Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells86914
Missing cells (%)29.0%
Duplicate rows104
Duplicate rows (%)1.0%
Total size in memory2.5 MiB
Average record size in memory264.0 B

Variable types

Categorical1
Text7
Boolean1
Numeric9
Unsupported11
DateTime1

Dataset

Description- 공공데이터 제공 표준 기준, 지자체에서 관리하는 공중화장실정보 화장실명, 주소, 개방시간 등을 제공<br/>- 링크된 페이지의 데이터기준일자 상단 EXCEL버튼(초록색)을 클릭하여 데이터 다운로드 가능 「공중화장실 등에 관한 법률」 등에 따라 국민의 위생상의 편의와 복지증진을 위해 공중이 이용하도록 국가, 지방자치단체, 법인 또는 개인이 설치하는 화장실에 대한 정보(지방자치단체 관리 대상 개방화장실, 공중화장실, 이동화장실 등 (포함), 초등학교, 주응학교 등 학교 화장실은 제공범위(대상) 제외)
Author행정안전부
URLhttps://www.data.go.kr/data/15012892/standard.do

Alerts

Dataset has 104 (1.0%) duplicate rowsDuplicates
소재지도로명주소 has 2112 (21.1%) missing valuesMissing
소재지지번주소 has 2181 (21.8%) missing valuesMissing
전화번호 has 2465 (24.6%) missing valuesMissing
설치연도 has 6143 (61.4%) missing valuesMissing
위도 has 2007 (20.1%) missing valuesMissing
경도 has 2006 (20.1%) missing valuesMissing
화장실소유구분 has 10000 (100.0%) missing valuesMissing
화장실설치장소유형 has 10000 (100.0%) missing valuesMissing
오물처리방식 has 10000 (100.0%) missing valuesMissing
비상벨설치유형 has 10000 (100.0%) missing valuesMissing
화장실입구CCTV설치유무 has 10000 (100.0%) missing valuesMissing
기저귀교환대장소 has 10000 (100.0%) missing valuesMissing
리모델링연월 has 10000 (100.0%) missing valuesMissing
남성용-대변기수 is highly skewed (γ1 = 30.69341042)Skewed
남성용-소변기수 is highly skewed (γ1 = 26.15925047)Skewed
여성용-대변기수 is highly skewed (γ1 = 22.12466908)Skewed
여성용-장애인용대변기수 is highly skewed (γ1 = 20.73636467)Skewed
여성용-어린이용대변기수 is highly skewed (γ1 = 29.94965571)Skewed
남성용-어린이용대변기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성용-어린이용소변기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설치연도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
화장실소유구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
화장실설치장소유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
오물처리방식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상벨설치유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
화장실입구CCTV설치유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기저귀교환대장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
리모델링연월 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공기관코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성용-대변기수 has 924 (9.2%) zerosZeros
남성용-소변기수 has 990 (9.9%) zerosZeros
남성용-장애인용대변기수 has 6815 (68.2%) zerosZeros
남성용-장애인용소변기수 has 8732 (87.3%) zerosZeros
여성용-대변기수 has 938 (9.4%) zerosZeros
여성용-장애인용대변기수 has 6912 (69.1%) zerosZeros
여성용-어린이용대변기수 has 9518 (95.2%) zerosZeros

Reproduction

Analysis started2023-12-12 06:43:12.282619
Analysis finished2023-12-12 06:43:14.427442
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공중화장실
7251 
개방화장실
2089 
간이화장실
 
482
이동화장실
 
178

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공중화장실 7251
72.5%
개방화장실 2089
 
20.9%
간이화장실 482
 
4.8%
이동화장실 178
 
1.8%

Length

2023-12-12T15:43:14.504809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:43:14.648726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공중화장실 7251
72.5%
개방화장실 2089
 
20.9%
간이화장실 482
 
4.8%
이동화장실 178
 
1.8%

화장실명
Text

Distinct9337
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:43:14.937881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length7.8255
Min length2

Characters and Unicode

Total characters78255
Distinct characters798
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8791 ?
Unique (%)87.9%

Sample

1st row방축리 주차장
2nd row고향순대(천지동)(폭포수노래방)
3rd row새재도립공원(관리사무소)
4th row대륜중학교
5th row만남의광장 공중화장실
ValueCountFrequency (%)
화장실 747
 
5.4%
공중화장실 335
 
2.4%
앞 73
 
0.5%
주차장 62
 
0.4%
옆 61
 
0.4%
1층 59
 
0.4%
주민센터 55
 
0.4%
입구 43
 
0.3%
행정복지센터 43
 
0.3%
주유소 38
 
0.3%
Other values (10119) 12271
89.0%
2023-12-12T15:43:15.435137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3811
 
4.9%
장 3389
 
4.3%
화 2259
 
2.9%
소 2155
 
2.8%
공 2076
 
2.7%
주 2007
 
2.6%
원 1971
 
2.5%
실 1899
 
2.4%
유 1386
 
1.8%
동 1351
 
1.7%
Other values (788) 55951
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69549
88.9%
Space Separator 3811
 
4.9%
Decimal Number 1648
 
2.1%
Close Punctuation 1112
 
1.4%
Open Punctuation 1112
 
1.4%
Uppercase Letter 613
 
0.8%
Other Symbol 99
 
0.1%
Other Punctuation 93
 
0.1%
Lowercase Letter 92
 
0.1%
Dash Punctuation 91
 
0.1%
Other values (5) 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3389
 
4.9%
화 2259
 
3.2%
소 2155
 
3.1%
공 2076
 
3.0%
주 2007
 
2.9%
원 1971
 
2.8%
실 1899
 
2.7%
유 1386
 
2.0%
동 1351
 
1.9%
산 1093
 
1.6%
Other values (716) 49963
71.8%
Uppercase Letter
ValueCountFrequency (%)
S 81
13.2%
K 73
11.9%
C 62
10.1%
G 59
9.6%
B 48
7.8%
A 46
7.5%
I 41
 
6.7%
P 37
 
6.0%
L 34
 
5.5%
T 28
 
4.6%
Other values (15) 104
17.0%
Lowercase Letter
ValueCountFrequency (%)
s 20
21.7%
k 12
13.0%
l 11
12.0%
g 8
 
8.7%
e 7
 
7.6%
i 6
 
6.5%
f 5
 
5.4%
t 4
 
4.3%
m 3
 
3.3%
n 3
 
3.3%
Other values (8) 13
14.1%
Decimal Number
ValueCountFrequency (%)
1 659
40.0%
2 443
26.9%
3 185
 
11.2%
5 87
 
5.3%
4 86
 
5.2%
9 62
 
3.8%
8 37
 
2.2%
6 37
 
2.2%
0 27
 
1.6%
7 25
 
1.5%
Other Punctuation
ValueCountFrequency (%)
? 29
31.2%
, 27
29.0%
. 14
15.1%
· 8
 
8.6%
& 7
 
7.5%
/ 6
 
6.5%
@ 2
 
2.2%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
= 1
 
25.0%
Other Number
ValueCountFrequency (%)
② 3
60.0%
① 2
40.0%
Space Separator
ValueCountFrequency (%)
3811
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1112
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69647
89.0%
Common 7899
 
10.1%
Latin 708
 
0.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3389
 
4.9%
화 2259
 
3.2%
소 2155
 
3.1%
공 2076
 
3.0%
주 2007
 
2.9%
원 1971
 
2.8%
실 1899
 
2.7%
유 1386
 
2.0%
동 1351
 
1.9%
산 1093
 
1.6%
Other values (716) 50061
71.9%
Latin
ValueCountFrequency (%)
S 81
11.4%
K 73
 
10.3%
C 62
 
8.8%
G 59
 
8.3%
B 48
 
6.8%
A 46
 
6.5%
I 41
 
5.8%
P 37
 
5.2%
L 34
 
4.8%
T 28
 
4.0%
Other values (34) 199
28.1%
Common
ValueCountFrequency (%)
3811
48.2%
) 1112
 
14.1%
( 1112
 
14.1%
1 659
 
8.3%
2 443
 
5.6%
3 185
 
2.3%
- 91
 
1.2%
5 87
 
1.1%
4 86
 
1.1%
9 62
 
0.8%
Other values (17) 251
 
3.2%
Han
ValueCountFrequency (%)
下 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69547
88.9%
ASCII 8591
 
11.0%
None 107
 
0.1%
Enclosed Alphanum 5
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3811
44.4%
) 1112
 
12.9%
( 1112
 
12.9%
1 659
 
7.7%
2 443
 
5.2%
3 185
 
2.2%
- 91
 
1.1%
5 87
 
1.0%
4 86
 
1.0%
S 81
 
0.9%
Other values (57) 924
 
10.8%
Hangul
ValueCountFrequency (%)
장 3389
 
4.9%
화 2259
 
3.2%
소 2155
 
3.1%
공 2076
 
3.0%
주 2007
 
2.9%
원 1971
 
2.8%
실 1899
 
2.7%
유 1386
 
2.0%
동 1351
 
1.9%
산 1093
 
1.6%
Other values (714) 49961
71.8%
None
ValueCountFrequency (%)
㈜ 99
92.5%
· 8
 
7.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
60.0%
① 2
40.0%
CJK
ValueCountFrequency (%)
下 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct7095
Distinct (%)89.9%
Missing2112
Missing (%)21.1%
Memory size156.2 KiB
2023-12-12T15:43:15.908763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length21.948783
Min length6

Characters and Unicode

Total characters173132
Distinct characters569
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

Unique6540 ?
Unique (%)82.9%

Sample

1st row제주특별자치도 서귀포시 천지로 23
2nd row경상북도 문경시 문경읍 새재로 932
3rd row대구광역시 수성구 달구벌대로 2700, (만촌동)
4th row충청남도 보령시 대해로 889
5th row대구광역시 달서구 달구벌대로 1152 (신당동)
ValueCountFrequency (%)
경기도 1698
 
4.5%
대구광역시 1261
 
3.3%
충청북도 684
 
1.8%
전라남도 519
 
1.4%
경상남도 518
 
1.4%
서울특별시 515
 
1.4%
경상북도 502
 
1.3%
고양시 461
 
1.2%
강원도 454
 
1.2%
충청남도 393
 
1.0%
Other values (9377) 31087
81.6%
2023-12-12T15:43:16.575736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30224
 
17.5%
시 6408
 
3.7%
로 6046
 
3.5%
도 5681
 
3.3%
1 5229
 
3.0%
구 5167
 
3.0%
동 4655
 
2.7%
2 3595
 
2.1%
경 2954
 
1.7%
대 2895
 
1.7%
Other values (559) 100278
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109364
63.2%
Space Separator 30224
 
17.5%
Decimal Number 25716
 
14.9%
Open Punctuation 2793
 
1.6%
Close Punctuation 2793
 
1.6%
Dash Punctuation 1464
 
0.8%
Other Punctuation 704
 
0.4%
Uppercase Letter 65
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6408
 
5.9%
로 6046
 
5.5%
도 5681
 
5.2%
구 5167
 
4.7%
동 4655
 
4.3%
경 2954
 
2.7%
대 2895
 
2.6%
광 2799
 
2.6%
산 2777
 
2.5%
길 2278
 
2.1%
Other values (524) 67704
61.9%
Decimal Number
ValueCountFrequency (%)
1 5229
20.3%
2 3595
14.0%
3 2793
10.9%
4 2412
9.4%
5 2322
9.0%
6 1991
 
7.7%
7 1977
 
7.7%
0 1963
 
7.6%
8 1748
 
6.8%
9 1686
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
S 24
36.9%
K 13
20.0%
G 11
16.9%
I 5
 
7.7%
A 3
 
4.6%
O 2
 
3.1%
B 2
 
3.1%
L 2
 
3.1%
H 2
 
3.1%
C 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
25.0%
i 2
25.0%
k 1
12.5%
n 1
12.5%
a 1
12.5%
o 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 2792
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2792
> 99.9%
] 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 702
99.7%
. 2
 
0.3%
Space Separator
ValueCountFrequency (%)
30224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1464
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109364
63.2%
Common 63694
36.8%
Latin 74
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6408
 
5.9%
로 6046
 
5.5%
도 5681
 
5.2%
구 5167
 
4.7%
동 4655
 
4.3%
경 2954
 
2.7%
대 2895
 
2.6%
광 2799
 
2.6%
산 2777
 
2.5%
길 2278
 
2.1%
Other values (524) 67704
61.9%
Common
ValueCountFrequency (%)
30224
47.5%
1 5229
 
8.2%
2 3595
 
5.6%
3 2793
 
4.4%
( 2792
 
4.4%
) 2792
 
4.4%
4 2412
 
3.8%
5 2322
 
3.6%
6 1991
 
3.1%
7 1977
 
3.1%
Other values (8) 7567
 
11.9%
Latin
ValueCountFrequency (%)
S 24
32.4%
K 13
17.6%
G 11
14.9%
I 5
 
6.8%
A 3
 
4.1%
l 2
 
2.7%
O 2
 
2.7%
i 2
 
2.7%
B 2
 
2.7%
L 2
 
2.7%
Other values (7) 8
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109364
63.2%
ASCII 63767
36.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30224
47.4%
1 5229
 
8.2%
2 3595
 
5.6%
3 2793
 
4.4%
( 2792
 
4.4%
) 2792
 
4.4%
4 2412
 
3.8%
5 2322
 
3.6%
6 1991
 
3.1%
7 1977
 
3.1%
Other values (24) 7640
 
12.0%
Hangul
ValueCountFrequency (%)
시 6408
 
5.9%
로 6046
 
5.5%
도 5681
 
5.2%
구 5167
 
4.7%
동 4655
 
4.3%
경 2954
 
2.7%
대 2895
 
2.6%
광 2799
 
2.6%
산 2777
 
2.5%
길 2278
 
2.1%
Other values (524) 67704
61.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct7202
Distinct (%)92.1%
Missing2181
Missing (%)21.8%
Memory size156.2 KiB
2023-12-12T15:43:17.000374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length20.269983
Min length11

Characters and Unicode

Total characters158491
Distinct characters453
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

Unique6723 ?
Unique (%)86.0%

Sample

1st row전라남도 신안군 증도면 방축리 953-3
2nd row제주특별자치도 서귀포시 서귀동 309-38
3rd row경상북도 문경시 문경읍 상초리 288-1
4th row대구광역시 수성구 만촌동 산241
5th row충청남도 보령시 신흑동 2109
ValueCountFrequency (%)
경기도 1842
 
5.1%
대구광역시 1034
 
2.9%
충청북도 668
 
1.9%
경상북도 617
 
1.7%
고양시 539
 
1.5%
전라남도 512
 
1.4%
경상남도 508
 
1.4%
전라북도 487
 
1.3%
강원도 451
 
1.2%
서울특별시 405
 
1.1%
Other values (9679) 29019
80.4%
2023-12-12T15:43:17.539740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28282
 
17.8%
1 6353
 
4.0%
도 5899
 
3.7%
시 5728
 
3.6%
동 5550
 
3.5%
- 4836
 
3.1%
구 4358
 
2.7%
2 3754
 
2.4%
리 3611
 
2.3%
3 3173
 
2.0%
Other values (443) 86947
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95503
60.3%
Decimal Number 29642
 
18.7%
Space Separator 28282
 
17.8%
Dash Punctuation 4836
 
3.1%
Close Punctuation 97
 
0.1%
Open Punctuation 93
 
0.1%
Other Punctuation 25
 
< 0.1%
Uppercase Letter 9
 
< 0.1%
Connector Punctuation 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 5899
 
6.2%
시 5728
 
6.0%
동 5550
 
5.8%
구 4358
 
4.6%
리 3611
 
3.8%
경 3114
 
3.3%
산 3031
 
3.2%
군 2610
 
2.7%
면 2505
 
2.6%
광 2446
 
2.6%
Other values (417) 56651
59.3%
Decimal Number
ValueCountFrequency (%)
1 6353
21.4%
2 3754
12.7%
3 3173
10.7%
5 2753
9.3%
4 2707
9.1%
6 2442
 
8.2%
7 2285
 
7.7%
8 2210
 
7.5%
0 2047
 
6.9%
9 1918
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
I 4
44.4%
S 2
22.2%
K 1
 
11.1%
A 1
 
11.1%
G 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 17
68.0%
/ 4
 
16.0%
@ 3
 
12.0%
. 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 96
99.0%
] 1
 
1.0%
Space Separator
ValueCountFrequency (%)
28282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4836
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95503
60.3%
Common 62978
39.7%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 5899
 
6.2%
시 5728
 
6.0%
동 5550
 
5.8%
구 4358
 
4.6%
리 3611
 
3.8%
경 3114
 
3.3%
산 3031
 
3.2%
군 2610
 
2.7%
면 2505
 
2.6%
광 2446
 
2.6%
Other values (417) 56651
59.3%
Common
ValueCountFrequency (%)
28282
44.9%
1 6353
 
10.1%
- 4836
 
7.7%
2 3754
 
6.0%
3 3173
 
5.0%
5 2753
 
4.4%
4 2707
 
4.3%
6 2442
 
3.9%
7 2285
 
3.6%
8 2210
 
3.5%
Other values (10) 4183
 
6.6%
Latin
ValueCountFrequency (%)
I 4
40.0%
S 2
20.0%
K 1
 
10.0%
Ⅱ 1
 
10.0%
A 1
 
10.0%
G 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95503
60.3%
ASCII 62987
39.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28282
44.9%
1 6353
 
10.1%
- 4836
 
7.7%
2 3754
 
6.0%
3 3173
 
5.0%
5 2753
 
4.4%
4 2707
 
4.3%
6 2442
 
3.9%
7 2285
 
3.6%
8 2210
 
3.5%
Other values (15) 4192
 
6.7%
Hangul
ValueCountFrequency (%)
도 5899
 
6.2%
시 5728
 
6.0%
동 5550
 
5.8%
구 4358
 
4.6%
리 3611
 
3.8%
경 3114
 
3.3%
산 3031
 
3.2%
군 2610
 
2.7%
면 2505
 
2.6%
광 2446
 
2.6%
Other values (417) 56651
59.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

남녀공용화장실여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8538 
True
1462 
ValueCountFrequency (%)
False 8538
85.4%
True 1462
 
14.6%
2023-12-12T15:43:17.910375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

SKEWED  ZEROS 

Distinct89
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1927
Minimum0
Maximum806
Zeros924
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:18.028084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile16
Maximum806
Range806
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.964898
Coefficient of variation (CV)3.0922551
Kurtosis1603.1307
Mean4.1927
Median Absolute Deviation (MAD)1
Skewness30.69341
Sum41927
Variance168.08858
MonotonicityNot monotonic
2023-12-12T15:43:18.208997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3387
33.9%
2 2371
23.7%
3 1022
 
10.2%
0 924
 
9.2%
4 486
 
4.9%
5 268
 
2.7%
6 244
 
2.4%
8 140
 
1.4%
10 122
 
1.2%
7 119
 
1.2%
Other values (79) 917
 
9.2%
ValueCountFrequency (%)
0 924
 
9.2%
1 3387
33.9%
2 2371
23.7%
3 1022
 
10.2%
4 486
 
4.9%
5 268
 
2.7%
6 244
 
2.4%
7 119
 
1.2%
8 140
 
1.4%
9 105
 
1.1%
ValueCountFrequency (%)
806 1
< 0.1%
336 1
< 0.1%
331 2
< 0.1%
184 1
< 0.1%
174 1
< 0.1%
166 1
< 0.1%
150 1
< 0.1%
131 1
< 0.1%
128 1
< 0.1%
119 1
< 0.1%

남성용-소변기수
Real number (ℝ)

SKEWED  ZEROS 

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.671
Minimum0
Maximum1036
Zeros990
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:18.392376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile21
Maximum1036
Range1036
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.173035
Coefficient of variation (CV)3.2045556
Kurtosis1191.5121
Mean5.671
Median Absolute Deviation (MAD)1
Skewness26.15925
Sum56710
Variance330.25918
MonotonicityNot monotonic
2023-12-12T15:43:18.566125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2385
23.8%
1 2201
22.0%
3 1356
13.6%
0 990
9.9%
4 748
 
7.5%
5 380
 
3.8%
6 320
 
3.2%
8 173
 
1.7%
7 138
 
1.4%
10 132
 
1.3%
Other values (101) 1177
11.8%
ValueCountFrequency (%)
0 990
9.9%
1 2201
22.0%
2 2385
23.8%
3 1356
13.6%
4 748
 
7.5%
5 380
 
3.8%
6 320
 
3.2%
7 138
 
1.4%
8 173
 
1.7%
9 120
 
1.2%
ValueCountFrequency (%)
1036 1
< 0.1%
543 1
< 0.1%
434 1
< 0.1%
357 2
< 0.1%
290 1
< 0.1%
286 1
< 0.1%
249 1
< 0.1%
217 1
< 0.1%
202 1
< 0.1%
180 1
< 0.1%

남성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4936
Minimum0
Maximum41
Zeros6815
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:18.697845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum41
Range41
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3547482
Coefficient of variation (CV)2.7446276
Kurtosis253.82482
Mean0.4936
Median Absolute Deviation (MAD)0
Skewness11.968967
Sum4936
Variance1.8353426
MonotonicityNot monotonic
2023-12-12T15:43:18.839341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 6815
68.2%
1 2547
 
25.5%
2 353
 
3.5%
3 89
 
0.9%
4 61
 
0.6%
5 34
 
0.3%
6 28
 
0.3%
7 23
 
0.2%
9 12
 
0.1%
10 9
 
0.1%
Other values (16) 29
 
0.3%
ValueCountFrequency (%)
0 6815
68.2%
1 2547
 
25.5%
2 353
 
3.5%
3 89
 
0.9%
4 61
 
0.6%
5 34
 
0.3%
6 28
 
0.3%
7 23
 
0.2%
8 6
 
0.1%
9 12
 
0.1%
ValueCountFrequency (%)
41 2
< 0.1%
32 1
< 0.1%
29 1
< 0.1%
26 1
< 0.1%
22 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%
17 1
< 0.1%
16 1
< 0.1%

남성용-장애인용소변기수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.246
Minimum0
Maximum51
Zeros8732
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:18.998736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6103861
Coefficient of variation (CV)6.5462849
Kurtosis450.50804
Mean0.246
Median Absolute Deviation (MAD)0
Skewness18.978784
Sum2460
Variance2.5933433
MonotonicityNot monotonic
2023-12-12T15:43:19.117371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 8732
87.3%
1 1024
 
10.2%
2 116
 
1.2%
3 44
 
0.4%
4 16
 
0.2%
6 11
 
0.1%
5 9
 
0.1%
7 5
 
0.1%
8 4
 
< 0.1%
9 4
 
< 0.1%
Other values (22) 35
 
0.4%
ValueCountFrequency (%)
0 8732
87.3%
1 1024
 
10.2%
2 116
 
1.2%
3 44
 
0.4%
4 16
 
0.2%
5 9
 
0.1%
6 11
 
0.1%
7 5
 
0.1%
8 4
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
51 1
< 0.1%
50 1
< 0.1%
45 1
< 0.1%
41 1
< 0.1%
38 1
< 0.1%
37 1
< 0.1%
35 1
< 0.1%
33 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%

남성용-어린이용대변기수
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

남성용-어린이용소변기수
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

여성용-대변기수
Real number (ℝ)

SKEWED  ZEROS 

Distinct122
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2359
Minimum0
Maximum951
Zeros938
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:19.249618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile24
Maximum951
Range951
Interquartile range (IQR)4

Descriptive statistics

Standard deviation17.688933
Coefficient of variation (CV)2.8366287
Kurtosis931.85533
Mean6.2359
Median Absolute Deviation (MAD)1
Skewness22.124669
Sum62359
Variance312.89834
MonotonicityNot monotonic
2023-12-12T15:43:19.383014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2122
21.2%
1 2084
20.8%
3 1215
12.2%
0 938
9.4%
4 732
 
7.3%
5 504
 
5.0%
6 447
 
4.5%
8 278
 
2.8%
7 210
 
2.1%
10 180
 
1.8%
Other values (112) 1290
12.9%
ValueCountFrequency (%)
0 938
9.4%
1 2084
20.8%
2 2122
21.2%
3 1215
12.2%
4 732
 
7.3%
5 504
 
5.0%
6 447
 
4.5%
7 210
 
2.1%
8 278
 
2.8%
9 132
 
1.3%
ValueCountFrequency (%)
951 1
< 0.1%
467 1
< 0.1%
428 1
< 0.1%
325 2
< 0.1%
245 1
< 0.1%
243 1
< 0.1%
241 1
< 0.1%
191 1
< 0.1%
187 1
< 0.1%
183 1
< 0.1%

여성용-장애인용대변기수
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4624
Minimum0
Maximum63
Zeros6912
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:19.508526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum63
Range63
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4694224
Coefficient of variation (CV)3.1778166
Kurtosis735.39064
Mean0.4624
Median Absolute Deviation (MAD)0
Skewness20.736365
Sum4624
Variance2.1592022
MonotonicityNot monotonic
2023-12-12T15:43:19.654886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 6912
69.1%
1 2570
 
25.7%
2 265
 
2.6%
3 73
 
0.7%
4 62
 
0.6%
5 46
 
0.5%
6 22
 
0.2%
7 13
 
0.1%
9 7
 
0.1%
11 5
 
0.1%
Other values (13) 25
 
0.2%
ValueCountFrequency (%)
0 6912
69.1%
1 2570
 
25.7%
2 265
 
2.6%
3 73
 
0.7%
4 62
 
0.6%
5 46
 
0.5%
6 22
 
0.2%
7 13
 
0.1%
8 3
 
< 0.1%
9 7
 
0.1%
ValueCountFrequency (%)
63 2
< 0.1%
36 1
 
< 0.1%
29 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
21 1
 
< 0.1%
18 1
 
< 0.1%
16 3
< 0.1%
15 1
 
< 0.1%
14 4
< 0.1%

여성용-어린이용대변기수
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1223
Minimum0
Maximum70
Zeros9518
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:19.783646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6920488
Coefficient of variation (CV)13.835231
Kurtosis984.40009
Mean0.1223
Median Absolute Deviation (MAD)0
Skewness29.949656
Sum1223
Variance2.863029
MonotonicityNot monotonic
2023-12-12T15:43:19.957705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9518
95.2%
1 356
 
3.6%
2 78
 
0.8%
3 14
 
0.1%
4 10
 
0.1%
6 4
 
< 0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
48 2
 
< 0.1%
9 2
 
< 0.1%
Other values (11) 12
 
0.1%
ValueCountFrequency (%)
0 9518
95.2%
1 356
 
3.6%
2 78
 
0.8%
3 14
 
0.1%
4 10
 
0.1%
5 2
 
< 0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
70 1
< 0.1%
60 2
< 0.1%
52 1
< 0.1%
50 1
< 0.1%
48 2
< 0.1%
46 1
< 0.1%
36 1
< 0.1%
30 1
< 0.1%
24 1
< 0.1%
19 1
< 0.1%

관리기관명
Text

Distinct3391
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:43:20.277388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length8.6665
Min length2

Characters and Unicode

Total characters86665
Distinct characters570
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2480 ?
Unique (%)24.8%

Sample

1st row전라남도 신안군 증도면사무소
2nd row서귀포시 녹색환경과
3rd row경상북도 문경시 새재관리사무소
4th row대륜중학교
5th row충청남도 보령시 환경보호과
ValueCountFrequency (%)
경기도 1201
 
6.8%
고양시 588
 
3.3%
경상남도 505
 
2.8%
경상북도 480
 
2.7%
전라남도 371
 
2.1%
전라북도 362
 
2.0%
서울특별시 264
 
1.5%
일산동구청 263
 
1.5%
충청북도 236
 
1.3%
개인 222
 
1.3%
Other values (3410) 13240
74.7%
2023-12-12T15:43:20.831491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7795
 
9.0%
청 5051
 
5.8%
시 4556
 
5.3%
도 4073
 
4.7%
경 2948
 
3.4%
구 2440
 
2.8%
군 1901
 
2.2%
산 1873
 
2.2%
소 1786
 
2.1%
주 1755
 
2.0%
Other values (560) 52487
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77682
89.6%
Space Separator 7795
 
9.0%
Open Punctuation 300
 
0.3%
Close Punctuation 298
 
0.3%
Decimal Number 276
 
0.3%
Uppercase Letter 163
 
0.2%
Other Symbol 84
 
0.1%
Other Punctuation 33
 
< 0.1%
Lowercase Letter 30
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 5051
 
6.5%
시 4556
 
5.9%
도 4073
 
5.2%
경 2948
 
3.8%
구 2440
 
3.1%
군 1901
 
2.4%
산 1873
 
2.4%
소 1786
 
2.3%
주 1755
 
2.3%
남 1457
 
1.9%
Other values (506) 49842
64.2%
Uppercase Letter
ValueCountFrequency (%)
K 29
17.8%
G 25
15.3%
S 25
15.3%
L 17
10.4%
P 16
9.8%
T 11
 
6.7%
C 10
 
6.1%
I 7
 
4.3%
E 5
 
3.1%
O 3
 
1.8%
Other values (9) 15
9.2%
Lowercase Letter
ValueCountFrequency (%)
l 5
16.7%
e 5
16.7%
s 3
10.0%
g 2
 
6.7%
k 2
 
6.7%
p 2
 
6.7%
a 2
 
6.7%
f 2
 
6.7%
i 1
 
3.3%
w 1
 
3.3%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
1 130
47.1%
2 58
21.0%
3 27
 
9.8%
9 24
 
8.7%
5 13
 
4.7%
4 11
 
4.0%
8 6
 
2.2%
6 3
 
1.1%
0 2
 
0.7%
7 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 19
57.6%
/ 5
 
15.2%
. 5
 
15.2%
& 4
 
12.1%
Space Separator
ValueCountFrequency (%)
7795
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77766
89.7%
Common 8706
 
10.0%
Latin 193
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 5051
 
6.5%
시 4556
 
5.9%
도 4073
 
5.2%
경 2948
 
3.8%
구 2440
 
3.1%
군 1901
 
2.4%
산 1873
 
2.4%
소 1786
 
2.3%
주 1755
 
2.3%
남 1457
 
1.9%
Other values (507) 49926
64.2%
Latin
ValueCountFrequency (%)
K 29
15.0%
G 25
13.0%
S 25
13.0%
L 17
 
8.8%
P 16
 
8.3%
T 11
 
5.7%
C 10
 
5.2%
I 7
 
3.6%
l 5
 
2.6%
e 5
 
2.6%
Other values (24) 43
22.3%
Common
ValueCountFrequency (%)
7795
89.5%
( 300
 
3.4%
) 298
 
3.4%
1 130
 
1.5%
2 58
 
0.7%
3 27
 
0.3%
9 24
 
0.3%
, 19
 
0.2%
5 13
 
0.1%
4 11
 
0.1%
Other values (9) 31
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77681
89.6%
ASCII 8899
 
10.3%
None 84
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7795
87.6%
( 300
 
3.4%
) 298
 
3.3%
1 130
 
1.5%
2 58
 
0.7%
K 29
 
0.3%
3 27
 
0.3%
G 25
 
0.3%
S 25
 
0.3%
9 24
 
0.3%
Other values (43) 188
 
2.1%
Hangul
ValueCountFrequency (%)
청 5051
 
6.5%
시 4556
 
5.9%
도 4073
 
5.2%
경 2948
 
3.8%
구 2440
 
3.1%
군 1901
 
2.4%
산 1873
 
2.4%
소 1786
 
2.3%
주 1755
 
2.3%
남 1457
 
1.9%
Other values (505) 49841
64.2%
None
ValueCountFrequency (%)
㈜ 84
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

전화번호
Text

MISSING 

Distinct3407
Distinct (%)45.2%
Missing2465
Missing (%)24.6%
Memory size156.2 KiB
2023-12-12T15:43:21.155341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.998673
Min length9

Characters and Unicode

Total characters90410
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

Unique2599 ?
Unique (%)34.5%

Sample

1st row061-240-3542
2nd row064-760-6535
3rd row054-550-8353
4th row053-232-8380
5th row041-930-3681
ValueCountFrequency (%)
031-8075-7243 177
 
2.3%
031-678-2693 83
 
1.1%
062-410-6474 65
 
0.9%
061-379-3616 56
 
0.7%
043-830-3647 53
 
0.7%
055-639-4863 51
 
0.7%
054-537-7353 50
 
0.7%
055-940-3505 49
 
0.7%
041-930-3681 48
 
0.6%
055-749-2185 44
 
0.6%
Other values (3397) 6859
91.0%
2023-12-12T15:43:21.696735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 15025
16.6%
0 14242
15.8%
3 10636
11.8%
5 8255
9.1%
4 8055
8.9%
2 7413
8.2%
6 6672
7.4%
1 6586
7.3%
7 5119
 
5.7%
8 4984
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75385
83.4%
Dash Punctuation 15025
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14242
18.9%
3 10636
14.1%
5 8255
11.0%
4 8055
10.7%
2 7413
9.8%
6 6672
8.9%
1 6586
8.7%
7 5119
 
6.8%
8 4984
 
6.6%
9 3423
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 15025
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 15025
16.6%
0 14242
15.8%
3 10636
11.8%
5 8255
9.1%
4 8055
8.9%
2 7413
8.2%
6 6672
7.4%
1 6586
7.3%
7 5119
 
5.7%
8 4984
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 15025
16.6%
0 14242
15.8%
3 10636
11.8%
5 8255
9.1%
4 8055
8.9%
2 7413
8.2%
6 6672
7.4%
1 6586
7.3%
7 5119
 
5.7%
8 4984
 
5.5%

개방시간
Text

Distinct307
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:43:21.983393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length50
Mean length8.1438
Min length1

Characters and Unicode

Total characters81438
Distinct characters103
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)1.5%

Sample

1st row연중무휴
2nd row24시간
3rd row24시간
4th row09:00~18:00
5th row24시간
ValueCountFrequency (%)
09:00~18:00 2115
20.7%
24시간 1938
18.9%
연중무휴 1876
18.3%
00:00~24:00 586
 
5.7%
231
 
2.3%
06:00~24:00 195
 
1.9%
상시 136
 
1.3%
8시간 123
 
1.2%
평일)09:00~18:00 116
 
1.1%
06:00-22:00 110
 
1.1%
Other values (320) 2804
27.4%
2023-12-12T15:43:22.418285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27288
33.5%
: 10644
 
13.1%
~ 5067
 
6.2%
2 4385
 
5.4%
1 3671
 
4.5%
9 3560
 
4.4%
8 3375
 
4.1%
4 3004
 
3.7%
시 2564
 
3.1%
간 2287
 
2.8%
Other values (93) 15593
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46748
57.4%
Other Letter 16089
 
19.8%
Other Punctuation 10761
 
13.2%
Math Symbol 5389
 
6.6%
Close Punctuation 873
 
1.1%
Open Punctuation 871
 
1.1%
Dash Punctuation 477
 
0.6%
Space Separator 230
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2564
15.9%
간 2287
14.2%
휴 2027
12.6%
중 1941
12.1%
무 1933
12.0%
연 1903
11.8%
일 686
 
4.3%
평 519
 
3.2%
주 224
 
1.4%
상 172
 
1.1%
Other values (71) 1833
11.4%
Decimal Number
ValueCountFrequency (%)
0 27288
58.4%
2 4385
 
9.4%
1 3671
 
7.9%
9 3560
 
7.6%
8 3375
 
7.2%
4 3004
 
6.4%
6 542
 
1.2%
3 411
 
0.9%
5 285
 
0.6%
7 227
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 10644
98.9%
, 91
 
0.8%
/ 22
 
0.2%
. 2
 
< 0.1%
' 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 5067
94.0%
+ 303
 
5.6%
∼ 19
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 873
100.0%
Open Punctuation
ValueCountFrequency (%)
( 871
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 477
100.0%
Space Separator
ValueCountFrequency (%)
230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65349
80.2%
Hangul 16089
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2564
15.9%
간 2287
14.2%
휴 2027
12.6%
중 1941
12.1%
무 1933
12.0%
연 1903
11.8%
일 686
 
4.3%
평 519
 
3.2%
주 224
 
1.4%
상 172
 
1.1%
Other values (71) 1833
11.4%
Common
ValueCountFrequency (%)
0 27288
41.8%
: 10644
 
16.3%
~ 5067
 
7.8%
2 4385
 
6.7%
1 3671
 
5.6%
9 3560
 
5.4%
8 3375
 
5.2%
4 3004
 
4.6%
) 873
 
1.3%
( 871
 
1.3%
Other values (12) 2611
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65330
80.2%
Hangul 16089
 
19.8%
Math Operators 19
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27288
41.8%
: 10644
 
16.3%
~ 5067
 
7.8%
2 4385
 
6.7%
1 3671
 
5.6%
9 3560
 
5.4%
8 3375
 
5.2%
4 3004
 
4.6%
) 873
 
1.3%
( 871
 
1.3%
Other values (11) 2592
 
4.0%
Hangul
ValueCountFrequency (%)
시 2564
15.9%
간 2287
14.2%
휴 2027
12.6%
중 1941
12.1%
무 1933
12.0%
연 1903
11.8%
일 686
 
4.3%
평 519
 
3.2%
주 224
 
1.4%
상 172
 
1.1%
Other values (71) 1833
11.4%
Math Operators
ValueCountFrequency (%)
∼ 19
100.0%

설치연도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6143
Missing (%)61.4%
Memory size156.2 KiB

위도
Real number (ℝ)

MISSING 

Distinct7304
Distinct (%)91.4%
Missing2007
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean36.416423
Minimum32.948755
Maximum38.519821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:22.559907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.948755
5-th percentile34.80763
Q135.734319
median36.448313
Q337.423502
95-th percentile37.692722
Maximum38.519821
Range5.571066
Interquartile range (IQR)1.689183

Descriptive statistics

Standard deviation1.0549528
Coefficient of variation (CV)0.028969151
Kurtosis-0.39397479
Mean36.416423
Median Absolute Deviation (MAD)0.91398987
Skewness-0.49298112
Sum291076.47
Variance1.1129255
MonotonicityNot monotonic
2023-12-12T15:43:22.707509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5352665925 14
 
0.1%
37.3691196491 11
 
0.1%
35.8471617284 10
 
0.1%
37.66444643 9
 
0.1%
37.52034114 8
 
0.1%
37.5454353155 8
 
0.1%
35.530972 7
 
0.1%
37.69524843 7
 
0.1%
35.8559457154 7
 
0.1%
35.170007 7
 
0.1%
Other values (7294) 7905
79.0%
(Missing) 2007
 
20.1%
ValueCountFrequency (%)
32.948755 1
< 0.1%
33.1140067438 1
< 0.1%
33.2073973178 1
< 0.1%
33.2116738877 1
< 0.1%
33.2186730172 1
< 0.1%
33.2239025177 1
< 0.1%
33.227630199 1
< 0.1%
33.2278867404 1
< 0.1%
33.2335314676 2
< 0.1%
33.2366866976 1
< 0.1%
ValueCountFrequency (%)
38.519821 1
< 0.1%
38.22395439 1
< 0.1%
38.22085222 1
< 0.1%
38.21976408 1
< 0.1%
38.2169003 1
< 0.1%
38.213902 1
< 0.1%
38.2135708 1
< 0.1%
38.2130427 1
< 0.1%
38.2111727 1
< 0.1%
38.21039845 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct7294
Distinct (%)91.2%
Missing2006
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean127.61272
Minimum124.65421
Maximum130.91358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:43:22.871544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.65421
5-th percentile126.5737
Q1126.88349
median127.43812
Q3128.46268
95-th percentile129.11044
Maximum130.91358
Range6.2593654
Interquartile range (IQR)1.5791872

Descriptive statistics

Standard deviation0.86010365
Coefficient of variation (CV)0.0067399524
Kurtosis-0.36877999
Mean127.61272
Median Absolute Deviation (MAD)0.6265645
Skewness0.48287425
Sum1020136.1
Variance0.73977829
MonotonicityNot monotonic
2023-12-12T15:43:23.039799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.2595309173 14
 
0.1%
127.9299148446 11
 
0.1%
128.5865487194 10
 
0.1%
126.7604431 9
 
0.1%
127.1155184 8
 
0.1%
127.2237408141 8
 
0.1%
128.976391 7
 
0.1%
128.992668 7
 
0.1%
126.7747712 7
 
0.1%
129.2939697 7
 
0.1%
Other values (7284) 7906
79.1%
(Missing) 2006
 
20.1%
ValueCountFrequency (%)
124.6542136 1
< 0.1%
124.6586354 1
< 0.1%
124.673108 1
< 0.1%
124.6794671 1
< 0.1%
124.6996579 1
< 0.1%
124.7005081 1
< 0.1%
124.7079125 1
< 0.1%
124.7140100442 1
< 0.1%
124.7142898 1
< 0.1%
124.716115 1
< 0.1%
ValueCountFrequency (%)
130.9135789685 1
< 0.1%
130.9095933381 1
< 0.1%
130.9049726957 2
< 0.1%
130.9011973838 1
< 0.1%
130.8963838793 1
< 0.1%
130.8926940202 1
< 0.1%
130.8778765914 1
< 0.1%
130.8743450218 1
< 0.1%
130.8732105675 1
< 0.1%
130.8723466621 1
< 0.1%

화장실소유구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

화장실설치장소유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

오물처리방식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

비상벨설치유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

화장실입구CCTV설치유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기저귀교환대장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

리모델링연월
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

데이터기준일자
Date

Distinct153
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-01-01 00:00:00
Maximum2020-06-08 00:00:00
2023-12-12T15:43:23.192078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:43:23.349625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

제공기관명
Text

Distinct227
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:43:23.779163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.5299
Min length4

Characters and Unicode

Total characters75299
Distinct characters141
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row전라남도 신안군
2nd row제주특별자치도 서귀포시
3rd row경상북도 문경시
4th row대구광역시 수성구
5th row충청남도 보령시
ValueCountFrequency (%)
경기도 2092
 
11.2%
대구광역시 1316
 
7.0%
경상북도 813
 
4.3%
경상남도 806
 
4.3%
충청북도 769
 
4.1%
전라남도 649
 
3.5%
강원도 638
 
3.4%
고양시 592
 
3.2%
충청남도 543
 
2.9%
전라북도 494
 
2.6%
Other values (208) 9994
53.4%
2023-12-12T15:43:24.307419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8706
 
11.6%
시 7245
 
9.6%
도 7080
 
9.4%
경 3814
 
5.1%
구 3419
 
4.5%
광 2939
 
3.9%
군 2655
 
3.5%
역 2424
 
3.2%
남 2357
 
3.1%
북 2315
 
3.1%
Other values (131) 32345
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66593
88.4%
Space Separator 8706
 
11.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7245
 
10.9%
도 7080
 
10.6%
경 3814
 
5.7%
구 3419
 
5.1%
광 2939
 
4.4%
군 2655
 
4.0%
역 2424
 
3.6%
남 2357
 
3.5%
북 2315
 
3.5%
기 2092
 
3.1%
Other values (130) 30253
45.4%
Space Separator
ValueCountFrequency (%)
8706
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66593
88.4%
Common 8706
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7245
 
10.9%
도 7080
 
10.6%
경 3814
 
5.7%
구 3419
 
5.1%
광 2939
 
4.4%
군 2655
 
4.0%
역 2424
 
3.6%
남 2357
 
3.5%
북 2315
 
3.5%
기 2092
 
3.1%
Other values (130) 30253
45.4%
Common
ValueCountFrequency (%)
8706
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66593
88.4%
ASCII 8706
 
11.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8706
100.0%
Hangul
ValueCountFrequency (%)
시 7245
 
10.9%
도 7080
 
10.6%
경 3814
 
5.7%
구 3419
 
5.1%
광 2939
 
4.4%
군 2655
 
4.0%
역 2424
 
3.6%
남 2357
 
3.5%
북 2315
 
3.5%
기 2092
 
3.1%
Other values (130) 30253
45.4%

Sample

구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연도위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치유형화장실입구CCTV설치유무기저귀교환대장소리모델링연월데이터기준일자제공기관코드제공기관명
22316공중화장실방축리 주차장<NA>전라남도 신안군 증도면 방축리 953-3Y331000510전라남도 신안군 증도면사무소061-240-3542연중무휴NaN35.001704126.101604<NA><NA><NA><NA><NA><NA><NA>2020-04-015010000전라남도 신안군
6735개방화장실고향순대(천지동)(폭포수노래방)제주특별자치도 서귀포시 천지로 23제주특별자치도 서귀포시 서귀동 309-38Y000000000서귀포시 녹색환경과064-760-653524시간NaN33.249679126.560598<NA><NA><NA><NA><NA><NA><NA>2019-05-316520000제주특별자치도 서귀포시
28966개방화장실새재도립공원(관리사무소)경상북도 문경시 문경읍 새재로 932경상북도 문경시 문경읍 상초리 288-1N110000100경상북도 문경시 새재관리사무소054-550-835324시간NaN36.761616128.076946<NA><NA><NA><NA><NA><NA><NA>2019-05-275120000경상북도 문경시
29287공중화장실대륜중학교대구광역시 수성구 달구벌대로 2700, (만촌동)대구광역시 수성구 만촌동 산241N29526000020대륜중학교053-232-838009:00~18:00198835.851686128.656762<NA><NA><NA><NA><NA><NA><NA>2020-02-283460000대구광역시 수성구
22537공중화장실만남의광장 공중화장실충청남도 보령시 대해로 889충청남도 보령시 신흑동 2109N10710001000충청남도 보령시 환경보호과041-930-368124시간199136.305368126.517309<NA><NA><NA><NA><NA><NA><NA>2020-03-074510000충청남도 보령시
12860공중화장실능곡중학교<NA>경기도 고양시 덕양구 토당동394N000000000경기도 고양시 덕양구청<NA>09:00~18:00NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-01-023940000경기도 고양시
28330공중화장실성서병원 화장실대구광역시 달서구 달구벌대로 1152 (신당동)<NA>N120000100달서구청 환경보호과<NA>09:00~18:00NaN35.851054128.493223<NA><NA><NA><NA><NA><NA><NA>2020-03-043470000대구광역시 달서구
2630공중화장실신비의소나무<NA>경상북도 군위군 고로면 학암리 843N120000300고로면사무소<NA>연중무휴NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-06-175140000경상북도 군위군
12798공중화장실옥수(2층)서울특별시 성동구 동호로 21서울특별시 성동구 옥수동 168-1N340000000서울교통공사02-6110-335105:00~01:00200037.546675127.016245<NA><NA><NA><NA><NA><NA><NA>2018-02-28B553766서울교통공사
17412개방화장실에덴주유소경기도 가평군 청평면 경춘로 1454경기도 가평군 청평면 상천리 256-5N220000200에덴주유소<NA>09:00~21:00NaN37.779004127.464718<NA><NA><NA><NA><NA><NA><NA>2019-09-184160000경기도 가평군
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연도위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치유형화장실입구CCTV설치유무기저귀교환대장소리모델링연월데이터기준일자제공기관코드제공기관명
7918공중화장실금장해수욕장전라남도 고흥군 금산면 금장길 78-11전라남도 고흥군 금산면 어전리 산14Y340000500관광과061-830-565500:00-24:00200734.434622127.162661<NA><NA><NA><NA><NA><NA><NA>2019-09-254880000전라남도 고흥군
16104공중화장실서흥초등학교인천광역시 동구 샛골로 189인천광역시 동구 송림동 34-1Y211135352124인천광역시 동구 서흥초등학교장032-773-340609:00~18:00200037.478658126.644566<NA><NA><NA><NA><NA><NA><NA>2019-07-303500000인천광역시 동구
29269개방화장실대구스타디움(제2주차장)대구광역시 수성구 유니버시아드로 140, (대흥동)대구광역시 수성구 대흥동 504N361100510대구스타디움(제2주차장)053-602-204224시간200135.831661128.687322<NA><NA><NA><NA><NA><NA><NA>2020-02-283460000대구광역시 수성구
31682개방화장실용곡마을전라남도 장흥군 안양면 수문리 32-37전라남도 장흥군 안양면 수문리 32-37N100000100전라남도 장흥군청 안양면행정복지센터061-860-060524시간209634.635087127.045978<NA><NA><NA><NA><NA><NA><NA>2019-12-244910000전라남도 장흥군
22624공중화장실문현1동체육공원<NA>부산광역시 남구 문현1동 산7N110000200부산광역시 남구청051-607-4442상시2019<NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-08-283310000부산광역시 남구
32018공중화장실일원까치공원 화장실서울특별시 강남구 일원동 712-4서울특별시 강남구 일원동 712-4N121000311강남구청 공원녹지과02-3423-6262연중무휴2008<NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-01-023220000서울특별시 강남구
15116공중화장실팔충사 공중화장실충청남도 부여군 충화면 팔충로 597<NA>N131000310충청남도 부여군청041-830-6628연중무휴NaN36.186799126.803896<NA><NA><NA><NA><NA><NA><NA>2019-06-104570000충청남도 부여군
15232공중화장실석성치안센터(석성파출소)충청남도 부여군 석성면 왕릉로 695<NA>N120000100충정지방경찰청 부여경찰서041-836-9112연중무휴NaN36.253398127.001785<NA><NA><NA><NA><NA><NA><NA>2019-06-104570000충청남도 부여군
6409개방화장실경기주유소경기도 하남시 대청로 73경기도 하남시 신장동 99-30N110000200경기주유소031-791-507006:00~23:00NaN37.54081127.220723<NA><NA><NA><NA><NA><NA><NA>2019-03-294040000경기도 하남시
8864공중화장실금계초등학교경기도 고양시 일산동구 강촌로 90 (백석동)경기도 고양시 일산동구 백석동 1192N192100003900경기도 고양시 일산동구청<NA>09:00~18:00NaN37.649601126.78431<NA><NA><NA><NA><NA><NA><NA>2019-01-023940000경기도 고양시

Duplicate rows

Most frequently occurring

구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간위도경도데이터기준일자제공기관명# duplicates
0간이화장실금평 숲<NA>전라북도 진안군 부귀면 거석리 712-1Y1100100전라북도 진안군청<NA>주35.837793127.3673492019-09-16전라북도 진안군2
1간이화장실노적봉간이화장실전라북도 진안군 주천면 무릉로 79-1전라북도 진안군 주천면 대불리 2088-1Y2200200전라북도 진안군청<NA>연중35.976966127.3729372019-09-16전라북도 진안군2
2간이화장실사인암<NA>전라북도 진안군 부귀면 오룡리 411-7Y1100100전라북도 진안군청<NA>주35.831711127.3553622019-09-16전라북도 진안군2
3간이화장실체련공원1<NA>전라북도 진안군 성수면 좌포리 1462Y2100200전라북도 진안군청<NA>주야35.726002127.2979312019-09-16전라북도 진안군2
4간이화장실태고정(아래)<NA>전라북도 진안군 용담면 월계리 877-9Y1100100전라북도 진안군청<NA>00:00~24:0035.938773127.4880412019-09-16전라북도 진안군2
5개방화장실동부새마을금고전라북도 진안군 진안읍 진장로 1106전라북도 진안군 진안읍 군상리365-2Y3210310전라북도 진안산림조합<NA>주35.791802127.4294722019-09-16전라북도 진안군2
6개방화장실무진장축협전라북도 진안군 진안읍 진장로 9전라북도 진안군 진안읍 군상리403-59Y3410310전라북도 무진장축협<NA>주35.792562127.4322212019-09-16전라북도 진안군2
7개방화장실문수체육공원_매표소 화장실(남측)울산광역시 남구 문수로 44울산광역시 남구 옥동 산5N3301410울산시설공단052-220-250608:00~22:0035.535267129.2595312020-01-20울산시설공단2
8개방화장실문수체육공원_매표소 화장실(북측)울산광역시 남구 문수로 44울산광역시 남구 옥동 산5N3301410울산시설공단052-220-250608:00~22:0035.535267129.2595312020-01-20울산시설공단2
9개방화장실성보월드프라자경기도 고양시 덕양구 화신로 272번길 38경기도 고양시 덕양구 화정동 980N2300200성보월드프라자031-979-050600:00~24:0037.632563126.8318822019-01-02경기도 고양시2