Overview

Dataset statistics

Number of variables22
Number of observations751
Missing cells361
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory129.9 KiB
Average record size in memory177.2 B

Variable types

Numeric1
Categorical15
Text5
DateTime1

Dataset

Description관리번호,시군구명,무인민원발급기명,설치장소주소,설치장소상세위치,평일시작시분,평일종료시분,휴일시작시분,휴일종료시분,운영시간참고내용,설치운영URL,사용여부명,장애인편의발급기형태,시각장애인용키패드,시각장애인용음성안내,청각장애인용화면안내,점자라벨부착,이어폰소켓,촉각(전자)모니터,화면확대기능,휠체어탄사용자조작,최종수정일자
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20336/S/1/datasetView.do

Alerts

휴일종료시분 is highly imbalanced (53.3%)Imbalance
사용여부명 is highly imbalanced (98.5%)Imbalance
장애인편의발급기형태 is highly imbalanced (52.1%)Imbalance
시각장애인용키패드 is highly imbalanced (93.3%)Imbalance
시각장애인용음성안내 is highly imbalanced (93.3%)Imbalance
청각장애인용화면안내 is highly imbalanced (94.2%)Imbalance
점자라벨부착 is highly imbalanced (92.4%)Imbalance
이어폰소켓 is highly imbalanced (71.1%)Imbalance
화면확대기능 is highly imbalanced (90.6%)Imbalance
휠체어탄사용자조작 is highly imbalanced (73.4%)Imbalance
운영시간참고내용 has 361 (48.1%) missing valuesMissing

Reproduction

Analysis started2024-04-17 22:10:39.671807
Analysis finished2024-04-17 22:10:40.375616
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

Distinct124
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.37816
Minimum101
Maximum537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-18T07:10:40.434720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile117.5
Q1408
median503
Q3513
95-th percentile524
Maximum537
Range436
Interquartile range (IQR)105

Descriptive statistics

Standard deviation110.42774
Coefficient of variation (CV)0.25075662
Kurtosis3.0520745
Mean440.37816
Median Absolute Deviation (MAD)21
Skewness-1.9180852
Sum330724
Variance12194.286
MonotonicityNot monotonic
2024-04-18T07:10:40.545259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
507 20
 
2.7%
506 20
 
2.7%
505 19
 
2.5%
501 19
 
2.5%
513 18
 
2.4%
503 18
 
2.4%
404 18
 
2.4%
504 18
 
2.4%
508 17
 
2.3%
512 17
 
2.3%
Other values (114) 567
75.5%
ValueCountFrequency (%)
101 9
1.2%
102 4
0.5%
103 5
0.7%
104 3
 
0.4%
105 2
 
0.3%
106 2
 
0.3%
107 2
 
0.3%
108 2
 
0.3%
109 2
 
0.3%
110 2
 
0.3%
ValueCountFrequency (%)
537 1
 
0.1%
536 1
 
0.1%
535 1
 
0.1%
534 1
 
0.1%
533 1
 
0.1%
532 2
0.3%
531 2
0.3%
530 2
0.3%
529 2
0.3%
528 3
0.4%

시군구명
Categorical

Distinct25
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
서울특별시 강남구
58 
서울특별시 영등포구
 
41
서울특별시 은평구
 
35
서울특별시 동대문구
 
35
서울특별시 양천구
 
35
Other values (20)
547 

Length

Max length10
Median length9
Mean length9.0998668
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 종로구
2nd row서울특별시 종로구
3rd row서울특별시 종로구
4th row서울특별시 종로구
5th row서울특별시 종로구

Common Values

ValueCountFrequency (%)
서울특별시 강남구 58
 
7.7%
서울특별시 영등포구 41
 
5.5%
서울특별시 은평구 35
 
4.7%
서울특별시 동대문구 35
 
4.7%
서울특별시 양천구 35
 
4.7%
서울특별시 서초구 34
 
4.5%
서울특별시 강동구 32
 
4.3%
서울특별시 구로구 32
 
4.3%
서울특별시 관악구 31
 
4.1%
서울특별시 강서구 31
 
4.1%
Other values (15) 387
51.5%

Length

2024-04-18T07:10:40.670888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 751
50.0%
강남구 58
 
3.9%
영등포구 41
 
2.7%
은평구 35
 
2.3%
동대문구 35
 
2.3%
양천구 35
 
2.3%
서초구 34
 
2.3%
강동구 32
 
2.1%
구로구 32
 
2.1%
관악구 31
 
2.1%
Other values (16) 418
27.8%

무인민원발급기명
Text

Distinct748
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-18T07:10:40.880696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.9573901
Min length3

Characters and Unicode

Total characters5976
Distinct characters319
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique745 ?
Unique (%)99.2%

Sample

1st row청운효자동주민자치회관
2nd row강북삼성병원
3rd row종로구청 부동산정보과1
4th row종로5-6가동 주민센터
5th row헌법재판소
ValueCountFrequency (%)
주민센터 43
 
4.6%
kiosk 41
 
4.4%
종로구청 6
 
0.6%
무인민원발급기 3
 
0.3%
2 3
 
0.3%
강동구청 3
 
0.3%
지하철 3
 
0.3%
더좋은새마을금고 3
 
0.3%
새마을금고 2
 
0.2%
본점 2
 
0.2%
Other values (802) 820
88.3%
2024-04-18T07:10:41.242100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 480
 
8.0%
민 431
 
7.2%
센 411
 
6.9%
터 410
 
6.9%
주 399
 
6.7%
178
 
3.0%
2 152
 
2.5%
1 139
 
2.3%
역 106
 
1.8%
K 105
 
1.8%
Other values (309) 3165
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5052
84.5%
Decimal Number 398
 
6.7%
Uppercase Letter 274
 
4.6%
Space Separator 178
 
3.0%
Open Punctuation 26
 
0.4%
Close Punctuation 26
 
0.4%
Connector Punctuation 11
 
0.2%
Other Punctuation 6
 
0.1%
Dash Punctuation 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 480
 
9.5%
민 431
 
8.5%
센 411
 
8.1%
터 410
 
8.1%
주 399
 
7.9%
역 106
 
2.1%
구 98
 
1.9%
원 96
 
1.9%
서 94
 
1.9%
청 82
 
1.6%
Other values (280) 2445
48.4%
Uppercase Letter
ValueCountFrequency (%)
K 105
38.3%
S 53
19.3%
O 52
19.0%
I 52
19.0%
L 3
 
1.1%
M 2
 
0.7%
G 2
 
0.7%
A 2
 
0.7%
H 1
 
0.4%
C 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 152
38.2%
1 139
34.9%
3 53
 
13.3%
4 25
 
6.3%
5 9
 
2.3%
7 9
 
2.3%
6 7
 
1.8%
0 2
 
0.5%
8 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
/ 1
 
16.7%
, 1
 
16.7%
Space Separator
ValueCountFrequency (%)
178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5052
84.5%
Common 649
 
10.9%
Latin 275
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 480
 
9.5%
민 431
 
8.5%
센 411
 
8.1%
터 410
 
8.1%
주 399
 
7.9%
역 106
 
2.1%
구 98
 
1.9%
원 96
 
1.9%
서 94
 
1.9%
청 82
 
1.6%
Other values (280) 2445
48.4%
Common
ValueCountFrequency (%)
178
27.4%
2 152
23.4%
1 139
21.4%
3 53
 
8.2%
( 26
 
4.0%
) 26
 
4.0%
4 25
 
3.9%
_ 11
 
1.7%
5 9
 
1.4%
7 9
 
1.4%
Other values (7) 21
 
3.2%
Latin
ValueCountFrequency (%)
K 105
38.2%
S 53
19.3%
O 52
18.9%
I 52
18.9%
L 3
 
1.1%
M 2
 
0.7%
G 2
 
0.7%
A 2
 
0.7%
H 1
 
0.4%
C 1
 
0.4%
Other values (2) 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5052
84.5%
ASCII 924
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 480
 
9.5%
민 431
 
8.5%
센 411
 
8.1%
터 410
 
8.1%
주 399
 
7.9%
역 106
 
2.1%
구 98
 
1.9%
원 96
 
1.9%
서 94
 
1.9%
청 82
 
1.6%
Other values (280) 2445
48.4%
ASCII
ValueCountFrequency (%)
178
19.3%
2 152
16.5%
1 139
15.0%
K 105
11.4%
3 53
 
5.7%
S 53
 
5.7%
O 52
 
5.6%
I 52
 
5.6%
( 26
 
2.8%
) 26
 
2.8%
Other values (19) 88
9.5%

설치장소주소
Text

Distinct712
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-18T07:10:41.534764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length58
Mean length34.587217
Min length20

Characters and Unicode

Total characters25975
Distinct characters358
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

Unique683 ?
Unique (%)90.9%

Sample

1st row서울특별시 종로구 자하문로19길 36(옥인동)[45번지 30호]
2nd row서울특별시 종로구 새문안로 29, 강북삼성병원 (평동)
3rd row서울특별시 종로구 종로1길 36, 대림빌딩 (수송동)
4th row서울특별시 종로구 종로35가길 19(효제동)
5th row서울특별시 종로구 북촌로 15(재동)[서울특별시 종로구 재동 83번지]
ValueCountFrequency (%)
서울특별시 751
 
16.7%
강남구 86
 
1.9%
은평구 53
 
1.2%
서초구 50
 
1.1%
영등포구 50
 
1.1%
양천구 48
 
1.1%
강동구 43
 
1.0%
마포구 43
 
1.0%
동대문구 42
 
0.9%
지하 41
 
0.9%
Other values (1903) 3302
73.2%
2024-04-18T07:10:41.973713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3758
 
14.5%
동 1321
 
5.1%
서 1149
 
4.4%
구 1072
 
4.1%
시 967
 
3.7%
울 948
 
3.6%
별 936
 
3.6%
특 932
 
3.6%
로 849
 
3.3%
( 760
 
2.9%
Other values (348) 13283
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16421
63.2%
Space Separator 3758
 
14.5%
Decimal Number 3459
 
13.3%
Open Punctuation 962
 
3.7%
Close Punctuation 962
 
3.7%
Other Punctuation 349
 
1.3%
Dash Punctuation 60
 
0.2%
Uppercase Letter 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1321
 
8.0%
서 1149
 
7.0%
구 1072
 
6.5%
시 967
 
5.9%
울 948
 
5.8%
별 936
 
5.7%
특 932
 
5.7%
로 849
 
5.2%
길 332
 
2.0%
지 292
 
1.8%
Other values (325) 7623
46.4%
Decimal Number
ValueCountFrequency (%)
1 747
21.6%
2 517
14.9%
3 408
11.8%
4 323
9.3%
5 305
8.8%
7 250
 
7.2%
6 249
 
7.2%
9 240
 
6.9%
0 217
 
6.3%
8 203
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 347
99.4%
/ 1
 
0.3%
. 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
S 1
33.3%
L 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 760
79.0%
[ 202
 
21.0%
Close Punctuation
ValueCountFrequency (%)
) 760
79.0%
] 202
 
21.0%
Space Separator
ValueCountFrequency (%)
3758
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16421
63.2%
Common 9550
36.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1321
 
8.0%
서 1149
 
7.0%
구 1072
 
6.5%
시 967
 
5.9%
울 948
 
5.8%
별 936
 
5.7%
특 932
 
5.7%
로 849
 
5.2%
길 332
 
2.0%
지 292
 
1.8%
Other values (325) 7623
46.4%
Common
ValueCountFrequency (%)
3758
39.4%
( 760
 
8.0%
) 760
 
8.0%
1 747
 
7.8%
2 517
 
5.4%
3 408
 
4.3%
, 347
 
3.6%
4 323
 
3.4%
5 305
 
3.2%
7 250
 
2.6%
Other values (9) 1375
 
14.4%
Latin
ValueCountFrequency (%)
H 1
25.0%
S 1
25.0%
e 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16421
63.2%
ASCII 9554
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3758
39.3%
( 760
 
8.0%
) 760
 
8.0%
1 747
 
7.8%
2 517
 
5.4%
3 408
 
4.3%
, 347
 
3.6%
4 323
 
3.4%
5 305
 
3.2%
7 250
 
2.6%
Other values (13) 1379
 
14.4%
Hangul
ValueCountFrequency (%)
동 1321
 
8.0%
서 1149
 
7.0%
구 1072
 
6.5%
시 967
 
5.9%
울 948
 
5.8%
별 936
 
5.7%
특 932
 
5.7%
로 849
 
5.2%
길 332
 
2.0%
지 292
 
1.8%
Other values (325) 7623
46.4%

설치장소상세위치
Text

Distinct579
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-18T07:10:42.224577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length11.131824
Min length2

Characters and Unicode

Total characters8360
Distinct characters340
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique528 ?
Unique (%)70.3%

Sample

1st row종로구보건소 좌측 주민자치회관 1층 입구
2nd rowC관 1층
3rd row2층 부동산정보과
4th row2층 민원실 입구
5th row별관 1층
ValueCountFrequency (%)
1층 262
 
12.8%
민원실 172
 
8.4%
내 86
 
4.2%
입구 82
 
4.0%
로비 63
 
3.1%
옆 52
 
2.5%
주민센터 52
 
2.5%
앞 46
 
2.3%
2층 43
 
2.1%
좌측 29
 
1.4%
Other values (649) 1153
56.5%
2024-04-18T07:10:42.611197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1292
 
15.5%
민 480
 
5.7%
1 393
 
4.7%
층 382
 
4.6%
원 290
 
3.5%
구 275
 
3.3%
실 250
 
3.0%
동 242
 
2.9%
터 240
 
2.9%
센 232
 
2.8%
Other values (330) 4284
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6215
74.3%
Space Separator 1292
 
15.5%
Decimal Number 678
 
8.1%
Uppercase Letter 57
 
0.7%
Open Punctuation 48
 
0.6%
Close Punctuation 48
 
0.6%
Other Punctuation 15
 
0.2%
Lowercase Letter 5
 
0.1%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
민 480
 
7.7%
층 382
 
6.1%
원 290
 
4.7%
구 275
 
4.4%
실 250
 
4.0%
동 242
 
3.9%
터 240
 
3.9%
센 232
 
3.7%
주 224
 
3.6%
내 176
 
2.8%
Other values (294) 3424
55.1%
Uppercase Letter
ValueCountFrequency (%)
A 13
22.8%
T 12
21.1%
M 11
19.3%
G 5
 
8.8%
C 4
 
7.0%
E 3
 
5.3%
B 3
 
5.3%
I 2
 
3.5%
L 2
 
3.5%
F 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 393
58.0%
2 136
 
20.1%
3 55
 
8.1%
4 29
 
4.3%
5 28
 
4.1%
6 16
 
2.4%
7 8
 
1.2%
8 7
 
1.0%
0 4
 
0.6%
9 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
t 2
40.0%
m 1
20.0%
a 1
20.0%
k 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 45
93.8%
[ 2
 
4.2%
『 1
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 45
93.8%
] 2
 
4.2%
』 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 12
80.0%
. 3
 
20.0%
Space Separator
ValueCountFrequency (%)
1292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6215
74.3%
Common 2083
 
24.9%
Latin 62
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
민 480
 
7.7%
층 382
 
6.1%
원 290
 
4.7%
구 275
 
4.4%
실 250
 
4.0%
동 242
 
3.9%
터 240
 
3.9%
센 232
 
3.7%
주 224
 
3.6%
내 176
 
2.8%
Other values (294) 3424
55.1%
Common
ValueCountFrequency (%)
1292
62.0%
1 393
 
18.9%
2 136
 
6.5%
3 55
 
2.6%
( 45
 
2.2%
) 45
 
2.2%
4 29
 
1.4%
5 28
 
1.3%
6 16
 
0.8%
, 12
 
0.6%
Other values (11) 32
 
1.5%
Latin
ValueCountFrequency (%)
A 13
21.0%
T 12
19.4%
M 11
17.7%
G 5
 
8.1%
C 4
 
6.5%
E 3
 
4.8%
B 3
 
4.8%
I 2
 
3.2%
t 2
 
3.2%
L 2
 
3.2%
Other values (5) 5
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6215
74.3%
ASCII 2143
 
25.6%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1292
60.3%
1 393
 
18.3%
2 136
 
6.3%
3 55
 
2.6%
( 45
 
2.1%
) 45
 
2.1%
4 29
 
1.4%
5 28
 
1.3%
6 16
 
0.7%
A 13
 
0.6%
Other values (24) 91
 
4.2%
Hangul
ValueCountFrequency (%)
민 480
 
7.7%
층 382
 
6.1%
원 290
 
4.7%
구 275
 
4.4%
실 250
 
4.0%
동 242
 
3.9%
터 240
 
3.9%
센 232
 
3.7%
주 224
 
3.6%
내 176
 
2.8%
Other values (294) 3424
55.1%
None
ValueCountFrequency (%)
』 1
50.0%
『 1
50.0%

평일시작시분
Categorical

Distinct27
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
09:00
173 
00:00
155 
0900
89 
08:00
66 
0000
51 
Other values (22)
217 

Length

Max length5
Median length5
Mean length4.7217044
Min length4

Unique

Unique5 ?
Unique (%)0.7%

Sample

1st row0900
2nd row00:00
3rd row0900
4th row0900
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 173
23.0%
00:00 155
20.6%
0900 89
11.9%
08:00 66
 
8.8%
0000 51
 
6.8%
05:00 41
 
5.5%
06:00 37
 
4.9%
08:30 33
 
4.4%
0800 19
 
2.5%
0830 19
 
2.5%
Other values (17) 68
 
9.1%

Length

2024-04-18T07:10:42.731854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 173
23.0%
00:00 155
20.6%
0900 89
11.9%
08:00 66
 
8.8%
0000 51
 
6.8%
05:00 41
 
5.5%
06:00 37
 
4.9%
08:30 33
 
4.4%
0800 19
 
2.5%
0830 19
 
2.5%
Other values (17) 68
 
9.1%

평일종료시분
Categorical

Distinct33
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
18:00
191 
24:00
188 
1800
100 
2400
54 
19:00
30 
Other values (28)
188 

Length

Max length5
Median length5
Mean length4.7217044
Min length4

Unique

Unique9 ?
Unique (%)1.2%

Sample

1st row1800
2nd row24:00
3rd row1800
4th row1800
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 191
25.4%
24:00 188
25.0%
1800 100
13.3%
2400 54
 
7.2%
19:00 30
 
4.0%
01:00 22
 
2.9%
20:00 21
 
2.8%
21:00 19
 
2.5%
23:00 19
 
2.5%
18:30 11
 
1.5%
Other values (23) 96
12.8%

Length

2024-04-18T07:10:42.841563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 191
25.4%
24:00 188
25.0%
1800 100
13.3%
2400 54
 
7.2%
19:00 30
 
4.0%
01:00 22
 
2.9%
20:00 21
 
2.8%
21:00 19
 
2.5%
23:00 19
 
2.5%
18:30 11
 
1.5%
Other values (23) 96
12.8%

휴일시작시분
Categorical

Distinct22
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
384 
00:00
155 
0000
49 
05:00
41 
06:00
 
35
Other values (17)
87 

Length

Max length5
Median length4
Mean length4.3728362
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row00:00
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 384
51.1%
00:00 155
20.6%
0000 49
 
6.5%
05:00 41
 
5.5%
06:00 35
 
4.7%
09:00 12
 
1.6%
07:00 10
 
1.3%
0500 9
 
1.2%
0530 9
 
1.2%
05:30 8
 
1.1%
Other values (12) 39
 
5.2%

Length

2024-04-18T07:10:42.934834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 384
51.1%
00:00 155
20.6%
0000 49
 
6.5%
05:00 41
 
5.5%
06:00 35
 
4.7%
09:00 12
 
1.6%
07:00 10
 
1.3%
0500 9
 
1.2%
0530 9
 
1.2%
05:30 8
 
1.1%
Other values (12) 39
 
5.2%

휴일종료시분
Categorical

IMBALANCE 

Distinct31
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
384 
24:00
203 
2400
52 
23:00
 
18
23:30
 
11
Other values (26)
83 

Length

Max length5
Median length4
Mean length4.3728362
Min length4

Unique

Unique11 ?
Unique (%)1.5%

Sample

1st row<NA>
2nd row24:00
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 384
51.1%
24:00 203
27.0%
2400 52
 
6.9%
23:00 18
 
2.4%
23:30 11
 
1.5%
2359 9
 
1.2%
02:00 8
 
1.1%
2300 7
 
0.9%
01:00 6
 
0.8%
13:00 6
 
0.8%
Other values (21) 47
 
6.3%

Length

2024-04-18T07:10:43.028424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 384
51.1%
24:00 203
27.0%
2400 52
 
6.9%
23:00 18
 
2.4%
23:30 11
 
1.5%
2359 9
 
1.2%
02:00 8
 
1.1%
2300 7
 
0.9%
01:00 6
 
0.8%
13:00 6
 
0.8%
Other values (21) 47
 
6.3%

운영시간참고내용
Text

MISSING 

Distinct141
Distinct (%)36.2%
Missing361
Missing (%)48.1%
Memory size6.0 KiB
2024-04-18T07:10:43.208671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length40
Mean length15.620513
Min length4

Characters and Unicode

Total characters6092
Distinct characters157
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)26.7%

Sample

1st row주말정기 휴무
2nd row연중무휴
3rd row주말정기 휴무
4th row토요일,일요일(주말),공휴일 휴무
5th row연중무휴
ValueCountFrequency (%)
및 109
 
8.3%
공휴일 85
 
6.5%
주말 81
 
6.2%
미운영 58
 
4.4%
운영 49
 
3.7%
이용 46
 
3.5%
주말(공휴일 44
 
3.3%
24시간 39
 
3.0%
휴무 38
 
2.9%
365일 38
 
2.9%
Other values (192) 727
55.3%
2024-04-18T07:10:43.543897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
927
 
15.2%
일 428
 
7.0%
0 342
 
5.6%
휴 297
 
4.9%
공 172
 
2.8%
주 171
 
2.8%
말 168
 
2.8%
시 163
 
2.7%
운 158
 
2.6%
영 157
 
2.6%
Other values (147) 3109
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3722
61.1%
Space Separator 927
 
15.2%
Decimal Number 870
 
14.3%
Other Punctuation 336
 
5.5%
Open Punctuation 81
 
1.3%
Close Punctuation 80
 
1.3%
Math Symbol 65
 
1.1%
Uppercase Letter 8
 
0.1%
Dash Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 428
 
11.5%
휴 297
 
8.0%
공 172
 
4.6%
주 171
 
4.6%
말 168
 
4.5%
시 163
 
4.4%
운 158
 
4.2%
영 157
 
4.2%
가 145
 
3.9%
간 131
 
3.5%
Other values (119) 1732
46.5%
Decimal Number
ValueCountFrequency (%)
0 342
39.3%
2 127
 
14.6%
1 88
 
10.1%
4 77
 
8.9%
3 72
 
8.3%
5 59
 
6.8%
6 41
 
4.7%
8 29
 
3.3%
9 27
 
3.1%
7 8
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
R 1
12.5%
C 1
12.5%
M 1
12.5%
D 1
12.5%
T 1
12.5%
G 1
12.5%
Other Punctuation
ValueCountFrequency (%)
: 121
36.0%
, 109
32.4%
. 94
28.0%
/ 10
 
3.0%
※ 2
 
0.6%
Space Separator
ValueCountFrequency (%)
927
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3722
61.1%
Common 2361
38.8%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 428
 
11.5%
휴 297
 
8.0%
공 172
 
4.6%
주 171
 
4.6%
말 168
 
4.5%
시 163
 
4.4%
운 158
 
4.2%
영 157
 
4.2%
가 145
 
3.9%
간 131
 
3.5%
Other values (119) 1732
46.5%
Common
ValueCountFrequency (%)
927
39.3%
0 342
 
14.5%
2 127
 
5.4%
: 121
 
5.1%
, 109
 
4.6%
. 94
 
4.0%
1 88
 
3.7%
( 81
 
3.4%
) 80
 
3.4%
4 77
 
3.3%
Other values (10) 315
 
13.3%
Latin
ValueCountFrequency (%)
S 2
22.2%
R 1
11.1%
C 1
11.1%
M 1
11.1%
D 1
11.1%
T 1
11.1%
G 1
11.1%
x 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3722
61.1%
ASCII 2368
38.9%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
927
39.1%
0 342
 
14.4%
2 127
 
5.4%
: 121
 
5.1%
, 109
 
4.6%
. 94
 
4.0%
1 88
 
3.7%
( 81
 
3.4%
) 80
 
3.4%
4 77
 
3.3%
Other values (17) 322
 
13.6%
Hangul
ValueCountFrequency (%)
일 428
 
11.5%
휴 297
 
8.0%
공 172
 
4.6%
주 171
 
4.6%
말 168
 
4.5%
시 163
 
4.4%
운 158
 
4.2%
영 157
 
4.2%
가 145
 
3.9%
간 131
 
3.5%
Other values (119) 1732
46.5%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%

설치운영URL
Text

Distinct67
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-18T07:10:43.767780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length146
Median length75
Mean length65.046605
Min length37

Characters and Unicode

Total characters48850
Distinct characters62
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)3.6%

Sample

1st rowhttp://www.jongno.go.kr/Main.do?menuId=1015&menuNo=1015
2nd rowhttp://www.jongno.go.kr/Main.do?menuId=1015&menuNo=1015
3rd rowhttp://www.jongno.go.kr/Main.do?menuId=1015&menuNo=1015
4th rowhttp://www.jongno.go.kr/Main.do?menuId=1015&menuNo=1015
5th rowhttp://www.jongno.go.kr/Main.do?menuId=1015&menuNo=1015
ValueCountFrequency (%)
http://www.seocho.go.kr/site/seocho/01/10101050000002015070109.jsp 34
 
4.5%
https://www.gangdong.go.kr/site/contents/korenew/html00/html04/index04.html 32
 
4.3%
http://www.yangcheon.go.kr/site/yangcheon/01/10101040000002016081013.jsp 32
 
4.3%
https://www.guro.go.kr/www/contents.do;jsessionid=2b2734df1e4bdabe4c4c17ea2a087147.3c9fdff513c606261?key=1625 31
 
4.1%
http://www.ddm.go.kr/civil/multicivilnopeople.jsp 29
 
3.9%
http://www.gangnam.go.kr/contents/dispenser/1/view.do?mid=fm010103 29
 
3.9%
http://www.junggu.seoul.kr/minwon/content.do?cmsid=13984 29
 
3.9%
http://www.gwanak.go.kr/site/gwanak/03/10301040000002016051203.jsp 29
 
3.9%
http://www.ydp.go.kr/main/page.do?mcode=a010010000 29
 
3.9%
http://www.ep.go.kr/cmsweb/viewpage.req?idx=pg0000000763 29
 
3.9%
Other values (57) 448
59.7%
2024-04-18T07:10:44.106109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3760
 
7.7%
0 3672
 
7.5%
. 2995
 
6.1%
w 2971
 
6.1%
o 2902
 
5.9%
t 2887
 
5.9%
n 2644
 
5.4%
e 2094
 
4.3%
s 1784
 
3.7%
g 1609
 
3.3%
Other values (52) 21532
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30107
61.6%
Other Punctuation 8321
 
17.0%
Decimal Number 8011
 
16.4%
Uppercase Letter 1523
 
3.1%
Math Symbol 714
 
1.5%
Connector Punctuation 174
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 2971
 
9.9%
o 2902
 
9.6%
t 2887
 
9.6%
n 2644
 
8.8%
e 2094
 
7.0%
s 1784
 
5.9%
g 1609
 
5.3%
p 1445
 
4.8%
i 1338
 
4.4%
d 1224
 
4.1%
Other values (15) 9209
30.6%
Uppercase Letter
ValueCountFrequency (%)
C 259
17.0%
N 219
14.4%
P 173
11.4%
A 152
10.0%
M 148
9.7%
E 93
 
6.1%
B 93
 
6.1%
D 80
 
5.3%
F 71
 
4.7%
S 45
 
3.0%
Other values (9) 190
12.5%
Decimal Number
ValueCountFrequency (%)
0 3672
45.8%
1 1571
19.6%
2 588
 
7.3%
4 547
 
6.8%
3 496
 
6.2%
6 293
 
3.7%
5 278
 
3.5%
7 233
 
2.9%
8 192
 
2.4%
9 141
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 3760
45.2%
. 2995
36.0%
: 782
 
9.4%
? 435
 
5.2%
& 318
 
3.8%
; 31
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 714
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31630
64.7%
Common 17220
35.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 2971
 
9.4%
o 2902
 
9.2%
t 2887
 
9.1%
n 2644
 
8.4%
e 2094
 
6.6%
s 1784
 
5.6%
g 1609
 
5.1%
p 1445
 
4.6%
i 1338
 
4.2%
d 1224
 
3.9%
Other values (34) 10732
33.9%
Common
ValueCountFrequency (%)
/ 3760
21.8%
0 3672
21.3%
. 2995
17.4%
1 1571
9.1%
: 782
 
4.5%
= 714
 
4.1%
2 588
 
3.4%
4 547
 
3.2%
3 496
 
2.9%
? 435
 
2.5%
Other values (8) 1660
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3760
 
7.7%
0 3672
 
7.5%
. 2995
 
6.1%
w 2971
 
6.1%
o 2902
 
5.9%
t 2887
 
5.9%
n 2644
 
5.4%
e 2094
 
4.3%
s 1784
 
3.7%
g 1609
 
3.3%
Other values (52) 21532
44.1%

사용여부명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
사용
750 
미사용
 
1

Length

Max length3
Median length2
Mean length2.0013316
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사용 750
99.9%
미사용 1
 
0.1%

Length

2024-04-18T07:10:44.217026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:44.303932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용 750
99.9%
미사용 1
 
0.1%

장애인편의발급기형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
장애인겸용
600 
일반(장애인 편의기능 일부 포함)
147 
일반
 
4

Length

Max length18
Median length5
Mean length7.5286285
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인겸용
2nd row장애인겸용
3rd row일반(장애인 편의기능 일부 포함)
4th row장애인겸용
5th row장애인겸용

Common Values

ValueCountFrequency (%)
장애인겸용 600
79.9%
일반(장애인 편의기능 일부 포함) 147
 
19.6%
일반 4
 
0.5%

Length

2024-04-18T07:10:44.397103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:44.486482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인겸용 600
50.3%
일반(장애인 147
 
12.3%
편의기능 147
 
12.3%
일부 147
 
12.3%
포함 147
 
12.3%
일반 4
 
0.3%

시각장애인용키패드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
제공
745 
미제공
 
6

Length

Max length3
Median length2
Mean length2.0079893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제공 745
99.2%
미제공 6
 
0.8%

Length

2024-04-18T07:10:44.604167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:44.697905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제공 745
99.2%
미제공 6
 
0.8%

시각장애인용음성안내
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
제공
745 
미제공
 
6

Length

Max length3
Median length2
Mean length2.0079893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제공 745
99.2%
미제공 6
 
0.8%

Length

2024-04-18T07:10:44.793722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:44.907397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제공 745
99.2%
미제공 6
 
0.8%

청각장애인용화면안내
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
제공
746 
미제공
 
5

Length

Max length3
Median length2
Mean length2.0066578
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제공 746
99.3%
미제공 5
 
0.7%

Length

2024-04-18T07:10:44.995141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:45.078317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제공 746
99.3%
미제공 5
 
0.7%

점자라벨부착
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
부착
744 
미부착
 
7

Length

Max length3
Median length2
Mean length2.0093209
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부착 744
99.1%
미부착 7
 
0.9%

Length

2024-04-18T07:10:45.162885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:45.250171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부착 744
99.1%
미부착 7
 
0.9%

이어폰소켓
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
제공
713 
미제공
 
38

Length

Max length3
Median length2
Mean length2.0505992
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제공 713
94.9%
미제공 38
 
5.1%

Length

2024-04-18T07:10:45.351176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:45.454883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제공 713
94.9%
미제공 38
 
5.1%

촉각(전자)모니터
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
미제공
502 
제공
249 

Length

Max length3
Median length3
Mean length2.6684421
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미제공
2nd row제공
3rd row미제공
4th row미제공
5th row미제공

Common Values

ValueCountFrequency (%)
미제공 502
66.8%
제공 249
33.2%

Length

2024-04-18T07:10:45.550630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:45.648873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미제공 502
66.8%
제공 249
33.2%

화면확대기능
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
제공
742 
미제공
 
9

Length

Max length3
Median length2
Mean length2.011984
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제공 742
98.8%
미제공 9
 
1.2%

Length

2024-04-18T07:10:45.746041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:45.832611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제공 742
98.8%
미제공 9
 
1.2%

휠체어탄사용자조작
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
가능
717 
불가능
 
34

Length

Max length3
Median length2
Mean length2.045273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 717
95.5%
불가능 34
 
4.5%

Length

2024-04-18T07:10:45.948099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:10:46.034387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 717
95.5%
불가능 34
 
4.5%

최종수정일자
Date

Distinct565
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2020-06-29 15:41:50
Maximum2024-04-08 16:06:08
2024-04-18T07:10:46.135805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:10:46.275983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

관리번호시군구명무인민원발급기명설치장소주소설치장소상세위치평일시작시분평일종료시분휴일시작시분휴일종료시분운영시간참고내용설치운영URL사용여부명장애인편의발급기형태시각장애인용키패드시각장애인용음성안내청각장애인용화면안내점자라벨부착이어폰소켓촉각(전자)모니터화면확대기능휠체어탄사용자조작최종수정일자
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6524서울특별시 종로구상하이영사관서울특별시 종로구 종로1길 36, 종로구청 (수송동)상하이영사관00:0024:0000:0024:00<NA>https://overseas.mofa.go.kr/waitingroom/main.html사용장애인겸용제공제공제공부착제공제공제공가능2024-01-02 09:16:39
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관리번호시군구명무인민원발급기명설치장소주소설치장소상세위치평일시작시분평일종료시분휴일시작시분휴일종료시분운영시간참고내용설치운영URL사용여부명장애인편의발급기형태시각장애인용키패드시각장애인용음성안내청각장애인용화면안내점자라벨부착이어폰소켓촉각(전자)모니터화면확대기능휠체어탄사용자조작최종수정일자
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745413서울특별시 강동구상일동역서울특별시 강동구 고덕로 지하 359, 상일동역 (상일동)상일동역 지하1층 대합실05:0001:0005:0024:00지하철역사 운영시간 내 발급가능(연중무휴)https://www.gangdong.go.kr/site/contents/koRenew/html00/html04/index04.html사용장애인겸용제공제공제공부착제공미제공제공가능2024-02-01 09:42:07
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