Overview

Dataset statistics

Number of variables21
Number of observations1291
Missing cells1091
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory224.5 KiB
Average record size in memory178.1 B

Variable types

Categorical7
Numeric8
Text6

Dataset

DescriptionSample
Author주식회사 여기어때컴퍼니
URLhttps://www.bigdata-finance.kr/dataset/datasetView.do?datastId=SET0400015

Alerts

기준년월 has constant value ""Constant
대상기준년월 has constant value ""Constant
지점명 has 1018 (78.9%) missing valuesMissing
대표전화번호 has 22 (1.7%) missing valuesMissing
식당평점값 has 51 (4.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 13:08:54.156368
Analysis finished2023-12-10 13:08:55.622817
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
202108
1291 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202108
2nd row202108
3rd row202108
4th row202108
5th row202108

Common Values

ValueCountFrequency (%)
202108 1291
100.0%

Length

2023-12-10T22:08:55.726424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:55.849088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 1291
100.0%

탑리스트ID
Real number (ℝ)

Distinct43
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1310.1317
Minimum488
Maximum2817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:08:55.982644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum488
5-th percentile628
Q1891
median1204
Q31540
95-th percentile2743
Maximum2817
Range2329
Interquartile range (IQR)649

Descriptive statistics

Standard deviation588.43844
Coefficient of variation (CV)0.4491445
Kurtosis0.77128786
Mean1310.1317
Median Absolute Deviation (MAD)313
Skewness1.1784322
Sum1691380
Variance346259.8
MonotonicityNot monotonic
2023-12-10T22:08:56.144897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2743 100
 
7.7%
1095 65
 
5.0%
1270 58
 
4.5%
628 54
 
4.2%
661 53
 
4.1%
1212 50
 
3.9%
1142 50
 
3.9%
1096 50
 
3.9%
1100 50
 
3.9%
2250 49
 
3.8%
Other values (33) 712
55.2%
ValueCountFrequency (%)
488 45
3.5%
628 54
4.2%
661 53
4.1%
790 9
 
0.7%
791 23
1.8%
800 32
2.5%
811 35
2.7%
826 45
3.5%
889 20
 
1.5%
891 35
2.7%
ValueCountFrequency (%)
2817 7
 
0.5%
2743 100
7.7%
2698 7
 
0.5%
2250 49
3.8%
1845 10
 
0.8%
1836 10
 
0.8%
1831 10
 
0.8%
1808 15
 
1.2%
1807 18
 
1.4%
1794 7
 
0.5%

탑리스트제목명
Categorical

Distinct43
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2021 강원도 인기 맛집 TOP 100
100 
제주도 맛집 베스트 65곳
 
65
이태원 맛집 베스트 60곳
 
58
강릉 맛집 베스트 55곳
 
54
여의도 맛집 베스트 55곳
 
53
Other values (38)
961 

Length

Max length28
Median length22
Mean length15.539117
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인사동 맛집 베스트 10곳
2nd row인사동 맛집 베스트 10곳
3rd row인사동 맛집 베스트 10곳
4th row인사동 맛집 베스트 10곳
5th row인사동 맛집 베스트 10곳

Common Values

ValueCountFrequency (%)
2021 강원도 인기 맛집 TOP 100 100
 
7.7%
제주도 맛집 베스트 65곳 65
 
5.0%
이태원 맛집 베스트 60곳 58
 
4.5%
강릉 맛집 베스트 55곳 54
 
4.2%
여의도 맛집 베스트 55곳 53
 
4.1%
잠실 맛집 베스트 50곳 50
 
3.9%
부산 맛집 베스트 50곳 50
 
3.9%
속초 맛집 베스트 50곳 50
 
3.9%
경기도 고양시 맛집 베스트 50곳 50
 
3.9%
2020 강원도 인기 맛집 TOP 50 49
 
3.8%
Other values (33) 712
55.2%

Length

2023-12-10T22:08:56.323533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
맛집 1265
21.7%
베스트 1133
19.4%
50곳 248
 
4.2%
강원도 201
 
3.4%
인기 149
 
2.6%
top 149
 
2.6%
45곳 135
 
2.3%
40곳 115
 
2.0%
부산 110
 
1.9%
55곳 107
 
1.8%
Other values (63) 2228
38.2%

탑리스트설명내용
Categorical

Distinct43
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
망고플레이트가 선정한 2021년에 꼭 가봐야 할 강원도 맛집
100 
제주도 여행 시 필수 먹킷리스트!
 
65
이태원 갈 때는 이거 하나만 알고 가세요!
 
58
필수 먹킷리스트로 기억해두자!
 
54
솔직히 여기가 여의도 찐맛집이지!
 
53
Other values (38)
961 

Length

Max length34
Median length28
Mean length20.934934
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row걷고 싶은 거리, 인사동!
2nd row걷고 싶은 거리, 인사동!
3rd row걷고 싶은 거리, 인사동!
4th row걷고 싶은 거리, 인사동!
5th row걷고 싶은 거리, 인사동!

Common Values

ValueCountFrequency (%)
망고플레이트가 선정한 2021년에 꼭 가봐야 할 강원도 맛집 100
 
7.7%
제주도 여행 시 필수 먹킷리스트! 65
 
5.0%
이태원 갈 때는 이거 하나만 알고 가세요! 58
 
4.5%
필수 먹킷리스트로 기억해두자! 54
 
4.2%
솔직히 여기가 여의도 찐맛집이지! 53
 
4.1%
잠실 주변 한식, 양식, 중식, 일식 맛집 여기 있네! 50
 
3.9%
랜선으로 떠나는 부산 미식 여행 50
 
3.9%
속초 여행 시, 필수 먹킷 리스트! 50
 
3.9%
매번 서울로 갈 필요가 없는걸요! 50
 
3.9%
망고플레이트가 선정한 2020년에 꼭 가봐야 할 강원도 맛집 49
 
3.8%
Other values (33) 712
55.2%

Length

2023-12-10T22:08:56.523715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
맛집 322
 
4.7%
필수 191
 
2.8%
망고플레이트가 184
 
2.7%
선정한 184
 
2.7%
여행 172
 
2.5%
꼭 149
 
2.2%
가봐야 149
 
2.2%
할 149
 
2.2%
강원도 149
 
2.2%
시 115
 
1.7%
Other values (161) 5080
74.2%

탑리스트순위
Real number (ℝ)

Distinct100
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.618125
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:08:56.703944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median19
Q333
95-th percentile53.5
Maximum100
Range99
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.069863
Coefficient of variation (CV)0.79891073
Kurtosis2.0563492
Mean22.618125
Median Absolute Deviation (MAD)12
Skewness1.2668259
Sum29200
Variance326.51995
MonotonicityNot monotonic
2023-12-10T22:08:56.884526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 43
 
3.3%
4 43
 
3.3%
5 43
 
3.3%
2 43
 
3.3%
3 43
 
3.3%
7 41
 
3.2%
6 41
 
3.2%
8 37
 
2.9%
9 37
 
2.9%
10 36
 
2.8%
Other values (90) 884
68.5%
ValueCountFrequency (%)
1 43
3.3%
2 43
3.3%
3 43
3.3%
4 43
3.3%
5 43
3.3%
6 41
3.2%
7 41
3.2%
8 37
2.9%
9 37
2.9%
10 36
2.8%
ValueCountFrequency (%)
100 1
0.1%
99 1
0.1%
98 1
0.1%
97 1
0.1%
96 1
0.1%
95 1
0.1%
94 1
0.1%
93 1
0.1%
92 1
0.1%
91 1
0.1%

식당ID
Text

Distinct1038
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-10T22:08:57.251790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.918668
Min length10

Characters and Unicode

Total characters14096
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique819 ?
Unique (%)63.4%

Sample

1st rowQDi7GAeHPRyw
2nd rowvFcy-zyXpmc4
3rd rowgwl3eSOM_bow
4th rowoP0yz0EYLj
5th row5Xlmxa8J6y
ValueCountFrequency (%)
3lfmnjyfaafv 3
 
0.2%
1dotdiguce 3
 
0.2%
ojui0tcsdd29 3
 
0.2%
lnqeadylukt8 3
 
0.2%
fvth0dtxdr 3
 
0.2%
au9xywbj0z 3
 
0.2%
6dj-d-cgx0df 3
 
0.2%
qf1qg1uoxn 3
 
0.2%
qvlvu_hd1e 3
 
0.2%
56gmygzfox 3
 
0.2%
Other values (1028) 1261
97.7%
2023-12-10T22:08:57.797881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d 260
 
1.8%
S 260
 
1.8%
j 255
 
1.8%
I 254
 
1.8%
Q 242
 
1.7%
V 241
 
1.7%
2 240
 
1.7%
a 240
 
1.7%
9 238
 
1.7%
O 238
 
1.7%
Other values (54) 11628
82.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 5769
40.9%
Lowercase Letter 5683
40.3%
Decimal Number 2194
 
15.6%
Dash Punctuation 231
 
1.6%
Connector Punctuation 219
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 260
 
4.6%
j 255
 
4.5%
a 240
 
4.2%
l 238
 
4.2%
o 232
 
4.1%
r 231
 
4.1%
p 230
 
4.0%
c 230
 
4.0%
f 226
 
4.0%
w 224
 
3.9%
Other values (16) 3317
58.4%
Uppercase Letter
ValueCountFrequency (%)
S 260
 
4.5%
I 254
 
4.4%
Q 242
 
4.2%
V 241
 
4.2%
O 238
 
4.1%
H 235
 
4.1%
M 235
 
4.1%
D 234
 
4.1%
A 233
 
4.0%
K 229
 
4.0%
Other values (16) 3368
58.4%
Decimal Number
ValueCountFrequency (%)
2 240
10.9%
9 238
10.8%
6 235
10.7%
0 233
10.6%
1 228
10.4%
7 225
10.3%
3 212
9.7%
8 205
9.3%
5 189
8.6%
4 189
8.6%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11452
81.2%
Common 2644
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 260
 
2.3%
S 260
 
2.3%
j 255
 
2.2%
I 254
 
2.2%
Q 242
 
2.1%
V 241
 
2.1%
a 240
 
2.1%
O 238
 
2.1%
l 238
 
2.1%
H 235
 
2.1%
Other values (42) 8989
78.5%
Common
ValueCountFrequency (%)
2 240
9.1%
9 238
9.0%
6 235
8.9%
0 233
8.8%
- 231
8.7%
1 228
8.6%
7 225
8.5%
_ 219
8.3%
3 212
8.0%
8 205
7.8%
Other values (2) 378
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 260
 
1.8%
S 260
 
1.8%
j 255
 
1.8%
I 254
 
1.8%
Q 242
 
1.7%
V 241
 
1.7%
2 240
 
1.7%
a 240
 
1.7%
9 238
 
1.7%
O 238
 
1.7%
Other values (54) 11628
82.5%

식당명
Text

Distinct1018
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-10T22:08:58.136295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length5.0325329
Min length1

Characters and Unicode

Total characters6497
Distinct characters642
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

Unique790 ?
Unique (%)61.2%

Sample

1st row853
2nd row국수찾아닭만리
3rd row주간소바식당산
4th row반짝반짝빛나는
5th row스토9
ValueCountFrequency (%)
카페 8
 
0.6%
휴업중 5
 
0.4%
엄지네포장마차 4
 
0.3%
원조숯불닭불고기 3
 
0.2%
토담숯불닭갈비 3
 
0.2%
부성불고기찜닭 3
 
0.2%
이모네생선찜 3
 
0.2%
우리장터 3
 
0.2%
강릉불고기 3
 
0.2%
벌집 3
 
0.2%
Other values (1047) 1309
97.2%
2023-12-10T22:08:58.596416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 179
 
2.8%
스 142
 
2.2%
리 126
 
1.9%
국 108
 
1.7%
집 99
 
1.5%
수 97
 
1.5%
당 80
 
1.2%
식 70
 
1.1%
라 66
 
1.0%
비 65
 
1.0%
Other values (632) 5465
84.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6274
96.6%
Decimal Number 74
 
1.1%
Space Separator 59
 
0.9%
Lowercase Letter 40
 
0.6%
Uppercase Letter 34
 
0.5%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 179
 
2.9%
스 142
 
2.3%
리 126
 
2.0%
국 108
 
1.7%
집 99
 
1.6%
수 97
 
1.5%
당 80
 
1.3%
식 70
 
1.1%
라 66
 
1.1%
비 65
 
1.0%
Other values (588) 5242
83.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.5%
s 4
10.0%
r 4
10.0%
a 4
10.0%
t 3
7.5%
i 3
7.5%
n 3
7.5%
f 2
 
5.0%
c 2
 
5.0%
o 2
 
5.0%
Other values (4) 6
15.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
17.6%
B 4
11.8%
P 3
8.8%
F 3
8.8%
N 3
8.8%
R 2
 
5.9%
X 2
 
5.9%
T 2
 
5.9%
C 2
 
5.9%
O 2
 
5.9%
Other values (4) 5
14.7%
Decimal Number
ValueCountFrequency (%)
1 15
20.3%
3 15
20.3%
2 10
13.5%
5 8
10.8%
8 7
9.5%
0 5
 
6.8%
4 4
 
5.4%
7 4
 
5.4%
9 3
 
4.1%
6 3
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6274
96.6%
Common 149
 
2.3%
Latin 74
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 179
 
2.9%
스 142
 
2.3%
리 126
 
2.0%
국 108
 
1.7%
집 99
 
1.6%
수 97
 
1.5%
당 80
 
1.3%
식 70
 
1.1%
라 66
 
1.1%
비 65
 
1.0%
Other values (588) 5242
83.6%
Latin
ValueCountFrequency (%)
e 7
 
9.5%
A 6
 
8.1%
s 4
 
5.4%
B 4
 
5.4%
r 4
 
5.4%
a 4
 
5.4%
t 3
 
4.1%
P 3
 
4.1%
F 3
 
4.1%
i 3
 
4.1%
Other values (18) 33
44.6%
Common
ValueCountFrequency (%)
59
39.6%
1 15
 
10.1%
3 15
 
10.1%
2 10
 
6.7%
5 8
 
5.4%
8 7
 
4.7%
) 6
 
4.0%
( 6
 
4.0%
0 5
 
3.4%
4 4
 
2.7%
Other values (6) 14
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6274
96.6%
ASCII 223
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 179
 
2.9%
스 142
 
2.3%
리 126
 
2.0%
국 108
 
1.7%
집 99
 
1.6%
수 97
 
1.5%
당 80
 
1.3%
식 70
 
1.1%
라 66
 
1.1%
비 65
 
1.0%
Other values (588) 5242
83.6%
ASCII
ValueCountFrequency (%)
59
26.5%
1 15
 
6.7%
3 15
 
6.7%
2 10
 
4.5%
5 8
 
3.6%
8 7
 
3.1%
e 7
 
3.1%
) 6
 
2.7%
( 6
 
2.7%
A 6
 
2.7%
Other values (34) 84
37.7%

지점명
Text

MISSING 

Distinct102
Distinct (%)37.4%
Missing1018
Missing (%)78.9%
Memory size10.2 KiB
2023-12-10T22:08:58.936104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length3.8351648
Min length2

Characters and Unicode

Total characters1047
Distinct characters162
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)23.8%

Sample

1st row낙원본점
2nd row본점
3rd row본점
4th row본점
5th row경주본점
ValueCountFrequency (%)
본점 89
30.5%
여의도점 19
 
6.5%
광화문점 9
 
3.1%
잠실점 8
 
2.7%
해운대점 6
 
2.1%
2호점 5
 
1.7%
ifc몰 5
 
1.7%
포시즌스호텔 4
 
1.4%
서울 4
 
1.4%
한남점 4
 
1.4%
Other values (98) 139
47.6%
2023-12-10T22:08:59.455390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 257
24.5%
본 115
 
11.0%
호 26
 
2.5%
여 23
 
2.2%
의 23
 
2.2%
도 23
 
2.2%
19
 
1.8%
화 18
 
1.7%
광 15
 
1.4%
문 15
 
1.4%
Other values (152) 513
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 979
93.5%
Uppercase Letter 28
 
2.7%
Decimal Number 21
 
2.0%
Space Separator 19
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 257
26.3%
본 115
 
11.7%
호 26
 
2.7%
여 23
 
2.3%
의 23
 
2.3%
도 23
 
2.3%
화 18
 
1.8%
광 15
 
1.5%
문 15
 
1.5%
실 14
 
1.4%
Other values (133) 450
46.0%
Uppercase Letter
ValueCountFrequency (%)
F 6
21.4%
C 6
21.4%
I 5
17.9%
E 2
 
7.1%
D 1
 
3.6%
Z 1
 
3.6%
M 1
 
3.6%
T 1
 
3.6%
H 1
 
3.6%
R 1
 
3.6%
Other values (3) 3
10.7%
Decimal Number
ValueCountFrequency (%)
1 9
42.9%
2 6
28.6%
3 3
 
14.3%
6 2
 
9.5%
4 1
 
4.8%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 979
93.5%
Common 40
 
3.8%
Latin 28
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 257
26.3%
본 115
 
11.7%
호 26
 
2.7%
여 23
 
2.3%
의 23
 
2.3%
도 23
 
2.3%
화 18
 
1.8%
광 15
 
1.5%
문 15
 
1.5%
실 14
 
1.4%
Other values (133) 450
46.0%
Latin
ValueCountFrequency (%)
F 6
21.4%
C 6
21.4%
I 5
17.9%
E 2
 
7.1%
D 1
 
3.6%
Z 1
 
3.6%
M 1
 
3.6%
T 1
 
3.6%
H 1
 
3.6%
R 1
 
3.6%
Other values (3) 3
10.7%
Common
ValueCountFrequency (%)
19
47.5%
1 9
22.5%
2 6
 
15.0%
3 3
 
7.5%
6 2
 
5.0%
4 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 979
93.5%
ASCII 68
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 257
26.3%
본 115
 
11.7%
호 26
 
2.7%
여 23
 
2.3%
의 23
 
2.3%
도 23
 
2.3%
화 18
 
1.8%
광 15
 
1.5%
문 15
 
1.5%
실 14
 
1.4%
Other values (133) 450
46.0%
ASCII
ValueCountFrequency (%)
19
27.9%
1 9
13.2%
2 6
 
8.8%
F 6
 
8.8%
C 6
 
8.8%
I 5
 
7.4%
3 3
 
4.4%
E 2
 
2.9%
6 2
 
2.9%
D 1
 
1.5%
Other values (9) 9
13.2%

대표전화번호
Text

MISSING 

Distinct1016
Distinct (%)80.1%
Missing22
Missing (%)1.7%
Memory size10.2 KiB
2023-12-10T22:08:59.762321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.957447
Min length9

Characters and Unicode

Total characters15174
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique800 ?
Unique (%)63.0%

Sample

1st row070-8832-0853
2nd row02-745-4079
3rd row02-3210-0113
4th row02-738-4525
5th row02-725-9285
ValueCountFrequency (%)
02-6388-5500 4
 
0.3%
033-652-9959 3
 
0.2%
033-742-7205 3
 
0.2%
033-648-0340 3
 
0.2%
033-648-0866 3
 
0.2%
033-257-5326 3
 
0.2%
033-635-2277 3
 
0.2%
1577-9042 3
 
0.2%
033-651-0812 3
 
0.2%
033-652-2058 3
 
0.2%
Other values (1006) 1238
97.6%
2023-12-10T22:09:00.196732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2527
16.7%
0 2280
15.0%
3 1804
11.9%
2 1377
9.1%
7 1217
8.0%
1 1197
7.9%
5 1152
7.6%
6 1053
6.9%
4 1016
6.7%
8 810
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12647
83.3%
Dash Punctuation 2527
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2280
18.0%
3 1804
14.3%
2 1377
10.9%
7 1217
9.6%
1 1197
9.5%
5 1152
9.1%
6 1053
8.3%
4 1016
8.0%
8 810
 
6.4%
9 741
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 2527
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2527
16.7%
0 2280
15.0%
3 1804
11.9%
2 1377
9.1%
7 1217
8.0%
1 1197
7.9%
5 1152
7.6%
6 1053
6.9%
4 1016
6.7%
8 810
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2527
16.7%
0 2280
15.0%
3 1804
11.9%
2 1377
9.1%
7 1217
8.0%
1 1197
7.9%
5 1152
7.6%
6 1053
6.9%
4 1016
6.7%
8 810
 
5.3%

식당지번주소
Text

Distinct977
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-10T22:09:00.600991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.112316
Min length13

Characters and Unicode

Total characters23383
Distinct characters219
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

Unique750 ?
Unique (%)58.1%

Sample

1st row서울시 종로구 관훈동 84-23
2nd row서울시 종로구 낙원동 110
3rd row서울시 종로구 통인동 154-8
4th row서울시 종로구 관훈동 6
5th row서울시 종로구 관훈동 118-13
ValueCountFrequency (%)
서울시 365
 
6.6%
강원도 322
 
5.8%
경기도 218
 
3.9%
부산시 110
 
2.0%
고양시 98
 
1.8%
속초시 92
 
1.7%
강릉시 89
 
1.6%
종로구 89
 
1.6%
제주 88
 
1.6%
영등포구 85
 
1.5%
Other values (1402) 3973
71.9%
2023-12-10T22:09:01.282676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4239
 
18.1%
시 1199
 
5.1%
동 1180
 
5.0%
1 1117
 
4.8%
- 1001
 
4.3%
도 771
 
3.3%
구 757
 
3.2%
2 664
 
2.8%
3 556
 
2.4%
4 491
 
2.1%
Other values (209) 11408
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13062
55.9%
Decimal Number 5081
 
21.7%
Space Separator 4239
 
18.1%
Dash Punctuation 1001
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1199
 
9.2%
동 1180
 
9.0%
도 771
 
5.9%
구 757
 
5.8%
서 445
 
3.4%
강 431
 
3.3%
원 430
 
3.3%
산 399
 
3.1%
울 365
 
2.8%
주 359
 
2.7%
Other values (197) 6726
51.5%
Decimal Number
ValueCountFrequency (%)
1 1117
22.0%
2 664
13.1%
3 556
10.9%
4 491
9.7%
5 413
 
8.1%
7 401
 
7.9%
6 385
 
7.6%
8 365
 
7.2%
9 350
 
6.9%
0 339
 
6.7%
Space Separator
ValueCountFrequency (%)
4239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1001
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13062
55.9%
Common 10321
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1199
 
9.2%
동 1180
 
9.0%
도 771
 
5.9%
구 757
 
5.8%
서 445
 
3.4%
강 431
 
3.3%
원 430
 
3.3%
산 399
 
3.1%
울 365
 
2.8%
주 359
 
2.7%
Other values (197) 6726
51.5%
Common
ValueCountFrequency (%)
4239
41.1%
1 1117
 
10.8%
- 1001
 
9.7%
2 664
 
6.4%
3 556
 
5.4%
4 491
 
4.8%
5 413
 
4.0%
7 401
 
3.9%
6 385
 
3.7%
8 365
 
3.5%
Other values (2) 689
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13062
55.9%
ASCII 10321
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4239
41.1%
1 1117
 
10.8%
- 1001
 
9.7%
2 664
 
6.4%
3 556
 
5.4%
4 491
 
4.8%
5 413
 
4.0%
7 401
 
3.9%
6 385
 
3.7%
8 365
 
3.5%
Other values (2) 689
 
6.7%
Hangul
ValueCountFrequency (%)
시 1199
 
9.2%
동 1180
 
9.0%
도 771
 
5.9%
구 757
 
5.8%
서 445
 
3.4%
강 431
 
3.3%
원 430
 
3.3%
산 399
 
3.1%
울 365
 
2.8%
주 359
 
2.7%
Other values (197) 6726
51.5%

식당도로명주소
Text

Distinct978
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-10T22:09:01.663717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length19.487219
Min length13

Characters and Unicode

Total characters25158
Distinct characters295
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

Unique751 ?
Unique (%)58.2%

Sample

1st row서울특별시 종로구 인사동12길 16
2nd row서울특별시 종로구 돈화문로11길 38
3rd row서울특별시 종로구 인사동4길 12-4
4th row서울특별시 종로구 인사동길 28-1
5th row서울특별시 종로구 인사동16길 19
ValueCountFrequency (%)
서울특별시 365
 
6.6%
강원도 325
 
5.9%
경기도 218
 
3.9%
부산광역시 110
 
2.0%
고양시 98
 
1.8%
속초시 92
 
1.7%
강릉시 89
 
1.6%
종로구 89
 
1.6%
제주특별자치도 88
 
1.6%
송파구 85
 
1.5%
Other values (1257) 3971
71.8%
2023-12-10T22:09:02.348294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4239
 
16.8%
시 1225
 
4.9%
로 1098
 
4.4%
1 938
 
3.7%
구 776
 
3.1%
길 764
 
3.0%
도 752
 
3.0%
2 644
 
2.6%
3 545
 
2.2%
강 485
 
1.9%
Other values (285) 13692
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16263
64.6%
Decimal Number 4370
 
17.4%
Space Separator 4239
 
16.8%
Dash Punctuation 286
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1225
 
7.5%
로 1098
 
6.8%
구 776
 
4.8%
길 764
 
4.7%
도 752
 
4.6%
강 485
 
3.0%
별 454
 
2.8%
특 453
 
2.8%
서 450
 
2.8%
원 434
 
2.7%
Other values (273) 9372
57.6%
Decimal Number
ValueCountFrequency (%)
1 938
21.5%
2 644
14.7%
3 545
12.5%
4 405
9.3%
5 349
 
8.0%
6 349
 
8.0%
7 302
 
6.9%
0 287
 
6.6%
8 279
 
6.4%
9 272
 
6.2%
Space Separator
ValueCountFrequency (%)
4239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16263
64.6%
Common 8895
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1225
 
7.5%
로 1098
 
6.8%
구 776
 
4.8%
길 764
 
4.7%
도 752
 
4.6%
강 485
 
3.0%
별 454
 
2.8%
특 453
 
2.8%
서 450
 
2.8%
원 434
 
2.7%
Other values (273) 9372
57.6%
Common
ValueCountFrequency (%)
4239
47.7%
1 938
 
10.5%
2 644
 
7.2%
3 545
 
6.1%
4 405
 
4.6%
5 349
 
3.9%
6 349
 
3.9%
7 302
 
3.4%
0 287
 
3.2%
- 286
 
3.2%
Other values (2) 551
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16263
64.6%
ASCII 8895
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4239
47.7%
1 938
 
10.5%
2 644
 
7.2%
3 545
 
6.1%
4 405
 
4.6%
5 349
 
3.9%
6 349
 
3.9%
7 302
 
3.4%
0 287
 
3.2%
- 286
 
3.2%
Other values (2) 551
 
6.2%
Hangul
ValueCountFrequency (%)
시 1225
 
7.5%
로 1098
 
6.8%
구 776
 
4.8%
길 764
 
4.7%
도 752
 
4.6%
강 485
 
3.0%
별 454
 
2.8%
특 453
 
2.8%
서 450
 
2.8%
원 434
 
2.7%
Other values (273) 9372
57.6%

식당위도좌표값
Real number (ℝ)

Distinct1009
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.897363
Minimum33.217675
Maximum38.447371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:09:02.601529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.217675
5-th percentile33.511539
Q135.867755
median37.53442
Q337.670586
95-th percentile38.202629
Maximum38.447371
Range5.2296961
Interquartile range (IQR)1.802831

Descriptive statistics

Standard deviation1.337372
Coefficient of variation (CV)0.036245734
Kurtosis0.66236643
Mean36.897363
Median Absolute Deviation (MAD)0.22009114
Skewness-1.3424908
Sum47634.495
Variance1.7885639
MonotonicityNot monotonic
2023-12-10T22:09:02.873924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51232892 8
 
0.6%
37.5684651 6
 
0.5%
37.51419392 6
 
0.5%
37.52108527 5
 
0.4%
37.52418203 4
 
0.3%
38.18674453 4
 
0.3%
37.52580566 4
 
0.3%
37.79112601 3
 
0.2%
37.75451138 3
 
0.2%
37.8787329 3
 
0.2%
Other values (999) 1245
96.4%
ValueCountFrequency (%)
33.21767517 1
0.1%
33.2178484 1
0.1%
33.24430466 1
0.1%
33.24759293 1
0.1%
33.24824986 1
0.1%
33.2485167 1
0.1%
33.248999 1
0.1%
33.249575 1
0.1%
33.25067633 1
0.1%
33.2515804 1
0.1%
ValueCountFrequency (%)
38.44737125 1
 
0.1%
38.3752432 1
 
0.1%
38.3272542 3
0.2%
38.29296578 3
0.2%
38.2605947 1
 
0.1%
38.2520595 2
0.2%
38.24942759 2
0.2%
38.2267686 1
 
0.1%
38.22579155 1
 
0.1%
38.22423656 2
0.2%

식당경도좌표값
Real number (ℝ)

Distinct1011
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.65312
Minimum126.22779
Maximum129.28638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:09:03.059809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.22779
5-th percentile126.5388
Q1126.96747
median127.1529
Q3128.59396
95-th percentile129.15985
Maximum129.28638
Range3.0585835
Interquartile range (IQR)1.6264931

Descriptive statistics

Standard deviation0.89724283
Coefficient of variation (CV)0.0070287575
Kurtosis-1.3253854
Mean127.65312
Median Absolute Deviation (MAD)0.4185747
Skewness0.49530347
Sum164800.18
Variance0.8050447
MonotonicityNot monotonic
2023-12-10T22:09:03.234088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0976163 8
 
0.6%
126.9778113 6
 
0.5%
127.1040148 6
 
0.5%
126.92667937 5
 
0.4%
126.92275568 4
 
0.3%
126.9266096 4
 
0.3%
128.8949052 3
 
0.2%
128.89281344 3
 
0.2%
127.7253973 3
 
0.2%
128.5980072 3
 
0.2%
Other values (1001) 1246
96.5%
ValueCountFrequency (%)
126.2277938 1
0.1%
126.2411383 1
0.1%
126.2425582 1
0.1%
126.24983803 1
0.1%
126.24985801 1
0.1%
126.26760833 1
0.1%
126.2692622 1
0.1%
126.3044107 1
0.1%
126.37050199 1
0.1%
126.38334791 1
0.1%
ValueCountFrequency (%)
129.2863773 1
0.1%
129.28393248 1
0.1%
129.271715 1
0.1%
129.26226881 1
0.1%
129.23744421 1
0.1%
129.21677958 1
0.1%
129.2165029 1
0.1%
129.2156361 1
0.1%
129.2153827 1
0.1%
129.21467915 1
0.1%

1인당가격만원단위구간값
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
만원 미만
624 
만원-2만원
392 
2만원-3만원
124 
4만원 이상
74 
3만원-4만원
 
59

Length

Max length7
Median length6
Mean length5.630519
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row만원-2만원
2nd row만원-2만원
3rd row만원 미만
4th row만원 미만
5th row만원-2만원

Common Values

ValueCountFrequency (%)
만원 미만 624
48.3%
만원-2만원 392
30.4%
2만원-3만원 124
 
9.6%
4만원 이상 74
 
5.7%
3만원-4만원 59
 
4.6%
<NA> 18
 
1.4%

Length

2023-12-10T22:09:03.409388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:03.581296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만원 624
31.4%
미만 624
31.4%
만원-2만원 392
19.7%
2만원-3만원 124
 
6.2%
4만원 74
 
3.7%
이상 74
 
3.7%
3만원-4만원 59
 
3.0%
na 18
 
0.9%

음식대분류명
Categorical

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
한식
594 
카페
281 
양식
160 
일식
107 
중식
 
57
Other values (3)
92 

Length

Max length4
Median length2
Mean length2.0635167
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 594
46.0%
카페 281
21.8%
양식 160
 
12.4%
일식 107
 
8.3%
중식 57
 
4.4%
주점 45
 
3.5%
세계음식 41
 
3.2%
뷔페 6
 
0.5%

Length

2023-12-10T22:09:03.772437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:04.192173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 594
46.0%
카페 281
21.8%
양식 160
 
12.4%
일식 107
 
8.3%
중식 57
 
4.4%
주점 45
 
3.5%
세계음식 41
 
3.2%
뷔페 6
 
0.5%

음식소분류명
Categorical

Distinct42
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
카페 / 디저트
236 
국수 / 면 요리
111 
해산물 요리
104 
고기 요리
100 
탕 / 찌개 / 전골
97 
Other values (37)
643 

Length

Max length16
Median length14
Mean length8.394268
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row고기 요리
2nd row닭 / 오리 요리
3rd row라멘 / 소바 / 우동
4th row카페 / 디저트
5th row이자카야 / 오뎅 / 꼬치

Common Values

ValueCountFrequency (%)
카페 / 디저트 236
18.3%
국수 / 면 요리 111
 
8.6%
해산물 요리 104
 
8.1%
고기 요리 100
 
7.7%
탕 / 찌개 / 전골 97
 
7.5%
한정식 / 백반 / 정통 한식 81
 
6.3%
닭 / 오리 요리 61
 
4.7%
이탈리안 56
 
4.3%
베이커리 45
 
3.5%
브런치 / 버거 / 샌드위치 42
 
3.3%
Other values (32) 358
27.7%

Length

2023-12-10T22:09:04.375096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1086
25.8%
요리 390
 
9.3%
카페 236
 
5.6%
디저트 236
 
5.6%
정통 126
 
3.0%
한식 121
 
2.9%
국수 111
 
2.6%
면 111
 
2.6%
기타 109
 
2.6%
해산물 104
 
2.5%
Other values (55) 1583
37.6%

식당평점값
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)1.3%
Missing51
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean4.0735484
Minimum3.3
Maximum4.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:09:04.516942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.695
Q13.9
median4.1
Q34.3
95-th percentile4.5
Maximum4.8
Range1.5
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.2516329
Coefficient of variation (CV)0.06177241
Kurtosis-0.2570223
Mean4.0735484
Median Absolute Deviation (MAD)0.2
Skewness-0.11971335
Sum5051.2
Variance0.063319118
MonotonicityNot monotonic
2023-12-10T22:09:04.733260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3.9 207
16.0%
4.3 202
15.6%
4.2 171
13.2%
4.1 153
11.9%
4.0 153
11.9%
3.8 86
6.7%
3.7 67
 
5.2%
4.4 66
 
5.1%
3.6 40
 
3.1%
4.5 36
 
2.8%
Other values (6) 59
 
4.6%
(Missing) 51
 
4.0%
ValueCountFrequency (%)
3.3 2
 
0.2%
3.4 8
 
0.6%
3.5 12
 
0.9%
3.6 40
 
3.1%
3.7 67
 
5.2%
3.8 86
6.7%
3.9 207
16.0%
4.0 153
11.9%
4.1 153
11.9%
4.2 171
13.2%
ValueCountFrequency (%)
4.8 1
 
0.1%
4.7 5
 
0.4%
4.6 31
 
2.4%
4.5 36
 
2.8%
4.4 66
 
5.1%
4.3 202
15.6%
4.2 171
13.2%
4.1 153
11.9%
4.0 153
11.9%
3.9 207
16.0%

식당리뷰수
Real number (ℝ)

Distinct159
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.988381
Minimum0
Maximum519
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:09:04.946004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median22
Q349
95-th percentile153
Maximum519
Range519
Interquartile range (IQR)36

Descriptive statistics

Standard deviation52.232373
Coefficient of variation (CV)1.2439721
Kurtosis13.336314
Mean41.988381
Median Absolute Deviation (MAD)12
Skewness3.0999107
Sum54207
Variance2728.2208
MonotonicityNot monotonic
2023-12-10T22:09:05.170830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 76
 
5.9%
13 60
 
4.6%
10 49
 
3.8%
8 43
 
3.3%
9 41
 
3.2%
12 40
 
3.1%
22 39
 
3.0%
15 38
 
2.9%
14 35
 
2.7%
16 33
 
2.6%
Other values (149) 837
64.8%
ValueCountFrequency (%)
0 1
 
0.1%
1 2
 
0.2%
2 4
 
0.3%
4 2
 
0.2%
5 12
 
0.9%
6 20
1.5%
7 32
2.5%
8 43
3.3%
9 41
3.2%
10 49
3.8%
ValueCountFrequency (%)
519 1
 
0.1%
366 2
0.2%
365 1
 
0.1%
352 1
 
0.1%
293 2
0.2%
291 1
 
0.1%
282 1
 
0.1%
279 1
 
0.1%
256 2
0.2%
249 4
0.3%

식당조회수
Real number (ℝ)

Distinct1033
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56772.219
Minimum2034
Maximum586475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:09:05.364863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2034
5-th percentile6036.5
Q116024.5
median31206
Q370468
95-th percentile194019
Maximum586475
Range584441
Interquartile range (IQR)54443.5

Descriptive statistics

Standard deviation66307.934
Coefficient of variation (CV)1.1679645
Kurtosis9.3419642
Mean56772.219
Median Absolute Deviation (MAD)20139
Skewness2.6164457
Sum73292935
Variance4.3967421 × 109
MonotonicityNot monotonic
2023-12-10T22:09:05.562690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21585 3
 
0.2%
48255 3
 
0.2%
51428 3
 
0.2%
56423 3
 
0.2%
77511 3
 
0.2%
50518 3
 
0.2%
41460 3
 
0.2%
27136 3
 
0.2%
60998 3
 
0.2%
30590 3
 
0.2%
Other values (1023) 1261
97.7%
ValueCountFrequency (%)
2034 1
0.1%
2406 1
0.1%
2448 1
0.1%
2492 1
0.1%
2581 1
0.1%
2977 1
0.1%
3056 1
0.1%
3205 1
0.1%
3438 1
0.1%
3509 1
0.1%
ValueCountFrequency (%)
586475 1
0.1%
463730 2
0.2%
404501 1
0.1%
393447 1
0.1%
393337 1
0.1%
364153 2
0.2%
342651 1
0.1%
338322 1
0.1%
330008 1
0.1%
326340 1
0.1%

식당방문희망건수
Real number (ℝ)

Distinct812
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1118.3315
Minimum14
Maximum9377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-10T22:09:05.759870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile114
Q1313
median612
Q31323
95-th percentile3877
Maximum9377
Range9363
Interquartile range (IQR)1010

Descriptive statistics

Standard deviation1361.0516
Coefficient of variation (CV)1.2170377
Kurtosis8.6134949
Mean1118.3315
Median Absolute Deviation (MAD)396
Skewness2.6436357
Sum1443766
Variance1852461.4
MonotonicityNot monotonic
2023-12-10T22:09:05.969074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167 8
 
0.6%
297 5
 
0.4%
360 5
 
0.4%
364 5
 
0.4%
429 5
 
0.4%
994 5
 
0.4%
1040 5
 
0.4%
331 5
 
0.4%
847 4
 
0.3%
582 4
 
0.3%
Other values (802) 1240
96.0%
ValueCountFrequency (%)
14 1
0.1%
21 1
0.1%
25 1
0.1%
34 1
0.1%
35 2
0.2%
37 1
0.1%
38 1
0.1%
41 1
0.1%
42 1
0.1%
45 1
0.1%
ValueCountFrequency (%)
9377 1
0.1%
9088 2
0.2%
9019 1
0.1%
8817 1
0.1%
8555 1
0.1%
8305 1
0.1%
7539 1
0.1%
7496 2
0.2%
7186 1
0.1%
6979 1
0.1%

대상기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
202108
1291 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202108
2nd row202108
3rd row202108
4th row202108
5th row202108

Common Values

ValueCountFrequency (%)
202108 1291
100.0%

Length

2023-12-10T22:09:06.172991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:06.328668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 1291
100.0%

Sample

기준년월탑리스트ID탑리스트제목명탑리스트설명내용탑리스트순위식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
02021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!1QDi7GAeHPRyw853<NA>070-8832-0853서울시 종로구 관훈동 84-23서울특별시 종로구 인사동12길 1637.574725126.985097만원-2만원한식고기 요리4.2651433482272202108
12021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!2vFcy-zyXpmc4국수찾아닭만리<NA>02-745-4079서울시 종로구 낙원동 110서울특별시 종로구 돈화문로11길 3837.572643126.9893만원-2만원한식닭 / 오리 요리4.254547431741202108
22021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!3gwl3eSOM_bow주간소바식당산<NA>02-3210-0113서울시 종로구 통인동 154-8서울특별시 종로구 인사동4길 12-437.578572126.970914만원 미만일식라멘 / 소바 / 우동4.237423421500202108
32021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!4oP0yz0EYLj반짝반짝빛나는<NA>02-738-4525서울시 종로구 관훈동 6서울특별시 종로구 인사동길 28-137.573305126.986141만원 미만카페카페 / 디저트4.11322459855214202108
42021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!55Xlmxa8J6y스토9<NA>02-725-9285서울시 종로구 관훈동 118-13서울특별시 종로구 인사동16길 1937.575558126.984093만원-2만원일식이자카야 / 오뎅 / 꼬치4.121817521457202108
52021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!6lFPQgTt7EkC5결<NA>02-6370-5840서울시 종로구 공평동 5-1서울특별시 종로구 우정국로 2637.571571126.983554만원 미만카페카페 / 디저트4.02214746364202108
62021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!7noa46KWRjE이문설농탕<NA>02-733-6526서울시 종로구 견지동 88서울특별시 종로구 우정국로 38-1337.572634126.983892만원 미만한식탕 / 찌개 / 전골3.958450131332202108
72021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!8gm-znAfcv7아름다운차박물관<NA>02-735-6678서울시 종로구 인사동 193-1서울특별시 종로구 인사동길 19-1137.572383126.985884만원 미만카페카페 / 디저트3.92131676854202108
82021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!9pqH8AkMoYS발우공양<NA>02-733-2081서울시 종로구 견지동 71서울특별시 종로구 우정국로 5637.573912126.9832063만원-4만원한식한정식 / 백반 / 정통 한식3.920701201492202108
92021081011인사동 맛집 베스트 10곳걷고 싶은 거리, 인사동!10Jti1HHGEvN마산해물아구찜 통나무식당낙원본점02-763-7494서울시 종로구 낙원동 45-3서울특별시 종로구 삼일대로 436-137.573572126.9879122만원-3만원한식해산물 요리3.81728440526202108
기준년월탑리스트ID탑리스트제목명탑리스트설명내용탑리스트순위식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
12812021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?11StYTUHMVI다키닥팜<NA>033-333-5262강원도 평창군 봉평면 유포리 81강원도 평창군 봉평면 금당계곡로 1731-537.548974128.3916682만원-3만원한식닭 / 오리 요리4.32221585577202108
12822021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?2S35ejmLCs5흔들바위<NA>033-334-6788강원도 평창군 봉평면 무이리 837강원도 평창군 봉평면 태기로 137.594447128.32002만원-2만원한식한정식 / 백반 / 정통 한식4.21119789381202108
12832021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?3CNYvPfSCrb용평회관<NA>033-335-5217강원도 평창군 대관령면 횡계리 325-2강원도 평창군 대관령면 횡계2길 1537.673611128.7091064만원 이상한식고기 요리4.027931571020202108
12842021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?4p3Nzm9as3U동양식당<NA>033-335-5439강원도 평창군 대관령면 횡계리 317-2강원도 평창군 대관령면 대관령로 11837.672035128.709129만원-2만원한식고기 요리4.0912066167202108
12852021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?5npW57UkUZN진태원<NA>033-335-5567강원도 평창군 대관령면 횡계리 325-18강원도 평창군 대관령면 횡계길 1937.67324128.708324만원 미만중식정통 중식 / 일반 중식3.93326062458202108
12862021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?6AwlMG0q2OhZL카페 연월일<NA>033-332-6488강원도 평창군 진부면 간평리 277-1강원도 평창군 진부면 진고개로 141-637.679217128.596509만원 미만카페카페 / 디저트3.996841109202108
12872021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?7lB8lmAXFGc황태회관<NA>033-335-5795강원도 평창군 대관령면 횡계리 348-5강원도 평창군 대관령면 눈마을길 1937.669872128.7098912만원-3만원한식탕 / 찌개 / 전골3.83532203339202108
12882021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?8PUOlLb_IkK평창한우마을면온점033-333-9777강원도 평창군 봉평면 진조리 12강원도 평창군 봉평면 진조길 5737.560243128.3464793만원-4만원한식고기 요리3.71813780172202108
12892021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?9TT30hIQq7A유천막국수<NA>033-332-6423강원도 평창군 대관령면 유천리 747-31강원도 평창군 대관령면 만과봉길 5837.670561128.600681만원 미만한식국수 / 면 요리3.51111758228202108
12902021081831강원도 평창 맛집 베스트 10곳황태, 한우, 막국수 뭐 부터 먹어야하지?10Wk_rlMzaxQ고향이야기본점033-335-5430강원도 평창군 대관령면 횡계리 348강원도 평창군 대관령면 눈마을길 937.669122128.7099463만원-4만원한식고기 요리<NA>1342096530202108