Overview

Dataset statistics

Number of variables28
Number of observations145
Missing cells171
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.4 KiB
Average record size in memory235.9 B

Variable types

Categorical11
Text5
Boolean2
Numeric7
DateTime3

Alerts

리모델링연월 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분 is highly imbalanced (63.8%)Imbalance
남녀공용화장실여부 is highly imbalanced (69.2%)Imbalance
남성용-어린이용대변기수 is highly imbalanced (82.7%)Imbalance
남성용-어린이용소변기수 is highly imbalanced (84.8%)Imbalance
여성용-어린이용대변기수 is highly imbalanced (87.8%)Imbalance
오물처리방식 is highly imbalanced (94.1%)Imbalance
비상벨설치유형 is highly imbalanced (56.5%)Imbalance
화장실입구cctv설치유무 is highly imbalanced (63.8%)Imbalance
기저귀교환대장소 is highly imbalanced (72.4%)Imbalance
위도 has 13 (9.0%) missing valuesMissing
경도 has 13 (9.0%) missing valuesMissing
리모델링연월 has 144 (99.3%) missing valuesMissing
화장실명 has unique valuesUnique
남성용-대변기수 has 8 (5.5%) zerosZeros
남성용-장애인용소변기수 has 134 (92.4%) zerosZeros
여성용-대변기수 has 14 (9.7%) zerosZeros
여성용-장애인용대변기수 has 101 (69.7%) zerosZeros

Reproduction

Analysis started2024-04-21 02:46:13.020907
Analysis finished2024-04-21 02:46:13.855993
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
공중화장실
135 
개방화장실
 
10

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 135
93.1%
개방화장실 10
 
6.9%

Length

2024-04-21T11:46:14.050655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:14.363281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공중화장실 135
93.1%
개방화장실 10
 
6.9%

화장실명
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T11:46:15.223936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.0482759
Min length3

Characters and Unicode

Total characters1167
Distinct characters208
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

Unique145 ?
Unique (%)100.0%

Sample

1st row(주)기분좋은 주유소
2nd row(주)브라보 주유소
3rd row(주)코리아와이드 대구북부(구. 북부정류장)
4th rowe편한주유소
5th row가르뱅이공원 화장실
ValueCountFrequency (%)
행정복지센터 17
 
8.9%
공원(완충녹지 5
 
2.6%
주유소 4
 
2.1%
내당2,3동 2
 
1.0%
주)기분좋은 1
 
0.5%
아름다운주유소 1
 
0.5%
서부시장(북 1
 
0.5%
승화주유소 1
 
0.5%
영신제2주유소 1
 
0.5%
신광주유소 1
 
0.5%
Other values (158) 158
82.3%
2024-04-21T11:46:16.289837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
4.0%
주 45
 
3.9%
소 44
 
3.8%
서 42
 
3.6%
지 40
 
3.4%
구 39
 
3.3%
유 39
 
3.3%
원 33
 
2.8%
터 30
 
2.6%
센 29
 
2.5%
Other values (198) 779
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
85.9%
Space Separator 47
 
4.0%
Decimal Number 45
 
3.9%
Open Punctuation 20
 
1.7%
Close Punctuation 20
 
1.7%
Uppercase Letter 20
 
1.7%
Other Punctuation 5
 
0.4%
Lowercase Letter 5
 
0.4%
Other Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 45
 
4.5%
소 44
 
4.4%
서 42
 
4.2%
지 40
 
4.0%
구 39
 
3.9%
유 39
 
3.9%
원 33
 
3.3%
터 30
 
3.0%
센 29
 
2.9%
대 25
 
2.5%
Other values (173) 636
63.5%
Decimal Number
ValueCountFrequency (%)
1 14
31.1%
2 10
22.2%
3 8
17.8%
4 3
 
6.7%
9 3
 
6.7%
7 3
 
6.7%
6 2
 
4.4%
5 2
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
L 7
35.0%
B 5
25.0%
I 2
 
10.0%
C 2
 
10.0%
P 2
 
10.0%
G 2
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
f 1
20.0%
l 1
20.0%
s 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1004
86.0%
Common 138
 
11.8%
Latin 25
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 45
 
4.5%
소 44
 
4.4%
서 42
 
4.2%
지 40
 
4.0%
구 39
 
3.9%
유 39
 
3.9%
원 33
 
3.3%
터 30
 
3.0%
센 29
 
2.9%
대 25
 
2.5%
Other values (174) 638
63.5%
Common
ValueCountFrequency (%)
47
34.1%
( 20
14.5%
) 20
14.5%
1 14
 
10.1%
2 10
 
7.2%
3 8
 
5.8%
4 3
 
2.2%
9 3
 
2.2%
, 3
 
2.2%
7 3
 
2.2%
Other values (4) 7
 
5.1%
Latin
ValueCountFrequency (%)
L 7
28.0%
B 5
20.0%
e 2
 
8.0%
I 2
 
8.0%
C 2
 
8.0%
P 2
 
8.0%
G 2
 
8.0%
f 1
 
4.0%
l 1
 
4.0%
s 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1002
85.9%
ASCII 163
 
14.0%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
28.8%
( 20
12.3%
) 20
12.3%
1 14
 
8.6%
2 10
 
6.1%
3 8
 
4.9%
L 7
 
4.3%
B 5
 
3.1%
4 3
 
1.8%
9 3
 
1.8%
Other values (14) 26
16.0%
Hangul
ValueCountFrequency (%)
주 45
 
4.5%
소 44
 
4.4%
서 42
 
4.2%
지 40
 
4.0%
구 39
 
3.9%
유 39
 
3.9%
원 33
 
3.3%
터 30
 
3.0%
센 29
 
2.9%
대 25
 
2.5%
Other values (173) 636
63.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지도로명주소
Text

Distinct144
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T11:46:17.309389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31
Mean length21.089655
Min length15

Characters and Unicode

Total characters3058
Distinct characters80
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

Unique143 ?
Unique (%)98.6%

Sample

1st row대구광역시 서구 와룡로 420 (이현동)
2nd row대구광역시 서구 북비산로 95 (이현동)
3rd row대구광역시 서구 서대구로 295 (비산동)
4th row대구광역시 서구 평리로 317 (평리동)
5th row대구광역시 서구 상리동 산 264
ValueCountFrequency (%)
대구광역시 145
22.0%
서구 145
22.0%
평리동 28
 
4.2%
국채보상로 19
 
2.9%
이현동 15
 
2.3%
비산동 14
 
2.1%
북비산로 13
 
2.0%
중리동 12
 
1.8%
서대구로 9
 
1.4%
달서로 7
 
1.1%
Other values (187) 253
38.3%
2024-04-21T11:46:18.563740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
515
16.8%
구 324
 
10.6%
서 192
 
6.3%
대 178
 
5.8%
시 151
 
4.9%
광 147
 
4.8%
역 147
 
4.8%
로 131
 
4.3%
1 98
 
3.2%
동 80
 
2.6%
Other values (70) 1095
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1894
61.9%
Space Separator 515
 
16.8%
Decimal Number 484
 
15.8%
Close Punctuation 66
 
2.2%
Open Punctuation 66
 
2.2%
Dash Punctuation 23
 
0.8%
Other Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 324
17.1%
서 192
10.1%
대 178
 
9.4%
시 151
 
8.0%
광 147
 
7.8%
역 147
 
7.8%
로 131
 
6.9%
동 80
 
4.2%
리 51
 
2.7%
길 46
 
2.4%
Other values (55) 447
23.6%
Decimal Number
ValueCountFrequency (%)
1 98
20.2%
2 64
13.2%
3 60
12.4%
4 51
10.5%
7 49
10.1%
5 41
8.5%
6 38
 
7.9%
0 35
 
7.2%
8 27
 
5.6%
9 21
 
4.3%
Space Separator
ValueCountFrequency (%)
515
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1894
61.9%
Common 1164
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 324
17.1%
서 192
10.1%
대 178
 
9.4%
시 151
 
8.0%
광 147
 
7.8%
역 147
 
7.8%
로 131
 
6.9%
동 80
 
4.2%
리 51
 
2.7%
길 46
 
2.4%
Other values (55) 447
23.6%
Common
ValueCountFrequency (%)
515
44.2%
1 98
 
8.4%
) 66
 
5.7%
( 66
 
5.7%
2 64
 
5.5%
3 60
 
5.2%
4 51
 
4.4%
7 49
 
4.2%
5 41
 
3.5%
6 38
 
3.3%
Other values (5) 116
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1894
61.9%
ASCII 1164
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
515
44.2%
1 98
 
8.4%
) 66
 
5.7%
( 66
 
5.7%
2 64
 
5.5%
3 60
 
5.2%
4 51
 
4.4%
7 49
 
4.2%
5 41
 
3.5%
6 38
 
3.3%
Other values (5) 116
 
10.0%
Hangul
ValueCountFrequency (%)
구 324
17.1%
서 192
10.1%
대 178
 
9.4%
시 151
 
8.0%
광 147
 
7.8%
역 147
 
7.8%
로 131
 
6.9%
동 80
 
4.2%
리 51
 
2.7%
길 46
 
2.4%
Other values (55) 447
23.6%

소재지지번주소
Text

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T11:46:19.718801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.524138
Min length16

Characters and Unicode

Total characters2686
Distinct characters31
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

Unique139 ?
Unique (%)95.9%

Sample

1st row대구광역시 서구 이현동 44-106
2nd row대구광역시 서구 이현동 33-14
3rd row대구광역시 서구 비산동 1856-3
4th row대구광역시 서구 평리동 1359-2
5th row대구광역시 서구 상리동 산 264-1
ValueCountFrequency (%)
대구광역시 145
24.8%
서구 145
24.8%
평리동 44
 
7.5%
비산동 33
 
5.6%
내당동 22
 
3.8%
중리동 19
 
3.2%
이현동 18
 
3.1%
원대동3가 5
 
0.9%
산 5
 
0.9%
상리동 2
 
0.3%
Other values (143) 147
25.1%
2024-04-21T11:46:21.128168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
440
16.4%
구 290
 
10.8%
대 152
 
5.7%
1 148
 
5.5%
시 145
 
5.4%
서 145
 
5.4%
역 145
 
5.4%
동 145
 
5.4%
광 145
 
5.4%
- 128
 
4.8%
Other values (21) 803
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1462
54.4%
Decimal Number 656
24.4%
Space Separator 440
 
16.4%
Dash Punctuation 128
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 290
19.8%
대 152
10.4%
시 145
9.9%
서 145
9.9%
역 145
9.9%
동 145
9.9%
광 145
9.9%
리 65
 
4.4%
평 44
 
3.0%
산 38
 
2.6%
Other values (9) 148
10.1%
Decimal Number
ValueCountFrequency (%)
1 148
22.6%
2 84
12.8%
3 75
11.4%
4 73
11.1%
0 70
10.7%
5 52
 
7.9%
6 41
 
6.2%
7 40
 
6.1%
8 38
 
5.8%
9 35
 
5.3%
Space Separator
ValueCountFrequency (%)
440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1462
54.4%
Common 1224
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 290
19.8%
대 152
10.4%
시 145
9.9%
서 145
9.9%
역 145
9.9%
동 145
9.9%
광 145
9.9%
리 65
 
4.4%
평 44
 
3.0%
산 38
 
2.6%
Other values (9) 148
10.1%
Common
ValueCountFrequency (%)
440
35.9%
1 148
 
12.1%
- 128
 
10.5%
2 84
 
6.9%
3 75
 
6.1%
4 73
 
6.0%
0 70
 
5.7%
5 52
 
4.2%
6 41
 
3.3%
7 40
 
3.3%
Other values (2) 73
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1462
54.4%
ASCII 1224
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
440
35.9%
1 148
 
12.1%
- 128
 
10.5%
2 84
 
6.9%
3 75
 
6.1%
4 73
 
6.0%
0 70
 
5.7%
5 52
 
4.2%
6 41
 
3.3%
7 40
 
3.3%
Other values (2) 73
 
6.0%
Hangul
ValueCountFrequency (%)
구 290
19.8%
대 152
10.4%
시 145
9.9%
서 145
9.9%
역 145
9.9%
동 145
9.9%
광 145
9.9%
리 65
 
4.4%
평 44
 
3.0%
산 38
 
2.6%
Other values (9) 148
10.1%

남녀공용화장실여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size273.0 B
False
137 
True
 
8
ValueCountFrequency (%)
False 137
94.5%
True 8
 
5.5%
2024-04-21T11:46:21.482460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0827586
Minimum0
Maximum45
Zeros8
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T11:46:21.786487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11
median2
Q34
95-th percentile15.8
Maximum45
Range45
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.5325079
Coefficient of variation (CV)1.600023
Kurtosis15.491869
Mean4.0827586
Median Absolute Deviation (MAD)1
Skewness3.6472164
Sum592
Variance42.673659
MonotonicityNot monotonic
2024-04-21T11:46:22.140990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 52
35.9%
2 36
24.8%
6 9
 
6.2%
0 8
 
5.5%
3 8
 
5.5%
5 7
 
4.8%
4 5
 
3.4%
10 4
 
2.8%
7 2
 
1.4%
9 2
 
1.4%
Other values (10) 12
 
8.3%
ValueCountFrequency (%)
0 8
 
5.5%
1 52
35.9%
2 36
24.8%
3 8
 
5.5%
4 5
 
3.4%
5 7
 
4.8%
6 9
 
6.2%
7 2
 
1.4%
8 1
 
0.7%
9 2
 
1.4%
ValueCountFrequency (%)
45 1
 
0.7%
31 2
1.4%
30 1
 
0.7%
24 1
 
0.7%
22 1
 
0.7%
19 1
 
0.7%
16 1
 
0.7%
15 1
 
0.7%
11 2
1.4%
10 4
2.8%

남성용-소변기수
Real number (ℝ)

Distinct22
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0758621
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T11:46:22.476097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile24.2
Maximum68
Range67
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.5789493
Coefficient of variation (CV)1.6901463
Kurtosis22.728958
Mean5.0758621
Median Absolute Deviation (MAD)1
Skewness4.2288999
Sum736
Variance73.598372
MonotonicityNot monotonic
2024-04-21T11:46:22.855427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 43
29.7%
2 41
28.3%
3 16
 
11.0%
4 9
 
6.2%
9 6
 
4.1%
6 5
 
3.4%
5 5
 
3.4%
8 3
 
2.1%
10 2
 
1.4%
26 2
 
1.4%
Other values (12) 13
 
9.0%
ValueCountFrequency (%)
1 43
29.7%
2 41
28.3%
3 16
 
11.0%
4 9
 
6.2%
5 5
 
3.4%
6 5
 
3.4%
7 2
 
1.4%
8 3
 
2.1%
9 6
 
4.1%
10 2
 
1.4%
ValueCountFrequency (%)
68 1
0.7%
38 1
0.7%
35 1
0.7%
32 1
0.7%
31 1
0.7%
26 2
1.4%
25 1
0.7%
21 1
0.7%
17 1
0.7%
16 1
0.7%

남성용-장애인용대변기수
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
91 
1
45 
2
 
6
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 91
62.8%
1 45
31.0%
2 6
 
4.1%
4 2
 
1.4%
5 1
 
0.7%

Length

2024-04-21T11:46:23.260422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:23.587306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 91
62.8%
1 45
31.0%
2 6
 
4.1%
4 2
 
1.4%
5 1
 
0.7%

남성용-장애인용소변기수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17241379
Minimum0
Maximum5
Zeros134
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T11:46:23.904398image/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 deviation0.70064284
Coefficient of variation (CV)4.0637284
Kurtosis24.60921
Mean0.17241379
Median Absolute Deviation (MAD)0
Skewness4.7843785
Sum25
Variance0.49090038
MonotonicityNot monotonic
2024-04-21T11:46:24.261383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 134
92.4%
1 4
 
2.8%
2 3
 
2.1%
3 2
 
1.4%
5 1
 
0.7%
4 1
 
0.7%
ValueCountFrequency (%)
0 134
92.4%
1 4
 
2.8%
2 3
 
2.1%
3 2
 
1.4%
4 1
 
0.7%
5 1
 
0.7%
ValueCountFrequency (%)
5 1
 
0.7%
4 1
 
0.7%
3 2
 
1.4%
2 3
 
2.1%
1 4
 
2.8%
0 134
92.4%

남성용-어린이용대변기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
138 
1
 
4
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 138
95.2%
1 4
 
2.8%
2 2
 
1.4%
3 1
 
0.7%

Length

2024-04-21T11:46:24.647434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:24.969460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 138
95.2%
1 4
 
2.8%
2 2
 
1.4%
3 1
 
0.7%

남성용-어린이용소변기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
140 
1
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 140
96.6%
1 4
 
2.8%
3 1
 
0.7%

Length

2024-04-21T11:46:25.325550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:25.642642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 140
96.6%
1 4
 
2.8%
3 1
 
0.7%

여성용-대변기수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.262069
Minimum0
Maximum53
Zeros14
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T11:46:25.822319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile22.6
Maximum53
Range53
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.6418078
Coefficient of variation (CV)1.6422833
Kurtosis11.092154
Mean5.262069
Median Absolute Deviation (MAD)1
Skewness3.1543981
Sum763
Variance74.680843
MonotonicityNot monotonic
2024-04-21T11:46:26.029644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 43
29.7%
2 31
21.4%
0 14
 
9.7%
3 9
 
6.2%
4 8
 
5.5%
8 6
 
4.1%
6 5
 
3.4%
5 4
 
2.8%
10 3
 
2.1%
9 3
 
2.1%
Other values (15) 19
13.1%
ValueCountFrequency (%)
0 14
 
9.7%
1 43
29.7%
2 31
21.4%
3 9
 
6.2%
4 8
 
5.5%
5 4
 
2.8%
6 5
 
3.4%
7 1
 
0.7%
8 6
 
4.1%
9 3
 
2.1%
ValueCountFrequency (%)
53 1
0.7%
42 1
0.7%
39 2
1.4%
32 1
0.7%
28 1
0.7%
27 1
0.7%
23 1
0.7%
21 1
0.7%
20 1
0.7%
16 2
1.4%

여성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46896552
Minimum0
Maximum5
Zeros101
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T11:46:26.217069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.95054935
Coefficient of variation (CV)2.0269067
Kurtosis9.4894284
Mean0.46896552
Median Absolute Deviation (MAD)0
Skewness2.9186835
Sum68
Variance0.90354406
MonotonicityNot monotonic
2024-04-21T11:46:26.399060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 101
69.7%
1 34
 
23.4%
4 3
 
2.1%
2 3
 
2.1%
3 2
 
1.4%
5 2
 
1.4%
ValueCountFrequency (%)
0 101
69.7%
1 34
 
23.4%
2 3
 
2.1%
3 2
 
1.4%
4 3
 
2.1%
5 2
 
1.4%
ValueCountFrequency (%)
5 2
 
1.4%
4 3
 
2.1%
3 2
 
1.4%
2 3
 
2.1%
1 34
 
23.4%
0 101
69.7%

여성용-어린이용대변기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
140 
2
 
2
1
 
1
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 140
96.6%
2 2
 
1.4%
1 1
 
0.7%
3 1
 
0.7%
4 1
 
0.7%

Length

2024-04-21T11:46:26.605867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:26.791161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 140
96.6%
2 2
 
1.4%
1 1
 
0.7%
3 1
 
0.7%
4 1
 
0.7%

관리기관명
Text

Distinct116
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T11:46:27.523350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.062069
Min length3

Characters and Unicode

Total characters1169
Distinct characters187
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

Unique108 ?
Unique (%)74.5%

Sample

1st row(주)기분좋은 주유소
2nd row(주)브라보 주유소
3rd row(주)코리아와이드 대구북부
4th rowe편한주유소
5th row서구청 도시공원과
ValueCountFrequency (%)
서구청 33
 
15.6%
행정복지센터 15
 
7.1%
도시공원과 11
 
5.2%
경제과 11
 
5.2%
주유소 4
 
1.9%
대구도시철도공사 4
 
1.9%
서구문화회관 3
 
1.4%
상인회 3
 
1.4%
경제과/서부시장 3
 
1.4%
문화홍보과 3
 
1.4%
Other values (116) 122
57.5%
2024-04-21T11:46:28.736886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
5.7%
서 63
 
5.4%
구 62
 
5.3%
소 49
 
4.2%
주 42
 
3.6%
유 39
 
3.3%
청 38
 
3.3%
과 37
 
3.2%
지 30
 
2.6%
터 27
 
2.3%
Other values (177) 715
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1029
88.0%
Space Separator 67
 
5.7%
Decimal Number 33
 
2.8%
Uppercase Letter 14
 
1.2%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Other Punctuation 6
 
0.5%
Lowercase Letter 5
 
0.4%
Other Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 63
 
6.1%
구 62
 
6.0%
소 49
 
4.8%
주 42
 
4.1%
유 39
 
3.8%
청 38
 
3.7%
과 37
 
3.6%
지 30
 
2.9%
터 27
 
2.6%
센 26
 
2.5%
Other values (150) 616
59.9%
Decimal Number
ValueCountFrequency (%)
1 11
33.3%
2 6
18.2%
3 4
 
12.1%
4 3
 
9.1%
5 2
 
6.1%
6 2
 
6.1%
7 2
 
6.1%
9 2
 
6.1%
0 1
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
L 3
21.4%
I 3
21.4%
P 2
14.3%
G 2
14.3%
C 2
14.3%
O 1
 
7.1%
S 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
l 1
20.0%
s 1
20.0%
f 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
50.0%
, 3
50.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1031
88.2%
Common 119
 
10.2%
Latin 19
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 63
 
6.1%
구 62
 
6.0%
소 49
 
4.8%
주 42
 
4.1%
유 39
 
3.8%
청 38
 
3.7%
과 37
 
3.6%
지 30
 
2.9%
터 27
 
2.6%
센 26
 
2.5%
Other values (151) 618
59.9%
Common
ValueCountFrequency (%)
67
56.3%
1 11
 
9.2%
2 6
 
5.0%
) 6
 
5.0%
( 6
 
5.0%
3 4
 
3.4%
/ 3
 
2.5%
, 3
 
2.5%
4 3
 
2.5%
5 2
 
1.7%
Other values (5) 8
 
6.7%
Latin
ValueCountFrequency (%)
L 3
15.8%
I 3
15.8%
P 2
10.5%
G 2
10.5%
C 2
10.5%
e 2
10.5%
l 1
 
5.3%
s 1
 
5.3%
f 1
 
5.3%
O 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1029
88.0%
ASCII 138
 
11.8%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
48.6%
1 11
 
8.0%
2 6
 
4.3%
) 6
 
4.3%
( 6
 
4.3%
3 4
 
2.9%
L 3
 
2.2%
I 3
 
2.2%
/ 3
 
2.2%
, 3
 
2.2%
Other values (16) 26
 
18.8%
Hangul
ValueCountFrequency (%)
서 63
 
6.1%
구 62
 
6.0%
소 49
 
4.8%
주 42
 
4.1%
유 39
 
3.8%
청 38
 
3.7%
과 37
 
3.6%
지 30
 
2.9%
터 27
 
2.6%
센 26
 
2.5%
Other values (150) 616
59.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

전화번호
Text

Distinct116
Distinct (%)80.6%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2024-04-21T11:46:29.504655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1728
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

Unique107 ?
Unique (%)74.3%

Sample

1st row053-563-2222
2nd row053-551-8851
3rd row053-111-1111
4th row053-563-5775
5th row053-663-2826
ValueCountFrequency (%)
053-663-2645 13
 
9.0%
053-663-2826 10
 
6.9%
053-663-3303 2
 
1.4%
053-663-2173 2
 
1.4%
053-663-2654 2
 
1.4%
053-663-3091 2
 
1.4%
053-663-2142 2
 
1.4%
053-327-1669 2
 
1.4%
053-555-4848 2
 
1.4%
053-714-1234 1
 
0.7%
Other values (106) 106
73.6%
2024-04-21T11:46:30.505418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 314
18.2%
5 300
17.4%
- 288
16.7%
0 228
13.2%
6 214
12.4%
2 109
 
6.3%
1 104
 
6.0%
8 51
 
3.0%
4 48
 
2.8%
7 44
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1440
83.3%
Dash Punctuation 288
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 314
21.8%
5 300
20.8%
0 228
15.8%
6 214
14.9%
2 109
 
7.6%
1 104
 
7.2%
8 51
 
3.5%
4 48
 
3.3%
7 44
 
3.1%
9 28
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 314
18.2%
5 300
17.4%
- 288
16.7%
0 228
13.2%
6 214
12.4%
2 109
 
6.3%
1 104
 
6.0%
8 51
 
3.0%
4 48
 
2.8%
7 44
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 314
18.2%
5 300
17.4%
- 288
16.7%
0 228
13.2%
6 214
12.4%
2 109
 
6.3%
1 104
 
6.0%
8 51
 
3.0%
4 48
 
2.8%
7 44
 
2.5%

개방시간
Categorical

Distinct37
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
09:00~18:00
60 
00:00~24:00
10 
00:00~23:50
10 
07:00~23:00
8 
06:00~23:00
 
6
Other values (32)
51 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique20 ?
Unique (%)13.8%

Sample

1st row07:00~22:00
2nd row07:20~22:00
3rd row06:00~22:50
4th row07:10~22:30
5th row00:00~24.00

Common Values

ValueCountFrequency (%)
09:00~18:00 60
41.4%
00:00~24:00 10
 
6.9%
00:00~23:50 10
 
6.9%
07:00~23:00 8
 
5.5%
06:00~23:00 6
 
4.1%
07:00~22:00 6
 
4.1%
10:00~18:00 3
 
2.1%
08:00~22:00 3
 
2.1%
09:00~21:00 3
 
2.1%
09:00~20:00 2
 
1.4%
Other values (27) 34
23.4%

Length

2024-04-21T11:46:30.756831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00~18:00 60
41.4%
00:00~23:50 10
 
6.9%
00:00~24:00 10
 
6.9%
07:00~23:00 8
 
5.5%
06:00~23:00 6
 
4.1%
07:00~22:00 6
 
4.1%
10:00~18:00 3
 
2.1%
08:00~22:00 3
 
2.1%
09:00~21:00 3
 
2.1%
06:00~22:50 2
 
1.4%
Other values (27) 34
23.4%

설치연월
Date

Distinct30
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1968-01-01 00:00:00
Maximum2020-07-01 00:00:00
2024-04-21T11:46:30.954732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:46:31.172471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

위도
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)99.2%
Missing13
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean35.872703
Minimum35.85809
Maximum35.891808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T11:46:31.411981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.85809
5-th percentile35.859805
Q135.866934
median35.872378
Q335.878876
95-th percentile35.88658
Maximum35.891808
Range0.03371733
Interquartile range (IQR)0.011941545

Descriptive statistics

Standard deviation0.00817449
Coefficient of variation (CV)0.00022787494
Kurtosis-0.70838481
Mean35.872703
Median Absolute Deviation (MAD)0.0064522
Skewness0.19592626
Sum4735.1969
Variance6.6822286 × 10-5
MonotonicityNot monotonic
2024-04-21T11:46:31.668526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87232204 2
 
1.4%
35.88324508 1
 
0.7%
35.86181277 1
 
0.7%
35.87656856 1
 
0.7%
35.8766588 1
 
0.7%
35.88188228 1
 
0.7%
35.88050846 1
 
0.7%
35.88522547 1
 
0.7%
35.86818253 1
 
0.7%
35.88553612 1
 
0.7%
Other values (121) 121
83.4%
(Missing) 13
 
9.0%
ValueCountFrequency (%)
35.85809019 1
0.7%
35.85868016 1
0.7%
35.85879037 1
0.7%
35.8589031 1
0.7%
35.85902046 1
0.7%
35.85933022 1
0.7%
35.8594207 1
0.7%
35.86012019 1
0.7%
35.86032209 1
0.7%
35.86073655 1
0.7%
ValueCountFrequency (%)
35.89180752 1
0.7%
35.88990491 1
0.7%
35.88972103 1
0.7%
35.88838578 1
0.7%
35.88796435 1
0.7%
35.88778066 1
0.7%
35.88688929 1
0.7%
35.88632672 1
0.7%
35.88608903 1
0.7%
35.88572451 1
0.7%

경도
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)100.0%
Missing13
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean128.55735
Minimum128.52729
Maximum128.58137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T11:46:31.927972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.52729
5-th percentile128.53787
Q1128.54842
median128.55638
Q3128.56899
95-th percentile128.57477
Maximum128.58137
Range0.054082
Interquartile range (IQR)0.0205738

Descriptive statistics

Standard deviation0.012068979
Coefficient of variation (CV)9.3880117 × 10-5
Kurtosis-0.83748266
Mean128.55735
Median Absolute Deviation (MAD)0.0099355742
Skewness-0.11874676
Sum16969.57
Variance0.00014566026
MonotonicityNot monotonic
2024-04-21T11:46:32.201237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5707285 1
 
0.7%
128.5505504 1
 
0.7%
128.5532283 1
 
0.7%
128.5441376 1
 
0.7%
128.5559636 1
 
0.7%
128.5743308 1
 
0.7%
128.5748006 1
 
0.7%
128.5735017 1
 
0.7%
128.5776788 1
 
0.7%
128.5682759 1
 
0.7%
Other values (122) 122
84.1%
(Missing) 13
 
9.0%
ValueCountFrequency (%)
128.5272858 1
0.7%
128.5312543 1
0.7%
128.5358529 1
0.7%
128.5369607 1
0.7%
128.537166 1
0.7%
128.5373493 1
0.7%
128.5378675 1
0.7%
128.5378801 1
0.7%
128.5381112 1
0.7%
128.5383319 1
0.7%
ValueCountFrequency (%)
128.5813678 1
0.7%
128.5788835 1
0.7%
128.5776788 1
0.7%
128.5772126 1
0.7%
128.5771211 1
0.7%
128.5748006 1
0.7%
128.5747852 1
0.7%
128.5747532 1
0.7%
128.5745539 1
0.7%
128.5743308 1
0.7%

화장실소유구분
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
지방자치단체
94 
민간
49 
국가
 
1
공공기관
 
1

Length

Max length6
Median length6
Mean length4.6068966
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
지방자치단체 94
64.8%
민간 49
33.8%
국가 1
 
0.7%
공공기관 1
 
0.7%

Length

2024-04-21T11:46:32.488271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:32.836801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방자치단체 94
64.8%
민간 49
33.8%
국가 1
 
0.7%
공공기관 1
 
0.7%

화장실설치장소유형
Categorical

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
공공용시설
70 
주유소·충전소
40 
상업시설
16 
기타
9 
교통시설
 
5

Length

Max length7
Median length5
Mean length5.2896552
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공용시설 70
48.3%
주유소·충전소 40
27.6%
상업시설 16
 
11.0%
기타 9
 
6.2%
교통시설 5
 
3.4%
관광·체육시설 5
 
3.4%

Length

2024-04-21T11:46:33.213573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:33.559347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용시설 70
48.3%
주유소·충전소 40
27.6%
상업시설 16
 
11.0%
기타 9
 
6.2%
교통시설 5
 
3.4%
관광·체육시설 5
 
3.4%

오물처리방식
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
수세식
144 
수거식
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
수세식 144
99.3%
수거식 1
 
0.7%

Length

2024-04-21T11:46:33.951209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:34.266300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수세식 144
99.3%
수거식 1
 
0.7%

비상벨설치유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
없음
121 
여자
23 
남자
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
없음 121
83.4%
여자 23
 
15.9%
남자 1
 
0.7%

Length

2024-04-21T11:46:34.603323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:34.924034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 121
83.4%
여자 23
 
15.9%
남자 1
 
0.7%

화장실입구cctv설치유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size273.0 B
False
135 
True
 
10
ValueCountFrequency (%)
False 135
93.1%
True 10
 
6.9%
2024-04-21T11:46:35.218488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대장소
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
없음
130 
여자화장실
 
13
남자화장실+여자화장실
 
1
남자화장실
 
1

Length

Max length11
Median length2
Mean length2.3517241
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
없음 130
89.7%
여자화장실 13
 
9.0%
남자화장실+여자화장실 1
 
0.7%
남자화장실 1
 
0.7%

Length

2024-04-21T11:46:35.548977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:46:35.872114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 130
89.7%
여자화장실 13
 
9.0%
남자화장실+여자화장실 1
 
0.7%
남자화장실 1
 
0.7%

리모델링연월
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing144
Missing (%)99.3%
Memory size1.3 KiB
Minimum2005-01-01 00:00:00
Maximum2005-01-01 00:00:00
2024-04-21T11:46:36.169121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:46:36.466650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2020-12-22 00:00:00
Maximum2020-12-22 00:00:00
2024-04-21T11:46:36.771777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:46:37.084312image/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-어린이용대변기수관리기관명전화번호개방시간설치연월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치유형화장실입구cctv설치유무기저귀교환대장소리모델링연월데이터기준일자
0공중화장실(주)기분좋은 주유소대구광역시 서구 와룡로 420 (이현동)대구광역시 서구 이현동 44-106N210000200(주)기분좋은 주유소053-563-222207:00~22:002020-0135.870137128.538332민간주유소·충전소수세식없음N없음<NA>2020-12-22
1공중화장실(주)브라보 주유소대구광역시 서구 북비산로 95 (이현동)대구광역시 서구 이현동 33-14N110000100(주)브라보 주유소053-551-885107:20~22:001987-0135.878904128.543382민간주유소·충전소수세식없음N없음<NA>2020-12-22
2공중화장실(주)코리아와이드 대구북부(구. 북부정류장)대구광역시 서구 서대구로 295 (비산동)대구광역시 서구 비산동 1856-3N10161000910(주)코리아와이드 대구북부053-111-111106:00~22:501975-0135.885287128.555134민간교통시설수세식없음N없음<NA>2020-12-22
3공중화장실e편한주유소대구광역시 서구 평리로 317 (평리동)대구광역시 서구 평리동 1359-2N220000200e편한주유소053-563-577507:10~22:301992-0135.864189128.557941민간주유소·충전소수세식없음N없음<NA>2020-12-22
4공중화장실가르뱅이공원 화장실대구광역시 서구 상리동 산 264대구광역시 서구 상리동 산 264-1N021000210서구청 도시공원과053-663-282600:00~24.002020-01<NA><NA>지방자치단체공공용시설수세식여자N없음<NA>2020-12-22
5공중화장실감삼테니스장대구광역시 서구 서대구로3길 43대구광역시 서구 내당동 463-7N120000100서구청 문화홍보과053-663-217306:00~18:001989-0135.85868128.552166지방자치단체관광·체육시설수세식없음Y없음<NA>2020-12-22
6공중화장실고려주유소대구광역시 서구 국채보상로 77 (이현동)대구광역시 서구 이현동 44-130N120000200고려주유소053-524-518206:40~22:001979-0135.868926128.539743민간주유소·충전소수세식없음N없음<NA>2020-12-22
7공중화장실골든벨주유소대구광역시 서구 서대구로170 (평리동)대구광역시 서구 평리동 1086-4N120000100골든벨주유소053-556-555107:00~22:101995-0135.873091128.55528민간주유소·충전소수세식없음N없음<NA>2020-12-22
8공중화장실공단역대구광역시 서구 팔달로 28대구광역시 서구 비산동 1705-2N221100100대구도시철도공사053-327-166800:00~23:502020-0135.891808128.553603지방자치단체교통시설수세식여자N여자화장실<NA>2020-12-22
9공중화장실공원(경부선 철로변)대구광역시 서구 평리동 286-17대구광역시 서구 평리동 286-17N021000010서구청 도시공원과053-663-282600:00~24:002020-01<NA><NA>지방자치단체공공용시설수세식여자N없음<NA>2020-12-22
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치유형화장실입구cctv설치유무기저귀교환대장소리모델링연월데이터기준일자
135공중화장실한국섬유개발연구원대구광역시 서구 국채보상로 136대구광역시 서구 중리동 1083N456800005300한국섬유개발연구원053-560-660009:00~18:001996-0135.868207128.546094지방자치단체공공용시설수세식없음N없음<NA>2020-12-22
136공중화장실한국업사이클센터대구광역시 서구 국채보상로 243 (평리동)대구광역시 서구 평리동 1301N6600001300한국업사이클센터053-719-606609:00~18:002020-0135.871471128.557658지방자치단체공공용시설수세식없음N없음<NA>2020-12-22
137공중화장실한국전력 서대구지점대구광역시 서구 달서로 85대구광역시 서구 비산동 312-7N590000600한국전력 서대구점053-123-111109:00~18:001993-0135.869859128.570564지방자치단체공공용시설수세식없음N없음<NA>2020-12-22
138공중화장실한국제1주유소대구광역시 서구 당산로 414 (평리동)대구광역시 서구 평리동 1481-11N210000200한국제1주유소053-565-537707:00~22:301994-0135.873327128.547092민간주유소·충전소수세식없음N없음<NA>2020-12-22
139공중화장실합천주유소대구광역시 서구 염색공단천로 78 (비산동)대구광역시 서구 비산동 2043-16N220000100합천주유소053-356-101007:30~22:001993-0135.889721128.545081민간주유소·충전소수세식없음N없음<NA>2020-12-22
140공중화장실행복제1주유소대구광역시 서구 고성로 104 (원대동1가)대구광역시 서구 원대동1가 208N110000200행복제1주유소053-356-195106:00~23:001994-0135.882296128.577213민간주유소·충전소수세식없음N없음<NA>2020-12-22
141공중화장실행복주유소대구광역시 서구 국채보상로 122 (중리동)대구광역시 서구 중리동 1082-7N110000100행복주유소053-523-518906:00~23:001993-0135.868604128.544338민간주유소·충전소수세식없음N없음<NA>2020-12-22
142공중화장실홈플러스 내당점대구광역시 서구 달구벌대로 1821 (내당동)대구광역시 서구 내당동 65-6N9910001200홈플러스 내당점053-567-208010:00~23:001987-0135.860322128.563732민간상업시설수세식없음N여자화장실<NA>2020-12-22
143공중화장실화성가스(주)대구광역시 서구 와룡로 346 (중리동)대구광역시 서구 중리동 1120-1N220000100S-OIL 화성가스충전소053-565-022108:00~22:001980-0135.863485128.53788민간주유소·충전소수세식없음N없음<NA>2020-12-22
144공중화장실화성제일주유소대구광역시 서구 국채보상로 355-1 (비산동)대구광역시 서구 비산동 372-1N110000100화성제일주유소053-523-510008:00~22:002020-0135.87245128.569936민간주유소·충전소수세식없음N없음<NA>2020-12-22