Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells24534
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 MiB
Average record size in memory299.0 B

Variable types

Text17
Categorical15
Numeric3
DateTime1

Dataset

Description- 전국 배리어프리 문화예술/체육/관광 시설 목록입니다.- 위/경도, 운영시간, 휠체어 대여 가능여부, 전용 주차장 여부, 점자 가이드 여부 등 상세정보를 포함하고 있습니다.- 컬럼 "최종작성일" 기준 구축되었기 때문에, 조회시점 별로 정보가 상이할 수 있습니다.
Author한국문화정보원
URLhttps://www.data.go.kr/data/15111386/fileData.do

Alerts

최종작성일 has constant value ""Constant
분점명 has 9650 (96.5%) missing valuesMissing
법정읍면동명칭 has 324 (3.2%) missing valuesMissing
리 명칭 has 5184 (51.8%) missing valuesMissing
번지 has 375 (3.8%) missing valuesMissing
도로명 이름 has 1971 (19.7%) missing valuesMissing
건물 번호 has 1971 (19.7%) missing valuesMissing
우편번호 has 658 (6.6%) missing valuesMissing
도로명주소 has 1971 (19.7%) missing valuesMissing
전화번호 has 2385 (23.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:46:08.022030
Analysis finished2023-12-12 14:46:11.928241
Duration3.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct9747
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:12.094801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length7.5527
Min length2

Characters and Unicode

Total characters75527
Distinct characters957
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9603 ?
Unique (%)96.0%

Sample

1st row함평엑스포공원
2nd row알천미술관
3rd row캐릭파크
4th row여주문화원
5th row다리유원지
ValueCountFrequency (%)
이마트문화센터 31
 
0.3%
골프존파크 24
 
0.2%
리얼야구존 15
 
0.1%
골프존카운티 15
 
0.1%
프렌즈스크린 9
 
0.1%
골프존 6
 
0.1%
다도해해상국립공원 6
 
0.1%
프렌즈아카데미 6
 
0.1%
축구장 6
 
0.1%
한려해상국립공원 5
 
< 0.1%
Other values (9886) 10093
98.8%
2023-12-12T23:46:12.542503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 2659
 
3.5%
장 2156
 
2.9%
원 1589
 
2.1%
산 1189
 
1.6%
화 1113
 
1.5%
문 1046
 
1.4%
스 1008
 
1.3%
공 990
 
1.3%
리 976
 
1.3%
아 955
 
1.3%
Other values (947) 61846
81.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71539
94.7%
Uppercase Letter 1961
 
2.6%
Decimal Number 1347
 
1.8%
Space Separator 227
 
0.3%
Open Punctuation 185
 
0.2%
Close Punctuation 185
 
0.2%
Other Punctuation 48
 
0.1%
Lowercase Letter 27
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 2659
 
3.7%
장 2156
 
3.0%
원 1589
 
2.2%
산 1189
 
1.7%
화 1113
 
1.6%
문 1046
 
1.5%
스 1008
 
1.4%
공 990
 
1.4%
리 976
 
1.4%
아 955
 
1.3%
Other values (881) 57858
80.9%
Uppercase Letter
ValueCountFrequency (%)
C 724
36.9%
G 145
 
7.4%
E 96
 
4.9%
S 83
 
4.2%
A 81
 
4.1%
K 72
 
3.7%
O 66
 
3.4%
M 65
 
3.3%
T 62
 
3.2%
D 60
 
3.1%
Other values (16) 507
25.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
11.1%
e 3
11.1%
c 3
11.1%
h 2
 
7.4%
t 2
 
7.4%
r 2
 
7.4%
a 2
 
7.4%
m 1
 
3.7%
d 1
 
3.7%
w 1
 
3.7%
Other values (7) 7
25.9%
Decimal Number
ValueCountFrequency (%)
2 533
39.6%
0 234
17.4%
1 216
16.0%
3 131
 
9.7%
4 59
 
4.4%
5 56
 
4.2%
6 33
 
2.4%
7 29
 
2.2%
8 28
 
2.1%
9 28
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 26
54.2%
& 16
33.3%
' 2
 
4.2%
/ 1
 
2.1%
* 1
 
2.1%
, 1
 
2.1%
· 1
 
2.1%
Space Separator
ValueCountFrequency (%)
227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71539
94.7%
Common 2000
 
2.6%
Latin 1988
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 2659
 
3.7%
장 2156
 
3.0%
원 1589
 
2.2%
산 1189
 
1.7%
화 1113
 
1.6%
문 1046
 
1.5%
스 1008
 
1.4%
공 990
 
1.4%
리 976
 
1.4%
아 955
 
1.3%
Other values (881) 57858
80.9%
Latin
ValueCountFrequency (%)
C 724
36.4%
G 145
 
7.3%
E 96
 
4.8%
S 83
 
4.2%
A 81
 
4.1%
K 72
 
3.6%
O 66
 
3.3%
M 65
 
3.3%
T 62
 
3.1%
D 60
 
3.0%
Other values (33) 534
26.9%
Common
ValueCountFrequency (%)
2 533
26.7%
0 234
11.7%
227
11.3%
1 216
10.8%
( 185
 
9.2%
) 185
 
9.2%
3 131
 
6.6%
4 59
 
2.9%
5 56
 
2.8%
6 33
 
1.7%
Other values (13) 141
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71539
94.7%
ASCII 3987
 
5.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 2659
 
3.7%
장 2156
 
3.0%
원 1589
 
2.2%
산 1189
 
1.7%
화 1113
 
1.6%
문 1046
 
1.5%
스 1008
 
1.4%
공 990
 
1.4%
리 976
 
1.4%
아 955
 
1.3%
Other values (881) 57858
80.9%
ASCII
ValueCountFrequency (%)
C 724
18.2%
2 533
13.4%
0 234
 
5.9%
227
 
5.7%
1 216
 
5.4%
( 185
 
4.6%
) 185
 
4.6%
G 145
 
3.6%
3 131
 
3.3%
E 96
 
2.4%
Other values (55) 1311
32.9%
None
ValueCountFrequency (%)
· 1
100.0%

분점명
Text

MISSING 

Distinct324
Distinct (%)92.6%
Missing9650
Missing (%)96.5%
Memory size156.2 KiB
2023-12-12T23:46:12.885465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length4.7428571
Min length1

Characters and Unicode

Total characters1660
Distinct characters307
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

Unique305 ?
Unique (%)87.1%

Sample

1st row서울
2nd row수원점
3rd row이천하이닉스점
4th row제주중문점
5th row비전스포츠점
ValueCountFrequency (%)
부산 6
 
1.6%
제주 5
 
1.3%
서울 4
 
1.0%
주소 4
 
1.0%
오산점 3
 
0.8%
2호점 3
 
0.8%
월배점 2
 
0.5%
고양시 2
 
0.5%
이천 2
 
0.5%
풍산 2
 
0.5%
Other values (337) 354
91.5%
2023-12-12T23:46:13.475439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 183
 
11.0%
산 66
 
4.0%
41
 
2.5%
주 35
 
2.1%
구 32
 
1.9%
지 31
 
1.9%
동 31
 
1.9%
천 30
 
1.8%
스 30
 
1.8%
C 29
 
1.7%
Other values (297) 1152
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1522
91.7%
Uppercase Letter 46
 
2.8%
Space Separator 41
 
2.5%
Decimal Number 36
 
2.2%
Other Punctuation 6
 
0.4%
Dash Punctuation 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 183
 
12.0%
산 66
 
4.3%
주 35
 
2.3%
구 32
 
2.1%
지 31
 
2.0%
동 31
 
2.0%
천 30
 
2.0%
스 30
 
2.0%
장 28
 
1.8%
부 27
 
1.8%
Other values (267) 1029
67.6%
Uppercase Letter
ValueCountFrequency (%)
C 29
63.0%
D 3
 
6.5%
A 2
 
4.3%
S 2
 
4.3%
P 2
 
4.3%
W 1
 
2.2%
F 1
 
2.2%
G 1
 
2.2%
U 1
 
2.2%
T 1
 
2.2%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 11
30.6%
2 8
22.2%
5 4
 
11.1%
6 3
 
8.3%
9 3
 
8.3%
0 2
 
5.6%
3 2
 
5.6%
4 2
 
5.6%
8 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
: 4
66.7%
, 2
33.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1522
91.7%
Common 90
 
5.4%
Latin 48
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 183
 
12.0%
산 66
 
4.3%
주 35
 
2.3%
구 32
 
2.1%
지 31
 
2.0%
동 31
 
2.0%
천 30
 
2.0%
스 30
 
2.0%
장 28
 
1.8%
부 27
 
1.8%
Other values (267) 1029
67.6%
Common
ValueCountFrequency (%)
41
45.6%
1 11
 
12.2%
2 8
 
8.9%
5 4
 
4.4%
: 4
 
4.4%
6 3
 
3.3%
9 3
 
3.3%
- 3
 
3.3%
0 2
 
2.2%
3 2
 
2.2%
Other values (5) 9
 
10.0%
Latin
ValueCountFrequency (%)
C 29
60.4%
D 3
 
6.2%
A 2
 
4.2%
S 2
 
4.2%
P 2
 
4.2%
W 1
 
2.1%
F 1
 
2.1%
G 1
 
2.1%
U 1
 
2.1%
T 1
 
2.1%
Other values (5) 5
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1522
91.7%
ASCII 138
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 183
 
12.0%
산 66
 
4.3%
주 35
 
2.3%
구 32
 
2.1%
지 31
 
2.0%
동 31
 
2.0%
천 30
 
2.0%
스 30
 
2.0%
장 28
 
1.8%
부 27
 
1.8%
Other values (267) 1029
67.6%
ASCII
ValueCountFrequency (%)
41
29.7%
C 29
21.0%
1 11
 
8.0%
2 8
 
5.8%
5 4
 
2.9%
: 4
 
2.9%
D 3
 
2.2%
6 3
 
2.2%
9 3
 
2.2%
- 3
 
2.2%
Other values (20) 29
21.0%

카테고리1
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전시/공연
5053 
문화관광/명소
2548 
레저/체육/공원
2399 

Length

Max length8
Median length5
Mean length6.2293
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row레저/체육/공원
2nd row전시/공연
3rd row문화관광/명소
4th row전시/공연
5th row문화관광/명소

Common Values

ValueCountFrequency (%)
전시/공연 5053
50.5%
문화관광/명소 2548
25.5%
레저/체육/공원 2399
24.0%

Length

2023-12-12T23:46:13.666976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:13.816081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전시/공연 5053
50.5%
문화관광/명소 2548
25.5%
레저/체육/공원 2399
24.0%

카테고리2
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전시/기념관
3338 
관광지
2353 
영화/연극/공연
1715 
대형체육시설
1249 
대형레저시설
885 
Other values (2)
460 

Length

Max length8
Median length6
Mean length5.4726
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공원
2nd row전시/기념관
3rd row관광지
4th row영화/연극/공연
5th row관광지

Common Values

ValueCountFrequency (%)
전시/기념관 3338
33.4%
관광지 2353
23.5%
영화/연극/공연 1715
17.2%
대형체육시설 1249
 
12.5%
대형레저시설 885
 
8.8%
공원 265
 
2.6%
명승지 195
 
1.9%

Length

2023-12-12T23:46:13.960541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:14.103219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전시/기념관 3338
33.4%
관광지 2353
23.5%
영화/연극/공연 1715
17.2%
대형체육시설 1249
 
12.5%
대형레저시설 885
 
8.8%
공원 265
 
2.6%
명승지 195
 
1.9%

카테고리3
Categorical

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타전시/박물관
2557 
N
1425 
공연/연극/문화센터
1277 
미술관
450 
휴양림/수목원
429 
Other values (41)
3862 

Length

Max length12
Median length10
Mean length6.36
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대형시민/도심공원
2nd row미술관
3rd row일반유원지/일반놀이공원
4th row공연/연극/문화센터
5th row일반유원지/일반놀이공원

Common Values

ValueCountFrequency (%)
기타전시/박물관 2557
25.6%
N 1425
14.2%
공연/연극/문화센터 1277
12.8%
미술관 450
 
4.5%
휴양림/수목원 429
 
4.3%
해수욕장 412
 
4.1%
골프장CC 373
 
3.7%
일반유원지/일반놀이공원 325
 
3.2%
지역축구장 282
 
2.8%
유명관광지 237
 
2.4%
Other values (36) 2233
22.3%

Length

2023-12-12T23:46:14.246354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타전시/박물관 2557
25.6%
n 1425
14.2%
공연/연극/문화센터 1277
12.8%
미술관 450
 
4.5%
휴양림/수목원 429
 
4.3%
해수욕장 412
 
4.1%
골프장cc 373
 
3.7%
일반유원지/일반놀이공원 325
 
3.2%
지역축구장 282
 
2.8%
유명관광지 237
 
2.4%
Other values (36) 2233
22.3%

시도 명칭
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
2148 
서울특별시
1373 
강원도
806 
경상북도
770 
전라남도
768 
Other values (12)
4135 

Length

Max length7
Median length5
Mean length4.1224
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도
2nd row경상북도
3rd row제주특별자치도
4th row경기도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 2148
21.5%
서울특별시 1373
13.7%
강원도 806
 
8.1%
경상북도 770
 
7.7%
전라남도 768
 
7.7%
경상남도 765
 
7.6%
충청남도 551
 
5.5%
전라북도 530
 
5.3%
제주특별자치도 411
 
4.1%
충청북도 396
 
4.0%
Other values (7) 1482
14.8%

Length

2023-12-12T23:46:14.410402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2148
21.5%
서울특별시 1373
13.7%
강원도 806
 
8.1%
경상북도 770
 
7.7%
전라남도 768
 
7.7%
경상남도 765
 
7.6%
충청남도 551
 
5.5%
전라북도 530
 
5.3%
제주특별자치도 411
 
4.1%
충청북도 396
 
4.0%
Other values (7) 1482
14.8%

시군구 명칭
Text

Distinct227
Distinct (%)2.3%
Missing45
Missing (%)0.4%
Memory size156.2 KiB
2023-12-12T23:46:14.762976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.4674033
Min length2

Characters and Unicode

Total characters34518
Distinct characters142
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 row함평군
2nd row경주시
3rd row제주시
4th row여주시
5th row가평군
ValueCountFrequency (%)
종로구 332
 
3.0%
중구 295
 
2.7%
제주시 225
 
2.0%
고양시 206
 
1.9%
파주시 196
 
1.8%
서귀포시 186
 
1.7%
강남구 179
 
1.6%
남구 164
 
1.5%
북구 148
 
1.3%
창원시 145
 
1.3%
Other values (226) 9055
81.3%
2023-12-12T23:46:15.258861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4796
 
13.9%
구 3894
 
11.3%
군 2705
 
7.8%
주 1544
 
4.5%
1176
 
3.4%
양 939
 
2.7%
천 895
 
2.6%
산 889
 
2.6%
남 774
 
2.2%
성 734
 
2.1%
Other values (132) 16172
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33342
96.6%
Space Separator 1176
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4796
 
14.4%
구 3894
 
11.7%
군 2705
 
8.1%
주 1544
 
4.6%
양 939
 
2.8%
천 895
 
2.7%
산 889
 
2.7%
남 774
 
2.3%
성 734
 
2.2%
서 700
 
2.1%
Other values (131) 15472
46.4%
Space Separator
ValueCountFrequency (%)
1176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33342
96.6%
Common 1176
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4796
 
14.4%
구 3894
 
11.7%
군 2705
 
8.1%
주 1544
 
4.6%
양 939
 
2.8%
천 895
 
2.7%
산 889
 
2.7%
남 774
 
2.3%
성 734
 
2.2%
서 700
 
2.1%
Other values (131) 15472
46.4%
Common
ValueCountFrequency (%)
1176
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33342
96.6%
ASCII 1176
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4796
 
14.4%
구 3894
 
11.7%
군 2705
 
8.1%
주 1544
 
4.6%
양 939
 
2.8%
천 895
 
2.7%
산 889
 
2.7%
남 774
 
2.3%
성 734
 
2.2%
서 700
 
2.1%
Other values (131) 15472
46.4%
ASCII
ValueCountFrequency (%)
1176
100.0%

법정읍면동명칭
Text

MISSING 

Distinct2415
Distinct (%)25.0%
Missing324
Missing (%)3.2%
Memory size156.2 KiB
2023-12-12T23:46:15.580239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.0018603
Min length2

Characters and Unicode

Total characters29046
Distinct characters333
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique752 ?
Unique (%)7.8%

Sample

1st row함평읍
2nd row황성동
3rd row조천읍
4th row천송동
5th row상면
ValueCountFrequency (%)
탄현면 120
 
1.2%
대화동 91
 
0.9%
동숭동 78
 
0.8%
삼성동 75
 
0.8%
우동 51
 
0.5%
서면 50
 
0.5%
서교동 48
 
0.5%
북면 47
 
0.5%
혜화동 39
 
0.4%
교동 38
 
0.4%
Other values (2405) 9039
93.4%
2023-12-12T23:46:16.018994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 5588
 
19.2%
면 3056
 
10.5%
읍 1463
 
5.0%
산 665
 
2.3%
대 467
 
1.6%
성 466
 
1.6%
천 417
 
1.4%
서 399
 
1.4%
남 365
 
1.3%
화 357
 
1.2%
Other values (323) 15803
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28882
99.4%
Decimal Number 144
 
0.5%
Other Punctuation 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5588
 
19.3%
면 3056
 
10.6%
읍 1463
 
5.1%
산 665
 
2.3%
대 467
 
1.6%
성 466
 
1.6%
천 417
 
1.4%
서 399
 
1.4%
남 365
 
1.3%
화 357
 
1.2%
Other values (316) 15639
54.1%
Decimal Number
ValueCountFrequency (%)
2 53
36.8%
1 37
25.7%
3 22
15.3%
4 19
 
13.2%
5 11
 
7.6%
6 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28882
99.4%
Common 164
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5588
 
19.3%
면 3056
 
10.6%
읍 1463
 
5.1%
산 665
 
2.3%
대 467
 
1.6%
성 466
 
1.6%
천 417
 
1.4%
서 399
 
1.4%
남 365
 
1.3%
화 357
 
1.2%
Other values (316) 15639
54.1%
Common
ValueCountFrequency (%)
2 53
32.3%
1 37
22.6%
3 22
13.4%
. 20
 
12.2%
4 19
 
11.6%
5 11
 
6.7%
6 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28882
99.4%
ASCII 164
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 5588
 
19.3%
면 3056
 
10.6%
읍 1463
 
5.1%
산 665
 
2.3%
대 467
 
1.6%
성 466
 
1.6%
천 417
 
1.4%
서 399
 
1.4%
남 365
 
1.3%
화 357
 
1.2%
Other values (316) 15639
54.1%
ASCII
ValueCountFrequency (%)
2 53
32.3%
1 37
22.6%
3 22
13.4%
. 20
 
12.2%
4 19
 
11.6%
5 11
 
6.7%
6 2
 
1.2%

리 명칭
Text

MISSING 

Distinct2159
Distinct (%)44.8%
Missing5184
Missing (%)51.8%
Memory size156.2 KiB
2023-12-12T23:46:16.369205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0026993
Min length2

Characters and Unicode

Total characters14461
Distinct characters322
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

Unique1129 ?
Unique (%)23.4%

Sample

1st row수호리
2nd row선흘리
3rd row임초리
4th row대가리
5th row법흥리
ValueCountFrequency (%)
법흥리 109
 
2.3%
용산리 27
 
0.6%
고성리 24
 
0.5%
읍내리 18
 
0.4%
대곡리 17
 
0.4%
전곡리 14
 
0.3%
송정리 14
 
0.3%
내리 14
 
0.3%
성산리 14
 
0.3%
금곡리 13
 
0.3%
Other values (2149) 4552
94.5%
2023-12-12T23:46:16.874854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 4832
33.4%
산 384
 
2.7%
동 273
 
1.9%
대 238
 
1.6%
곡 236
 
1.6%
천 213
 
1.5%
신 205
 
1.4%
성 174
 
1.2%
도 173
 
1.2%
정 165
 
1.1%
Other values (312) 7568
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14457
> 99.9%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 4832
33.4%
산 384
 
2.7%
동 273
 
1.9%
대 238
 
1.6%
곡 236
 
1.6%
천 213
 
1.5%
신 205
 
1.4%
성 174
 
1.2%
도 173
 
1.2%
정 165
 
1.1%
Other values (310) 7564
52.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14457
> 99.9%
Common 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 4832
33.4%
산 384
 
2.7%
동 273
 
1.9%
대 238
 
1.6%
곡 236
 
1.6%
천 213
 
1.5%
신 205
 
1.4%
성 174
 
1.2%
도 173
 
1.2%
정 165
 
1.1%
Other values (310) 7564
52.3%
Common
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14457
> 99.9%
ASCII 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 4832
33.4%
산 384
 
2.7%
동 273
 
1.9%
대 238
 
1.6%
곡 236
 
1.6%
천 213
 
1.5%
신 205
 
1.4%
성 174
 
1.2%
도 173
 
1.2%
정 165
 
1.1%
Other values (310) 7564
52.3%
ASCII
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%

번지
Text

MISSING 

Distinct5743
Distinct (%)59.7%
Missing375
Missing (%)3.8%
Memory size156.2 KiB
2023-12-12T23:46:17.302488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.4494545
Min length4

Characters and Unicode

Total characters71701
Distinct characters15
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

Unique4003 ?
Unique (%)41.6%

Sample

1st row1153-1 번지
2nd row988 번지
3rd row2019-3 번지
4th row553 번지
5th row59-2 번지
ValueCountFrequency (%)
번지 9625
47.2%
산 1145
 
5.6%
2600 73
 
0.4%
1 70
 
0.3%
1-1 69
 
0.3%
159 62
 
0.3%
8 24
 
0.1%
3-1 22
 
0.1%
2 21
 
0.1%
1393 20
 
0.1%
Other values (5334) 9264
45.4%
2023-12-12T23:46:17.880172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10770
15.0%
번 9625
13.4%
지 9625
13.4%
1 7640
10.7%
- 5817
8.1%
2 4409
6.1%
3 3650
 
5.1%
5 3179
 
4.4%
4 3171
 
4.4%
6 2984
 
4.2%
Other values (5) 10831
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34718
48.4%
Other Letter 20396
28.4%
Space Separator 10770
 
15.0%
Dash Punctuation 5817
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7640
22.0%
2 4409
12.7%
3 3650
10.5%
5 3179
9.2%
4 3171
9.1%
6 2984
 
8.6%
0 2607
 
7.5%
7 2503
 
7.2%
8 2365
 
6.8%
9 2210
 
6.4%
Other Letter
ValueCountFrequency (%)
번 9625
47.2%
지 9625
47.2%
산 1146
 
5.6%
Space Separator
ValueCountFrequency (%)
10770
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5817
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51305
71.6%
Hangul 20396
 
28.4%

Most frequent character per script

Common
ValueCountFrequency (%)
10770
21.0%
1 7640
14.9%
- 5817
11.3%
2 4409
8.6%
3 3650
 
7.1%
5 3179
 
6.2%
4 3171
 
6.2%
6 2984
 
5.8%
0 2607
 
5.1%
7 2503
 
4.9%
Other values (2) 4575
8.9%
Hangul
ValueCountFrequency (%)
번 9625
47.2%
지 9625
47.2%
산 1146
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51305
71.6%
Hangul 20396
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10770
21.0%
1 7640
14.9%
- 5817
11.3%
2 4409
8.6%
3 3650
 
7.1%
5 3179
 
6.2%
4 3171
 
6.2%
6 2984
 
5.8%
0 2607
 
5.1%
7 2503
 
4.9%
Other values (2) 4575
8.9%
Hangul
ValueCountFrequency (%)
번 9625
47.2%
지 9625
47.2%
산 1146
 
5.6%

도로명 이름
Text

MISSING 

Distinct4756
Distinct (%)59.2%
Missing1971
Missing (%)19.7%
Memory size156.2 KiB
2023-12-12T23:46:18.197155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.468676
Min length2

Characters and Unicode

Total characters35879
Distinct characters540
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3485 ?
Unique (%)43.4%

Sample

1st row곤재로
2nd row알천북로
3rd row선교로
4th row신륵사길
5th row청군로
ValueCountFrequency (%)
헤이리마을길 95
 
1.2%
킨텍스로 82
 
1.0%
영동대로 59
 
0.7%
중앙로 42
 
0.5%
올림픽로 31
 
0.4%
인사동길 25
 
0.3%
대학로 25
 
0.3%
동숭길 22
 
0.3%
해운대해변로 22
 
0.3%
번영로 21
 
0.3%
Other values (4746) 7605
94.7%
2023-12-12T23:46:18.679980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 6096
 
17.0%
길 3341
 
9.3%
대 1004
 
2.8%
1 938
 
2.6%
번 813
 
2.3%
동 639
 
1.8%
산 635
 
1.8%
2 603
 
1.7%
3 486
 
1.4%
4 344
 
1.0%
Other values (530) 20980
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31882
88.9%
Decimal Number 3927
 
10.9%
Uppercase Letter 60
 
0.2%
Other Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 6096
 
19.1%
길 3341
 
10.5%
대 1004
 
3.1%
번 813
 
2.6%
동 639
 
2.0%
산 635
 
2.0%
원 341
 
1.1%
남 327
 
1.0%
화 312
 
1.0%
천 297
 
0.9%
Other values (515) 18077
56.7%
Decimal Number
ValueCountFrequency (%)
1 938
23.9%
2 603
15.4%
3 486
12.4%
4 344
 
8.8%
5 322
 
8.2%
6 292
 
7.4%
7 247
 
6.3%
0 241
 
6.1%
9 231
 
5.9%
8 223
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 15
25.0%
E 15
25.0%
P 15
25.0%
A 15
25.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31882
88.9%
Common 3937
 
11.0%
Latin 60
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 6096
 
19.1%
길 3341
 
10.5%
대 1004
 
3.1%
번 813
 
2.6%
동 639
 
2.0%
산 635
 
2.0%
원 341
 
1.1%
남 327
 
1.0%
화 312
 
1.0%
천 297
 
0.9%
Other values (515) 18077
56.7%
Common
ValueCountFrequency (%)
1 938
23.8%
2 603
15.3%
3 486
12.3%
4 344
 
8.7%
5 322
 
8.2%
6 292
 
7.4%
7 247
 
6.3%
0 241
 
6.1%
9 231
 
5.9%
8 223
 
5.7%
Latin
ValueCountFrequency (%)
C 15
25.0%
E 15
25.0%
P 15
25.0%
A 15
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31882
88.9%
ASCII 3997
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 6096
 
19.1%
길 3341
 
10.5%
대 1004
 
3.1%
번 813
 
2.6%
동 639
 
2.0%
산 635
 
2.0%
원 341
 
1.1%
남 327
 
1.0%
화 312
 
1.0%
천 297
 
0.9%
Other values (515) 18077
56.7%
ASCII
ValueCountFrequency (%)
1 938
23.5%
2 603
15.1%
3 486
12.2%
4 344
 
8.6%
5 322
 
8.1%
6 292
 
7.3%
7 247
 
6.2%
0 241
 
6.0%
9 231
 
5.8%
8 223
 
5.6%
Other values (5) 70
 
1.8%

건물 번호
Text

MISSING 

Distinct2643
Distinct (%)32.9%
Missing1971
Missing (%)19.7%
Memory size156.2 KiB
2023-12-12T23:46:19.147515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.1544402
Min length3

Characters and Unicode

Total characters41385
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

Unique1818 ?
Unique (%)22.6%

Sample

1st row27 번
2nd row1 번
3rd row266 번
4th row6-6 번
5th row581 번
ValueCountFrequency (%)
번 8029
50.0%
217-60 73
 
0.5%
10 69
 
0.4%
1 69
 
0.4%
20 68
 
0.4%
7 64
 
0.4%
30 61
 
0.4%
26 58
 
0.4%
15 54
 
0.3%
12 54
 
0.3%
Other values (2634) 7459
46.5%
2023-12-12T23:46:19.727276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8029
19.4%
번 8029
19.4%
1 4666
11.3%
2 3036
 
7.3%
3 2562
 
6.2%
4 2203
 
5.3%
5 2125
 
5.1%
6 1982
 
4.8%
0 1956
 
4.7%
- 1830
 
4.4%
Other values (3) 4967
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23497
56.8%
Space Separator 8029
 
19.4%
Other Letter 8029
 
19.4%
Dash Punctuation 1830
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4666
19.9%
2 3036
12.9%
3 2562
10.9%
4 2203
9.4%
5 2125
9.0%
6 1982
8.4%
0 1956
8.3%
7 1783
 
7.6%
8 1650
 
7.0%
9 1534
 
6.5%
Space Separator
ValueCountFrequency (%)
8029
100.0%
Other Letter
ValueCountFrequency (%)
번 8029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1830
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33356
80.6%
Hangul 8029
 
19.4%

Most frequent character per script

Common
ValueCountFrequency (%)
8029
24.1%
1 4666
14.0%
2 3036
 
9.1%
3 2562
 
7.7%
4 2203
 
6.6%
5 2125
 
6.4%
6 1982
 
5.9%
0 1956
 
5.9%
- 1830
 
5.5%
7 1783
 
5.3%
Other values (2) 3184
 
9.5%
Hangul
ValueCountFrequency (%)
번 8029
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33356
80.6%
Hangul 8029
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8029
24.1%
1 4666
14.0%
2 3036
 
9.1%
3 2562
 
7.7%
4 2203
 
6.6%
5 2125
 
6.4%
6 1982
 
5.9%
0 1956
 
5.9%
- 1830
 
5.5%
7 1783
 
5.3%
Other values (2) 3184
 
9.5%
Hangul
ValueCountFrequency (%)
번 8029
100.0%

위도
Real number (ℝ)

Distinct8807
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.482123
Minimum33.168246
Maximum38.586685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:46:19.880740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.168246
5-th percentile34.469366
Q135.499856
median36.840595
Q337.532506
95-th percentile37.832028
Maximum38.586685
Range5.4184396
Interquartile range (IQR)2.0326493

Descriptive statistics

Standard deviation1.2175099
Coefficient of variation (CV)0.03337278
Kurtosis-0.36713136
Mean36.482123
Median Absolute Deviation (MAD)0.81305262
Skewness-0.71632617
Sum364821.23
Variance1.4823303
MonotonicityNot monotonic
2023-12-12T23:46:20.055511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.66893348 73
 
0.7%
37.51182391 50
 
0.5%
35.15979857 17
 
0.2%
35.16906372 10
 
0.1%
35.90706959 10
 
0.1%
37.2864229 8
 
0.1%
37.66469545 8
 
0.1%
37.65094444 7
 
0.1%
37.26677627 7
 
0.1%
37.25636075 7
 
0.1%
Other values (8797) 9803
98.0%
ValueCountFrequency (%)
33.16824566 1
< 0.1%
33.16973194 1
< 0.1%
33.21011615 1
< 0.1%
33.22150619 1
< 0.1%
33.22261902 1
< 0.1%
33.22517147 1
< 0.1%
33.2254476 1
< 0.1%
33.23169414 2
< 0.1%
33.2332903 1
< 0.1%
33.23342738 1
< 0.1%
ValueCountFrequency (%)
38.5866853 1
< 0.1%
38.57627905 1
< 0.1%
38.54252026 1
< 0.1%
38.51438609 1
< 0.1%
38.51392157 1
< 0.1%
38.49900992 1
< 0.1%
38.49890431 1
< 0.1%
38.49642364 1
< 0.1%
38.47218738 2
< 0.1%
38.47099371 1
< 0.1%

경도
Real number (ℝ)

Distinct8789
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.52036
Minimum124.67987
Maximum130.90971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:46:20.233238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.67987
5-th percentile126.45248
Q1126.90169
median127.16213
Q3128.25047
95-th percentile129.16779
Maximum130.90971
Range6.229833
Interquartile range (IQR)1.3487765

Descriptive statistics

Standard deviation0.88559193
Coefficient of variation (CV)0.0069447103
Kurtosis-0.35614637
Mean127.52036
Median Absolute Deviation (MAD)0.447827
Skewness0.71120595
Sum1275203.6
Variance0.78427307
MonotonicityNot monotonic
2023-12-12T23:46:20.395788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.745803 73
 
0.7%
127.059159 50
 
0.5%
129.141957 17
 
0.2%
128.613074 10
 
0.1%
129.136018 10
 
0.1%
127.035967 8
 
0.1%
126.742064 8
 
0.1%
126.985018 7
 
0.1%
126.84048 7
 
0.1%
127.202128 7
 
0.1%
Other values (8779) 9803
98.0%
ValueCountFrequency (%)
124.679875 1
 
< 0.1%
124.685466 1
 
< 0.1%
124.692901 1
 
< 0.1%
124.698247 3
< 0.1%
124.700726 1
 
< 0.1%
124.704306 1
 
< 0.1%
124.759472 1
 
< 0.1%
125.095867 1
 
< 0.1%
125.110906 1
 
< 0.1%
125.19235 1
 
< 0.1%
ValueCountFrequency (%)
130.909708 1
< 0.1%
130.907061 1
< 0.1%
130.907016 1
< 0.1%
130.904676 1
< 0.1%
130.902071 1
< 0.1%
130.90088 1
< 0.1%
130.90063 1
< 0.1%
130.900151 1
< 0.1%
130.890003 2
< 0.1%
130.876563 1
< 0.1%

우편번호
Real number (ℝ)

MISSING 

Distinct5589
Distinct (%)59.8%
Missing658
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean30902.534
Minimum1000
Maximum63644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:46:20.561738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3311.05
Q112583
median28152
Q350313
95-th percentile61639.95
Maximum63644
Range62644
Interquartile range (IQR)37730

Descriptive statistics

Standard deviation19345.103
Coefficient of variation (CV)0.62600378
Kurtosis-1.3269666
Mean30902.534
Median Absolute Deviation (MAD)16964
Skewness0.16960492
Sum2.8869147 × 108
Variance3.7423301 × 108
MonotonicityNot monotonic
2023-12-12T23:46:20.730951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10859 103
 
1.0%
10390 83
 
0.8%
6164 59
 
0.6%
3086 54
 
0.5%
48090 20
 
0.2%
48060 15
 
0.1%
38117 14
 
0.1%
13829 14
 
0.1%
41515 13
 
0.1%
3085 11
 
0.1%
Other values (5579) 8956
89.6%
(Missing) 658
 
6.6%
ValueCountFrequency (%)
1000 2
< 0.1%
1002 2
< 0.1%
1007 1
< 0.1%
1009 1
< 0.1%
1013 1
< 0.1%
1036 1
< 0.1%
1064 1
< 0.1%
1143 1
< 0.1%
1194 1
< 0.1%
1206 1
< 0.1%
ValueCountFrequency (%)
63644 4
< 0.1%
63643 2
 
< 0.1%
63642 9
0.1%
63641 4
< 0.1%
63640 1
 
< 0.1%
63639 1
 
< 0.1%
63636 1
 
< 0.1%
63635 6
0.1%
63633 3
 
< 0.1%
63632 1
 
< 0.1%

도로명주소
Text

MISSING 

Distinct6939
Distinct (%)86.4%
Missing1971
Missing (%)19.7%
Memory size156.2 KiB
2023-12-12T23:46:21.446497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length20.004359
Min length13

Characters and Unicode

Total characters160615
Distinct characters547
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

Unique6281 ?
Unique (%)78.2%

Sample

1st row전라남도 함평군 함평읍 곤재로 27
2nd row경상북도 경주시 알천북로 1
3rd row제주특별자치도 제주시 조천읍 선교로 266
4th row경기도 여주시 신륵사길 6-6
5th row경기도 가평군 상면 청군로 581
ValueCountFrequency (%)
경기도 1813
 
5.0%
서울특별시 1291
 
3.5%
경상남도 586
 
1.6%
경상북도 578
 
1.6%
강원도 546
 
1.5%
전라남도 519
 
1.4%
충청남도 420
 
1.1%
전라북도 417
 
1.1%
부산광역시 329
 
0.9%
종로구 327
 
0.9%
Other values (8549) 29765
81.3%
2023-12-12T23:46:22.038988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28562
 
17.8%
시 6517
 
4.1%
로 6445
 
4.0%
도 5909
 
3.7%
1 5604
 
3.5%
구 3869
 
2.4%
2 3639
 
2.3%
길 3352
 
2.1%
경 3320
 
2.1%
3 3048
 
1.9%
Other values (537) 90350
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102753
64.0%
Space Separator 28562
 
17.8%
Decimal Number 27412
 
17.1%
Dash Punctuation 1818
 
1.1%
Uppercase Letter 60
 
< 0.1%
Other Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6517
 
6.3%
로 6445
 
6.3%
도 5909
 
5.8%
구 3869
 
3.8%
길 3352
 
3.3%
경 3320
 
3.2%
남 2663
 
2.6%
면 2344
 
2.3%
서 2288
 
2.2%
산 2149
 
2.1%
Other values (520) 63897
62.2%
Decimal Number
ValueCountFrequency (%)
1 5604
20.4%
2 3639
13.3%
3 3048
11.1%
4 2547
9.3%
5 2447
8.9%
6 2274
8.3%
0 2185
 
8.0%
7 2030
 
7.4%
8 1873
 
6.8%
9 1765
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
C 15
25.0%
E 15
25.0%
P 15
25.0%
A 15
25.0%
Space Separator
ValueCountFrequency (%)
28562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1818
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102753
64.0%
Common 57802
36.0%
Latin 60
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6517
 
6.3%
로 6445
 
6.3%
도 5909
 
5.8%
구 3869
 
3.8%
길 3352
 
3.3%
경 3320
 
3.2%
남 2663
 
2.6%
면 2344
 
2.3%
서 2288
 
2.2%
산 2149
 
2.1%
Other values (520) 63897
62.2%
Common
ValueCountFrequency (%)
28562
49.4%
1 5604
 
9.7%
2 3639
 
6.3%
3 3048
 
5.3%
4 2547
 
4.4%
5 2447
 
4.2%
6 2274
 
3.9%
0 2185
 
3.8%
7 2030
 
3.5%
8 1873
 
3.2%
Other values (3) 3593
 
6.2%
Latin
ValueCountFrequency (%)
C 15
25.0%
E 15
25.0%
P 15
25.0%
A 15
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102753
64.0%
ASCII 57862
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28562
49.4%
1 5604
 
9.7%
2 3639
 
6.3%
3 3048
 
5.3%
4 2547
 
4.4%
5 2447
 
4.2%
6 2274
 
3.9%
0 2185
 
3.8%
7 2030
 
3.5%
8 1873
 
3.2%
Other values (7) 3653
 
6.3%
Hangul
ValueCountFrequency (%)
시 6517
 
6.3%
로 6445
 
6.3%
도 5909
 
5.8%
구 3869
 
3.8%
길 3352
 
3.3%
경 3320
 
3.2%
남 2663
 
2.6%
면 2344
 
2.3%
서 2288
 
2.2%
산 2149
 
2.1%
Other values (520) 63897
62.2%

지번주소
Text

Distinct8728
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:22.500776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length19.8019
Min length10

Characters and Unicode

Total characters198019
Distinct characters376
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7960 ?
Unique (%)79.6%

Sample

1st row전라남도 함평군 함평읍 수호리 1153-1
2nd row경상북도 경주시 황성동 988
3rd row제주특별자치도 제주시 조천읍 선흘리 2019-3
4th row경기도 여주시 천송동 553
5th row경기도 가평군 상면 임초리 59-2
ValueCountFrequency (%)
경기도 2148
 
4.6%
서울특별시 1373
 
2.9%
산 1145
 
2.5%
강원도 806
 
1.7%
경상북도 770
 
1.6%
전라남도 768
 
1.6%
경상남도 765
 
1.6%
충청남도 551
 
1.2%
전라북도 530
 
1.1%
제주특별자치도 411
 
0.9%
Other values (10246) 37460
80.2%
2023-12-12T23:46:23.098160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36727
 
18.5%
도 7816
 
3.9%
1 7756
 
3.9%
시 7727
 
3.9%
동 6271
 
3.2%
- 5810
 
2.9%
리 4886
 
2.5%
2 4530
 
2.3%
구 4397
 
2.2%
경 3945
 
2.0%
Other values (366) 108154
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120400
60.8%
Space Separator 36727
 
18.5%
Decimal Number 35080
 
17.7%
Dash Punctuation 5810
 
2.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7816
 
6.5%
시 7727
 
6.4%
동 6271
 
5.2%
리 4886
 
4.1%
구 4397
 
3.7%
경 3945
 
3.3%
산 3653
 
3.0%
남 3361
 
2.8%
면 3351
 
2.8%
군 2804
 
2.3%
Other values (352) 72189
60.0%
Decimal Number
ValueCountFrequency (%)
1 7756
22.1%
2 4530
12.9%
3 3733
10.6%
5 3193
9.1%
4 3192
9.1%
6 2992
 
8.5%
0 2601
 
7.4%
7 2508
 
7.1%
8 2365
 
6.7%
9 2210
 
6.3%
Space Separator
ValueCountFrequency (%)
36727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5810
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120400
60.8%
Common 77619
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7816
 
6.5%
시 7727
 
6.4%
동 6271
 
5.2%
리 4886
 
4.1%
구 4397
 
3.7%
경 3945
 
3.3%
산 3653
 
3.0%
남 3361
 
2.8%
면 3351
 
2.8%
군 2804
 
2.3%
Other values (352) 72189
60.0%
Common
ValueCountFrequency (%)
36727
47.3%
1 7756
 
10.0%
- 5810
 
7.5%
2 4530
 
5.8%
3 3733
 
4.8%
5 3193
 
4.1%
4 3192
 
4.1%
6 2992
 
3.9%
0 2601
 
3.4%
7 2508
 
3.2%
Other values (4) 4577
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120400
60.8%
ASCII 77619
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36727
47.3%
1 7756
 
10.0%
- 5810
 
7.5%
2 4530
 
5.8%
3 3733
 
4.8%
5 3193
 
4.1%
4 3192
 
4.1%
6 2992
 
3.9%
0 2601
 
3.4%
7 2508
 
3.2%
Other values (4) 4577
 
5.9%
Hangul
ValueCountFrequency (%)
도 7816
 
6.5%
시 7727
 
6.4%
동 6271
 
5.2%
리 4886
 
4.1%
구 4397
 
3.7%
경 3945
 
3.3%
산 3653
 
3.0%
남 3361
 
2.8%
면 3351
 
2.8%
군 2804
 
2.3%
Other values (352) 72189
60.0%

전화번호
Text

MISSING 

Distinct6806
Distinct (%)89.4%
Missing2385
Missing (%)23.8%
Memory size156.2 KiB
2023-12-12T23:46:23.421665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.996848
Min length6

Characters and Unicode

Total characters91356
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

Unique6262 ?
Unique (%)82.2%

Sample

1st row061-320-2213
2nd row054-777-5822
3rd row031-883-3450
4th row0507-1414-6062
5th row1899-6611
ValueCountFrequency (%)
033-680-3356 20
 
0.3%
033-432-7801 18
 
0.2%
033-572-3011 11
 
0.1%
031-481-4990 11
 
0.1%
1544-9053 9
 
0.1%
033-460-2170 9
 
0.1%
033-442-1211 8
 
0.1%
033-250-3089 8
 
0.1%
033-330-2000 7
 
0.1%
061-550-0900 7
 
0.1%
Other values (6796) 7507
98.6%
2023-12-12T23:46:23.892470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15973
17.5%
- 15020
16.4%
3 9518
10.4%
5 8288
9.1%
1 7631
8.4%
2 7399
8.1%
4 6644
7.3%
7 6061
 
6.6%
6 6023
 
6.6%
8 5023
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76336
83.6%
Dash Punctuation 15020
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15973
20.9%
3 9518
12.5%
5 8288
10.9%
1 7631
10.0%
2 7399
9.7%
4 6644
8.7%
7 6061
 
7.9%
6 6023
 
7.9%
8 5023
 
6.6%
9 3776
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 15020
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91356
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15973
17.5%
- 15020
16.4%
3 9518
10.4%
5 8288
9.1%
1 7631
8.4%
2 7399
8.1%
4 6644
7.3%
7 6061
 
6.6%
6 6023
 
6.6%
8 5023
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15973
17.5%
- 15020
16.4%
3 9518
10.4%
5 8288
9.1%
1 7631
8.4%
2 7399
8.1%
4 6644
7.3%
7 6061
 
6.6%
6 6023
 
6.6%
8 5023
 
5.5%

홈페이지
Text

Distinct4978
Distinct (%)49.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:24.277388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length104
Mean length16.8635
Min length4

Characters and Unicode

Total characters168635
Distinct characters144
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

Unique4713 ?
Unique (%)47.1%

Sample

1st rowwww.hampyeong.go.kr/expopark/
2nd rowwww.garts.kr
3rd row정보없음
4th rowwww.yeojucc.co.kr/
5th rowwww.cpminbak.co.kr/dari/
ValueCountFrequency (%)
정보없음 4688
46.9%
www.realyagu.co.kr/html/store_info.php 12
 
0.1%
www.cultureclub.emart.com 6
 
0.1%
https://tinyurl.com/423bpk7j 6
 
0.1%
www.mmca.go.kr 6
 
0.1%
www.cultureclub.emart.com/main 5
 
< 0.1%
www.kintex.com 5
 
< 0.1%
visendaegu.com 5
 
< 0.1%
https://tinyurl.com/urfb276c 5
 
< 0.1%
www.gjw.co.kr/contents/contents.php 4
 
< 0.1%
Other values (4934) 5258
52.6%
2023-12-12T23:46:24.812461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 13832
 
8.2%
o 11108
 
6.6%
w 10683
 
6.3%
/ 9139
 
5.4%
r 8703
 
5.2%
e 7324
 
4.3%
a 6863
 
4.1%
n 6738
 
4.0%
t 6250
 
3.7%
c 6105
 
3.6%
Other values (134) 81890
48.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 114994
68.2%
Other Punctuation 24507
 
14.5%
Other Letter 18827
 
11.2%
Decimal Number 7250
 
4.3%
Uppercase Letter 1136
 
0.7%
Math Symbol 831
 
0.5%
Connector Punctuation 750
 
0.4%
Dash Punctuation 325
 
0.2%
Control 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 4689
24.9%
정 4688
24.9%
음 4688
24.9%
없 4688
24.9%
관 4
 
< 0.1%
물 2
 
< 0.1%
연 2
 
< 0.1%
동 2
 
< 0.1%
포 2
 
< 0.1%
양 2
 
< 0.1%
Other values (58) 60
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
o 11108
 
9.7%
w 10683
 
9.3%
r 8703
 
7.6%
e 7324
 
6.4%
a 6863
 
6.0%
n 6738
 
5.9%
t 6250
 
5.4%
c 6105
 
5.3%
m 5688
 
4.9%
s 5447
 
4.7%
Other values (16) 40085
34.9%
Uppercase Letter
ValueCountFrequency (%)
I 177
15.6%
C 124
 
10.9%
S 90
 
7.9%
T 64
 
5.6%
M 64
 
5.6%
P 61
 
5.4%
V 61
 
5.4%
N 55
 
4.8%
D 54
 
4.8%
H 43
 
3.8%
Other values (16) 343
30.2%
Decimal Number
ValueCountFrequency (%)
0 1349
18.6%
2 1038
14.3%
1 1037
14.3%
4 768
10.6%
3 621
8.6%
5 559
7.7%
6 518
 
7.1%
7 472
 
6.5%
8 465
 
6.4%
9 423
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 13832
56.4%
/ 9139
37.3%
: 620
 
2.5%
? 594
 
2.4%
& 255
 
1.0%
# 36
 
0.1%
% 30
 
0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 827
99.5%
| 2
 
0.2%
~ 2
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 325
100.0%
Control
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 116130
68.9%
Common 33678
 
20.0%
Hangul 18827
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 4689
24.9%
정 4688
24.9%
음 4688
24.9%
없 4688
24.9%
관 4
 
< 0.1%
물 2
 
< 0.1%
연 2
 
< 0.1%
동 2
 
< 0.1%
포 2
 
< 0.1%
양 2
 
< 0.1%
Other values (58) 60
 
0.3%
Latin
ValueCountFrequency (%)
o 11108
 
9.6%
w 10683
 
9.2%
r 8703
 
7.5%
e 7324
 
6.3%
a 6863
 
5.9%
n 6738
 
5.8%
t 6250
 
5.4%
c 6105
 
5.3%
m 5688
 
4.9%
s 5447
 
4.7%
Other values (42) 41221
35.5%
Common
ValueCountFrequency (%)
. 13832
41.1%
/ 9139
27.1%
0 1349
 
4.0%
2 1038
 
3.1%
1 1037
 
3.1%
= 827
 
2.5%
4 768
 
2.3%
_ 750
 
2.2%
3 621
 
1.8%
: 620
 
1.8%
Other values (14) 3697
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 149808
88.8%
Hangul 18827
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 13832
 
9.2%
o 11108
 
7.4%
w 10683
 
7.1%
/ 9139
 
6.1%
r 8703
 
5.8%
e 7324
 
4.9%
a 6863
 
4.6%
n 6738
 
4.5%
t 6250
 
4.2%
c 6105
 
4.1%
Other values (66) 63063
42.1%
Hangul
ValueCountFrequency (%)
보 4689
24.9%
정 4688
24.9%
음 4688
24.9%
없 4688
24.9%
관 4
 
< 0.1%
물 2
 
< 0.1%
연 2
 
< 0.1%
동 2
 
< 0.1%
포 2
 
< 0.1%
양 2
 
< 0.1%
Other values (58) 60
 
0.3%

블로그 주소
Text

Distinct587
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:25.126580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length4
Mean length5.2891
Min length4

Characters and Unicode

Total characters52891
Distinct characters73
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

Unique563 ?
Unique (%)5.6%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 9376
93.8%
blog.naver.com/real_yaguzone 12
 
0.1%
blog.naver.com/bexcoblog 4
 
< 0.1%
blog.naver.com/bluelinepark 4
 
< 0.1%
blog.naver.com/letsrun2014 3
 
< 0.1%
blog.naver.com/cocomongecopark 2
 
< 0.1%
blog.naver.com/sky72_golf 2
 
< 0.1%
blog.naver.com/gmanews 2
 
< 0.1%
blog.naver.com/art_sochon 2
 
< 0.1%
blog.naver.com/byeokgolje 2
 
< 0.1%
Other values (577) 591
 
5.9%
2023-12-12T23:46:25.597719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 9376
17.7%
없 9376
17.7%
음 9376
17.7%
보 9376
17.7%
o 1507
 
2.8%
. 1213
 
2.3%
a 1077
 
2.0%
e 1023
 
1.9%
n 973
 
1.8%
l 869
 
1.6%
Other values (63) 8725
16.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37504
70.9%
Lowercase Letter 12388
 
23.4%
Other Punctuation 1986
 
3.8%
Decimal Number 763
 
1.4%
Uppercase Letter 134
 
0.3%
Connector Punctuation 91
 
0.2%
Dash Punctuation 21
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1507
12.2%
a 1077
 
8.7%
e 1023
 
8.3%
n 973
 
7.9%
l 869
 
7.0%
g 858
 
6.9%
r 851
 
6.9%
m 825
 
6.7%
c 765
 
6.2%
b 677
 
5.5%
Other values (16) 2963
23.9%
Uppercase Letter
ValueCountFrequency (%)
K 9
 
6.7%
E 9
 
6.7%
D 8
 
6.0%
R 8
 
6.0%
L 8
 
6.0%
I 7
 
5.2%
P 7
 
5.2%
B 7
 
5.2%
W 6
 
4.5%
Y 6
 
4.5%
Other values (16) 59
44.0%
Decimal Number
ValueCountFrequency (%)
0 152
19.9%
1 129
16.9%
2 115
15.1%
9 70
9.2%
7 65
8.5%
3 51
 
6.7%
5 49
 
6.4%
4 48
 
6.3%
8 46
 
6.0%
6 38
 
5.0%
Other Letter
ValueCountFrequency (%)
정 9376
25.0%
없 9376
25.0%
음 9376
25.0%
보 9376
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1213
61.1%
/ 722
36.4%
: 47
 
2.4%
? 4
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37504
70.9%
Latin 12522
 
23.7%
Common 2865
 
5.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1507
12.0%
a 1077
 
8.6%
e 1023
 
8.2%
n 973
 
7.8%
l 869
 
6.9%
g 858
 
6.9%
r 851
 
6.8%
m 825
 
6.6%
c 765
 
6.1%
b 677
 
5.4%
Other values (42) 3097
24.7%
Common
ValueCountFrequency (%)
. 1213
42.3%
/ 722
25.2%
0 152
 
5.3%
1 129
 
4.5%
2 115
 
4.0%
_ 91
 
3.2%
9 70
 
2.4%
7 65
 
2.3%
3 51
 
1.8%
5 49
 
1.7%
Other values (7) 208
 
7.3%
Hangul
ValueCountFrequency (%)
정 9376
25.0%
없 9376
25.0%
음 9376
25.0%
보 9376
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37504
70.9%
ASCII 15387
29.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 9376
25.0%
없 9376
25.0%
음 9376
25.0%
보 9376
25.0%
ASCII
ValueCountFrequency (%)
o 1507
 
9.8%
. 1213
 
7.9%
a 1077
 
7.0%
e 1023
 
6.6%
n 973
 
6.3%
l 869
 
5.6%
g 858
 
5.6%
r 851
 
5.5%
m 825
 
5.4%
c 765
 
5.0%
Other values (59) 5426
35.3%

페이스북 주소
Text

Distinct487
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:25.825476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length4
Mean length5.304
Min length4

Characters and Unicode

Total characters53040
Distinct characters71
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

Unique457 ?
Unique (%)4.6%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 9460
94.6%
www.facebook.com/realyagu 12
 
0.1%
www.facebook.com/dadohaehaesang.knp 6
 
0.1%
www.facebook.com/mmcakorea 5
 
< 0.1%
www.facebook.com/hallyeohaesang.knp 5
 
< 0.1%
www.facebook.com/haeundaebluelinepark 4
 
< 0.1%
www.facebook.com/bexcokr 4
 
< 0.1%
www.facebook.com/phoenixhnr 3
 
< 0.1%
www.facebook.com/letsrunpark 3
 
< 0.1%
www.facebook.com/pccfart 2
 
< 0.1%
Other values (472) 496
 
5.0%
2023-12-12T23:46:26.213775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 9460
17.8%
보 9460
17.8%
없 9460
17.8%
음 9460
17.8%
o 1728
 
3.3%
w 1314
 
2.5%
c 1115
 
2.1%
. 1077
 
2.0%
a 1009
 
1.9%
e 943
 
1.8%
Other values (61) 8014
15.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37840
71.3%
Lowercase Letter 12514
 
23.6%
Other Punctuation 2031
 
3.8%
Decimal Number 315
 
0.6%
Uppercase Letter 310
 
0.6%
Dash Punctuation 21
 
< 0.1%
Connector Punctuation 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1728
13.8%
w 1314
 
10.5%
c 1115
 
8.9%
a 1009
 
8.1%
e 943
 
7.5%
k 730
 
5.8%
m 709
 
5.7%
b 543
 
4.3%
f 542
 
4.3%
r 537
 
4.3%
Other values (16) 3344
26.7%
Uppercase Letter
ValueCountFrequency (%)
A 36
 
11.6%
C 26
 
8.4%
E 22
 
7.1%
M 20
 
6.5%
O 20
 
6.5%
S 19
 
6.1%
R 16
 
5.2%
T 16
 
5.2%
K 16
 
5.2%
D 13
 
4.2%
Other values (13) 106
34.2%
Decimal Number
ValueCountFrequency (%)
1 54
17.1%
2 50
15.9%
0 39
12.4%
9 37
11.7%
8 33
10.5%
3 27
8.6%
4 25
7.9%
5 18
 
5.7%
7 16
 
5.1%
6 16
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1077
53.0%
/ 847
41.7%
: 90
 
4.4%
% 12
 
0.6%
? 5
 
0.2%
Other Letter
ValueCountFrequency (%)
정 9460
25.0%
보 9460
25.0%
없 9460
25.0%
음 9460
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37840
71.3%
Latin 12824
 
24.2%
Common 2376
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1728
13.5%
w 1314
 
10.2%
c 1115
 
8.7%
a 1009
 
7.9%
e 943
 
7.4%
k 730
 
5.7%
m 709
 
5.5%
b 543
 
4.2%
f 542
 
4.2%
r 537
 
4.2%
Other values (39) 3654
28.5%
Common
ValueCountFrequency (%)
. 1077
45.3%
/ 847
35.6%
: 90
 
3.8%
1 54
 
2.3%
2 50
 
2.1%
0 39
 
1.6%
9 37
 
1.6%
8 33
 
1.4%
3 27
 
1.1%
4 25
 
1.1%
Other values (8) 97
 
4.1%
Hangul
ValueCountFrequency (%)
정 9460
25.0%
보 9460
25.0%
없 9460
25.0%
음 9460
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37840
71.3%
ASCII 15200
28.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 9460
25.0%
보 9460
25.0%
없 9460
25.0%
음 9460
25.0%
ASCII
ValueCountFrequency (%)
o 1728
 
11.4%
w 1314
 
8.6%
c 1115
 
7.3%
. 1077
 
7.1%
a 1009
 
6.6%
e 943
 
6.2%
/ 847
 
5.6%
k 730
 
4.8%
m 709
 
4.7%
b 543
 
3.6%
Other values (57) 5185
34.1%

인스타 주소
Text

Distinct774
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:26.476759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length4
Mean length6.4375
Min length4

Characters and Unicode

Total characters64375
Distinct characters57
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

Unique736 ?
Unique (%)7.4%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 9173
91.7%
www.instagram.com/hallyeohaesang_national_park 5
 
< 0.1%
www.instagram.com/mmcakorea 5
 
< 0.1%
www.instagram.com/bluelinepark 4
 
< 0.1%
http://instagram.com/bexco_busan 4
 
< 0.1%
www.instagram.com/sejongcenter 4
 
< 0.1%
www.instagram.com/letsrunpark_official 3
 
< 0.1%
www.instagram.com/kintex_korea/?hl=ko 3
 
< 0.1%
www.instagram.com/lotteskyhill.official 3
 
< 0.1%
www.instagram.com/ntckall 3
 
< 0.1%
Other values (760) 793
 
7.9%
2023-12-12T23:46:26.895835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 9173
14.2%
없 9173
14.2%
음 9173
14.2%
보 9173
14.2%
a 2724
 
4.2%
w 2524
 
3.9%
m 2193
 
3.4%
. 1721
 
2.7%
/ 1690
 
2.6%
o 1632
 
2.5%
Other values (47) 15199
23.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36692
57.0%
Lowercase Letter 23294
36.2%
Other Punctuation 3532
 
5.5%
Connector Punctuation 543
 
0.8%
Decimal Number 249
 
0.4%
Math Symbol 35
 
0.1%
Uppercase Letter 30
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2724
11.7%
w 2524
10.8%
m 2193
 
9.4%
o 1632
 
7.0%
n 1562
 
6.7%
t 1456
 
6.3%
s 1452
 
6.2%
r 1426
 
6.1%
i 1405
 
6.0%
c 1263
 
5.4%
Other values (16) 5657
24.3%
Decimal Number
ValueCountFrequency (%)
2 53
21.3%
0 47
18.9%
1 41
16.5%
9 23
9.2%
4 19
 
7.6%
3 17
 
6.8%
5 14
 
5.6%
6 12
 
4.8%
7 12
 
4.8%
8 11
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
M 8
26.7%
Y 6
20.0%
A 4
13.3%
T 3
 
10.0%
D 3
 
10.0%
W 2
 
6.7%
I 1
 
3.3%
C 1
 
3.3%
S 1
 
3.3%
P 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 1721
48.7%
/ 1690
47.8%
: 84
 
2.4%
? 35
 
1.0%
% 2
 
0.1%
Other Letter
ValueCountFrequency (%)
정 9173
25.0%
없 9173
25.0%
음 9173
25.0%
보 9173
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 543
100.0%
Math Symbol
ValueCountFrequency (%)
= 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36692
57.0%
Latin 23324
36.2%
Common 4359
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2724
11.7%
w 2524
10.8%
m 2193
 
9.4%
o 1632
 
7.0%
n 1562
 
6.7%
t 1456
 
6.2%
s 1452
 
6.2%
r 1426
 
6.1%
i 1405
 
6.0%
c 1263
 
5.4%
Other values (26) 5687
24.4%
Common
ValueCountFrequency (%)
. 1721
39.5%
/ 1690
38.8%
_ 543
 
12.5%
: 84
 
1.9%
2 53
 
1.2%
0 47
 
1.1%
1 41
 
0.9%
? 35
 
0.8%
= 35
 
0.8%
9 23
 
0.5%
Other values (7) 87
 
2.0%
Hangul
ValueCountFrequency (%)
정 9173
25.0%
없 9173
25.0%
음 9173
25.0%
보 9173
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36692
57.0%
ASCII 27683
43.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 9173
25.0%
없 9173
25.0%
음 9173
25.0%
보 9173
25.0%
ASCII
ValueCountFrequency (%)
a 2724
 
9.8%
w 2524
 
9.1%
m 2193
 
7.9%
. 1721
 
6.2%
/ 1690
 
6.1%
o 1632
 
5.9%
n 1562
 
5.6%
t 1456
 
5.3%
s 1452
 
5.2%
r 1426
 
5.2%
Other values (43) 9303
33.6%

휴무일
Text

Distinct185
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:27.135338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length4
Mean length5.6855
Min length3

Characters and Unicode

Total characters56855
Distinct characters150
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)1.4%

Sample

1st row정보없음
2nd row매주 월요일, 공휴일
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 5398
35.7%
매주 2521
16.7%
월요일 1783
 
11.8%
공휴일 1609
 
10.6%
연중무휴 1389
 
9.2%
일요일 803
 
5.3%
토요일 412
 
2.7%
상시변동 251
 
1.7%
화요일 199
 
1.3%
매월 72
 
0.5%
Other values (172) 679
 
4.5%
2023-12-12T23:46:27.520778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 5775
10.2%
정 5436
9.6%
음 5406
9.5%
없 5399
9.5%
보 5399
9.5%
5124
9.0%
요 3291
 
5.8%
휴 3054
 
5.4%
매 2634
 
4.6%
주 2611
 
4.6%
Other values (140) 12726
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49408
86.9%
Space Separator 5124
 
9.0%
Other Punctuation 2141
 
3.8%
Decimal Number 148
 
0.3%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 5775
11.7%
정 5436
11.0%
음 5406
10.9%
없 5399
10.9%
보 5399
10.9%
요 3291
 
6.7%
휴 3054
 
6.2%
매 2634
 
5.3%
주 2611
 
5.3%
월 1895
 
3.8%
Other values (124) 8508
17.2%
Decimal Number
ValueCountFrequency (%)
2 41
27.7%
4 41
27.7%
1 37
25.0%
3 25
16.9%
5 2
 
1.4%
8 1
 
0.7%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 2134
99.7%
/ 3
 
0.1%
. 2
 
0.1%
· 2
 
0.1%
Space Separator
ValueCountFrequency (%)
5124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49408
86.9%
Common 7447
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 5775
11.7%
정 5436
11.0%
음 5406
10.9%
없 5399
10.9%
보 5399
10.9%
요 3291
 
6.7%
휴 3054
 
6.2%
매 2634
 
5.3%
주 2611
 
5.3%
월 1895
 
3.8%
Other values (124) 8508
17.2%
Common
ValueCountFrequency (%)
5124
68.8%
, 2134
28.7%
2 41
 
0.6%
4 41
 
0.6%
1 37
 
0.5%
3 25
 
0.3%
( 14
 
0.2%
) 14
 
0.2%
/ 3
 
< 0.1%
- 3
 
< 0.1%
Other values (6) 11
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49408
86.9%
ASCII 7445
 
13.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 5775
11.7%
정 5436
11.0%
음 5406
10.9%
없 5399
10.9%
보 5399
10.9%
요 3291
 
6.7%
휴 3054
 
6.2%
매 2634
 
5.3%
주 2611
 
5.3%
월 1895
 
3.8%
Other values (124) 8508
17.2%
ASCII
ValueCountFrequency (%)
5124
68.8%
, 2134
28.7%
2 41
 
0.6%
4 41
 
0.6%
1 37
 
0.5%
3 25
 
0.3%
( 14
 
0.2%
) 14
 
0.2%
/ 3
 
< 0.1%
- 3
 
< 0.1%
Other values (5) 9
 
0.1%
None
ValueCountFrequency (%)
· 2
100.0%

운영시간
Text

Distinct2516
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:46:27.805744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length177
Median length151
Mean length13.1089
Min length2

Characters and Unicode

Total characters131089
Distinct characters453
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2162 ?
Unique (%)21.6%

Sample

1st row09:00-18:00
2nd row10:00-18:00, 30분 전 입장 마감
3rd row10:00-18:00
4th row정보없음
5th row매일 09:00-00:00
ValueCountFrequency (%)
정보없음 4320
23.1%
09:00-18:00 957
 
5.1%
매일 593
 
3.2%
10:00-18:00 511
 
2.7%
494
 
2.6%
10:00-17:00 393
 
2.1%
평일 378
 
2.0%
00:00-24:00 311
 
1.7%
오전 272
 
1.5%
09:00-17:00 262
 
1.4%
Other values (3009) 10245
54.7%
2023-12-12T23:46:28.365989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31126
23.7%
: 13234
 
10.1%
1 9339
 
7.1%
8760
 
6.7%
- 8145
 
6.2%
음 4362
 
3.3%
정 4359
 
3.3%
보 4329
 
3.3%
없 4325
 
3.3%
9 3229
 
2.5%
Other values (443) 39881
30.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 55374
42.2%
Other Letter 40977
31.3%
Other Punctuation 15380
 
11.7%
Space Separator 8762
 
6.7%
Dash Punctuation 8145
 
6.2%
Open Punctuation 1042
 
0.8%
Close Punctuation 1036
 
0.8%
Uppercase Letter 199
 
0.2%
Lowercase Letter 128
 
0.1%
Math Symbol 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 4362
 
10.6%
정 4359
 
10.6%
보 4329
 
10.6%
없 4325
 
10.6%
일 2545
 
6.2%
월 1846
 
4.5%
시 1784
 
4.4%
매 973
 
2.4%
기 747
 
1.8%
오 711
 
1.7%
Other values (377) 14996
36.6%
Lowercase Letter
ValueCountFrequency (%)
e 24
18.8%
m 16
12.5%
f 14
10.9%
a 12
9.4%
o 10
7.8%
p 8
 
6.2%
n 7
 
5.5%
t 7
 
5.5%
u 6
 
4.7%
r 6
 
4.7%
Other values (10) 18
14.1%
Uppercase Letter
ValueCountFrequency (%)
M 60
30.2%
A 32
16.1%
P 31
15.6%
T 16
 
8.0%
E 15
 
7.5%
F 14
 
7.0%
O 12
 
6.0%
B 2
 
1.0%
N 2
 
1.0%
R 2
 
1.0%
Other values (9) 13
 
6.5%
Decimal Number
ValueCountFrequency (%)
0 31126
56.2%
1 9339
 
16.9%
9 3229
 
5.8%
2 3202
 
5.8%
8 2736
 
4.9%
3 2070
 
3.7%
7 1620
 
2.9%
6 825
 
1.5%
4 806
 
1.5%
5 421
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 13234
86.0%
, 1874
 
12.2%
/ 158
 
1.0%
. 96
 
0.6%
· 13
 
0.1%
* 4
 
< 0.1%
% 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
∼ 32
69.6%
= 12
 
26.1%
> 2
 
4.3%
Space Separator
ValueCountFrequency (%)
8760
> 99.9%
　 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1005
96.4%
[ 37
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 999
96.4%
] 37
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 8145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89785
68.5%
Hangul 40976
31.3%
Latin 327
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 4362
 
10.6%
정 4359
 
10.6%
보 4329
 
10.6%
없 4325
 
10.6%
일 2545
 
6.2%
월 1846
 
4.5%
시 1784
 
4.4%
매 973
 
2.4%
기 747
 
1.8%
오 711
 
1.7%
Other values (376) 14995
36.6%
Latin
ValueCountFrequency (%)
M 60
18.3%
A 32
 
9.8%
P 31
 
9.5%
e 24
 
7.3%
T 16
 
4.9%
m 16
 
4.9%
E 15
 
4.6%
F 14
 
4.3%
f 14
 
4.3%
O 12
 
3.7%
Other values (29) 93
28.4%
Common
ValueCountFrequency (%)
0 31126
34.7%
: 13234
14.7%
1 9339
 
10.4%
8760
 
9.8%
- 8145
 
9.1%
9 3229
 
3.6%
2 3202
 
3.6%
8 2736
 
3.0%
3 2070
 
2.3%
, 1874
 
2.1%
Other values (17) 6070
 
6.8%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90065
68.7%
Hangul 40975
31.3%
Math Operators 32
 
< 0.1%
None 15
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31126
34.6%
: 13234
14.7%
1 9339
 
10.4%
8760
 
9.7%
- 8145
 
9.0%
9 3229
 
3.6%
2 3202
 
3.6%
8 2736
 
3.0%
3 2070
 
2.3%
, 1874
 
2.1%
Other values (53) 6350
 
7.1%
Hangul
ValueCountFrequency (%)
음 4362
 
10.6%
정 4359
 
10.6%
보 4329
 
10.6%
없 4325
 
10.6%
일 2545
 
6.2%
월 1846
 
4.5%
시 1784
 
4.4%
매 973
 
2.4%
기 747
 
1.8%
오 711
 
1.7%
Other values (375) 14994
36.6%
Math Operators
ValueCountFrequency (%)
∼ 32
100.0%
None
ValueCountFrequency (%)
· 13
86.7%
　 2
 
13.3%
CJK
ValueCountFrequency (%)
人 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

무료주차 가능여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무료주차 가능
5569 
무료주차 불가
4431 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료주차 가능
2nd row무료주차 가능
3rd row무료주차 가능
4th row무료주차 가능
5th row무료주차 가능

Common Values

ValueCountFrequency (%)
무료주차 가능 5569
55.7%
무료주차 불가 4431
44.3%

Length

2023-12-12T23:46:28.530340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:28.642522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료주차 10000
50.0%
가능 5569
27.8%
불가 4431
22.2%

유료주차 가능여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유료주차 불가
8367 
유료주차 가능
1633 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유료주차 불가
2nd row유료주차 불가
3rd row유료주차 불가
4th row유료주차 불가
5th row유료주차 불가

Common Values

ValueCountFrequency (%)
유료주차 불가 8367
83.7%
유료주차 가능 1633
 
16.3%

Length

2023-12-12T23:46:28.788898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:28.915236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료주차 10000
50.0%
불가 8367
41.8%
가능 1633
 
8.2%

입장료 유무 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
입장료 무료
6553 
입장료 유료
3447 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입장료 유료
2nd row입장료 무료
3rd row입장료 유료
4th row입장료 무료
5th row입장료 유료

Common Values

ValueCountFrequency (%)
입장료 무료 6553
65.5%
입장료 유료 3447
34.5%

Length

2023-12-12T23:46:29.051648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:29.165705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입장료 10000
50.0%
무료 6553
32.8%
유료 3447
 
17.2%

장애인용 출입문
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
장애인용 출입문 없음
5471 
장애인용 출입문 있음
4529 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인용 출입문 없음
2nd row장애인용 출입문 있음
3rd row장애인용 출입문 있음
4th row장애인용 출입문 있음
5th row장애인용 출입문 없음

Common Values

ValueCountFrequency (%)
장애인용 출입문 없음 5471
54.7%
장애인용 출입문 있음 4529
45.3%

Length

2023-12-12T23:46:29.286835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:29.379585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인용 10000
33.3%
출입문 10000
33.3%
없음 5471
18.2%
있음 4529
15.1%

휠체어 대여 가능 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
휠체어 대여 불가
8608 
휠체어 대여 가능
1392 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휠체어 대여 가능
2nd row휠체어 대여 가능
3rd row휠체어 대여 불가
4th row휠체어 대여 불가
5th row휠체어 대여 불가

Common Values

ValueCountFrequency (%)
휠체어 대여 불가 8608
86.1%
휠체어 대여 가능 1392
 
13.9%

Length

2023-12-12T23:46:29.498167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:29.602034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휠체어 10000
33.3%
대여 10000
33.3%
불가 8608
28.7%
가능 1392
 
4.6%

장애인 화장실 유무
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
장애인 화장실 없음
6785 
장애인 화장실 있음
3215 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장애인 화장실 없음 6785
67.8%
장애인 화장실 있음 3215
32.1%

Length

2023-12-12T23:46:29.712317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:29.806471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인 10000
33.3%
화장실 10000
33.3%
없음 6785
22.6%
있음 3215
 
10.7%

장애인 전용 주차장 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
장애인 주차구역 없음
5823 
장애인 주차구역 있음
4177 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장애인 주차구역 없음 5823
58.2%
장애인 주차구역 있음 4177
41.8%

Length

2023-12-12T23:46:29.907269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:29.998423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인 10000
33.3%
주차구역 10000
33.3%
없음 5823
19.4%
있음 4177
13.9%

대형주차장 가능여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대형차 주차 불가
6984 
대형차 주차 가능
3016 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대형차 주차 불가
2nd row대형차 주차 가능
3rd row대형차 주차 불가
4th row대형차 주차 가능
5th row대형차 주차 불가

Common Values

ValueCountFrequency (%)
대형차 주차 불가 6984
69.8%
대형차 주차 가능 3016
30.2%

Length

2023-12-12T23:46:30.100630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:30.188618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대형차 10000
33.3%
주차 10000
33.3%
불가 6984
23.3%
가능 3016
 
10.1%

시각장애인 안내견 동반 가능 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시각장애인 안내견 동반 불가
5226 
시각장애인 안내견 동반 가능
4774 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시각장애인 안내견 동반 불가
2nd row시각장애인 안내견 동반 불가
3rd row시각장애인 안내견 동반 불가
4th row시각장애인 안내견 동반 가능
5th row시각장애인 안내견 동반 가능

Common Values

ValueCountFrequency (%)
시각장애인 안내견 동반 불가 5226
52.3%
시각장애인 안내견 동반 가능 4774
47.7%

Length

2023-12-12T23:46:30.314572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:30.415216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시각장애인 10000
25.0%
안내견 10000
25.0%
동반 10000
25.0%
불가 5226
13.1%
가능 4774
11.9%

점자 가이드 여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
장애인 안내 점자 없음
7712 
장애인 안내 점자 있음
2288 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장애인 안내 점자 없음 7712
77.1%
장애인 안내 점자 있음 2288
 
22.9%

Length

2023-12-12T23:46:30.551706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:30.678333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인 10000
25.0%
안내 10000
25.0%
점자 10000
25.0%
없음 7712
19.3%
있음 2288
 
5.7%

오디오 가이드(한국어)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
오디오 가이드 없음(한국어)
8495 
오디오 가이드 있음(한국어)
1505 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row오디오 가이드 없음(한국어)
2nd row오디오 가이드 있음(한국어)
3rd row오디오 가이드 없음(한국어)
4th row오디오 가이드 있음(한국어)
5th row오디오 가이드 있음(한국어)

Common Values

ValueCountFrequency (%)
오디오 가이드 없음(한국어) 8495
85.0%
오디오 가이드 있음(한국어) 1505
 
15.0%

Length

2023-12-12T23:46:30.787052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:30.878098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오디오 10000
33.3%
가이드 10000
33.3%
없음(한국어 8495
28.3%
있음(한국어 1505
 
5.0%

최종작성일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-11-25 00:00:00
Maximum2022-11-25 00:00:00
2023-12-12T23:46:30.964960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:31.075586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시설명분점명카테고리1카테고리2카테고리3시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호홈페이지블로그 주소페이스북 주소인스타 주소휴무일운영시간무료주차 가능여부유료주차 가능여부입장료 유무 여부장애인용 출입문휠체어 대여 가능 여부장애인 화장실 유무장애인 전용 주차장 여부대형주차장 가능여부시각장애인 안내견 동반 가능 여부점자 가이드 여부오디오 가이드(한국어)최종작성일
11697함평엑스포공원<NA>레저/체육/공원공원대형시민/도심공원전라남도함평군함평읍수호리1153-1 번지곤재로27 번35.056189126.51994957143전라남도 함평군 함평읍 곤재로 27전라남도 함평군 함평읍 수호리 1153-1061-320-2213www.hampyeong.go.kr/expopark/정보없음정보없음정보없음정보없음09:00-18:00무료주차 가능유료주차 불가입장료 유료장애인용 출입문 없음휠체어 대여 가능장애인 화장실 있음장애인 주차구역 있음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
6885알천미술관<NA>전시/공연전시/기념관미술관경상북도경주시황성동<NA>988 번지알천북로1 번35.862356129.20599638089경상북도 경주시 알천북로 1경상북도 경주시 황성동 988054-777-5822www.garts.kr정보없음정보없음정보없음매주 월요일, 공휴일10:00-18:00, 30분 전 입장 마감무료주차 가능유료주차 불가입장료 무료장애인용 출입문 있음휠체어 대여 가능장애인 화장실 있음장애인 주차구역 있음대형차 주차 가능시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 있음(한국어)2022-11-25
10491캐릭파크<NA>문화관광/명소관광지일반유원지/일반놀이공원제주특별자치도제주시조천읍선흘리2019-3 번지선교로266 번33.479277126.70053363341제주특별자치도 제주시 조천읍 선교로 266제주특별자치도 제주시 조천읍 선흘리 2019-3<NA>정보없음정보없음정보없음정보없음정보없음10:00-18:00무료주차 가능유료주차 불가입장료 유료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
7283여주문화원<NA>전시/공연영화/연극/공연공연/연극/문화센터경기도여주시천송동<NA>553 번지신륵사길6-6 번37.300185127.65235112636경기도 여주시 신륵사길 6-6경기도 여주시 천송동 553031-883-3450www.yeojucc.co.kr/정보없음정보없음정보없음정보없음정보없음무료주차 가능유료주차 불가입장료 무료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 있음장애인 주차구역 있음대형차 주차 가능시각장애인 안내견 동반 가능장애인 안내 점자 있음오디오 가이드 있음(한국어)2022-11-25
2417다리유원지<NA>문화관광/명소관광지일반유원지/일반놀이공원경기도가평군상면임초리59-2 번지청군로581 번37.770038127.38325912447경기도 가평군 상면 청군로 581경기도 가평군 상면 임초리 59-20507-1414-6062www.cpminbak.co.kr/dari/정보없음정보없음정보없음정보없음매일 09:00-00:00무료주차 가능유료주차 불가입장료 유료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 가능장애인 안내 점자 없음오디오 가이드 있음(한국어)2022-11-25
11880현대모터스튜디오서울전시/공연전시/기념관기타전시/박물관서울특별시강남구논현동<NA>91 번지언주로738 번37.521276127.0343696054서울특별시 강남구 언주로 738서울특별시 강남구 논현동 911899-6611motorstudio.hyundai.com/seoul/ln/main.do?strgCd=02정보없음정보없음정보없음정보없음시설별 상이무료주차 가능유료주차 불가입장료 무료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 있음장애인 주차구역 있음대형차 주차 불가시각장애인 안내견 동반 가능장애인 안내 점자 있음오디오 가이드 없음(한국어)2022-11-25
11828향가유원지<NA>문화관광/명소관광지일반유원지/일반놀이공원전라북도순창군풍산면대가리1-1 번지향가로583-43 번35.339537127.19335856056전라북도 순창군 풍산면 향가로 583-43전라북도 순창군 풍산면 대가리 1-1<NA>정보없음정보없음정보없음정보없음정보없음정보없음무료주차 가능유료주차 불가입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
7553예섬<NA>전시/공연전시/기념관기타전시/박물관경기도파주시탄현면법흥리1652-463 번지헤이리마을길48-78 번37.787098126.70046210859경기도 파주시 탄현면 헤이리마을길 48-78경기도 파주시 탄현면 법흥리 1652-463<NA>정보없음정보없음정보없음정보없음정보없음정보없음무료주차 불가유료주차 불가입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
12355IT전래동화인성체험관<NA>전시/공연전시/기념관기타전시/박물관경기도이천시단월동<NA>336-4 번지단월로81 번37.225895127.4500617400경기도 이천시 단월로 81경기도 이천시 단월동 336-4031-637-8550정보없음정보없음정보없음정보없음매주 일요일09:30-18:00무료주차 가능유료주차 불가입장료 유료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
2962독도영상관<NA>전시/공연전시/기념관기타전시/박물관경상북도울릉군울릉읍도동리581-1 번지약수터길99 번37.483029130.90015140225경상북도 울릉군 울릉읍 약수터길 99경상북도 울릉군 울릉읍 도동리 581-1054-790-6592www.dokdomuseum.go.kr/ko/page.do?mnu_uid=355&정보없음정보없음정보없음정보없음09:00-18:00무료주차 가능유료주차 불가입장료 무료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 있음(한국어)2022-11-25
시설명분점명카테고리1카테고리2카테고리3시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호홈페이지블로그 주소페이스북 주소인스타 주소휴무일운영시간무료주차 가능여부유료주차 가능여부입장료 유무 여부장애인용 출입문휠체어 대여 가능 여부장애인 화장실 유무장애인 전용 주차장 여부대형주차장 가능여부시각장애인 안내견 동반 가능 여부점자 가이드 여부오디오 가이드(한국어)최종작성일
10275최금미술관<NA>전시/공연전시/기념관미술관경기도평택시장안동<NA>431-2 번지장안웃길22-26 번37.062162127.07690517731경기도 평택시 장안웃길 22-26경기도 평택시 장안동 431-2<NA>www.최금갤러리.com/blog.naver.com/benji94정보없음instagram.com/mnemoroom정보없음정보없음무료주차 가능유료주차 불가입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 가능장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
10571쿠무다콘서트홀<NA>전시/공연영화/연극/공연N부산광역시해운대구송정동<NA>436-4 번지송정광어골로41 번35.177435129.19717748073부산광역시 해운대구 송정광어골로 41부산광역시 해운대구 송정동 436-4051-702-1300kumuda.co.kr/reserve/page05.html정보없음정보없음정보없음정보없음정보없음무료주차 가능유료주차 가능입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 있음대형차 주차 불가시각장애인 안내견 동반 가능장애인 안내 점자 있음오디오 가이드 없음(한국어)2022-11-25
9749지훈문학관<NA>전시/공연전시/기념관기타전시/박물관경상북도영양군일월면주곡리222 번지주실길55 번36.718683129.10254936514경상북도 영양군 일월면 주실길 55경상북도 영양군 일월면 주곡리 222054-682-7763www.yyg.go.kr/jihun/정보없음정보없음정보없음매주 월요일, 공휴일매일 09:00-18:00 하절기 3월-10월, 매일 09:00-17:00 동절기 11월-2월무료주차 가능유료주차 불가입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 있음장애인 주차구역 있음대형차 주차 가능시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
3631맹대유원지<NA>문화관광/명소관광지일반유원지/일반놀이공원강원도화천군사내면광덕리514 번지포화로698 번38.075615127.49005324150강원도 화천군 사내면 포화로 698강원도 화천군 사내면 광덕리 514033-442-1211정보없음정보없음정보없음정보없음정보없음정보없음무료주차 가능유료주차 불가입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
5533선장축구장<NA>레저/체육/공원대형체육시설지역축구장충청남도아산시선장면군덕리21-8 번지삼봉로118 번36.77802126.86979131546충청남도 아산시 선장면 삼봉로 118충청남도 아산시 선장면 군덕리 21-8041-590-0924정보없음정보없음정보없음정보없음정보없음정보없음무료주차 가능유료주차 불가입장료 유료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 가능장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
11041포천백운계곡동장군축제눈썰매장<NA>레저/체육/공원대형레저시설눈썰매장경기도포천시이동면도평리720 번지화동로2498 번38.063414127.38784711110경기도 포천시 이동면 화동로 2498경기도 포천시 이동면 도평리 720031-535-7242www.dongjangkun.co.kr/main/index.html정보없음정보없음정보없음정보없음09:00-17:00무료주차 가능유료주차 불가입장료 유료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
7787옥포대첩기념공원옥포대첩기념관<NA>전시/공연전시/기념관기타전시/박물관경상남도거제시옥포동<NA>산 1-1 번지팔랑포2길87 번34.902196128.71405953214경상남도 거제시 팔랑포2길 87경상남도 거제시 옥포동 산 1-1<NA>www.gmdc.co.kr/_okpo/정보없음정보없음정보없음공휴일10:00-17:30무료주차 불가유료주차 불가입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
10528코리아쇼파가구전시장<NA>전시/공연전시/기념관기타전시/박물관부산광역시남구문현동<NA>323-11 번지수영로102 번35.133522129.07796648458부산광역시 남구 수영로 102부산광역시 남구 문현동 323-11051-646-3088정보없음정보없음정보없음정보없음매주 일요일, 공휴일평일 9:00-19:00, 토요일 10:00-19:00무료주차 불가유료주차 불가입장료 무료장애인용 출입문 없음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 불가시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
2731대정생활야구장<NA>레저/체육/공원대형체육시설지역야구장제주특별자치도서귀포시대정읍안성리43 번지<NA><NA>33.270253126.29268863520<NA>제주특별자치도 서귀포시 대정읍 안성리 43<NA>정보없음정보없음정보없음정보없음정보없음정보없음무료주차 가능유료주차 불가입장료 유료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 없음대형차 주차 가능시각장애인 안내견 동반 불가장애인 안내 점자 없음오디오 가이드 없음(한국어)2022-11-25
9850진해예술촌<NA>전시/공연전시/기념관기타전시/박물관경상남도창원시 진해구태백동<NA>98 번지진해대로325 번35.169583128.65946451578경상남도 창원시 진해구 진해대로 325경상남도 창원시 진해구 태백동 98055-545-0250정보없음blog.naver.com/jhartvil정보없음정보없음매주 월요일10:00-17:00무료주차 가능유료주차 불가입장료 무료장애인용 출입문 있음휠체어 대여 불가장애인 화장실 없음장애인 주차구역 있음대형차 주차 가능시각장애인 안내견 동반 가능장애인 안내 점자 있음오디오 가이드 있음(한국어)2022-11-25