Overview

Dataset statistics

Number of variables18
Number of observations6193
Missing cells7215
Missing cells (%)6.5%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory889.2 KiB
Average record size in memory147.0 B

Variable types

Text13
Unsupported1
Numeric3
Categorical1

Dataset

Description외국인을 위한 사후면세점(Tax refund) 리스트를 제공합니다. 영업장명, 주소, 영업요일, 운영시간,전화번호, 홈페이지 주소가 포함되어 있습니다.
Author한국관광공사
URLhttps://www.data.go.kr/data/15105716/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
GPS X축 is highly overall correlated with 우편번호High correlation
우편번호 is highly overall correlated with GPS X축High correlation
영업요일(1 월요일, 7 일요일) is highly imbalanced (91.8%)Imbalance
상세주소 has 1655 (26.7%) missing valuesMissing
운영시간(일) has 143 (2.3%) missing valuesMissing
전화번호 has 489 (7.9%) missing valuesMissing
홈페이지주소 has 4818 (77.8%) missing valuesMissing
상세주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:06:38.067928
Analysis finished2023-12-12 04:06:42.385899
Duration4.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업장명
Text

Distinct6143
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2023-12-12T13:06:42.710159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length10.50105
Min length1

Characters and Unicode

Total characters65033
Distinct characters767
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

Unique6101 ?
Unique (%)98.5%

Sample

1st row빈폴 롯데 동부산점
2nd row구찌 롯데 아울렛 동부산점
3rd row대현 모조에스핀 롯데동부산
4th row롯데아울렛 동부산점(마인)
5th rowLF 닥스신사 롯데동부산
ValueCountFrequency (%)
롯데아울렛 374
 
2.8%
올리브영 255
 
1.9%
스타필드 157
 
1.2%
롯데백화점 143
 
1.1%
롯데 138
 
1.0%
두타 131
 
1.0%
현대김포 124
 
0.9%
고양점 122
 
0.9%
롯데동부산 119
 
0.9%
신세계백화점 113
 
0.8%
Other values (3873) 11861
87.6%
2023-12-12T13:06:43.370740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7365
 
11.3%
점 3371
 
5.2%
스 2024
 
3.1%
데 1747
 
2.7%
롯 1652
 
2.5%
이 1554
 
2.4%
아 1290
 
2.0%
리 1288
 
2.0%
대 1048
 
1.6%
트 852
 
1.3%
Other values (757) 42842
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53962
83.0%
Space Separator 7365
 
11.3%
Uppercase Letter 2532
 
3.9%
Lowercase Letter 329
 
0.5%
Connector Punctuation 251
 
0.4%
Decimal Number 226
 
0.3%
Close Punctuation 138
 
0.2%
Open Punctuation 138
 
0.2%
Other Punctuation 87
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3371
 
6.2%
스 2024
 
3.8%
데 1747
 
3.2%
롯 1652
 
3.1%
이 1554
 
2.9%
아 1290
 
2.4%
리 1288
 
2.4%
대 1048
 
1.9%
트 852
 
1.6%
울 805
 
1.5%
Other values (684) 38331
71.0%
Uppercase Letter
ValueCountFrequency (%)
C 230
 
9.1%
A 199
 
7.9%
S 167
 
6.6%
L 159
 
6.3%
I 158
 
6.2%
E 156
 
6.2%
B 148
 
5.8%
N 143
 
5.6%
K 124
 
4.9%
M 124
 
4.9%
Other values (16) 924
36.5%
Lowercase Letter
ValueCountFrequency (%)
o 33
 
10.0%
e 30
 
9.1%
a 26
 
7.9%
i 20
 
6.1%
t 19
 
5.8%
s 19
 
5.8%
c 19
 
5.8%
l 18
 
5.5%
n 17
 
5.2%
m 16
 
4.9%
Other values (15) 112
34.0%
Decimal Number
ValueCountFrequency (%)
2 78
34.5%
1 59
26.1%
3 19
 
8.4%
5 16
 
7.1%
4 12
 
5.3%
0 12
 
5.3%
9 10
 
4.4%
8 10
 
4.4%
7 5
 
2.2%
6 5
 
2.2%
Other Punctuation
ValueCountFrequency (%)
& 50
57.5%
. 19
 
21.8%
* 12
 
13.8%
/ 4
 
4.6%
# 1
 
1.1%
: 1
 
1.1%
Space Separator
ValueCountFrequency (%)
7365
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53966
83.0%
Common 8206
 
12.6%
Latin 2861
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3371
 
6.2%
스 2024
 
3.8%
데 1747
 
3.2%
롯 1652
 
3.1%
이 1554
 
2.9%
아 1290
 
2.4%
리 1288
 
2.4%
대 1048
 
1.9%
트 852
 
1.6%
울 805
 
1.5%
Other values (685) 38335
71.0%
Latin
ValueCountFrequency (%)
C 230
 
8.0%
A 199
 
7.0%
S 167
 
5.8%
L 159
 
5.6%
I 158
 
5.5%
E 156
 
5.5%
B 148
 
5.2%
N 143
 
5.0%
K 124
 
4.3%
M 124
 
4.3%
Other values (41) 1253
43.8%
Common
ValueCountFrequency (%)
7365
89.8%
_ 251
 
3.1%
) 138
 
1.7%
( 138
 
1.7%
2 78
 
1.0%
1 59
 
0.7%
& 50
 
0.6%
. 19
 
0.2%
3 19
 
0.2%
5 16
 
0.2%
Other values (11) 73
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53962
83.0%
ASCII 11066
 
17.0%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7365
66.6%
_ 251
 
2.3%
C 230
 
2.1%
A 199
 
1.8%
S 167
 
1.5%
L 159
 
1.4%
I 158
 
1.4%
E 156
 
1.4%
B 148
 
1.3%
N 143
 
1.3%
Other values (61) 2090
 
18.9%
Hangul
ValueCountFrequency (%)
점 3371
 
6.2%
스 2024
 
3.8%
데 1747
 
3.2%
롯 1652
 
3.1%
이 1554
 
2.9%
아 1290
 
2.4%
리 1288
 
2.4%
대 1048
 
1.9%
트 852
 
1.6%
울 805
 
1.5%
Other values (684) 38331
71.0%
None
ValueCountFrequency (%)
㈜ 4
80.0%
´ 1
 
20.0%

도로명 주소
Text

Distinct2262
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2023-12-12T13:06:43.979447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.616503
Min length13

Characters and Unicode

Total characters115292
Distinct characters315
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1861 ?
Unique (%)30.1%

Sample

1st row부산광역시 기장군 기장읍 기장해안로 147
2nd row부산광역시 기장군 기장읍 기장해안로 147
3rd row부산광역시 기장군 기장읍 기장해안로 147
4th row부산광역시 기장군 기장읍 기장해안로 147
5th row부산광역시 기장군 기장읍 기장해안로 147
ValueCountFrequency (%)
서울특별시 2611
 
9.8%
경기도 1946
 
7.3%
중구 682
 
2.6%
부산광역시 521
 
2.0%
송파구 421
 
1.6%
파주시 350
 
1.3%
제주특별자치도 278
 
1.0%
제주시 265
 
1.0%
기장군 256
 
1.0%
올림픽로 251
 
0.9%
Other values (1894) 19069
71.6%
2023-12-12T13:06:44.750399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21300
 
18.5%
시 6314
 
5.5%
로 5658
 
4.9%
구 4624
 
4.0%
1 3834
 
3.3%
서 3121
 
2.7%
도 2893
 
2.5%
별 2891
 
2.5%
특 2890
 
2.5%
울 2708
 
2.3%
Other values (305) 59059
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74733
64.8%
Space Separator 21300
 
18.5%
Decimal Number 18890
 
16.4%
Dash Punctuation 365
 
0.3%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6314
 
8.4%
로 5658
 
7.6%
구 4624
 
6.2%
서 3121
 
4.2%
도 2893
 
3.9%
별 2891
 
3.9%
특 2890
 
3.9%
울 2708
 
3.6%
기 2682
 
3.6%
경 2213
 
3.0%
Other values (290) 38739
51.8%
Decimal Number
ValueCountFrequency (%)
1 3834
20.3%
0 2682
14.2%
2 2456
13.0%
3 1825
9.7%
5 1695
9.0%
4 1634
8.7%
7 1556
8.2%
6 1225
 
6.5%
9 1039
 
5.5%
8 944
 
5.0%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
. 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
21300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 365
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74733
64.8%
Common 40559
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6314
 
8.4%
로 5658
 
7.6%
구 4624
 
6.2%
서 3121
 
4.2%
도 2893
 
3.9%
별 2891
 
3.9%
특 2890
 
3.9%
울 2708
 
3.6%
기 2682
 
3.6%
경 2213
 
3.0%
Other values (290) 38739
51.8%
Common
ValueCountFrequency (%)
21300
52.5%
1 3834
 
9.5%
0 2682
 
6.6%
2 2456
 
6.1%
3 1825
 
4.5%
5 1695
 
4.2%
4 1634
 
4.0%
7 1556
 
3.8%
6 1225
 
3.0%
9 1039
 
2.6%
Other values (5) 1313
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74733
64.8%
ASCII 40557
35.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21300
52.5%
1 3834
 
9.5%
0 2682
 
6.6%
2 2456
 
6.1%
3 1825
 
4.5%
5 1695
 
4.2%
4 1634
 
4.0%
7 1556
 
3.8%
6 1225
 
3.0%
9 1039
 
2.6%
Other values (4) 1311
 
3.2%
Hangul
ValueCountFrequency (%)
시 6314
 
8.4%
로 5658
 
7.6%
구 4624
 
6.2%
서 3121
 
4.2%
도 2893
 
3.9%
별 2891
 
3.9%
특 2890
 
3.9%
울 2708
 
3.6%
기 2682
 
3.6%
경 2213
 
3.0%
Other values (290) 38739
51.8%
None
ValueCountFrequency (%)
· 2
100.0%

지번 주소
Text

Distinct2147
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2023-12-12T13:06:45.170905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length18.950266
Min length14

Characters and Unicode

Total characters117359
Distinct characters264
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1753 ?
Unique (%)28.3%

Sample

1st row부산광역시 기장군 기장읍 당사리 64
2nd row부산광역시 기장군 기장읍 당사리 64
3rd row부산광역시 기장군 기장읍 당사리 64
4th row부산광역시 기장군 기장읍 당사리 64
5th row부산광역시 기장군 기장읍 당사리 64
ValueCountFrequency (%)
서울특별시 2606
 
9.8%
경기도 1946
 
7.3%
중구 683
 
2.6%
부산광역시 521
 
2.0%
송파구 421
 
1.6%
파주시 350
 
1.3%
제주특별자치도 278
 
1.0%
제주시 264
 
1.0%
기장군 256
 
1.0%
김포시 250
 
0.9%
Other values (2706) 19046
71.5%
2023-12-12T13:06:45.806055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20510
 
17.5%
시 6194
 
5.3%
동 5346
 
4.6%
구 4533
 
3.9%
1 4292
 
3.7%
- 3353
 
2.9%
서 3303
 
2.8%
2 3035
 
2.6%
도 2955
 
2.5%
별 2893
 
2.5%
Other values (254) 60945
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70206
59.8%
Decimal Number 23278
 
19.8%
Space Separator 20510
 
17.5%
Dash Punctuation 3353
 
2.9%
Other Punctuation 10
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6194
 
8.8%
동 5346
 
7.6%
구 4533
 
6.5%
서 3303
 
4.7%
도 2955
 
4.2%
별 2893
 
4.1%
특 2890
 
4.1%
울 2619
 
3.7%
기 2511
 
3.6%
경 2138
 
3.0%
Other values (239) 34824
49.6%
Decimal Number
ValueCountFrequency (%)
1 4292
18.4%
2 3035
13.0%
6 2658
11.4%
3 2411
10.4%
4 2312
9.9%
5 2142
9.2%
0 1755
7.5%
8 1675
 
7.2%
9 1575
 
6.8%
7 1423
 
6.1%
Space Separator
ValueCountFrequency (%)
20510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3353
100.0%
Other Punctuation
ValueCountFrequency (%)
? 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70206
59.8%
Common 47153
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6194
 
8.8%
동 5346
 
7.6%
구 4533
 
6.5%
서 3303
 
4.7%
도 2955
 
4.2%
별 2893
 
4.1%
특 2890
 
4.1%
울 2619
 
3.7%
기 2511
 
3.6%
경 2138
 
3.0%
Other values (239) 34824
49.6%
Common
ValueCountFrequency (%)
20510
43.5%
1 4292
 
9.1%
- 3353
 
7.1%
2 3035
 
6.4%
6 2658
 
5.6%
3 2411
 
5.1%
4 2312
 
4.9%
5 2142
 
4.5%
0 1755
 
3.7%
8 1675
 
3.6%
Other values (5) 3010
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70206
59.8%
ASCII 47153
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20510
43.5%
1 4292
 
9.1%
- 3353
 
7.1%
2 3035
 
6.4%
6 2658
 
5.6%
3 2411
 
5.1%
4 2312
 
4.9%
5 2142
 
4.5%
0 1755
 
3.7%
8 1675
 
3.6%
Other values (5) 3010
 
6.4%
Hangul
ValueCountFrequency (%)
시 6194
 
8.8%
동 5346
 
7.6%
구 4533
 
6.5%
서 3303
 
4.7%
도 2955
 
4.2%
별 2893
 
4.1%
특 2890
 
4.1%
울 2619
 
3.7%
기 2511
 
3.6%
경 2138
 
3.0%
Other values (239) 34824
49.6%

상세주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1655
Missing (%)26.7%
Memory size48.5 KiB

GPS X축
Real number (ℝ)

HIGH CORRELATION 

Distinct3716
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.980226
Minimum33.247719
Maximum38.204022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.6 KiB
2023-12-12T13:06:46.001659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.247719
5-th percentile34.954107
Q137.252051
median37.512212
Q337.564118
95-th percentile37.718754
Maximum38.204022
Range4.9563033
Interquartile range (IQR)0.3120674

Descriptive statistics

Standard deviation1.1033704
Coefficient of variation (CV)0.029836766
Kurtosis2.481922
Mean36.980226
Median Absolute Deviation (MAD)0.0875725
Skewness-1.8778733
Sum229018.54
Variance1.2174261
MonotonicityNot monotonic
2023-12-12T13:06:46.216974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5138348 65
 
1.0%
37.3939825 44
 
0.7%
37.5622261 41
 
0.7%
37.5122119 41
 
0.7%
37.513373 40
 
0.6%
37.5137233 38
 
0.6%
35.2244068 36
 
0.6%
37.2520508 35
 
0.6%
37.5990555 35
 
0.6%
37.2255512 35
 
0.6%
Other values (3706) 5783
93.4%
ValueCountFrequency (%)
33.247719 1
< 0.1%
33.2478314 1
< 0.1%
33.2478929 1
< 0.1%
33.2482029 1
< 0.1%
33.248261 1
< 0.1%
33.2482709 1
< 0.1%
33.2485129 1
< 0.1%
33.2485182 1
< 0.1%
33.2485714 1
< 0.1%
33.2486208 1
< 0.1%
ValueCountFrequency (%)
38.2040223 1
< 0.1%
38.2023652 1
< 0.1%
38.2023047 1
< 0.1%
38.2022933 1
< 0.1%
38.2021742 1
< 0.1%
38.2018825 1
< 0.1%
38.2018747 1
< 0.1%
38.2016634 1
< 0.1%
38.2016372 1
< 0.1%
38.201574 1
< 0.1%

GPS Y축
Real number (ℝ)

Distinct3731
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.22108
Minimum126.22835
Maximum129.37298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.6 KiB
2023-12-12T13:06:46.405225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.22835
5-th percentile126.62996
Q1126.87297
median126.9851
Q3127.10393
95-th percentile129.12198
Maximum129.37298
Range3.1446293
Interquartile range (IQR)0.2309606

Descriptive statistics

Standard deviation0.73190615
Coefficient of variation (CV)0.0057530258
Kurtosis2.1167736
Mean127.22108
Median Absolute Deviation (MAD)0.118762
Skewness1.8830767
Sum787880.14
Variance0.53568662
MonotonicityNot monotonic
2023-12-12T13:06:46.623408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1037892 65
 
1.0%
126.9128852 44
 
0.7%
126.8013225 41
 
0.7%
127.0991584 41
 
0.7%
127.1039294 40
 
0.6%
127.1038665 38
 
0.6%
128.6821202 36
 
0.6%
127.227184 35
 
0.6%
127.1219227 35
 
0.6%
126.7855752 35
 
0.6%
Other values (3721) 5783
93.4%
ValueCountFrequency (%)
126.2283459 1
< 0.1%
126.2987633 1
< 0.1%
126.3519903 1
< 0.1%
126.3838641 1
< 0.1%
126.393586 1
< 0.1%
126.410326 1
< 0.1%
126.4394241 2
< 0.1%
126.4396826 1
< 0.1%
126.4565796 1
< 0.1%
126.4574052 1
< 0.1%
ValueCountFrequency (%)
129.3729752 1
 
< 0.1%
129.3378298 1
 
< 0.1%
129.3357497 1
 
< 0.1%
129.3308903 4
0.1%
129.324263 1
 
< 0.1%
129.3221649 1
 
< 0.1%
129.2365758 1
 
< 0.1%
129.2365736 1
 
< 0.1%
129.2365647 1
 
< 0.1%
129.2365624 1
 
< 0.1%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1034
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18197.073
Minimum1164
Maximum100372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.6 KiB
2023-12-12T13:06:46.854943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1164
5-th percentile3789
Q15551
median10596
Q321984
95-th percentile61408.8
Maximum100372
Range99208
Interquartile range (IQR)16433

Descriptive statistics

Standard deviation17685.501
Coefficient of variation (CV)0.97188713
Kurtosis0.45593234
Mean18197.073
Median Absolute Deviation (MAD)6033
Skewness1.3283785
Sum1.1269447 × 108
Variance3.1277693 × 108
MonotonicityNot monotonic
2023-12-12T13:06:47.059057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10135 231
 
3.7%
5551 199
 
3.2%
46084 172
 
2.8%
10862 172
 
2.8%
10881 166
 
2.7%
4563 144
 
2.3%
15360 140
 
2.3%
5838 131
 
2.1%
4536 128
 
2.1%
16621 128
 
2.1%
Other values (1024) 4582
74.0%
ValueCountFrequency (%)
1164 1
 
< 0.1%
1171 1
 
< 0.1%
1175 1
 
< 0.1%
1205 1
 
< 0.1%
1211 1
 
< 0.1%
1215 2
< 0.1%
1220 1
 
< 0.1%
1300 4
0.1%
1332 1
 
< 0.1%
1334 2
< 0.1%
ValueCountFrequency (%)
100372 1
 
< 0.1%
63643 1
 
< 0.1%
63595 1
 
< 0.1%
63591 8
0.1%
63585 1
 
< 0.1%
63572 1
 
< 0.1%
63535 1
 
< 0.1%
63526 1
 
< 0.1%
63333 1
 
< 0.1%
63325 1
 
< 0.1%

영업요일(1 월요일, 7 일요일)
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
1,2,3,4,5,6,7
5985 
1,2,3,4,5,6
 
122
2,3,4,5,6,7
 
45
1,3,4,5,6,7
 
17
1,2,3,4,5
 
14
Other values (5)
 
10

Length

Max length13
Median length13
Mean length12.926691
Min length9

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row1,2,3,4,5,6,7
2nd row1,2,3,4,5,6,7
3rd row1,2,3,4,5,6,7
4th row1,2,3,4,5,6,7
5th row1,2,3,4,5,6,7

Common Values

ValueCountFrequency (%)
1,2,3,4,5,6,7 5985
96.6%
1,2,3,4,5,6 122
 
2.0%
2,3,4,5,6,7 45
 
0.7%
1,3,4,5,6,7 17
 
0.3%
1,2,3,4,5 14
 
0.2%
1,2,3,4,5,7 4
 
0.1%
2,3,4,5,6 2
 
< 0.1%
1,2,3,5,6 2
 
< 0.1%
1,2,4,5,6,7 1
 
< 0.1%
1,2,4,5,6 1
 
< 0.1%

Length

2023-12-12T13:06:47.265996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:06:47.449351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1,2,3,4,5,6,7 5985
96.6%
1,2,3,4,5,6 122
 
2.0%
2,3,4,5,6,7 45
 
0.7%
1,3,4,5,6,7 17
 
0.3%
1,2,3,4,5 14
 
0.2%
1,2,3,4,5,7 4
 
0.1%
2,3,4,5,6 2
 
< 0.1%
1,2,3,5,6 2
 
< 0.1%
1,2,4,5,6,7 1
 
< 0.1%
1,2,4,5,6 1
 
< 0.1%

기타 휴업일
Text

Distinct113
Distinct (%)1.8%
Missing12
Missing (%)0.2%
Memory size48.5 KiB
2023-12-12T13:06:47.716606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length6.011325
Min length2

Characters and Unicode

Total characters37156
Distinct characters67
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

Unique49 ?
Unique (%)0.8%

Sample

1st row설날, 추석
2nd row설날, 추석
3rd row설날, 추석
4th row설날, 추석
5th row설날, 추석
ValueCountFrequency (%)
추석 3016
27.2%
설날 3008
27.2%
연중무휴 2465
22.3%
일요일 351
 
3.2%
월요일 246
 
2.2%
4주 223
 
2.0%
2 218
 
2.0%
월 216
 
2.0%
1회 182
 
1.6%
휴무 142
 
1.3%
Other values (54) 1007
 
9.1%
2023-12-12T13:06:48.138979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4968
13.4%
, 3734
10.0%
날 3019
8.1%
설 3018
8.1%
추 3017
8.1%
석 3017
8.1%
휴 2910
7.8%
무 2722
7.3%
연 2528
6.8%
중 2523
6.8%
Other values (57) 5700
15.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27510
74.0%
Space Separator 4968
 
13.4%
Other Punctuation 3753
 
10.1%
Decimal Number 925
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
날 3019
11.0%
설 3018
11.0%
추 3017
11.0%
석 3017
11.0%
휴 2910
10.6%
무 2722
9.9%
연 2528
9.2%
중 2523
9.2%
일 1370
5.0%
요 688
 
2.5%
Other values (47) 2698
9.8%
Decimal Number
ValueCountFrequency (%)
2 366
39.6%
4 265
28.6%
1 248
26.8%
3 40
 
4.3%
6 5
 
0.5%
5 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 3734
99.5%
/ 17
 
0.5%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
4968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27510
74.0%
Common 9646
 
26.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
날 3019
11.0%
설 3018
11.0%
추 3017
11.0%
석 3017
11.0%
휴 2910
10.6%
무 2722
9.9%
연 2528
9.2%
중 2523
9.2%
일 1370
5.0%
요 688
 
2.5%
Other values (47) 2698
9.8%
Common
ValueCountFrequency (%)
4968
51.5%
, 3734
38.7%
2 366
 
3.8%
4 265
 
2.7%
1 248
 
2.6%
3 40
 
0.4%
/ 17
 
0.2%
6 5
 
0.1%
. 2
 
< 0.1%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27510
74.0%
ASCII 9646
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4968
51.5%
, 3734
38.7%
2 366
 
3.8%
4 265
 
2.7%
1 248
 
2.6%
3 40
 
0.4%
/ 17
 
0.2%
6 5
 
0.1%
. 2
 
< 0.1%
5 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
날 3019
11.0%
설 3018
11.0%
추 3017
11.0%
석 3017
11.0%
휴 2910
10.6%
무 2722
9.9%
연 2528
9.2%
중 2523
9.2%
일 1370
5.0%
요 688
 
2.5%
Other values (47) 2698
9.8%

운영시간(월)
Text

Distinct174
Distinct (%)2.8%
Missing48
Missing (%)0.8%
Memory size48.5 KiB
2023-12-12T13:06:48.488966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters67595
Distinct characters12
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

Unique70 ?
Unique (%)1.1%

Sample

1st row10:30,20:30
2nd row10:30,20:30
3rd row10:30,20:30
4th row10:30,20:30
5th row10:30,20:30
ValueCountFrequency (%)
10:30,21:00 987
16.1%
10:30,20:00 745
12.1%
10:00,22:00 573
 
9.3%
11:00,21:00 562
 
9.1%
10:30,20:30 487
 
7.9%
10:30,22:00 293
 
4.8%
10:00,21:00 261
 
4.2%
10:00,20:00 259
 
4.2%
10:00,23:00 212
 
3.4%
11:00,22:00 208
 
3.4%
Other values (164) 1558
25.4%
2023-12-12T13:06:48.988329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27258
40.3%
: 12290
18.2%
1 9428
 
13.9%
2 7316
 
10.8%
, 6145
 
9.1%
3 4378
 
6.5%
9 403
 
0.6%
4 223
 
0.3%
8 112
 
0.2%
5 27
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49160
72.7%
Other Punctuation 18435
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27258
55.4%
1 9428
 
19.2%
2 7316
 
14.9%
3 4378
 
8.9%
9 403
 
0.8%
4 223
 
0.5%
8 112
 
0.2%
5 27
 
0.1%
7 8
 
< 0.1%
6 7
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 12290
66.7%
, 6145
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 67595
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27258
40.3%
: 12290
18.2%
1 9428
 
13.9%
2 7316
 
10.8%
, 6145
 
9.1%
3 4378
 
6.5%
9 403
 
0.6%
4 223
 
0.3%
8 112
 
0.2%
5 27
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27258
40.3%
: 12290
18.2%
1 9428
 
13.9%
2 7316
 
10.8%
, 6145
 
9.1%
3 4378
 
6.5%
9 403
 
0.6%
4 223
 
0.3%
8 112
 
0.2%
5 27
 
< 0.1%
Other values (2) 15
 
< 0.1%

운영시간(화)
Text

Distinct175
Distinct (%)2.8%
Missing28
Missing (%)0.5%
Memory size48.5 KiB
2023-12-12T13:06:49.348557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters67815
Distinct characters12
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

Unique70 ?
Unique (%)1.1%

Sample

1st row10:30,20:30
2nd row10:30,20:30
3rd row10:30,20:30
4th row10:30,20:30
5th row10:30,20:30
ValueCountFrequency (%)
10:30,21:00 991
16.1%
10:30,20:00 745
12.1%
10:00,22:00 573
 
9.3%
11:00,21:00 562
 
9.1%
10:30,20:30 488
 
7.9%
10:30,22:00 293
 
4.8%
10:00,21:00 262
 
4.2%
10:00,20:00 261
 
4.2%
10:00,23:00 212
 
3.4%
11:00,22:00 208
 
3.4%
Other values (165) 1570
25.5%
2023-12-12T13:06:49.996098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27341
40.3%
: 12330
18.2%
1 9451
 
13.9%
2 7339
 
10.8%
, 6165
 
9.1%
3 4408
 
6.5%
9 401
 
0.6%
4 223
 
0.3%
8 113
 
0.2%
5 29
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49320
72.7%
Other Punctuation 18495
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27341
55.4%
1 9451
 
19.2%
2 7339
 
14.9%
3 4408
 
8.9%
9 401
 
0.8%
4 223
 
0.5%
8 113
 
0.2%
5 29
 
0.1%
7 8
 
< 0.1%
6 7
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 12330
66.7%
, 6165
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 67815
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27341
40.3%
: 12330
18.2%
1 9451
 
13.9%
2 7339
 
10.8%
, 6165
 
9.1%
3 4408
 
6.5%
9 401
 
0.6%
4 223
 
0.3%
8 113
 
0.2%
5 29
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27341
40.3%
: 12330
18.2%
1 9451
 
13.9%
2 7339
 
10.8%
, 6165
 
9.1%
3 4408
 
6.5%
9 401
 
0.6%
4 223
 
0.3%
8 113
 
0.2%
5 29
 
< 0.1%
Other values (2) 15
 
< 0.1%

운영시간(수)
Text

Distinct177
Distinct (%)2.9%
Missing2
Missing (%)< 0.1%
Memory size48.5 KiB
2023-12-12T13:06:50.433572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters68101
Distinct characters12
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

Unique72 ?
Unique (%)1.2%

Sample

1st row10:30,20:30
2nd row10:30,20:30
3rd row10:30,20:30
4th row10:30,20:30
5th row10:30,20:30
ValueCountFrequency (%)
10:30,21:00 1001
16.2%
10:30,20:00 744
12.0%
10:00,22:00 573
 
9.3%
11:00,21:00 563
 
9.1%
10:30,20:30 487
 
7.9%
10:30,22:00 293
 
4.7%
10:00,20:00 261
 
4.2%
10:00,21:00 261
 
4.2%
10:00,23:00 213
 
3.4%
11:00,22:00 208
 
3.4%
Other values (167) 1587
25.6%
2023-12-12T13:06:50.988726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27447
40.3%
: 12382
18.2%
1 9497
 
13.9%
2 7361
 
10.8%
, 6191
 
9.1%
3 4440
 
6.5%
9 403
 
0.6%
4 224
 
0.3%
8 111
 
0.2%
5 29
 
< 0.1%
Other values (2) 16
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49528
72.7%
Other Punctuation 18573
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27447
55.4%
1 9497
 
19.2%
2 7361
 
14.9%
3 4440
 
9.0%
9 403
 
0.8%
4 224
 
0.5%
8 111
 
0.2%
5 29
 
0.1%
7 9
 
< 0.1%
6 7
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 12382
66.7%
, 6191
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 68101
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27447
40.3%
: 12382
18.2%
1 9497
 
13.9%
2 7361
 
10.8%
, 6191
 
9.1%
3 4440
 
6.5%
9 403
 
0.6%
4 224
 
0.3%
8 111
 
0.2%
5 29
 
< 0.1%
Other values (2) 16
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27447
40.3%
: 12382
18.2%
1 9497
 
13.9%
2 7361
 
10.8%
, 6191
 
9.1%
3 4440
 
6.5%
9 403
 
0.6%
4 224
 
0.3%
8 111
 
0.2%
5 29
 
< 0.1%
Other values (2) 16
 
< 0.1%

운영시간(목)
Text

Distinct175
Distinct (%)2.8%
Missing2
Missing (%)< 0.1%
Memory size48.5 KiB
2023-12-12T13:06:51.381194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters68101
Distinct characters12
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

Unique71 ?
Unique (%)1.1%

Sample

1st row10:30,20:30
2nd row10:30,20:30
3rd row10:30,20:30
4th row10:30,20:30
5th row10:30,20:30
ValueCountFrequency (%)
10:30,21:00 1002
16.2%
10:30,20:00 744
12.0%
10:00,22:00 573
 
9.3%
11:00,21:00 562
 
9.1%
10:30,20:30 489
 
7.9%
10:30,22:00 293
 
4.7%
10:00,21:00 262
 
4.2%
10:00,20:00 261
 
4.2%
10:00,23:00 213
 
3.4%
11:00,22:00 208
 
3.4%
Other values (165) 1584
25.6%
2023-12-12T13:06:51.935955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27446
40.3%
: 12382
18.2%
1 9496
 
13.9%
2 7365
 
10.8%
, 6191
 
9.1%
3 4444
 
6.5%
9 400
 
0.6%
4 223
 
0.3%
8 111
 
0.2%
5 28
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49528
72.7%
Other Punctuation 18573
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27446
55.4%
1 9496
 
19.2%
2 7365
 
14.9%
3 4444
 
9.0%
9 400
 
0.8%
4 223
 
0.5%
8 111
 
0.2%
5 28
 
0.1%
7 8
 
< 0.1%
6 7
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 12382
66.7%
, 6191
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 68101
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27446
40.3%
: 12382
18.2%
1 9496
 
13.9%
2 7365
 
10.8%
, 6191
 
9.1%
3 4444
 
6.5%
9 400
 
0.6%
4 223
 
0.3%
8 111
 
0.2%
5 28
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27446
40.3%
: 12382
18.2%
1 9496
 
13.9%
2 7365
 
10.8%
, 6191
 
9.1%
3 4444
 
6.5%
9 400
 
0.6%
4 223
 
0.3%
8 111
 
0.2%
5 28
 
< 0.1%
Other values (2) 15
 
< 0.1%

운영시간(금)
Text

Distinct179
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2023-12-12T13:06:52.309783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters68123
Distinct characters12
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

Unique75 ?
Unique (%)1.2%

Sample

1st row10:30,21:00
2nd row10:30,21:00
3rd row10:30,21:00
4th row10:30,21:00
5th row10:30,21:00
ValueCountFrequency (%)
10:30,21:00 1246
20.1%
10:00,22:00 586
 
9.5%
11:00,21:00 540
 
8.7%
10:30,20:00 479
 
7.7%
10:30,20:30 453
 
7.3%
10:30,22:00 336
 
5.4%
10:00,21:00 252
 
4.1%
10:00,20:00 245
 
4.0%
11:00,22:00 235
 
3.8%
10:00,23:00 214
 
3.5%
Other values (169) 1607
25.9%
2023-12-12T13:06:52.841426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27088
39.8%
: 12386
18.2%
1 9713
 
14.3%
2 7462
 
11.0%
, 6193
 
9.1%
3 4499
 
6.6%
9 401
 
0.6%
4 223
 
0.3%
8 111
 
0.2%
5 32
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49544
72.7%
Other Punctuation 18579
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27088
54.7%
1 9713
 
19.6%
2 7462
 
15.1%
3 4499
 
9.1%
9 401
 
0.8%
4 223
 
0.5%
8 111
 
0.2%
5 32
 
0.1%
7 8
 
< 0.1%
6 7
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 12386
66.7%
, 6193
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 68123
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27088
39.8%
: 12386
18.2%
1 9713
 
14.3%
2 7462
 
11.0%
, 6193
 
9.1%
3 4499
 
6.6%
9 401
 
0.6%
4 223
 
0.3%
8 111
 
0.2%
5 32
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68123
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27088
39.8%
: 12386
18.2%
1 9713
 
14.3%
2 7462
 
11.0%
, 6193
 
9.1%
3 4499
 
6.6%
9 401
 
0.6%
4 223
 
0.3%
8 111
 
0.2%
5 32
 
< 0.1%
Other values (2) 15
 
< 0.1%

운영시간(토)
Text

Distinct193
Distinct (%)3.1%
Missing18
Missing (%)0.3%
Memory size48.5 KiB
2023-12-12T13:06:53.218708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters67925
Distinct characters12
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

Unique84 ?
Unique (%)1.4%

Sample

1st row10:30,21:00
2nd row10:30,21:00
3rd row10:30,21:00
4th row10:30,21:00
5th row10:30,21:00
ValueCountFrequency (%)
10:30,21:00 1293
20.9%
10:00,22:00 587
 
9.5%
11:00,21:00 530
 
8.6%
10:30,20:30 509
 
8.2%
10:30,20:00 364
 
5.9%
10:30,22:00 338
 
5.5%
11:00,22:00 269
 
4.4%
10:00,21:00 248
 
4.0%
10:00,23:00 220
 
3.6%
10:00,20:00 217
 
3.5%
Other values (183) 1600
25.9%
2023-12-12T13:06:53.809912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26778
39.4%
: 12350
18.2%
1 9795
 
14.4%
2 7459
 
11.0%
, 6175
 
9.1%
3 4619
 
6.8%
9 358
 
0.5%
4 228
 
0.3%
8 87
 
0.1%
5 36
 
0.1%
Other values (2) 40
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49400
72.7%
Other Punctuation 18525
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26778
54.2%
1 9795
 
19.8%
2 7459
 
15.1%
3 4619
 
9.4%
9 358
 
0.7%
4 228
 
0.5%
8 87
 
0.2%
5 36
 
0.1%
7 24
 
< 0.1%
6 16
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 12350
66.7%
, 6175
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 67925
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26778
39.4%
: 12350
18.2%
1 9795
 
14.4%
2 7459
 
11.0%
, 6175
 
9.1%
3 4619
 
6.8%
9 358
 
0.5%
4 228
 
0.3%
8 87
 
0.1%
5 36
 
0.1%
Other values (2) 40
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26778
39.4%
: 12350
18.2%
1 9795
 
14.4%
2 7459
 
11.0%
, 6175
 
9.1%
3 4619
 
6.8%
9 358
 
0.5%
4 228
 
0.3%
8 87
 
0.1%
5 36
 
0.1%
Other values (2) 40
 
0.1%

운영시간(일)
Text

MISSING 

Distinct171
Distinct (%)2.8%
Missing143
Missing (%)2.3%
Memory size48.5 KiB
2023-12-12T13:06:54.165183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters66550
Distinct characters12
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

Unique69 ?
Unique (%)1.1%

Sample

1st row10:30,21:00
2nd row10:30,21:00
3rd row10:30,21:00
4th row10:30,21:00
5th row10:30,21:00
ValueCountFrequency (%)
10:30,21:00 1292
21.4%
10:00,22:00 565
 
9.3%
11:00,21:00 531
 
8.8%
10:30,20:30 501
 
8.3%
10:30,20:00 358
 
5.9%
10:30,22:00 336
 
5.6%
11:00,22:00 270
 
4.5%
10:00,21:00 248
 
4.1%
10:00,23:00 216
 
3.6%
10:00,20:00 203
 
3.4%
Other values (161) 1530
25.3%
2023-12-12T13:06:54.710305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26136
39.3%
: 12100
18.2%
1 9669
 
14.5%
2 7375
 
11.1%
, 6050
 
9.1%
3 4588
 
6.9%
9 292
 
0.4%
4 222
 
0.3%
8 72
 
0.1%
5 30
 
< 0.1%
Other values (2) 16
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48400
72.7%
Other Punctuation 18150
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26136
54.0%
1 9669
 
20.0%
2 7375
 
15.2%
3 4588
 
9.5%
9 292
 
0.6%
4 222
 
0.5%
8 72
 
0.1%
5 30
 
0.1%
7 11
 
< 0.1%
6 5
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 12100
66.7%
, 6050
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 66550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26136
39.3%
: 12100
18.2%
1 9669
 
14.5%
2 7375
 
11.1%
, 6050
 
9.1%
3 4588
 
6.9%
9 292
 
0.4%
4 222
 
0.3%
8 72
 
0.1%
5 30
 
< 0.1%
Other values (2) 16
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26136
39.3%
: 12100
18.2%
1 9669
 
14.5%
2 7375
 
11.1%
, 6050
 
9.1%
3 4588
 
6.9%
9 292
 
0.4%
4 222
 
0.3%
8 72
 
0.1%
5 30
 
< 0.1%
Other values (2) 16
 
< 0.1%

전화번호
Text

MISSING 

Distinct5328
Distinct (%)93.4%
Missing489
Missing (%)7.9%
Memory size48.5 KiB
2023-12-12T13:06:55.045728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.897616
Min length2

Characters and Unicode

Total characters67864
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5113 ?
Unique (%)89.6%

Sample

1st row051-901-2518
2nd row051-901-2303
3rd row051-901-2416
4th row051-901-2414
5th row051-901-2514
ValueCountFrequency (%)
거절 75
 
1.3%
1833-9001 15
 
0.3%
031-8031-2500 11
 
0.2%
02-081-0114 11
 
0.2%
02-2081-0114 10
 
0.2%
032-727-2233 7
 
0.1%
031-8048-2612 6
 
0.1%
1577-6347 6
 
0.1%
031-922-5588 6
 
0.1%
031-8048-2254 5
 
0.1%
Other values (5318) 5552
97.3%
2023-12-12T13:06:55.565570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11222
16.5%
0 10770
15.9%
2 8583
12.6%
3 6725
9.9%
1 6667
9.8%
6 4246
 
6.3%
5 4203
 
6.2%
4 4165
 
6.1%
7 4148
 
6.1%
8 3921
 
5.8%
Other values (8) 3214
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56487
83.2%
Dash Punctuation 11222
 
16.5%
Other Letter 153
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10770
19.1%
2 8583
15.2%
3 6725
11.9%
1 6667
11.8%
6 4246
 
7.5%
5 4203
 
7.4%
4 4165
 
7.4%
7 4148
 
7.3%
8 3921
 
6.9%
9 3059
 
5.4%
Other Letter
ValueCountFrequency (%)
거 75
49.0%
절 75
49.0%
시 1
 
0.7%
ㅂ 1
 
0.7%
ㅑ 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
* 1
50.0%
. 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 11222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67711
99.8%
Hangul 153
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 11222
16.6%
0 10770
15.9%
2 8583
12.7%
3 6725
9.9%
1 6667
9.8%
6 4246
 
6.3%
5 4203
 
6.2%
4 4165
 
6.2%
7 4148
 
6.1%
8 3921
 
5.8%
Other values (3) 3061
 
4.5%
Hangul
ValueCountFrequency (%)
거 75
49.0%
절 75
49.0%
시 1
 
0.7%
ㅂ 1
 
0.7%
ㅑ 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67711
99.8%
Hangul 151
 
0.2%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11222
16.6%
0 10770
15.9%
2 8583
12.7%
3 6725
9.9%
1 6667
9.8%
6 4246
 
6.3%
5 4203
 
6.2%
4 4165
 
6.2%
7 4148
 
6.1%
8 3921
 
5.8%
Other values (3) 3061
 
4.5%
Hangul
ValueCountFrequency (%)
거 75
49.7%
절 75
49.7%
시 1
 
0.7%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
50.0%
ㅑ 1
50.0%

홈페이지주소
Text

MISSING 

Distinct782
Distinct (%)56.9%
Missing4818
Missing (%)77.8%
Memory size48.5 KiB
2023-12-12T13:06:55.945312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length185
Median length50
Mean length21.621818
Min length2

Characters and Unicode

Total characters29730
Distinct characters64
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

Unique620 ?
Unique (%)45.1%

Sample

1st rowwww.daehyun.co.kr
2nd rowwww.vincis-bench.co.kr
3rd rowwww.michaa.com
4th rowhttps://www.anneklein.com/
5th rowhttp://www.mandarinaduck.co.kr/
ValueCountFrequency (%)
premiumoutlets.co.kr/busan 79
 
5.6%
http://www.lotteshopping.com 63
 
4.5%
www.oliveyoung.co.kr 46
 
3.3%
https://www.lotteshopping.com 38
 
2.7%
www.e-himart.co.kr 18
 
1.3%
global.oliveyoung.com 17
 
1.2%
http://www.e-himart.co.kr 16
 
1.1%
http://www.oliveyoung.co.kr 15
 
1.1%
http://www.thehandsome.com 14
 
1.0%
www.ssfshop.com 13
 
0.9%
Other values (762) 1093
77.4%
2023-12-12T13:06:56.566363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 3263
 
11.0%
. 3183
 
10.7%
o 2792
 
9.4%
t 2016
 
6.8%
c 1667
 
5.6%
m 1426
 
4.8%
e 1411
 
4.7%
r 1341
 
4.5%
/ 1288
 
4.3%
s 1088
 
3.7%
Other values (54) 10255
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24305
81.8%
Other Punctuation 4999
 
16.8%
Decimal Number 187
 
0.6%
Dash Punctuation 117
 
0.4%
Uppercase Letter 43
 
0.1%
Space Separator 37
 
0.1%
Math Symbol 20
 
0.1%
Connector Punctuation 19
 
0.1%
Other Letter 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 3263
13.4%
o 2792
 
11.5%
t 2016
 
8.3%
c 1667
 
6.9%
m 1426
 
5.9%
e 1411
 
5.8%
r 1341
 
5.5%
s 1088
 
4.5%
p 1057
 
4.3%
a 1037
 
4.3%
Other values (16) 7207
29.7%
Uppercase Letter
ValueCountFrequency (%)
S 6
14.0%
B 6
14.0%
G 5
11.6%
M 5
11.6%
H 3
7.0%
R 3
7.0%
D 3
7.0%
A 3
7.0%
E 3
7.0%
I 2
 
4.7%
Other values (3) 4
9.3%
Decimal Number
ValueCountFrequency (%)
0 60
32.1%
1 40
21.4%
4 17
 
9.1%
2 14
 
7.5%
5 13
 
7.0%
9 10
 
5.3%
3 10
 
5.3%
6 9
 
4.8%
7 8
 
4.3%
8 6
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 3183
63.7%
/ 1288
25.8%
: 490
 
9.8%
, 16
 
0.3%
& 12
 
0.2%
? 7
 
0.1%
@ 3
 
0.1%
Other Letter
ValueCountFrequency (%)
코 1
33.3%
리 1
33.3%
아 1
33.3%
Math Symbol
ValueCountFrequency (%)
= 17
85.0%
> 3
 
15.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24348
81.9%
Common 5379
 
18.1%
Hangul 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 3263
13.4%
o 2792
 
11.5%
t 2016
 
8.3%
c 1667
 
6.8%
m 1426
 
5.9%
e 1411
 
5.8%
r 1341
 
5.5%
s 1088
 
4.5%
p 1057
 
4.3%
a 1037
 
4.3%
Other values (29) 7250
29.8%
Common
ValueCountFrequency (%)
. 3183
59.2%
/ 1288
23.9%
: 490
 
9.1%
- 117
 
2.2%
0 60
 
1.1%
1 40
 
0.7%
37
 
0.7%
_ 19
 
0.4%
= 17
 
0.3%
4 17
 
0.3%
Other values (12) 111
 
2.1%
Hangul
ValueCountFrequency (%)
코 1
33.3%
리 1
33.3%
아 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29727
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 3263
 
11.0%
. 3183
 
10.7%
o 2792
 
9.4%
t 2016
 
6.8%
c 1667
 
5.6%
m 1426
 
4.8%
e 1411
 
4.7%
r 1341
 
4.5%
/ 1288
 
4.3%
s 1088
 
3.7%
Other values (51) 10252
34.5%
Hangul
ValueCountFrequency (%)
코 1
33.3%
리 1
33.3%
아 1
33.3%

Interactions

2023-12-12T13:06:40.748995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:39.883530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:40.301306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:40.876763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:40.017063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:40.479062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:41.037687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:40.162052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:06:40.620888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:06:56.707733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GPS X축GPS Y축우편번호영업요일(1 월요일, 7 일요일)
GPS X축1.0000.8340.8330.145
GPS Y축0.8341.0000.8060.345
우편번호0.8330.8061.0000.142
영업요일(1 월요일, 7 일요일)0.1450.3450.1421.000
2023-12-12T13:06:56.820077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GPS X축GPS Y축우편번호영업요일(1 월요일, 7 일요일)
GPS X축1.000-0.323-0.7290.066
GPS Y축-0.3231.0000.1020.112
우편번호-0.7290.1021.0000.068
영업요일(1 월요일, 7 일요일)0.0660.1120.0681.000

Missing values

2023-12-12T13:06:41.285260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:06:41.673986image/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.
2023-12-12T13:06:42.222365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

영업장명도로명 주소지번 주소상세주소GPS X축GPS Y축우편번호영업요일(1 월요일, 7 일요일)기타 휴업일운영시간(월)운영시간(화)운영시간(수)운영시간(목)운영시간(금)운영시간(토)운영시간(일)전화번호홈페이지주소
0빈폴 롯데 동부산점부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점35.191273129.21342460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2518<NA>
1구찌 롯데 아울렛 동부산점부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점35.192474129.213547460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2303<NA>
2대현 모조에스핀 롯데동부산부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점 1층35.191273129.21342460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2416www.daehyun.co.kr
3롯데아울렛 동부산점(마인)부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점35.191715129.213868460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2414<NA>
4LF 닥스신사 롯데동부산부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점35.192505129.213461460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2514<NA>
5듀코_롯데(아)동부산_빈치스부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 641층35.191273129.21342460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2368www.vincis-bench.co.kr
6미샤 롯데동부산부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점35.192123129.212934460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2418www.michaa.com
7앤클라인 롯데동부산부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점 1층 앤클라인35.192436129.21197460841,2,3,4,5,6,7설날, 추석10:00,20:3010:00,20:3010:00,20:3010:00,20:3010:00,21:0010:00,21:0010:00,21:00051-901-2375https://www.anneklein.com/
8BCBG 롯데동부산부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점 1층35.191774129.213438460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2403<NA>
9LF 마에스트로 롯데동부산부산광역시 기장군 기장읍 기장해안로 147부산광역시 기장군 기장읍 당사리 64롯데몰동부산점35.192976129.212927460841,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:0010:30,21:00051-901-2516<NA>
영업장명도로명 주소지번 주소상세주소GPS X축GPS Y축우편번호영업요일(1 월요일, 7 일요일)기타 휴업일운영시간(월)운영시간(화)운영시간(수)운영시간(목)운영시간(금)운영시간(토)운영시간(일)전화번호홈페이지주소
6183EJ OST 롯데아울렛 서울역점서울특별시 중구 한강대로 405서울특별시 중구 봉래동2가 122-11롯데아울렛 서울역점 2층37.554074126.97095445091,2,3,4,5,6,7설날, 추석11:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0002-2623-0009<NA>
6184LYNN 롯데아울렛 서울역점서울특별시 중구 한강대로 405서울특별시 중구 봉래동2가 122-11롯데아울렛 서울역점 2층37.784495127.0683145091,2,3,4,5,6,7설날, 추석11:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0002-6965-2680<NA>
6185금강제화 부평점인천광역시 부평구 부평대로 28인천광역시 부평구 부평동 199-45NaN37.492925126.724403213941,2,3,4,5,6,7연중무휴11:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:0011:00,21:00032-340-3325<NA>
6186뮤제이옹전라남도 순천시 금곡길 15전라남도 순천시 행동 65-23NaN34.954863127.482407579411,2,3,4,5,6,7설날, 추석10:00,19:0010:00,19:0010:00,19:0010:00,19:0010:00,19:0010:00,19:0013:00,16:00<NA><NA>
6187지오지아 여수점전라남도 여수시 통제영3길 12-5전라남도 여수시 교동 304-2NaN34.741002127.734565597361,2,3,4,5,6,7설날, 추석10:00,21:3010:00,21:3010:00,21:3010:00,21:3010:00,21:3010:00,21:3010:00,21:30061-666-3928<NA>
6188보성녹차전라남도 보성군 보성읍 녹차로 750전라남도 보성군 보성읍 봉산리 1297-6NaN34.71338127.087857594481,2,3,4,5,6,71주 월요일10:00,21:0010:00,21:0010:00,21:0010:00,21:0010:00,21:0010:00,21:0010:00,21:00061-850-5966<NA>
6189더페이스샵 이마트남원점전라북도 남원시 남문로 385-16전라북도 남원시 왕정동 146-1이마트 남원점35.407801127.375214557641,2,3,4,5,6,7월 2회 비정기적 휴무10:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:00063-633-9401<NA>
6190프로스펙스 롯데아울렛 부여점충청남도 부여군 규암면 백제문로387충청남도 부여군 규암면 합정리 172롯데아울렛 부여점36.307707126.901993331151,2,3,4,5,6,7설날, 추석10:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,20:3010:30,21:0010:30,21:00041-435-2714<NA>
6191정관장 홈플러스 천안점충청남도 천안시 동남구 천안대로 574충청남도 천안시 동남구 구성동 50홈플러스 천안점36.799398127.164875310691,2,3,4,5,6,72, 4주 일요일10:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:00041-565-2304http://www.kgc.co.kr
6192더페이스샵 홈플러스 천안점충청남도 천안시 동남구 천안대로 574충청남도 천안시 동남구 구성동 50홈플러스 천안점36.799398127.164875310691,2,3,4,5,6,72, 4주 일요일10:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:0010:00,22:00070-4185-7082<NA>

Duplicate rows

Most frequently occurring

영업장명도로명 주소지번 주소GPS X축GPS Y축우편번호영업요일(1 월요일, 7 일요일)기타 휴업일운영시간(월)운영시간(화)운영시간(수)운영시간(목)운영시간(금)운영시간(토)운영시간(일)전화번호홈페이지주소# duplicates
0미샤 신세계파주경기도 파주시 탄현면 필승로 200경기도 파주시 탄현면 법흥리 1790-837.76912126.695542108621,2,3,4,5,6,7설날, 추석10:30,21:0010:30,21:0010:30,21:0010:30,21:0010:30,21:0010:30,21:0010:30,21:00031-8071-7573<NA>2