis54.958534
Mean1.0485714
Median Absolute Deviation (MAD)0
Skewness5.9702355
Sum367
Variance4.6652558
MonotonicityNot monotonic
2024-04-19T14:36:38.865400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 183
52.3%
1 91
26.0%
2 49
 
14.0%
3 6
 
1.7%
6 4
 
1.1%
5 4
 
1.1%
4 3
 
0.9%
7 3
 
0.9%
8 3
 
0.9%
11 1
 
0.3%
Other values (3) 3
 
0.9%
ValueCountFrequency (%)
0 183
52.3%
1 91
26.0%
2 49
 
14.0%
3 6
 
1.7%
4 3
 
0.9%
5 4
 
1.1%
6 4
 
1.1%
7 3
 
0.9%
8 3
 
0.9%
10 1
 
0.3%
ValueCountFrequency (%)
26 1
 
0.3%
12 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
8 3
0.9%
7 3
0.9%
6 4
1.1%
5 4
1.1%
4 3
0.9%
3 6
1.7%

남성용-장애인용소변기수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
350 

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 (%)
0 350
100.0%

Length

2024-04-19T14:36:38.988548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:39.074686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 350
100.0%

남성용-어린이용대변기수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17142857
Minimum0
Maximum7
Zeros317
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:39.149919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73339163
Coefficient of variation (CV)4.2781178
Kurtosis45.155656
Mean0.17142857
Median Absolute Deviation (MAD)0
Skewness6.2952153
Sum60
Variance0.53786328
MonotonicityNot monotonic
2024-04-19T14:36:39.251459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 317
90.6%
1 25
 
7.1%
3 2
 
0.6%
5 2
 
0.6%
2 1
 
0.3%
4 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
0 317
90.6%
1 25
 
7.1%
2 1
 
0.3%
3 2
 
0.6%
4 1
 
0.3%
5 2
 
0.6%
6 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.6%
4 1
 
0.3%
3 2
 
0.6%
2 1
 
0.3%
1 25
 
7.1%
0 317
90.6%

남성용-어린이용소변기수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
350 

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 (%)
0 350
100.0%

Length

2024-04-19T14:36:39.370083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:39.459330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 350
100.0%

여성용-대변기수
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.154286
Minimum0
Maximum319
Zeros78
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:39.553373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile49
Maximum319
Range319
Interquartile range (IQR)11

Descriptive statistics

Standard deviation24.105408
Coefficient of variation (CV)2.1610893
Kurtosis77.333279
Mean11.154286
Median Absolute Deviation (MAD)3
Skewness6.9606346
Sum3904
Variance581.07068
MonotonicityNot monotonic
2024-04-19T14:36:39.683890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
22.3%
2 53
15.1%
1 39
11.1%
3 22
 
6.3%
5 19
 
5.4%
4 18
 
5.1%
6 11
 
3.1%
12 10
 
2.9%
8 8
 
2.3%
7 6
 
1.7%
Other values (48) 86
24.6%
ValueCountFrequency (%)
0 78
22.3%
1 39
11.1%
2 53
15.1%
3 22
 
6.3%
4 18
 
5.1%
5 19
 
5.4%
6 11
 
3.1%
7 6
 
1.7%
8 8
 
2.3%
9 2
 
0.6%
ValueCountFrequency (%)
319 1
0.3%
111 1
0.3%
94 1
0.3%
88 1
0.3%
80 1
0.3%
79 1
0.3%
70 1
0.3%
68 1
0.3%
67 1
0.3%
66 1
0.3%

여성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65428571
Minimum0
Maximum7
Zeros210
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:39.789633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1887348
Coefficient of variation (CV)1.8168436
Kurtosis9.8041707
Mean0.65428571
Median Absolute Deviation (MAD)0
Skewness2.9283886
Sum229
Variance1.4130905
MonotonicityNot monotonic
2024-04-19T14:36:39.887062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 210
60.0%
1 109
31.1%
3 9
 
2.6%
4 7
 
2.0%
2 6
 
1.7%
6 4
 
1.1%
5 3
 
0.9%
7 2
 
0.6%
ValueCountFrequency (%)
0 210
60.0%
1 109
31.1%
2 6
 
1.7%
3 9
 
2.6%
4 7
 
2.0%
5 3
 
0.9%
6 4
 
1.1%
7 2
 
0.6%
ValueCountFrequency (%)
7 2
 
0.6%
6 4
 
1.1%
5 3
 
0.9%
4 7
 
2.0%
3 9
 
2.6%
2 6
 
1.7%
1 109
31.1%
0 210
60.0%

여성용-어린이용대변기수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20857143
Minimum0
Maximum12
Zeros322
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:39.989442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1071198
Coefficient of variation (CV)5.3081087
Kurtosis79.051054
Mean0.20857143
Median Absolute Deviation (MAD)0
Skewness8.3207343
Sum73
Variance1.2257143
MonotonicityNot monotonic
2024-04-19T14:36:40.097176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 322
92.0%
1 16
 
4.6%
2 5
 
1.4%
3 2
 
0.6%
12 2
 
0.6%
4 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
0 322
92.0%
1 16
 
4.6%
2 5
 
1.4%
3 2
 
0.6%
4 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
12 2
 
0.6%
ValueCountFrequency (%)
12 2
 
0.6%
7 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
3 2
 
0.6%
2 5
 
1.4%
1 16
 
4.6%
0 322
92.0%

관리기관명
Text

Distinct165
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-19T14:36:40.318837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length4.9457143
Min length2

Characters and Unicode

Total characters1731
Distinct characters236
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

Unique145 ?
Unique (%)41.4%

Sample

1st row경찰서
2nd row법무부
3rd row우체국
4th row도평동 주민센터
5th row대구광역시
ValueCountFrequency (%)
교육청 50
 
13.0%
공원녹지과 42
 
10.9%
주민센터 17
 
4.4%
경제정책과 14
 
3.6%
팔공산관리사무소 13
 
3.4%
도시철도공사 13
 
3.4%
경찰서 13
 
3.4%
대구광역시 12
 
3.1%
우체국 10
 
2.6%
건설과 7
 
1.8%
Other values (168) 193
50.3%
2024-04-19T14:36:40.703723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 87
 
5.0%
공 77
 
4.4%
지 56
 
3.2%
교 53
 
3.1%
육 53
 
3.1%
청 52
 
3.0%
원 52
 
3.0%
사 43
 
2.5%
녹 42
 
2.4%
도 36
 
2.1%
Other values (226) 1180
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1638
94.6%
Space Separator 34
 
2.0%
Decimal Number 19
 
1.1%
Open Punctuation 10
 
0.6%
Close Punctuation 10
 
0.6%
Other Punctuation 9
 
0.5%
Other Symbol 8
 
0.5%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 87
 
5.3%
공 77
 
4.7%
지 56
 
3.4%
교 53
 
3.2%
육 53
 
3.2%
청 52
 
3.2%
원 52
 
3.2%
사 43
 
2.6%
녹 42
 
2.6%
도 36
 
2.2%
Other values (212) 1087
66.4%
Decimal Number
ValueCountFrequency (%)
1 8
42.1%
2 4
21.1%
3 3
 
15.8%
4 3
 
15.8%
5 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
T 1
33.3%
K 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1646
95.1%
Common 82
 
4.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 87
 
5.3%
공 77
 
4.7%
지 56
 
3.4%
교 53
 
3.2%
육 53
 
3.2%
청 52
 
3.2%
원 52
 
3.2%
사 43
 
2.6%
녹 42
 
2.6%
도 36
 
2.2%
Other values (213) 1095
66.5%
Common
ValueCountFrequency (%)
34
41.5%
( 10
 
12.2%
) 10
 
12.2%
1 8
 
9.8%
, 8
 
9.8%
2 4
 
4.9%
3 3
 
3.7%
4 3
 
3.7%
5 1
 
1.2%
& 1
 
1.2%
Latin
ValueCountFrequency (%)
G 1
33.3%
T 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1638
94.6%
ASCII 85
 
4.9%
None 8
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 87
 
5.3%
공 77
 
4.7%
지 56
 
3.4%
교 53
 
3.2%
육 53
 
3.2%
청 52
 
3.2%
원 52
 
3.2%
사 43
 
2.6%
녹 42
 
2.6%
도 36
 
2.2%
Other values (212) 1087
66.4%
ASCII
ValueCountFrequency (%)
34
40.0%
( 10
 
11.8%
) 10
 
11.8%
1 8
 
9.4%
, 8
 
9.4%
2 4
 
4.7%
3 3
 
3.5%
4 3
 
3.5%
5 1
 
1.2%
G 1
 
1.2%
Other values (3) 3
 
3.5%
None
ValueCountFrequency (%)
㈜ 8
100.0%

전화번호
Text

MISSING 

Distinct235
Distinct (%)76.3%
Missing42
Missing (%)12.0%
Memory size2.9 KiB
2024-04-19T14:36:40.924048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3696
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

Unique219 ?
Unique (%)71.1%

Sample

1st row053-959-0112
2nd row053-980-3505
3rd row053-983-1100
4th row053-662-3331
5th row053-606-6171
ValueCountFrequency (%)
053-662-4027 14
 
4.5%
053-640-2326 13
 
4.2%
053-662-3547 10
 
3.2%
053-662-3142 7
 
2.3%
053-803-7103 7
 
2.3%
053-662-2858 7
 
2.3%
053-662-4131 7
 
2.3%
053-662-3553 5
 
1.6%
053-662-2183 3
 
1.0%
053-803-7135 3
 
1.0%
Other values (225) 232
75.3%
2024-04-19T14:36:41.270315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 616
16.7%
3 570
15.4%
0 566
15.3%
5 502
13.6%
2 361
9.8%
6 298
8.1%
1 197
 
5.3%
9 160
 
4.3%
4 152
 
4.1%
8 143
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3080
83.3%
Dash Punctuation 616
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 570
18.5%
0 566
18.4%
5 502
16.3%
2 361
11.7%
6 298
9.7%
1 197
 
6.4%
9 160
 
5.2%
4 152
 
4.9%
8 143
 
4.6%
7 131
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 616
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 616
16.7%
3 570
15.4%
0 566
15.3%
5 502
13.6%
2 361
9.8%
6 298
8.1%
1 197
 
5.3%
9 160
 
4.3%
4 152
 
4.1%
8 143
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 616
16.7%
3 570
15.4%
0 566
15.3%
5 502
13.6%
2 361
9.8%
6 298
8.1%
1 197
 
5.3%
9 160
 
4.3%
4 152
 
4.1%
8 143
 
3.9%

개방시간
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
09:00~18:00
176 
연중무휴
166 
09:00 ~ 22:00
 
7
09:00 ~ 16:00
 
1

Length

Max length13
Median length11
Mean length7.7257143
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
09:00~18:00 176
50.3%
연중무휴 166
47.4%
09:00 ~ 22:00 7
 
2.0%
09:00 ~ 16:00 1
 
0.3%

Length

2024-04-19T14:36:41.404002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:41.500589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~18:00 176
48.1%
연중무휴 166
45.4%
09:00 8
 
2.2%
8
 
2.2%
22:00 7
 
1.9%
16:00 1
 
0.3%

설치년월
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing350
Missing (%)100.0%
Memory size3.2 KiB

위도
Real number (ℝ)

Distinct332
Distinct (%)95.4%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean35.891891
Minimum35.859022
Maximum36.002618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:41.621591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.859022
5-th percentile35.866702
Q135.874086
median35.880273
Q335.893049
95-th percentile35.976733
Maximum36.002618
Range0.143596
Interquartile range (IQR)0.01896289

Descriptive statistics

Standard deviation0.031253033
Coefficient of variation (CV)0.0008707547
Kurtosis3.4505882
Mean35.891891
Median Absolute Deviation (MAD)0.00845561
Skewness2.0164817
Sum12490.378
Variance0.00097675206
MonotonicityNot monotonic
2024-04-19T14:36:41.752827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9219591877 6
 
1.7%
35.85992179 5
 
1.4%
35.9200042205 3
 
0.9%
35.86994655 2
 
0.6%
35.882024 2
 
0.6%
35.86865485 2
 
0.6%
35.87793987 2
 
0.6%
35.9879081 2
 
0.6%
35.89602415 1
 
0.3%
35.89589294 1
 
0.3%
Other values (322) 322
92.0%
(Missing) 2
 
0.6%
ValueCountFrequency (%)
35.85902199 1
 
0.3%
35.85992179 5
1.4%
35.86259531 1
 
0.3%
35.86421813 1
 
0.3%
35.86455735 1
 
0.3%
35.8653521 1
 
0.3%
35.86577059 1
 
0.3%
35.86577797 1
 
0.3%
35.86595994 1
 
0.3%
35.86597476 1
 
0.3%
ValueCountFrequency (%)
36.0026179855 1
0.3%
35.99453724 1
0.3%
35.99413777 1
0.3%
35.99383743 1
0.3%
35.99357988 1
0.3%
35.99255169 1
0.3%
35.9921428 1
0.3%
35.99186925 1
0.3%
35.99143515 1
0.3%
35.99118724 1
0.3%

경도
Real number (ℝ)

Distinct330
Distinct (%)95.1%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean128.66165
Minimum128.60755
Maximum128.75491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:41.887146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.60755
5-th percentile128.61644
Q1128.63144
median128.6454
Q3128.69281
95-th percentile128.73272
Maximum128.75491
Range0.1473609
Interquartile range (IQR)0.061372

Descriptive statistics

Standard deviation0.038409363
Coefficient of variation (CV)0.00029853001
Kurtosis-0.73074422
Mean128.66165
Median Absolute Deviation (MAD)0.020586
Skewness0.72143348
Sum44645.593
Variance0.0014752792
MonotonicityNot monotonic
2024-04-19T14:36:42.022033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.650179861 6
 
1.7%
128.6928366 5
 
1.4%
128.6464240151 3
 
0.9%
128.7304851 2
 
0.6%
128.6589287 2
 
0.6%
128.6291892 2
 
0.6%
128.6147773778 2
 
0.6%
128.6205702 2
 
0.6%
128.6943221 2
 
0.6%
128.7023541 1
 
0.3%
Other values (320) 320
91.4%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
128.607549 1
0.3%
128.6108097 1
0.3%
128.6121836 1
0.3%
128.6124671 1
0.3%
128.6127068 1
0.3%
128.6129486 1
0.3%
128.6140264 1
0.3%
128.6141715 1
0.3%
128.6147479 1
0.3%
128.6147773778 2
0.6%
ValueCountFrequency (%)
128.7549099 1
0.3%
128.7537614 1
0.3%
128.7533069 1
0.3%
128.7490583 1
0.3%
128.7473234 1
0.3%
128.7435656 1
0.3%
128.7400809 1
0.3%
128.7390233 1
0.3%
128.738129 1
0.3%
128.7372804 1
0.3%

화장실소유구분
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
민간
131 
공공기관
122 
지방자치단체
97 

Length

Max length6
Median length4
Mean length3.8057143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 131
37.4%
공공기관 122
34.9%
지방자치단체 97
27.7%

Length

2024-04-19T14:36:42.159566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:42.580241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 131
37.4%
공공기관 122
34.9%
지방자치단체 97
27.7%

화장실설치장소유형
Categorical

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
공공용시설
123 
관광·체육시설
71 
상업시설
66 
주유소·충전소
63 
교통시설
18 

Length

Max length7
Median length5
Mean length5.4485714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공용시설 123
35.1%
관광·체육시설 71
20.3%
상업시설 66
18.9%
주유소·충전소 63
18.0%
교통시설 18
 
5.1%
기타 9
 
2.6%

Length

2024-04-19T14:36:42.692978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:42.813126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용시설 123
35.1%
관광·체육시설 71
20.3%
상업시설 66
18.9%
주유소·충전소 63
18.0%
교통시설 18
 
5.1%
기타 9
 
2.6%

오물처리방식
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
수세식
345 
수거식
 
5

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 345
98.6%
수거식 5
 
1.4%

Length

2024-04-19T14:36:42.947365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:43.045025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수세식 345
98.6%
수거식 5
 
1.4%

비상벨 설치유형
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
없음
295 
여자
48 
장애인+여자
 
6
남자+여자
 
1

Length

Max length6
Median length2
Mean length2.0771429
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
없음 295
84.3%
여자 48
 
13.7%
장애인+여자 6
 
1.7%
남자+여자 1
 
0.3%

Length

2024-04-19T14:36:43.179371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:43.298318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 295
84.3%
여자 48
 
13.7%
장애인+여자 6
 
1.7%
남자+여자 1
 
0.3%

화장실입구cctv설치유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size482.0 B
False
350 
ValueCountFrequency (%)
False 350
100.0%
2024-04-19T14:36:43.411059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
없음
350 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 350
100.0%

Length

2024-04-19T14:36:43.534818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:43.656585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 350
100.0%

리모델링년월
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing350
Missing (%)100.0%
Memory size3.2 KiB

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2020-07-09 00:00:00
Maximum2020-07-09 00:00:00
2024-04-19T14:36:43.756453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:36:43.887858image/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-어린이용대변기수관리기관명전화번호개방시간설치년월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨 설치유형화장실입구cctv설치유무기저귀교환대장소리모델링년월데이터기준일자
0공중화장실동부경찰서대구광역시 동구 반야월북로 209 (각산동)대구광역시 동구 각산동 224-7N232320002220경찰서053-959-011209:00~18:00<NA>35.874318128.720647공공기관공공용시설수세식없음N없음<NA>2020-07-09
1개방화장실대구출입국관리사무소대구광역시 동구 동촌로 71 (검사동)대구광역시 동구 검사동 1012-1N7150000700법무부053-980-350509:00~18:00<NA>35.888842128.649991공공기관공공용시설수세식없음N없음<NA>2020-07-09
2개방화장실동촌우체국대구광역시 동구 해동로 207 (검사동)대구광역시 동구 검사동 990-25N012000000우체국053-983-110009:00~18:00<NA>35.885813128.651276공공기관공공용시설수세식없음N없음<NA>2020-07-09
3개방화장실도평동 행정복지센터대구광역시 동구 팔공로24길 171 (도동)대구광역시 동구 도동 978-385Y212000000도평동 주민센터053-662-333109:00~18:00<NA>35.909977128.650131지방자치단체공공용시설수세식없음N없음<NA>2020-07-09
4개방화장실대구방짜유기박물관대구광역시 동구 도장길 29 (도학동)대구광역시 동구 도학동 399N71200001000대구광역시053-606-617109:00~18:00<NA>35.965452128.701365지방자치단체공공용시설수세식없음N없음<NA>2020-07-09
5개방화장실안심우체국대구광역시 동구 경안로 780 (동호동)대구광역시 동구 동호동 113-1N332000400우체국053-962-200709:00~18:00<NA>35.871605128.713957공공기관공공용시설수세식없음N없음<NA>2020-07-09
6개방화장실동호동우체국대구광역시 동구 동호로 63 (동호동)대구광역시 동구 동호동 376-1N011000110우체국053-961-007309:00~18:00<NA>35.865975128.724005공공기관공공용시설수세식없음N없음<NA>2020-07-09
7개방화장실대구시농업기술센터대구광역시 동구 동촌로42길 69 (방촌동)대구광역시 동구 방촌동 1050-30N9120000900대구광역시053-980-380009:00~18:00<NA>35.880079128.660253지방자치단체공공용시설수세식없음N없음<NA>2020-07-09
8개방화장실방촌동 행정복지센터대구광역시 동구 동촌로48길 26 (방촌동)대구광역시 동구 방촌동 1084-124N121000200방촌동주민센터053-662-333509:00~18:00<NA>35.880033128.665258지방자치단체공공용시설수세식없음N없음<NA>2020-07-09
9개방화장실해안동 행정복지센터대구광역시 동구 방촌로29길 46 (방촌동)대구광역시 동구 방촌동 822-5N440000400해안동주민센터053-662-333609:00~18:00<NA>35.882079128.671677지방자치단체공공용시설수세식없음N없음<NA>2020-07-09
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치년월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨 설치유형화장실입구cctv설치유무기저귀교환대장소리모델링년월데이터기준일자
340공중화장실공항랜드주유소대구광역시 동구 공항로 259 (지저동)대구광역시 동구 지저동 678-6N120000100강태수053-942-5000연중무휴<NA>35.895893128.641077민간주유소·충전소수세식없음N없음<NA>2020-07-09
341공중화장실백두산주유소대구광역시 동구 공항로 254 (지저동)대구광역시 동구 지저동 684-7Y000000000김영진053-944-4567연중무휴<NA>35.896024128.640136민간주유소·충전소수세식없음N없음<NA>2020-07-09
342개방화장실대원주유소대구광역시 동구 효동로 66 (효목동)대구광역시 동구 효목동 136-11N120000100장성일 외1053-745-3900연중무휴<NA>35.88293128.644881민간주유소·충전소수세식없음N없음<NA>2020-07-09
343개방화장실효동로주유소대구광역시 동구 효동로 77 (효목동)대구광역시 동구 효목동 137-49N120000200장성일053-755-4300연중무휴<NA>35.883351128.643556민간주유소·충전소수세식없음N없음<NA>2020-07-09
344공중화장실효목주유소대구광역시 동구 동부로 211 (효목동)대구광역시 동구 효목동 289-2Y000000000박수경<NA>연중무휴<NA>35.879289128.634674민간주유소·충전소수세식없음N없음<NA>2020-07-09
345공중화장실㈜경북가스대구광역시 동구 효신로16길 122 (효목동)대구광역시 동구 효목동 291-4N230000200장래익<NA>연중무휴<NA>35.880715128.635871민간주유소·충전소수세식없음N없음<NA>2020-07-09
346공중화장실율하LPG충전소대구광역시 동구 안심로 24 (용계동)대구광역시 동구 용계동 668N000000000한광수053-751-7050연중무휴<NA>35.872706128.689128민간주유소·충전소수세식없음N없음<NA>2020-07-09
347공중화장실아주에너지㈜아주LPG충전소대구광역시 동구 공항로 149 (불로동)대구광역시 동구 불로동 955-21N000000000손승호<NA>연중무휴<NA>35.901129128.630905민간주유소·충전소수세식없음N없음<NA>2020-07-09
348공중화장실일호주유소대구광역시 동구 화랑로 103 (효목동)대구광역시 동구 효목동 525-2N110000100양영수053-751-7050연중무휴<NA>35.87316128.637958민간주유소·충전소수세식없음N없음<NA>2020-07-09
349개방화장실㈜신세계동대구복합환승센터(터미널)대구광역시 동구 동부로 149 (신천동)대구광역시 동구 신천동 329-3N3336607067612코리안와이드터미널<NA>연중무휴<NA>35.87794128.629189민간교통시설수세식여자N없음<NA>2020-07-09