Overview

Dataset statistics

Number of variables15
Number of observations905
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory108.0 KiB
Average record size in memory122.1 B

Variable types

Categorical8
Text4
Numeric2
Boolean1

Dataset

Description표준데이터 "길관광"정보 안에 위차한 거리상점정보를 정리한 파일입니다. 업종명, 행정동명, 운영시작/종료시각, 휴무일, 키워드 등을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15109205/fileData.do

Alerts

길명 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
영어가능여부 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 길명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 길명 and 2 other fieldsHigh correlation
업종명 is highly overall correlated with 취급품목High correlation
행정동명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
취급품목 is highly overall correlated with 업종명High correlation
주차가능여부 is highly overall correlated with 길명High correlation
휴무일 is highly imbalanced (53.4%)Imbalance

Reproduction

Analysis started2023-12-12 14:51:07.150902
Analysis finished2023-12-12 14:51:10.203557
Duration3.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

길명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
로데오 패션거리
195 
한남동 가로수길
123 
대사관길
118 
용문시장 체험코스
115 
해방촌길
67 
Other values (15)
287 

Length

Max length13
Median length10
Mean length7.3546961
Min length4

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row해방촌거리
2nd row해방촌거리
3rd row순국열사 추모길
4th row로데오 패션거리
5th row대사관길

Common Values

ValueCountFrequency (%)
로데오 패션거리 195
21.5%
한남동 가로수길 123
13.6%
대사관길 118
13.0%
용문시장 체험코스 115
12.7%
해방촌길 67
 
7.4%
앤틱가구거리 66
 
7.3%
공연 전시장길 코스 39
 
4.3%
한남동 디자이너거리 37
 
4.1%
후암벽화길 코스 31
 
3.4%
건축물 탐방 코스 24
 
2.7%
Other values (10) 90
9.9%

Length

2023-12-12T23:51:10.290230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
로데오 195
12.2%
패션거리 195
12.2%
한남동 160
10.0%
가로수길 123
 
7.7%
코스 119
 
7.5%
대사관길 118
 
7.4%
용문시장 115
 
7.2%
체험코스 115
 
7.2%
해방촌길 67
 
4.2%
앤틱가구거리 66
 
4.1%
Other values (20) 323
20.2%

점포명
Text

Distinct888
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T23:51:10.671448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length18
Mean length6.0331492
Min length1

Characters and Unicode

Total characters5460
Distinct characters633
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

Unique871 ?
Unique (%)96.2%

Sample

1st row미미롱
2nd row원스쿠키즈
3rd row기념품판매점가게
4th row이술집돔감자탕
5th row24시뼈다귀감자탕
ValueCountFrequency (%)
이태원점 30
 
2.6%
한남점 24
 
2.0%
한남 16
 
1.4%
카페 9
 
0.8%
세븐일레븐 7
 
0.6%
cu 6
 
0.5%
이태원 6
 
0.5%
gs25 5
 
0.4%
용산해방촌점 4
 
0.3%
이태원역점 4
 
0.3%
Other values (992) 1065
90.6%
2023-12-12T23:51:11.175974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
 
5.0%
이 233
 
4.3%
스 156
 
2.9%
점 134
 
2.5%
원 126
 
2.3%
태 118
 
2.2%
리 95
 
1.7%
시 83
 
1.5%
한 82
 
1.5%
장 68
 
1.2%
Other values (623) 4094
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4541
83.2%
Space Separator 271
 
5.0%
Uppercase Letter 268
 
4.9%
Lowercase Letter 200
 
3.7%
Decimal Number 109
 
2.0%
Dash Punctuation 52
 
1.0%
Other Punctuation 7
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 233
 
5.1%
스 156
 
3.4%
점 134
 
3.0%
원 126
 
2.8%
태 118
 
2.6%
리 95
 
2.1%
시 83
 
1.8%
한 82
 
1.8%
장 68
 
1.5%
남 66
 
1.5%
Other values (560) 3380
74.4%
Lowercase Letter
ValueCountFrequency (%)
a 22
 
11.0%
e 20
 
10.0%
r 16
 
8.0%
u 16
 
8.0%
t 14
 
7.0%
o 13
 
6.5%
n 13
 
6.5%
i 12
 
6.0%
b 11
 
5.5%
s 8
 
4.0%
Other values (14) 55
27.5%
Uppercase Letter
ValueCountFrequency (%)
E 27
 
10.1%
C 22
 
8.2%
A 22
 
8.2%
R 17
 
6.3%
S 17
 
6.3%
U 15
 
5.6%
T 14
 
5.2%
O 13
 
4.9%
N 13
 
4.9%
L 12
 
4.5%
Other values (13) 96
35.8%
Decimal Number
ValueCountFrequency (%)
2 33
30.3%
1 21
19.3%
5 11
 
10.1%
8 10
 
9.2%
9 10
 
9.2%
3 8
 
7.3%
4 7
 
6.4%
0 4
 
3.7%
7 4
 
3.7%
6 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 5
71.4%
. 2
 
28.6%
Space Separator
ValueCountFrequency (%)
271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4541
83.2%
Latin 468
 
8.6%
Common 451
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 233
 
5.1%
스 156
 
3.4%
점 134
 
3.0%
원 126
 
2.8%
태 118
 
2.6%
리 95
 
2.1%
시 83
 
1.8%
한 82
 
1.8%
장 68
 
1.5%
남 66
 
1.5%
Other values (560) 3380
74.4%
Latin
ValueCountFrequency (%)
E 27
 
5.8%
C 22
 
4.7%
a 22
 
4.7%
A 22
 
4.7%
e 20
 
4.3%
R 17
 
3.6%
S 17
 
3.6%
r 16
 
3.4%
u 16
 
3.4%
U 15
 
3.2%
Other values (37) 274
58.5%
Common
ValueCountFrequency (%)
271
60.1%
- 52
 
11.5%
2 33
 
7.3%
1 21
 
4.7%
5 11
 
2.4%
8 10
 
2.2%
9 10
 
2.2%
3 8
 
1.8%
4 7
 
1.6%
( 6
 
1.3%
Other values (6) 22
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4541
83.2%
ASCII 919
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
29.5%
- 52
 
5.7%
2 33
 
3.6%
E 27
 
2.9%
C 22
 
2.4%
a 22
 
2.4%
A 22
 
2.4%
1 21
 
2.3%
e 20
 
2.2%
R 17
 
1.8%
Other values (53) 412
44.8%
Hangul
ValueCountFrequency (%)
이 233
 
5.1%
스 156
 
3.4%
점 134
 
3.0%
원 126
 
2.8%
태 118
 
2.6%
리 95
 
2.1%
시 83
 
1.8%
한 82
 
1.8%
장 68
 
1.5%
남 66
 
1.5%
Other values (560) 3380
74.4%

업종명
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
식당
301 
의류판매점
166 
카페
138 
술집
106 
편의점
 
28
Other values (27)
166 

Length

Max length7
Median length2
Mean length3.0331492
Min length2

Unique

Unique8 ?
Unique (%)0.9%

Sample

1st row카페
2nd row카페
3rd row기념품판매점
4th row식당
5th row식당

Common Values

ValueCountFrequency (%)
식당 301
33.3%
의류판매점 166
18.3%
카페 138
15.2%
술집 106
 
11.7%
편의점 28
 
3.1%
미용실 20
 
2.2%
신발판매점 15
 
1.7%
슈퍼마켓 15
 
1.7%
화장품판매점 15
 
1.7%
유흥주점 11
 
1.2%
Other values (22) 90
 
9.9%

Length

2023-12-12T23:51:11.314106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식당 301
33.3%
의류판매점 166
18.3%
카페 138
15.2%
술집 106
 
11.7%
편의점 28
 
3.1%
미용실 20
 
2.2%
신발판매점 15
 
1.7%
슈퍼마켓 15
 
1.7%
화장품판매점 15
 
1.7%
유흥주점 11
 
1.2%
Other values (22) 90
 
9.9%

행정동명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
한남동
320 
이태원1동
294 
용문동
115 
용산2가동
80 
후암동
 
32
Other values (7)
64 

Length

Max length5
Median length3
Mean length3.9071823
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row용산2가동
2nd row후암동
3rd row효창동
4th row이태원1동
5th row한남동

Common Values

ValueCountFrequency (%)
한남동 320
35.4%
이태원1동 294
32.5%
용문동 115
 
12.7%
용산2가동 80
 
8.8%
후암동 32
 
3.5%
서빙고동 31
 
3.4%
원효로1동 21
 
2.3%
보광동 8
 
0.9%
효창동 1
 
0.1%
한강로동 1
 
0.1%
Other values (2) 2
 
0.2%

Length

2023-12-12T23:51:11.436343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한남동 320
35.4%
이태원1동 294
32.5%
용문동 115
 
12.7%
용산2가동 80
 
8.8%
후암동 32
 
3.5%
서빙고동 31
 
3.4%
원효로1동 21
 
2.3%
보광동 8
 
0.9%
효창동 1
 
0.1%
한강로동 1
 
0.1%
Other values (2) 2
 
0.2%

소재지도로명주소
Text

Distinct599
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T23:51:11.762607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length20.869613
Min length14

Characters and Unicode

Total characters18887
Distinct characters68
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

Unique454 ?
Unique (%)50.2%

Sample

1st row서울특별시 용산구 신흥로36길 17-1
2nd row서울특별시 용산구 신흥로36길 7, 지하1층
3rd row서울특별시 용산구 임정로 26
4th row서울특별시 용산구 이태원로 176, 2층
5th row서울특별시 용산구 대사관로 73, 1층
ValueCountFrequency (%)
서울특별시 904
22.2%
용산구 903
22.2%
1층 204
 
5.0%
이태원로 176
 
4.3%
2층 103
 
2.5%
지하1층 71
 
1.7%
이태원로14길 64
 
1.6%
대사관로 60
 
1.5%
신흥로 53
 
1.3%
6 51
 
1.3%
Other values (318) 1474
36.3%
2023-12-12T23:51:12.592794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3200
16.9%
서 973
 
5.2%
산 914
 
4.8%
구 905
 
4.8%
울 905
 
4.8%
특 904
 
4.8%
별 904
 
4.8%
시 904
 
4.8%
용 903
 
4.8%
로 894
 
4.7%
Other values (58) 7481
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11677
61.8%
Decimal Number 3451
 
18.3%
Space Separator 3200
 
16.9%
Other Punctuation 424
 
2.2%
Dash Punctuation 135
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 973
 
8.3%
산 914
 
7.8%
구 905
 
7.8%
울 905
 
7.8%
특 904
 
7.7%
별 904
 
7.7%
시 904
 
7.7%
용 903
 
7.7%
로 894
 
7.7%
층 438
 
3.8%
Other values (45) 3033
26.0%
Decimal Number
ValueCountFrequency (%)
1 853
24.7%
2 608
17.6%
4 389
11.3%
3 282
 
8.2%
6 259
 
7.5%
5 255
 
7.4%
0 251
 
7.3%
7 229
 
6.6%
8 192
 
5.6%
9 133
 
3.9%
Space Separator
ValueCountFrequency (%)
3200
100.0%
Other Punctuation
ValueCountFrequency (%)
, 424
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11677
61.8%
Common 7210
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 973
 
8.3%
산 914
 
7.8%
구 905
 
7.8%
울 905
 
7.8%
특 904
 
7.7%
별 904
 
7.7%
시 904
 
7.7%
용 903
 
7.7%
로 894
 
7.7%
층 438
 
3.8%
Other values (45) 3033
26.0%
Common
ValueCountFrequency (%)
3200
44.4%
1 853
 
11.8%
2 608
 
8.4%
, 424
 
5.9%
4 389
 
5.4%
3 282
 
3.9%
6 259
 
3.6%
5 255
 
3.5%
0 251
 
3.5%
7 229
 
3.2%
Other values (3) 460
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11677
61.8%
ASCII 7210
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3200
44.4%
1 853
 
11.8%
2 608
 
8.4%
, 424
 
5.9%
4 389
 
5.4%
3 282
 
3.9%
6 259
 
3.6%
5 255
 
3.5%
0 251
 
3.5%
7 229
 
3.2%
Other values (3) 460
 
6.4%
Hangul
ValueCountFrequency (%)
서 973
 
8.3%
산 914
 
7.8%
구 905
 
7.8%
울 905
 
7.8%
특 904
 
7.7%
별 904
 
7.7%
시 904
 
7.7%
용 903
 
7.7%
로 894
 
7.7%
층 438
 
3.8%
Other values (45) 3033
26.0%

소재지지번주소
Text

Distinct603
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T23:51:12.944895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length21.862983
Min length16

Characters and Unicode

Total characters19786
Distinct characters48
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

Unique458 ?
Unique (%)50.6%

Sample

1st row서울특별시 용산구 용산동2가 1-338
2nd row서울특별시 용산구 후암동 415-54, 지하1층
3rd row서울특별시 용산구 효창동 255
4th row서울특별시 용산구 이태원동 128-3, 2층
5th row서울특별시 용산구 한남동 634-1, 1층
ValueCountFrequency (%)
서울특별시 905
22.3%
용산구 902
22.2%
한남동 304
 
7.5%
이태원동 294
 
7.2%
1층 203
 
5.0%
용문동 111
 
2.7%
2층 103
 
2.5%
용산동2가 78
 
1.9%
지하1층 72
 
1.8%
56-9 51
 
1.3%
Other values (456) 1037
25.5%
2023-12-12T23:51:13.421153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3218
 
16.3%
용 1107
 
5.6%
산 1007
 
5.1%
1 935
 
4.7%
서 906
 
4.6%
시 905
 
4.6%
별 905
 
4.6%
특 905
 
4.6%
구 905
 
4.6%
울 905
 
4.6%
Other values (38) 8088
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11007
55.6%
Decimal Number 4277
 
21.6%
Space Separator 3218
 
16.3%
Dash Punctuation 862
 
4.4%
Other Punctuation 422
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 1107
10.1%
산 1007
9.1%
서 906
8.2%
시 905
8.2%
별 905
8.2%
특 905
8.2%
구 905
8.2%
울 905
8.2%
동 880
8.0%
층 439
 
4.0%
Other values (25) 2143
19.5%
Decimal Number
ValueCountFrequency (%)
1 935
21.9%
2 651
15.2%
3 571
13.4%
6 539
12.6%
4 415
9.7%
8 327
 
7.6%
5 265
 
6.2%
7 260
 
6.1%
9 164
 
3.8%
0 150
 
3.5%
Space Separator
ValueCountFrequency (%)
3218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 862
100.0%
Other Punctuation
ValueCountFrequency (%)
, 422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11007
55.6%
Common 8779
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 1107
10.1%
산 1007
9.1%
서 906
8.2%
시 905
8.2%
별 905
8.2%
특 905
8.2%
구 905
8.2%
울 905
8.2%
동 880
8.0%
층 439
 
4.0%
Other values (25) 2143
19.5%
Common
ValueCountFrequency (%)
3218
36.7%
1 935
 
10.7%
- 862
 
9.8%
2 651
 
7.4%
3 571
 
6.5%
6 539
 
6.1%
, 422
 
4.8%
4 415
 
4.7%
8 327
 
3.7%
5 265
 
3.0%
Other values (3) 574
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11007
55.6%
ASCII 8779
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3218
36.7%
1 935
 
10.7%
- 862
 
9.8%
2 651
 
7.4%
3 571
 
6.5%
6 539
 
6.1%
, 422
 
4.8%
4 415
 
4.7%
8 327
 
3.7%
5 265
 
3.0%
Other values (3) 574
 
6.5%
Hangul
ValueCountFrequency (%)
용 1107
10.1%
산 1007
9.1%
서 906
8.2%
시 905
8.2%
별 905
8.2%
특 905
8.2%
구 905
8.2%
울 905
8.2%
동 880
8.0%
층 439
 
4.0%
Other values (25) 2143
19.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct389
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.53566
Minimum37.521156
Maximum37.55594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T23:51:13.579965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.521156
5-th percentile37.528775
Q137.533671
median37.534527
Q337.536673
95-th percentile37.545685
Maximum37.55594
Range0.034784
Interquartile range (IQR)0.003002

Descriptive statistics

Standard deviation0.0048797044
Coefficient of variation (CV)0.00013000183
Kurtosis3.2717377
Mean37.53566
Median Absolute Deviation (MAD)0.001426
Skewness1.036811
Sum33969.772
Variance2.3811515 × 10-5
MonotonicityNot monotonic
2023-12-12T23:51:13.747800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.533806 55
 
6.1%
37.550328 16
 
1.8%
37.528775 16
 
1.8%
37.524686 12
 
1.3%
37.549285 10
 
1.1%
37.533761 10
 
1.1%
37.533797 9
 
1.0%
37.534185 8
 
0.9%
37.533338 8
 
0.9%
37.534194 8
 
0.9%
Other values (379) 753
83.2%
ValueCountFrequency (%)
37.521156 1
 
0.1%
37.521238 1
 
0.1%
37.521418 1
 
0.1%
37.521508 2
 
0.2%
37.521643 1
 
0.1%
37.521922 2
 
0.2%
37.522958 1
 
0.1%
37.52302 1
 
0.1%
37.524686 12
1.3%
37.524899 1
 
0.1%
ValueCountFrequency (%)
37.55594 1
 
0.1%
37.554466 1
 
0.1%
37.552887 2
 
0.2%
37.55269 1
 
0.1%
37.550572 2
 
0.2%
37.550482 2
 
0.2%
37.550454 2
 
0.2%
37.550355 1
 
0.1%
37.550328 16
1.8%
37.550319 4
 
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct412
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.9895
Minimum126.9591
Maximum127.01279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T23:51:13.952515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.9591
5-th percentile126.96
Q1126.98702
median126.99247
Q3127.0001
95-th percentile127.00683
Maximum127.01279
Range0.053692
Interquartile range (IQR)0.01308

Descriptive statistics

Standard deviation0.014327198
Coefficient of variation (CV)0.00011282191
Kurtosis-0.13234257
Mean126.9895
Median Absolute Deviation (MAD)0.00704
Skewness-0.93768643
Sum114925.5
Variance0.00020526861
MonotonicityNot monotonic
2023-12-12T23:51:14.155838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.990023 51
 
5.6%
126.976679 16
 
1.8%
126.968653 16
 
1.8%
126.977717 12
 
1.3%
126.988923 10
 
1.1%
126.994198 10
 
1.1%
127.007979 9
 
1.0%
127.00205 8
 
0.9%
127.008759 7
 
0.8%
126.997038 7
 
0.8%
Other values (402) 759
83.9%
ValueCountFrequency (%)
126.959096 1
 
0.1%
126.959248 1
 
0.1%
126.959361 2
0.2%
126.959372 1
 
0.1%
126.959429 2
0.2%
126.959485 2
0.2%
126.959542 2
0.2%
126.959587 1
 
0.1%
126.959621 1
 
0.1%
126.959632 3
0.3%
ValueCountFrequency (%)
127.012788 1
 
0.1%
127.012131 1
 
0.1%
127.01092 1
 
0.1%
127.010773 1
 
0.1%
127.010581 2
 
0.2%
127.010174 2
 
0.2%
127.010083 7
0.8%
127.009823 4
0.4%
127.009665 1
 
0.1%
127.009619 2
 
0.2%

취급품목
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
음식
311 
의류
144 
주류
117 
음료
108 
편의용품
 
28
Other values (41)
197 

Length

Max length6
Median length2
Mean length2.279558
Min length1

Unique

Unique19 ?
Unique (%)2.1%

Sample

1st row음료
2nd row음료
3rd row기념품판매점
4th row음식
5th row음식

Common Values

ValueCountFrequency (%)
음식 311
34.4%
의류 144
15.9%
주류 117
 
12.9%
음료 108
 
11.9%
편의용품 28
 
3.1%
미용 20
 
2.2%
슈퍼마켓 15
 
1.7%
화장품 15
 
1.7%
신발 15
 
1.7%
제과점 13
 
1.4%
Other values (36) 119
 
13.1%

Length

2023-12-12T23:51:14.327850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식 311
34.4%
의류 144
15.9%
주류 117
 
12.9%
음료 108
 
11.9%
편의용품 28
 
3.1%
미용 20
 
2.2%
슈퍼마켓 15
 
1.7%
화장품 15
 
1.7%
신발 15
 
1.7%
제과점 13
 
1.4%
Other values (36) 119
 
13.1%

운영시작시각
Categorical

Distinct37
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
11:00
137 
09:30
125 
09:00
100 
10:00
95 
12:00
88 
Other values (32)
360 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique12 ?
Unique (%)1.3%

Sample

1st row11:00
2nd row08:00
3rd row10:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
11:00 137
15.1%
09:30 125
13.8%
09:00 100
11.0%
10:00 95
10.5%
12:00 88
9.7%
11:30 52
 
5.7%
00:00 47
 
5.2%
17:00 41
 
4.5%
18:00 40
 
4.4%
10:30 20
 
2.2%
Other values (27) 160
17.7%

Length

2023-12-12T23:51:14.474533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11:00 137
15.1%
09:30 125
13.8%
09:00 100
11.0%
10:00 95
10.5%
12:00 88
9.7%
11:30 52
 
5.7%
00:00 47
 
5.2%
17:00 41
 
4.5%
18:00 40
 
4.4%
10:30 20
 
2.2%
Other values (27) 160
17.7%

운영종료시각
Categorical

Distinct43
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
20:00
134 
22:00
127 
18:30
119 
00:00
87 
21:00
82 
Other values (38)
356 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique19 ?
Unique (%)2.1%

Sample

1st row21:00
2nd row21:00
3rd row18:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
20:00 134
14.8%
22:00 127
14.0%
18:30 119
13.1%
00:00 87
9.6%
21:00 82
9.1%
19:00 56
 
6.2%
23:00 50
 
5.5%
02:00 46
 
5.1%
18:00 41
 
4.5%
03:00 20
 
2.2%
Other values (33) 143
15.8%

Length

2023-12-12T23:51:14.655653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 134
14.8%
22:00 127
14.0%
18:30 119
13.1%
00:00 87
9.6%
21:00 82
9.1%
19:00 56
 
6.2%
23:00 50
 
5.5%
02:00 46
 
5.1%
18:00 41
 
4.5%
20:30 20
 
2.2%
Other values (33) 143
15.8%

휴무일
Categorical

IMBALANCE 

Distinct20
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
연중무휴
553 
토요일+일요일
136 
일요일
72 
월요일
58 
화요일
 
20
Other values (15)
66 

Length

Max length19
Median length4
Mean length4.4773481
Min length3

Unique

Unique8 ?
Unique (%)0.9%

Sample

1st row수요일
2nd row연중무휴
3rd row월요일
4th row연중무휴
5th row화요일

Common Values

ValueCountFrequency (%)
연중무휴 553
61.1%
토요일+일요일 136
 
15.0%
일요일 72
 
8.0%
월요일 58
 
6.4%
화요일 20
 
2.2%
월요일+화요일 20
 
2.2%
일요일+월요일 12
 
1.3%
수요일 8
 
0.9%
공휴일 6
 
0.7%
월요일+화요일+수요일 5
 
0.6%
Other values (10) 15
 
1.7%

Length

2023-12-12T23:51:14.841799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 553
61.1%
토요일+일요일 136
 
15.0%
일요일 72
 
8.0%
월요일 58
 
6.4%
화요일 20
 
2.2%
월요일+화요일 20
 
2.2%
일요일+월요일 12
 
1.3%
수요일 8
 
0.9%
공휴일 6
 
0.7%
월요일+화요일+수요일 5
 
0.6%
Other values (10) 15
 
1.7%

영어가능여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
True
556 
False
349 
ValueCountFrequency (%)
True 556
61.4%
False 349
38.6%
2023-12-12T23:51:14.985449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차가능여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
N
655 
Y
249 
Y
 
1

Length

Max length2
Median length1
Mean length1.001105
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowN
2nd rowN
3rd rowY
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 655
72.4%
Y 249
 
27.5%
Y 1
 
0.1%

Length

2023-12-12T23:51:15.119239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:51:15.257924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 655
72.4%
y 250
 
27.6%

키워드
Text

Distinct679
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T23:51:15.550552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length12.173481
Min length7

Characters and Unicode

Total characters11017
Distinct characters517
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique602 ?
Unique (%)66.5%

Sample

1st row디저트+과자+원데이클래스
2nd row디저트+커피+야경
3rd row기념관+생가+백범김구
4th row감자탕+이태원+감자
5th row감자탕+뼈찜+한식
ValueCountFrequency (%)
의류판매점+이태원시장의류판매점+이태원의류판매점 27
 
3.0%
반찬+요리+김치 16
 
1.8%
카페+디저트+커피 12
 
1.3%
옷+패션+스타일 11
 
1.2%
안주+맥주+소주 10
 
1.1%
옷+스타일+패션 8
 
0.9%
육류+고기+삼겹살 8
 
0.9%
카페+이태원카페+커피 8
 
0.9%
편의점+생필품+간편식품 7
 
0.8%
의류+옷+스타일 7
 
0.8%
Other values (669) 791
87.4%
2023-12-12T23:51:16.084626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 1806
 
16.4%
이 410
 
3.7%
태 246
 
2.2%
원 244
 
2.2%
의 241
 
2.2%
식 239
 
2.2%
류 218
 
2.0%
한 195
 
1.8%
스 176
 
1.6%
집 171
 
1.6%
Other values (507) 7071
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9125
82.8%
Math Symbol 1806
 
16.4%
Lowercase Letter 36
 
0.3%
Decimal Number 26
 
0.2%
Uppercase Letter 24
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 410
 
4.5%
태 246
 
2.7%
원 244
 
2.7%
의 241
 
2.6%
식 239
 
2.6%
류 218
 
2.4%
한 195
 
2.1%
스 176
 
1.9%
집 171
 
1.9%
남 167
 
1.8%
Other values (476) 6818
74.7%
Lowercase Letter
ValueCountFrequency (%)
s 5
13.9%
e 5
13.9%
o 3
8.3%
t 3
8.3%
n 3
8.3%
a 3
8.3%
r 2
 
5.6%
i 2
 
5.6%
d 2
 
5.6%
l 2
 
5.6%
Other values (6) 6
16.7%
Uppercase Letter
ValueCountFrequency (%)
R 5
20.8%
A 4
16.7%
B 4
16.7%
L 3
12.5%
P 3
12.5%
O 1
 
4.2%
I 1
 
4.2%
M 1
 
4.2%
T 1
 
4.2%
V 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 10
38.5%
4 9
34.6%
1 6
23.1%
7 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
+ 1806
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9125
82.8%
Common 1832
 
16.6%
Latin 60
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 410
 
4.5%
태 246
 
2.7%
원 244
 
2.7%
의 241
 
2.6%
식 239
 
2.6%
류 218
 
2.4%
한 195
 
2.1%
스 176
 
1.9%
집 171
 
1.9%
남 167
 
1.8%
Other values (476) 6818
74.7%
Latin
ValueCountFrequency (%)
s 5
 
8.3%
e 5
 
8.3%
R 5
 
8.3%
A 4
 
6.7%
B 4
 
6.7%
L 3
 
5.0%
P 3
 
5.0%
o 3
 
5.0%
t 3
 
5.0%
n 3
 
5.0%
Other values (16) 22
36.7%
Common
ValueCountFrequency (%)
+ 1806
98.6%
2 10
 
0.5%
4 9
 
0.5%
1 6
 
0.3%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9125
82.8%
ASCII 1892
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 1806
95.5%
2 10
 
0.5%
4 9
 
0.5%
1 6
 
0.3%
s 5
 
0.3%
e 5
 
0.3%
R 5
 
0.3%
A 4
 
0.2%
B 4
 
0.2%
L 3
 
0.2%
Other values (21) 35
 
1.8%
Hangul
ValueCountFrequency (%)
이 410
 
4.5%
태 246
 
2.7%
원 244
 
2.7%
의 241
 
2.6%
식 239
 
2.6%
류 218
 
2.4%
한 195
 
2.1%
스 176
 
1.9%
집 171
 
1.9%
남 167
 
1.8%
Other values (476) 6818
74.7%

Interactions

2023-12-12T23:51:09.541099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:51:09.230715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:51:09.681154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:51:09.391291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:51:16.200555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
길명업종명행정동명위도경도취급품목운영시작시각운영종료시각휴무일영어가능여부주차가능여부
길명1.0000.5950.9730.9520.9450.6020.7230.7430.6750.9570.719
업종명0.5951.0000.5430.3530.4900.9960.6330.6150.4880.4020.377
행정동명0.9730.5431.0000.8780.9130.4600.7210.7060.6720.8200.749
위도0.9520.3530.8781.0000.9190.3090.6240.6250.6030.6830.441
경도0.9450.4900.9130.9191.0000.4620.7360.7400.7290.7080.618
취급품목0.6020.9960.4600.3090.4621.0000.6190.4130.1780.3920.274
운영시작시각0.7230.6330.7210.6240.7360.6191.0000.8760.7000.5460.649
운영종료시각0.7430.6150.7060.6250.7400.4130.8761.0000.6430.5600.673
휴무일0.6750.4880.6720.6030.7290.1780.7000.6431.0000.5670.674
영어가능여부0.9570.4020.8200.6830.7080.3920.5460.5600.5671.0000.095
주차가능여부0.7190.3770.7490.4410.6180.2740.6490.6730.6740.0951.000
2023-12-12T23:51:16.358779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명운영종료시각행정동명길명영어가능여부휴무일주차가능여부운영시작시각취급품목
업종명1.0000.1610.2030.1950.3150.1440.2020.1750.881
운영종료시각0.1611.0000.3010.2750.4610.2070.4270.3380.085
행정동명0.2030.3011.0000.8440.6580.2990.4660.3150.158
길명0.1950.2750.8441.0000.9330.2610.5150.2650.188
영어가능여부0.3150.4610.6580.9331.0000.4470.1570.4540.305
휴무일0.1440.2070.2990.2610.4471.0000.4620.2450.044
주차가능여부0.2020.4270.4660.5150.1570.4621.0000.4090.136
운영시작시각0.1750.3380.3150.2650.4540.2450.4091.0000.153
취급품목0.8810.0850.1580.1880.3050.0440.1360.1531.000
2023-12-12T23:51:16.523194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도길명업종명행정동명취급품목운영시작시각운영종료시각휴무일영어가능여부주차가능여부
위도1.000-0.3320.7660.1300.6270.1080.2670.2640.2320.5300.295
경도-0.3321.0000.7430.1930.7040.1730.3550.3530.3180.5510.462
길명0.7660.7431.0000.1950.8440.1880.2650.2750.2610.9330.515
업종명0.1300.1930.1951.0000.2030.8810.1750.1610.1440.3150.202
행정동명0.6270.7040.8440.2031.0000.1580.3150.3010.2990.6580.466
취급품목0.1080.1730.1880.8810.1581.0000.1530.0850.0440.3050.136
운영시작시각0.2670.3550.2650.1750.3150.1531.0000.3380.2450.4540.409
운영종료시각0.2640.3530.2750.1610.3010.0850.3381.0000.2070.4610.427
휴무일0.2320.3180.2610.1440.2990.0440.2450.2071.0000.4470.462
영어가능여부0.5300.5510.9330.3150.6580.3050.4540.4610.4471.0000.157
주차가능여부0.2950.4620.5150.2020.4660.1360.4090.4270.4620.1571.000

Missing values

2023-12-12T23:51:09.898710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:51:10.126146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

길명점포명업종명행정동명소재지도로명주소소재지지번주소위도경도취급품목운영시작시각운영종료시각휴무일영어가능여부주차가능여부키워드
0해방촌거리미미롱카페용산2가동서울특별시 용산구 신흥로36길 17-1서울특별시 용산구 용산동2가 1-33837.546203126.982553음료11:0021:00수요일YN디저트+과자+원데이클래스
1해방촌거리원스쿠키즈카페후암동서울특별시 용산구 신흥로36길 7, 지하1층서울특별시 용산구 후암동 415-54, 지하1층37.546401126.982066음료08:0021:00연중무휴YN디저트+커피+야경
2순국열사 추모길기념품판매점가게기념품판매점효창동서울특별시 용산구 임정로 26서울특별시 용산구 효창동 25537.544566126.959096기념품판매점10:0018:00월요일YY기념관+생가+백범김구
3로데오 패션거리이술집돔감자탕식당이태원1동서울특별시 용산구 이태원로 176, 2층서울특별시 용산구 이태원동 128-3, 2층37.53423126.993406음식00:0000:00연중무휴YN감자탕+이태원+감자
4대사관길24시뼈다귀감자탕식당한남동서울특별시 용산구 대사관로 73, 1층서울특별시 용산구 한남동 634-1, 1층37.533428127.006134음식00:0000:00화요일YN감자탕+뼈찜+한식
5남산숲속여행길엔테라스카페용산2가동서울특별시 용산구 남산공원길 105, 1층서울특별시 용산구 용산동2가 산1-3, 1층37.549285126.988923음료11:0021:00연중무휴YN팥빙수+카페+야경
6남산숲속여행길N스위트바카페용산2가동서울특별시 용산구 남산공원길 105, 5층서울특별시 용산구 용산동2가 산1-3, 5층37.549285126.988923주류11:0020:00연중무휴YN팝콘+나쵸+스낵
7마을관광길일공오삼겹살식당원효로1동서울특별시 용산구 백범로87길 52서울특별시 용산구 원효로1가 43-337.539406126.969463음식01:0023:00연중무휴NN남영역고기집+열정도삼겹살+쌈장
8로데오 패션거리이태원시장-아술집드의류판매점이태원1동서울특별시 용산구 이태원로14길 6, 1층서울특별시 용산구 이태원동 56-9, 1층37.533806126.990023가방09:0020:00연중무휴YN가방+이태원시장+이태원가방가게
9마을관광길열정도고깃집식당원효로1동서울특별시 용산구 백범로87길 55서울특별시 용산구 원효로1가 44-1137.539704126.969384음식12:0022:00연중무휴NN두툼한목살+용산맛집+고기
길명점포명업종명행정동명소재지도로명주소소재지지번주소위도경도취급품목운영시작시각운영종료시각휴무일영어가능여부주차가능여부키워드
895해방촌길오아시스 해방촌카페용산2가동서울특별시 용산구 신흥로 62서울특별시 용산구 용산동2가 24-1737.543825126.987385음료11:0020:00화요일+수요일NN카페+디저트+커피
896마을관광길홈랜드식당원효로1동서울특별시 용산구 백범로87길 40, 2층서울특별시 용산구 원효로1가 121-45, 2층37.53901126.968921음식17:0022:00월요일NN중식주점+주류필수주문+유산슬
897해방촌길미니스톱 용산해방촌점편의점용산2가동서울특별시 용산구 신흥로16길 3서울특별시 용산구 용산동2가 15-937.544708126.986695편의용품00:0000:00연중무휴NN편의점+생필품+간편식품
898해방촌길론드리프로젝트카페용산2가동서울특별시 용산구 신흥로 78서울특별시 용산구 용산동2가 15-1337.545032126.986469음료12:0022:00연중무휴NN카페+디저트+커피
899해방촌길풀리쉬랩카페용산2가동서울특별시 용산구 신흥로 82서울특별시 용산구 용산동2가 16-1037.545356126.986287음료12:0021:00월요일NN카페+디저트+커피
900해방촌길카페 마우시카페용산2가동서울특별시 용산구 신흥로 82-2서울특별시 용산구 용산동2가 16-1237.545464126.98614음료10:0019:00월요일NN카페+디저트+커피
901해방촌길윤주당 별관술집용산2가동서울특별시 용산구 신흥로 84, 1층서울특별시 용산구 용산동2가 16-16, 1층37.545537126.986016주류18:0023:00월요일+화요일+수요일NN술집+알코올+안주
902대사관길황태일로식당한남동서울특별시 용산구 대사관로 56서울특별시 용산구 한남동 644-1037.533239127.004166음식07:0017:00연중무휴YN황태만두+혼밥+한남동맛집
903대사관길뮤땅식당한남동서울특별시 용산구 대사관로12길 4-2, 2층서울특별시 용산구 한남동 63-103, 2층37.533464127.001417음식18:0000:00월요일+일요일YN프라이빗룸+오픈키친+양식
904해방촌길CU 용산해방촌오거리점편의점용산2가동서울특별시 용산구 신흥로18길 4, 1층서울특별시 용산구 용산동2가 16, 1층37.54569126.985812편의용품00:0000:00연중무휴NN편의점+생필품+간편식품