Overview

Dataset statistics

Number of variables34
Number of observations100
Missing cells730
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory278.3 B

Variable types

Text16
Categorical5
Numeric4
Boolean9

Alerts

last_updt_de has constant value ""Constant
engl_vic_guid_at is highly imbalanced (80.6%)Imbalance
etc_vic_guid_at is highly imbalanced (91.9%)Imbalance
engl_fclty_guid_booklet_at is highly imbalanced (53.1%)Imbalance
etc_fclty_guid_booklet_at is highly imbalanced (80.6%)Imbalance
mrhst_nm has 98 (98.0%) missing valuesMissing
legaldong_nm has 4 (4.0%) missing valuesMissing
li_nm has 60 (60.0%) missing valuesMissing
lnbr_no has 5 (5.0%) missing valuesMissing
road_nm has 22 (22.0%) missing valuesMissing
buld_no has 22 (22.0%) missing valuesMissing
zip_no has 9 (9.0%) missing valuesMissing
rdnmadr_nm has 22 (22.0%) missing valuesMissing
tel_no has 37 (37.0%) missing valuesMissing
hmpg_url has 51 (51.0%) missing valuesMissing
blog_url has 97 (97.0%) missing valuesMissing
facebook_url has 94 (94.0%) missing valuesMissing
instgrm_url has 91 (91.0%) missing valuesMissing
rstde_guid_cn has 63 (63.0%) missing valuesMissing
oper_time has 55 (55.0%) missing valuesMissing
fclty_nm has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:49:42.296878
Analysis finished2023-12-10 09:49:44.160354
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

fclty_nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:49:44.554758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.84
Min length2

Characters and Unicode

Total characters784
Distinct characters195
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

Unique100 ?
Unique (%)100.0%

Sample

1st row001스테이지
2nd rowYGKPOP클러스터(2023년3월예정)
3rd row1004섬수석미술관
4th row148아트스퀘어
5th row153가족캠프
ValueCountFrequency (%)
001스테이지 1
 
1.0%
ygkpop클러스터(2023년3월예정 1
 
1.0%
가마섬 1
 
1.0%
가마미해수욕장 1
 
1.0%
가마기산성 1
 
1.0%
가마골소극장 1
 
1.0%
가리역터 1
 
1.0%
가리산자연휴양림 1
 
1.0%
가람화랑 1
 
1.0%
가람유원지 1
 
1.0%
Other values (93) 93
90.3%
2023-12-10T18:49:45.464534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 47
 
6.0%
관 27
 
3.4%
1 27
 
3.4%
3 25
 
3.2%
아 19
 
2.4%
2 18
 
2.3%
. 16
 
2.0%
5 16
 
2.0%
0 15
 
1.9%
트 14
 
1.8%
Other values (185) 560
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 570
72.7%
Decimal Number 143
 
18.2%
Uppercase Letter 46
 
5.9%
Other Punctuation 16
 
2.0%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 47
 
8.2%
관 27
 
4.7%
아 19
 
3.3%
트 14
 
2.5%
기 14
 
2.5%
터 13
 
2.3%
산 13
 
2.3%
화 12
 
2.1%
지 12
 
2.1%
스 10
 
1.8%
Other values (154) 389
68.2%
Uppercase Letter
ValueCountFrequency (%)
S 5
10.9%
E 5
10.9%
D 5
10.9%
M 4
8.7%
U 4
8.7%
C 4
8.7%
P 4
8.7%
Y 3
 
6.5%
A 2
 
4.3%
R 2
 
4.3%
Other values (7) 8
17.4%
Decimal Number
ValueCountFrequency (%)
1 27
18.9%
3 25
17.5%
2 18
12.6%
5 16
11.2%
0 15
10.5%
6 10
 
7.0%
8 10
 
7.0%
4 9
 
6.3%
7 7
 
4.9%
9 6
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 570
72.7%
Common 168
 
21.4%
Latin 46
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 47
 
8.2%
관 27
 
4.7%
아 19
 
3.3%
트 14
 
2.5%
기 14
 
2.5%
터 13
 
2.3%
산 13
 
2.3%
화 12
 
2.1%
지 12
 
2.1%
스 10
 
1.8%
Other values (154) 389
68.2%
Latin
ValueCountFrequency (%)
S 5
10.9%
E 5
10.9%
D 5
10.9%
M 4
8.7%
U 4
8.7%
C 4
8.7%
P 4
8.7%
Y 3
 
6.5%
A 2
 
4.3%
R 2
 
4.3%
Other values (7) 8
17.4%
Common
ValueCountFrequency (%)
1 27
16.1%
3 25
14.9%
2 18
10.7%
. 16
9.5%
5 16
9.5%
0 15
8.9%
6 10
 
6.0%
8 10
 
6.0%
4 9
 
5.4%
7 7
 
4.2%
Other values (4) 15
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 570
72.7%
ASCII 214
 
27.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 47
 
8.2%
관 27
 
4.7%
아 19
 
3.3%
트 14
 
2.5%
기 14
 
2.5%
터 13
 
2.3%
산 13
 
2.3%
화 12
 
2.1%
지 12
 
2.1%
스 10
 
1.8%
Other values (154) 389
68.2%
ASCII
ValueCountFrequency (%)
1 27
12.6%
3 25
11.7%
2 18
 
8.4%
. 16
 
7.5%
5 16
 
7.5%
0 15
 
7.0%
6 10
 
4.7%
8 10
 
4.7%
4 9
 
4.2%
7 7
 
3.3%
Other values (21) 61
28.5%

mrhst_nm
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T18:49:45.729950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Characters and Unicode

Total characters9
Distinct characters9
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

Unique2 ?
Unique (%)100.0%

Sample

1st row63빌딩점
2nd row스튜디오
ValueCountFrequency (%)
63빌딩점 1
50.0%
스튜디오 1
50.0%
2023-12-10T18:49:46.147618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 1
11.1%
3 1
11.1%
빌 1
11.1%
딩 1
11.1%
점 1
11.1%
스 1
11.1%
튜 1
11.1%
디 1
11.1%
오 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
77.8%
Decimal Number 2
 
22.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 1
14.3%
딩 1
14.3%
점 1
14.3%
스 1
14.3%
튜 1
14.3%
디 1
14.3%
오 1
14.3%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
3 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
77.8%
Common 2
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 1
14.3%
딩 1
14.3%
점 1
14.3%
스 1
14.3%
튜 1
14.3%
디 1
14.3%
오 1
14.3%
Common
ValueCountFrequency (%)
6 1
50.0%
3 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
77.8%
ASCII 2
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 1
50.0%
3 1
50.0%
Hangul
ValueCountFrequency (%)
빌 1
14.3%
딩 1
14.3%
점 1
14.3%
스 1
14.3%
튜 1
14.3%
디 1
14.3%
오 1
14.3%

ctgry_one_nm
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전시/공연
70 
문화관광/명소
30 

Length

Max length7
Median length5
Mean length5.6
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전시/공연 70
70.0%
문화관광/명소 30
30.0%

Length

2023-12-10T18:49:46.817817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:47.016971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전시/공연 70
70.0%
문화관광/명소 30
30.0%

ctgry_two_nm
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전시/기념관
46 
관광지
27 
영화/연극/공연
24 
명승지
 
3

Length

Max length8
Median length6
Mean length5.58
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전시/기념관 46
46.0%
관광지 27
27.0%
영화/연극/공연 24
24.0%
명승지 3
 
3.0%

Length

2023-12-10T18:49:47.237144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:47.475502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전시/기념관 46
46.0%
관광지 27
27.0%
영화/연극/공연 24
24.0%
명승지 3
 
3.0%

ctgry_three_nm
Categorical

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
기타전시/박물관
30 
공연/연극/문화센터
18 
미술관
10 
대형기념관/묘역
6 
해수욕장
5 
Other values (14)
31 

Length

Max length12
Median length11
Mean length7.54
Min length2

Unique

Unique6 ?
Unique (%)6.0%

Sample

1st row공연/연극/문화센터
2nd row공연/연극/문화센터
3rd row기타전시/박물관
4th row공연/연극/문화센터
5th row카페/공간대여

Common Values

ValueCountFrequency (%)
기타전시/박물관 30
30.0%
공연/연극/문화센터 18
18.0%
미술관 10
 
10.0%
대형기념관/묘역 6
 
6.0%
해수욕장 5
 
5.0%
일반유원지/일반놀이공원 5
 
5.0%
관람/체험관 5
 
5.0%
아쿠아리움/대형수족관 3
 
3.0%
테마공원/대형놀이공원 3
 
3.0%
성/성터 3
 
3.0%
Other values (9) 12
 
12.0%

Length

2023-12-10T18:49:47.718679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타전시/박물관 30
30.0%
공연/연극/문화센터 18
18.0%
미술관 10
 
10.0%
대형기념관/묘역 6
 
6.0%
해수욕장 5
 
5.0%
일반유원지/일반놀이공원 5
 
5.0%
관람/체험관 5
 
5.0%
테마공원/대형놀이공원 3
 
3.0%
성/성터 3
 
3.0%
아쿠아리움/대형수족관 3
 
3.0%
Other values (9) 12
 
12.0%

ctprvn_nm
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경기도
26 
서울특별시
18 
전라남도
10 
경상남도
9 
경상북도
7 
Other values (7)
30 

Length

Max length7
Median length5
Mean length4.15
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 26
26.0%
서울특별시 18
18.0%
전라남도 10
 
10.0%
경상남도 9
 
9.0%
경상북도 7
 
7.0%
부산광역시 7
 
7.0%
광주광역시 6
 
6.0%
충청북도 5
 
5.0%
강원도 4
 
4.0%
제주특별자치도 4
 
4.0%
Other values (2) 4
 
4.0%

Length

2023-12-10T18:49:48.014108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 26
26.0%
서울특별시 18
18.0%
전라남도 10
 
10.0%
경상남도 9
 
9.0%
경상북도 7
 
7.0%
부산광역시 7
 
7.0%
광주광역시 6
 
6.0%
충청북도 5
 
5.0%
강원도 4
 
4.0%
제주특별자치도 4
 
4.0%
Other values (2) 4
 
4.0%

signgu_nm
Text

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:49:48.480520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.68
Min length2

Characters and Unicode

Total characters368
Distinct characters78
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

Unique51 ?
Unique (%)51.0%

Sample

1st row종로구
2nd row의정부시
3rd row신안군
4th row영주시
5th row과천시
ValueCountFrequency (%)
종로구 5
 
4.3%
파주시 5
 
4.3%
고양시 5
 
4.3%
동구 3
 
2.6%
서구 3
 
2.6%
서귀포시 3
 
2.6%
서대문구 3
 
2.6%
중구 3
 
2.6%
일산서구 3
 
2.6%
양주시 3
 
2.6%
Other values (64) 79
68.7%
2023-12-10T18:49:49.250297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 48
 
13.0%
시 48
 
13.0%
군 20
 
5.4%
주 16
 
4.3%
15
 
4.1%
산 13
 
3.5%
서 13
 
3.5%
포 12
 
3.3%
양 10
 
2.7%
고 7
 
1.9%
Other values (68) 166
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
95.9%
Space Separator 15
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 48
 
13.6%
시 48
 
13.6%
군 20
 
5.7%
주 16
 
4.5%
산 13
 
3.7%
서 13
 
3.7%
포 12
 
3.4%
양 10
 
2.8%
고 7
 
2.0%
동 7
 
2.0%
Other values (67) 159
45.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
95.9%
Common 15
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 48
 
13.6%
시 48
 
13.6%
군 20
 
5.7%
주 16
 
4.5%
산 13
 
3.7%
서 13
 
3.7%
포 12
 
3.4%
양 10
 
2.8%
고 7
 
2.0%
동 7
 
2.0%
Other values (67) 159
45.0%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
95.9%
ASCII 15
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 48
 
13.6%
시 48
 
13.6%
군 20
 
5.7%
주 16
 
4.5%
산 13
 
3.7%
서 13
 
3.7%
포 12
 
3.4%
양 10
 
2.8%
고 7
 
2.0%
동 7
 
2.0%
Other values (67) 159
45.0%
ASCII
ValueCountFrequency (%)
15
100.0%

legaldong_nm
Text

MISSING 

Distinct84
Distinct (%)87.5%
Missing4
Missing (%)4.0%
Memory size932.0 B
2023-12-10T18:49:49.699156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.96875
Min length2

Characters and Unicode

Total characters285
Distinct characters98
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)78.1%

Sample

1st row동숭동
2nd row산곡동
3rd row자은면
4th row휴천동
5th row중앙동
ValueCountFrequency (%)
장흥면 3
 
3.1%
탄현면 3
 
3.1%
표선면 3
 
3.1%
서교동 2
 
2.1%
여의도동 2
 
2.1%
중앙동 2
 
2.1%
쌍촌동 2
 
2.1%
충장동 2
 
2.1%
대화동 2
 
2.1%
본동 1
 
1.0%
Other values (74) 74
77.1%
2023-12-10T18:49:50.440926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 67
23.5%
면 26
 
9.1%
읍 10
 
3.5%
장 7
 
2.5%
산 7
 
2.5%
현 7
 
2.5%
성 5
 
1.8%
대 5
 
1.8%
평 4
 
1.4%
충 4
 
1.4%
Other values (88) 143
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 67
23.5%
면 26
 
9.1%
읍 10
 
3.5%
장 7
 
2.5%
산 7
 
2.5%
현 7
 
2.5%
성 5
 
1.8%
대 5
 
1.8%
평 4
 
1.4%
충 4
 
1.4%
Other values (88) 143
50.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 67
23.5%
면 26
 
9.1%
읍 10
 
3.5%
장 7
 
2.5%
산 7
 
2.5%
현 7
 
2.5%
성 5
 
1.8%
대 5
 
1.8%
평 4
 
1.4%
충 4
 
1.4%
Other values (88) 143
50.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 67
23.5%
면 26
 
9.1%
읍 10
 
3.5%
장 7
 
2.5%
산 7
 
2.5%
현 7
 
2.5%
성 5
 
1.8%
대 5
 
1.8%
평 4
 
1.4%
충 4
 
1.4%
Other values (88) 143
50.2%

li_nm
Text

MISSING 

Distinct34
Distinct (%)85.0%
Missing60
Missing (%)60.0%
Memory size932.0 B
2023-12-10T18:49:50.792479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.975
Min length2

Characters and Unicode

Total characters119
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)75.0%

Sample

1st row백산리
2nd row제암리
3rd row칠곡리
4th row대전리
5th row대신리
ValueCountFrequency (%)
일영리 3
 
7.5%
법흥리 3
 
7.5%
가시리 2
 
5.0%
가산리 2
 
5.0%
세화리 1
 
2.5%
부연리 1
 
2.5%
계마리 1
 
2.5%
현수리 1
 
2.5%
도장리 1
 
2.5%
적목리 1
 
2.5%
Other values (24) 24
60.0%
2023-12-10T18:49:51.606076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 40
33.6%
가 7
 
5.9%
산 4
 
3.4%
영 4
 
3.4%
일 3
 
2.5%
법 3
 
2.5%
흥 3
 
2.5%
시 3
 
2.5%
계 2
 
1.7%
대 2
 
1.7%
Other values (45) 48
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 40
33.6%
가 7
 
5.9%
산 4
 
3.4%
영 4
 
3.4%
일 3
 
2.5%
법 3
 
2.5%
흥 3
 
2.5%
시 3
 
2.5%
계 2
 
1.7%
대 2
 
1.7%
Other values (45) 48
40.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 40
33.6%
가 7
 
5.9%
산 4
 
3.4%
영 4
 
3.4%
일 3
 
2.5%
법 3
 
2.5%
흥 3
 
2.5%
시 3
 
2.5%
계 2
 
1.7%
대 2
 
1.7%
Other values (45) 48
40.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 40
33.6%
가 7
 
5.9%
산 4
 
3.4%
영 4
 
3.4%
일 3
 
2.5%
법 3
 
2.5%
흥 3
 
2.5%
시 3
 
2.5%
계 2
 
1.7%
대 2
 
1.7%
Other values (45) 48
40.3%

lnbr_no
Text

MISSING 

Distinct93
Distinct (%)97.9%
Missing5
Missing (%)5.0%
Memory size932.0 B
2023-12-10T18:49:52.094143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.4421053
Min length4

Characters and Unicode

Total characters707
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

Unique91 ?
Unique (%)95.8%

Sample

1st row1-115 번지
2nd row125-2 번지
3rd row633-54 번지
4th row630 번지
5th row40-7 번지
ValueCountFrequency (%)
번지 95
50.0%
60 2
 
1.1%
1268 2
 
1.1%
2339 1
 
0.5%
1-115 1
 
0.5%
555-12 1
 
0.5%
83 1
 
0.5%
18-22 1
 
0.5%
153-9 1
 
0.5%
134-1 1
 
0.5%
Other values (84) 84
44.2%
2023-12-10T18:49:52.935059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
13.4%
번 95
13.4%
지 95
13.4%
1 87
12.3%
- 67
9.5%
2 50
7.1%
3 49
6.9%
6 31
 
4.4%
5 31
 
4.4%
8 24
 
3.4%
Other values (4) 83
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 355
50.2%
Other Letter 190
26.9%
Space Separator 95
 
13.4%
Dash Punctuation 67
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 87
24.5%
2 50
14.1%
3 49
13.8%
6 31
 
8.7%
5 31
 
8.7%
8 24
 
6.8%
0 24
 
6.8%
7 23
 
6.5%
4 21
 
5.9%
9 15
 
4.2%
Other Letter
ValueCountFrequency (%)
번 95
50.0%
지 95
50.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
73.1%
Hangul 190
 
26.9%

Most frequent character per script

Common
ValueCountFrequency (%)
95
18.4%
1 87
16.8%
- 67
13.0%
2 50
9.7%
3 49
9.5%
6 31
 
6.0%
5 31
 
6.0%
8 24
 
4.6%
0 24
 
4.6%
7 23
 
4.4%
Other values (2) 36
 
7.0%
Hangul
ValueCountFrequency (%)
번 95
50.0%
지 95
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
73.1%
Hangul 190
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
18.4%
1 87
16.8%
- 67
13.0%
2 50
9.7%
3 49
9.5%
6 31
 
6.0%
5 31
 
6.0%
8 24
 
4.6%
0 24
 
4.6%
7 23
 
4.4%
Other values (2) 36
 
7.0%
Hangul
ValueCountFrequency (%)
번 95
50.0%
지 95
50.0%

road_nm
Text

MISSING 

Distinct69
Distinct (%)88.5%
Missing22
Missing (%)22.0%
Memory size932.0 B
2023-12-10T18:49:53.599470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.5128205
Min length3

Characters and Unicode

Total characters352
Distinct characters120
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

Unique62 ?
Unique (%)79.5%

Sample

1st row대학로
2nd row자은서부2길
3rd row대학로
4th row새술막길
5th row예성로
ValueCountFrequency (%)
권율로 3
 
3.8%
대학로 3
 
3.8%
킨텍스로 2
 
2.6%
금남로 2
 
2.6%
내방로 2
 
2.6%
헤이리마을길 2
 
2.6%
63로 2
 
2.6%
구마로 1
 
1.3%
평창30길 1
 
1.3%
인제로 1
 
1.3%
Other values (59) 59
75.6%
2023-12-10T18:49:54.525916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 53
 
15.1%
길 40
 
11.4%
대 10
 
2.8%
2 10
 
2.8%
1 9
 
2.6%
3 9
 
2.6%
번 8
 
2.3%
0 5
 
1.4%
중 5
 
1.4%
성 5
 
1.4%
Other values (110) 198
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
85.5%
Decimal Number 49
 
13.9%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 53
 
17.6%
길 40
 
13.3%
대 10
 
3.3%
번 8
 
2.7%
중 5
 
1.7%
성 5
 
1.7%
동 5
 
1.7%
리 5
 
1.7%
화 4
 
1.3%
안 4
 
1.3%
Other values (99) 162
53.8%
Decimal Number
ValueCountFrequency (%)
2 10
20.4%
1 9
18.4%
3 9
18.4%
0 5
10.2%
5 5
10.2%
6 4
 
8.2%
9 3
 
6.1%
4 2
 
4.1%
7 1
 
2.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
85.5%
Common 51
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 53
 
17.6%
길 40
 
13.3%
대 10
 
3.3%
번 8
 
2.7%
중 5
 
1.7%
성 5
 
1.7%
동 5
 
1.7%
리 5
 
1.7%
화 4
 
1.3%
안 4
 
1.3%
Other values (99) 162
53.8%
Common
ValueCountFrequency (%)
2 10
19.6%
1 9
17.6%
3 9
17.6%
0 5
9.8%
5 5
9.8%
6 4
 
7.8%
9 3
 
5.9%
4 2
 
3.9%
. 2
 
3.9%
7 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
85.5%
ASCII 51
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 53
 
17.6%
길 40
 
13.3%
대 10
 
3.3%
번 8
 
2.7%
중 5
 
1.7%
성 5
 
1.7%
동 5
 
1.7%
리 5
 
1.7%
화 4
 
1.3%
안 4
 
1.3%
Other values (99) 162
53.8%
ASCII
ValueCountFrequency (%)
2 10
19.6%
1 9
17.6%
3 9
17.6%
0 5
9.8%
5 5
9.8%
6 4
 
7.8%
9 3
 
5.9%
4 2
 
3.9%
. 2
 
3.9%
7 1
 
2.0%

buld_no
Text

MISSING 

Distinct71
Distinct (%)91.0%
Missing22
Missing (%)22.0%
Memory size932.0 B
2023-12-10T18:49:55.082669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.0769231
Min length1

Characters and Unicode

Total characters240
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

Unique65 ?
Unique (%)83.3%

Sample

1st row116
2nd row508-68
3rd row77
4th row10-17
5th row168
ValueCountFrequency (%)
50 3
 
3.8%
186 2
 
2.6%
19 2
 
2.6%
368 2
 
2.6%
152 2
 
2.6%
24 2
 
2.6%
139 1
 
1.3%
27-2 1
 
1.3%
453 1
 
1.3%
76 1
 
1.3%
Other values (61) 61
78.2%
2023-12-10T18:49:55.829757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 41
17.1%
5 32
13.3%
2 25
10.4%
4 21
8.8%
7 20
8.3%
8 19
7.9%
- 19
7.9%
0 18
7.5%
6 15
 
6.2%
9 15
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
92.1%
Dash Punctuation 19
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 41
18.6%
5 32
14.5%
2 25
11.3%
4 21
9.5%
7 20
9.0%
8 19
8.6%
0 18
8.1%
6 15
 
6.8%
9 15
 
6.8%
3 15
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 41
17.1%
5 32
13.3%
2 25
10.4%
4 21
8.8%
7 20
8.3%
8 19
7.9%
- 19
7.9%
0 18
7.5%
6 15
 
6.2%
9 15
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 41
17.1%
5 32
13.3%
2 25
10.4%
4 21
8.8%
7 20
8.3%
8 19
7.9%
- 19
7.9%
0 18
7.5%
6 15
 
6.2%
9 15
 
6.2%

lc_la
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.402698
Minimum33.304508
Maximum38.58408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:49:56.265984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.304508
5-th percentile34.444708
Q135.174046
median36.883322
Q337.566109
95-th percentile37.793598
Maximum38.58408
Range5.2795719
Interquartile range (IQR)2.3920633

Descriptive statistics

Standard deviation1.3144412
Coefficient of variation (CV)0.036108344
Kurtosis-0.91802165
Mean36.402698
Median Absolute Deviation (MAD)0.8711687
Skewness-0.48843444
Sum3640.2698
Variance1.7277556
MonotonicityNot monotonic
2023-12-10T18:49:56.548679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.15830536 2
 
2.0%
37.51966416 2
 
2.0%
35.12771884 1
 
1.0%
33.30450761 1
 
1.0%
37.60429952 1
 
1.0%
37.18829938 1
 
1.0%
35.40356865 1
 
1.0%
36.73478576 1
 
1.0%
35.18835625 1
 
1.0%
35.13223646 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
33.30450761 1
1.0%
33.35275982 1
1.0%
33.35360912 1
1.0%
33.39003694 1
1.0%
34.41311053 1
1.0%
34.44637135 1
1.0%
34.45491283 1
1.0%
34.68778767 1
1.0%
34.75218956 1
1.0%
34.78167689 1
1.0%
ValueCountFrequency (%)
38.58407952 1
1.0%
38.01616895 1
1.0%
37.96499735 1
1.0%
37.88897896 1
1.0%
37.86589954 1
1.0%
37.78979276 1
1.0%
37.78890931 1
1.0%
37.78106403 1
1.0%
37.72666259 1
1.0%
37.72583554 1
1.0%

lc_lo
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.48651
Minimum125.92901
Maximum129.41261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:49:56.799461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.92901
5-th percentile126.4142
Q1126.85202
median127.00198
Q3128.40729
95-th percentile129.15863
Maximum129.41261
Range3.4836047
Interquartile range (IQR)1.555262

Descriptive statistics

Standard deviation0.93191201
Coefficient of variation (CV)0.0073098874
Kurtosis-0.81349082
Mean127.48651
Median Absolute Deviation (MAD)0.3117441
Skewness0.74108668
Sum12748.651
Variance0.86845999
MonotonicityNot monotonic
2023-12-10T18:49:57.092297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8575559 2
 
2.0%
126.9399093 2
 
2.0%
129.0927865 1
 
1.0%
126.8105966 1
 
1.0%
127.3931739 1
 
1.0%
127.6841762 1
 
1.0%
126.4151537 1
 
1.0%
127.5754171 1
 
1.0%
129.0761228 1
 
1.0%
126.4931835 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
125.9290084 1
1.0%
125.9968744 1
1.0%
126.3518047 1
1.0%
126.366509 1
1.0%
126.3960266 1
1.0%
126.4151537 1
1.0%
126.4931835 1
1.0%
126.5177955 1
1.0%
126.5969277 1
1.0%
126.6765774 1
1.0%
ValueCountFrequency (%)
129.4126131 1
1.0%
129.367037 1
1.0%
129.355422 1
1.0%
129.2141335 1
1.0%
129.2132069 1
1.0%
129.1557582 1
1.0%
129.0973271 1
1.0%
129.0927865 1
1.0%
129.0761228 1
1.0%
129.0649149 1
1.0%

zip_no
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)91.2%
Missing9
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean29379.549
Minimum2878
Maximum63625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:49:57.407151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2878
5-th percentile3163.5
Q110610
median25164
Q350905
95-th percentile62186.5
Maximum63625
Range60747
Interquartile range (IQR)40295

Descriptive statistics

Standard deviation21662.478
Coefficient of variation (CV)0.73733187
Kurtosis-1.5557679
Mean29379.549
Median Absolute Deviation (MAD)17819
Skewness0.27923407
Sum2673539
Variance4.6926296 × 108
MonotonicityNot monotonic
2023-12-10T18:49:57.745986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11520 3
 
3.0%
63623 2
 
2.0%
7345 2
 
2.0%
10859 2
 
2.0%
61475 2
 
2.0%
10390 2
 
2.0%
61965 2
 
2.0%
28518 1
 
1.0%
47521 1
 
1.0%
57113 1
 
1.0%
Other values (73) 73
73.0%
(Missing) 9
 
9.0%
ValueCountFrequency (%)
2878 1
1.0%
3004 1
1.0%
3086 1
1.0%
3129 1
1.0%
3146 1
1.0%
3181 1
1.0%
3716 1
1.0%
3746 1
1.0%
3777 1
1.0%
4034 1
1.0%
ValueCountFrequency (%)
63625 1
1.0%
63623 2
2.0%
63038 1
1.0%
62408 1
1.0%
61965 2
2.0%
61955 1
1.0%
61475 2
2.0%
59723 1
1.0%
59060 1
1.0%
58831 1
1.0%

rdnmadr_nm
Text

MISSING 

Distinct76
Distinct (%)97.4%
Missing22
Missing (%)22.0%
Memory size932.0 B
2023-12-10T18:49:58.418912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length19.884615
Min length14

Characters and Unicode

Total characters1551
Distinct characters173
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

Unique74 ?
Unique (%)94.9%

Sample

1st row서울특별시 종로구 대학로 116
2nd row전라남도 신안군 자은면 자은서부2길 508-68
3rd row경상북도 영주시 대학로 77
4th row경기도 과천시 새술막길 10-17
5th row충청북도 충주시 예성로 168
ValueCountFrequency (%)
경기도 25
 
7.1%
서울특별시 17
 
4.8%
경상북도 6
 
1.7%
경상남도 6
 
1.7%
부산광역시 5
 
1.4%
고양시 5
 
1.4%
종로구 5
 
1.4%
파주시 5
 
1.4%
광주광역시 4
 
1.1%
양주시 3
 
0.9%
Other values (221) 271
77.0%
2023-12-10T18:49:59.259973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
17.7%
시 72
 
4.6%
로 60
 
3.9%
1 50
 
3.2%
도 50
 
3.2%
구 46
 
3.0%
길 40
 
2.6%
경 39
 
2.5%
5 37
 
2.4%
2 35
 
2.3%
Other values (163) 848
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 986
63.6%
Space Separator 274
 
17.7%
Decimal Number 270
 
17.4%
Dash Punctuation 19
 
1.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 72
 
7.3%
로 60
 
6.1%
도 50
 
5.1%
구 46
 
4.7%
길 40
 
4.1%
경 39
 
4.0%
서 30
 
3.0%
기 29
 
2.9%
산 22
 
2.2%
주 22
 
2.2%
Other values (150) 576
58.4%
Decimal Number
ValueCountFrequency (%)
1 50
18.5%
5 37
13.7%
2 35
13.0%
3 24
8.9%
4 23
8.5%
0 23
8.5%
7 21
7.8%
8 20
 
7.4%
6 19
 
7.0%
9 18
 
6.7%
Space Separator
ValueCountFrequency (%)
274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 986
63.6%
Common 565
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 72
 
7.3%
로 60
 
6.1%
도 50
 
5.1%
구 46
 
4.7%
길 40
 
4.1%
경 39
 
4.0%
서 30
 
3.0%
기 29
 
2.9%
산 22
 
2.2%
주 22
 
2.2%
Other values (150) 576
58.4%
Common
ValueCountFrequency (%)
274
48.5%
1 50
 
8.8%
5 37
 
6.5%
2 35
 
6.2%
3 24
 
4.2%
4 23
 
4.1%
0 23
 
4.1%
7 21
 
3.7%
8 20
 
3.5%
6 19
 
3.4%
Other values (3) 39
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 986
63.6%
ASCII 565
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
48.5%
1 50
 
8.8%
5 37
 
6.5%
2 35
 
6.2%
3 24
 
4.2%
4 23
 
4.1%
0 23
 
4.1%
7 21
 
3.7%
8 20
 
3.5%
6 19
 
3.4%
Other values (3) 39
 
6.9%
Hangul
ValueCountFrequency (%)
시 72
 
7.3%
로 60
 
6.1%
도 50
 
5.1%
구 46
 
4.7%
길 40
 
4.1%
경 39
 
4.0%
서 30
 
3.0%
기 29
 
2.9%
산 22
 
2.2%
주 22
 
2.2%
Other values (150) 576
58.4%

lnm_addr
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:49:59.840575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length20.26
Min length11

Characters and Unicode

Total characters2026
Distinct characters169
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

Unique94 ?
Unique (%)94.0%

Sample

1st row서울특별시 종로구 동숭동 1-115
2nd row경기도 의정부시 산곡동 125-2
3rd row전라남도 신안군 자은면 백산리 633-54
4th row경상북도 영주시 휴천동 630
5th row경기도 과천시 중앙동 40-7
ValueCountFrequency (%)
경기도 26
 
5.6%
서울특별시 18
 
3.8%
산 12
 
2.6%
전라남도 10
 
2.1%
경상남도 9
 
1.9%
경상북도 7
 
1.5%
부산광역시 7
 
1.5%
광주광역시 6
 
1.3%
고양시 5
 
1.1%
종로구 5
 
1.1%
Other values (293) 363
77.6%
2023-12-10T18:50:00.677862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
18.2%
1 88
 
4.3%
시 85
 
4.2%
동 76
 
3.8%
도 74
 
3.7%
- 66
 
3.3%
구 56
 
2.8%
3 54
 
2.7%
2 48
 
2.4%
경 43
 
2.1%
Other values (159) 1068
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1233
60.9%
Space Separator 368
 
18.2%
Decimal Number 359
 
17.7%
Dash Punctuation 66
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 85
 
6.9%
동 76
 
6.2%
도 74
 
6.0%
구 56
 
4.5%
경 43
 
3.5%
산 42
 
3.4%
리 38
 
3.1%
서 35
 
2.8%
남 30
 
2.4%
주 29
 
2.4%
Other values (147) 725
58.8%
Decimal Number
ValueCountFrequency (%)
1 88
24.5%
3 54
15.0%
2 48
13.4%
6 35
 
9.7%
5 30
 
8.4%
0 24
 
6.7%
8 23
 
6.4%
7 22
 
6.1%
4 21
 
5.8%
9 14
 
3.9%
Space Separator
ValueCountFrequency (%)
368
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1233
60.9%
Common 793
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 85
 
6.9%
동 76
 
6.2%
도 74
 
6.0%
구 56
 
4.5%
경 43
 
3.5%
산 42
 
3.4%
리 38
 
3.1%
서 35
 
2.8%
남 30
 
2.4%
주 29
 
2.4%
Other values (147) 725
58.8%
Common
ValueCountFrequency (%)
368
46.4%
1 88
 
11.1%
- 66
 
8.3%
3 54
 
6.8%
2 48
 
6.1%
6 35
 
4.4%
5 30
 
3.8%
0 24
 
3.0%
8 23
 
2.9%
7 22
 
2.8%
Other values (2) 35
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1233
60.9%
ASCII 793
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
46.4%
1 88
 
11.1%
- 66
 
8.3%
3 54
 
6.8%
2 48
 
6.1%
6 35
 
4.4%
5 30
 
3.8%
0 24
 
3.0%
8 23
 
2.9%
7 22
 
2.8%
Other values (2) 35
 
4.4%
Hangul
ValueCountFrequency (%)
시 85
 
6.9%
동 76
 
6.2%
도 74
 
6.0%
구 56
 
4.5%
경 43
 
3.5%
산 42
 
3.4%
리 38
 
3.1%
서 35
 
2.8%
남 30
 
2.4%
주 29
 
2.4%
Other values (147) 725
58.8%

tel_no
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)98.4%
Missing37
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean6.9388118 × 109
Minimum15772012
Maximum5.0714958 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:50:01.008426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15772012
5-th percentile18337282
Q13.1544992 × 108
median5.4290623 × 108
Q36.1545601 × 108
95-th percentile5.0713804 × 1010
Maximum5.0714958 × 1010
Range5.0699186 × 1010
Interquartile range (IQR)3.0000609 × 108

Descriptive statistics

Standard deviation1.6854791 × 1010
Coefficient of variation (CV)2.4290601
Kurtosis3.3384184
Mean6.9388118 × 109
Median Absolute Deviation (MAD)2.060796 × 108
Skewness2.2827116
Sum4.3714514 × 1011
Variance2.8408398 × 1020
MonotonicityNot monotonic
2023-12-10T18:50:01.349438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
623765197 2
 
2.0%
542906227 1
 
1.0%
542827755 1
 
1.0%
18339810 1
 
1.0%
319486677 1
 
1.0%
615406605 1
 
1.0%
50713525802 1
 
1.0%
234779923 1
 
1.0%
50714025011 1
 
1.0%
50714370500 1
 
1.0%
Other values (52) 52
52.0%
(Missing) 37
37.0%
ValueCountFrequency (%)
15772012 1
1.0%
16001602 1
1.0%
16612000 1
1.0%
18337001 1
1.0%
18339810 1
1.0%
25121029 1
1.0%
25535888 1
1.0%
27379556 1
1.0%
27440015 1
1.0%
27895663 1
1.0%
ValueCountFrequency (%)
50714957915 1
1.0%
50714370500 1
1.0%
50714025011 1
1.0%
50713835009 1
1.0%
50713525802 1
1.0%
50713478650 1
1.0%
50713326170 1
1.0%
50713313730 1
1.0%
7088071305 1
1.0%
3180824246 1
1.0%

hmpg_url
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing51
Missing (%)51.0%
Memory size932.0 B
2023-12-10T18:50:01.928949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length277
Median length49
Mean length45.938776
Min length10

Characters and Unicode

Total characters2251
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

Unique47 ?
Unique (%)95.9%

Sample

1st rowhttps://www.00ground.kr/space/reservation
2nd rowhttps://tour.shinan.go.kr/home/tour/theme_tour/theme_tour_17/theme_tour_17_02
3rd rowhttp://www.yctf.or.kr/bbs/board.php?bo_table=m203
4th row168artsquare.com
5th rowhttps://www.letsymca.or.kr/main
ValueCountFrequency (%)
https://www.gwangju.go.kr/518/contentsview.do?pageid=maycenter35 2
 
4.1%
https://www.bsjunggu.go.kr/tour/index.junggu?menucd=dom_000000208001001000&link=success&cpath=%2ftour 1
 
2.0%
http://www.jhatelier.com 1
 
2.0%
http://gaya-land.com 1
 
2.0%
https://www.ganaart.com 1
 
2.0%
https://www.gwangju.go.kr/jeonil 1
 
2.0%
https://www.abductions625.go.kr/index.do 1
 
2.0%
https://www.63art.co.kr/home/63art/main.do 1
 
2.0%
aquaplanet 1
 
2.0%
https://www.yangju.go.kr/changucchin/contents.do?key=2019 1
 
2.0%
Other values (38) 38
77.6%
2023-12-10T18:50:02.652966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 170
 
7.6%
t 163
 
7.2%
. 134
 
6.0%
o 121
 
5.4%
w 106
 
4.7%
a 101
 
4.5%
e 97
 
4.3%
r 94
 
4.2%
c 82
 
3.6%
h 81
 
3.6%
Other values (63) 1102
49.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1492
66.3%
Other Punctuation 391
 
17.4%
Decimal Number 204
 
9.1%
Uppercase Letter 117
 
5.2%
Math Symbol 27
 
1.2%
Connector Punctuation 16
 
0.7%
Other Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 163
 
10.9%
o 121
 
8.1%
w 106
 
7.1%
a 101
 
6.8%
e 97
 
6.5%
r 94
 
6.3%
c 82
 
5.5%
h 81
 
5.4%
p 75
 
5.0%
s 63
 
4.2%
Other values (16) 509
34.1%
Uppercase Letter
ValueCountFrequency (%)
C 12
 
10.3%
M 9
 
7.7%
A 7
 
6.0%
D 7
 
6.0%
J 6
 
5.1%
B 6
 
5.1%
N 6
 
5.1%
I 6
 
5.1%
E 5
 
4.3%
G 5
 
4.3%
Other values (15) 48
41.0%
Decimal Number
ValueCountFrequency (%)
0 57
27.9%
1 32
15.7%
2 30
14.7%
3 29
14.2%
8 13
 
6.4%
5 13
 
6.4%
6 12
 
5.9%
9 7
 
3.4%
4 6
 
2.9%
7 5
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 170
43.5%
. 134
34.3%
: 46
 
11.8%
& 16
 
4.1%
% 14
 
3.6%
? 11
 
2.8%
Other Letter
ValueCountFrequency (%)
원 1
33.3%
목 1
33.3%
수 1
33.3%
Math Symbol
ValueCountFrequency (%)
= 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1609
71.5%
Common 639
 
28.4%
Hangul 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 163
 
10.1%
o 121
 
7.5%
w 106
 
6.6%
a 101
 
6.3%
e 97
 
6.0%
r 94
 
5.8%
c 82
 
5.1%
h 81
 
5.0%
p 75
 
4.7%
s 63
 
3.9%
Other values (41) 626
38.9%
Common
ValueCountFrequency (%)
/ 170
26.6%
. 134
21.0%
0 57
 
8.9%
: 46
 
7.2%
1 32
 
5.0%
2 30
 
4.7%
3 29
 
4.5%
= 27
 
4.2%
& 16
 
2.5%
_ 16
 
2.5%
Other values (9) 82
12.8%
Hangul
ValueCountFrequency (%)
원 1
33.3%
목 1
33.3%
수 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2248
99.9%
Hangul 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 170
 
7.6%
t 163
 
7.3%
. 134
 
6.0%
o 121
 
5.4%
w 106
 
4.7%
a 101
 
4.5%
e 97
 
4.3%
r 94
 
4.2%
c 82
 
3.6%
h 81
 
3.6%
Other values (60) 1099
48.9%
Hangul
ValueCountFrequency (%)
원 1
33.3%
목 1
33.3%
수 1
33.3%

blog_url
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing97
Missing (%)97.0%
Memory size932.0 B
2023-12-10T18:50:02.968647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.333333
Min length33

Characters and Unicode

Total characters103
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowhttps://blog.naver.com/315_changwon
2nd rowhttps://blog.naver.com/mayfifth55
3rd rowhttps://blog.naver.com/garamgallery
ValueCountFrequency (%)
https://blog.naver.com/315_changwon 1
33.3%
https://blog.naver.com/mayfifth55 1
33.3%
https://blog.naver.com/garamgallery 1
33.3%
2023-12-10T18:50:03.610244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 9
 
8.7%
a 8
 
7.8%
o 7
 
6.8%
t 7
 
6.8%
g 6
 
5.8%
. 6
 
5.8%
h 5
 
4.9%
m 5
 
4.9%
r 5
 
4.9%
l 5
 
4.9%
Other values (16) 40
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 79
76.7%
Other Punctuation 18
 
17.5%
Decimal Number 5
 
4.9%
Connector Punctuation 1
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 8
 
10.1%
o 7
 
8.9%
t 7
 
8.9%
g 6
 
7.6%
h 5
 
6.3%
m 5
 
6.3%
r 5
 
6.3%
l 5
 
6.3%
n 5
 
6.3%
e 4
 
5.1%
Other values (9) 22
27.8%
Other Punctuation
ValueCountFrequency (%)
/ 9
50.0%
. 6
33.3%
: 3
 
16.7%
Decimal Number
ValueCountFrequency (%)
5 3
60.0%
3 1
 
20.0%
1 1
 
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 79
76.7%
Common 24
 
23.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 8
 
10.1%
o 7
 
8.9%
t 7
 
8.9%
g 6
 
7.6%
h 5
 
6.3%
m 5
 
6.3%
r 5
 
6.3%
l 5
 
6.3%
n 5
 
6.3%
e 4
 
5.1%
Other values (9) 22
27.8%
Common
ValueCountFrequency (%)
/ 9
37.5%
. 6
25.0%
5 3
 
12.5%
: 3
 
12.5%
3 1
 
4.2%
1 1
 
4.2%
_ 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 9
 
8.7%
a 8
 
7.8%
o 7
 
6.8%
t 7
 
6.8%
g 6
 
5.8%
. 6
 
5.8%
h 5
 
4.9%
m 5
 
4.9%
r 5
 
4.9%
l 5
 
4.9%
Other values (16) 40
38.8%

facebook_url
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing94
Missing (%)94.0%
Memory size932.0 B
2023-12-10T18:50:03.955238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length36.833333
Min length34

Characters and Unicode

Total characters221
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowhttps://www.facebook.com/148artsquare/
2nd rowhttps://www.facebook.com/3rdmuseum.official
3rd rowhttps://www.facebook.com/416archives
4th rowhttps://www.facebook.com/777yangju/
5th rowhttps://www.facebook.com/7pictures
ValueCountFrequency (%)
https://www.facebook.com/148artsquare 1
16.7%
https://www.facebook.com/3rdmuseum.official 1
16.7%
https://www.facebook.com/416archives 1
16.7%
https://www.facebook.com/777yangju 1
16.7%
https://www.facebook.com/7pictures 1
16.7%
http://www.facebook.com/ganaartpark 1
16.7%
2023-12-10T18:50:04.679491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 20
 
9.0%
o 19
 
8.6%
w 18
 
8.1%
a 15
 
6.8%
c 15
 
6.8%
t 15
 
6.8%
. 13
 
5.9%
e 10
 
4.5%
s 9
 
4.1%
p 8
 
3.6%
Other values (23) 79
35.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 171
77.4%
Other Punctuation 39
 
17.6%
Decimal Number 11
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 19
11.1%
w 18
 
10.5%
a 15
 
8.8%
c 15
 
8.8%
t 15
 
8.8%
e 10
 
5.8%
s 9
 
5.3%
p 8
 
4.7%
f 8
 
4.7%
m 8
 
4.7%
Other values (14) 46
26.9%
Decimal Number
ValueCountFrequency (%)
7 4
36.4%
1 2
18.2%
4 2
18.2%
3 1
 
9.1%
6 1
 
9.1%
8 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 20
51.3%
. 13
33.3%
: 6
 
15.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 171
77.4%
Common 50
 
22.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 19
11.1%
w 18
 
10.5%
a 15
 
8.8%
c 15
 
8.8%
t 15
 
8.8%
e 10
 
5.8%
s 9
 
5.3%
p 8
 
4.7%
f 8
 
4.7%
m 8
 
4.7%
Other values (14) 46
26.9%
Common
ValueCountFrequency (%)
/ 20
40.0%
. 13
26.0%
: 6
 
12.0%
7 4
 
8.0%
1 2
 
4.0%
4 2
 
4.0%
3 1
 
2.0%
6 1
 
2.0%
8 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 20
 
9.0%
o 19
 
8.6%
w 18
 
8.1%
a 15
 
6.8%
c 15
 
6.8%
t 15
 
6.8%
. 13
 
5.9%
e 10
 
4.5%
s 9
 
4.1%
p 8
 
3.6%
Other values (23) 79
35.7%

instgrm_url
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing91
Missing (%)91.0%
Memory size932.0 B
2023-12-10T18:50:05.030448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length40.666667
Min length36

Characters and Unicode

Total characters366
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowhttps://www.instagram.com/313artproject/
2nd rowhttps://www.instagram.com/thirdmuseum_official/
3rd rowhttps://www.instagram.com/aquaplanet_official/
4th rowhttps://www.instagram.com/ganaart_seoul/
5th rowhttp://www.instagram.com/ganaartpark
ValueCountFrequency (%)
https://www.instagram.com/313artproject 1
11.1%
https://www.instagram.com/thirdmuseum_official 1
11.1%
https://www.instagram.com/aquaplanet_official 1
11.1%
https://www.instagram.com/ganaart_seoul 1
11.1%
http://www.instagram.com/ganaartpark 1
11.1%
https://www.instagram.com/garamsinjak 1
11.1%
https://www.instagram.com/garamarthall 1
11.1%
https://www.instagram.com/gaon.stage 1
11.1%
https://www.instagram.com/gallerycafe_gawon 1
11.1%
2023-12-10T18:50:05.767885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 43
 
11.7%
t 35
 
9.6%
/ 34
 
9.3%
w 28
 
7.7%
m 22
 
6.0%
s 21
 
5.7%
. 19
 
5.2%
r 19
 
5.2%
g 17
 
4.6%
o 15
 
4.1%
Other values (18) 113
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 297
81.1%
Other Punctuation 62
 
16.9%
Connector Punctuation 4
 
1.1%
Decimal Number 3
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 43
14.5%
t 35
11.8%
w 28
9.4%
m 22
 
7.4%
s 21
 
7.1%
r 19
 
6.4%
g 17
 
5.7%
o 15
 
5.1%
i 15
 
5.1%
n 15
 
5.1%
Other values (12) 67
22.6%
Other Punctuation
ValueCountFrequency (%)
/ 34
54.8%
. 19
30.6%
: 9
 
14.5%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
1 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 297
81.1%
Common 69
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 43
14.5%
t 35
11.8%
w 28
9.4%
m 22
 
7.4%
s 21
 
7.1%
r 19
 
6.4%
g 17
 
5.7%
o 15
 
5.1%
i 15
 
5.1%
n 15
 
5.1%
Other values (12) 67
22.6%
Common
ValueCountFrequency (%)
/ 34
49.3%
. 19
27.5%
: 9
 
13.0%
_ 4
 
5.8%
3 2
 
2.9%
1 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 43
 
11.7%
t 35
 
9.6%
/ 34
 
9.3%
w 28
 
7.7%
m 22
 
6.0%
s 21
 
5.7%
. 19
 
5.2%
r 19
 
5.2%
g 17
 
4.6%
o 15
 
4.1%
Other values (18) 113
30.9%

rstde_guid_cn
Text

MISSING 

Distinct24
Distinct (%)64.9%
Missing63
Missing (%)63.0%
Memory size932.0 B
2023-12-10T18:50:06.422935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length14.216216
Min length1

Characters and Unicode

Total characters526
Distinct characters75
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)56.8%

Sample

1st row일 정기휴무
2nd row매주 월요일
3rd row매주 월요일, 명절 (일정이 있을 경우는 당일만, 없으면 연휴 전체)
4th row월,정기휴무 (매주 월요일)
5th row월,정기휴무 (매주 월요일)
ValueCountFrequency (%)
매주 19
 
14.3%
월요일 18
 
13.5%
연중무휴 9
 
6.8%
다음날 4
 
3.0%
공휴일 4
 
3.0%
명절 3
 
2.3%
경우 3
 
2.3%
공휴일인 3
 
2.3%
설날 3
 
2.3%
휴관 3
 
2.3%
Other values (53) 64
48.1%
2023-12-10T18:50:07.510033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
18.3%
일 61
 
11.6%
휴 35
 
6.7%
월 31
 
5.9%
요 30
 
5.7%
, 26
 
4.9%
주 21
 
4.0%
매 20
 
3.8%
무 16
 
3.0%
공 15
 
2.9%
Other values (65) 175
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
72.2%
Space Separator 96
 
18.3%
Other Punctuation 30
 
5.7%
Close Punctuation 7
 
1.3%
Open Punctuation 7
 
1.3%
Decimal Number 6
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 61
16.1%
휴 35
 
9.2%
월 31
 
8.2%
요 30
 
7.9%
주 21
 
5.5%
매 20
 
5.3%
무 16
 
4.2%
공 15
 
3.9%
연 14
 
3.7%
중 10
 
2.6%
Other values (58) 127
33.4%
Other Punctuation
ValueCountFrequency (%)
, 26
86.7%
/ 3
 
10.0%
· 1
 
3.3%
Space Separator
ValueCountFrequency (%)
96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Decimal Number
ValueCountFrequency (%)
1 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
72.2%
Common 146
 
27.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 61
16.1%
휴 35
 
9.2%
월 31
 
8.2%
요 30
 
7.9%
주 21
 
5.5%
매 20
 
5.3%
무 16
 
4.2%
공 15
 
3.9%
연 14
 
3.7%
중 10
 
2.6%
Other values (58) 127
33.4%
Common
ValueCountFrequency (%)
96
65.8%
, 26
 
17.8%
) 7
 
4.8%
( 7
 
4.8%
1 6
 
4.1%
/ 3
 
2.1%
· 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
72.1%
ASCII 145
 
27.6%
None 1
 
0.2%
Compat Jamo 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
66.2%
, 26
 
17.9%
) 7
 
4.8%
( 7
 
4.8%
1 6
 
4.1%
/ 3
 
2.1%
Hangul
ValueCountFrequency (%)
일 61
16.1%
휴 35
 
9.2%
월 31
 
8.2%
요 30
 
7.9%
주 21
 
5.5%
매 20
 
5.3%
무 16
 
4.2%
공 15
 
4.0%
연 14
 
3.7%
중 10
 
2.6%
Other values (57) 126
33.2%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

oper_time
Text

MISSING 

Distinct39
Distinct (%)86.7%
Missing55
Missing (%)55.0%
Memory size932.0 B
2023-12-10T18:50:07.933947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length79
Mean length28.466667
Min length4

Characters and Unicode

Total characters1281
Distinct characters110
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)75.6%

Sample

1st row10:00 - 19:00
2nd row10:00-17:00
3rd row09:00-18:00
4th row매일 00:00 - 24:00 개관일정별도공지
5th row00:00-24:00
ValueCountFrequency (%)
49
21.9%
10:00 17
 
7.6%
09:00 15
 
6.7%
18:00 8
 
3.6%
19:00 6
 
2.7%
입장마감 6
 
2.7%
매일 6
 
2.7%
17:00 5
 
2.2%
09:00~18:00 3
 
1.3%
09:00-18:00 3
 
1.3%
Other values (94) 106
47.3%
2023-12-10T18:50:09.143459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 320
25.0%
180
14.1%
: 140
10.9%
1 96
 
7.5%
- 40
 
3.1%
9 40
 
3.1%
, 34
 
2.7%
2 33
 
2.6%
~ 32
 
2.5%
8 24
 
1.9%
Other values (100) 342
26.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 561
43.8%
Other Letter 198
 
15.5%
Other Punctuation 182
 
14.2%
Space Separator 180
 
14.1%
Lowercase Letter 56
 
4.4%
Dash Punctuation 40
 
3.1%
Math Symbol 32
 
2.5%
Close Punctuation 12
 
0.9%
Open Punctuation 12
 
0.9%
Uppercase Letter 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 23
 
11.6%
입 11
 
5.6%
장 11
 
5.6%
월 11
 
5.6%
시 10
 
5.1%
매 9
 
4.5%
마 8
 
4.0%
감 8
 
4.0%
간 5
 
2.5%
관 5
 
2.5%
Other values (56) 97
49.0%
Lowercase Letter
ValueCountFrequency (%)
a 8
14.3%
u 6
10.7%
i 4
 
7.1%
r 4
 
7.1%
s 4
 
7.1%
d 4
 
7.1%
y 4
 
7.1%
m 4
 
7.1%
e 3
 
5.4%
o 3
 
5.4%
Other values (8) 12
21.4%
Decimal Number
ValueCountFrequency (%)
0 320
57.0%
1 96
 
17.1%
9 40
 
7.1%
2 33
 
5.9%
8 24
 
4.3%
7 19
 
3.4%
3 12
 
2.1%
5 8
 
1.4%
4 5
 
0.9%
6 4
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 140
76.9%
, 34
 
18.7%
? 4
 
2.2%
/ 2
 
1.1%
. 1
 
0.5%
※ 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
S 2
25.0%
H 2
25.0%
O 1
12.5%
E 1
12.5%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1019
79.5%
Hangul 198
 
15.5%
Latin 64
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 23
 
11.6%
입 11
 
5.6%
장 11
 
5.6%
월 11
 
5.6%
시 10
 
5.1%
매 9
 
4.5%
마 8
 
4.0%
감 8
 
4.0%
간 5
 
2.5%
관 5
 
2.5%
Other values (56) 97
49.0%
Latin
ValueCountFrequency (%)
a 8
 
12.5%
u 6
 
9.4%
i 4
 
6.2%
r 4
 
6.2%
s 4
 
6.2%
d 4
 
6.2%
y 4
 
6.2%
m 4
 
6.2%
e 3
 
4.7%
o 3
 
4.7%
Other values (13) 20
31.2%
Common
ValueCountFrequency (%)
0 320
31.4%
180
17.7%
: 140
13.7%
1 96
 
9.4%
- 40
 
3.9%
9 40
 
3.9%
, 34
 
3.3%
2 33
 
3.2%
~ 32
 
3.1%
8 24
 
2.4%
Other values (11) 80
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1082
84.5%
Hangul 198
 
15.5%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 320
29.6%
180
16.6%
: 140
12.9%
1 96
 
8.9%
- 40
 
3.7%
9 40
 
3.7%
, 34
 
3.1%
2 33
 
3.0%
~ 32
 
3.0%
8 24
 
2.2%
Other values (33) 143
13.2%
Hangul
ValueCountFrequency (%)
일 23
 
11.6%
입 11
 
5.6%
장 11
 
5.6%
월 11
 
5.6%
시 10
 
5.1%
매 9
 
4.5%
마 8
 
4.0%
감 8
 
4.0%
간 5
 
2.5%
관 5
 
2.5%
Other values (56) 97
49.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

fre_parkng_at
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
58 
True
42 
ValueCountFrequency (%)
False 58
58.0%
True 42
42.0%
2023-12-10T18:50:09.377376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

chgd_parkng_at
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
87 
True
13 
ValueCountFrequency (%)
False 87
87.0%
True 13
 
13.0%
2023-12-10T18:50:09.539176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

entrn_price_at
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
75 
True
25 
ValueCountFrequency (%)
False 75
75.0%
True 25
 
25.0%
2023-12-10T18:50:09.702551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

brll_guid_at
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
83 
True
17 
ValueCountFrequency (%)
False 83
83.0%
True 17
 
17.0%
2023-12-10T18:50:09.859833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

klang_vic_guid_at
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
87 
True
13 
ValueCountFrequency (%)
False 87
87.0%
True 13
 
13.0%
2023-12-10T18:50:10.019464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

engl_vic_guid_at
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
97 
True
 
3
ValueCountFrequency (%)
False 97
97.0%
True 3
 
3.0%
2023-12-10T18:50:10.188201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

etc_vic_guid_at
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
99 
True
 
1
ValueCountFrequency (%)
False 99
99.0%
True 1
 
1.0%
2023-12-10T18:50:10.342561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

engl_fclty_guid_booklet_at
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
90 
True
10 
ValueCountFrequency (%)
False 90
90.0%
True 10
 
10.0%
2023-12-10T18:50:10.494879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

etc_fclty_guid_booklet_at
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
97 
True
 
3
ValueCountFrequency (%)
False 97
97.0%
True 3
 
3.0%
2023-12-10T18:50:10.680836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

last_updt_de
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20221130
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20221130
2nd row20221130
3rd row20221130
4th row20221130
5th row20221130

Common Values

ValueCountFrequency (%)
20221130 100
100.0%

Length

2023-12-10T18:50:10.871400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:11.027443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20221130 100
100.0%

Sample

fclty_nmmrhst_nmctgry_one_nmctgry_two_nmctgry_three_nmctprvn_nmsigngu_nmlegaldong_nmli_nmlnbr_noroad_nmbuld_nolc_lalc_lozip_nordnmadr_nmlnm_addrtel_nohmpg_urlblog_urlfacebook_urlinstgrm_urlrstde_guid_cnoper_timefre_parkng_atchgd_parkng_atentrn_price_atbrll_guid_atklang_vic_guid_atengl_vic_guid_atetc_vic_guid_atengl_fclty_guid_booklet_atetc_fclty_guid_booklet_atlast_updt_de
0001스테이지<NA>전시/공연영화/연극/공연공연/연극/문화센터서울특별시종로구동숭동<NA>1-115 번지대학로11637.581533127.0023363086서울특별시 종로구 대학로 116서울특별시 종로구 동숭동 1-11527440015https://www.00ground.kr/space/reservation<NA><NA><NA>일 정기휴무10:00 - 19:00NNYYNNNNN20221130
1YGKPOP클러스터(2023년3월예정)<NA>전시/공연영화/연극/공연공연/연극/문화센터경기도의정부시산곡동<NA>125-2 번지<NA><NA>37.722602127.1099111800<NA>경기도 의정부시 산곡동 125-2<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
21004섬수석미술관<NA>전시/공연전시/기념관기타전시/박물관전라남도신안군자은면백산리633-54 번지자은서부2길508-6834.880093125.99687458831전라남도 신안군 자은면 자은서부2길 508-68전라남도 신안군 자은면 백산리 633-54612403223https://tour.shinan.go.kr/home/tour/theme_tour/theme_tour_17/theme_tour_17_02<NA><NA><NA>매주 월요일10:00-17:00NNNNNNNNN20221130
3148아트스퀘어<NA>전시/공연영화/연극/공연공연/연극/문화센터경상북도영주시휴천동<NA>630 번지대학로7736.807001128.61614236133경상북도 영주시 대학로 77경상북도 영주시 휴천동 630546308712http://www.yctf.or.kr/bbs/board.php?bo_table=m203<NA>https://www.facebook.com/148artsquare/<NA>매주 월요일, 명절 (일정이 있을 경우는 당일만, 없으면 연휴 전체)09:00-18:00YNNYYNNNN20221130
4153가족캠프<NA>문화관광/명소관광지카페/공간대여경기도과천시중앙동<NA>40-7 번지새술막길10-1737.42871126.99119913807경기도 과천시 새술막길 10-17경기도 과천시 중앙동 40-7<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
5168아트스퀘어<NA>전시/공연전시/기념관기타전시/박물관충청북도충주시성서동<NA>306 번지예성로16836.971893127.93361227388충청북도 충주시 예성로 168충청북도 충주시 성서동 30650713835009168artsquare.com<NA><NA><NA><NA>매일 00:00 - 24:00 개관일정별도공지NNNNNNNNN20221130
61987박종철기념관<NA>전시/공연전시/기념관기념관/생가서울특별시관악구신림동<NA>241-13 번지<NA><NA>37.469384126.9381528814<NA>서울특별시 관악구 신림동 241-13<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
7YMCA고양국제청소년문화센터<NA>전시/공연영화/연극/공연공연/연극/문화센터경기도고양시 일산동구풍동<NA>1399 번지애니골길9737.677502126.79135610311경기도 고양시 일산동구 애니골길 97경기도 고양시 일산동구 풍동 1399319004800https://www.letsymca.or.kr/main<NA><NA><NA><NA>00:00-24:00YYYYYYNYN20221130
81MSPACE<NA>전시/공연영화/연극/공연공연/연극/문화센터서울특별시서대문구창천동<NA>13-21 번지연세로4길2737.557601126.9381983777서울특별시 서대문구 연세로4길 27서울특별시 서대문구 창천동 13-21<NA>https://theaterplot.oopy.io/<NA><NA><NA><NA><NA>YNYNNNNNN20221130
92.28민주운동기념회관<NA>전시/공연전시/기념관기타전시/박물관대구광역시중구남산동<NA>2113-10 번지2.28길935.858404128.59035341968대구광역시 중구 2.28길 9대구광역시 중구 남산동 2113-10532572280https://library.daegu.go.kr/228lib/index.do<NA><NA><NA>월,정기휴무 (매주 월요일)화 09:00 - 19:00,수 09:00 - 19:00,목 09:00 - 19:00,금 09:00 - 19:00,토 09:00 - 17:00,일 09:00 - 17:00YNNNNNNYN20221130
fclty_nmmrhst_nmctgry_one_nmctgry_two_nmctgry_three_nmctprvn_nmsigngu_nmlegaldong_nmli_nmlnbr_noroad_nmbuld_nolc_lalc_lozip_nordnmadr_nmlnm_addrtel_nohmpg_urlblog_urlfacebook_urlinstgrm_urlrstde_guid_cnoper_timefre_parkng_atchgd_parkng_atentrn_price_atbrll_guid_atklang_vic_guid_atengl_vic_guid_atetc_vic_guid_atengl_fclty_guid_booklet_atetc_fclty_guid_booklet_atlast_updt_de
90가시창작소<NA>전시/공연전시/기념관미술관경기도파주시탄현면법흥리230-11 번지국화향길60-2437.781064126.71398710860경기도 파주시 탄현면 국화향길 60-24경기도 파주시 탄현면 법흥리 230-11<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
91가야공원유원지<NA>문화관광/명소관광지일반유원지/일반놀이공원부산광역시부산진구가야동<NA>44-5 번지<NA><NA>35.146098129.02814547390<NA>부산광역시 부산진구 가야동 산 44-5<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
92가야극장<NA>전시/공연영화/연극/공연공연/연극/문화센터서울특별시서대문구충현동<NA>3-397 번지경기대로9안길58-137.564976126.9592213746서울특별시 서대문구 경기대로9안길 58-1서울특별시 서대문구 충정로3가 3-397<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
93가야랜드<NA>문화관광/명소관광지일반유원지/일반놀이공원경상남도김해시삼방동<NA>792 번지인제로36835.258172128.90243550811경상남도 김해시 인제로 368경상남도 김해시 삼방동 792553466000http://gaya-land.com/<NA><NA><NA>연중무휴매일,10:00 - 18:00,- (입장마감 17:30)YNYNNNNNN20221130
94가야박물관<NA>전시/공연전시/기념관기타전시/박물관대구광역시달서구본동<NA>831 번지구마로14635.836761128.5434242734대구광역시 달서구 구마로 146대구광역시 달서구 본동 831535603700<NA><NA><NA><NA><NA><NA>YNNNNNNNN20221130
95가야역사문화센터(2023년9월예정)<NA>전시/공연전시/기념관기타전시/박물관경상남도김해시관동동<NA>452-3 번지<NA><NA>35.179292128.79874150999<NA>경상남도 김해시 관동동 452-3<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
96가얏고체험관<NA>문화관광/명소관광지관람/체험관경상북도고령군대가야읍쾌빈리185-1 번지정정골길5535.741762128.26092840132경상북도 고령군 대가야읍 정정골길 55경상북도 고령군 대가야읍 쾌빈리 185-1<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNN20221130
97가온스테이지<NA>전시/공연영화/연극/공연공연장서울특별시마포구서교동<NA>377-3 번지잔다리로5937.553108126.9175264034서울특별시 마포구 잔다리로 59서울특별시 마포구 서교동 377-350713478650<NA><NA><NA>https://www.instagram.com/gaon.stage/<NA>24시간 운영NNYNNNNNN20221130
98가온아트홀<NA>전시/공연영화/연극/공연공연/연극/문화센터부산광역시동구범일동<NA>830-9 번지자성로133번길1035.138208129.06491548742부산광역시 동구 자성로133번길 10부산광역시 동구 범일동 830-916001602https://cafe.naver.com/0514426500<NA><NA><NA>연중무휴10:00-22:00NYYNNNNNN20221130
99가원미술관<NA>전시/공연전시/기념관미술관경기도과천시문원동<NA>226 번지새빛로2437.423973126.99920213826경기도 과천시 새빛로 24경기도 과천시 문원동 22650713313730<NA><NA><NA>https://www.instagram.com/gallerycafe_gawon<NA><NA>YNYNNNNNN20221130