Overview

Dataset statistics

Number of variables10
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows5
Duplicate rows (%)2.5%
Total size in memory16.5 KiB
Average record size in memory84.7 B

Variable types

Categorical7
Numeric2
Text1

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXEGOGLRESTRT

Alerts

20211020 has constant value ""Constant
Dataset has 5 (2.5%) duplicate rowsDuplicates
064노트 is highly overall correlated with 카페 and 1 other fieldsHigh correlation
카페 is highly overall correlated with 064노트 and 1 other fieldsHigh correlation
29.0 is highly overall correlated with 54 and 1 other fieldsHigh correlation
54 is highly overall correlated with 29.0 and 1 other fieldsHigh correlation
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs is highly overall correlated with 29.0 and 1 other fieldsHigh correlation
2주 전 is highly overall correlated with 064노트 and 1 other fieldsHigh correlation
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs is highly imbalanced (66.5%)Imbalance
29.0 has 24 (12.1%) zerosZeros
54 has 63 (31.7%) zerosZeros

Reproduction

Analysis started2023-12-10 06:29:26.989129
Analysis finished2023-12-10 06:29:29.842474
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

064노트
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1950하우스
94 
1300K 제주
43 
1080칼국수
32 
064노트
30 

Length

Max length8
Median length7
Mean length6.9145729
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row064노트
2nd row064노트
3rd row064노트
4th row064노트
5th row064노트

Common Values

ValueCountFrequency (%)
1950하우스 94
47.2%
1300K 제주 43
21.6%
1080칼국수 32
 
16.1%
064노트 30
 
15.1%

Length

2023-12-10T15:29:29.968513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:30.167744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1950하우스 94
38.8%
1300k 43
17.8%
제주 43
17.8%
1080칼국수 32
 
13.2%
064노트 30
 
12.4%

카페
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
음식점
126 
제주시의 기념품 상점
43 
카페
30 

Length

Max length11
Median length3
Mean length4.5778894
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음식점 126
63.3%
제주시의 기념품 상점 43
 
21.6%
카페 30
 
15.1%

Length

2023-12-10T15:29:30.370735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:30.539783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 126
44.2%
제주시의 43
 
15.1%
기념품 43
 
15.1%
상점 43
 
15.1%
카페 30
 
10.5%

지역 가이드
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
지역 가이드
105 
X
94 

Length

Max length6
Median length6
Mean length3.638191
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지역 가이드
2nd rowX
3rd rowX
4th rowX
5th row지역 가이드

Common Values

ValueCountFrequency (%)
지역 가이드 105
52.8%
X 94
47.2%

Length

2023-12-10T15:29:30.747814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:30.912350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역 105
34.5%
가이드 105
34.5%
x 94
30.9%

29.0
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct103
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.994975
Minimum0
Maximum1067
Zeros24
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:31.107578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q383
95-th percentile338.1
Maximum1067
Range1067
Interquartile range (IQR)80

Descriptive statistics

Standard deviation145.1685
Coefficient of variation (CV)1.8854283
Kurtosis18.026138
Mean76.994975
Median Absolute Deviation (MAD)21
Skewness3.7875247
Sum15322
Variance21073.894
MonotonicityNot monotonic
2023-12-10T15:29:31.365522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
12.1%
1 16
 
8.0%
2 9
 
4.5%
3 7
 
3.5%
25 4
 
2.0%
4 4
 
2.0%
10 4
 
2.0%
5 4
 
2.0%
35 3
 
1.5%
7 3
 
1.5%
Other values (93) 121
60.8%
ValueCountFrequency (%)
0 24
12.1%
1 16
8.0%
2 9
 
4.5%
3 7
 
3.5%
4 4
 
2.0%
5 4
 
2.0%
6 2
 
1.0%
7 3
 
1.5%
8 2
 
1.0%
9 2
 
1.0%
ValueCountFrequency (%)
1067 1
0.5%
849 1
0.5%
800 1
0.5%
659 1
0.5%
486 1
0.5%
417 1
0.5%
400 1
0.5%
384 1
0.5%
347 1
0.5%
339 1
0.5%

54
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct96
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388.87437
Minimum0
Maximum19946
Zeros63
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:31.615959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q399
95-th percentile1350.7
Maximum19946
Range19946
Interquartile range (IQR)99

Descriptive statistics

Standard deviation1769.8839
Coefficient of variation (CV)4.5512998
Kurtosis83.57712
Mean388.87437
Median Absolute Deviation (MAD)12
Skewness8.5394531
Sum77386
Variance3132488.8
MonotonicityNot monotonic
2023-12-10T15:29:31.890552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
31.7%
1 11
 
5.5%
2 7
 
3.5%
18 5
 
2.5%
13 4
 
2.0%
27 3
 
1.5%
9 3
 
1.5%
10 3
 
1.5%
26 2
 
1.0%
81 2
 
1.0%
Other values (86) 96
48.2%
ValueCountFrequency (%)
0 63
31.7%
1 11
 
5.5%
2 7
 
3.5%
3 2
 
1.0%
4 2
 
1.0%
5 2
 
1.0%
6 2
 
1.0%
7 1
 
0.5%
8 1
 
0.5%
9 3
 
1.5%
ValueCountFrequency (%)
19946 1
0.5%
10781 1
0.5%
8848 1
0.5%
3348 1
0.5%
2994 1
0.5%
2834 1
0.5%
2556 1
0.5%
1912 1
0.5%
1889 1
0.5%
1654 1
0.5%

케익이 맛있어요!
Text

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:29:32.372249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length423
Median length164
Mean length28.351759
Min length1

Characters and Unicode

Total characters5642
Distinct characters556
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)57.8%

Sample

1st rowX
2nd row조용하구 맛있어요
3rd rowX
4th rowX
5th row이쁘고 맛있게 먹고 왔습니다. 처음 보는 감자 케이크도 색다른 맛이네요.
ValueCountFrequency (%)
x 84
 
6.6%
정말 11
 
0.9%
맛있어요 10
 
0.8%
제주도 9
 
0.7%
너무 9
 
0.7%
그냥 9
 
0.7%
수 8
 
0.6%
맛있고 8
 
0.6%
진짜 6
 
0.5%
잘 6
 
0.5%
Other values (932) 1120
87.5%
2023-12-10T15:29:33.135472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1087
 
19.3%
. 168
 
3.0%
이 110
 
1.9%
다 106
 
1.9%
맛 92
 
1.6%
요 91
 
1.6%
는 87
 
1.5%
X 84
 
1.5%
도 77
 
1.4%
고 76
 
1.3%
Other values (546) 3664
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3938
69.8%
Space Separator 1087
 
19.3%
Other Punctuation 224
 
4.0%
Lowercase Letter 159
 
2.8%
Uppercase Letter 96
 
1.7%
Decimal Number 55
 
1.0%
Math Symbol 35
 
0.6%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%
Modifier Symbol 12
 
0.2%
Other values (4) 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 110
 
2.8%
다 106
 
2.7%
맛 92
 
2.3%
요 91
 
2.3%
는 87
 
2.2%
도 77
 
2.0%
고 76
 
1.9%
있 71
 
1.8%
가 70
 
1.8%
지 62
 
1.6%
Other values (483) 3096
78.6%
Lowercase Letter
ValueCountFrequency (%)
e 24
15.1%
o 22
13.8%
l 14
 
8.8%
i 11
 
6.9%
d 9
 
5.7%
n 9
 
5.7%
r 8
 
5.0%
a 7
 
4.4%
s 7
 
4.4%
g 7
 
4.4%
Other values (13) 41
25.8%
Decimal Number
ValueCountFrequency (%)
0 23
41.8%
1 7
 
12.7%
2 6
 
10.9%
6 4
 
7.3%
9 3
 
5.5%
5 3
 
5.5%
3 3
 
5.5%
8 2
 
3.6%
4 2
 
3.6%
7 2
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
X 84
87.5%
G 5
 
5.2%
J 1
 
1.0%
T 1
 
1.0%
M 1
 
1.0%
D 1
 
1.0%
V 1
 
1.0%
K 1
 
1.0%
C 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 168
75.0%
! 31
 
13.8%
; 15
 
6.7%
? 6
 
2.7%
/ 2
 
0.9%
# 1
 
0.4%
& 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 17
48.6%
| 15
42.9%
> 1
 
2.9%
< 1
 
2.9%
+ 1
 
2.9%
Other Symbol
ValueCountFrequency (%)
♡ 3
60.0%
❤ 2
40.0%
Space Separator
ValueCountFrequency (%)
1087
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 12
100.0%
Nonspacing Mark
ValueCountFrequency (%)
️ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3938
69.8%
Common 1447
 
25.6%
Latin 255
 
4.5%
Inherited 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 110
 
2.8%
다 106
 
2.7%
맛 92
 
2.3%
요 91
 
2.3%
는 87
 
2.2%
도 77
 
2.0%
고 76
 
1.9%
있 71
 
1.8%
가 70
 
1.8%
지 62
 
1.6%
Other values (483) 3096
78.6%
Latin
ValueCountFrequency (%)
X 84
32.9%
e 24
 
9.4%
o 22
 
8.6%
l 14
 
5.5%
i 11
 
4.3%
d 9
 
3.5%
n 9
 
3.5%
r 8
 
3.1%
a 7
 
2.7%
s 7
 
2.7%
Other values (22) 60
23.5%
Common
ValueCountFrequency (%)
1087
75.1%
. 168
 
11.6%
! 31
 
2.1%
0 23
 
1.6%
~ 17
 
1.2%
| 15
 
1.0%
; 15
 
1.0%
) 13
 
0.9%
( 13
 
0.9%
^ 12
 
0.8%
Other values (20) 53
 
3.7%
Inherited
ValueCountFrequency (%)
️ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3876
68.7%
ASCII 1697
30.1%
Compat Jamo 62
 
1.1%
Misc Symbols 3
 
0.1%
VS 2
 
< 0.1%
Dingbats 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1087
64.1%
. 168
 
9.9%
X 84
 
4.9%
! 31
 
1.8%
e 24
 
1.4%
0 23
 
1.4%
o 22
 
1.3%
~ 17
 
1.0%
| 15
 
0.9%
; 15
 
0.9%
Other values (50) 211
 
12.4%
Hangul
ValueCountFrequency (%)
이 110
 
2.8%
다 106
 
2.7%
맛 92
 
2.4%
요 91
 
2.3%
는 87
 
2.2%
도 77
 
2.0%
고 76
 
2.0%
있 71
 
1.8%
가 70
 
1.8%
지 62
 
1.6%
Other values (478) 3034
78.3%
Compat Jamo
ValueCountFrequency (%)
ㅋ 41
66.1%
ㅎ 13
 
21.0%
ㅠ 4
 
6.5%
ㅜ 3
 
4.8%
ㅣ 1
 
1.6%
Misc Symbols
ValueCountFrequency (%)
♡ 3
100.0%
VS
ValueCountFrequency (%)
️ 2
100.0%
Dingbats
ValueCountFrequency (%)
❤ 2
100.0%

https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
X
159 
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNJfEDWOmEu4IETIdoe53X5XzUHll4Bgxewpv6r&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEDs|1e10!2sAF1QipPD4T9Fw9THg3upDlmIEY3xYLSqnsSrA7mCJ2Vp&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEDw|1e10!2sAF1QipMdHMFTMDzv0f5F16dDsO36HunNeEkeQ5OLXvfM&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAJ6BAgBED0
 
1
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipPzOhl0c-jt7ExzHIBlAIek_-FAbkwrpOD5IqFA&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEFU|1e10!2sAF1QipM6zZd6QyTHmb_vwZ7eZzy3ADh01tT6NZSbH_GW&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEFY|1e10!2sAF1QipMPW-2PSpGjynfRawXi1naCzCc7xGKZnqFaVOAM&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAJ6BAgBEFc|1e10!2sAF1QipNbv8eS7XBZzx9RvuJ6U_jEqwgcG42zSo4HU5HZ&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAN6BAgBEFg|1e10!2sAF1QipM8bo3cY-AS5SxHHtguc36tl4iyy1M_kjXfMbg_&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAR6BAgBEFk|1e10!2sAF1QipM6b9uULC9DmWV89EFaeMI2IMj-WHOeMUGTBCsB&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAV6BAgBEFo
 
1
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipP8KM7fRns5nRFjfP0ZaXnkOC5IzYBhIUgTTjae&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEGQ|1e10!2sAF1QipOtKJOcW0bwbMW7Tzlxo-oA5LDcmjzJ36d3iQW2&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEGU
 
1
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipOHmTRPAk1X-mW6TaLhUfgq3lfMJqWw4v0GldT8&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEHI
 
1
Other values (36)
36 

Length

Max length1024
Median length1
Mean length95.884422
Min length1

Unique

Unique40 ?
Unique (%)20.1%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowhttps://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNJfEDWOmEu4IETIdoe53X5XzUHll4Bgxewpv6r&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEDs|1e10!2sAF1QipPD4T9Fw9THg3upDlmIEY3xYLSqnsSrA7mCJ2Vp&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEDw|1e10!2sAF1QipMdHMFTMDzv0f5F16dDsO36HunNeEkeQ5OLXvfM&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAJ6BAgBED0

Common Values

ValueCountFrequency (%)
X 159
79.9%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNJfEDWOmEu4IETIdoe53X5XzUHll4Bgxewpv6r&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEDs|1e10!2sAF1QipPD4T9Fw9THg3upDlmIEY3xYLSqnsSrA7mCJ2Vp&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEDw|1e10!2sAF1QipMdHMFTMDzv0f5F16dDsO36HunNeEkeQ5OLXvfM&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAJ6BAgBED0 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipPzOhl0c-jt7ExzHIBlAIek_-FAbkwrpOD5IqFA&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEFU|1e10!2sAF1QipM6zZd6QyTHmb_vwZ7eZzy3ADh01tT6NZSbH_GW&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEFY|1e10!2sAF1QipMPW-2PSpGjynfRawXi1naCzCc7xGKZnqFaVOAM&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAJ6BAgBEFc|1e10!2sAF1QipNbv8eS7XBZzx9RvuJ6U_jEqwgcG42zSo4HU5HZ&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAN6BAgBEFg|1e10!2sAF1QipM8bo3cY-AS5SxHHtguc36tl4iyy1M_kjXfMbg_&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAR6BAgBEFk|1e10!2sAF1QipM6b9uULC9DmWV89EFaeMI2IMj-WHOeMUGTBCsB&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAV6BAgBEFo 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipP8KM7fRns5nRFjfP0ZaXnkOC5IzYBhIUgTTjae&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEGQ|1e10!2sAF1QipOtKJOcW0bwbMW7Tzlxo-oA5LDcmjzJ36d3iQW2&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEGU 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipOHmTRPAk1X-mW6TaLhUfgq3lfMJqWw4v0GldT8&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEHI 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipMZItLMv5RLgLPd4RLcBX-20-M9_AKE1hkr86uc&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAB6BAgBEBU 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNoQF83t8MIGWRCBy1A3fLxkFH1hgpVckv5cF3Y&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAB6BAgBECI 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipPW2fkLLzEfufpQQSe-Xa7mEX0HWktY_b3_zR9z&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAB6BAgBEE4|1e10!2sAF1QipOUpne_sUa8k8MucyKCpJmcxKMUOBIxLbuD-cGP&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAF6BAgBEE8|1e10!2sAF1QipPM9ODvoJIzNS61jDLrMejrsBUUuKa0XOFeTWe3&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAJ6BAgBEFA|1e10!2sAF1QipMwTiSR8USUZyaT_kgBC8tpr7JEBzgRmdpD96a8&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAN6BAgBEFE|1e10!2sAF1QipMAed03jQ2d9ZKaRetgon-5LrWcoUS4ppaCOBQq&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAR6BAgBEFI|1e10!2sAF1QipOE-ozBdT9rJCGp5L5iX-SYxaXZwNjHavJ-hMI4&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAV6BAgBEFM|1e10!2sAF1QipPf18hLwrqYPwRtGpdGAD9sYnAemmg_2NiSIMxm&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAZ6BAgBEFQ|1e10!2sAF1QipM9_Y-eZqFL6LylsrGPvQGLky2rKUD1O9N3jCi1&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAd6BAgBEFU|1e10!2sA 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipMHx0l2RquMKIuBMF-Ogp7s0QV0glrLeWixHLiA&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAB6BAgBEHA|1e10!2sAF1QipNviPuPNoyRT4wxOwK8IWPW-26Qxz6khHX78NIV&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAF6BAgBEHE|1e10!2sAF1QipNF_Ifq4qFL5KZmj5bTb7eyGZO8K9OFc_dsQzcr&sa=X&ved=2ahUKEwjE1tWV8dfzAhVZ4WEKHZCRDXcQ9fkHKAJ6BAgBEHI 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipMK6NUfTJjLH6TDpOYMXXCnR52JzrTBp6OTDRsC&sa=X&ved=2ahUKEwjlqrKW8dfzAhWN62EKHanRD6UQ9fkHKAB6BAgBECA|1e10!2sAF1QipNhaD-yqv9s5mANKUxthm9vYtRCy9__s3J66RBE&sa=X&ved=2ahUKEwjlqrKW8dfzAhWN62EKHanRD6UQ9fkHKAF6BAgBECE|1e10!2sAF1QipOL-n9iD0vxtjaeYkT2QXbhx2Xa3daGnUcZkrE9&sa=X&ved=2ahUKEwjlqrKW8dfzAhWN62EKHanRD6UQ9fkHKAJ6BAgBECI|1e10!2sAF1QipNnCEiJBe4AUxGqg3pxm72sdJaSAXHlpiJzArUc&sa=X&ved=2ahUKEwjlqrKW8dfzAhWN62EKHanRD6UQ9fkHKAN6BAgBECM|1e10!2sAF1QipPMh3kdjUbnFansIulDiuZ9n0eweq0HLLDsJZ73&sa=X&ved=2ahUKEwjlqrKW8dfzAhWN62EKHanRD6UQ9fkHKAR6BAgBECQ 1
 
0.5%
Other values (31) 31
 
15.6%

Length

2023-12-10T15:29:33.379672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
x 159
79.9%
https://www.google.com/maps/uv?pb=!1s0x350d109d7bf4199d:0x5178f0280004a884!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qippymt2unzfmgj6qa6kseyzguzqcorlr3qb1szq3&sa=x&ved=2ahukewir1uqv8dfzahxgf4gkhth-b7aq9fkhkab6bagbeb4|!1e10!2saf1qipp6gr5_i0jme4hxnmmjcymuvc5gj670oqamfamf&sa=x&ved=2ahukewir1uqv8dfzahxgf4gkhth-b7aq9fkhkaf6bagbeb8 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350d109d7bf4199d:0x5178f0280004a884!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qippmq2qfd3v8imtjat_9qom2e9om2iu8l93uzce0&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkab6bagbeas 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350d109d7bf4199d:0x5178f0280004a884!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipowmwws4svrofyz3ucr0qvxbl31jcevm5mvi8jw&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkab6bagbebg|!1e10!2saf1qipnznxp_lausebkfg46h4wyu_e4cddappppgayas&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkaf6bagbebk|!1e10!2saf1qiposeaevjiitk29nd5jv8ikwdrrdgxpdrhdedk06&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkaj6bagbebo|!1e10!2saf1qipota8lemtg1i-udnjnqr85cperkz7ctjw-rbeeh&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkan6bagbebs|!1e10!2saf1qipogjrl23szy2idyrjw-hvl_sswdbfnr43tutah9&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkar6bagbebw|!1e10!2saf1qipo1vxduop8uhzrnxhnzswapygw6hpp6n6qa3e0i&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkav6bagbeb0|!1e10!2saf1qipmfgtn7ufdvfws5ajfwrmb5uy5ubknqkk9xvezt&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkaz6bagbeb4|!1e10!2saf1qipp10t72f0sx2bpvgxnxvnrmdk8gi1z855oxfm41&sa=x&ved=2ahukewje6qsx8dfzahvsed4khvehdauq9fkhkad6bagbeb8 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipnicw0kptefxz2xejjfcbrhtyy1mbxczrmgmxy1&sa=x&ved=2ahukewjc3ojb8dfzahucad4khrktahgq9fkhkab6bagbeca|!1e10!2saf1qippxcsg13mhwzim4yu_7oz3is6feivr9tspgkurf&sa=x&ved=2ahukewjc3ojb8dfzahucad4khrktahgq9fkhkaf6bagbece|!1e10!2saf1qipomtcwxu1ugc2rn9igt-vsxuf4qgvgcew4aduv2&sa=x&ved=2ahukewjc3ojb8dfzahucad4khrktahgq9fkhkaj6bagbeci|!1e10!2saf1qippv5dobupsweak3z_87mgfskabnztkmndd2zsyr&sa=x&ved=2ahukewjc3ojb8dfzahucad4khrktahgq9fkhkan6bagbecm|!1e10!2saf1qipnm2ptzbm02cyzlcwieapsyfk1sivserrsnzv6s&sa=x&ved=2ahukewjc3ojb8dfzahucad4khrktahgq9fkhkar6bagbecq 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipmd6gie004a4gg0cex4rutys5l3g6wlppuixxcp&sa=x&ved=2ahukewjuw8bc8dfzahvhe4gkhzyeanyq9fkhkab6bagbee0|!1e10!2saf1qipowesxojfwjgbalcof2tqpyqctrh7yhjrbqbtij&sa=x&ved=2ahukewjuw8bc8dfzahvhe4gkhzyeanyq9fkhkaf6bagbee4|!1e10!2saf1qippqmecv68ri7cywxv8vx3lp8s8lsfcehip8sila&sa=x&ved=2ahukewjuw8bc8dfzahvhe4gkhzyeanyq9fkhkaj6bagbee8|!1e10!2saf1qipmu9h_jmjndh2yq7wmfmhcaz7ohyzt_lrptijxd&sa=x&ved=2ahukewjuw8bc8dfzahvhe4gkhzyeanyq9fkhkan6bagbefa|!1e10!2saf1qipo3rmapllyxibyghn8_r4rxapmjbnkoju8l9oul&sa=x&ved=2ahukewjuw8bc8dfzahvhe4gkhzyeanyq9fkhkar6bagbefe 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipmujh5rll20jtnysyempnlol9dnhnxuaqnxf0wy&sa=x&ved=2ahukewjuw8bc8dfzahvhe4gkhzyeanyq9fkhkab6bagbef4 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qippewutdriaew2_jgp8tsubfl4entvy78uzcd_f-&sa=x&ved=2ahukewjhot3e8dfzahwoat4khr4kcnsq9fkhkab6bagbed8|!1e10!2saf1qipplolbvdqtxt3vkdveptzhmlopzjt3n6pu8ts9m&sa=x&ved=2ahukewjhot3e8dfzahwoat4khr4kcnsq9fkhkaf6bagbeea 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipn_eubwvc7_ggpic3b12xlh_zmzh8gbzcyr3xcl&sa=x&ved=2ahukewjhot3e8dfzahwoat4khr4kcnsq9fkhkab6bagbee0|!1e10!2saf1qipprxoulk6xufwkgdmslokl1xxv9rzwqjrqmkh04&sa=x&ved=2ahukewjhot3e8dfzahwoat4khr4kcnsq9fkhkaf6bagbee4|!1e10!2saf1qipnpgzps0agkqdklpebtmtq5dvfu8kgy14ybfttg&sa=x&ved=2ahukewjhot3e8dfzahwoat4khr4kcnsq9fkhkaj6bagbee8 1
 
0.5%
https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zr29vz2xlioqygoydiq!15zq2djz0frpt0&hl=ko&imagekey=!1e10!2saf1qipo1sofwesmswpnwsskmhbpogrmpinfxoejwzsps&sa=x&ved=2ahukewjhot3e8dfzahwoat4khr4kcnsq9fkhkab6bagbegc|!1e10!2saf1qipnypjhfm4o-dr9c39uxkopdupsg2chd7qcm_ene&sa=x&ved=2ahukewjhot3e8dfzahwoat4khr4kcnsq9fkhkaf6bagbegg 1
 
0.5%
Other values (31) 31
 
15.6%

2주 전
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1년 전
76 
2년 전
54 
3년 전
18 
4달 전
8 
5달 전
8 
Other values (10)
35 

Length

Max length5
Median length4
Mean length4.0552764
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row1달 전
2nd row1달 전
3rd row2달 전
4th row2달 전
5th row3달 전

Common Values

ValueCountFrequency (%)
1년 전 76
38.2%
2년 전 54
27.1%
3년 전 18
 
9.0%
4달 전 8
 
4.0%
5달 전 8
 
4.0%
7달 전 6
 
3.0%
10달 전 6
 
3.0%
9달 전 5
 
2.5%
11달 전 5
 
2.5%
6달 전 4
 
2.0%
Other values (5) 9
 
4.5%

Length

2023-12-10T15:29:33.613110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전 199
50.0%
1년 76
 
19.1%
2년 54
 
13.6%
3년 18
 
4.5%
4달 8
 
2.0%
5달 8
 
2.0%
7달 6
 
1.5%
10달 6
 
1.5%
9달 5
 
1.3%
11달 5
 
1.3%
Other values (6) 13
 
3.3%

20211020
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
20211020
199 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20211020
2nd row20211020
3rd row20211020
4th row20211020
5th row20211020

Common Values

ValueCountFrequency (%)
20211020 199
100.0%

Length

2023-12-10T15:29:33.807353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:33.993061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20211020 199
100.0%

5.0
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
5
76 
3
52 
4
45 
1
15 
2
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row5
3rd row4
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 76
38.2%
3 52
26.1%
4 45
22.6%
1 15
 
7.5%
2 11
 
5.5%

Length

2023-12-10T15:29:34.166088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:34.350106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 76
38.2%
3 52
26.1%
4 45
22.6%
1 15
 
7.5%
2 11
 
5.5%

Interactions

2023-12-10T15:29:28.953072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:29:28.600471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:29:29.158324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:29:28.778864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:29:34.515609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
064노트카페지역 가이드29.054https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs2주 전5.0
064노트1.0001.0000.0000.2010.1010.3410.7590.256
카페1.0001.0000.0000.1900.1860.4400.8710.288
지역 가이드0.0000.0001.0000.5170.0920.1430.1370.266
29.00.2010.1900.5171.0000.8900.9640.1620.186
540.1010.1860.0920.8901.0000.9860.4490.264
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs0.3410.4400.1430.9640.9861.0000.6840.000
2주 전0.7590.8710.1370.1620.4490.6841.0000.156
5.00.2560.2880.2660.1860.2640.0000.1561.000
2023-12-10T15:29:34.829229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역 가이드064노트카페2주 전5.0https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs
지역 가이드1.0000.0000.0000.1190.3220.103
064노트0.0001.0000.9970.5320.2100.158
카페0.0000.9971.0000.6030.2250.217
2주 전0.1190.5320.6031.0000.0620.242
5.00.3220.2100.2250.0621.0000.000
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs0.1030.1580.2170.2420.0001.000
2023-12-10T15:29:35.067605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
29.054064노트카페지역 가이드https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs2주 전5.0
29.01.0000.7570.0890.1190.3840.7260.0660.113
540.7571.0000.0820.1410.1120.8280.2010.101
064노트0.0890.0821.0000.9970.0000.1580.5320.210
카페0.1190.1410.9971.0000.0000.2170.6030.225
지역 가이드0.3840.1120.0000.0001.0000.1030.1190.322
https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs0.7260.8280.1580.2170.1031.0000.2420.000
2주 전0.0660.2010.5320.6030.1190.2421.0000.062
5.00.1130.1010.2100.2250.3220.0000.0621.000

Missing values

2023-12-10T15:29:29.409265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:29:29.704374image/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

064노트카페지역 가이드29.054케익이 맛있어요!https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs2주 전202110205.0
0064노트카페지역 가이드19417XX1달 전202110203
1064노트카페X612조용하구 맛있어요X1달 전202110205
2064노트카페X80XX2달 전202110204
3064노트카페X11XX2달 전202110205
4064노트카페지역 가이드8491165이쁘고 맛있게 먹고 왔습니다. 처음 보는 감자 케이크도 색다른 맛이네요.https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNJfEDWOmEu4IETIdoe53X5XzUHll4Bgxewpv6r&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEDs|1e10!2sAF1QipPD4T9Fw9THg3upDlmIEY3xYLSqnsSrA7mCJ2Vp&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEDw|1e10!2sAF1QipMdHMFTMDzv0f5F16dDsO36HunNeEkeQ5OLXvfM&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAJ6BAgBED03달 전202110205
5064노트카페X10자주 오는 동네 단골입니다. 이집은 감자케이크가 최애지만| 오늘은 단게 땡겨 티라미수랑 쿠키를 샀네요. 마감시간 다 되어 포장했는데도 늘 친절하십니다.X4달 전202110205
6064노트카페지역 가이드65910781Xhttps://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipPzOhl0c-jt7ExzHIBlAIek_-FAbkwrpOD5IqFA&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEFU|1e10!2sAF1QipM6zZd6QyTHmb_vwZ7eZzy3ADh01tT6NZSbH_GW&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEFY|1e10!2sAF1QipMPW-2PSpGjynfRawXi1naCzCc7xGKZnqFaVOAM&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAJ6BAgBEFc|1e10!2sAF1QipNbv8eS7XBZzx9RvuJ6U_jEqwgcG42zSo4HU5HZ&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAN6BAgBEFg|1e10!2sAF1QipM8bo3cY-AS5SxHHtguc36tl4iyy1M_kjXfMbg_&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAR6BAgBEFk|1e10!2sAF1QipM6b9uULC9DmWV89EFaeMI2IMj-WHOeMUGTBCsB&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAV6BAgBEFo4달 전202110201
7064노트카페지역 가이드185329케익맛집..♡ 보리쉐이크도 맛나요~https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipP8KM7fRns5nRFjfP0ZaXnkOC5IzYBhIUgTTjae&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEGQ|1e10!2sAF1QipOtKJOcW0bwbMW7Tzlxo-oA5LDcmjzJ36d3iQW2&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAF6BAgBEGU4달 전202110205
8064노트카페지역 가이드164117아메리카노랑 우유먹었는데 우유도 살짝 달콤해서 맛있고 테이크아웃컵도귀여움ㅎㅎ 근처에가까이있다면 한번쯤가보세요저는 방파제서낚시하다 갈증나서 마셨어요직원분이 친절하진않으시지만 음료받고 마음풀림https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipOHmTRPAk1X-mW6TaLhUfgq3lfMJqWw4v0GldT8&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEHI4달 전202110205
9064노트카페X119인테리어가 예쁘고 케이크가 특히 맛있는 카페X6달 전202110205
064노트카페지역 가이드29.054케익이 맛있어요!https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs2주 전202110205.0
1891950하우스음식점X00XX2년 전202110204
1901950하우스음식점지역 가이드212954유부우동 괜찮음https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipN8bUateZnjIxd_djqF2GuBoLPWdguqdee4CoO-&sa=X&ved=2ahUKEwjI7_bG8dfzAhWEdd4KHZKcCNAQ9fkHKAB6BAgBED4|!1e10!2sAF1QipN-bw_DazE55nkuDky-OEsvI423oEI4Je24WbYK&sa=X&ved=2ahUKEwjI7_bG8dfzAhWEdd4KHZKcCNAQ9fkHKAF6BAgBED82년 전202110203
1911950하우스음식점지역 가이드25480감자튀김 양도 많고 맛있어요ㅎㅎ감자튀김 양이 많아서 포장해달라고해서싸왔네요ㅎㅎX2년 전202110204
1921950하우스음식점X727XX2년 전202110205
1931950하우스음식점X518음식비쥬얼은 좋은데 맛이 별로네요ㅜ 다시 가지는 않을듯..X2년 전202110202
1941950하우스음식점X31최악의 서비스 최악의 맛 !X2년 전202110201
1951950하우스음식점지역 가이드6881XX2년 전202110203
1961950하우스음식점지역 가이드339979잘모르겠네요X2년 전202110203
1971950하우스음식점지역 가이드98105맛은 괜찮은데 한라산버거는 너무 거품이네요https://www.google.com/maps/uv?pb=!1s0x350cf7a3874fa2bf:0xb92ebac74ebf9429!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipP1tj-rXMLtTptfSBLrMI7WCqQ1XeodkFU59Exy&sa=X&ved=2ahUKEwj45tTH8dfzAhUVQPUHHSklAtAQ9fkHKAB6BAgBEB0|!1e10!2sAF1QipO5tTFSSJqqx_wZuHYG07WFyO3I76PZf_GEpq5V&sa=X&ved=2ahUKEwj45tTH8dfzAhUVQPUHHSklAtAQ9fkHKAF6BAgBEB4|!1e10!2sAF1QipOLVhxvKAZH1AXqHGNeGQKb9yd5CvzVNYDw6Fpi&sa=X&ved=2ahUKEwj45tTH8dfzAhUVQPUHHSklAtAQ9fkHKAJ6BAgBEB82년 전202110203
1981950하우스음식점X00XX2년 전202110205

Duplicate rows

Most frequently occurring

064노트카페지역 가이드29.054케익이 맛있어요!https://www.google.com/maps/uv?pb=!1s0x350c6154f6fa8759:0x37e0e4ffe8a080d!3m1!7e115!5zR29vZ2xlIOqygOyDiQ!15zQ2dJZ0FRPT0&hl=ko&imagekey=!1e10!2sAF1QipNICkTjQS9sj5xwgx0HIqT3hQQZ1xY3JbuAsENk&sa=X&ved=2ahUKEwjflJWV8dfzAhWOZt4KHQodDqkQ9fkHKAB6BAgBEAs2주 전202110205.0# duplicates
21300K 제주제주시의 기념품 상점X00XX2년 전2021102055
01080칼국수음식점X20XX3년 전2021102042
11300K 제주제주시의 기념품 상점X00XX2년 전2021102032
31950하우스음식점X00XX1년 전2021102022
41950하우스음식점X00XX2년 전2021102052