Overview

Dataset statistics

Number of variables67
Number of observations4585
Missing cells120230
Missing cells (%)39.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory554.0 B

Variable types

Text21
Boolean1
Categorical29
Unsupported14
Numeric2

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-365/S/1/datasetView.do

Alerts

다국어 (필수 입력) has constant value ""Constant
공간객체타입 (조건부 선택 입력) has constant value ""Constant
웹URL (선택 입력) has constant value ""Constant
동영상 웹 링크 URL (선택 입력) has constant value ""Constant
상세 제목14 (선택 입력) has constant value ""Constant
상세 내용14 (선택 입력) has constant value ""Constant
사용유무 (필수입력) is highly imbalanced (76.4%)Imbalance
라인 색상 (조건부 선택 입력) is highly imbalanced (61.8%)Imbalance
라인 패턴 (조건부 선택 입력) is highly imbalanced (85.0%)Imbalance
라인두께 (조건부 선택) is highly imbalanced (59.4%)Imbalance
상세 제목1 (선택 입력) is highly imbalanced (94.3%)Imbalance
상세 내용1 (선택 입력) is highly imbalanced (56.4%)Imbalance
상세 제목2 (선택 입력) is highly imbalanced (98.3%)Imbalance
상세 제목3 (선택 입력) is highly imbalanced (90.3%)Imbalance
상세 제목4 (선택 입력) is highly imbalanced (91.4%)Imbalance
상세 제목5 (선택 입력) is highly imbalanced (93.2%)Imbalance
상세 제목6 (선택 입력) is highly imbalanced (65.3%)Imbalance
상세 내용6 (선택 입력) is highly imbalanced (89.7%)Imbalance
상세 제목7 (선택 입력) is highly imbalanced (86.0%)Imbalance
상세 내용7 (선택 입력) is highly imbalanced (92.1%)Imbalance
상세 제목8 (선택 입력) is highly imbalanced (91.7%)Imbalance
상세 제목9 (선택 입력) is highly imbalanced (91.0%)Imbalance
상세 제목11 (선택 입력) is highly imbalanced (91.3%)Imbalance
상세 내용11 (선택 입력) is highly imbalanced (97.1%)Imbalance
상세 제목12 (선택 입력) is highly imbalanced (94.2%)Imbalance
상세 제목13 (선택 입력) is highly imbalanced (93.4%)Imbalance
상세 내용13 (선택 입력) is highly imbalanced (97.8%)Imbalance
상세 제목15 (선택 입력) is highly imbalanced (93.7%)Imbalance
상세 내용15 (선택 입력) is highly imbalanced (98.0%)Imbalance
상세 제목17 (선택 입력) is highly imbalanced (91.2%)Imbalance
상세 내용17 (선택 입력) is highly imbalanced (97.1%)Imbalance
시군 (선택입력) has 4585 (100.0%) missing valuesMissing
새주소[도로명 주소] (조건부 선택 입력) has 259 (5.6%) missing valuesMissing
키워드 has 4585 (100.0%) missing valuesMissing
전화번호 (선택 입력) has 59 (1.3%) missing valuesMissing
웹URL (선택 입력) has 4584 (> 99.9%) missing valuesMissing
동영상 웹 링크 URL (선택 입력) has 4584 (> 99.9%) missing valuesMissing
음성파일 웹 링크 URL (선택 입력) has 4585 (100.0%) missing valuesMissing
사진 정보1[URL or 파일명] (선택 입력) has 4561 (99.5%) missing valuesMissing
사진 정보2[URL or 파일명] (선택 입력) has 4582 (99.9%) missing valuesMissing
사진 정보3[URL or 파일명] (선택 입력) has 4583 (> 99.9%) missing valuesMissing
사진 정보4[URL or 파일명] (선택 입력) has 4585 (100.0%) missing valuesMissing
사진 정보5[URL or 파일명] (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 내용4 (선택 입력) has 2632 (57.4%) missing valuesMissing
상세 내용5 (선택 입력) has 2744 (59.8%) missing valuesMissing
상세 내용8 (선택 입력) has 4516 (98.5%) missing valuesMissing
상세 내용9 (선택 입력) has 4533 (98.9%) missing valuesMissing
상세 제목10 (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 내용10 (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 내용12 (선택 입력) has 4533 (98.9%) missing valuesMissing
상세 제목14 (선택 입력) has 4584 (> 99.9%) missing valuesMissing
상세 내용14 (선택 입력) has 4584 (> 99.9%) missing valuesMissing
상세 제목16 (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 내용16 (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 제목18 (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 내용18 (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 제목19 (선택 입력) has 4585 (100.0%) missing valuesMissing
상세 내용19 (선택 입력) has 4583 (> 99.9%) missing valuesMissing
상세 제목20 (선택 입력) has 81 (1.8%) missing valuesMissing
시계열 시작 일자 (선택 입력) has 4585 (100.0%) missing valuesMissing
시계열 종료 일자 (선택 입력) has 4585 (100.0%) missing valuesMissing
콘텐츠 ID (필수 입력) has unique valuesUnique
시군 (선택입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
키워드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음성파일 웹 링크 URL (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
사진 정보4[URL or 파일명] (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
사진 정보5[URL or 파일명] (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세 제목10 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세 내용10 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세 제목16 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세 내용16 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세 제목18 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세 내용18 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세 제목19 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
시계열 시작 일자 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported
시계열 종료 일자 (선택 입력) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 10:20:03.638624
Analysis finished2023-12-11 10:20:05.901556
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콘텐츠 ID (필수 입력)
Text

UNIQUE 

Distinct4585
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-11T19:20:06.117464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.963141
Min length8

Characters and Unicode

Total characters59436
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4585 ?
Unique (%)100.0%

Sample

1st rowtestgu09-0017
2nd rowtestgu09-0015
3rd rowtestgu09-0014
4th rowtestgu09-0013
5th rowtestgu09-0012
ValueCountFrequency (%)
testgu09-0017 1
 
< 0.1%
restgu11_0175 1
 
< 0.1%
restgu11_0169 1
 
< 0.1%
restgu11_0170 1
 
< 0.1%
restgu11_0171 1
 
< 0.1%
restgu11_0172 1
 
< 0.1%
restgu11_0164 1
 
< 0.1%
restgu11_0174 1
 
< 0.1%
restgu11_0176 1
 
< 0.1%
restgu11_0167 1
 
< 0.1%
Other values (4575) 4575
99.8%
2023-12-11T19:20:06.979258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10358
17.4%
s 5183
8.7%
1 4846
8.2%
t 4590
7.7%
e 4584
7.7%
r 4578
7.7%
_ 4390
7.4%
g 3985
 
6.7%
u 3985
 
6.7%
2 2984
 
5.0%
Other values (9) 9953
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27504
46.3%
Decimal Number 27349
46.0%
Connector Punctuation 4390
 
7.4%
Dash Punctuation 193
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10358
37.9%
1 4846
17.7%
2 2984
 
10.9%
3 1613
 
5.9%
4 1504
 
5.5%
5 1355
 
5.0%
9 1214
 
4.4%
8 1205
 
4.4%
6 1159
 
4.2%
7 1111
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
s 5183
18.8%
t 4590
16.7%
e 4584
16.7%
r 4578
16.6%
g 3985
14.5%
u 3985
14.5%
a 599
 
2.2%
Connector Punctuation
ValueCountFrequency (%)
_ 4390
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31932
53.7%
Latin 27504
46.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10358
32.4%
1 4846
15.2%
_ 4390
13.7%
2 2984
 
9.3%
3 1613
 
5.1%
4 1504
 
4.7%
5 1355
 
4.2%
9 1214
 
3.8%
8 1205
 
3.8%
6 1159
 
3.6%
Other values (2) 1304
 
4.1%
Latin
ValueCountFrequency (%)
s 5183
18.8%
t 4590
16.7%
e 4584
16.7%
r 4578
16.6%
g 3985
14.5%
u 3985
14.5%
a 599
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10358
17.4%
s 5183
8.7%
1 4846
8.2%
t 4590
7.7%
e 4584
7.7%
r 4578
7.7%
_ 4390
7.4%
g 3985
 
6.7%
u 3985
 
6.7%
2 2984
 
5.0%
Other values (9) 9953
16.7%

사용유무 (필수입력)
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
True
4408 
False
 
177
ValueCountFrequency (%)
True 4408
96.1%
False 177
 
3.9%
2023-12-11T19:20:07.167557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

콘텐츠명 (필수 입력)
Text

Distinct4438
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-11T19:20:07.525584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length26
Mean length7.5890949
Min length2

Characters and Unicode

Total characters34796
Distinct characters660
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4323 ?
Unique (%)94.3%

Sample

1st row미아지구대
2nd row강북경찰서 화장실(본관 1층)
3rd row강북중학교 앞 공중화장실
4th row강북소방서 앞 공중화장실
5th row번동 가로공원 공중화장실
ValueCountFrequency (%)
화장실 153
 
2.6%
주민센터 149
 
2.5%
공중화장실 72
 
1.2%
1층 33
 
0.6%
화장실(1층 32
 
0.5%
옆 23
 
0.4%
주유소 21
 
0.4%
노원경찰서 21
 
0.4%
앞 19
 
0.3%
삼성동 18
 
0.3%
Other values (4660) 5324
90.8%
2023-12-11T19:20:08.064711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1368
 
3.9%
주 1019
 
2.9%
동 997
 
2.9%
장 986
 
2.8%
화 804
 
2.3%
소 732
 
2.1%
원 710
 
2.0%
공 699
 
2.0%
터 680
 
2.0%
센 640
 
1.8%
Other values (650) 26161
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30386
87.3%
Space Separator 1368
 
3.9%
Decimal Number 1276
 
3.7%
Close Punctuation 534
 
1.5%
Open Punctuation 534
 
1.5%
Uppercase Letter 330
 
0.9%
Other Symbol 115
 
0.3%
Dash Punctuation 87
 
0.3%
Other Punctuation 82
 
0.2%
Lowercase Letter 50
 
0.1%
Other values (2) 34
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1019
 
3.4%
동 997
 
3.3%
장 986
 
3.2%
화 804
 
2.6%
소 732
 
2.4%
원 710
 
2.3%
공 699
 
2.3%
터 680
 
2.2%
센 640
 
2.1%
실 628
 
2.1%
Other values (582) 22491
74.0%
Uppercase Letter
ValueCountFrequency (%)
S 87
26.4%
K 72
21.8%
G 26
 
7.9%
B 26
 
7.9%
A 24
 
7.3%
C 17
 
5.2%
L 11
 
3.3%
D 10
 
3.0%
T 9
 
2.7%
P 8
 
2.4%
Other values (14) 40
12.1%
Lowercase Letter
ValueCountFrequency (%)
s 9
18.0%
k 7
14.0%
a 4
 
8.0%
e 4
 
8.0%
t 3
 
6.0%
b 3
 
6.0%
n 2
 
4.0%
d 2
 
4.0%
i 2
 
4.0%
l 2
 
4.0%
Other values (9) 12
24.0%
Decimal Number
ValueCountFrequency (%)
1 590
46.2%
2 273
21.4%
3 139
 
10.9%
9 92
 
7.2%
4 83
 
6.5%
5 43
 
3.4%
6 21
 
1.6%
7 15
 
1.2%
0 11
 
0.9%
8 9
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 34
41.5%
: 19
23.2%
. 16
19.5%
/ 9
 
11.0%
& 1
 
1.2%
＆ 1
 
1.2%
' 1
 
1.2%
· 1
 
1.2%
Space Separator
ValueCountFrequency (%)
1368
100.0%
Close Punctuation
ValueCountFrequency (%)
) 534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 534
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Control
ValueCountFrequency (%)
32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30501
87.7%
Common 3915
 
11.3%
Latin 380
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1019
 
3.3%
동 997
 
3.3%
장 986
 
3.2%
화 804
 
2.6%
소 732
 
2.4%
원 710
 
2.3%
공 699
 
2.3%
터 680
 
2.2%
센 640
 
2.1%
실 628
 
2.1%
Other values (583) 22606
74.1%
Latin
ValueCountFrequency (%)
S 87
22.9%
K 72
18.9%
G 26
 
6.8%
B 26
 
6.8%
A 24
 
6.3%
C 17
 
4.5%
L 11
 
2.9%
D 10
 
2.6%
T 9
 
2.4%
s 9
 
2.4%
Other values (33) 89
23.4%
Common
ValueCountFrequency (%)
1368
34.9%
1 590
15.1%
) 534
 
13.6%
( 534
 
13.6%
2 273
 
7.0%
3 139
 
3.6%
9 92
 
2.3%
- 87
 
2.2%
4 83
 
2.1%
5 43
 
1.1%
Other values (14) 172
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30386
87.3%
ASCII 4293
 
12.3%
None 117
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1368
31.9%
1 590
13.7%
) 534
 
12.4%
( 534
 
12.4%
2 273
 
6.4%
3 139
 
3.2%
9 92
 
2.1%
- 87
 
2.0%
S 87
 
2.0%
4 83
 
1.9%
Other values (55) 506
 
11.8%
Hangul
ValueCountFrequency (%)
주 1019
 
3.4%
동 997
 
3.3%
장 986
 
3.2%
화 804
 
2.6%
소 732
 
2.4%
원 710
 
2.3%
공 699
 
2.3%
터 680
 
2.2%
센 640
 
2.1%
실 628
 
2.1%
Other values (582) 22491
74.0%
None
ValueCountFrequency (%)
㈜ 115
98.3%
＆ 1
 
0.9%
· 1
 
0.9%

서브카테고리 명 (선택 입력)
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
정시
2738 
상시
1792 
<NA>
 
55

Length

Max length4
Median length2
Mean length2.0239913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정시 2738
59.7%
상시 1792
39.1%
<NA> 55
 
1.2%

Length

2023-12-11T19:20:08.276241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:08.436636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정시 2738
59.7%
상시 1792
39.1%
na 55
 
1.2%

시군 (선택입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

구명 (선택입력)
Categorical

Distinct26
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
송파구
 
311
영등포구
 
304
강남구
 
292
은평구
 
236
종로구
 
235
Other values (21)
3207 

Length

Max length4
Median length3
Mean length3.0883315
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송파구 311
 
6.8%
영등포구 304
 
6.6%
강남구 292
 
6.4%
은평구 236
 
5.1%
종로구 235
 
5.1%
강서구 212
 
4.6%
노원구 207
 
4.5%
중구 204
 
4.4%
마포구 204
 
4.4%
강동구 188
 
4.1%
Other values (16) 2192
47.8%

Length

2023-12-11T19:20:08.571587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 311
 
6.8%
영등포구 304
 
6.6%
강남구 292
 
6.4%
은평구 236
 
5.1%
종로구 235
 
5.1%
강서구 212
 
4.6%
노원구 207
 
4.5%
중구 204
 
4.4%
마포구 204
 
4.4%
강동구 188
 
4.1%
Other values (16) 2192
47.8%

새주소[도로명 주소] (조건부 선택 입력)
Text

MISSING 

Distinct3863
Distinct (%)89.3%
Missing259
Missing (%)5.6%
Memory size35.9 KiB
2023-12-11T19:20:08.975332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length8.4900601
Min length1

Characters and Unicode

Total characters36728
Distinct characters302
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3604 ?
Unique (%)83.3%

Sample

1st row도봉로 127
2nd row오패산로 406
3rd row도봉로101길 71
4th row한천로109길 10
5th row한천로109길 10
ValueCountFrequency (%)
중구 115
 
1.3%
동대문구 93
 
1.0%
지하 87
 
1.0%
올림픽로 86
 
1.0%
남부순환로 73
 
0.8%
동일로 72
 
0.8%
천호대로 62
 
0.7%
통일로 49
 
0.5%
25 46
 
0.5%
6 44
 
0.5%
Other values (2850) 8230
91.9%
2023-12-11T19:20:09.506170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4937
 
13.4%
로 4047
 
11.0%
1 2586
 
7.0%
2 2033
 
5.5%
3 1551
 
4.2%
길 1485
 
4.0%
4 1309
 
3.6%
5 1228
 
3.3%
6 1090
 
3.0%
7 1063
 
2.9%
Other values (292) 15399
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17646
48.0%
Decimal Number 13656
37.2%
Space Separator 4937
 
13.4%
Dash Punctuation 455
 
1.2%
Open Punctuation 15
 
< 0.1%
Close Punctuation 15
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4047
22.9%
길 1485
 
8.4%
대 687
 
3.9%
동 585
 
3.3%
산 356
 
2.0%
구 279
 
1.6%
천 250
 
1.4%
중 223
 
1.3%
지 203
 
1.2%
남 194
 
1.1%
Other values (274) 9337
52.9%
Decimal Number
ValueCountFrequency (%)
1 2586
18.9%
2 2033
14.9%
3 1551
11.4%
4 1309
9.6%
5 1228
9.0%
6 1090
8.0%
7 1063
7.8%
0 948
 
6.9%
8 939
 
6.9%
9 909
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
4937
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 455
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19080
51.9%
Hangul 17646
48.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4047
22.9%
길 1485
 
8.4%
대 687
 
3.9%
동 585
 
3.3%
산 356
 
2.0%
구 279
 
1.6%
천 250
 
1.4%
중 223
 
1.3%
지 203
 
1.2%
남 194
 
1.1%
Other values (274) 9337
52.9%
Common
ValueCountFrequency (%)
4937
25.9%
1 2586
13.6%
2 2033
10.7%
3 1551
 
8.1%
4 1309
 
6.9%
5 1228
 
6.4%
6 1090
 
5.7%
7 1063
 
5.6%
0 948
 
5.0%
8 939
 
4.9%
Other values (6) 1396
 
7.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19082
52.0%
Hangul 17646
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4937
25.9%
1 2586
13.6%
2 2033
10.7%
3 1551
 
8.1%
4 1309
 
6.9%
5 1228
 
6.4%
6 1090
 
5.7%
7 1063
 
5.6%
0 948
 
5.0%
8 939
 
4.9%
Other values (8) 1398
 
7.3%
Hangul
ValueCountFrequency (%)
로 4047
22.9%
길 1485
 
8.4%
대 687
 
3.9%
동 585
 
3.3%
산 356
 
2.0%
구 279
 
1.6%
천 250
 
1.4%
중 223
 
1.3%
지 203
 
1.2%
남 194
 
1.1%
Other values (274) 9337
52.9%

지번주소
Text

Distinct3626
Distinct (%)79.1%
Missing3
Missing (%)0.1%
Memory size35.9 KiB
2023-12-11T19:20:09.867584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length12.274334
Min length6

Characters and Unicode

Total characters56241
Distinct characters214
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3325 ?
Unique (%)72.6%

Sample

1st row강북구 미아동 327-1
2nd row강북구 번동 415-15
3rd row강북구 수유동 647-2
4th row강북구 번동 612-3
5th row강북구 번동 612-3
ValueCountFrequency (%)
송파구 311
 
2.3%
강남구 305
 
2.3%
영등포구 304
 
2.3%
동작구 262
 
2.0%
은평구 236
 
1.8%
종로구 233
 
1.8%
강서구 212
 
1.6%
노원구 207
 
1.6%
중구 205
 
1.5%
마포구 205
 
1.5%
Other values (3440) 10764
81.3%
2023-12-11T19:20:10.428359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8791
 
15.6%
동 5231
 
9.3%
구 4942
 
8.8%
1 3192
 
5.7%
- 3095
 
5.5%
2 2159
 
3.8%
3 1727
 
3.1%
4 1456
 
2.6%
6 1368
 
2.4%
5 1362
 
2.4%
Other values (204) 22918
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28921
51.4%
Decimal Number 15426
27.4%
Space Separator 8791
 
15.6%
Dash Punctuation 3095
 
5.5%
Other Punctuation 6
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5231
 
18.1%
구 4942
 
17.1%
강 807
 
2.8%
서 655
 
2.3%
포 619
 
2.1%
로 568
 
2.0%
산 554
 
1.9%
가 518
 
1.8%
성 467
 
1.6%
신 458
 
1.6%
Other values (189) 14102
48.8%
Decimal Number
ValueCountFrequency (%)
1 3192
20.7%
2 2159
14.0%
3 1727
11.2%
4 1456
9.4%
6 1368
8.9%
5 1362
8.8%
7 1098
 
7.1%
0 1094
 
7.1%
8 1084
 
7.0%
9 886
 
5.7%
Space Separator
ValueCountFrequency (%)
8791
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3095
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28921
51.4%
Common 27320
48.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5231
 
18.1%
구 4942
 
17.1%
강 807
 
2.8%
서 655
 
2.3%
포 619
 
2.1%
로 568
 
2.0%
산 554
 
1.9%
가 518
 
1.8%
성 467
 
1.6%
신 458
 
1.6%
Other values (189) 14102
48.8%
Common
ValueCountFrequency (%)
8791
32.2%
1 3192
 
11.7%
- 3095
 
11.3%
2 2159
 
7.9%
3 1727
 
6.3%
4 1456
 
5.3%
6 1368
 
5.0%
5 1362
 
5.0%
7 1098
 
4.0%
0 1094
 
4.0%
Other values (5) 1978
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28921
51.4%
ASCII 27320
48.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8791
32.2%
1 3192
 
11.7%
- 3095
 
11.3%
2 2159
 
7.9%
3 1727
 
6.3%
4 1456
 
5.3%
6 1368
 
5.0%
5 1362
 
5.0%
7 1098
 
4.0%
0 1094
 
4.0%
Other values (5) 1978
 
7.2%
Hangul
ValueCountFrequency (%)
동 5231
 
18.1%
구 4942
 
17.1%
강 807
 
2.8%
서 655
 
2.3%
포 619
 
2.1%
로 568
 
2.0%
산 554
 
1.9%
가 518
 
1.8%
성 467
 
1.6%
신 458
 
1.6%
Other values (189) 14102
48.8%

키워드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

다국어 (필수 입력)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
KOR
4585 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KOR 4585
100.0%

Length

2023-12-11T19:20:10.594071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:10.751384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kor 4585
100.0%

좌표[X] (조건부 선택 입력)
Real number (ℝ)

Distinct4335
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99188
Minimum126.79584
Maximum127.17794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.4 KiB
2023-12-11T19:20:10.892158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.79584
5-th percentile126.85095
Q1126.91837
median127.00027
Q3127.06019
95-th percentile127.12702
Maximum127.17794
Range0.3821012
Interquartile range (IQR)0.14182397

Descriptive statistics

Standard deviation0.085384176
Coefficient of variation (CV)0.00067235935
Kurtosis-0.94801447
Mean126.99188
Median Absolute Deviation (MAD)0.071205221
Skewness-0.090204194
Sum582257.76
Variance0.0072904576
MonotonicityNot monotonic
2023-12-11T19:20:11.112790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.973241119 9
 
0.2%
127.008188944 7
 
0.2%
126.97570161 5
 
0.1%
127.003822219 5
 
0.1%
127.047045259 5
 
0.1%
126.975195743 5
 
0.1%
127.000315908 4
 
0.1%
126.834886016 4
 
0.1%
126.801554031 4
 
0.1%
127.037801152 4
 
0.1%
Other values (4325) 4533
98.9%
ValueCountFrequency (%)
126.795842966 1
 
< 0.1%
126.796621859 1
 
< 0.1%
126.798995361 1
 
< 0.1%
126.799827927 1
 
< 0.1%
126.801554031 4
0.1%
126.803102172 1
 
< 0.1%
126.803262483 1
 
< 0.1%
126.804432522 1
 
< 0.1%
126.805204819 1
 
< 0.1%
126.805426947 1
 
< 0.1%
ValueCountFrequency (%)
127.177944161 1
< 0.1%
127.1749499 1
< 0.1%
127.173888559 1
< 0.1%
127.173357821 1
< 0.1%
127.173195862 1
< 0.1%
127.172287414 1
< 0.1%
127.172008307 1
< 0.1%
127.170193981 1
< 0.1%
127.169109902 1
< 0.1%
127.1684417 1
< 0.1%

좌표[Y] (조건부 선택 입력)
Real number (ℝ)

Distinct4331
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.548388
Minimum37.434982
Maximum37.689311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.4 KiB
2023-12-11T19:20:11.331048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.434982
5-th percentile37.476047
Q137.509724
median37.547077
Q337.576754
95-th percentile37.644831
Maximum37.689311
Range0.25432869
Interquartile range (IQR)0.067030383

Descriptive statistics

Standard deviation0.050015803
Coefficient of variation (CV)0.001332036
Kurtosis-0.29494282
Mean37.548388
Median Absolute Deviation (MAD)0.033691289
Skewness0.39280216
Sum172159.36
Variance0.0025015805
MonotonicityNot monotonic
2023-12-11T19:20:11.526118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.521328811 9
 
0.2%
37.570568631 7
 
0.2%
37.577840178 5
 
0.1%
37.517963944 5
 
0.1%
37.504898855 5
 
0.1%
37.572612666 5
 
0.1%
37.574359374 4
 
0.1%
37.573367158 4
 
0.1%
37.578755843 4
 
0.1%
37.517677291 4
 
0.1%
Other values (4321) 4533
98.9%
ValueCountFrequency (%)
37.43498249 1
< 0.1%
37.436354942 2
< 0.1%
37.437211196 1
< 0.1%
37.439763025 1
< 0.1%
37.440256651 1
< 0.1%
37.440544579 1
< 0.1%
37.441084539 1
< 0.1%
37.441192592 1
< 0.1%
37.442922482 2
< 0.1%
37.443552361 1
< 0.1%
ValueCountFrequency (%)
37.689311184 1
< 0.1%
37.689120771 2
< 0.1%
37.688369931 1
< 0.1%
37.687637879 1
< 0.1%
37.687199261 1
< 0.1%
37.687129584 1
< 0.1%
37.686688034 1
< 0.1%
37.684366996 1
< 0.1%
37.683407832 1
< 0.1%
37.683145044 1
< 0.1%

공간객체타입 (조건부 선택 입력)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
1
4585 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4585
100.0%

Length

2023-12-11T19:20:11.691724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:11.775859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4585
100.0%

라인 색상 (조건부 선택 입력)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
#0000FF
3666 
#0000ff
890 
#FF0000
 
28
#ff0000
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row#0000FF
2nd row#0000FF
3rd row#0000FF
4th row#0000FF
5th row#0000FF

Common Values

ValueCountFrequency (%)
#0000FF 3666
80.0%
#0000ff 890
 
19.4%
#FF0000 28
 
0.6%
#ff0000 1
 
< 0.1%

Length

2023-12-11T19:20:11.874195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:11.990277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0000ff 4556
99.4%
ff0000 29
 
0.6%

라인 패턴 (조건부 선택 입력)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
L
4486 
<NA>
 
99

Length

Max length4
Median length1
Mean length1.0647764
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
L 4486
97.8%
<NA> 99
 
2.2%

Length

2023-12-11T19:20:12.106462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:12.205837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l 4486
97.8%
na 99
 
2.2%

라인두께 (조건부 선택)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
0
3220 
4
1202 
<NA>
 
154
7
 
5
1
 
3

Length

Max length4
Median length1
Mean length1.1007634
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3220
70.2%
4 1202
 
26.2%
<NA> 154
 
3.4%
7 5
 
0.1%
1 3
 
0.1%
2 1
 
< 0.1%

Length

2023-12-11T19:20:12.342952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:12.472090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3220
70.2%
4 1202
 
26.2%
na 154
 
3.4%
7 5
 
0.1%
1 3
 
0.1%
2 1
 
< 0.1%

전화번호 (선택 입력)
Text

MISSING 

Distinct1476
Distinct (%)32.6%
Missing59
Missing (%)1.3%
Memory size35.9 KiB
2023-12-11T19:20:12.695593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length12
Mean length11.613345
Min length1

Characters and Unicode

Total characters52562
Distinct characters27
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1287 ?
Unique (%)28.4%

Sample

1st row944-4116
2nd row944-4432
3rd row02-901-6773
4th row02-901-6773
5th row02-901-6773
ValueCountFrequency (%)
02-3423-5963 266
 
5.8%
02-2600-4073 187
 
4.1%
02-2670-3503 173
 
3.8%
02-2286-5526 148
 
3.2%
02-2620-3430 138
 
3.0%
02-2155-6737 138
 
3.0%
02-450-7605 136
 
3.0%
02-3153-9234 119
 
2.6%
02-820-9142 118
 
2.6%
02-2091-3253 116
 
2.5%
Other values (1467) 3037
66.4%
2023-12-11T19:20:13.081700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9576
18.2%
- 8718
16.6%
0 8674
16.5%
3 4733
9.0%
5 3530
 
6.7%
1 3356
 
6.4%
7 3085
 
5.9%
6 3065
 
5.8%
4 3047
 
5.8%
9 2255
 
4.3%
Other values (17) 2523
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43495
82.7%
Dash Punctuation 8718
 
16.6%
Close Punctuation 222
 
0.4%
Space Separator 87
 
0.2%
Math Symbol 20
 
< 0.1%
Other Letter 12
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9576
22.0%
0 8674
19.9%
3 4733
10.9%
5 3530
 
8.1%
1 3356
 
7.7%
7 3085
 
7.1%
6 3065
 
7.0%
4 3047
 
7.0%
9 2255
 
5.2%
8 2174
 
5.0%
Other Letter
ValueCountFrequency (%)
일 2
16.7%
간 2
16.7%
평 1
8.3%
주 1
8.3%
휴 1
8.3%
야 1
8.3%
합 1
8.3%
동 1
8.3%
화 1
8.3%
창 1
8.3%
Other Punctuation
ValueCountFrequency (%)
: 4
57.1%
, 3
42.9%
Dash Punctuation
ValueCountFrequency (%)
- 8718
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52550
> 99.9%
Hangul 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9576
18.2%
- 8718
16.6%
0 8674
16.5%
3 4733
9.0%
5 3530
 
6.7%
1 3356
 
6.4%
7 3085
 
5.9%
6 3065
 
5.8%
4 3047
 
5.8%
9 2255
 
4.3%
Other values (7) 2511
 
4.8%
Hangul
ValueCountFrequency (%)
일 2
16.7%
간 2
16.7%
평 1
8.3%
주 1
8.3%
휴 1
8.3%
야 1
8.3%
합 1
8.3%
동 1
8.3%
화 1
8.3%
창 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52550
> 99.9%
Hangul 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9576
18.2%
- 8718
16.6%
0 8674
16.5%
3 4733
9.0%
5 3530
 
6.7%
1 3356
 
6.4%
7 3085
 
5.9%
6 3065
 
5.8%
4 3047
 
5.8%
9 2255
 
4.3%
Other values (7) 2511
 
4.8%
Hangul
ValueCountFrequency (%)
일 2
16.7%
간 2
16.7%
평 1
8.3%
주 1
8.3%
휴 1
8.3%
야 1
8.3%
합 1
8.3%
동 1
8.3%
화 1
8.3%
창 1
8.3%

웹URL (선택 입력)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4584
Missing (%)> 99.9%
Memory size35.9 KiB
2023-12-11T19:20:13.274692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowwww.seoul.go.kr
ValueCountFrequency (%)
www.seoul.go.kr 1
100.0%
2023-12-11T19:20:13.538431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 3
20.0%
. 3
20.0%
o 2
13.3%
s 1
 
6.7%
e 1
 
6.7%
u 1
 
6.7%
l 1
 
6.7%
g 1
 
6.7%
k 1
 
6.7%
r 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12
80.0%
Other Punctuation 3
 
20.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 3
25.0%
o 2
16.7%
s 1
 
8.3%
e 1
 
8.3%
u 1
 
8.3%
l 1
 
8.3%
g 1
 
8.3%
k 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12
80.0%
Common 3
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 3
25.0%
o 2
16.7%
s 1
 
8.3%
e 1
 
8.3%
u 1
 
8.3%
l 1
 
8.3%
g 1
 
8.3%
k 1
 
8.3%
r 1
 
8.3%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 3
20.0%
. 3
20.0%
o 2
13.3%
s 1
 
6.7%
e 1
 
6.7%
u 1
 
6.7%
l 1
 
6.7%
g 1
 
6.7%
k 1
 
6.7%
r 1
 
6.7%

동영상 웹 링크 URL (선택 입력)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4584
Missing (%)> 99.9%
Memory size35.9 KiB
2023-12-11T19:20:13.684913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowwww.seoul.go.kr
ValueCountFrequency (%)
www.seoul.go.kr 1
100.0%
2023-12-11T19:20:13.939359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 3
20.0%
. 3
20.0%
o 2
13.3%
s 1
 
6.7%
e 1
 
6.7%
u 1
 
6.7%
l 1
 
6.7%
g 1
 
6.7%
k 1
 
6.7%
r 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12
80.0%
Other Punctuation 3
 
20.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 3
25.0%
o 2
16.7%
s 1
 
8.3%
e 1
 
8.3%
u 1
 
8.3%
l 1
 
8.3%
g 1
 
8.3%
k 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12
80.0%
Common 3
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 3
25.0%
o 2
16.7%
s 1
 
8.3%
e 1
 
8.3%
u 1
 
8.3%
l 1
 
8.3%
g 1
 
8.3%
k 1
 
8.3%
r 1
 
8.3%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 3
20.0%
. 3
20.0%
o 2
13.3%
s 1
 
6.7%
e 1
 
6.7%
u 1
 
6.7%
l 1
 
6.7%
g 1
 
6.7%
k 1
 
6.7%
r 1
 
6.7%

음성파일 웹 링크 URL (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

사진 정보1[URL or 파일명] (선택 입력)
Text

MISSING 

Distinct14
Distinct (%)58.3%
Missing4561
Missing (%)99.5%
Memory size35.9 KiB
2023-12-11T19:20:14.104199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length61
Mean length20
Min length2

Characters and Unicode

Total characters480
Distinct characters53
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)45.8%

Sample

1st row대지
2nd row대지
3rd row도로
4th row대지
5th row대지
ValueCountFrequency (%)
안양천제방 5
18.5%
도로 4
14.8%
대지 4
14.8%
smgis/ucimgs/conts/100106/restgu02_0161_0.jpg 1
 
3.7%
smgis/ucimgs/conts/100106/restgu02_0149_0_20141017100901.jpeg 1
 
3.7%
smgis/ucimgs/conts/100106/restgu02_0150_0.jpg 1
 
3.7%
smgis/ucimgs/conts/100106/restgu02_0158_0.jpg 1
 
3.7%
smgis/ucimgs/conts/100106/restgu02_0159_0.jpg 1
 
3.7%
smgis/ucimgs/conts/100106/restgu02_0160_0.jpg 1
 
3.7%
옆 1
 
3.7%
Other values (7) 7
25.9%
2023-12-11T19:20:14.394674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
 
13.1%
s 40
 
8.3%
/ 40
 
8.3%
1 35
 
7.3%
g 31
 
6.5%
_ 19
 
4.0%
i 16
 
3.3%
u 16
 
3.3%
c 16
 
3.3%
t 16
 
3.3%
Other values (43) 188
39.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 197
41.0%
Decimal Number 145
30.2%
Other Letter 64
 
13.3%
Other Punctuation 48
 
10.0%
Connector Punctuation 19
 
4.0%
Uppercase Letter 4
 
0.8%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 7
10.9%
양 6
9.4%
안 6
9.4%
도 6
9.4%
로 5
 
7.8%
제 5
 
7.8%
방 5
 
7.8%
대 5
 
7.8%
지 4
 
6.2%
교 2
 
3.1%
Other values (13) 13
20.3%
Lowercase Letter
ValueCountFrequency (%)
s 40
20.3%
g 31
15.7%
i 16
 
8.1%
u 16
 
8.1%
c 16
 
8.1%
t 16
 
8.1%
m 16
 
8.1%
r 8
 
4.1%
e 8
 
4.1%
n 8
 
4.1%
Other values (3) 22
11.2%
Decimal Number
ValueCountFrequency (%)
0 63
43.4%
1 35
24.1%
2 14
 
9.7%
6 12
 
8.3%
4 6
 
4.1%
5 5
 
3.4%
9 4
 
2.8%
8 4
 
2.8%
7 2
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
P 1
25.0%
J 1
25.0%
G 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 40
83.3%
. 8
 
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
44.8%
Latin 201
41.9%
Hangul 64
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 7
10.9%
양 6
9.4%
안 6
9.4%
도 6
9.4%
로 5
 
7.8%
제 5
 
7.8%
방 5
 
7.8%
대 5
 
7.8%
지 4
 
6.2%
교 2
 
3.1%
Other values (13) 13
20.3%
Latin
ValueCountFrequency (%)
s 40
19.9%
g 31
15.4%
i 16
 
8.0%
u 16
 
8.0%
c 16
 
8.0%
t 16
 
8.0%
m 16
 
8.0%
r 8
 
4.0%
e 8
 
4.0%
n 8
 
4.0%
Other values (7) 26
12.9%
Common
ValueCountFrequency (%)
0 63
29.3%
/ 40
18.6%
1 35
16.3%
_ 19
 
8.8%
2 14
 
6.5%
6 12
 
5.6%
. 8
 
3.7%
4 6
 
2.8%
5 5
 
2.3%
9 4
 
1.9%
Other values (3) 9
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
86.7%
Hangul 64
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
15.1%
s 40
 
9.6%
/ 40
 
9.6%
1 35
 
8.4%
g 31
 
7.5%
_ 19
 
4.6%
i 16
 
3.8%
u 16
 
3.8%
c 16
 
3.8%
t 16
 
3.8%
Other values (20) 124
29.8%
Hangul
ValueCountFrequency (%)
천 7
10.9%
양 6
9.4%
안 6
9.4%
도 6
9.4%
로 5
 
7.8%
제 5
 
7.8%
방 5
 
7.8%
대 5
 
7.8%
지 4
 
6.2%
교 2
 
3.1%
Other values (13) 13
20.3%

사진 정보2[URL or 파일명] (선택 입력)
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing4582
Missing (%)99.9%
Memory size35.9 KiB
2023-12-11T19:20:14.541822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length22
Mean length30.333333
Min length22

Characters and Unicode

Total characters91
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowhttp://www.smc.seoul.kr/main/index/index001.jsp
2nd rowhttp://www.seoul.go.kr
3rd rowhttp://www.seoul.go.kr
ValueCountFrequency (%)
http://www.seoul.go.kr 2
66.7%
http://www.smc.seoul.kr/main/index/index001.jsp 1
33.3%
2023-12-11T19:20:14.789660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 10
 
11.0%
/ 9
 
9.9%
w 9
 
9.9%
t 6
 
6.6%
o 5
 
5.5%
s 5
 
5.5%
e 5
 
5.5%
p 4
 
4.4%
l 3
 
3.3%
r 3
 
3.3%
Other values (15) 32
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 66
72.5%
Other Punctuation 22
 
24.2%
Decimal Number 3
 
3.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 9
13.6%
t 6
 
9.1%
o 5
 
7.6%
s 5
 
7.6%
e 5
 
7.6%
p 4
 
6.1%
l 3
 
4.5%
r 3
 
4.5%
k 3
 
4.5%
h 3
 
4.5%
Other values (10) 20
30.3%
Other Punctuation
ValueCountFrequency (%)
. 10
45.5%
/ 9
40.9%
: 3
 
13.6%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 66
72.5%
Common 25
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 9
13.6%
t 6
 
9.1%
o 5
 
7.6%
s 5
 
7.6%
e 5
 
7.6%
p 4
 
6.1%
l 3
 
4.5%
r 3
 
4.5%
k 3
 
4.5%
h 3
 
4.5%
Other values (10) 20
30.3%
Common
ValueCountFrequency (%)
. 10
40.0%
/ 9
36.0%
: 3
 
12.0%
0 2
 
8.0%
1 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 10
 
11.0%
/ 9
 
9.9%
w 9
 
9.9%
t 6
 
6.6%
o 5
 
5.5%
s 5
 
5.5%
e 5
 
5.5%
p 4
 
4.4%
l 3
 
3.3%
r 3
 
3.3%
Other values (15) 32
35.2%

사진 정보3[URL or 파일명] (선택 입력)
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing4583
Missing (%)> 99.9%
Memory size35.9 KiB
2023-12-11T19:20:14.926871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22.5
Mean length22.5
Min length22

Characters and Unicode

Total characters45
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowhttp://www.smc.seoul.kr
2nd rowhttp://www.seoul.go.kr
ValueCountFrequency (%)
http://www.smc.seoul.kr 1
50.0%
http://www.seoul.go.kr 1
50.0%
2023-12-11T19:20:15.202905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 6
13.3%
. 6
13.3%
/ 4
 
8.9%
t 4
 
8.9%
s 3
 
6.7%
o 3
 
6.7%
h 2
 
4.4%
k 2
 
4.4%
p 2
 
4.4%
: 2
 
4.4%
Other values (7) 11
24.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 33
73.3%
Other Punctuation 12
 
26.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 6
18.2%
t 4
12.1%
s 3
9.1%
o 3
9.1%
h 2
 
6.1%
k 2
 
6.1%
p 2
 
6.1%
r 2
 
6.1%
e 2
 
6.1%
u 2
 
6.1%
Other values (4) 5
15.2%
Other Punctuation
ValueCountFrequency (%)
. 6
50.0%
/ 4
33.3%
: 2
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 33
73.3%
Common 12
 
26.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 6
18.2%
t 4
12.1%
s 3
9.1%
o 3
9.1%
h 2
 
6.1%
k 2
 
6.1%
p 2
 
6.1%
r 2
 
6.1%
e 2
 
6.1%
u 2
 
6.1%
Other values (4) 5
15.2%
Common
ValueCountFrequency (%)
. 6
50.0%
/ 4
33.3%
: 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 6
13.3%
. 6
13.3%
/ 4
 
8.9%
t 4
 
8.9%
s 3
 
6.7%
o 3
 
6.7%
h 2
 
4.4%
k 2
 
4.4%
p 2
 
4.4%
: 2
 
4.4%
Other values (7) 11
24.4%

사진 정보4[URL or 파일명] (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

사진 정보5[URL or 파일명] (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 제목1 (선택 입력)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
유형
4510 
시설구분
 
64
<NA>
 
7
상세위치
 
3
이름
 
1

Length

Max length4
Median length2
Mean length2.0322792
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row시설구분
2nd row시설구분
3rd row상세위치
4th row상세위치
5th row상세위치

Common Values

ValueCountFrequency (%)
유형 4510
98.4%
시설구분 64
 
1.4%
<NA> 7
 
0.2%
상세위치 3
 
0.1%
이름 1
 
< 0.1%

Length

2023-12-11T19:20:15.328765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:15.449080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형 4510
98.4%
시설구분 64
 
1.4%
na 7
 
0.2%
상세위치 3
 
0.1%
이름 1
 
< 0.1%

상세 내용1 (선택 입력)
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
공공개방
1949 
공중
1594 
민간개방1
664 
민간개방
283 
공공기관
 
27
Other values (15)
 
68

Length

Max length37
Median length24
Mean length3.4678299
Min length2

Unique

Unique8 ?
Unique (%)0.2%

Sample

1st row공공기관
2nd row공공기관
3rd row쌍한교 옆
4th row강북소방서 건너편
5th row우이천변 초안교 옆, 강북구민운동장사거리 측

Common Values

ValueCountFrequency (%)
공공개방 1949
42.5%
공중 1594
34.8%
민간개방1 664
 
14.5%
민간개방 283
 
6.2%
공공기관 27
 
0.6%
공원 23
 
0.5%
무인공중 10
 
0.2%
개방화장실 9
 
0.2%
<NA> 7
 
0.2%
기타 4
 
0.1%
Other values (10) 15
 
0.3%

Length

2023-12-11T19:20:15.573302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공공개방 1949
42.3%
공중 1594
34.6%
민간개방1 664
 
14.4%
민간개방 283
 
6.1%
공공기관 27
 
0.6%
공원 23
 
0.5%
무인공중 10
 
0.2%
개방화장실 9
 
0.2%
na 7
 
0.2%
기타 4
 
0.1%
Other values (21) 36
 
0.8%

상세 제목2 (선택 입력)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
개방시간
4574 
<NA>
 
8
시설구분
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개방시간
2nd row개방시간
3rd row시설구분
4th row시설구분
5th row시설구분

Common Values

ValueCountFrequency (%)
개방시간 4574
99.8%
<NA> 8
 
0.2%
시설구분 3
 
0.1%

Length

2023-12-11T19:20:15.737240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:15.836596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방시간 4574
99.8%
na 8
 
0.2%
시설구분 3
 
0.1%

상세 내용2 (선택 입력)
Text

Distinct367
Distinct (%)8.0%
Missing14
Missing (%)0.3%
Memory size35.9 KiB
2023-12-11T19:20:16.135755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length60
Mean length9.3253117
Min length2

Characters and Unicode

Total characters42626
Distinct characters108
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

Unique251 ?
Unique (%)5.5%

Sample

1st row24시
2nd row24시간
3rd row공중화장실
4th row공중화장실
5th row공중화장실
ValueCountFrequency (%)
상시 1129
17.5%
정시 900
13.9%
정시(09:00~18:00 633
 
9.8%
개방 411
 
6.4%
상시(연중 406
 
6.3%
평일만 400
 
6.2%
상시(연중개방 225
 
3.5%
업무시간 210
 
3.3%
05:00-익일01:00 141
 
2.2%
영업시작~종료 130
 
2.0%
Other values (417) 1869
29.0%
2023-12-11T19:20:16.741411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8536
20.0%
시 4334
 
10.2%
: 3451
 
8.1%
( 2122
 
5.0%
) 2120
 
5.0%
정 2107
 
4.9%
상 1794
 
4.2%
1580
 
3.7%
~ 1484
 
3.5%
1 1409
 
3.3%
Other values (98) 13689
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16146
37.9%
Decimal Number 13913
32.6%
Other Punctuation 4279
 
10.0%
Open Punctuation 2122
 
5.0%
Close Punctuation 2120
 
5.0%
Space Separator 1580
 
3.7%
Math Symbol 1486
 
3.5%
Control 583
 
1.4%
Dash Punctuation 393
 
0.9%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4334
26.8%
정 2107
13.0%
상 1794
11.1%
일 1086
 
6.7%
방 861
 
5.3%
개 804
 
5.0%
중 634
 
3.9%
연 632
 
3.9%
평 549
 
3.4%
만 437
 
2.7%
Other values (73) 2908
18.0%
Decimal Number
ValueCountFrequency (%)
0 8536
61.4%
1 1409
 
10.1%
9 1192
 
8.6%
8 1059
 
7.6%
2 745
 
5.4%
5 284
 
2.0%
3 222
 
1.6%
4 199
 
1.4%
6 153
 
1.1%
7 114
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 3451
80.6%
, 821
 
19.2%
. 5
 
0.1%
/ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 1484
99.9%
∼ 1
 
0.1%
= 1
 
0.1%
Control
ValueCountFrequency (%)
367
63.0%
216
37.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
50.0%
a 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2120
100.0%
Space Separator
ValueCountFrequency (%)
1580
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26476
62.1%
Hangul 16146
37.9%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4334
26.8%
정 2107
13.0%
상 1794
11.1%
일 1086
 
6.7%
방 861
 
5.3%
개 804
 
5.0%
중 634
 
3.9%
연 632
 
3.9%
평 549
 
3.4%
만 437
 
2.7%
Other values (73) 2908
18.0%
Common
ValueCountFrequency (%)
0 8536
32.2%
: 3451
13.0%
( 2122
 
8.0%
) 2120
 
8.0%
1580
 
6.0%
~ 1484
 
5.6%
1 1409
 
5.3%
9 1192
 
4.5%
8 1059
 
4.0%
, 821
 
3.1%
Other values (13) 2702
 
10.2%
Latin
ValueCountFrequency (%)
m 2
50.0%
a 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26479
62.1%
Hangul 16134
37.9%
Compat Jamo 12
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8536
32.2%
: 3451
13.0%
( 2122
 
8.0%
) 2120
 
8.0%
1580
 
6.0%
~ 1484
 
5.6%
1 1409
 
5.3%
9 1192
 
4.5%
8 1059
 
4.0%
, 821
 
3.1%
Other values (14) 2705
 
10.2%
Hangul
ValueCountFrequency (%)
시 4334
26.9%
정 2107
13.1%
상 1794
11.1%
일 1086
 
6.7%
방 861
 
5.3%
개 804
 
5.0%
중 634
 
3.9%
연 632
 
3.9%
평 549
 
3.4%
만 437
 
2.7%
Other values (72) 2896
17.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 12
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

상세 제목3 (선택 입력)
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
소재지 용도
4436 
소재지용도
 
74
화장실 현황
 
27
변기현황
 
20
화장실현황
 
17
Other values (2)
 
11

Length

Max length6
Median length6
Mean length5.9666303
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row변기현황
2nd row변기현황
3rd row개방시간
4th row개방시간
5th row개방시간

Common Values

ValueCountFrequency (%)
소재지 용도 4436
96.8%
소재지용도 74
 
1.6%
화장실 현황 27
 
0.6%
변기현황 20
 
0.4%
화장실현황 17
 
0.4%
<NA> 8
 
0.2%
개방시간 3
 
0.1%

Length

2023-12-11T19:20:16.927319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:17.079146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소재지 4436
49.0%
용도 4436
49.0%
소재지용도 74
 
0.8%
화장실 27
 
0.3%
현황 27
 
0.3%
변기현황 20
 
0.2%
화장실현황 17
 
0.2%
na 8
 
0.1%
개방시간 3
 
< 0.1%

상세 내용3 (선택 입력)
Text

Distinct87
Distinct (%)1.9%
Missing21
Missing (%)0.5%
Memory size35.9 KiB
2023-12-11T19:20:17.334643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length42
Mean length3.9818142
Min length2

Characters and Unicode

Total characters18173
Distinct characters89
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)1.1%

Sample

1st row남녀공용: 대변기1 소변기1(장애인 공용 사용 가능)
2nd row남자: 대변기3 소변기4 / 여자: 대변기3 / 장애인화장실(남녀구분)
3rd row24시간
4th row24시간
5th row24시간
ValueCountFrequency (%)
공공청사 950
19.3%
공원 815
16.6%
주유소및충전소 549
11.2%
빌딩 543
11.0%
공용시설 409
8.3%
지하철 313
 
6.4%
화장실 191
 
3.9%
학교 165
 
3.4%
상가(시장 148
 
3.0%
교통시설 77
 
1.6%
Other values (72) 762
15.5%
2023-12-11T19:20:17.777642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 3151
 
17.3%
소 1160
 
6.4%
사 954
 
5.2%
청 951
 
5.2%
원 877
 
4.8%
시 754
 
4.1%
전 600
 
3.3%
주 555
 
3.1%
및 549
 
3.0%
충 549
 
3.0%
Other values (79) 8073
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16935
93.2%
Space Separator 358
 
2.0%
Open Punctuation 233
 
1.3%
Close Punctuation 233
 
1.3%
Other Punctuation 217
 
1.2%
Decimal Number 197
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 3151
18.6%
소 1160
 
6.8%
사 954
 
5.6%
청 951
 
5.6%
원 877
 
5.2%
시 754
 
4.5%
전 600
 
3.5%
주 555
 
3.3%
및 549
 
3.2%
충 549
 
3.2%
Other values (64) 6835
40.4%
Decimal Number
ValueCountFrequency (%)
1 73
37.1%
2 60
30.5%
3 38
19.3%
4 15
 
7.6%
8 5
 
2.5%
5 3
 
1.5%
6 2
 
1.0%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 130
59.9%
/ 78
35.9%
, 8
 
3.7%
; 1
 
0.5%
Space Separator
ValueCountFrequency (%)
358
100.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16935
93.2%
Common 1238
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 3151
18.6%
소 1160
 
6.8%
사 954
 
5.6%
청 951
 
5.6%
원 877
 
5.2%
시 754
 
4.5%
전 600
 
3.5%
주 555
 
3.3%
및 549
 
3.2%
충 549
 
3.2%
Other values (64) 6835
40.4%
Common
ValueCountFrequency (%)
358
28.9%
( 233
18.8%
) 233
18.8%
: 130
 
10.5%
/ 78
 
6.3%
1 73
 
5.9%
2 60
 
4.8%
3 38
 
3.1%
4 15
 
1.2%
, 8
 
0.6%
Other values (5) 12
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16935
93.2%
ASCII 1238
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 3151
18.6%
소 1160
 
6.8%
사 954
 
5.6%
청 951
 
5.6%
원 877
 
5.2%
시 754
 
4.5%
전 600
 
3.5%
주 555
 
3.3%
및 549
 
3.2%
충 549
 
3.2%
Other values (64) 6835
40.4%
ASCII
ValueCountFrequency (%)
358
28.9%
( 233
18.8%
) 233
18.8%
: 130
 
10.5%
/ 78
 
6.3%
1 73
 
5.9%
2 60
 
4.8%
3 38
 
3.1%
4 15
 
1.2%
, 8
 
0.6%
Other values (5) 12
 
1.0%

상세 제목4 (선택 입력)
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
장애인화장실
4431 
기타설비
 
57
<NA>
 
51
장애인화장실 유무
 
29
기타시설
 
4
Other values (5)
 
13

Length

Max length9
Median length6
Mean length5.968157
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타설비
2nd row기타시설
3rd row변기현황
4th row변기현황
5th row변기현황

Common Values

ValueCountFrequency (%)
장애인화장실 4431
96.6%
기타설비 57
 
1.2%
<NA> 51
 
1.1%
장애인화장실 유무 29
 
0.6%
기타시설 4
 
0.1%
변기현황 3
 
0.1%
편의시설 3
 
0.1%
장애인시설 3
 
0.1%
장애인화장실유무 2
 
< 0.1%
장애인시설유무 2
 
< 0.1%

Length

2023-12-11T19:20:17.950852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:18.093818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인화장실 4460
96.7%
기타설비 57
 
1.2%
na 51
 
1.1%
유무 29
 
0.6%
기타시설 4
 
0.1%
변기현황 3
 
0.1%
편의시설 3
 
0.1%
장애인시설 3
 
0.1%
장애인화장실유무 2
 
< 0.1%
장애인시설유무 2
 
< 0.1%

상세 내용4 (선택 입력)
Text

MISSING 

Distinct169
Distinct (%)8.7%
Missing2632
Missing (%)57.4%
Memory size35.9 KiB
2023-12-11T19:20:18.718997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length4.7798259
Min length1

Characters and Unicode

Total characters9335
Distinct characters79
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)5.1%

Sample

1st row-
2nd row화장실 입구 CCTV 설치
3rd row남자: 대변기1 소변기1 / 여자; 대변기2(재래식1 서양식1)
4th row남자: 대변기2 소변기2 / 여자: 대변기3
5th row남자: 대변기2 소변기3 / 여자: 대변기3 / 장애인화장실(남녀공용)
ValueCountFrequency (%)
남1,여1 479
18.6%
남1 452
17.6%
여1 385
15.0%
가능 186
 
7.2%
공용1 170
 
6.6%
2 138
 
5.4%
남2 33
 
1.3%
남2,여1 32
 
1.2%
공용2 28
 
1.1%
설치 27
 
1.1%
Other values (168) 639
24.9%
2023-12-11T19:20:19.160084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2195
23.5%
남 1201
12.9%
여 1153
12.4%
, 1089
11.7%
616
 
6.6%
2 385
 
4.1%
공 284
 
3.0%
용 278
 
3.0%
능 189
 
2.0%
가 189
 
2.0%
Other values (69) 1756
18.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4510
48.3%
Decimal Number 2793
29.9%
Other Punctuation 1116
 
12.0%
Space Separator 616
 
6.6%
Close Punctuation 102
 
1.1%
Open Punctuation 100
 
1.1%
Uppercase Letter 92
 
1.0%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1201
26.6%
여 1153
25.6%
공 284
 
6.3%
용 278
 
6.2%
능 189
 
4.2%
가 189
 
4.2%
장 173
 
3.8%
애 122
 
2.7%
인 122
 
2.7%
실 94
 
2.1%
Other values (47) 705
15.6%
Decimal Number
ValueCountFrequency (%)
1 2195
78.6%
2 385
 
13.8%
3 89
 
3.2%
4 43
 
1.5%
6 25
 
0.9%
5 21
 
0.8%
7 13
 
0.5%
8 10
 
0.4%
0 6
 
0.2%
9 6
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 1089
97.6%
/ 18
 
1.6%
: 8
 
0.7%
; 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 46
50.0%
T 23
25.0%
V 23
25.0%
Close Punctuation
ValueCountFrequency (%)
) 101
99.0%
] 1
 
1.0%
Space Separator
ValueCountFrequency (%)
616
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4733
50.7%
Hangul 4510
48.3%
Latin 92
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1201
26.6%
여 1153
25.6%
공 284
 
6.3%
용 278
 
6.2%
능 189
 
4.2%
가 189
 
4.2%
장 173
 
3.8%
애 122
 
2.7%
인 122
 
2.7%
실 94
 
2.1%
Other values (47) 705
15.6%
Common
ValueCountFrequency (%)
1 2195
46.4%
, 1089
23.0%
616
 
13.0%
2 385
 
8.1%
) 101
 
2.1%
( 100
 
2.1%
3 89
 
1.9%
4 43
 
0.9%
6 25
 
0.5%
5 21
 
0.4%
Other values (9) 69
 
1.5%
Latin
ValueCountFrequency (%)
C 46
50.0%
T 23
25.0%
V 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4825
51.7%
Hangul 4510
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2195
45.5%
, 1089
22.6%
616
 
12.8%
2 385
 
8.0%
) 101
 
2.1%
( 100
 
2.1%
3 89
 
1.8%
C 46
 
1.0%
4 43
 
0.9%
6 25
 
0.5%
Other values (12) 136
 
2.8%
Hangul
ValueCountFrequency (%)
남 1201
26.6%
여 1153
25.6%
공 284
 
6.3%
용 278
 
6.2%
능 189
 
4.2%
가 189
 
4.2%
장 173
 
3.8%
애 122
 
2.7%
인 122
 
2.7%
실 94
 
2.1%
Other values (47) 705
15.6%

상세 제목5 (선택 입력)
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
편의시설
4468 
<NA>
 
103
편의시설 유무
 
6
비고
 
4
기타설비
 
2
Other values (2)
 
2

Length

Max length9
Median length4
Mean length4.0032715
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
편의시설 4468
97.4%
<NA> 103
 
2.2%
편의시설 유무 6
 
0.1%
비고 4
 
0.1%
기타설비 2
 
< 0.1%
기타시설 1
 
< 0.1%
편의시설 설치여부 1
 
< 0.1%

Length

2023-12-11T19:20:19.367393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:19.509092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
편의시설 4475
97.5%
na 103
 
2.2%
유무 6
 
0.1%
비고 4
 
0.1%
기타설비 2
 
< 0.1%
기타시설 1
 
< 0.1%
설치여부 1
 
< 0.1%

상세 내용5 (선택 입력)
Text

MISSING 

Distinct352
Distinct (%)19.1%
Missing2744
Missing (%)59.8%
Memory size35.9 KiB
2023-12-11T19:20:19.779879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length31
Mean length9.7191744
Min length1

Characters and Unicode

Total characters17893
Distinct characters84
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)11.8%

Sample

1st row비상벨 설치(여자3)
2nd row비상벨 설치(여자4)
3rd row비상벨 설치(장애인2 여자4)
4th row손건조기2,비상벨13
5th row손건조기2,비상벨11
ValueCountFrequency (%)
손건조기 500
23.0%
손건조기2 434
20.0%
기저귀교환대2유아용보호의자1손건조기3 102
 
4.7%
비상벨 78
 
3.6%
손건조기1 71
 
3.3%
기저귀교환대 65
 
3.0%
유아용보호의자 42
 
1.9%
손건조기2개 41
 
1.9%
손건조기3 33
 
1.5%
2 32
 
1.5%
Other values (305) 774
35.6%
2023-12-11T19:20:20.216952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2175
 
12.2%
손 1636
 
9.1%
조 1635
 
9.1%
건 1631
 
9.1%
1034
 
5.8%
2 945
 
5.3%
1 652
 
3.6%
대 521
 
2.9%
귀 518
 
2.9%
교 514
 
2.9%
Other values (74) 6632
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13881
77.6%
Decimal Number 2479
 
13.9%
Space Separator 1034
 
5.8%
Other Punctuation 487
 
2.7%
Control 6
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2175
15.7%
손 1636
11.8%
조 1635
11.8%
건 1631
11.7%
대 521
 
3.8%
귀 518
 
3.7%
교 514
 
3.7%
환 514
 
3.7%
저 513
 
3.7%
상 400
 
2.9%
Other values (55) 3824
27.5%
Decimal Number
ValueCountFrequency (%)
2 945
38.1%
1 652
26.3%
3 321
 
12.9%
4 196
 
7.9%
6 112
 
4.5%
0 109
 
4.4%
5 49
 
2.0%
8 44
 
1.8%
7 30
 
1.2%
9 21
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 481
98.8%
: 4
 
0.8%
. 1
 
0.2%
/ 1
 
0.2%
Control
ValueCountFrequency (%)
3
50.0%
3
50.0%
Space Separator
ValueCountFrequency (%)
1034
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13881
77.6%
Common 4012
 
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2175
15.7%
손 1636
11.8%
조 1635
11.8%
건 1631
11.7%
대 521
 
3.8%
귀 518
 
3.7%
교 514
 
3.7%
환 514
 
3.7%
저 513
 
3.7%
상 400
 
2.9%
Other values (55) 3824
27.5%
Common
ValueCountFrequency (%)
1034
25.8%
2 945
23.6%
1 652
16.3%
, 481
12.0%
3 321
 
8.0%
4 196
 
4.9%
6 112
 
2.8%
0 109
 
2.7%
5 49
 
1.2%
8 44
 
1.1%
Other values (9) 69
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13881
77.6%
ASCII 4012
 
22.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2175
15.7%
손 1636
11.8%
조 1635
11.8%
건 1631
11.7%
대 521
 
3.8%
귀 518
 
3.7%
교 514
 
3.7%
환 514
 
3.7%
저 513
 
3.7%
상 400
 
2.9%
Other values (55) 3824
27.5%
ASCII
ValueCountFrequency (%)
1034
25.8%
2 945
23.6%
1 652
16.3%
, 481
12.0%
3 321
 
8.0%
4 196
 
4.9%
6 112
 
2.8%
0 109
 
2.7%
5 49
 
1.2%
8 44
 
1.1%
Other values (9) 69
 
1.7%

상세 제목6 (선택 입력)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4287 
관리주체
 
298

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4287
93.5%
관리주체 298
 
6.5%

Length

2023-12-11T19:20:20.389031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:20.494785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4287
93.5%
관리주체 298
 
6.5%

상세 내용6 (선택 입력)
Categorical

IMBALANCE 

Distinct49
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4285 
한강사업본부 환경과
 
107
동대문구 청소행정과
 
65
맑은환경과
 
26
서울어린이대공원
 
13
Other values (44)
 
89

Length

Max length56
Median length4
Mean length4.376663
Min length4

Unique

Unique32 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4285
93.5%
한강사업본부 환경과 107
 
2.3%
동대문구 청소행정과 65
 
1.4%
맑은환경과 26
 
0.6%
서울어린이대공원 13
 
0.3%
동대문구 공원녹지과 9
 
0.2%
서울월드컵경기장 7
 
0.2%
상가운영처(명동관리소) 6
 
0.1%
상가운영처(을지로관리소) 6
 
0.1%
동대문구시설관리공단 5
 
0.1%
Other values (39) 56
 
1.2%

Length

2023-12-11T19:20:20.632981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4285
89.0%
환경과 107
 
2.2%
한강사업본부 107
 
2.2%
동대문구 83
 
1.7%
청소행정과 65
 
1.3%
맑은환경과 26
 
0.5%
주민센터 14
 
0.3%
서울어린이대공원 13
 
0.3%
공원녹지과 9
 
0.2%
교통시설운영처 8
 
0.2%
Other values (57) 98
 
2.0%

상세 제목7 (선택 입력)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4376 
설치근거
 
139
안내표지
 
48
안내표시
 
21
 
1

Length

Max length4
Median length4
Mean length3.9993457
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4376
95.4%
설치근거 139
 
3.0%
안내표지 48
 
1.0%
안내표시 21
 
0.5%
1
 
< 0.1%

Length

2023-12-11T19:20:20.771409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:20.896772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4376
95.5%
설치근거 139
 
3.0%
안내표지 48
 
1.0%
안내표시 21
 
0.5%

상세 내용7 (선택 입력)
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4424 
공중화장실 등에 관한 법률 제9조(개방화장실)
 
63
공중화장실 등에 관한 법률 제6조(공중화장실의 설치)
 
50
건물
 
18
외부,건물
 
12
Other values (9)
 
18

Length

Max length29
Median length4
Mean length4.5565976
Min length1

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4424
96.5%
공중화장실 등에 관한 법률 제9조(개방화장실) 63
 
1.4%
공중화장실 등에 관한 법률 제6조(공중화장실의 설치) 50
 
1.1%
건물 18
 
0.4%
외부,건물 12
 
0.3%
외부1개 7
 
0.2%
1 3
 
0.1%
건물2개 2
 
< 0.1%
외부1개,건물26개 1
 
< 0.1%
건물5개 1
 
< 0.1%
Other values (4) 4
 
0.1%

Length

2023-12-11T19:20:21.072990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4424
87.0%
공중화장실 113
 
2.2%
등에 113
 
2.2%
관한 113
 
2.2%
법률 113
 
2.2%
제9조(개방화장실 63
 
1.2%
제6조(공중화장실의 50
 
1.0%
설치 50
 
1.0%
건물 18
 
0.4%
외부,건물 12
 
0.2%
Other values (9) 18
 
0.4%

상세 제목8 (선택 입력)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4512 
소재지
 
52
안내표시(건물)
 
21

Length

Max length8
Median length4
Mean length4.0069793
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4512
98.4%
소재지 52
 
1.1%
안내표시(건물) 21
 
0.5%

Length

2023-12-11T19:20:21.218402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:21.337461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4512
98.4%
소재지 52
 
1.1%
안내표시(건물 21
 
0.5%

상세 내용8 (선택 입력)
Text

MISSING 

Distinct41
Distinct (%)59.4%
Missing4516
Missing (%)98.5%
Memory size35.9 KiB
2023-12-11T19:20:21.600970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.7391304
Min length1

Characters and Unicode

Total characters672
Distinct characters80
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)53.6%

Sample

1st row서초구 양재대로12길 74번지
2nd row구로구 오류동 174-10
3rd row강서구 개화동 490-3
4th row은평구 진관동 66-30
5th row용산구 한강로2가 12-9
ValueCountFrequency (%)
지하 15
 
7.9%
광진구 13
 
6.9%
1 12
 
6.3%
능동로 12
 
6.3%
216 12
 
6.3%
중구 12
 
6.3%
마포구 7
 
3.7%
월드컵로 7
 
3.7%
240 7
 
3.7%
종로구 6
 
3.2%
Other values (68) 86
45.5%
2023-12-11T19:20:22.079790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
17.9%
구 53
 
7.9%
로 49
 
7.3%
1 45
 
6.7%
2 39
 
5.8%
동 30
 
4.5%
지 24
 
3.6%
0 21
 
3.1%
6 19
 
2.8%
하 18
 
2.7%
Other values (70) 254
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
54.2%
Decimal Number 179
26.6%
Space Separator 120
 
17.9%
Dash Punctuation 9
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 53
14.6%
로 49
 
13.5%
동 30
 
8.2%
지 24
 
6.6%
하 18
 
4.9%
진 14
 
3.8%
광 13
 
3.6%
능 13
 
3.6%
중 12
 
3.3%
마 11
 
3.0%
Other values (58) 127
34.9%
Decimal Number
ValueCountFrequency (%)
1 45
25.1%
2 39
21.8%
0 21
11.7%
6 19
10.6%
4 17
 
9.5%
3 12
 
6.7%
8 8
 
4.5%
7 7
 
3.9%
5 7
 
3.9%
9 4
 
2.2%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
54.2%
Common 308
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 53
14.6%
로 49
 
13.5%
동 30
 
8.2%
지 24
 
6.6%
하 18
 
4.9%
진 14
 
3.8%
광 13
 
3.6%
능 13
 
3.6%
중 12
 
3.3%
마 11
 
3.0%
Other values (58) 127
34.9%
Common
ValueCountFrequency (%)
120
39.0%
1 45
 
14.6%
2 39
 
12.7%
0 21
 
6.8%
6 19
 
6.2%
4 17
 
5.5%
3 12
 
3.9%
- 9
 
2.9%
8 8
 
2.6%
7 7
 
2.3%
Other values (2) 11
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
54.2%
ASCII 308
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
39.0%
1 45
 
14.6%
2 39
 
12.7%
0 21
 
6.8%
6 19
 
6.2%
4 17
 
5.5%
3 12
 
3.9%
- 9
 
2.9%
8 8
 
2.6%
7 7
 
2.3%
Other values (2) 11
 
3.6%
Hangul
ValueCountFrequency (%)
구 53
14.6%
로 49
 
13.5%
동 30
 
8.2%
지 24
 
6.6%
하 18
 
4.9%
진 14
 
3.8%
광 13
 
3.6%
능 13
 
3.6%
중 12
 
3.3%
마 11
 
3.0%
Other values (58) 127
34.9%

상세 제목9 (선택 입력)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4533 
화장실명
 
52

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4533
98.9%
화장실명 52
 
1.1%

Length

2023-12-11T19:20:22.268693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:22.382840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4533
98.9%
화장실명 52
 
1.1%

상세 내용9 (선택 입력)
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing4533
Missing (%)98.9%
Memory size35.9 KiB
2023-12-11T19:20:22.593561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.5192308
Min length2

Characters and Unicode

Total characters287
Distinct characters104
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row서울추모공원
2nd row천왕역환승센터
3rd row개화역환승센터
4th row구파발역환승센터
5th row용산주차빌딩 화장실
ValueCountFrequency (%)
화장실 9
 
13.0%
을지로 3
 
4.3%
4구역 2
 
2.9%
서울추모공원 1
 
1.4%
동대문 1
 
1.4%
4호 1
 
1.4%
3호 1
 
1.4%
2호 1
 
1.4%
영등포 1
 
1.4%
시장 1
 
1.4%
Other values (48) 48
69.6%
2023-12-11T19:20:23.008334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 24
 
8.4%
화 18
 
6.3%
실 18
 
6.3%
17
 
5.9%
역 10
 
3.5%
공 7
 
2.4%
구 7
 
2.4%
영 6
 
2.1%
로 6
 
2.1%
대 6
 
2.1%
Other values (94) 168
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
89.2%
Space Separator 17
 
5.9%
Decimal Number 12
 
4.2%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 24
 
9.4%
화 18
 
7.0%
실 18
 
7.0%
역 10
 
3.9%
공 7
 
2.7%
구 7
 
2.7%
영 6
 
2.3%
로 6
 
2.3%
대 6
 
2.3%
문 6
 
2.3%
Other values (86) 148
57.8%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
4 3
25.0%
3 3
25.0%
2 2
16.7%
6 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
89.2%
Common 29
 
10.1%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 24
 
9.4%
화 18
 
7.0%
실 18
 
7.0%
역 10
 
3.9%
공 7
 
2.7%
구 7
 
2.7%
영 6
 
2.3%
로 6
 
2.3%
대 6
 
2.3%
문 6
 
2.3%
Other values (86) 148
57.8%
Common
ValueCountFrequency (%)
17
58.6%
1 3
 
10.3%
4 3
 
10.3%
3 3
 
10.3%
2 2
 
6.9%
6 1
 
3.4%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
89.2%
ASCII 31
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 24
 
9.4%
화 18
 
7.0%
실 18
 
7.0%
역 10
 
3.9%
공 7
 
2.7%
구 7
 
2.7%
영 6
 
2.3%
로 6
 
2.3%
대 6
 
2.3%
문 6
 
2.3%
Other values (86) 148
57.8%
ASCII
ValueCountFrequency (%)
17
54.8%
1 3
 
9.7%
4 3
 
9.7%
3 3
 
9.7%
2 2
 
6.5%
6 1
 
3.2%
B 1
 
3.2%
A 1
 
3.2%

상세 제목10 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 내용10 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 제목11 (선택 입력)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4535 
준공일
 
50

Length

Max length4
Median length4
Mean length3.9890949
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4535
98.9%
준공일 50
 
1.1%

Length

2023-12-11T19:20:23.161852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:23.261009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4535
98.9%
준공일 50
 
1.1%

상세 내용11 (선택 입력)
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4536 
2001년
 
7
2009년
 
7
2012년
 
5
2008년
 
5
Other values (15)
 
25

Length

Max length9
Median length4
Mean length4.0152672
Min length4

Unique

Unique10 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4536
98.9%
2001년 7
 
0.2%
2009년 7
 
0.2%
2012년 5
 
0.1%
2008년 5
 
0.1%
2006년 4
 
0.1%
2013년 4
 
0.1%
2014년 3
 
0.1%
2011년 2
 
< 0.1%
2000년 2
 
< 0.1%
Other values (10) 10
 
0.2%

Length

2023-12-11T19:20:23.370772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4536
98.8%
2009년 7
 
0.2%
2001년 7
 
0.2%
2012년 5
 
0.1%
2008년 5
 
0.1%
2006년 4
 
0.1%
2013년 4
 
0.1%
2014년 3
 
0.1%
2011년 3
 
0.1%
2000년 2
 
< 0.1%
Other values (13) 14
 
0.3%

상세 제목12 (선택 입력)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4533 
변기수
 
50
변기수 합계
 
2

Length

Max length6
Median length4
Mean length3.9899673
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4533
98.9%
변기수 50
 
1.1%
변기수 합계 2
 
< 0.1%

Length

2023-12-11T19:20:23.485751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:23.575622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4533
98.8%
변기수 52
 
1.1%
합계 2
 
< 0.1%

상세 내용12 (선택 입력)
Text

MISSING 

Distinct44
Distinct (%)84.6%
Missing4533
Missing (%)98.9%
Memory size35.9 KiB
2023-12-11T19:20:23.803537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length63
Mean length54.519231
Min length10

Characters and Unicode

Total characters2835
Distinct characters32
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)71.2%

Sample

1st row대변기37개,소변기19개,장애인3개,어린이7개, 남성(대변기10개,소변기19개,장애인1개,어린이4개), 여성(대변기27개,장애인1개,어린이3개)
2nd row대변기10개,장애인5개, 남성(대변기5개,장애인5개), 여성(대변기5개)
3rd row대변기11개,소변기1개,장애인5개,어린이2개, 남성(대변기3개,소변기1개,장애인4개,어린이1개), 여성(대변기8개,장애인1개,어린이1개)
4th row대변기3개,소변기1개,장애인1개, 남성(대변기1개,소변기1개,장애인1개), 여성(대변기2개)
5th row대변기4개,소변기3개, 남성(대변기2개,소변기3개), 여성(대변기2개)
ValueCountFrequency (%)
여성(대변기10개,장애인1개,어린이2개 5
 
3.5%
대변기4개,소변기3개,장애인2개 4
 
2.8%
여성(대변기2개,장애인1개 3
 
2.1%
대변기3개,소변기1개,장애인1개 3
 
2.1%
남성(대변기2개,소변기3개,장애인2개,어린이2개 3
 
2.1%
남성(대변기2개,소변기3개,장애인1개 3
 
2.1%
남성(대변기4개,소변기3개,장애인2개,어린이1개 3
 
2.1%
대변기6개,소변기2개 2
 
1.4%
남성(대변기2개,소변기2개),여성(대변기3개 2
 
1.4%
대변기5개,소변기3개 2
 
1.4%
Other values (93) 111
78.7%
2023-12-11T19:20:24.304015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 371
 
13.1%
, 302
 
10.7%
변 243
 
8.6%
기 243
 
8.6%
대 146
 
5.1%
1 136
 
4.8%
) 101
 
3.6%
( 101
 
3.6%
소 97
 
3.4%
2 95
 
3.4%
Other values (22) 1000
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1721
60.7%
Decimal Number 436
 
15.4%
Other Punctuation 302
 
10.7%
Control 170
 
6.0%
Close Punctuation 101
 
3.6%
Open Punctuation 101
 
3.6%
Space Separator 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 371
21.6%
변 243
14.1%
기 243
14.1%
대 146
 
8.5%
소 97
 
5.6%
성 94
 
5.5%
장 93
 
5.4%
인 93
 
5.4%
애 93
 
5.4%
남 47
 
2.7%
Other values (6) 201
11.7%
Decimal Number
ValueCountFrequency (%)
1 136
31.2%
2 95
21.8%
3 76
17.4%
4 41
 
9.4%
5 27
 
6.2%
6 20
 
4.6%
0 13
 
3.0%
8 12
 
2.8%
7 11
 
2.5%
9 5
 
1.1%
Control
ValueCountFrequency (%)
85
50.0%
85
50.0%
Other Punctuation
ValueCountFrequency (%)
, 302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1721
60.7%
Common 1114
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 371
21.6%
변 243
14.1%
기 243
14.1%
대 146
 
8.5%
소 97
 
5.6%
성 94
 
5.5%
장 93
 
5.4%
인 93
 
5.4%
애 93
 
5.4%
남 47
 
2.7%
Other values (6) 201
11.7%
Common
ValueCountFrequency (%)
, 302
27.1%
1 136
12.2%
) 101
 
9.1%
( 101
 
9.1%
2 95
 
8.5%
85
 
7.6%
85
 
7.6%
3 76
 
6.8%
4 41
 
3.7%
5 27
 
2.4%
Other values (6) 65
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1721
60.7%
ASCII 1114
39.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 371
21.6%
변 243
14.1%
기 243
14.1%
대 146
 
8.5%
소 97
 
5.6%
성 94
 
5.5%
장 93
 
5.4%
인 93
 
5.4%
애 93
 
5.4%
남 47
 
2.7%
Other values (6) 201
11.7%
ASCII
ValueCountFrequency (%)
, 302
27.1%
1 136
12.2%
) 101
 
9.1%
( 101
 
9.1%
2 95
 
8.5%
85
 
7.6%
85
 
7.6%
3 76
 
6.8%
4 41
 
3.7%
5 27
 
2.4%
Other values (6) 65
 
5.8%

상세 제목13 (선택 입력)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4549 
별도 장애인화장실
 
36

Length

Max length9
Median length4
Mean length4.0392585
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4549
99.2%
별도 장애인화장실 36
 
0.8%

Length

2023-12-11T19:20:24.448755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:24.552895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4549
98.4%
별도 36
 
0.8%
장애인화장실 36
 
0.8%

상세 내용13 (선택 입력)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4564 
남성1개,여성1개
 
11
없음
 
4
남성,여성
 
4
남성1개
 
2

Length

Max length9
Median length4
Mean length4.0111232
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4564
99.5%
남성1개,여성1개 11
 
0.2%
없음 4
 
0.1%
남성,여성 4
 
0.1%
남성1개 2
 
< 0.1%

Length

2023-12-11T19:20:24.656032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:24.771307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4564
99.5%
남성1개,여성1개 11
 
0.2%
없음 4
 
0.1%
남성,여성 4
 
0.1%
남성1개 2
 
< 0.1%

상세 제목14 (선택 입력)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4584
Missing (%)> 99.9%
Memory size35.9 KiB
2023-12-11T19:20:24.913017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row공용 화장실
ValueCountFrequency (%)
공용 1
50.0%
화장실 1
50.0%
2023-12-11T19:20:25.221338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 1
16.7%
용 1
16.7%
1
16.7%
화 1
16.7%
장 1
16.7%
실 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
83.3%
Space Separator 1
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 1
20.0%
용 1
20.0%
화 1
20.0%
장 1
20.0%
실 1
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
83.3%
Common 1
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 1
20.0%
용 1
20.0%
화 1
20.0%
장 1
20.0%
실 1
20.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
83.3%
ASCII 1
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 1
20.0%
용 1
20.0%
화 1
20.0%
장 1
20.0%
실 1
20.0%
ASCII
ValueCountFrequency (%)
1
100.0%

상세 내용14 (선택 입력)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4584
Missing (%)> 99.9%
Memory size35.9 KiB
2023-12-11T19:20:25.354918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
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

Unique1 ?
Unique (%)100.0%

Sample

1st row장애인1개
ValueCountFrequency (%)
장애인1개 1
100.0%
2023-12-11T19:20:25.639166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1
20.0%
애 1
20.0%
인 1
20.0%
1 1
20.0%
개 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Decimal Number 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1
25.0%
애 1
25.0%
인 1
25.0%
개 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1
25.0%
애 1
25.0%
인 1
25.0%
개 1
25.0%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1
25.0%
애 1
25.0%
인 1
25.0%
개 1
25.0%
ASCII
ValueCountFrequency (%)
1 1
100.0%

상세 제목15 (선택 입력)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4551 
장애인안내표지
 
34

Length

Max length7
Median length4
Mean length4.0222465
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4551
99.3%
장애인안내표지 34
 
0.7%

Length

2023-12-11T19:20:25.813751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:25.946468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4551
99.3%
장애인안내표지 34
 
0.7%

상세 내용15 (선택 입력)
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4561 
건물점자,바닥점자
 
11
건물점자2개
 
4
바닥점자
 
4
건물점자4개
 
2
Other values (3)
 
3

Length

Max length9
Median length4
Mean length4.0163577
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4561
99.5%
건물점자,바닥점자 11
 
0.2%
건물점자2개 4
 
0.1%
바닥점자 4
 
0.1%
건물점자4개 2
 
< 0.1%
바닥점자10개 1
 
< 0.1%
남성2개 1
 
< 0.1%
남성1개,여성1개 1
 
< 0.1%

Length

2023-12-11T19:20:26.078918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:26.237833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4561
99.5%
건물점자,바닥점자 11
 
0.2%
건물점자2개 4
 
0.1%
바닥점자 4
 
0.1%
건물점자4개 2
 
< 0.1%
바닥점자10개 1
 
< 0.1%
남성2개 1
 
< 0.1%
남성1개,여성1개 1
 
< 0.1%

상세 제목16 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 내용16 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 제목17 (선택 입력)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4534 
관리인
 
51

Length

Max length4
Median length4
Mean length3.9888768
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4534
98.9%
관리인 51
 
1.1%

Length

2023-12-11T19:20:26.438168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:20:26.554799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4534
98.9%
관리인 51
 
1.1%

상세 내용17 (선택 입력)
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
<NA>
4534 
여성1명
 
25
남성1명
 
4
남성1명,여성3명
 
3
여성3명
 
3
Other values (12)
 
16

Length

Max length9
Median length4
Mean length4.0146129
Min length3

Unique

Unique9 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4534
98.9%
여성1명 25
 
0.5%
남성1명 4
 
0.1%
남성1명,여성3명 3
 
0.1%
여성3명 3
 
0.1%
남성1명,여성2명 3
 
0.1%
남성1명,여성1명 2
 
< 0.1%
여성1개 2
 
< 0.1%
여성1 1
 
< 0.1%
남성2, 여성4 1
 
< 0.1%
Other values (7) 7
 
0.2%

Length

2023-12-11T19:20:26.675449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4534
98.9%
여성1명 25
 
0.5%
남성1명 4
 
0.1%
남성1명,여성3명 3
 
0.1%
여성3명 3
 
0.1%
남성1명,여성2명 3
 
0.1%
남성1명,여성1명 2
 
< 0.1%
여성1개 2
 
< 0.1%
남성3명,여성5명 1
 
< 0.1%
남성2명,여성4명 1
 
< 0.1%
Other values (8) 8
 
0.2%

상세 제목18 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 내용18 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 제목19 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

상세 내용19 (선택 입력)
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing4583
Missing (%)> 99.9%
Memory size35.9 KiB
2023-12-11T19:20:26.839235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length16
Min length14

Characters and Unicode

Total characters32
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row2015.7.16 지정취소
2nd row2015.6.24 개방화장실 취소
ValueCountFrequency (%)
2015.7.16 1
20.0%
지정취소 1
20.0%
2015.6.24 1
20.0%
개방화장실 1
20.0%
취소 1
20.0%
2023-12-11T19:20:27.098172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4
12.5%
2 3
 
9.4%
1 3
 
9.4%
3
 
9.4%
5 2
 
6.2%
6 2
 
6.2%
0 2
 
6.2%
취 2
 
6.2%
소 2
 
6.2%
개 1
 
3.1%
Other values (8) 8
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
43.8%
Other Letter 11
34.4%
Other Punctuation 4
 
12.5%
Space Separator 3
 
9.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
취 2
18.2%
소 2
18.2%
개 1
9.1%
장 1
9.1%
화 1
9.1%
방 1
9.1%
정 1
9.1%
지 1
9.1%
실 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
21.4%
1 3
21.4%
5 2
14.3%
6 2
14.3%
0 2
14.3%
4 1
 
7.1%
7 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21
65.6%
Hangul 11
34.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4
19.0%
2 3
14.3%
1 3
14.3%
3
14.3%
5 2
9.5%
6 2
9.5%
0 2
9.5%
4 1
 
4.8%
7 1
 
4.8%
Hangul
ValueCountFrequency (%)
취 2
18.2%
소 2
18.2%
개 1
9.1%
장 1
9.1%
화 1
9.1%
방 1
9.1%
정 1
9.1%
지 1
9.1%
실 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
65.6%
Hangul 11
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4
19.0%
2 3
14.3%
1 3
14.3%
3
14.3%
5 2
9.5%
6 2
9.5%
0 2
9.5%
4 1
 
4.8%
7 1
 
4.8%
Hangul
ValueCountFrequency (%)
취 2
18.2%
소 2
18.2%
개 1
9.1%
장 1
9.1%
화 1
9.1%
방 1
9.1%
정 1
9.1%
지 1
9.1%
실 1
9.1%

상세 제목20 (선택 입력)
Text

MISSING 

Distinct62
Distinct (%)1.4%
Missing81
Missing (%)1.8%
Memory size35.9 KiB
2023-12-11T19:20:27.290667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length21.124778
Min length10

Characters and Unicode

Total characters95146
Distinct characters88
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.4%

Sample

1st row화장실관련정보 문의:서울메트로9호선
2nd row화장실관련정보 문의:서울메트로9호선
3rd row화장실관련정보 문의:서울메트로9호선
4th row화장실관련정보 문의:서울메트로9호선
5th row화장실관련정보 문의:서울메트로9호선
ValueCountFrequency (%)
화장실관련정보 4476
33.1%
청소행정과 2747
20.3%
청소과 389
 
2.9%
문의:강남구청 279
 
2.1%
문의:송파구청 252
 
1.9%
문의:영등포구청 248
 
1.8%
맑은환경과 245
 
1.8%
문의:은평구청 221
 
1.6%
문의:종로구청 206
 
1.5%
문의:노원구청 191
 
1.4%
Other values (66) 4284
31.6%
2023-12-11T19:20:27.618946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9035
 
9.5%
정 7247
 
7.6%
청 7225
 
7.6%
관 4863
 
5.1%
문 4778
 
5.0%
보 4531
 
4.8%
의 4504
 
4.7%
화 4501
 
4.7%
련 4500
 
4.7%
: 4500
 
4.7%
Other values (78) 39462
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81566
85.7%
Space Separator 9035
 
9.5%
Other Punctuation 4500
 
4.7%
Decimal Number 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 7247
 
8.9%
청 7225
 
8.9%
관 4863
 
6.0%
문 4778
 
5.9%
보 4531
 
5.6%
의 4504
 
5.5%
화 4501
 
5.5%
련 4500
 
5.5%
장 4500
 
5.5%
실 4500
 
5.5%
Other values (74) 30417
37.3%
Decimal Number
ValueCountFrequency (%)
9 35
77.8%
1 10
 
22.2%
Space Separator
ValueCountFrequency (%)
9035
100.0%
Other Punctuation
ValueCountFrequency (%)
: 4500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81566
85.7%
Common 13580
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 7247
 
8.9%
청 7225
 
8.9%
관 4863
 
6.0%
문 4778
 
5.9%
보 4531
 
5.6%
의 4504
 
5.5%
화 4501
 
5.5%
련 4500
 
5.5%
장 4500
 
5.5%
실 4500
 
5.5%
Other values (74) 30417
37.3%
Common
ValueCountFrequency (%)
9035
66.5%
: 4500
33.1%
9 35
 
0.3%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81566
85.7%
ASCII 13580
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9035
66.5%
: 4500
33.1%
9 35
 
0.3%
1 10
 
0.1%
Hangul
ValueCountFrequency (%)
정 7247
 
8.9%
청 7225
 
8.9%
관 4863
 
6.0%
문 4778
 
5.9%
보 4531
 
5.6%
의 4504
 
5.5%
화 4501
 
5.5%
련 4500
 
5.5%
장 4500
 
5.5%
실 4500
 
5.5%
Other values (74) 30417
37.3%

상세 내용20 (선택 입력)
Categorical

Distinct49
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
02-3423-5963
 
266
02-2670-3503
 
248
02-2147-3284
 
247
02-351-7565
 
221
2148-2383
 
206
Other values (44)
3397 

Length

Max length12
Median length12
Mean length11.31494
Min length4

Unique

Unique5 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
02-3423-5963 266
 
5.8%
02-2670-3503 248
 
5.4%
02-2147-3284 247
 
5.4%
02-351-7565 221
 
4.8%
2148-2383 206
 
4.5%
02-2116-3816 192
 
4.2%
02-2600-4073 187
 
4.1%
3425-5864 169
 
3.7%
3396-5472 148
 
3.2%
02-2286-5526 148
 
3.2%
Other values (39) 2553
55.7%

Length

2023-12-11T19:20:27.792851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02-3423-5963 266
 
5.8%
02-2670-3503 248
 
5.4%
02-2147-3284 247
 
5.4%
02-351-7565 221
 
4.8%
2148-2383 206
 
4.5%
02-2116-3816 192
 
4.2%
02-2600-4073 187
 
4.1%
3425-5864 169
 
3.7%
3396-5472 148
 
3.2%
02-2286-5526 148
 
3.2%
Other values (39) 2553
55.7%

시계열 시작 일자 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

시계열 종료 일자 (선택 입력)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4585
Missing (%)100.0%
Memory size40.4 KiB

Sample

콘텐츠 ID (필수 입력)사용유무 (필수입력)콘텐츠명 (필수 입력)서브카테고리 명 (선택 입력)시군 (선택입력)구명 (선택입력)새주소[도로명 주소] (조건부 선택 입력)지번주소키워드다국어 (필수 입력)좌표[X] (조건부 선택 입력)좌표[Y] (조건부 선택 입력)공간객체타입 (조건부 선택 입력)라인 색상 (조건부 선택 입력)라인 패턴 (조건부 선택 입력)라인두께 (조건부 선택)전화번호 (선택 입력)웹URL (선택 입력)동영상 웹 링크 URL (선택 입력)음성파일 웹 링크 URL (선택 입력)사진 정보1[URL or 파일명] (선택 입력)사진 정보2[URL or 파일명] (선택 입력)사진 정보3[URL or 파일명] (선택 입력)사진 정보4[URL or 파일명] (선택 입력)사진 정보5[URL or 파일명] (선택 입력)상세 제목1 (선택 입력)상세 내용1 (선택 입력)상세 제목2 (선택 입력)상세 내용2 (선택 입력)상세 제목3 (선택 입력)상세 내용3 (선택 입력)상세 제목4 (선택 입력)상세 내용4 (선택 입력)상세 제목5 (선택 입력)상세 내용5 (선택 입력)상세 제목6 (선택 입력)상세 내용6 (선택 입력)상세 제목7 (선택 입력)상세 내용7 (선택 입력)상세 제목8 (선택 입력)상세 내용8 (선택 입력)상세 제목9 (선택 입력)상세 내용9 (선택 입력)상세 제목10 (선택 입력)상세 내용10 (선택 입력)상세 제목11 (선택 입력)상세 내용11 (선택 입력)상세 제목12 (선택 입력)상세 내용12 (선택 입력)상세 제목13 (선택 입력)상세 내용13 (선택 입력)상세 제목14 (선택 입력)상세 내용14 (선택 입력)상세 제목15 (선택 입력)상세 내용15 (선택 입력)상세 제목16 (선택 입력)상세 내용16 (선택 입력)상세 제목17 (선택 입력)상세 내용17 (선택 입력)상세 제목18 (선택 입력)상세 내용18 (선택 입력)상세 제목19 (선택 입력)상세 내용19 (선택 입력)상세 제목20 (선택 입력)상세 내용20 (선택 입력)시계열 시작 일자 (선택 입력)시계열 종료 일자 (선택 입력)
0testgu09-0017Y미아지구대<NA><NA>강북구도봉로 127강북구 미아동 327-1<NA>KOR127.02826637.6201551#0000FF<NA><NA>944-4116<NA><NA><NA><NA><NA><NA><NA><NA>시설구분공공기관개방시간24시변기현황남녀공용: 대변기1 소변기1(장애인 공용 사용 가능)기타설비-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1testgu09-0015Y강북경찰서 화장실(본관 1층)상시<NA>강북구오패산로 406강북구 번동 415-15<NA>KOR127.02730837.6374381#0000FF<NA><NA>944-4432<NA><NA><NA><NA><NA><NA><NA><NA>시설구분공공기관개방시간24시간변기현황남자: 대변기3 소변기4 / 여자: 대변기3 / 장애인화장실(남녀구분)기타시설화장실 입구 CCTV 설치<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2testgu09-0014Y강북중학교 앞 공중화장실상시<NA>강북구도봉로101길 71강북구 수유동 647-2<NA>KOR127.0274637.6448611#0000FF<NA><NA>02-901-6773<NA><NA><NA><NA><NA><NA><NA><NA>상세위치쌍한교 옆시설구분공중화장실개방시간24시간변기현황남자: 대변기1 소변기1 / 여자; 대변기2(재래식1 서양식1)기타설비비상벨 설치(여자3)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3testgu09-0013Y강북소방서 앞 공중화장실상시<NA>강북구한천로109길 10강북구 번동 612-3<NA>KOR127.04392637.6290331#0000FF<NA><NA>02-901-6773<NA><NA><NA><NA><NA><NA><NA><NA>상세위치강북소방서 건너편시설구분공중화장실개방시간24시간변기현황남자: 대변기2 소변기2 / 여자: 대변기3기타설비비상벨 설치(여자4)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4testgu09-0012Y번동 가로공원 공중화장실상시<NA>강북구한천로109길 10강북구 번동 612-3<NA>KOR127.04392637.6290331#0000FF<NA><NA>02-901-6773<NA><NA><NA><NA><NA><NA><NA><NA>상세위치우이천변 초안교 옆, 강북구민운동장사거리 측시설구분공중화장실개방시간24시간변기현황남자: 대변기2 소변기3 / 여자: 대변기3 / 장애인화장실(남녀공용)기타시설비상벨 설치(장애인2 여자4)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5testgu09-0011Y우이동 교통광장 공중화장실상시<NA>강북구삼양로 672강북구 우이동 5-1<NA>KOR127.01318937.662851#0000FF<NA><NA>02-901-6773<NA><NA><NA><NA><NA><NA><NA><NA>시설구분공중화장실개방시간24시간변기현황남자: 대변기2 소변기3 / 여자: 대변기3 / 장애인(남녀공용)기타설비비상벨 설치(장애인2, 여자4)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6restsa10_0035Y신논현역 화장실(9호선)정시<NA>강남구봉은사로 지하102강남구 역삼동<NA>KOR127.02501537.5046331#0000FFL002-901-0925<NA><NA><NA><NA><NA><NA><NA><NA>유형공공개방개방시간상시(연중 개방)소재지 용도지하철장애인화장실남1, 여1편의시설손건조기2,비상벨13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:서울메트로9호선02-2656-0614<NA><NA>
7restsa10_0034Y사평역 화장실(9호선)정시<NA>서초구사평대로 지하285서초구 반포동<NA>KOR127.01541937.5041581#0000FFL<NA>02-901-0924<NA><NA><NA><NA><NA><NA><NA><NA>유형공공개방개방시간평일 5:32~00:56 토요일 5:33~00:00 휴일 5:33~23:52소재지 용도지하철장애인화장실남1, 여1편의시설손건조기2,비상벨11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:서울메트로9호선02-2656-0614<NA><NA>
8restsa10_0033Y고속터미널역 화장실(안전관리실 옆)정시<NA>서초구신반포로 지하188서초구 반포동<NA>KOR127.00382237.5048991#0000FFL<NA>02-901-0923<NA><NA><NA><NA><NA><NA><NA><NA>유형공공개방개방시간평일 5:35~00:53 토요일 5:36~23:54 일요일 5:36~23:54소재지 용도지하철장애인화장실남1, 여1편의시설손건조기2,비상벨11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:서울메트로9호선02-2656-0614<NA><NA>
9restsa10_0032Y고속터미널역 화장실(4번출구))정시<NA>서초구신반포로 지하188서초구 반포동<NA>KOR127.00382237.5048991#0000FFL002-901-0923<NA><NA><NA><NA><NA><NA><NA><NA>유형공공개방개방시간상시(연중 개방)소재지 용도지하철장애인화장실남1, 여1편의시설손건조기2,비상벨10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:서울메트로9호선02-2656-0614<NA><NA>
콘텐츠 ID (필수 입력)사용유무 (필수입력)콘텐츠명 (필수 입력)서브카테고리 명 (선택 입력)시군 (선택입력)구명 (선택입력)새주소[도로명 주소] (조건부 선택 입력)지번주소키워드다국어 (필수 입력)좌표[X] (조건부 선택 입력)좌표[Y] (조건부 선택 입력)공간객체타입 (조건부 선택 입력)라인 색상 (조건부 선택 입력)라인 패턴 (조건부 선택 입력)라인두께 (조건부 선택)전화번호 (선택 입력)웹URL (선택 입력)동영상 웹 링크 URL (선택 입력)음성파일 웹 링크 URL (선택 입력)사진 정보1[URL or 파일명] (선택 입력)사진 정보2[URL or 파일명] (선택 입력)사진 정보3[URL or 파일명] (선택 입력)사진 정보4[URL or 파일명] (선택 입력)사진 정보5[URL or 파일명] (선택 입력)상세 제목1 (선택 입력)상세 내용1 (선택 입력)상세 제목2 (선택 입력)상세 내용2 (선택 입력)상세 제목3 (선택 입력)상세 내용3 (선택 입력)상세 제목4 (선택 입력)상세 내용4 (선택 입력)상세 제목5 (선택 입력)상세 내용5 (선택 입력)상세 제목6 (선택 입력)상세 내용6 (선택 입력)상세 제목7 (선택 입력)상세 내용7 (선택 입력)상세 제목8 (선택 입력)상세 내용8 (선택 입력)상세 제목9 (선택 입력)상세 내용9 (선택 입력)상세 제목10 (선택 입력)상세 내용10 (선택 입력)상세 제목11 (선택 입력)상세 내용11 (선택 입력)상세 제목12 (선택 입력)상세 내용12 (선택 입력)상세 제목13 (선택 입력)상세 내용13 (선택 입력)상세 제목14 (선택 입력)상세 내용14 (선택 입력)상세 제목15 (선택 입력)상세 내용15 (선택 입력)상세 제목16 (선택 입력)상세 내용16 (선택 입력)상세 제목17 (선택 입력)상세 내용17 (선택 입력)상세 제목18 (선택 입력)상세 내용18 (선택 입력)상세 제목19 (선택 입력)상세 내용19 (선택 입력)상세 제목20 (선택 입력)상세 내용20 (선택 입력)시계열 시작 일자 (선택 입력)시계열 종료 일자 (선택 입력)
4575restgu01_0008Y인왕산등산로입구 공중화장실상시<NA>종로구통일로18나길 17종로구 무악동 46-1894<NA>KOR126.96111237.5773961#0000FFL002-2148-2383<NA><NA><NA><NA><NA><NA><NA><NA>유형공중개방시간상시(연중개방)소재지 용도화장실장애인화장실<NA>편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4576restgu01_0007Y누상동체육시설 공중화장실상시<NA>종로구옥인6길 26-19종로구 누상동 산 1-3<NA>KOR126.96364937.5801031#0000ffL002-2148-2383<NA><NA><NA><NA><NA><NA><NA><NA>유형공공개방개방시간상시(연중개방)소재지 용도공용시설장애인화장실<NA>편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4577restgu01_0006Y인왕산수목원약수터 공중화장실상시<NA>종로구옥인길 82종로구 옥인동 179-1<NA>KOR126.96373437.5829931#0000FFL002-2148-2383<NA><NA><NA><NA><NA><NA><NA><NA>유형공중개방시간상시(연중개방)소재지 용도공원장애인화장실<NA>편의시설손건조기2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4578restgu01_0005Y춘추관앞 주차장 공중화장실상시<NA>종로구팔판길 37종로구 팔판동 15-1<NA>KOR126.98124337.5834791#0000ffL002-2148-2383<NA><NA><NA><NA><NA><NA><NA><NA>유형공중개방시간상시(연중개방)소재지 용도화장실장애인화장실<NA>편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4579restgu01_0004Y창신동 공중화장실상시<NA>종로구지봉로13길 48종로구 창신동 23-315<NA>KOR127.01249437.5784021#0000FFL002-2148-2383<NA><NA><NA><NA><NA><NA><NA><NA>유형공중개방시간상시(연중개방)소재지 용도화장실장애인화장실<NA>편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4580restgu01_0003Y구기동 공중화장실상시<NA>종로구진흥로 468-1종로구 구기동 120-6<NA>KOR126.95998137.6063681#0000FFL002-2148-2383<NA><NA><NA><NA><NA><NA><NA><NA>유형공중개방시간상시(연중개방)소재지 용도화장실장애인화장실<NA>편의시설기저귀교환대2,유아용보호의자2, 비상벨5, 손건조기1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4581restgu01_0002Y삼청동공중화장실상시<NA>종로구삼청로 117종로구 삼청동 145-39<NA>KOR126.9816237.5858721#0000FFL002-2148-2383<NA><NA><NA><NA><NA><NA><NA><NA>유형공중개방시간상시(연중개방)소재지 용도화장실장애인화장실남1,여1편의시설기저귀교환대2,유아용보호의자2, 비상벨5, 손건조기2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4582restgu01_0001Y종로구청(본관1층)상시<NA>종로구삼봉로 43종로구 수송동 146-6<NA>KOR126.97956637.5726551#0000FFL002-2148-1307<NA><NA><NA><NA><NA><NA><NA><NA>유형공공개방개방시간상시(연중개방)소재지 용도공공청사장애인화장실남1,여1편의시설손건조기1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>화장실관련정보 문의:종로구청 청소행정과2148-2383<NA><NA>
4583restgu-0016Y강북경찰서 별관 1층상시<NA>강북구오패산로 406강북구 번동 415-15<NA>KOR127.02730837.6374381#0000FF<NA><NA>02-944-4432<NA><NA><NA><NA><NA><NA><NA><NA>시설구분공공기관개방시간24시간변기현황남자: 대변기2 소변기3 / 여자 대변기3기타설비여자화장실 기저귀교환대 / 화장실 입구 CCTV 설치<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458410080352Ntest<NA><NA>중구세종대로 101<NA><NA>KOR126.97745937.5651221#0000FFL2<NA><NA><NA><NA><NA><NA><NA><NA><NA>이름임시화장실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>