Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells7444
Missing cells (%)3.2%
Duplicate rows108
Duplicate rows (%)1.1%
Total size in memory1.9 MiB
Average record size in memory195.0 B

Variable types

Text11
Categorical8
Numeric3
DateTime1

Dataset

Description- wifi 여부, 애완동물 출입 여부, 주차장 여부 등 상세정보를 포함한 전국 여가 시설(레저 및 체육 시설/공원) 데이터 입니다. - 컬럼 "최종작성일" 기준으로 구축되었기 때문에, 조회 시점 별로 정보가 상이할 수 있습니다.
Author한국문화정보원
URLhttps://www.data.go.kr/data/15111393/fileData.do

Alerts

카테고리1 has constant value ""Constant
최종작성일 has constant value ""Constant
Dataset has 108 (1.1%) duplicate rowsDuplicates
애완동물 출입 여부 is highly imbalanced (72.9%)Imbalance
리 명칭 has 7417 (74.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:46:02.765488
Analysis finished2023-12-12 20:46:05.788074
Duration3.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct7892
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:05.978639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length8.3784
Min length2

Characters and Unicode

Total characters83784
Distinct characters827
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

Unique6087 ?
Unique (%)60.9%

Sample

1st row뒷방울낚시터
2nd row엘볼링장
3rd row골프존카운티 드래곤
4th row세인스크린골프
5th row히어로골프아카데미
ValueCountFrequency (%)
테니스장 416
 
3.1%
농구장 375
 
2.8%
배드민턴장 98
 
0.7%
리얼야구존 81
 
0.6%
풋살장 79
 
0.6%
프렌즈스크린 78
 
0.6%
스트라이크존 73
 
0.5%
골프연습장 60
 
0.4%
스크린골프 57
 
0.4%
인라인스케이트장 39
 
0.3%
Other values (8436) 12216
90.0%
2023-12-13T05:46:06.351304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 4328
 
5.2%
프 3603
 
4.3%
3572
 
4.3%
장 3386
 
4.0%
골 3272
 
3.9%
구 2328
 
2.8%
크 2238
 
2.7%
린 2024
 
2.4%
이 1632
 
1.9%
클 1357
 
1.6%
Other values (817) 56044
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77195
92.1%
Space Separator 3572
 
4.3%
Uppercase Letter 2322
 
2.8%
Decimal Number 462
 
0.6%
Lowercase Letter 112
 
0.1%
Other Punctuation 88
 
0.1%
Close Punctuation 14
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 4328
 
5.6%
프 3603
 
4.7%
장 3386
 
4.4%
골 3272
 
4.2%
구 2328
 
3.0%
크 2238
 
2.9%
린 2024
 
2.6%
이 1632
 
2.1%
클 1357
 
1.8%
탁 1200
 
1.6%
Other values (749) 51827
67.1%
Uppercase Letter
ValueCountFrequency (%)
C 375
16.1%
G 314
13.5%
S 239
10.3%
R 200
 
8.6%
K 126
 
5.4%
D 126
 
5.4%
V 120
 
5.2%
J 95
 
4.1%
M 82
 
3.5%
T 82
 
3.5%
Other values (16) 563
24.2%
Lowercase Letter
ValueCountFrequency (%)
s 14
12.5%
n 12
 
10.7%
k 9
 
8.0%
g 8
 
7.1%
i 7
 
6.2%
c 7
 
6.2%
b 6
 
5.4%
e 6
 
5.4%
o 6
 
5.4%
t 6
 
5.4%
Other values (13) 31
27.7%
Decimal Number
ValueCountFrequency (%)
2 132
28.6%
1 104
22.5%
3 64
13.9%
8 28
 
6.1%
4 27
 
5.8%
0 27
 
5.8%
9 25
 
5.4%
7 21
 
4.5%
5 20
 
4.3%
6 14
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 75
85.2%
. 9
 
10.2%
, 2
 
2.3%
% 1
 
1.1%
" 1
 
1.1%
Space Separator
ValueCountFrequency (%)
3572
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77195
92.1%
Common 4155
 
5.0%
Latin 2434
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 4328
 
5.6%
프 3603
 
4.7%
장 3386
 
4.4%
골 3272
 
4.2%
구 2328
 
3.0%
크 2238
 
2.9%
린 2024
 
2.6%
이 1632
 
2.1%
클 1357
 
1.8%
탁 1200
 
1.6%
Other values (749) 51827
67.1%
Latin
ValueCountFrequency (%)
C 375
15.4%
G 314
12.9%
S 239
 
9.8%
R 200
 
8.2%
K 126
 
5.2%
D 126
 
5.2%
V 120
 
4.9%
J 95
 
3.9%
M 82
 
3.4%
T 82
 
3.4%
Other values (39) 675
27.7%
Common
ValueCountFrequency (%)
3572
86.0%
2 132
 
3.2%
1 104
 
2.5%
& 75
 
1.8%
3 64
 
1.5%
8 28
 
0.7%
4 27
 
0.6%
0 27
 
0.6%
9 25
 
0.6%
7 21
 
0.5%
Other values (9) 80
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77195
92.1%
ASCII 6589
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 4328
 
5.6%
프 3603
 
4.7%
장 3386
 
4.4%
골 3272
 
4.2%
구 2328
 
3.0%
크 2238
 
2.9%
린 2024
 
2.6%
이 1632
 
2.1%
클 1357
 
1.8%
탁 1200
 
1.6%
Other values (749) 51827
67.1%
ASCII
ValueCountFrequency (%)
3572
54.2%
C 375
 
5.7%
G 314
 
4.8%
S 239
 
3.6%
R 200
 
3.0%
2 132
 
2.0%
K 126
 
1.9%
D 126
 
1.9%
V 120
 
1.8%
1 104
 
1.6%
Other values (58) 1281
 
19.4%

카테고리1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
레저/체육/공원
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row레저/체육/공원
2nd row레저/체육/공원
3rd row레저/체육/공원
4th row레저/체육/공원
5th row레저/체육/공원

Common Values

ValueCountFrequency (%)
레저/체육/공원 10000
100.0%

Length

2023-12-13T05:46:06.459878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:06.529211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
레저/체육/공원 10000
100.0%

카테고리2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지역레저시설
4513 
지역체육시설
4512 
대형레저시설
590 
액티비티
 
385

Length

Max length6
Median length6
Mean length5.923
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지역레저시설
2nd row지역체육시설
3rd row대형레저시설
4th row지역레저시설
5th row지역레저시설

Common Values

ValueCountFrequency (%)
지역레저시설 4513
45.1%
지역체육시설 4512
45.1%
대형레저시설 590
 
5.9%
액티비티 385
 
3.9%

Length

2023-12-13T05:46:06.618172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:06.707841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역레저시설 4513
45.1%
지역체육시설 4512
45.1%
대형레저시설 590
 
5.9%
액티비티 385
 
3.9%

카테고리3
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
스크린골프
2858 
탁구장
1233 
테니스장
929 
낚시터
763 
볼링장
502 
Other values (21)
3715 

Length

Max length7
Median length6
Mean length4.0902
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row낚시터
2nd row볼링장
3rd row골프장
4th row스크린골프
5th row스크린골프

Common Values

ValueCountFrequency (%)
스크린골프 2858
28.6%
탁구장 1233
12.3%
테니스장 929
 
9.3%
낚시터 763
 
7.6%
볼링장 502
 
5.0%
풋살장 486
 
4.9%
농구장 453
 
4.5%
야구연습장 430
 
4.3%
클라이밍 304
 
3.0%
골프장 290
 
2.9%
Other values (16) 1752
17.5%

Length

2023-12-13T05:46:06.804344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
스크린골프 2858
28.6%
탁구장 1233
12.3%
테니스장 929
 
9.3%
낚시터 763
 
7.6%
볼링장 502
 
5.0%
풋살장 486
 
4.9%
농구장 453
 
4.5%
야구연습장 430
 
4.3%
클라이밍 304
 
3.0%
골프장 290
 
2.9%
Other values (16) 1752
17.5%

시도 명칭
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
2845 
서울특별시
1396 
경상북도
832 
경상남도
818 
강원도
649 
Other values (12)
3460 

Length

Max length7
Median length5
Mean length4.0428
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 2845
28.4%
서울특별시 1396
14.0%
경상북도 832
 
8.3%
경상남도 818
 
8.2%
강원도 649
 
6.5%
부산광역시 599
 
6.0%
대구광역시 535
 
5.3%
대전광역시 331
 
3.3%
광주광역시 315
 
3.1%
충청남도 314
 
3.1%
Other values (7) 1366
13.7%

Length

2023-12-13T05:46:06.929941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2845
28.4%
서울특별시 1396
14.0%
경상북도 832
 
8.3%
경상남도 818
 
8.2%
강원도 649
 
6.5%
부산광역시 599
 
6.0%
대구광역시 535
 
5.3%
대전광역시 331
 
3.3%
광주광역시 315
 
3.1%
충청남도 314
 
3.1%
Other values (7) 1366
13.7%

시군구 명칭
Text

Distinct225
Distinct (%)2.3%
Missing27
Missing (%)0.3%
Memory size156.2 KiB
2023-12-13T05:46:07.276919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.6185701
Min length2

Characters and Unicode

Total characters36088
Distinct characters140
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

Unique0 ?
Unique (%)0.0%

Sample

1st row시흥시
2nd row김포시
3rd row남원시
4th row포천시
5th row서초구
ValueCountFrequency (%)
북구 299
 
2.6%
서구 273
 
2.4%
고양시 233
 
2.0%
남구 214
 
1.8%
창원시 193
 
1.7%
용인시 180
 
1.6%
수원시 170
 
1.5%
동구 170
 
1.5%
중구 163
 
1.4%
구미시 162
 
1.4%
Other values (224) 9529
82.2%
2023-12-13T05:46:07.734540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5407
 
15.0%
구 5363
 
14.9%
1613
 
4.5%
군 1318
 
3.7%
주 1258
 
3.5%
산 1051
 
2.9%
양 1018
 
2.8%
성 979
 
2.7%
천 878
 
2.4%
원 868
 
2.4%
Other values (130) 16335
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34475
95.5%
Space Separator 1613
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5407
 
15.7%
구 5363
 
15.6%
군 1318
 
3.8%
주 1258
 
3.6%
산 1051
 
3.0%
양 1018
 
3.0%
성 979
 
2.8%
천 878
 
2.5%
원 868
 
2.5%
남 840
 
2.4%
Other values (129) 15495
44.9%
Space Separator
ValueCountFrequency (%)
1613
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34475
95.5%
Common 1613
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5407
 
15.7%
구 5363
 
15.6%
군 1318
 
3.8%
주 1258
 
3.6%
산 1051
 
3.0%
양 1018
 
3.0%
성 979
 
2.8%
천 878
 
2.5%
원 868
 
2.5%
남 840
 
2.4%
Other values (129) 15495
44.9%
Common
ValueCountFrequency (%)
1613
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34475
95.5%
ASCII 1613
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5407
 
15.7%
구 5363
 
15.6%
군 1318
 
3.8%
주 1258
 
3.6%
산 1051
 
3.0%
양 1018
 
3.0%
성 979
 
2.8%
천 878
 
2.5%
원 868
 
2.5%
남 840
 
2.4%
Other values (129) 15495
44.9%
ASCII
ValueCountFrequency (%)
1613
100.0%

법정읍면동명칭
Text

Distinct2046
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:08.091681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0182
Min length2

Characters and Unicode

Total characters30182
Distinct characters316
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

Unique567 ?
Unique (%)5.7%

Sample

1st row정왕동
2nd row고촌읍
3rd row대산면
4th row소흘읍
5th row서초동
ValueCountFrequency (%)
중동 76
 
0.8%
고잔동 54
 
0.5%
상동 47
 
0.5%
역삼동 44
 
0.4%
상계동 44
 
0.4%
서교동 41
 
0.4%
관양동 41
 
0.4%
화정동 39
 
0.4%
구로동 39
 
0.4%
서초동 38
 
0.4%
Other values (2036) 9537
95.4%
2023-12-13T05:46:08.675474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 7684
25.5%
읍 1341
 
4.4%
면 1288
 
4.3%
산 656
 
2.2%
가 482
 
1.6%
천 408
 
1.4%
정 407
 
1.3%
양 398
 
1.3%
곡 389
 
1.3%
성 384
 
1.3%
Other values (306) 16745
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29921
99.1%
Decimal Number 261
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7684
25.7%
읍 1341
 
4.5%
면 1288
 
4.3%
산 656
 
2.2%
가 482
 
1.6%
천 408
 
1.4%
정 407
 
1.4%
양 398
 
1.3%
곡 389
 
1.3%
성 384
 
1.3%
Other values (298) 16484
55.1%
Decimal Number
ValueCountFrequency (%)
1 89
34.1%
2 87
33.3%
3 34
 
13.0%
4 26
 
10.0%
5 10
 
3.8%
7 7
 
2.7%
6 7
 
2.7%
8 1
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29921
99.1%
Common 261
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7684
25.7%
읍 1341
 
4.5%
면 1288
 
4.3%
산 656
 
2.2%
가 482
 
1.6%
천 408
 
1.4%
정 407
 
1.4%
양 398
 
1.3%
곡 389
 
1.3%
성 384
 
1.3%
Other values (298) 16484
55.1%
Common
ValueCountFrequency (%)
1 89
34.1%
2 87
33.3%
3 34
 
13.0%
4 26
 
10.0%
5 10
 
3.8%
7 7
 
2.7%
6 7
 
2.7%
8 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29921
99.1%
ASCII 261
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 7684
25.7%
읍 1341
 
4.5%
면 1288
 
4.3%
산 656
 
2.2%
가 482
 
1.6%
천 408
 
1.4%
정 407
 
1.4%
양 398
 
1.3%
곡 389
 
1.3%
성 384
 
1.3%
Other values (298) 16484
55.1%
ASCII
ValueCountFrequency (%)
1 89
34.1%
2 87
33.3%
3 34
 
13.0%
4 26
 
10.0%
5 10
 
3.8%
7 7
 
2.7%
6 7
 
2.7%
8 1
 
0.4%

리 명칭
Text

MISSING 

Distinct1199
Distinct (%)46.4%
Missing7417
Missing (%)74.2%
Memory size156.2 KiB
2023-12-13T05:46:09.024050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9686411
Min length2

Characters and Unicode

Total characters7668
Distinct characters269
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

Unique614 ?
Unique (%)23.8%

Sample

1st row신곡리
2nd row옥율리
3rd row송우리
4th row만정리
5th row양곡리
ValueCountFrequency (%)
중리 28
 
1.1%
읍내리 21
 
0.8%
군탄리 17
 
0.7%
삼옥리 15
 
0.6%
월향리 14
 
0.5%
상리 13
 
0.5%
죽림리 13
 
0.5%
금남리 12
 
0.5%
가촌리 12
 
0.5%
금락리 12
 
0.5%
Other values (1189) 2426
93.9%
2023-12-13T05:46:09.590385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 2595
33.8%
산 176
 
2.3%
곡 147
 
1.9%
동 127
 
1.7%
천 117
 
1.5%
신 105
 
1.4%
대 104
 
1.4%
남 98
 
1.3%
성 94
 
1.2%
암 88
 
1.1%
Other values (259) 4017
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7665
> 99.9%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2595
33.9%
산 176
 
2.3%
곡 147
 
1.9%
동 127
 
1.7%
천 117
 
1.5%
신 105
 
1.4%
대 104
 
1.4%
남 98
 
1.3%
성 94
 
1.2%
암 88
 
1.1%
Other values (257) 4014
52.4%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7665
> 99.9%
Common 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 2595
33.9%
산 176
 
2.3%
곡 147
 
1.9%
동 127
 
1.7%
천 117
 
1.5%
신 105
 
1.4%
대 104
 
1.4%
남 98
 
1.3%
성 94
 
1.2%
암 88
 
1.1%
Other values (257) 4014
52.4%
Common
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7665
> 99.9%
ASCII 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 2595
33.9%
산 176
 
2.3%
곡 147
 
1.9%
동 127
 
1.7%
천 117
 
1.5%
신 105
 
1.4%
대 104
 
1.4%
남 98
 
1.3%
성 94
 
1.2%
암 88
 
1.1%
Other values (257) 4014
52.4%
ASCII
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%

번지
Text

Distinct6180
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:10.095498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.6259
Min length4

Characters and Unicode

Total characters76259
Distinct characters14
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

Unique3859 ?
Unique (%)38.6%

Sample

1st row21 번지
2nd row1063-8 번지
3rd row883-1 번지
4th row73-11 번지
5th row1439-1 번지
ValueCountFrequency (%)
번지 10000
50.0%
1 34
 
0.2%
1-1 11
 
0.1%
2-1 10
 
< 0.1%
105-1 10
 
< 0.1%
63 9
 
< 0.1%
107 9
 
< 0.1%
100 9
 
< 0.1%
159 8
 
< 0.1%
237 8
 
< 0.1%
Other values (6171) 9892
49.5%
2023-12-13T05:46:10.740017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
13.1%
번 10000
13.1%
지 10000
13.1%
1 8076
10.6%
- 7233
9.5%
2 4845
6.4%
3 4179
 
5.5%
4 3701
 
4.9%
5 3554
 
4.7%
6 3362
 
4.4%
Other values (4) 11309
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39026
51.2%
Other Letter 20000
26.2%
Space Separator 10000
 
13.1%
Dash Punctuation 7233
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8076
20.7%
2 4845
12.4%
3 4179
10.7%
4 3701
9.5%
5 3554
9.1%
6 3362
8.6%
7 3152
 
8.1%
8 2799
 
7.2%
0 2737
 
7.0%
9 2621
 
6.7%
Other Letter
ValueCountFrequency (%)
번 10000
50.0%
지 10000
50.0%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56259
73.8%
Hangul 20000
 
26.2%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
17.8%
1 8076
14.4%
- 7233
12.9%
2 4845
8.6%
3 4179
7.4%
4 3701
 
6.6%
5 3554
 
6.3%
6 3362
 
6.0%
7 3152
 
5.6%
8 2799
 
5.0%
Other values (2) 5358
9.5%
Hangul
ValueCountFrequency (%)
번 10000
50.0%
지 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56259
73.8%
Hangul 20000
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
17.8%
1 8076
14.4%
- 7233
12.9%
2 4845
8.6%
3 4179
7.4%
4 3701
 
6.6%
5 3554
 
6.3%
6 3362
 
6.0%
7 3152
 
5.6%
8 2799
 
5.0%
Other values (2) 5358
9.5%
Hangul
ValueCountFrequency (%)
번 10000
50.0%
지 10000
50.0%

도로명 이름
Text

Distinct5422
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:11.118550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.684
Min length2

Characters and Unicode

Total characters46840
Distinct characters524
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3360 ?
Unique (%)33.6%

Sample

1st row뒷방울길
2nd row장차로5번길
3rd row대사로
4th row솔모루로
5th row남부순환로339길
ValueCountFrequency (%)
중앙로 77
 
0.8%
호국로 41
 
0.4%
대학로 36
 
0.4%
중앙대로 32
 
0.3%
달구벌대로 23
 
0.2%
남부순환로 22
 
0.2%
번영로 21
 
0.2%
평화로 21
 
0.2%
경수대로 21
 
0.2%
도봉로 18
 
0.2%
Other values (5412) 9688
96.9%
2023-12-13T05:46:11.619103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 8535
 
18.2%
길 4102
 
8.8%
번 1693
 
3.6%
1 1493
 
3.2%
대 1462
 
3.1%
2 1059
 
2.3%
동 794
 
1.7%
3 756
 
1.6%
산 672
 
1.4%
4 627
 
1.3%
Other values (514) 25647
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39850
85.1%
Decimal Number 6978
 
14.9%
Uppercase Letter 8
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 8535
21.4%
길 4102
 
10.3%
번 1693
 
4.2%
대 1462
 
3.7%
동 794
 
2.0%
산 672
 
1.7%
중 493
 
1.2%
천 425
 
1.1%
남 397
 
1.0%
서 390
 
1.0%
Other values (498) 20887
52.4%
Decimal Number
ValueCountFrequency (%)
1 1493
21.4%
2 1059
15.2%
3 756
10.8%
4 627
9.0%
5 572
 
8.2%
6 570
 
8.2%
7 511
 
7.3%
8 500
 
7.2%
0 478
 
6.9%
9 412
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
P 2
25.0%
E 2
25.0%
Other Punctuation
ValueCountFrequency (%)
· 3
75.0%
. 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39850
85.1%
Common 6982
 
14.9%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 8535
21.4%
길 4102
 
10.3%
번 1693
 
4.2%
대 1462
 
3.7%
동 794
 
2.0%
산 672
 
1.7%
중 493
 
1.2%
천 425
 
1.1%
남 397
 
1.0%
서 390
 
1.0%
Other values (498) 20887
52.4%
Common
ValueCountFrequency (%)
1 1493
21.4%
2 1059
15.2%
3 756
10.8%
4 627
9.0%
5 572
 
8.2%
6 570
 
8.2%
7 511
 
7.3%
8 500
 
7.2%
0 478
 
6.8%
9 412
 
5.9%
Other values (2) 4
 
0.1%
Latin
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
P 2
25.0%
E 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39850
85.1%
ASCII 6987
 
14.9%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 8535
21.4%
길 4102
 
10.3%
번 1693
 
4.2%
대 1462
 
3.7%
동 794
 
2.0%
산 672
 
1.7%
중 493
 
1.2%
천 425
 
1.1%
남 397
 
1.0%
서 390
 
1.0%
Other values (498) 20887
52.4%
ASCII
ValueCountFrequency (%)
1 1493
21.4%
2 1059
15.2%
3 756
10.8%
4 627
9.0%
5 572
 
8.2%
6 570
 
8.2%
7 511
 
7.3%
8 500
 
7.2%
0 478
 
6.8%
9 412
 
5.9%
Other values (5) 9
 
0.1%
None
ValueCountFrequency (%)
· 3
100.0%

건물 번호
Text

Distinct2495
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:12.134035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.8896
Min length3

Characters and Unicode

Total characters48896
Distinct characters13
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

Unique1443 ?
Unique (%)14.4%

Sample

1st row147 번
2nd row10 번
3rd row500 번
4th row179 번
5th row72 번
ValueCountFrequency (%)
번 10000
50.0%
10 118
 
0.6%
7 109
 
0.5%
11 101
 
0.5%
12 96
 
0.5%
6 92
 
0.5%
15 87
 
0.4%
19 84
 
0.4%
16 83
 
0.4%
8 83
 
0.4%
Other values (2486) 9147
45.7%
2023-12-13T05:46:12.954996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
20.5%
번 10000
20.5%
1 5449
11.1%
2 3649
 
7.5%
3 2901
 
5.9%
4 2513
 
5.1%
5 2409
 
4.9%
6 2284
 
4.7%
7 2138
 
4.4%
0 2016
 
4.1%
Other values (3) 5537
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27031
55.3%
Space Separator 10000
 
20.5%
Other Letter 10000
 
20.5%
Dash Punctuation 1865
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5449
20.2%
2 3649
13.5%
3 2901
10.7%
4 2513
9.3%
5 2409
8.9%
6 2284
8.4%
7 2138
 
7.9%
0 2016
 
7.5%
8 1862
 
6.9%
9 1810
 
6.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Letter
ValueCountFrequency (%)
번 10000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1865
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38896
79.5%
Hangul 10000
 
20.5%

Most frequent character per script

Common
ValueCountFrequency (%)
10000
25.7%
1 5449
14.0%
2 3649
 
9.4%
3 2901
 
7.5%
4 2513
 
6.5%
5 2409
 
6.2%
6 2284
 
5.9%
7 2138
 
5.5%
0 2016
 
5.2%
- 1865
 
4.8%
Other values (2) 3672
 
9.4%
Hangul
ValueCountFrequency (%)
번 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38896
79.5%
Hangul 10000
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
25.7%
1 5449
14.0%
2 3649
 
9.4%
3 2901
 
7.5%
4 2513
 
6.5%
5 2409
 
6.2%
6 2284
 
5.9%
7 2138
 
5.5%
0 2016
 
5.2%
- 1865
 
4.8%
Other values (2) 3672
 
9.4%
Hangul
ValueCountFrequency (%)
번 10000
100.0%

위도
Real number (ℝ)

Distinct8326
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.639326
Minimum33.243473
Maximum38.380311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:46:13.135233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.243473
5-th percentile35.073381
Q135.821342
median37.11887
Q337.510622
95-th percentile37.783088
Maximum38.380311
Range5.1368382
Interquartile range (IQR)1.6892794

Descriptive statistics

Standard deviation1.0264988
Coefficient of variation (CV)0.028016312
Kurtosis-0.80068026
Mean36.639326
Median Absolute Deviation (MAD)0.56736067
Skewness-0.59043953
Sum366393.26
Variance1.0536997
MonotonicityNot monotonic
2023-12-13T05:46:13.323847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.30980389 2
 
< 0.1%
35.81331244 2
 
< 0.1%
37.19809198 2
 
< 0.1%
37.19624041 2
 
< 0.1%
37.77389073 2
 
< 0.1%
35.78205482 2
 
< 0.1%
36.99964218 2
 
< 0.1%
35.2372565 2
 
< 0.1%
35.23754074 2
 
< 0.1%
37.1233228 2
 
< 0.1%
Other values (8316) 9980
99.8%
ValueCountFrequency (%)
33.24347254 1
< 0.1%
33.24432528 1
< 0.1%
33.24695039 1
< 0.1%
33.24721714 1
< 0.1%
33.24849547 1
< 0.1%
33.24919837 1
< 0.1%
33.24942409 1
< 0.1%
33.25101026 1
< 0.1%
33.25273415 1
< 0.1%
33.25276871 1
< 0.1%
ValueCountFrequency (%)
38.38031069 1
< 0.1%
38.37835196 1
< 0.1%
38.37632274 1
< 0.1%
38.32411502 1
< 0.1%
38.31708974 1
< 0.1%
38.27707306 1
< 0.1%
38.26863146 2
< 0.1%
38.26486685 1
< 0.1%
38.25153391 2
< 0.1%
38.25004267 1
< 0.1%

경도
Real number (ℝ)

Distinct8324
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.61571
Minimum126.13477
Maximum130.93715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:46:13.505353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.13477
5-th percentile126.69287
Q1126.9487
median127.20447
Q3128.46059
95-th percentile129.12472
Maximum130.93715
Range4.8023763
Interquartile range (IQR)1.5118931

Descriptive statistics

Standard deviation0.84709915
Coefficient of variation (CV)0.0066378907
Kurtosis-0.91550023
Mean127.61571
Median Absolute Deviation (MAD)0.3898839
Skewness0.68966543
Sum1276157.1
Variance0.71757697
MonotonicityNot monotonic
2023-12-13T05:46:13.679819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.04968 2
 
< 0.1%
126.8679745 2
 
< 0.1%
127.3058153 2
 
< 0.1%
126.8602146 2
 
< 0.1%
127.0712104 2
 
< 0.1%
127.5348603 2
 
< 0.1%
129.1865286 2
 
< 0.1%
127.3223816 2
 
< 0.1%
128.8668333 2
 
< 0.1%
128.5824397 2
 
< 0.1%
Other values (8314) 9980
99.8%
ValueCountFrequency (%)
126.1347725 1
< 0.1%
126.135102 1
< 0.1%
126.1469333 1
< 0.1%
126.1479752 1
< 0.1%
126.1617705 1
< 0.1%
126.1938367 1
< 0.1%
126.2011631 1
< 0.1%
126.2031072 1
< 0.1%
126.2624011 1
< 0.1%
126.2635854 1
< 0.1%
ValueCountFrequency (%)
130.9371488 1
< 0.1%
130.9097085 1
< 0.1%
130.9094952 1
< 0.1%
130.9090547 1
< 0.1%
130.7995697 1
< 0.1%
129.4488963 1
< 0.1%
129.4393101 1
< 0.1%
129.4301334 2
< 0.1%
129.4294052 1
< 0.1%
129.4290787 1
< 0.1%

우편번호
Real number (ℝ)

Distinct6223
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28681.942
Minimum1002
Maximum63615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:46:13.837954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile4305.9
Q112755
median26141
Q343006
95-th percentile58662.5
Maximum63615
Range62613
Interquartile range (IQR)30251

Descriptive statistics

Standard deviation17771.718
Coefficient of variation (CV)0.6196135
Kurtosis-1.2153446
Mean28681.942
Median Absolute Deviation (MAD)14660
Skewness0.26740888
Sum2.8681942 × 108
Variance3.1583397 × 108
MonotonicityNot monotonic
2023-12-13T05:46:14.023341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17504 17
 
0.2%
10071 17
 
0.2%
26223 15
 
0.1%
24032 15
 
0.1%
50948 15
 
0.1%
12768 12
 
0.1%
17854 12
 
0.1%
11813 12
 
0.1%
41942 12
 
0.1%
24464 11
 
0.1%
Other values (6213) 9862
98.6%
ValueCountFrequency (%)
1002 1
 
< 0.1%
1019 1
 
< 0.1%
1029 1
 
< 0.1%
1030 1
 
< 0.1%
1033 3
< 0.1%
1041 3
< 0.1%
1051 2
 
< 0.1%
1054 5
0.1%
1055 1
 
< 0.1%
1063 1
 
< 0.1%
ValueCountFrequency (%)
63615 1
< 0.1%
63614 1
< 0.1%
63613 1
< 0.1%
63599 1
< 0.1%
63595 2
< 0.1%
63594 1
< 0.1%
63591 1
< 0.1%
63585 1
< 0.1%
63582 1
< 0.1%
63579 1
< 0.1%

도로명주소
Text

Distinct8326
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:14.433471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length19.2545
Min length13

Characters and Unicode

Total characters192545
Distinct characters533
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6652 ?
Unique (%)66.5%

Sample

1st row경기도 시흥시 뒷방울길 147
2nd row경기도 김포시 고촌읍 장차로5번길 10
3rd row전라북도 남원시 대산면 대사로 500
4th row경기도 포천시 소흘읍 솔모루로 179
5th row서울특별시 서초구 남부순환로339길 72
ValueCountFrequency (%)
경기도 2845
 
6.4%
서울특별시 1396
 
3.2%
경상북도 832
 
1.9%
경상남도 818
 
1.9%
강원도 649
 
1.5%
부산광역시 599
 
1.4%
대구광역시 535
 
1.2%
대전광역시 331
 
0.7%
광주광역시 315
 
0.7%
충청남도 314
 
0.7%
Other values (8794) 35535
80.5%
2023-12-13T05:46:14.985459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34169
 
17.7%
시 9182
 
4.8%
로 8649
 
4.5%
1 6942
 
3.6%
도 6775
 
3.5%
구 6153
 
3.2%
경 4914
 
2.6%
2 4708
 
2.4%
길 4107
 
2.1%
3 3657
 
1.9%
Other values (523) 103289
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122490
63.6%
Space Separator 34169
 
17.7%
Decimal Number 34009
 
17.7%
Dash Punctuation 1865
 
1.0%
Uppercase Letter 8
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9182
 
7.5%
로 8649
 
7.1%
도 6775
 
5.5%
구 6153
 
5.0%
경 4914
 
4.0%
길 4107
 
3.4%
광 3085
 
2.5%
기 3070
 
2.5%
남 2780
 
2.3%
서 2688
 
2.2%
Other values (505) 71087
58.0%
Decimal Number
ValueCountFrequency (%)
1 6942
20.4%
2 4708
13.8%
3 3657
10.8%
4 3140
9.2%
5 2981
8.8%
6 2853
8.4%
7 2649
 
7.8%
0 2494
 
7.3%
8 2363
 
6.9%
9 2222
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
P 2
25.0%
E 2
25.0%
C 2
25.0%
Other Punctuation
ValueCountFrequency (%)
· 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
34169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1865
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122490
63.6%
Common 70047
36.4%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9182
 
7.5%
로 8649
 
7.1%
도 6775
 
5.5%
구 6153
 
5.0%
경 4914
 
4.0%
길 4107
 
3.4%
광 3085
 
2.5%
기 3070
 
2.5%
남 2780
 
2.3%
서 2688
 
2.2%
Other values (505) 71087
58.0%
Common
ValueCountFrequency (%)
34169
48.8%
1 6942
 
9.9%
2 4708
 
6.7%
3 3657
 
5.2%
4 3140
 
4.5%
5 2981
 
4.3%
6 2853
 
4.1%
7 2649
 
3.8%
0 2494
 
3.6%
8 2363
 
3.4%
Other values (4) 4091
 
5.8%
Latin
ValueCountFrequency (%)
A 2
25.0%
P 2
25.0%
E 2
25.0%
C 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122490
63.6%
ASCII 70052
36.4%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34169
48.8%
1 6942
 
9.9%
2 4708
 
6.7%
3 3657
 
5.2%
4 3140
 
4.5%
5 2981
 
4.3%
6 2853
 
4.1%
7 2649
 
3.8%
0 2494
 
3.6%
8 2363
 
3.4%
Other values (7) 4096
 
5.8%
Hangul
ValueCountFrequency (%)
시 9182
 
7.5%
로 8649
 
7.1%
도 6775
 
5.5%
구 6153
 
5.0%
경 4914
 
4.0%
길 4107
 
3.4%
광 3085
 
2.5%
기 3070
 
2.5%
남 2780
 
2.3%
서 2688
 
2.2%
Other values (505) 71087
58.0%
None
ValueCountFrequency (%)
· 3
100.0%

지번주소
Text

Distinct8321
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:15.387676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length22.5302
Min length13

Characters and Unicode

Total characters225302
Distinct characters702
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6645 ?
Unique (%)66.5%

Sample

1st row경기도 시흥시 정왕동 21
2nd row경기도 김포시 고촌읍 신곡리 1063-8
3rd row전라북도 남원시 대산면 옥율리 883-1 드라곤레이크 컨트리클럽
4th row경기도 포천시 소흘읍 송우리 73-11
5th row서울특별시 서초구 서초동 1439-1 목전빌딩
ValueCountFrequency (%)
경기도 2845
 
5.8%
서울특별시 1397
 
2.9%
경상북도 833
 
1.7%
경상남도 819
 
1.7%
강원도 650
 
1.3%
부산광역시 599
 
1.2%
대구광역시 535
 
1.1%
대전광역시 331
 
0.7%
광주광역시 315
 
0.6%
충청남도 314
 
0.6%
Other values (13394) 40323
82.4%
2023-12-13T05:46:15.945923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38967
 
17.3%
시 9328
 
4.1%
동 9001
 
4.0%
1 8249
 
3.7%
- 7249
 
3.2%
도 6923
 
3.1%
구 6298
 
2.8%
2 5006
 
2.2%
경 4861
 
2.2%
3 4247
 
1.9%
Other values (692) 125173
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138478
61.5%
Decimal Number 39547
 
17.6%
Space Separator 38967
 
17.3%
Dash Punctuation 7249
 
3.2%
Uppercase Letter 634
 
0.3%
Other Punctuation 139
 
0.1%
Lowercase Letter 113
 
0.1%
Open Punctuation 84
 
< 0.1%
Close Punctuation 82
 
< 0.1%
Letter Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9328
 
6.7%
동 9001
 
6.5%
도 6923
 
5.0%
구 6298
 
4.5%
경 4861
 
3.5%
산 3133
 
2.3%
기 3128
 
2.3%
광 3078
 
2.2%
리 3041
 
2.2%
남 2745
 
2.0%
Other values (624) 86942
62.8%
Uppercase Letter
ValueCountFrequency (%)
C 94
14.8%
S 52
 
8.2%
G 39
 
6.2%
I 38
 
6.0%
K 37
 
5.8%
T 37
 
5.8%
O 32
 
5.0%
E 31
 
4.9%
N 30
 
4.7%
L 28
 
4.4%
Other values (15) 216
34.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
17.7%
a 16
14.2%
c 13
11.5%
p 11
9.7%
m 10
8.8%
o 7
 
6.2%
l 7
 
6.2%
r 5
 
4.4%
f 4
 
3.5%
w 4
 
3.5%
Other values (9) 16
14.2%
Decimal Number
ValueCountFrequency (%)
1 8249
20.9%
2 5006
12.7%
3 4247
10.7%
4 3734
9.4%
5 3578
9.0%
6 3372
8.5%
7 3172
 
8.0%
8 2805
 
7.1%
0 2757
 
7.0%
9 2627
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 71
51.1%
. 37
26.6%
& 10
 
7.2%
; 10
 
7.2%
· 7
 
5.0%
/ 4
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
38967
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138480
61.5%
Common 86068
38.2%
Latin 754
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9328
 
6.7%
동 9001
 
6.5%
도 6923
 
5.0%
구 6298
 
4.5%
경 4861
 
3.5%
산 3133
 
2.3%
기 3128
 
2.3%
광 3078
 
2.2%
리 3041
 
2.2%
남 2745
 
2.0%
Other values (625) 86944
62.8%
Latin
ValueCountFrequency (%)
C 94
 
12.5%
S 52
 
6.9%
G 39
 
5.2%
I 38
 
5.0%
K 37
 
4.9%
T 37
 
4.9%
O 32
 
4.2%
E 31
 
4.1%
N 30
 
4.0%
L 28
 
3.7%
Other values (37) 336
44.6%
Common
ValueCountFrequency (%)
38967
45.3%
1 8249
 
9.6%
- 7249
 
8.4%
2 5006
 
5.8%
3 4247
 
4.9%
4 3734
 
4.3%
5 3578
 
4.2%
6 3372
 
3.9%
7 3172
 
3.7%
8 2805
 
3.3%
Other values (10) 5689
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138478
61.5%
ASCII 86808
38.5%
None 9
 
< 0.1%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38967
44.9%
1 8249
 
9.5%
- 7249
 
8.4%
2 5006
 
5.8%
3 4247
 
4.9%
4 3734
 
4.3%
5 3578
 
4.1%
6 3372
 
3.9%
7 3172
 
3.7%
8 2805
 
3.2%
Other values (53) 6429
 
7.4%
Hangul
ValueCountFrequency (%)
시 9328
 
6.7%
동 9001
 
6.5%
도 6923
 
5.0%
구 6298
 
4.5%
경 4861
 
3.5%
산 3133
 
2.3%
기 3128
 
2.3%
광 3078
 
2.2%
리 3041
 
2.2%
남 2745
 
2.0%
Other values (624) 86942
62.8%
None
ValueCountFrequency (%)
· 7
77.8%
㈜ 2
 
22.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%

시설 전화번호
Text

Distinct4859
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:16.195137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.652
Min length4

Characters and Unicode

Total characters86520
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3858 ?
Unique (%)38.6%

Sample

1st row031-498-0737
2nd row031-988-8392
3rd row063-630-3000
4th row031-543-0872
5th row02-598-1061
ValueCountFrequency (%)
정보없음 4128
41.3%
062-960-9928 4
 
< 0.1%
02-474-2455 4
 
< 0.1%
042-347-0130 3
 
< 0.1%
031-318-8848 3
 
< 0.1%
1588-5219 3
 
< 0.1%
031-378-1226 3
 
< 0.1%
054-281-1333 3
 
< 0.1%
031-205-0005 3
 
< 0.1%
1644-0063 3
 
< 0.1%
Other values (4849) 5843
58.4%
2023-12-13T05:46:16.584015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11684
13.5%
0 11479
13.3%
3 7433
 
8.6%
5 6608
 
7.6%
2 6099
 
7.0%
1 5585
 
6.5%
7 5249
 
6.1%
4 4477
 
5.2%
보 4128
 
4.8%
정 4128
 
4.8%
Other values (9) 19650
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58320
67.4%
Other Letter 16514
 
19.1%
Dash Punctuation 11684
 
13.5%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11479
19.7%
3 7433
12.7%
5 6608
11.3%
2 6099
10.5%
1 5585
9.6%
7 5249
9.0%
4 4477
 
7.7%
6 4083
 
7.0%
8 3911
 
6.7%
9 3396
 
5.8%
Other Letter
ValueCountFrequency (%)
보 4128
25.0%
정 4128
25.0%
음 4128
25.0%
없 4128
25.0%
팩 1
 
< 0.1%
스 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 11684
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70006
80.9%
Hangul 16514
 
19.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 11684
16.7%
0 11479
16.4%
3 7433
10.6%
5 6608
9.4%
2 6099
8.7%
1 5585
8.0%
7 5249
7.5%
4 4477
 
6.4%
6 4083
 
5.8%
8 3911
 
5.6%
Other values (3) 3398
 
4.9%
Hangul
ValueCountFrequency (%)
보 4128
25.0%
정 4128
25.0%
음 4128
25.0%
없 4128
25.0%
팩 1
 
< 0.1%
스 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70006
80.9%
Hangul 16514
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11684
16.7%
0 11479
16.4%
3 7433
10.6%
5 6608
9.4%
2 6099
8.7%
1 5585
8.0%
7 5249
7.5%
4 4477
 
6.4%
6 4083
 
5.8%
8 3911
 
5.6%
Other values (3) 3398
 
4.9%
Hangul
ValueCountFrequency (%)
보 4128
25.0%
정 4128
25.0%
음 4128
25.0%
없 4128
25.0%
팩 1
 
< 0.1%
스 1
 
< 0.1%

웹사이트
Text

Distinct2260
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:46:16.904854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length174
Median length4
Mean length12.0093
Min length4

Characters and Unicode

Total characters120093
Distinct characters248
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

Unique1769 ?
Unique (%)17.7%

Sample

1st row정보없음
2nd row정보없음
3rd rowhttp://www.dragonlake.co.kr
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 7007
70.1%
http://www.strikezon.com 54
 
0.5%
http://gdr.golfzon.com/ads/video 22
 
0.2%
http://www.realyagu.com 21
 
0.2%
http://sggolf.com 21
 
0.2%
http://www.realyagu.co.kr 19
 
0.2%
http://www.legendbaseball.co.kr 19
 
0.2%
http://www.sbbking.com 18
 
0.2%
http://realyagu.com 15
 
0.1%
http://www.golfzon.com 11
 
0.1%
Other values (2215) 2793
 
27.9%
2023-12-13T05:46:17.512877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 8573
 
7.1%
t 8078
 
6.7%
음 7009
 
5.8%
정 7008
 
5.8%
보 7008
 
5.8%
없 7007
 
5.8%
. 6473
 
5.4%
o 6045
 
5.0%
w 4508
 
3.8%
a 4288
 
3.6%
Other values (238) 54096
45.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 68416
57.0%
Other Letter 28624
23.8%
Other Punctuation 18291
 
15.2%
Decimal Number 3472
 
2.9%
Uppercase Letter 516
 
0.4%
Connector Punctuation 398
 
0.3%
Dash Punctuation 218
 
0.2%
Math Symbol 158
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 7009
24.5%
정 7008
24.5%
보 7008
24.5%
없 7007
24.5%
시 24
 
0.1%
낚 23
 
0.1%
터 21
 
0.1%
스 19
 
0.1%
프 19
 
0.1%
이 15
 
0.1%
Other values (163) 471
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
t 8078
 
11.8%
o 6045
 
8.8%
w 4508
 
6.6%
a 4288
 
6.3%
e 3969
 
5.8%
c 3966
 
5.8%
p 3908
 
5.7%
h 3817
 
5.6%
n 3668
 
5.4%
s 3321
 
4.9%
Other values (16) 22848
33.4%
Uppercase Letter
ValueCountFrequency (%)
C 57
 
11.0%
I 39
 
7.6%
M 34
 
6.6%
A 32
 
6.2%
T 31
 
6.0%
S 29
 
5.6%
L 29
 
5.6%
P 28
 
5.4%
V 26
 
5.0%
F 25
 
4.8%
Other values (16) 186
36.0%
Other Punctuation
ValueCountFrequency (%)
/ 8573
46.9%
. 6473
35.4%
: 2997
 
16.4%
? 99
 
0.5%
& 57
 
0.3%
% 32
 
0.2%
# 22
 
0.1%
@ 18
 
0.1%
! 14
 
0.1%
, 6
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 695
20.0%
1 520
15.0%
2 450
13.0%
4 320
9.2%
3 302
8.7%
7 281
8.1%
5 263
 
7.6%
9 242
 
7.0%
8 207
 
6.0%
6 192
 
5.5%
Connector Punctuation
ValueCountFrequency (%)
_ 398
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%
Math Symbol
ValueCountFrequency (%)
= 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 68932
57.4%
Hangul 28624
23.8%
Common 22537
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 7009
24.5%
정 7008
24.5%
보 7008
24.5%
없 7007
24.5%
시 24
 
0.1%
낚 23
 
0.1%
터 21
 
0.1%
스 19
 
0.1%
프 19
 
0.1%
이 15
 
0.1%
Other values (163) 471
 
1.6%
Latin
ValueCountFrequency (%)
t 8078
 
11.7%
o 6045
 
8.8%
w 4508
 
6.5%
a 4288
 
6.2%
e 3969
 
5.8%
c 3966
 
5.8%
p 3908
 
5.7%
h 3817
 
5.5%
n 3668
 
5.3%
s 3321
 
4.8%
Other values (42) 23364
33.9%
Common
ValueCountFrequency (%)
/ 8573
38.0%
. 6473
28.7%
: 2997
 
13.3%
0 695
 
3.1%
1 520
 
2.3%
2 450
 
2.0%
_ 398
 
1.8%
4 320
 
1.4%
3 302
 
1.3%
7 281
 
1.2%
Other values (13) 1528
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91469
76.2%
Hangul 28624
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 8573
 
9.4%
t 8078
 
8.8%
. 6473
 
7.1%
o 6045
 
6.6%
w 4508
 
4.9%
a 4288
 
4.7%
e 3969
 
4.3%
c 3966
 
4.3%
p 3908
 
4.3%
h 3817
 
4.2%
Other values (65) 37844
41.4%
Hangul
ValueCountFrequency (%)
음 7009
24.5%
정 7008
24.5%
보 7008
24.5%
없 7007
24.5%
시 24
 
0.1%
낚 23
 
0.1%
터 21
 
0.1%
스 19
 
0.1%
프 19
 
0.1%
이 15
 
0.1%
Other values (163) 471
 
1.6%

와이파이 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
wifi 없음
5713 
wifi 있음
4287 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwifi 없음
2nd rowwifi 있음
3rd rowwifi 있음
4th rowwifi 없음
5th rowwifi 있음

Common Values

ValueCountFrequency (%)
wifi 없음 5713
57.1%
wifi 있음 4287
42.9%

Length

2023-12-13T05:46:17.691063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:17.805704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wifi 10000
50.0%
없음 5713
28.6%
있음 4287
21.4%

애완동물 출입 여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
반려동물 출입 불가
9536 
반려동물 출입 가능
 
464

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row반려동물 출입 불가
2nd row반려동물 출입 불가
3rd row반려동물 출입 불가
4th row반려동물 출입 불가
5th row반려동물 출입 불가

Common Values

ValueCountFrequency (%)
반려동물 출입 불가 9536
95.4%
반려동물 출입 가능 464
 
4.6%

Length

2023-12-13T05:46:17.925560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:18.026968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반려동물 10000
33.3%
출입 10000
33.3%
불가 9536
31.8%
가능 464
 
1.5%

주차장 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주차장 있음
6319 
주차장 없음
3681 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주차장 있음
2nd row주차장 있음
3rd row주차장 있음
4th row주차장 없음
5th row주차장 있음

Common Values

ValueCountFrequency (%)
주차장 있음 6319
63.2%
주차장 없음 3681
36.8%

Length

2023-12-13T05:46:18.135097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:18.237008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차장 10000
50.0%
있음 6319
31.6%
없음 3681
 
18.4%

장애인 출입구 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
장애인 출입구 없음
7791 
장애인 출입구 있음
2209 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인 출입구 없음
2nd row장애인 출입구 없음
3rd row장애인 출입구 없음
4th row장애인 출입구 없음
5th row장애인 출입구 있음

Common Values

ValueCountFrequency (%)
장애인 출입구 없음 7791
77.9%
장애인 출입구 있음 2209
 
22.1%

Length

2023-12-13T05:46:18.363270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:18.495650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인 10000
33.3%
출입구 10000
33.3%
없음 7791
26.0%
있음 2209
 
7.4%

최종작성일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-11-04 00:00:00
Maximum2022-11-04 00:00:00
2023-12-13T05:46:18.607401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:46:18.716547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시설명카테고리1카테고리2카테고리3시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소시설 전화번호웹사이트와이파이 여부애완동물 출입 여부주차장 여부장애인 출입구 여부최종작성일
4736뒷방울낚시터레저/체육/공원지역레저시설낚시터경기도시흥시정왕동<NA>21 번지뒷방울길147 번37.370455126.75072415007경기도 시흥시 뒷방울길 147경기도 시흥시 정왕동 21031-498-0737정보없음wifi 없음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
3053엘볼링장레저/체육/공원지역체육시설볼링장경기도김포시고촌읍신곡리1063-8 번지장차로5번길10 번37.603139126.76979810126경기도 김포시 고촌읍 장차로5번길 10경기도 김포시 고촌읍 신곡리 1063-8031-988-8392정보없음wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
22314골프존카운티 드래곤레저/체육/공원대형레저시설골프장전라북도남원시대산면옥율리883-1 번지대사로500 번35.434446127.34109755779전라북도 남원시 대산면 대사로 500전라북도 남원시 대산면 옥율리 883-1 드라곤레이크 컨트리클럽063-630-3000http://www.dragonlake.co.krwifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
7818세인스크린골프레저/체육/공원지역레저시설스크린골프경기도포천시소흘읍송우리73-11 번지솔모루로179 번37.835771127.15367411170경기도 포천시 소흘읍 솔모루로 179경기도 포천시 소흘읍 송우리 73-11031-543-0872정보없음wifi 없음반려동물 출입 불가주차장 없음장애인 출입구 없음2022-11-04
19359히어로골프아카데미레저/체육/공원지역레저시설스크린골프서울특별시서초구서초동<NA>1439-1 번지남부순환로339길72 번37.48621127.0215046722서울특별시 서초구 남부순환로339길 72서울특별시 서초구 서초동 1439-1 목전빌딩02-598-1061정보없음wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 있음2022-11-04
18791가자실내낚시터레저/체육/공원지역레저시설낚시터서울특별시동대문구용두동<NA>39-728 번지왕산로32길99 번37.575108127.0399792564서울특별시 동대문구 왕산로32길 99서울특별시 동대문구 용두동 39-728 관일빌딩02-963-1733정보없음wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
20904작전체육공원 농구장레저/체육/공원지역체육시설농구장인천광역시계양구작전동<NA>902 번지계양문화로1 번37.531146126.73577521079인천광역시 계양구 계양문화로 1인천광역시 계양구 작전동 902 계양구 야외공연장정보없음정보없음wifi 없음반려동물 출입 가능주차장 있음장애인 출입구 있음2022-11-04
21536바다낚시레저/체육/공원지역레저시설낚시터인천광역시중구항동7가<NA>64-6 번지축항대로64-10 번37.457299126.60386622349인천광역시 중구 축항대로 64-10인천광역시 중구 항동7가 64-6032-884-9234정보없음wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
4596이스케이프탑 수원점레저/체육/공원액티비티방탈출경기도수원시 팔달구인계동<NA>1032-8 번지경수대로446번길61 번37.265284127.03000216489경기도 수원시 팔달구 경수대로446번길 61경기도 수원시 팔달구 인계동 1032-8정보없음http://suwontop.net/wifi 없음반려동물 출입 불가주차장 없음장애인 출입구 없음2022-11-04
5295트라이스크린골프레저/체육/공원지역레저시설스크린골프경기도안성시공도읍만정리817-2 번지공도4로3 번37.000476127.17212217561경기도 안성시 공도읍 공도4로 3경기도 안성시 공도읍 만정리 817-2 우성메디컬프라자070-4256-9977정보없음wifi 없음반려동물 출입 불가주차장 없음장애인 출입구 없음2022-11-04
시설명카테고리1카테고리2카테고리3시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소시설 전화번호웹사이트와이파이 여부애완동물 출입 여부주차장 여부장애인 출입구 여부최종작성일
15279도안탁구클럽레저/체육/공원지역체육시설탁구장대전광역시유성구상대동<NA>441-3 번지월드컵대로304 번36.348198127.33387434198대전광역시 유성구 월드컵대로 304대전광역시 유성구 상대동 441-3정보없음정보없음wifi 없음반려동물 출입 불가주차장 없음장애인 출입구 없음2022-11-04
12676GDR유명골프아카데미 수완점레저/체육/공원지역레저시설스크린골프광주광역시광산구수완동<NA>307 번지북문대로619-54 번35.205643126.83031862245광주광역시 광산구 북문대로 619-54광주광역시 광산구 수완동 307062-951-3007정보없음wifi 없음반려동물 출입 불가주차장 없음장애인 출입구 없음2022-11-04
12373연일 탁구장레저/체육/공원지역체육시설탁구장경상북도포항시 남구연일읍생지리298-6 번지연일로159번길1 번35.996937129.34422337843경상북도 포항시 남구 연일읍 연일로159번길 1경상북도 포항시 남구 연일읍 생지리 298-6054-285-0057정보없음wifi 없음반려동물 출입 불가주차장 없음장애인 출입구 없음2022-11-04
16859탑골프레저/체육/공원지역레저시설스크린골프부산광역시해운대구좌동<NA>1396 번지대천로103번길47 번35.179314129.17404748075부산광역시 해운대구 대천로103번길 47부산광역시 해운대구 좌동 1396 대림1차아파트051-704-0767정보없음wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 있음2022-11-04
17230논현골프연구소레저/체육/공원지역레저시설스크린골프서울특별시강남구논현동<NA>267-1 번지선릉로119길5 번37.513426127.0420596100서울특별시 강남구 선릉로119길 5서울특별시 강남구 논현동 267-1 플랜에이빌딩정보없음정보없음wifi 없음반려동물 출입 불가주차장 없음장애인 출입구 없음2022-11-04
8309DY실외골프연습장레저/체육/공원지역레저시설스크린골프경기도화성시병점동<NA>846 번지병점1로216-13 번37.214121127.04360918405경기도 화성시 병점1로 216-13경기도 화성시 병점동 846 태안프라자031-234-3153정보없음wifi 없음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
8589어구유료낚시터레저/체육/공원지역레저시설낚시터경상남도거제시둔덕면어구리142 번지법동어구로500 번34.820226128.50714953281경상남도 거제시 둔덕면 법동어구로 500경상남도 거제시 둔덕면 어구리 142 중앙수산정보없음정보없음wifi 없음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
19335넥스트에디션 강남점레저/체육/공원액티비티방탈출서울특별시서초구반포동<NA>746-8 번지강남대로79길59 번37.504007127.0211276542서울특별시 서초구 강남대로79길 59서울특별시 서초구 반포동 746-8 새로나 빌딩0507-600-6350http://www.nextedition.co.krwifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
11057대가야CC레저/체육/공원대형레저시설골프장경상북도고령군대가야읍지산리120 번지대가야로1103 번35.718892128.25035640139경상북도 고령군 대가야읍 대가야로 1103경상북도 고령군 대가야읍 지산리 산120 가야대학교054-956-0009https://www.daegayacc.comwifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04
22453이지스크린골프존레저/체육/공원지역레저시설스크린골프전라북도익산시동산동<NA>591-26 번지목천로352 번35.926249126.95950454676전라북도 익산시 목천로 352전라북도 익산시 동산동 591-26 이지골프스쿨063-841-9992http://m.golfzon.com/ghome/11260wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-04

Duplicate rows

Most frequently occurring

시설명카테고리1카테고리2카테고리3시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소시설 전화번호웹사이트와이파이 여부애완동물 출입 여부주차장 여부장애인 출입구 여부최종작성일# duplicates
0GDR골프 아카데미 김해복음병원점레저/체육/공원지역레저시설스크린골프경상남도김해시삼정동<NA>250-3 번지활천로42 번35.231441128.89372450928경상남도 김해시 활천로 42경상남도 김해시 삼정동 250-3055-724-2347https://www.instagram.com/p/CjsA0bmruVL/?igshid=YmMyMTA2M2Y=wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-042
1GV골프아카데미레저/체육/공원지역레저시설스크린골프경기도시흥시목감동<NA>235-2 번지수인로2323 번37.386658126.86263714984경기도 시흥시 수인로 2323경기도 시흥시 목감동 235-2031-439-2232http://www.GVGA.co.krwifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-042
2INFC축구클럽&실내풋살장레저/체육/공원지역체육시설풋살장대구광역시달성군다사읍서재리177 번지서재로56 번35.868674128.49563942928대구광역시 달성군 다사읍 서재로 56대구광역시 달성군 다사읍 서재리 177070-8196-8705https://infc.modoo.at/wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-042
3ITA테니스존 도봉점레저/체육/공원지역체육시설테니스장서울특별시도봉구창동<NA>593-7 번지도봉로110라길69-6 번37.642914127.0366411463서울특별시 도봉구 도봉로110라길 69-6서울특별시 도봉구 창동 593-7정보없음https://www.instagram.com/ita_tenniszone_dobong/wifi 없음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-042
4J풋살파크레저/체육/공원지역체육시설풋살장대구광역시북구산격동<NA>1667 번지유통단지로60 번35.906279128.60966141518대구광역시 북구 유통단지로 60대구광역시 북구 산격동 1667 섬유제품관053-601-0505http://www.jsoccer.co.krwifi 없음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-042
5MC레저레저/체육/공원대형레저시설수상스키강원도춘천시남산면방하리162-12 번지방하로787 번37.800721127.53099724464강원도 춘천시 남산면 방하로 787강원도 춘천시 남산면 방하리 162-12033-263-8420https://www.instagram.com/mcleisure_officialwifi 있음반려동물 출입 가능주차장 있음장애인 출입구 없음2022-11-042
6QED골프아카데미 화도점레저/체육/공원지역레저시설스크린골프경기도남양주시화도읍묵현리411-18 번지마치로256 번37.653025127.27487112178경기도 남양주시 화도읍 마치로 256경기도 남양주시 화도읍 묵현리 411-18031-591-0707정보없음wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 있음2022-11-042
7SM스크린골프레저/체육/공원지역레저시설스크린골프경기도안양시 동안구관양동<NA>954-77 번지흥안대로427번길50 번37.392851126.97161914059경기도 안양시 동안구 흥안대로427번길 50경기도 안양시 동안구 관양동 954-77 에스엠타워031-452-2201정보없음wifi 있음반려동물 출입 가능주차장 있음장애인 출입구 있음2022-11-042
8S풋볼아카데미레저/체육/공원지역체육시설풋살장대전광역시대덕구읍내동<NA>575-2 번지계족로732 번36.376895127.42759134396대전광역시 대덕구 계족로 732대전광역시 대덕구 읍내동 575-2042-347-0130https://www.sfootballacademy.net/wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 없음2022-11-042
9TOP골프아카데미레저/체육/공원지역레저시설스크린골프광주광역시북구양산동<NA>906 번지양산로60 번35.209997126.88071361072광주광역시 북구 양산로 60광주광역시 북구 양산동 906062-575-0750정보없음wifi 있음반려동물 출입 불가주차장 있음장애인 출입구 있음2022-11-042