Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells22531
Missing cells (%)7.5%
Duplicate rows327
Duplicate rows (%)3.3%
Total size in memory2.5 MiB
Average record size in memory259.0 B

Variable types

Categorical7
Text6
Boolean4
Numeric11
DateTime2

Dataset

Description공중화장실 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=GW6U772M6045H11Q799612585601&infSeq=1

Alerts

Dataset has 327 (3.3%) duplicate rowsDuplicates
구분 is highly imbalanced (66.3%)Imbalance
비상벨설치장소 is highly imbalanced (64.5%)Imbalance
화장실여부 is highly imbalanced (53.5%)Imbalance
설치여부 is highly imbalanced (56.7%)Imbalance
기저귀교환대장소 is highly imbalanced (64.4%)Imbalance
소재지도로명주소 has 1187 (11.9%) missing valuesMissing
소재지지번주소 has 231 (2.3%) missing valuesMissing
전화번호 has 3080 (30.8%) missing valuesMissing
설치연월 has 7533 (75.3%) missing valuesMissing
위도 has 429 (4.3%) missing valuesMissing
경도 has 429 (4.3%) missing valuesMissing
리모델링연월 has 9642 (96.4%) missing valuesMissing
남성용-어린이용대변기수 is highly skewed (γ1 = 27.28353406)Skewed
남성용-대변기수 has 412 (4.1%) zerosZeros
남성용-소변기수 has 509 (5.1%) zerosZeros
남성용-장애인용대변기수 has 5691 (56.9%) zerosZeros
남성용-장애인용소변기수 has 7565 (75.6%) zerosZeros
남성용-어린이용대변기수 has 9592 (95.9%) zerosZeros
남성용-어린이용소변기수 has 9578 (95.8%) zerosZeros
여성용-대변기수 has 358 (3.6%) zerosZeros
여성용-장애인용대변기수 has 5720 (57.2%) zerosZeros
여성용-어린이용대변기수 has 9287 (92.9%) zerosZeros

Reproduction

Analysis started2024-05-03 19:10:25.327790
Analysis finished2024-05-03 19:10:29.707807
Duration4.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공중화장실
8527 
개방화장실
1347 
간이화장실
 
104
이동화장실
 
22

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공중화장실 8527
85.3%
개방화장실 1347
 
13.5%
간이화장실 104
 
1.0%
이동화장실 22
 
0.2%

Length

2024-05-03T19:10:29.877262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:10:30.147617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공중화장실 8527
85.3%
개방화장실 1347
 
13.5%
간이화장실 104
 
1.0%
이동화장실 22
 
0.2%

화장실명
Text

Distinct9059
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T19:10:30.527656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length8.7457
Min length1

Characters and Unicode

Total characters87457
Distinct characters781
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8301 ?
Unique (%)83.0%

Sample

1st row양재천 공중화장실3
2nd row청풍주유소
3rd row청경초소 화장실
4th rowMG새마을 금고 부곡지점
5th row대성주유소
ValueCountFrequency (%)
화장실 726
 
4.8%
1층 249
 
1.6%
공중화장실 227
 
1.5%
2층 197
 
1.3%
행정복지센터 157
 
1.0%
3층 122
 
0.8%
개방화장실 89
 
0.6%
주유소 83
 
0.5%
옆 76
 
0.5%
주민센터 53
 
0.3%
Other values (9070) 13221
87.0%
2024-05-03T19:10:31.346055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5249
 
6.0%
장 3010
 
3.4%
소 2496
 
2.9%
주 2352
 
2.7%
화 2318
 
2.7%
원 2253
 
2.6%
공 2003
 
2.3%
실 1922
 
2.2%
유 1740
 
2.0%
지 1604
 
1.8%
Other values (771) 62510
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75378
86.2%
Space Separator 5249
 
6.0%
Decimal Number 2715
 
3.1%
Close Punctuation 1329
 
1.5%
Open Punctuation 1323
 
1.5%
Uppercase Letter 1049
 
1.2%
Lowercase Letter 122
 
0.1%
Other Symbol 112
 
0.1%
Dash Punctuation 84
 
0.1%
Other Punctuation 47
 
0.1%
Other values (5) 49
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3010
 
4.0%
소 2496
 
3.3%
주 2352
 
3.1%
화 2318
 
3.1%
원 2253
 
3.0%
공 2003
 
2.7%
실 1922
 
2.5%
유 1740
 
2.3%
지 1604
 
2.1%
동 1567
 
2.1%
Other values (698) 54113
71.8%
Uppercase Letter
ValueCountFrequency (%)
S 154
14.7%
K 118
11.2%
G 102
9.7%
F 92
8.8%
C 92
8.8%
L 77
7.3%
B 70
6.7%
A 64
 
6.1%
P 63
 
6.0%
I 46
 
4.4%
Other values (14) 171
16.3%
Lowercase Letter
ValueCountFrequency (%)
s 31
25.4%
k 30
24.6%
e 12
 
9.8%
l 8
 
6.6%
f 7
 
5.7%
c 4
 
3.3%
i 4
 
3.3%
t 4
 
3.3%
n 4
 
3.3%
u 3
 
2.5%
Other values (8) 15
12.3%
Decimal Number
ValueCountFrequency (%)
1 1053
38.8%
2 719
26.5%
3 389
 
14.3%
4 145
 
5.3%
9 116
 
4.3%
0 75
 
2.8%
5 71
 
2.6%
8 53
 
2.0%
6 51
 
1.9%
7 43
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 15
31.9%
, 14
29.8%
/ 8
17.0%
& 5
 
10.6%
: 2
 
4.3%
， 2
 
4.3%
· 1
 
2.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
35.7%
Ⅲ 5
35.7%
Ⅰ 4
28.6%
Close Punctuation
ValueCountFrequency (%)
) 1327
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1321
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
5249
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75489
86.3%
Common 10782
 
12.3%
Latin 1185
 
1.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3010
 
4.0%
소 2496
 
3.3%
주 2352
 
3.1%
화 2318
 
3.1%
원 2253
 
3.0%
공 2003
 
2.7%
실 1922
 
2.5%
유 1740
 
2.3%
지 1604
 
2.1%
동 1567
 
2.1%
Other values (698) 54224
71.8%
Latin
ValueCountFrequency (%)
S 154
13.0%
K 118
 
10.0%
G 102
 
8.6%
F 92
 
7.8%
C 92
 
7.8%
L 77
 
6.5%
B 70
 
5.9%
A 64
 
5.4%
P 63
 
5.3%
I 46
 
3.9%
Other values (35) 307
25.9%
Common
ValueCountFrequency (%)
5249
48.7%
) 1327
 
12.3%
( 1321
 
12.3%
1 1053
 
9.8%
2 719
 
6.7%
3 389
 
3.6%
4 145
 
1.3%
9 116
 
1.1%
- 84
 
0.8%
0 75
 
0.7%
Other values (17) 304
 
2.8%
Han
ValueCountFrequency (%)
舊 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75377
86.2%
ASCII 11948
 
13.7%
None 115
 
0.1%
Number Forms 14
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5249
43.9%
) 1327
 
11.1%
( 1321
 
11.1%
1 1053
 
8.8%
2 719
 
6.0%
3 389
 
3.3%
S 154
 
1.3%
4 145
 
1.2%
K 118
 
1.0%
9 116
 
1.0%
Other values (55) 1357
 
11.4%
Hangul
ValueCountFrequency (%)
장 3010
 
4.0%
소 2496
 
3.3%
주 2352
 
3.1%
화 2318
 
3.1%
원 2253
 
3.0%
공 2003
 
2.7%
실 1922
 
2.5%
유 1740
 
2.3%
지 1604
 
2.1%
동 1567
 
2.1%
Other values (697) 54112
71.8%
None
ValueCountFrequency (%)
㈜ 112
97.4%
， 2
 
1.7%
· 1
 
0.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
35.7%
Ⅲ 5
35.7%
Ⅰ 4
28.6%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
CJK
ValueCountFrequency (%)
舊 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct6867
Distinct (%)77.9%
Missing1187
Missing (%)11.9%
Memory size156.2 KiB
2024-05-03T19:10:31.868796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length21.520141
Min length11

Characters and Unicode

Total characters189657
Distinct characters548
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

Unique5843 ?
Unique (%)66.3%

Sample

1st row경기도 과천시 과천동 550-2
2nd row경기도 가평군 청평면 경춘로 257
3rd row경기도 화성시 서신면 제부말길 4
4th row경기도 의왕시 부곡중앙로 23
5th row경기도 가평군 조종면 청군로 1184
ValueCountFrequency (%)
경기도 8814
 
20.2%
고양시 974
 
2.2%
화성시 776
 
1.8%
성남시 618
 
1.4%
수원시 582
 
1.3%
평택시 528
 
1.2%
안산시 523
 
1.2%
부천시 457
 
1.0%
용인시 416
 
1.0%
덕양구 370
 
0.8%
Other values (6776) 29537
67.8%
2024-05-03T19:10:32.763117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34784
 
18.3%
경 9273
 
4.9%
기 9205
 
4.9%
도 9163
 
4.8%
시 8819
 
4.6%
로 7724
 
4.1%
1 5806
 
3.1%
2 3943
 
2.1%
구 3585
 
1.9%
동 3489
 
1.8%
Other values (538) 93866
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118793
62.6%
Space Separator 34784
 
18.3%
Decimal Number 29078
 
15.3%
Open Punctuation 2298
 
1.2%
Close Punctuation 2297
 
1.2%
Dash Punctuation 1196
 
0.6%
Other Punctuation 1077
 
0.6%
Uppercase Letter 118
 
0.1%
Lowercase Letter 14
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 9273
 
7.8%
기 9205
 
7.7%
도 9163
 
7.7%
시 8819
 
7.4%
로 7724
 
6.5%
구 3585
 
3.0%
동 3489
 
2.9%
양 2671
 
2.2%
성 2353
 
2.0%
산 2234
 
1.9%
Other values (486) 60277
50.7%
Uppercase Letter
ValueCountFrequency (%)
S 21
17.8%
K 19
16.1%
G 12
10.2%
L 12
10.2%
P 11
9.3%
A 8
 
6.8%
N 7
 
5.9%
I 5
 
4.2%
C 5
 
4.2%
M 3
 
2.5%
Other values (8) 15
12.7%
Decimal Number
ValueCountFrequency (%)
1 5806
20.0%
2 3943
13.6%
3 3162
10.9%
4 2727
9.4%
5 2588
8.9%
6 2485
8.5%
7 2185
 
7.5%
0 2145
 
7.4%
8 2038
 
7.0%
9 1999
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
14.3%
m 2
14.3%
t 2
14.3%
c 2
14.3%
s 1
7.1%
e 1
7.1%
a 1
7.1%
l 1
7.1%
i 1
7.1%
u 1
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1055
98.0%
. 16
 
1.5%
& 3
 
0.3%
* 1
 
0.1%
· 1
 
0.1%
/ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2297
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2296
> 99.9%
] 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
34784
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118793
62.6%
Common 70730
37.3%
Latin 134
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 9273
 
7.8%
기 9205
 
7.7%
도 9163
 
7.7%
시 8819
 
7.4%
로 7724
 
6.5%
구 3585
 
3.0%
동 3489
 
2.9%
양 2671
 
2.2%
성 2353
 
2.0%
산 2234
 
1.9%
Other values (486) 60277
50.7%
Latin
ValueCountFrequency (%)
S 21
15.7%
K 19
14.2%
G 12
 
9.0%
L 12
 
9.0%
P 11
 
8.2%
A 8
 
6.0%
N 7
 
5.2%
I 5
 
3.7%
C 5
 
3.7%
M 3
 
2.2%
Other values (20) 31
23.1%
Common
ValueCountFrequency (%)
34784
49.2%
1 5806
 
8.2%
2 3943
 
5.6%
3 3162
 
4.5%
4 2727
 
3.9%
5 2588
 
3.7%
6 2485
 
3.5%
( 2297
 
3.2%
) 2296
 
3.2%
7 2185
 
3.1%
Other values (12) 8457
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118793
62.6%
ASCII 70861
37.4%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34784
49.1%
1 5806
 
8.2%
2 3943
 
5.6%
3 3162
 
4.5%
4 2727
 
3.8%
5 2588
 
3.7%
6 2485
 
3.5%
( 2297
 
3.2%
) 2296
 
3.2%
7 2185
 
3.1%
Other values (39) 8588
 
12.1%
Hangul
ValueCountFrequency (%)
경 9273
 
7.8%
기 9205
 
7.7%
도 9163
 
7.7%
시 8819
 
7.4%
로 7724
 
6.5%
구 3585
 
3.0%
동 3489
 
2.9%
양 2671
 
2.2%
성 2353
 
2.0%
산 2234
 
1.9%
Other values (486) 60277
50.7%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%

소재지지번주소
Text

MISSING 

Distinct7812
Distinct (%)80.0%
Missing231
Missing (%)2.3%
Memory size156.2 KiB
2024-05-03T19:10:33.293988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length21.568226
Min length11

Characters and Unicode

Total characters210700
Distinct characters563
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6734 ?
Unique (%)68.9%

Sample

1st row경기도 과천시 과천동 550-2
2nd row경기도 가평군 청평면 대성리 344-17
3rd row경기도 화성시 서신면 제부리 3-6번지
4th row경기도 의왕시 삼동 192-7번지
5th row경기도 가평군 조종면 현리 477-252
ValueCountFrequency (%)
경기도 9000
 
18.9%
고양시 1086
 
2.3%
성남시 923
 
1.9%
화성시 731
 
1.5%
안산시 688
 
1.4%
평택시 646
 
1.4%
수원시 599
 
1.3%
부천시 531
 
1.1%
분당구 482
 
1.0%
단원구 442
 
0.9%
Other values (9021) 32463
68.2%
2024-05-03T19:10:34.397940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38114
 
18.1%
시 9751
 
4.6%
도 9385
 
4.5%
기 9276
 
4.4%
경 9185
 
4.4%
동 7718
 
3.7%
1 7153
 
3.4%
- 5008
 
2.4%
2 4661
 
2.2%
구 4082
 
1.9%
Other values (553) 106367
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128902
61.2%
Space Separator 38114
 
18.1%
Decimal Number 35994
 
17.1%
Dash Punctuation 5008
 
2.4%
Close Punctuation 1047
 
0.5%
Open Punctuation 1046
 
0.5%
Other Punctuation 392
 
0.2%
Uppercase Letter 170
 
0.1%
Lowercase Letter 20
 
< 0.1%
Letter Number 5
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9751
 
7.6%
도 9385
 
7.3%
기 9276
 
7.2%
경 9185
 
7.1%
동 7718
 
6.0%
구 4082
 
3.2%
지 3780
 
2.9%
번 3555
 
2.8%
양 2955
 
2.3%
산 2838
 
2.2%
Other values (494) 66377
51.5%
Uppercase Letter
ValueCountFrequency (%)
I 21
12.4%
S 21
12.4%
B 15
8.8%
L 14
 
8.2%
P 13
 
7.6%
C 13
 
7.6%
K 12
 
7.1%
G 11
 
6.5%
A 7
 
4.1%
N 7
 
4.1%
Other values (12) 36
21.2%
Lowercase Letter
ValueCountFrequency (%)
c 4
20.0%
s 3
15.0%
o 2
10.0%
m 2
10.0%
t 2
10.0%
k 2
10.0%
i 1
 
5.0%
l 1
 
5.0%
a 1
 
5.0%
e 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 7153
19.9%
2 4661
12.9%
3 3927
10.9%
4 3458
9.6%
5 3452
9.6%
6 3078
8.6%
7 2783
 
7.7%
8 2636
 
7.3%
0 2484
 
6.9%
9 2362
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 375
95.7%
， 4
 
1.0%
& 4
 
1.0%
· 4
 
1.0%
? 2
 
0.5%
: 1
 
0.3%
/ 1
 
0.3%
. 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
38114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5008
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1047
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1046
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128903
61.2%
Common 81602
38.7%
Latin 195
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9751
 
7.6%
도 9385
 
7.3%
기 9276
 
7.2%
경 9185
 
7.1%
동 7718
 
6.0%
구 4082
 
3.2%
지 3780
 
2.9%
번 3555
 
2.8%
양 2955
 
2.3%
산 2838
 
2.2%
Other values (495) 66378
51.5%
Latin
ValueCountFrequency (%)
I 21
 
10.8%
S 21
 
10.8%
B 15
 
7.7%
L 14
 
7.2%
P 13
 
6.7%
C 13
 
6.7%
K 12
 
6.2%
G 11
 
5.6%
A 7
 
3.6%
N 7
 
3.6%
Other values (25) 61
31.3%
Common
ValueCountFrequency (%)
38114
46.7%
1 7153
 
8.8%
- 5008
 
6.1%
2 4661
 
5.7%
3 3927
 
4.8%
4 3458
 
4.2%
5 3452
 
4.2%
6 3078
 
3.8%
7 2783
 
3.4%
8 2636
 
3.2%
Other values (13) 7332
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128902
61.2%
ASCII 81784
38.8%
None 9
 
< 0.1%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38114
46.6%
1 7153
 
8.7%
- 5008
 
6.1%
2 4661
 
5.7%
3 3927
 
4.8%
4 3458
 
4.2%
5 3452
 
4.2%
6 3078
 
3.8%
7 2783
 
3.4%
8 2636
 
3.2%
Other values (44) 7514
 
9.2%
Hangul
ValueCountFrequency (%)
시 9751
 
7.6%
도 9385
 
7.3%
기 9276
 
7.2%
경 9185
 
7.1%
동 7718
 
6.0%
구 4082
 
3.2%
지 3780
 
2.9%
번 3555
 
2.8%
양 2955
 
2.3%
산 2838
 
2.2%
Other values (494) 66377
51.5%
None
ValueCountFrequency (%)
， 4
44.4%
· 4
44.4%
㈜ 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%

남녀공용화장실여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8194 
True
1806 
ValueCountFrequency (%)
False 8194
81.9%
True 1806
 
18.1%
2024-05-03T19:10:34.696118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

남성용-대변기수
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1416
Minimum0
Maximum195
Zeros412
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:35.129160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile10
Maximum195
Range195
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.687986
Coefficient of variation (CV)1.8105379
Kurtosis221.81976
Mean3.1416
Median Absolute Deviation (MAD)1
Skewness11.176624
Sum31416
Variance32.353185
MonotonicityNot monotonic
2024-05-03T19:10:35.579765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3248
32.5%
2 3222
32.2%
3 1189
 
11.9%
4 553
 
5.5%
0 412
 
4.1%
5 266
 
2.7%
6 220
 
2.2%
8 138
 
1.4%
10 121
 
1.2%
7 116
 
1.2%
Other values (55) 515
 
5.1%
ValueCountFrequency (%)
0 412
 
4.1%
1 3248
32.5%
2 3222
32.2%
3 1189
 
11.9%
4 553
 
5.5%
5 266
 
2.7%
6 220
 
2.2%
7 116
 
1.2%
8 138
 
1.4%
9 69
 
0.7%
ValueCountFrequency (%)
195 1
 
< 0.1%
108 1
 
< 0.1%
107 1
 
< 0.1%
100 1
 
< 0.1%
95 1
 
< 0.1%
93 1
 
< 0.1%
92 1
 
< 0.1%
89 4
< 0.1%
79 1
 
< 0.1%
71 1
 
< 0.1%

남성용-소변기수
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9069
Minimum0
Maximum316
Zeros509
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:35.928653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q34
95-th percentile13
Maximum316
Range316
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.369794
Coefficient of variation (CV)1.8863534
Kurtosis403.00581
Mean3.9069
Median Absolute Deviation (MAD)1
Skewness14.085673
Sum39069
Variance54.313864
MonotonicityNot monotonic
2024-05-03T19:10:36.282855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3191
31.9%
1 1933
19.3%
3 1764
17.6%
4 831
 
8.3%
0 509
 
5.1%
5 338
 
3.4%
6 287
 
2.9%
8 160
 
1.6%
7 121
 
1.2%
10 112
 
1.1%
Other values (63) 754
 
7.5%
ValueCountFrequency (%)
0 509
 
5.1%
1 1933
19.3%
2 3191
31.9%
3 1764
17.6%
4 831
 
8.3%
5 338
 
3.4%
6 287
 
2.9%
7 121
 
1.2%
8 160
 
1.6%
9 107
 
1.1%
ValueCountFrequency (%)
316 1
< 0.1%
147 1
< 0.1%
138 1
< 0.1%
134 1
< 0.1%
133 1
< 0.1%
127 1
< 0.1%
106 1
< 0.1%
105 1
< 0.1%
94 1
< 0.1%
92 1
< 0.1%

남성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5522
Minimum0
Maximum29
Zeros5691
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:36.558580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum29
Range29
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0605601
Coefficient of variation (CV)1.9206086
Kurtosis163.3653
Mean0.5522
Median Absolute Deviation (MAD)0
Skewness9.210944
Sum5522
Variance1.1247876
MonotonicityNot monotonic
2024-05-03T19:10:36.964593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5691
56.9%
1 3867
38.7%
2 181
 
1.8%
3 109
 
1.1%
4 55
 
0.5%
5 46
 
0.5%
6 11
 
0.1%
8 10
 
0.1%
7 9
 
0.1%
9 4
 
< 0.1%
Other values (11) 17
 
0.2%
ValueCountFrequency (%)
0 5691
56.9%
1 3867
38.7%
2 181
 
1.8%
3 109
 
1.1%
4 55
 
0.5%
5 46
 
0.5%
6 11
 
0.1%
7 9
 
0.1%
8 10
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
29 1
 
< 0.1%
27 1
 
< 0.1%
22 1
 
< 0.1%
20 2
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
15 2
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 3
< 0.1%

남성용-장애인용소변기수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.314
Minimum0
Maximum31
Zeros7565
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:37.334656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.85432838
Coefficient of variation (CV)2.720791
Kurtosis273.45125
Mean0.314
Median Absolute Deviation (MAD)0
Skewness11.5761
Sum3140
Variance0.72987699
MonotonicityNot monotonic
2024-05-03T19:10:37.708690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 7565
75.6%
1 2177
 
21.8%
2 107
 
1.1%
3 64
 
0.6%
4 32
 
0.3%
5 19
 
0.2%
6 15
 
0.1%
10 4
 
< 0.1%
8 4
 
< 0.1%
7 4
 
< 0.1%
Other values (7) 9
 
0.1%
ValueCountFrequency (%)
0 7565
75.6%
1 2177
 
21.8%
2 107
 
1.1%
3 64
 
0.6%
4 32
 
0.3%
5 19
 
0.2%
6 15
 
0.1%
7 4
 
< 0.1%
8 4
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
31 1
 
< 0.1%
21 1
 
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
15 1
 
< 0.1%
13 1
 
< 0.1%
10 4
< 0.1%
9 3
< 0.1%
8 4
< 0.1%
7 4
< 0.1%

남성용-어린이용대변기수
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0568
Minimum0
Maximum25
Zeros9592
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:37.967204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.42800944
Coefficient of variation (CV)7.5353774
Kurtosis1290.3061
Mean0.0568
Median Absolute Deviation (MAD)0
Skewness27.283534
Sum568
Variance0.18319208
MonotonicityNot monotonic
2024-05-03T19:10:38.206645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 9592
95.9%
1 351
 
3.5%
2 22
 
0.2%
3 17
 
0.2%
4 7
 
0.1%
5 5
 
0.1%
25 1
 
< 0.1%
9 1
 
< 0.1%
12 1
 
< 0.1%
6 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 9592
95.9%
1 351
 
3.5%
2 22
 
0.2%
3 17
 
0.2%
4 7
 
0.1%
5 5
 
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
25 1
 
< 0.1%
12 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
5 5
 
0.1%
4 7
 
0.1%
3 17
0.2%
2 22
0.2%

남성용-어린이용소변기수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0645
Minimum0
Maximum19
Zeros9578
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:38.575006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.45316695
Coefficient of variation (CV)7.0258442
Kurtosis468.08962
Mean0.0645
Median Absolute Deviation (MAD)0
Skewness17.140922
Sum645
Variance0.20536029
MonotonicityNot monotonic
2024-05-03T19:10:38.911131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9578
95.8%
1 336
 
3.4%
2 44
 
0.4%
3 17
 
0.2%
4 9
 
0.1%
8 3
 
< 0.1%
7 3
 
< 0.1%
9 3
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 9578
95.8%
1 336
 
3.4%
2 44
 
0.4%
3 17
 
0.2%
4 9
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 3
 
< 0.1%
8 3
 
< 0.1%
7 3
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
4 9
0.1%
3 17
0.2%

여성용-대변기수
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.766
Minimum0
Maximum227
Zeros358
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:39.317902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile15
Maximum227
Range227
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.959658
Coefficient of variation (CV)1.8799115
Kurtosis177.70154
Mean4.766
Median Absolute Deviation (MAD)1
Skewness10.752834
Sum47660
Variance80.275472
MonotonicityNot monotonic
2024-05-03T19:10:39.765938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2707
27.1%
1 1839
18.4%
3 1513
15.1%
4 887
 
8.9%
5 543
 
5.4%
6 471
 
4.7%
0 358
 
3.6%
8 278
 
2.8%
7 226
 
2.3%
9 148
 
1.5%
Other values (74) 1030
 
10.3%
ValueCountFrequency (%)
0 358
 
3.6%
1 1839
18.4%
2 2707
27.1%
3 1513
15.1%
4 887
 
8.9%
5 543
 
5.4%
6 471
 
4.7%
7 226
 
2.3%
8 278
 
2.8%
9 148
 
1.5%
ValueCountFrequency (%)
227 1
 
< 0.1%
199 1
 
< 0.1%
185 1
 
< 0.1%
172 1
 
< 0.1%
170 3
< 0.1%
166 1
 
< 0.1%
165 1
 
< 0.1%
158 1
 
< 0.1%
142 1
 
< 0.1%
126 1
 
< 0.1%

여성용-장애인용대변기수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5475
Minimum0
Maximum29
Zeros5720
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:40.332728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum29
Range29
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0511205
Coefficient of variation (CV)1.9198547
Kurtosis152.83486
Mean0.5475
Median Absolute Deviation (MAD)0
Skewness8.9415696
Sum5475
Variance1.1048542
MonotonicityNot monotonic
2024-05-03T19:10:40.715831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5720
57.2%
1 3833
38.3%
2 203
 
2.0%
3 97
 
1.0%
4 58
 
0.6%
5 36
 
0.4%
6 13
 
0.1%
8 8
 
0.1%
10 8
 
0.1%
7 6
 
0.1%
Other values (11) 18
 
0.2%
ValueCountFrequency (%)
0 5720
57.2%
1 3833
38.3%
2 203
 
2.0%
3 97
 
1.0%
4 58
 
0.6%
5 36
 
0.4%
6 13
 
0.1%
7 6
 
0.1%
8 8
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
29 1
 
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
17 1
 
< 0.1%
15 2
< 0.1%
13 1
 
< 0.1%
12 2
< 0.1%
11 3
< 0.1%

여성용-어린이용대변기수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1073
Minimum0
Maximum22
Zeros9287
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:40.970612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59885104
Coefficient of variation (CV)5.5810908
Kurtosis321.26152
Mean0.1073
Median Absolute Deviation (MAD)0
Skewness14.287272
Sum1073
Variance0.35862257
MonotonicityNot monotonic
2024-05-03T19:10:41.280733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 9287
92.9%
1 596
 
6.0%
2 54
 
0.5%
3 17
 
0.2%
5 13
 
0.1%
4 9
 
0.1%
7 6
 
0.1%
6 6
 
0.1%
10 3
 
< 0.1%
9 2
 
< 0.1%
Other values (5) 7
 
0.1%
ValueCountFrequency (%)
0 9287
92.9%
1 596
 
6.0%
2 54
 
0.5%
3 17
 
0.2%
4 9
 
0.1%
5 13
 
0.1%
6 6
 
0.1%
7 6
 
0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
13 2
 
< 0.1%
12 2
 
< 0.1%
11 1
 
< 0.1%
10 3
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
7 6
0.1%
6 6
0.1%
5 13
0.1%

관리기관명
Text

Distinct3098
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T19:10:41.738449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length8.777
Min length1

Characters and Unicode

Total characters87770
Distinct characters577
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

Unique2422 ?
Unique (%)24.2%

Sample

1st row공원녹지과
2nd row청풍주유소
3rd row경기도 화성시
4th row새마을금고
5th row대성주유소
ValueCountFrequency (%)
경기도 1571
 
8.9%
자원순환과 1018
 
5.8%
성남시청 921
 
5.2%
환경녹지과 569
 
3.2%
부천시 468
 
2.7%
민간 429
 
2.4%
환경건축과 390
 
2.2%
화성시 380
 
2.2%
안성시 337
 
1.9%
일자리경제과 302
 
1.7%
Other values (3176) 11253
63.8%
2024-05-03T19:10:42.698727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7640
 
8.7%
시 4684
 
5.3%
과 4234
 
4.8%
경 3356
 
3.8%
원 2582
 
2.9%
도 2523
 
2.9%
청 2120
 
2.4%
환 2095
 
2.4%
기 1974
 
2.2%
성 1878
 
2.1%
Other values (567) 54684
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77891
88.7%
Space Separator 7640
 
8.7%
Close Punctuation 560
 
0.6%
Open Punctuation 559
 
0.6%
Decimal Number 541
 
0.6%
Uppercase Letter 376
 
0.4%
Other Symbol 80
 
0.1%
Lowercase Letter 51
 
0.1%
Dash Punctuation 39
 
< 0.1%
Other Punctuation 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4684
 
6.0%
과 4234
 
5.4%
경 3356
 
4.3%
원 2582
 
3.3%
도 2523
 
3.2%
청 2120
 
2.7%
환 2095
 
2.7%
기 1974
 
2.5%
성 1878
 
2.4%
지 1796
 
2.3%
Other values (509) 50649
65.0%
Uppercase Letter
ValueCountFrequency (%)
K 59
15.7%
S 48
12.8%
G 43
11.4%
L 41
10.9%
P 27
7.2%
I 24
 
6.4%
N 22
 
5.9%
C 21
 
5.6%
A 15
 
4.0%
T 14
 
3.7%
Other values (12) 62
16.5%
Lowercase Letter
ValueCountFrequency (%)
s 14
27.5%
k 13
25.5%
t 4
 
7.8%
c 4
 
7.8%
n 3
 
5.9%
e 3
 
5.9%
i 2
 
3.9%
l 2
 
3.9%
f 2
 
3.9%
o 1
 
2.0%
Other values (3) 3
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 284
52.5%
2 126
23.3%
9 51
 
9.4%
3 32
 
5.9%
0 16
 
3.0%
4 9
 
1.7%
5 9
 
1.7%
7 6
 
1.1%
6 5
 
0.9%
8 3
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 24
77.4%
& 2
 
6.5%
. 2
 
6.5%
: 1
 
3.2%
? 1
 
3.2%
· 1
 
3.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
7640
100.0%
Close Punctuation
ValueCountFrequency (%)
) 560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 559
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77971
88.8%
Common 9370
 
10.7%
Latin 429
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4684
 
6.0%
과 4234
 
5.4%
경 3356
 
4.3%
원 2582
 
3.3%
도 2523
 
3.2%
청 2120
 
2.7%
환 2095
 
2.7%
기 1974
 
2.5%
성 1878
 
2.4%
지 1796
 
2.3%
Other values (510) 50729
65.1%
Latin
ValueCountFrequency (%)
K 59
13.8%
S 48
11.2%
G 43
 
10.0%
L 41
 
9.6%
P 27
 
6.3%
I 24
 
5.6%
N 22
 
5.1%
C 21
 
4.9%
A 15
 
3.5%
T 14
 
3.3%
Other values (27) 115
26.8%
Common
ValueCountFrequency (%)
7640
81.5%
) 560
 
6.0%
( 559
 
6.0%
1 284
 
3.0%
2 126
 
1.3%
9 51
 
0.5%
- 39
 
0.4%
3 32
 
0.3%
/ 24
 
0.3%
0 16
 
0.2%
Other values (10) 39
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77891
88.7%
ASCII 9796
 
11.2%
None 81
 
0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7640
78.0%
) 560
 
5.7%
( 559
 
5.7%
1 284
 
2.9%
2 126
 
1.3%
K 59
 
0.6%
9 51
 
0.5%
S 48
 
0.5%
G 43
 
0.4%
L 41
 
0.4%
Other values (44) 385
 
3.9%
Hangul
ValueCountFrequency (%)
시 4684
 
6.0%
과 4234
 
5.4%
경 3356
 
4.3%
원 2582
 
3.3%
도 2523
 
3.2%
청 2120
 
2.7%
환 2095
 
2.7%
기 1974
 
2.5%
성 1878
 
2.4%
지 1796
 
2.3%
Other values (509) 50649
65.0%
None
ValueCountFrequency (%)
㈜ 80
98.8%
· 1
 
1.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%

전화번호
Text

MISSING 

Distinct2699
Distinct (%)39.0%
Missing3080
Missing (%)30.8%
Memory size156.2 KiB
2024-05-03T19:10:43.288000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.309538
Min length9

Characters and Unicode

Total characters85182
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

Unique2179 ?
Unique (%)31.5%

Sample

1st row02-3677-2327
2nd row031-584-9000
3rd row031-5189-6783
4th row031-459-8800
5th row031-585-0758
ValueCountFrequency (%)
031-5189-6783 774
 
11.2%
031-678-2693 193
 
2.8%
031-8075-5243 172
 
2.5%
031-8075-6243 169
 
2.4%
031-8075-7563 143
 
2.1%
031-8075-6245 98
 
1.4%
032-625-4846 89
 
1.3%
032-625-5653 78
 
1.1%
000-000-0000 75
 
1.1%
032-625-7344 59
 
0.9%
Other values (2689) 5070
73.3%
2024-05-03T19:10:44.377501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13833
16.2%
0 12532
14.7%
3 11916
14.0%
1 9792
11.5%
8 7342
8.6%
5 6096
7.2%
2 5299
 
6.2%
7 5248
 
6.2%
6 5199
 
6.1%
4 4633
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71349
83.8%
Dash Punctuation 13833
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12532
17.6%
3 11916
16.7%
1 9792
13.7%
8 7342
10.3%
5 6096
8.5%
2 5299
7.4%
7 5248
7.4%
6 5199
7.3%
4 4633
 
6.5%
9 3292
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 13833
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 13833
16.2%
0 12532
14.7%
3 11916
14.0%
1 9792
11.5%
8 7342
8.6%
5 6096
7.2%
2 5299
 
6.2%
7 5248
 
6.2%
6 5199
 
6.1%
4 4633
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13833
16.2%
0 12532
14.7%
3 11916
14.0%
1 9792
11.5%
8 7342
8.6%
5 6096
7.2%
2 5299
 
6.2%
7 5248
 
6.2%
6 5199
 
6.1%
4 4633
 
5.4%

개방시간
Text

Distinct390
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T19:10:44.797801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length6.8905
Min length1

Characters and Unicode

Total characters68905
Distinct characters111
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)1.7%

Sample

1st row00:00~24:00
2nd row정시
3rd row정시
4th row영업중
5th row정시
ValueCountFrequency (%)
24시간 2554
25.1%
정시 1246
12.3%
09:00~18:00 917
 
9.0%
00:00~24:00 902
 
8.9%
연중무휴 354
 
3.5%
상시 352
 
3.5%
24시 314
 
3.1%
9시간 268
 
2.6%
00:00~00:00 231
 
2.3%
208
 
2.0%
Other values (400) 2811
27.7%
2024-05-03T19:10:45.751380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22054
32.0%
: 8241
 
12.0%
시 6058
 
8.8%
2 5820
 
8.4%
4 4130
 
6.0%
~ 4075
 
5.9%
간 3192
 
4.6%
1 2415
 
3.5%
9 2160
 
3.1%
8 1819
 
2.6%
Other values (101) 8941
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40249
58.4%
Other Letter 14344
 
20.8%
Other Punctuation 8256
 
12.0%
Math Symbol 4414
 
6.4%
Close Punctuation 511
 
0.7%
Open Punctuation 511
 
0.7%
Dash Punctuation 462
 
0.7%
Space Separator 157
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6058
42.2%
간 3192
22.3%
정 1248
 
8.7%
휴 492
 
3.4%
중 433
 
3.0%
상 396
 
2.8%
무 385
 
2.7%
연 355
 
2.5%
일 354
 
2.5%
평 191
 
1.3%
Other values (78) 1240
 
8.6%
Decimal Number
ValueCountFrequency (%)
0 22054
54.8%
2 5820
 
14.5%
4 4130
 
10.3%
1 2415
 
6.0%
9 2160
 
5.4%
8 1819
 
4.5%
3 703
 
1.7%
6 602
 
1.5%
7 281
 
0.7%
5 265
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 8241
99.8%
, 12
 
0.1%
' 2
 
< 0.1%
; 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 4075
92.3%
+ 309
 
7.0%
∼ 27
 
0.6%
～ 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 511
100.0%
Open Punctuation
ValueCountFrequency (%)
( 511
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 462
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54560
79.2%
Hangul 14344
 
20.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6058
42.2%
간 3192
22.3%
정 1248
 
8.7%
휴 492
 
3.4%
중 433
 
3.0%
상 396
 
2.8%
무 385
 
2.7%
연 355
 
2.5%
일 354
 
2.5%
평 191
 
1.3%
Other values (78) 1240
 
8.6%
Common
ValueCountFrequency (%)
0 22054
40.4%
: 8241
 
15.1%
2 5820
 
10.7%
4 4130
 
7.6%
~ 4075
 
7.5%
1 2415
 
4.4%
9 2160
 
4.0%
8 1819
 
3.3%
3 703
 
1.3%
6 602
 
1.1%
Other values (12) 2541
 
4.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54531
79.1%
Hangul 14344
 
20.8%
Math Operators 27
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22054
40.4%
: 8241
 
15.1%
2 5820
 
10.7%
4 4130
 
7.6%
~ 4075
 
7.5%
1 2415
 
4.4%
9 2160
 
4.0%
8 1819
 
3.3%
3 703
 
1.3%
6 602
 
1.1%
Other values (11) 2512
 
4.6%
Hangul
ValueCountFrequency (%)
시 6058
42.2%
간 3192
22.3%
정 1248
 
8.7%
휴 492
 
3.4%
중 433
 
3.0%
상 396
 
2.8%
무 385
 
2.7%
연 355
 
2.5%
일 354
 
2.5%
평 191
 
1.3%
Other values (78) 1240
 
8.6%
Math Operators
ValueCountFrequency (%)
∼ 27
100.0%
None
ValueCountFrequency (%)
～ 3
100.0%

설치연월
Date

MISSING 

Distinct406
Distinct (%)16.5%
Missing7533
Missing (%)75.3%
Memory size156.2 KiB
Minimum1910-01-01 00:00:00
Maximum2024-12-01 00:00:00
2024-05-03T19:10:46.186098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:10:46.570381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

MISSING 

Distinct7335
Distinct (%)76.6%
Missing429
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean37.427275
Minimum36.913892
Maximum38.215251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:47.242766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.913892
5-th percentile37.014514
Q137.268603
median37.392566
Q337.627226
95-th percentile37.89256
Maximum38.215251
Range1.3013594
Interquartile range (IQR)0.35862238

Descriptive statistics

Standard deviation0.250366
Coefficient of variation (CV)0.0066893997
Kurtosis-0.26735682
Mean37.427275
Median Absolute Deviation (MAD)0.15458683
Skewness0.36380437
Sum358216.45
Variance0.062683135
MonotonicityNot monotonic
2024-05-03T19:10:47.900068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3248199688 30
 
0.3%
37.545418129 22
 
0.2%
37.2452107947 21
 
0.2%
37.738067642 20
 
0.2%
37.3252806166 18
 
0.2%
37.1374720666 18
 
0.2%
37.0478187481 15
 
0.1%
37.6470962619 13
 
0.1%
37.8946984341 13
 
0.1%
37.1490352115 13
 
0.1%
Other values (7325) 9388
93.9%
(Missing) 429
 
4.3%
ValueCountFrequency (%)
36.9138918749 2
< 0.1%
36.9140357562 1
< 0.1%
36.9145005642 1
< 0.1%
36.9148590029 1
< 0.1%
36.9151474492 1
< 0.1%
36.915604861 1
< 0.1%
36.9168894764 1
< 0.1%
36.917140064 1
< 0.1%
36.9214457112 1
< 0.1%
36.9291456705 1
< 0.1%
ValueCountFrequency (%)
38.2152513068 1
 
< 0.1%
38.213410197 1
 
< 0.1%
38.2125985455 1
 
< 0.1%
38.1945203475 1
 
< 0.1%
38.1899969774 1
 
< 0.1%
38.1895727559 1
 
< 0.1%
38.18579791 1
 
< 0.1%
38.1841297682 1
 
< 0.1%
38.183103501 3
< 0.1%
38.182950099 2
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct7335
Distinct (%)76.6%
Missing429
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean127.02395
Minimum126.5295
Maximum127.77474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:10:48.469397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5295
5-th percentile126.75044
Q1126.83273
median127.02575
Q3127.13495
95-th percentile127.49093
Maximum127.77474
Range1.2452395
Interquartile range (IQR)0.30222421

Descriptive statistics

Standard deviation0.22437943
Coefficient of variation (CV)0.001766434
Kurtosis0.31246224
Mean127.02395
Median Absolute Deviation (MAD)0.15888696
Skewness0.71876155
Sum1215746.3
Variance0.050346129
MonotonicityNot monotonic
2024-05-03T19:10:49.023684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7870055968 30
 
0.3%
127.2237611843 22
 
0.2%
127.6136549141 21
 
0.2%
127.0337930438 20
 
0.2%
126.7886604344 18
 
0.2%
126.9240117072 18
 
0.2%
126.7615692757 15
 
0.1%
126.8948092677 13
 
0.1%
127.2003394909 13
 
0.1%
127.0776575014 13
 
0.1%
Other values (7325) 9388
93.9%
(Missing) 429
 
4.3%
ValueCountFrequency (%)
126.5294965787 2
< 0.1%
126.5308936298 2
< 0.1%
126.5324087249 2
< 0.1%
126.5352353216 2
< 0.1%
126.5353486923 1
< 0.1%
126.5357397725 1
< 0.1%
126.5366528586 1
< 0.1%
126.5368724019 2
< 0.1%
126.5374401377 1
< 0.1%
126.5407868737 1
< 0.1%
ValueCountFrequency (%)
127.7747360745 1
< 0.1%
127.7674490075 1
< 0.1%
127.754686365 1
< 0.1%
127.7542707352 1
< 0.1%
127.7525763206 1
< 0.1%
127.7511801375 1
< 0.1%
127.7509313108 1
< 0.1%
127.7434122913 1
< 0.1%
127.7275987246 1
< 0.1%
127.7275117909 1
< 0.1%

화장실소유구분
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
5075 
지방자치단체
1400 
공공기관-지방자치단체
1184 
민간
818 
공공기관-지방공공기관(지방공기업/지방출자출연기관)
 
458
Other values (14)
1065 

Length

Max length27
Median length1
Mean length4.7925
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row공공기관-지방자치단체
2nd row민간소유-개인
3rd row공공기관-지방자치단체
4th rowN
5th row민간소유-개인

Common Values

ValueCountFrequency (%)
N 5075
50.7%
지방자치단체 1400
 
14.0%
공공기관-지방자치단체 1184
 
11.8%
민간 818
 
8.2%
공공기관-지방공공기관(지방공기업/지방출자출연기관) 458
 
4.6%
공공기관 240
 
2.4%
데이터미보유 179
 
1.8%
2022-04-11 171
 
1.7%
민간소유-개인 126
 
1.3%
2022-04-18 105
 
1.1%
Other values (9) 244
 
2.4%

Length

2024-05-03T19:10:49.574553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n 5075
50.7%
지방자치단체 1400
 
14.0%
공공기관-지방자치단체 1184
 
11.8%
민간 818
 
8.2%
공공기관-지방공공기관(지방공기업/지방출자출연기관 458
 
4.6%
공공기관 240
 
2.4%
데이터미보유 179
 
1.8%
2022-04-11 171
 
1.7%
민간소유-개인 126
 
1.3%
2022-04-18 105
 
1.1%
Other values (9) 244
 
2.4%

화장실설치장소유형
Categorical

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
5089 
공공용시설
1469 
-
945 
관광·체육시설
 
504
주유소·충전소
 
468
Other values (22)
1525 

Length

Max length19
Median length1
Mean length3.003
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row공공용시설
2nd row주유소충전소
3rd row-
4th rowN
5th row주유소충전소

Common Values

ValueCountFrequency (%)
N 5089
50.9%
공공용시설 1469
 
14.7%
- 945
 
9.4%
관광·체육시설 504
 
5.0%
주유소·충전소 468
 
4.7%
법제3조제3호 386
 
3.9%
기타 284
 
2.8%
상업시설 218
 
2.2%
데이터미보유 179
 
1.8%
교통시설 97
 
1.0%
Other values (17) 361
 
3.6%

Length

2024-05-03T19:10:50.239285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n 5089
50.7%
공공용시설 1469
 
14.6%
945
 
9.4%
관광·체육시설 504
 
5.0%
주유소·충전소 468
 
4.7%
법제3조제3호 386
 
3.8%
기타 284
 
2.8%
상업시설 218
 
2.2%
데이터미보유 179
 
1.8%
교통시설 97
 
1.0%
Other values (20) 398
 
4.0%

오물처리방식
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
5070 
수세식
4325 
수거식
 
255
데이터미보유
 
179
-
 
171

Length

Max length6
Median length1
Mean length2.0055
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 5070
50.7%
수세식 4325
43.2%
수거식 255
 
2.5%
데이터미보유 179
 
1.8%
- 171
 
1.7%

Length

2024-05-03T19:10:50.768032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:10:51.062283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 5070
50.7%
수세식 4325
43.2%
수거식 255
 
2.5%
데이터미보유 179
 
1.8%
171
 
1.7%

비상벨설치여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8523 
True
1477 
ValueCountFrequency (%)
False 8523
85.2%
True 1477
 
14.8%
2024-05-03T19:10:51.358017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상벨설치장소
Categorical

IMBALANCE 

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
5497 
<NA>
2664 
여자화장실
936 
없음
 
195
-
 
171
Other values (38)
 
537

Length

Max length33
Median length1
Mean length2.708
Min length1

Unique

Unique24 ?
Unique (%)0.2%

Sample

1st row여자화장실
2nd row<NA>
3rd row장애인화장실+여자화장실
4th rowN
5th row<NA>

Common Values

ValueCountFrequency (%)
N 5497
55.0%
<NA> 2664
26.6%
여자화장실 936
 
9.4%
없음 195
 
1.9%
- 171
 
1.7%
장애인화장실+여자화장실 130
 
1.3%
남자화장실+여자화장실 98
 
1.0%
장애인화장실 95
 
0.9%
장애인화장실+남자화장실+여자화장실 38
 
0.4%
장애인+남자+여자화장실 30
 
0.3%
Other values (33) 146
 
1.5%

Length

2024-05-03T19:10:51.754617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n 5497
54.9%
na 2664
26.6%
여자화장실 938
 
9.4%
없음 195
 
1.9%
171
 
1.7%
장애인화장실+여자화장실 130
 
1.3%
남자화장실+여자화장실 98
 
1.0%
장애인화장실 95
 
0.9%
장애인화장실+남자화장실+여자화장실 38
 
0.4%
장애인+남자+여자화장실 30
 
0.3%
Other values (34) 149
 
1.5%

화장실여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9012 
True
988 
ValueCountFrequency (%)
False 9012
90.1%
True 988
 
9.9%
2024-05-03T19:10:52.105873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

설치여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9109 
True
 
891
ValueCountFrequency (%)
False 9109
91.1%
True 891
 
8.9%
2024-05-03T19:10:52.377402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기저귀교환대장소
Categorical

IMBALANCE 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
5495 
<NA>
3208 
여자화장실
593 
없음
 
259
남자화장실+여자화장실
 
178
Other values (21)
 
267

Length

Max length18
Median length1
Mean length2.4595
Min length1

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th rowN
5th row<NA>

Common Values

ValueCountFrequency (%)
N 5495
54.9%
<NA> 3208
32.1%
여자화장실 593
 
5.9%
없음 259
 
2.6%
남자화장실+여자화장실 178
 
1.8%
- 172
 
1.7%
남자+여자화장실 35
 
0.4%
Y 21
 
0.2%
남자화장실 12
 
0.1%
여자화장실+남자화장실 5
 
0.1%
Other values (16) 22
 
0.2%

Length

2024-05-03T19:10:52.797363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n 5495
54.9%
na 3208
32.1%
여자화장실 593
 
5.9%
없음 259
 
2.6%
남자화장실+여자화장실 178
 
1.8%
172
 
1.7%
남자+여자화장실 35
 
0.3%
y 21
 
0.2%
남자화장실 12
 
0.1%
남자화장실/여자화장실 5
 
< 0.1%
Other values (17) 23
 
0.2%

리모델링연월
Date

MISSING 

Distinct54
Distinct (%)15.1%
Missing9642
Missing (%)96.4%
Memory size156.2 KiB
Minimum1990-09-01 00:00:00
Maximum2024-12-01 00:00:00
2024-05-03T19:10:53.163417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:10:53.458263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-12-31
1742 
2022-04-08
1293 
2024-01-29
774 
2022-04-04
688 
2023-12-19
592 
Other values (23)
4911 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-11
2nd row2024-01-02
3rd row2024-01-29
4th row2022-04-06
5th row2024-01-02

Common Values

ValueCountFrequency (%)
2021-12-31 1742
17.4%
2022-04-08 1293
12.9%
2024-01-29 774
 
7.7%
2022-04-04 688
 
6.9%
2023-12-19 592
 
5.9%
2022-04-12 531
 
5.3%
2023-03-21 416
 
4.2%
2024-04-01 339
 
3.4%
2022-04-11 277
 
2.8%
2024-02-19 240
 
2.4%
Other values (18) 3108
31.1%

Length

2024-05-03T19:10:53.916070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-12-31 1742
17.4%
2022-04-08 1293
12.9%
2024-01-29 774
 
7.7%
2022-04-04 688
 
6.9%
2023-12-19 592
 
5.9%
2022-04-12 531
 
5.3%
2023-03-21 416
 
4.2%
2024-04-01 339
 
3.4%
2022-04-11 277
 
2.8%
2024-02-19 240
 
2.4%
Other values (18) 3108
31.1%

Sample

구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치여부비상벨설치장소화장실여부설치여부기저귀교환대장소리모델링연월데이터기준일자
7109개방화장실양재천 공중화장실3경기도 과천시 과천동 550-2경기도 과천시 과천동 550-2N120000200공원녹지과02-3677-232700:00~24:001910-0137.455104127.01311공공기관-지방자치단체공공용시설수세식Y여자화장실NN<NA><NA>2024-04-11
10245개방화장실청풍주유소경기도 가평군 청평면 경춘로 257경기도 가평군 청평면 대성리 344-17N110000100청풍주유소031-584-9000정시1996-0837.698472127.384318민간소유-개인주유소충전소수세식N<NA>YN<NA><NA>2024-01-02
3151공중화장실청경초소 화장실경기도 화성시 서신면 제부말길 4경기도 화성시 서신면 제부리 3-6번지Y221000210경기도 화성시031-5189-6783정시2021-0137.174637126.63128공공기관-지방자치단체-수세식N장애인화장실+여자화장실NN<NA><NA>2024-01-29
1599공중화장실MG새마을 금고 부곡지점경기도 의왕시 부곡중앙로 23경기도 의왕시 삼동 192-7번지N111100110새마을금고031-459-8800영업중<NA>37.321254126.95163NNNNNNNN<NA>2022-04-06
10242개방화장실대성주유소경기도 가평군 조종면 청군로 1184경기도 가평군 조종면 현리 477-252N110000100대성주유소031-585-0758정시1994-1137.810994127.352231민간소유-개인주유소충전소수세식N<NA>NN<NA><NA>2024-01-02
3659개방화장실미래주유소경기도 의정부시 동일로 492 (신곡동)경기도 의정부시 신곡동 351-9번지Y220000100미래주유소<NA>06:00~00:00<NA>37.732315127.059034민간주유소·충전소수세식N<NA>YN<NA><NA>2023-04-13
4725공중화장실안중근공원경기도 부천시 송내대로 236경기도 부천시 중동 1169N231001210경기도 부천시청 공원관리과032-625-484624시간<NA>37.504442126.759041NNNNNNNN<NA>2022-04-12
4510공중화장실송내역경기도 부천시 송내대로 43경기도 부천시 송내동 632-4 송내전철역N8910011810경기도 부천시청 교통정책과(한국철도공사)<NA>24시간<NA>37.487674126.752782NNNNNNNN<NA>2022-04-12
3285공중화장실은실어린이공원(여)<NA>경기도 평택시 세교동 288-1N000000220공원과-관리1팀<NA>24시간<NA>37.008108127.087306NNNNNNNN<NA>2021-12-31
5062공중화장실주금산 등산로 화장실경기도 포천시 내촌면 안골길 106경기도 포천시 내촌면 안골길 106, 공공화장실N110000200내촌면<NA>24시간<NA>37.784369127.238444NNNNNNNN<NA>2022-04-08
구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치여부비상벨설치장소화장실여부설치여부기저귀교환대장소리모델링연월데이터기준일자
4363공중화장실호수공원 포구광장경기도 안산시 상록구 광덕대로 70경기도 안산시 상록구 사동 1513N331000610공원과031-481-246800:00~24:00<NA>37.302114126.830075NNNNNNNN<NA>2022-04-04
3239개방화장실오산지구대경기도 오산시 운암로 11경기도 오산시 원동 813-13N220000100오산경찰서031-378-1112연중무휴<NA>37.147424127.075899NNNNNNNN<NA>2021-12-31
7067공중화장실팔달노인복지관 2층경기도 수원시 팔달구 수원천로 343(북수동)경기도 수원시 팔달구 북수동 274-7N220000500팔달노인복지관<NA>정시<NA>37.283943127.017364공공기관-지방자치단체법제3조제3호수세식Y여자화장실YN<NA><NA>2023-12-19
4473공중화장실진달래공원<NA>경기도 부천시 상동 526-2N111000210경기도 부천시청 공원관리과032-625-484624시간<NA>37.50987126.755775NNNNNNNN<NA>2022-04-12
3176공중화장실홈플러스 지하2층경기도 오산시 청학로 238경기도 오산시 수청동 610N231001410홈플러스031-8036-643210:00~24:00<NA>37.170062127.061793NNNNNNNN<NA>2021-12-31
876공중화장실처음주유소경기도 고양시 덕양구 중앙로 209경기도 고양시 덕양구 중앙로 209N110000100덕양구 청소농정과031-8075-524324시간<NA>37.605209126.866905NNNNNNNN<NA>2022-04-08
10264공중화장실만안보건소 화장실경기도 안양시 만안구 문예로 48경기도 안양시 만안구 안양동 532-1N131100210안양시 만안보건소031-8045-340409:00~18:002000-0437.385848126.93295지방자치단체공공용시설수세식N없음NN없음<NA>2024-02-19
8384공중화장실용인시처인장애인복지관경기도 용인시 처인구 경안천로 318경기도 용인시 처인구 고림동 820-154번지N78780011111용인시처인장애인복지관031-320-480009:00~18:002005-0637.259454127.219328지방자치단체공공용시설수세식Y남자화장실+여자화장실NN<NA><NA>2023-03-21
2348공중화장실율동공원(번지점프장)<NA>성남시 분당구 율동 431N121100210성남시청 자원순환과<NA>24시<NA>37.376448127.148074NNNNNNNN<NA>2021-12-31
1812공중화장실지하철 분당선 정자역<NA>성남시 분당구 성남대로 333 (정자동 95-1)N291100910성남시청 자원순환과<NA>05시~0시30분<NA><NA><NA>NNNNNNNN<NA>2021-12-31

Duplicate rows

Most frequently occurring

구분화장실명소재지도로명주소소재지지번주소남녀공용화장실여부남성용-대변기수남성용-소변기수남성용-장애인용대변기수남성용-장애인용소변기수남성용-어린이용대변기수남성용-어린이용소변기수여성용-대변기수여성용-장애인용대변기수여성용-어린이용대변기수관리기관명전화번호개방시간설치연월위도경도화장실소유구분화장실설치장소유형오물처리방식비상벨설치여부비상벨설치장소화장실여부설치여부기저귀교환대장소리모델링연월데이터기준일자# duplicates
137공중화장실송탄보건소경기도 평택시 서정로 295경기도 평택시 서정로 295N440000800평택시 송탄보건소 보건사업과<NA>9시간<NA>37.065785127.0665NNNNNNNN<NA>2021-12-314
186공중화장실여성회관경기도 평택시 이충로 84-6경기도 평택시 이충로 84-6N111100310평택시 여성회관<NA>24시간<NA>37.0644127.067464NNNNNNNN<NA>2021-12-314
44공중화장실농업기술센터경기도 평택시 오성면 청오로 33-58경기도 평택시 오성면 청오로 33-58N450000400평택시 농업기술센터<NA>9시간<NA>37.014393126.980821NNNNNNNN<NA>2021-12-313
91공중화장실반월동행정복지센터경기도 화성시 영통로61번길 32 (반월동, 반월동주민자치센터)경기도 화성시 반월동 856번지 반월동주민자치센터Y221100311경기도 화성시031-5189-6783정시2020-0637.233138127.060594공공기관-지방자치단체-수세식N<NA>NN<NA><NA>2024-01-293
151공중화장실신장1동 주민센터경기도 평택시 신장로90번길 63경기도 평택시 신장로90번길 63N120000200평택시 신장 1동<NA>9시간<NA>37.08395127.0524NNNNNNNN<NA>2021-12-313
164공중화장실안중도서관경기도 평택시 안중읍 서동대로 1531경기도 평택시 안중읍 서동대로 1531N340000500평택시립도서관<NA>13시간<NA>36.990134126.920146NNNNNNNN<NA>2021-12-313
244공중화장실지산초록도서관경기도 평택시 지산로 48경기도 평택시 지산로 48N231100510평택시립도서관<NA>13시간<NA>37.078968127.060338NNNNNNNN<NA>2021-12-313
254공중화장실청북읍 행정복지센터경기도 평택시 청북읍 청원로 2경기도 평택시 청북읍 청원로 2N231100310평택시 청북읍<NA>9시간<NA>37.040071126.934587NNNNNNNN<NA>2021-12-313
303공중화장실평택우체국경기도 평택시 중앙로 63경기도 평택시 중앙로 63N231100210평택우체국 지원과<NA>9시간<NA>36.994557127.0901NNNNNNNN<NA>2021-12-313
0개방화장실황학산수목원화장실경기도 여주시 황학산수목원길 73경기도 여주시 매룡동 282 황학산수목원N351000710지자체(산림공원과)031-887-274409:00~18:002012-0137.278742127.647027NNNNNNNN<NA>2022-04-152