Overview

Dataset statistics

Number of variables21
Number of observations608
Missing cells9
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.3 KiB
Average record size in memory172.2 B

Variable types

Text6
Categorical6
Numeric3
DateTime4
Boolean2

Dataset

Description전동휠체어급속충전기(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=JVJZ13QVFZF6SNUQ7G1L28995850&infSeq=1

Alerts

시도명 has constant value ""Constant
평일운영종료시각 is highly imbalanced (52.2%)Imbalance
소재지도로명주소 has 9 (1.5%) missing valuesMissing

Reproduction

Analysis started2024-05-10 20:52:11.970656
Analysis finished2024-05-10 20:52:13.884379
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct595
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-10T20:52:14.386593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.6315789
Min length3

Characters and Unicode

Total characters5248
Distinct characters322
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

Unique584 ?
Unique (%)96.1%

Sample

1st row아름채노인복지관
2nd row사랑채노인복지과
3rd row희망나래장애인복지관
4th row장애인재활자립작업장
5th row청계종합사회복지관
ValueCountFrequency (%)
행정복지센터 47
 
5.9%
경기도 21
 
2.6%
안성시 13
 
1.6%
과천시 6
 
0.8%
지체장애인협회 5
 
0.6%
출입구 4
 
0.5%
복지회관 4
 
0.5%
1층 4
 
0.5%
수원컨벤션센터 4
 
0.5%
오산시 3
 
0.4%
Other values (656) 685
86.1%
2024-05-10T20:52:15.585724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 289
 
5.5%
복 239
 
4.6%
터 192
 
3.7%
센 189
 
3.6%
188
 
3.6%
관 172
 
3.3%
동 158
 
3.0%
시 152
 
2.9%
정 146
 
2.8%
인 122
 
2.3%
Other values (312) 3401
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4884
93.1%
Space Separator 188
 
3.6%
Decimal Number 74
 
1.4%
Close Punctuation 42
 
0.8%
Open Punctuation 40
 
0.8%
Uppercase Letter 19
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 289
 
5.9%
복 239
 
4.9%
터 192
 
3.9%
센 189
 
3.9%
관 172
 
3.5%
동 158
 
3.2%
시 152
 
3.1%
정 146
 
3.0%
인 122
 
2.5%
행 118
 
2.4%
Other values (291) 3107
63.6%
Uppercase Letter
ValueCountFrequency (%)
T 3
15.8%
S 3
15.8%
K 3
15.8%
X 2
10.5%
R 2
10.5%
C 2
10.5%
G 1
 
5.3%
A 1
 
5.3%
E 1
 
5.3%
H 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 27
36.5%
2 21
28.4%
3 16
21.6%
7 6
 
8.1%
4 2
 
2.7%
5 1
 
1.4%
8 1
 
1.4%
Space Separator
ValueCountFrequency (%)
188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4884
93.1%
Common 345
 
6.6%
Latin 19
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 289
 
5.9%
복 239
 
4.9%
터 192
 
3.9%
센 189
 
3.9%
관 172
 
3.5%
동 158
 
3.2%
시 152
 
3.1%
정 146
 
3.0%
인 122
 
2.5%
행 118
 
2.4%
Other values (291) 3107
63.6%
Common
ValueCountFrequency (%)
188
54.5%
) 42
 
12.2%
( 40
 
11.6%
1 27
 
7.8%
2 21
 
6.1%
3 16
 
4.6%
7 6
 
1.7%
4 2
 
0.6%
5 1
 
0.3%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
T 3
15.8%
S 3
15.8%
K 3
15.8%
X 2
10.5%
R 2
10.5%
C 2
10.5%
G 1
 
5.3%
A 1
 
5.3%
E 1
 
5.3%
H 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4884
93.1%
ASCII 364
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 289
 
5.9%
복 239
 
4.9%
터 192
 
3.9%
센 189
 
3.9%
관 172
 
3.5%
동 158
 
3.2%
시 152
 
3.1%
정 146
 
3.0%
인 122
 
2.5%
행 118
 
2.4%
Other values (291) 3107
63.6%
ASCII
ValueCountFrequency (%)
188
51.6%
) 42
 
11.5%
( 40
 
11.0%
1 27
 
7.4%
2 21
 
5.8%
3 16
 
4.4%
7 6
 
1.6%
T 3
 
0.8%
S 3
 
0.8%
K 3
 
0.8%
Other values (11) 15
 
4.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
경기도
608 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 608
100.0%

Length

2024-05-10T20:52:16.043271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:52:16.711996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 608
100.0%

시군구명
Categorical

Distinct31
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
성남시
79 
수원시
60 
용인시
39 
부천시
 
32
시흥시
 
29
Other values (26)
369 

Length

Max length4
Median length3
Mean length3.0855263
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 79
 
13.0%
수원시 60
 
9.9%
용인시 39
 
6.4%
부천시 32
 
5.3%
시흥시 29
 
4.8%
안양시 26
 
4.3%
안산시 24
 
3.9%
구리시 21
 
3.5%
남양주시 21
 
3.5%
오산시 20
 
3.3%
Other values (21) 257
42.3%

Length

2024-05-10T20:52:17.017452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 79
 
13.0%
수원시 60
 
9.9%
용인시 39
 
6.4%
부천시 32
 
5.3%
시흥시 29
 
4.8%
안양시 26
 
4.3%
안산시 24
 
3.9%
구리시 21
 
3.5%
남양주시 21
 
3.5%
오산시 20
 
3.3%
Other values (21) 257
42.3%

시군구코드
Real number (ℝ)

Distinct38
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40634.334
Minimum11680
Maximum41830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-10T20:52:17.383843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11680
5-th percentile41110
Q141135
median41281
Q341460
95-th percentile41670
Maximum41830
Range30150
Interquartile range (IQR)325

Descriptive statistics

Standard deviation4455.4342
Coefficient of variation (CV)0.10964704
Kurtosis38.531784
Mean40634.334
Median Absolute Deviation (MAD)148
Skewness-6.346251
Sum24705675
Variance19850894
MonotonicityNot monotonic
2024-05-10T20:52:17.716429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
41110 60
 
9.9%
41460 39
 
6.4%
41135 38
 
6.2%
41390 29
 
4.8%
41170 26
 
4.3%
41131 23
 
3.8%
41360 21
 
3.5%
41310 21
 
3.5%
41370 20
 
3.3%
41192 19
 
3.1%
Other values (28) 312
51.3%
ValueCountFrequency (%)
11680 14
 
2.3%
40200 10
 
1.6%
41110 60
9.9%
41131 23
 
3.8%
41133 18
 
3.0%
41135 38
6.2%
41150 15
 
2.5%
41170 26
4.3%
41192 19
 
3.1%
41194 5
 
0.8%
ValueCountFrequency (%)
41830 15
2.5%
41820 10
1.6%
41800 2
 
0.3%
41670 18
3.0%
41650 4
 
0.7%
41630 5
 
0.8%
41610 13
2.1%
41590 17
2.8%
41570 18
3.0%
41550 18
3.0%

소재지도로명주소
Text

MISSING 

Distinct574
Distinct (%)95.8%
Missing9
Missing (%)1.5%
Memory size4.9 KiB
2024-05-10T20:52:18.401317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length20.041736
Min length12

Characters and Unicode

Total characters12005
Distinct characters271
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

Unique552 ?
Unique (%)92.2%

Sample

1st row경기도 의왕시 문화공원로 47
2nd row경기도 의왕시 복지로 109
3rd row경기도 의왕시 오전로 27
4th row경기도 의왕시 고산로 25
5th row경기도 의왕시 덕장로 19
ValueCountFrequency (%)
경기도 598
 
21.0%
성남시 76
 
2.7%
수원시 58
 
2.0%
용인시 39
 
1.4%
분당구 35
 
1.2%
부천시 32
 
1.1%
시흥시 29
 
1.0%
안양시 26
 
0.9%
지하 25
 
0.9%
안산시 24
 
0.8%
Other values (993) 1900
66.9%
2024-05-10T20:52:19.380249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2243
18.7%
경 635
 
5.3%
기 628
 
5.2%
도 615
 
5.1%
시 613
 
5.1%
로 558
 
4.6%
1 387
 
3.2%
구 301
 
2.5%
2 260
 
2.2%
3 235
 
2.0%
Other values (261) 5530
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7551
62.9%
Space Separator 2243
 
18.7%
Decimal Number 1913
 
15.9%
Close Punctuation 113
 
0.9%
Open Punctuation 113
 
0.9%
Dash Punctuation 53
 
0.4%
Other Punctuation 17
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 635
 
8.4%
기 628
 
8.3%
도 615
 
8.1%
시 613
 
8.1%
로 558
 
7.4%
구 301
 
4.0%
동 179
 
2.4%
길 171
 
2.3%
원 152
 
2.0%
남 149
 
2.0%
Other values (244) 3550
47.0%
Decimal Number
ValueCountFrequency (%)
1 387
20.2%
2 260
13.6%
3 235
12.3%
4 191
10.0%
5 184
9.6%
0 159
8.3%
6 143
 
7.5%
7 125
 
6.5%
9 116
 
6.1%
8 113
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
2243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7551
62.9%
Common 4452
37.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 635
 
8.4%
기 628
 
8.3%
도 615
 
8.1%
시 613
 
8.1%
로 558
 
7.4%
구 301
 
4.0%
동 179
 
2.4%
길 171
 
2.3%
원 152
 
2.0%
남 149
 
2.0%
Other values (244) 3550
47.0%
Common
ValueCountFrequency (%)
2243
50.4%
1 387
 
8.7%
2 260
 
5.8%
3 235
 
5.3%
4 191
 
4.3%
5 184
 
4.1%
0 159
 
3.6%
6 143
 
3.2%
7 125
 
2.8%
9 116
 
2.6%
Other values (5) 409
 
9.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7551
62.9%
ASCII 4454
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2243
50.4%
1 387
 
8.7%
2 260
 
5.8%
3 235
 
5.3%
4 191
 
4.3%
5 184
 
4.1%
0 159
 
3.6%
6 143
 
3.2%
7 125
 
2.8%
9 116
 
2.6%
Other values (7) 411
 
9.2%
Hangul
ValueCountFrequency (%)
경 635
 
8.4%
기 628
 
8.3%
도 615
 
8.1%
시 613
 
8.1%
로 558
 
7.4%
구 301
 
4.0%
동 179
 
2.4%
길 171
 
2.3%
원 152
 
2.0%
남 149
 
2.0%
Other values (244) 3550
47.0%

소재지지번주소
Text

Distinct579
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-10T20:52:19.960163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length19.447368
Min length13

Characters and Unicode

Total characters11824
Distinct characters220
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique554 ?
Unique (%)91.1%

Sample

1st row경기도 의왕시 고천동 100번지
2nd row경기도 의왕시 내손동 849-2번지
3rd row경기도 의왕시 고천동 497-1번지
4th row경기도 의왕시 고천동 439-212번지
5th row경기도 의왕시 청계동 983번지
ValueCountFrequency (%)
경기도 607
 
21.5%
성남시 79
 
2.8%
수원시 60
 
2.1%
용인시 39
 
1.4%
분당구 38
 
1.3%
부천시 32
 
1.1%
시흥시 29
 
1.0%
안양시 26
 
0.9%
안산시 24
 
0.9%
수정구 22
 
0.8%
Other values (1001) 1862
66.1%
2024-05-10T20:52:20.919077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2210
18.7%
기 628
 
5.3%
도 614
 
5.2%
경 612
 
5.2%
시 610
 
5.2%
동 559
 
4.7%
1 418
 
3.5%
- 359
 
3.0%
구 309
 
2.6%
2 285
 
2.4%
Other values (210) 5220
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6975
59.0%
Decimal Number 2276
 
19.2%
Space Separator 2210
 
18.7%
Dash Punctuation 359
 
3.0%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 628
 
9.0%
도 614
 
8.8%
경 612
 
8.8%
시 610
 
8.7%
동 559
 
8.0%
구 309
 
4.4%
지 177
 
2.5%
번 150
 
2.2%
양 149
 
2.1%
원 141
 
2.0%
Other values (196) 3026
43.4%
Decimal Number
ValueCountFrequency (%)
1 418
18.4%
2 285
12.5%
3 239
10.5%
5 223
9.8%
4 216
9.5%
8 211
9.3%
6 196
8.6%
7 174
7.6%
0 173
7.6%
9 141
 
6.2%
Space Separator
ValueCountFrequency (%)
2210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 359
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6975
59.0%
Common 4848
41.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 628
 
9.0%
도 614
 
8.8%
경 612
 
8.8%
시 610
 
8.7%
동 559
 
8.0%
구 309
 
4.4%
지 177
 
2.5%
번 150
 
2.2%
양 149
 
2.1%
원 141
 
2.0%
Other values (196) 3026
43.4%
Common
ValueCountFrequency (%)
2210
45.6%
1 418
 
8.6%
- 359
 
7.4%
2 285
 
5.9%
3 239
 
4.9%
5 223
 
4.6%
4 216
 
4.5%
8 211
 
4.4%
6 196
 
4.0%
7 174
 
3.6%
Other values (3) 317
 
6.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6975
59.0%
ASCII 4849
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2210
45.6%
1 418
 
8.6%
- 359
 
7.4%
2 285
 
5.9%
3 239
 
4.9%
5 223
 
4.6%
4 216
 
4.5%
8 211
 
4.4%
6 196
 
4.0%
7 174
 
3.6%
Other values (4) 318
 
6.6%
Hangul
ValueCountFrequency (%)
기 628
 
9.0%
도 614
 
8.8%
경 612
 
8.8%
시 610
 
8.7%
동 559
 
8.0%
구 309
 
4.4%
지 177
 
2.5%
번 150
 
2.2%
양 149
 
2.1%
원 141
 
2.0%
Other values (196) 3026
43.4%

위도
Real number (ℝ)

Distinct583
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.425661
Minimum36.943306
Maximum38.029007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-10T20:52:21.349155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.943306
5-th percentile37.12023
Q137.288236
median37.402486
Q337.538352
95-th percentile37.832504
Maximum38.029007
Range1.0857008
Interquartile range (IQR)0.2501164

Descriptive statistics

Standard deviation0.20481397
Coefficient of variation (CV)0.0054725545
Kurtosis0.15880289
Mean37.425661
Median Absolute Deviation (MAD)0.11793334
Skewness0.42103309
Sum22754.802
Variance0.041948761
MonotonicityNot monotonic
2024-05-10T20:52:21.783923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.28586149 4
 
0.7%
37.428857 3
 
0.5%
37.30402833 3
 
0.5%
37.7379901517 2
 
0.3%
37.5999927 2
 
0.3%
37.3222219 2
 
0.3%
37.28825808 2
 
0.3%
37.63256443 2
 
0.3%
37.3849405406 2
 
0.3%
37.26316936 2
 
0.3%
Other values (573) 584
96.1%
ValueCountFrequency (%)
36.94330615 1
0.2%
36.97535835 1
0.2%
36.9856239588 1
0.2%
36.986899 1
0.2%
36.989298 1
0.2%
36.990895 1
0.2%
36.991846 1
0.2%
36.9922987648 1
0.2%
36.996253 1
0.2%
37.00019465 1
0.2%
ValueCountFrequency (%)
38.02900691 1
0.2%
38.02808666 1
0.2%
37.94652177 1
0.2%
37.93739576 1
0.2%
37.9143185 1
0.2%
37.90742177 1
0.2%
37.9065444923 2
0.3%
37.90605044 1
0.2%
37.90604553 1
0.2%
37.90526403 1
0.2%

경도
Real number (ℝ)

Distinct585
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05877
Minimum126.61479
Maximum127.75141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-05-10T20:52:22.294975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.61479
5-th percentile126.75102
Q1126.91956
median127.0611
Q3127.15311
95-th percentile127.49132
Maximum127.75141
Range1.1366213
Interquartile range (IQR)0.23355011

Descriptive statistics

Standard deviation0.21453451
Coefficient of variation (CV)0.0016884667
Kurtosis0.54714694
Mean127.05877
Median Absolute Deviation (MAD)0.11297312
Skewness0.60730184
Sum77251.732
Variance0.046025055
MonotonicityNot monotonic
2024-05-10T20:52:22.856417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0594469 4
 
0.7%
127.002012 3
 
0.5%
127.0103129 3
 
0.5%
126.7869671 2
 
0.3%
126.9566874 2
 
0.3%
126.9270039468 2
 
0.3%
127.0776653 2
 
0.3%
126.815263 2
 
0.3%
127.1998076 2
 
0.3%
127.0477086764 2
 
0.3%
Other values (575) 584
96.1%
ValueCountFrequency (%)
126.6147937 1
0.2%
126.6254245 1
0.2%
126.6279841 1
0.2%
126.6350257 1
0.2%
126.643737 1
0.2%
126.6587456 1
0.2%
126.6690514 1
0.2%
126.683858 1
0.2%
126.6993521 1
0.2%
126.7057475 1
0.2%
ValueCountFrequency (%)
127.751415 1
0.2%
127.7110728 1
0.2%
127.710761 1
0.2%
127.6790797 1
0.2%
127.6745053 1
0.2%
127.6622986 1
0.2%
127.6411482 1
0.2%
127.6403935 1
0.2%
127.6402345 1
0.2%
127.6396267 1
0.2%

설치장소설명
Text

Distinct460
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-10T20:52:23.431357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length25
Mean length11.358553
Min length2

Characters and Unicode

Total characters6906
Distinct characters320
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

Unique416 ?
Unique (%)68.4%

Sample

1st row아름채노인복지관 1층 강당입구 앞
2nd row사랑채노인복지관 1층 로비 자판기 앞
3rd row희망나래장애인복지관 1층 안내데스크 옆
4th row장애인재활자립장 1층 출입문 앞
5th row청계종합사회복지관 1층 로비
ValueCountFrequency (%)
1층 270
 
14.8%
앞 117
 
6.4%
옆 97
 
5.3%
로비 85
 
4.7%
입구 68
 
3.7%
내 53
 
2.9%
출입구 43
 
2.4%
민원실 29
 
1.6%
정문 27
 
1.5%
엘리베이터 26
 
1.4%
Other values (525) 1012
55.4%
2024-05-10T20:52:24.389834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1224
 
17.7%
층 357
 
5.2%
1 331
 
4.8%
구 211
 
3.1%
입 173
 
2.5%
지 170
 
2.5%
관 141
 
2.0%
복 135
 
2.0%
실 128
 
1.9%
앞 125
 
1.8%
Other values (310) 3911
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5130
74.3%
Space Separator 1224
 
17.7%
Decimal Number 409
 
5.9%
Close Punctuation 47
 
0.7%
Open Punctuation 47
 
0.7%
Uppercase Letter 29
 
0.4%
Math Symbol 9
 
0.1%
Other Punctuation 8
 
0.1%
Other Number 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 357
 
7.0%
구 211
 
4.1%
입 173
 
3.4%
지 170
 
3.3%
관 141
 
2.7%
복 135
 
2.6%
실 128
 
2.5%
앞 125
 
2.4%
터 122
 
2.4%
로 111
 
2.2%
Other values (282) 3457
67.4%
Uppercase Letter
ValueCountFrequency (%)
A 6
20.7%
T 4
13.8%
C 4
13.8%
B 4
13.8%
M 3
10.3%
K 2
 
6.9%
F 1
 
3.4%
L 1
 
3.4%
X 1
 
3.4%
P 1
 
3.4%
Other values (2) 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 331
80.9%
2 42
 
10.3%
3 14
 
3.4%
4 13
 
3.2%
5 6
 
1.5%
7 2
 
0.5%
8 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 7
77.8%
~ 2
 
22.2%
Other Number
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%
Space Separator
ValueCountFrequency (%)
1224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5130
74.3%
Common 1747
 
25.3%
Latin 29
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 357
 
7.0%
구 211
 
4.1%
입 173
 
3.4%
지 170
 
3.3%
관 141
 
2.7%
복 135
 
2.6%
실 128
 
2.5%
앞 125
 
2.4%
터 122
 
2.4%
로 111
 
2.2%
Other values (282) 3457
67.4%
Common
ValueCountFrequency (%)
1224
70.1%
1 331
 
18.9%
) 47
 
2.7%
( 47
 
2.7%
2 42
 
2.4%
3 14
 
0.8%
4 13
 
0.7%
, 8
 
0.5%
+ 7
 
0.4%
5 6
 
0.3%
Other values (6) 8
 
0.5%
Latin
ValueCountFrequency (%)
A 6
20.7%
T 4
13.8%
C 4
13.8%
B 4
13.8%
M 3
10.3%
K 2
 
6.9%
F 1
 
3.4%
L 1
 
3.4%
X 1
 
3.4%
P 1
 
3.4%
Other values (2) 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5130
74.3%
ASCII 1774
 
25.7%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1224
69.0%
1 331
 
18.7%
) 47
 
2.6%
( 47
 
2.6%
2 42
 
2.4%
3 14
 
0.8%
4 13
 
0.7%
, 8
 
0.5%
+ 7
 
0.4%
A 6
 
0.3%
Other values (16) 35
 
2.0%
Hangul
ValueCountFrequency (%)
층 357
 
7.0%
구 211
 
4.1%
입 173
 
3.4%
지 170
 
3.3%
관 141
 
2.7%
복 135
 
2.6%
실 128
 
2.5%
앞 125
 
2.4%
터 122
 
2.4%
로 111
 
2.2%
Other values (282) 3457
67.4%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%

평일운영시작시각
Date

Distinct14
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 12:00:00
2024-05-10T20:52:24.765741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:52:25.119695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

평일운영종료시각
Categorical

IMBALANCE 

Distinct16
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
18:00
373 
23:59
131 
21:00
 
22
23:00
 
17
00:00
 
14
Other values (11)
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row00:00

Common Values

ValueCountFrequency (%)
18:00 373
61.3%
23:59 131
 
21.5%
21:00 22
 
3.6%
23:00 17
 
2.8%
00:00 14
 
2.3%
22:00 11
 
1.8%
20:00 10
 
1.6%
23:40 7
 
1.2%
23:30 6
 
1.0%
01:00 4
 
0.7%
Other values (6) 13
 
2.1%

Length

2024-05-10T20:52:25.523626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 373
61.3%
23:59 131
 
21.5%
21:00 22
 
3.6%
23:00 17
 
2.8%
00:00 14
 
2.3%
22:00 11
 
1.8%
20:00 10
 
1.6%
23:40 7
 
1.2%
23:30 6
 
1.0%
01:00 4
 
0.7%
Other values (6) 13
 
2.1%

토요일운영시작시각
Date

Distinct12
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 22:00:00
2024-05-10T20:52:25.856611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:52:26.200263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

토요일운영종료시각
Categorical

Distinct22
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
00:00
263 
23:59
165 
18:00
75 
0:00
 
17
23:00
 
14
Other values (17)
74 

Length

Max length5
Median length5
Mean length4.9720395
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row16:00
2nd row16:00
3rd row12:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 263
43.3%
23:59 165
27.1%
18:00 75
 
12.3%
0:00 17
 
2.8%
23:00 14
 
2.3%
20:00 8
 
1.3%
21:00 7
 
1.2%
14:00 7
 
1.2%
13:00 7
 
1.2%
23:40 7
 
1.2%
Other values (12) 38
 
6.2%

Length

2024-05-10T20:52:26.740445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 263
43.3%
23:59 165
27.1%
18:00 75
 
12.3%
0:00 17
 
2.8%
23:00 14
 
2.3%
20:00 8
 
1.3%
21:00 7
 
1.2%
14:00 7
 
1.2%
13:00 7
 
1.2%
23:40 7
 
1.2%
Other values (12) 38
 
6.2%

공휴일운영시작시각
Date

Distinct12
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 20:00:00
2024-05-10T20:52:27.071711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:52:27.423919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

공휴일운영종료시각
Categorical

Distinct15
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
00:00
297 
23:59
189 
18:00
54 
0:00
 
17
23:00
 
14
Other values (10)
37 

Length

Max length5
Median length5
Mean length4.9720395
Min length4

Unique

Unique3 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 297
48.8%
23:59 189
31.1%
18:00 54
 
8.9%
0:00 17
 
2.8%
23:00 14
 
2.3%
23:40 7
 
1.2%
21:00 6
 
1.0%
19:00 6
 
1.0%
23:30 5
 
0.8%
01:00 4
 
0.7%
Other values (5) 9
 
1.5%

Length

2024-05-10T20:52:27.772088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 297
48.8%
23:59 189
31.1%
18:00 54
 
8.9%
0:00 17
 
2.8%
23:00 14
 
2.3%
23:40 7
 
1.2%
21:00 6
 
1.0%
19:00 6
 
1.0%
23:30 5
 
0.8%
01:00 4
 
0.7%
Other values (5) 9
 
1.5%

동시사용가능대수
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2
372 
1
215 
0
 
14
4
 
6
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 372
61.2%
1 215
35.4%
0 14
 
2.3%
4 6
 
1.0%
3 1
 
0.2%

Length

2024-05-10T20:52:28.073939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:52:28.457134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 372
61.2%
1 215
35.4%
0 14
 
2.3%
4 6
 
1.0%
3 1
 
0.2%

공기주입가능여부
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
True
319 
False
289 
ValueCountFrequency (%)
True 319
52.5%
False 289
47.5%
2024-05-10T20:52:28.781336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴대전화충전가능여부
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
True
349 
False
259 
ValueCountFrequency (%)
True 349
57.4%
False 259
42.6%
2024-05-10T20:52:29.072343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Text

Distinct327
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-10T20:52:29.433939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length10.567434
Min length3

Characters and Unicode

Total characters6425
Distinct characters256
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)47.5%

Sample

1st row아름채노인복지관
2nd row사랑채노인복지관
3rd row희망나래장애인복지관
4th row지체장애인
5th row청계종합사회복지관
ValueCountFrequency (%)
경기도 402
31.4%
용인시청 39
 
3.0%
시흥시 31
 
2.4%
수원시 29
 
2.3%
구리시청 21
 
1.6%
고양시청 20
 
1.6%
오산시청 20
 
1.6%
김포시 18
 
1.4%
주민복지과 16
 
1.3%
여주시 16
 
1.3%
Other values (354) 667
52.2%
2024-05-10T20:52:30.431531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
672
 
10.5%
시 445
 
6.9%
도 434
 
6.8%
기 410
 
6.4%
경 409
 
6.4%
청 246
 
3.8%
지 212
 
3.3%
복 184
 
2.9%
인 129
 
2.0%
터 119
 
1.9%
Other values (246) 3165
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5676
88.3%
Space Separator 672
 
10.5%
Decimal Number 33
 
0.5%
Other Symbol 13
 
0.2%
Close Punctuation 11
 
0.2%
Uppercase Letter 11
 
0.2%
Open Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 445
 
7.8%
도 434
 
7.6%
기 410
 
7.2%
경 409
 
7.2%
청 246
 
4.3%
지 212
 
3.7%
복 184
 
3.2%
인 129
 
2.3%
터 119
 
2.1%
센 118
 
2.1%
Other values (230) 2970
52.3%
Decimal Number
ValueCountFrequency (%)
1 13
39.4%
2 13
39.4%
3 4
 
12.1%
5 1
 
3.0%
7 1
 
3.0%
4 1
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
27.3%
L 3
27.3%
K 2
18.2%
S 1
 
9.1%
X 1
 
9.1%
T 1
 
9.1%
Space Separator
ValueCountFrequency (%)
672
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5689
88.5%
Common 725
 
11.3%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 445
 
7.8%
도 434
 
7.6%
기 410
 
7.2%
경 409
 
7.2%
청 246
 
4.3%
지 212
 
3.7%
복 184
 
3.2%
인 129
 
2.3%
터 119
 
2.1%
센 118
 
2.1%
Other values (231) 2983
52.4%
Common
ValueCountFrequency (%)
672
92.7%
1 13
 
1.8%
2 13
 
1.8%
) 11
 
1.5%
( 9
 
1.2%
3 4
 
0.6%
5 1
 
0.1%
7 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
I 3
27.3%
L 3
27.3%
K 2
18.2%
S 1
 
9.1%
X 1
 
9.1%
T 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5676
88.3%
ASCII 736
 
11.5%
None 13
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
91.3%
1 13
 
1.8%
2 13
 
1.8%
) 11
 
1.5%
( 9
 
1.2%
3 4
 
0.5%
I 3
 
0.4%
L 3
 
0.4%
K 2
 
0.3%
5 1
 
0.1%
Other values (5) 5
 
0.7%
Hangul
ValueCountFrequency (%)
시 445
 
7.8%
도 434
 
7.6%
기 410
 
7.2%
경 409
 
7.2%
청 246
 
4.3%
지 212
 
3.7%
복 184
 
3.2%
인 129
 
2.3%
터 119
 
2.1%
센 118
 
2.1%
Other values (230) 2970
52.3%
None
ValueCountFrequency (%)
㈜ 13
100.0%

관리기관전화번호
Text

Distinct328
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-05-10T20:52:30.965420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.120066
Min length9

Characters and Unicode

Total characters7369
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)47.2%

Sample

1st row031-427-0580
2nd row031-425-3676
3rd row031-467-7300
4th row031-456-6112
5th row031-345-2186
ValueCountFrequency (%)
031-324-3151 39
 
6.4%
031-550-8964 21
 
3.5%
031-8075-3294 20
 
3.3%
031-8036-7459 20
 
3.3%
070-4236-4587 17
 
2.8%
031-860-2261 16
 
2.6%
031-770-2297 15
 
2.5%
031-790-5727 14
 
2.3%
031-445-0900 13
 
2.1%
031-455-1313 13
 
2.1%
Other values (318) 420
69.1%
2024-05-10T20:52:32.073421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1211
16.4%
- 1209
16.4%
3 962
13.1%
1 901
12.2%
2 602
8.2%
7 501
6.8%
8 493
6.7%
5 449
 
6.1%
4 426
 
5.8%
6 322
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6160
83.6%
Dash Punctuation 1209
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1211
19.7%
3 962
15.6%
1 901
14.6%
2 602
9.8%
7 501
8.1%
8 493
8.0%
5 449
 
7.3%
4 426
 
6.9%
6 322
 
5.2%
9 293
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 1209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7369
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1211
16.4%
- 1209
16.4%
3 962
13.1%
1 901
12.2%
2 602
8.2%
7 501
6.8%
8 493
6.7%
5 449
 
6.1%
4 426
 
5.8%
6 322
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1211
16.4%
- 1209
16.4%
3 962
13.1%
1 901
12.2%
2 602
8.2%
7 501
6.8%
8 493
6.7%
5 449
 
6.1%
4 426
 
5.8%
6 322
 
4.4%

데이터기준일자
Date

Distinct26
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2023-06-05 00:00:00
Maximum2024-01-10 00:00:00
2024-05-10T20:52:32.440642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:52:32.819562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

Sample

시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
0아름채노인복지관경기도의왕시41430경기도 의왕시 문화공원로 47경기도 의왕시 고천동 100번지37.342775126.972502아름채노인복지관 1층 강당입구 앞09:0018:0009:0016:0000:0000:002NY아름채노인복지관031-427-05802023-12-02
1사랑채노인복지과경기도의왕시41430경기도 의왕시 복지로 109경기도 의왕시 내손동 849-2번지37.387528126.981611사랑채노인복지관 1층 로비 자판기 앞09:0018:0009:0016:0000:0000:002NY사랑채노인복지관031-425-36762023-12-02
2희망나래장애인복지관경기도의왕시41430경기도 의왕시 오전로 27경기도 의왕시 고천동 497-1번지37.348665126.981145희망나래장애인복지관 1층 안내데스크 옆09:0018:0009:0012:0000:0000:002NY희망나래장애인복지관031-467-73002023-12-02
3장애인재활자립작업장경기도의왕시41430경기도 의왕시 고산로 25경기도 의왕시 고천동 439-212번지37.351867126.96861장애인재활자립장 1층 출입문 앞09:0018:0009:0000:0000:0000:001YN지체장애인031-456-61122023-12-02
4청계종합사회복지관경기도의왕시41430경기도 의왕시 덕장로 19경기도 의왕시 청계동 983번지37.391347126.995075청계종합사회복지관 1층 로비09:0000:0009:0000:0000:0000:002YY청계종합사회복지관031-345-21862023-12-02
5부곡동주민센터경기도의왕시41430경기도 의왕시 부곡시장길 75경기도 의왕시 삼동 101번지37.318739126.956756부곡동주민센터 지하주차장09:0000:0009:0000:0000:0000:002YY청계동주민센터031-345-31432023-12-02
6의왕시청경기도의왕시41430경기도 의왕시 시청로 11경기도 의왕시 고천동 171번지37.345318126.967989의왕시청 민원실09:0018:0000:0000:0000:0000:002YY의왕시 노인장애인과031-345-24272023-12-02
7SRC스포츠센터경기도광주시41610경기도 광주시 초월읍 경수길 25경기도 광주시 초월읍 지월리 729-5번지37.419489127.28708스포츠센터 입구08:0021:0008:0021:0008:0021:002YY경기도 광주시청031-760-37442023-11-22
8광주시청경기도광주시41610경기도 광주시 행정타운로 50경기도 광주시 송정동 570번지37.429286127.2550712층 노인장애인과 앞09:0018:0000:0023:5900:0023:592NY경기도 광주시청031-760-37442023-11-22
9설봉공원 안내소경기도이천시41500경기도 이천시 경충대로2709번길128경기도 이천시 관고동 35637.279457127.427555종합관광안내소 내부08:0020:0000:0000:0000:0000:002YY이천시장애인연합회031-635-11192023-10-19
시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자
598양주문화예술회관경기도양주시41630경기도 양주시 광적면 부흥로 618번길 303경기도 양주시 광적면 광석리 13237.8125126.9723081층 체육관 앞09:0022:0009:0022:0009:0018:002YY경기도 양주도시공사031-828-97172023-06-21
599광적면행정복지센터경기도양주시41630경기도 양주시 광적면 가래비길 93경기도 양주시 광적면 가납리 848-237.824593126.98363광적면행정복지센터 주민자치센터 앞09:0018:0009:0018:0009:0018:002NY경기도 양주시 광적면행정복지센터031-8082-76112023-06-21
600의정부역경기도의정부시41150경기도 의정부시 평화로 525경기도 의정부시 의정부동 168-54번지37.73799127.045879역사 내 3층 동부화장실 옆05:0023:5905:0023:5905:0023:592YN의정부역031-872-77882023-08-30
601의정부경전철 경기도청북부청사역경기도의정부시41150경기도 의정부시 장곡로 615경기도 의정부시 신곡동 815-2번지37.750707127.071551의정부경전철 경기도청북부청사역 2층05:0023:5905:0023:5905:0023:592YN우진메트로(의정부경전철)031-820-10002023-08-30
602수리장애인종합복지관경기도안양시41170경기도 안양시 만안구 냉천로 39경기도 안양시 만안구 안양동 477-137.384941126.9270042층 강당 앞 복도09:0018:0000:0023:5900:0023:592NY온누리 부흥센터031-455-13132023-06-06
603하남종합운동장경기도하남시11680경기도 하남시 아리수로 600경기도 하남시 망월동 20037.5657127.193906제1체육관 2층 출입문 옆06:0022:0009:0018:0009:0018:001NY경기도 하남시031-790-57272023-07-17
604동두천시자립생활지원센터경기도동두천시41250경기도 동두천시 어수로 5경기도 동두천시 상패동 8237.906046127.044451동두천자립생활센터 출입구 앞00:0023:5900:0023:5900:0023:591YN경기도 동두천시청 사회복지과031-860-22612023-08-25
605동두천시불현동행정복지센터경기도동두천시41250경기도 동두천시 행선로 123경기도 동두천시 생연동 34837.898513127.062438불현동행정복지센터 1층 민원실09:0018:0000:0000:0000:0000:001YN경기도 동두천시청 사회복지과031-860-22612023-08-25
606동두천시 교통장애인협회경기도동두천시41250경기도 동두천시 평화로 2169번길 13경기도 동두천시 송내동 54437.880875127.054461교통장애인협회 사무실 안07:0018:0007:0018:0007:0018:001YN경기도 동두천시청 사회복지과031-860-22612023-08-25
607반다비체육센터경기도동두천시41250경기도 동두천시 상패로 56-31경기도 동두천시 상패동 55-437.906544127.047709반다비체육센터 2층 벽면09:0018:0000:0000:0000:0000:001YY경기도 동두천시청 사회복지과031-860-22612023-08-25