Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells13435
Missing cells (%)6.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory177.0 B

Variable types

Categorical8
Numeric7
Text6

Dataset

DescriptionSample
Author주식회사 여기어때컴퍼니
URLhttps://www.bigdata-finance.kr/dataset/datasetView.do?datastId=SET0400013

Alerts

기준년월 has constant value ""Constant
탑리스트ID has constant value ""Constant
탑리스트제목명 has constant value ""Constant
탑리스트설명내용 has constant value ""Constant
대상기준년월 has constant value ""Constant
지점명 has 7511 (75.1%) missing valuesMissing
대표전화번호 has 137 (1.4%) missing valuesMissing
식당평점값 has 5786 (57.9%) missing valuesMissing
탑리스트순위 has unique valuesUnique
식당ID has unique valuesUnique
식당리뷰수 has 159 (1.6%) zerosZeros

Reproduction

Analysis started2023-12-10 13:07:15.524163
Analysis finished2023-12-10 13:07:18.162572
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
202108
10000 

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 10000
100.0%

Length

2023-12-10T22:07:18.269103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:18.379922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

탑리스트ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
TOP_Delivery_202108
10000 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTOP_Delivery_202108
2nd rowTOP_Delivery_202108
3rd rowTOP_Delivery_202108
4th rowTOP_Delivery_202108
5th rowTOP_Delivery_202108

Common Values

ValueCountFrequency (%)
TOP_Delivery_202108 10000
100.0%

Length

2023-12-10T22:07:18.516792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:18.620615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
top_delivery_202108 10000
100.0%

탑리스트제목명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
배달탑리스트
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
배달탑리스트 10000
100.0%

Length

2023-12-10T22:07:18.721837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:18.832856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배달탑리스트 10000
100.0%

탑리스트설명내용
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트
10000 

Length

Max length29
Median length29
Mean length29
Min length29

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트
2nd row배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트
3rd row배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트
4th row배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트
5th row배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트

Common Values

ValueCountFrequency (%)
배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트 10000
100.0%

Length

2023-12-10T22:07:18.951875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:19.090491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배달 10000
12.5%
하는 10000
12.5%
식당중 10000
12.5%
가장 10000
12.5%
인기있는 10000
12.5%
곳들을 10000
12.5%
모은 10000
12.5%
탑리스트 10000
12.5%

탑리스트순위
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5000.5
Minimum1
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:07:19.247189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile500.95
Q12500.75
median5000.5
Q37500.25
95-th percentile9500.05
Maximum10000
Range9999
Interquartile range (IQR)4999.5

Descriptive statistics

Standard deviation2886.8957
Coefficient of variation (CV)0.5773214
Kurtosis-1.2
Mean5000.5
Median Absolute Deviation (MAD)2500
Skewness0
Sum50005000
Variance8334166.7
MonotonicityStrictly increasing
2023-12-10T22:07:19.426053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6672 1
 
< 0.1%
6665 1
 
< 0.1%
6666 1
 
< 0.1%
6667 1
 
< 0.1%
6668 1
 
< 0.1%
6669 1
 
< 0.1%
6670 1
 
< 0.1%
6671 1
 
< 0.1%
6673 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
10000 1
< 0.1%
9999 1
< 0.1%
9998 1
< 0.1%
9997 1
< 0.1%
9996 1
< 0.1%
9995 1
< 0.1%
9994 1
< 0.1%
9993 1
< 0.1%
9992 1
< 0.1%
9991 1
< 0.1%

식당ID
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:07:19.710973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.9688
Min length10

Characters and Unicode

Total characters109688
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowgL8RksQTNk
2nd rowF4LMucA69A
3rd row1d1yOr4R-R
4th row5CabktapU2
5th rowDsIDC233ow
ValueCountFrequency (%)
gl8rksqtnk 1
 
< 0.1%
yvtu0va4m5 1
 
< 0.1%
ababwcql3ran 1
 
< 0.1%
e4hpxybfbr 1
 
< 0.1%
q5kvkuzdcw 1
 
< 0.1%
hppmy2mznt 1
 
< 0.1%
ed900idq76 1
 
< 0.1%
mw-oufohc3 1
 
< 0.1%
fttb22nm00_d 1
 
< 0.1%
pwtzcehhqpto 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-10T22:07:20.231318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 1826
 
1.7%
i 1785
 
1.6%
o 1784
 
1.6%
L 1782
 
1.6%
h 1771
 
1.6%
u 1770
 
1.6%
5 1768
 
1.6%
- 1764
 
1.6%
D 1762
 
1.6%
H 1762
 
1.6%
Other values (54) 91914
83.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44801
40.8%
Uppercase Letter 44341
40.4%
Decimal Number 17116
 
15.6%
Dash Punctuation 1764
 
1.6%
Connector Punctuation 1666
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 1826
 
4.1%
L 1782
 
4.0%
D 1762
 
4.0%
H 1762
 
4.0%
R 1749
 
3.9%
E 1745
 
3.9%
B 1735
 
3.9%
V 1734
 
3.9%
C 1729
 
3.9%
Z 1724
 
3.9%
Other values (16) 26793
60.4%
Lowercase Letter
ValueCountFrequency (%)
i 1785
 
4.0%
o 1784
 
4.0%
h 1771
 
4.0%
u 1770
 
4.0%
c 1760
 
3.9%
f 1753
 
3.9%
z 1750
 
3.9%
w 1747
 
3.9%
g 1735
 
3.9%
k 1732
 
3.9%
Other values (16) 27214
60.7%
Decimal Number
ValueCountFrequency (%)
5 1768
10.3%
3 1754
10.2%
0 1734
10.1%
8 1730
10.1%
2 1729
10.1%
1 1704
10.0%
7 1702
9.9%
9 1677
9.8%
4 1661
9.7%
6 1657
9.7%
Dash Punctuation
ValueCountFrequency (%)
- 1764
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1666
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 89142
81.3%
Common 20546
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 1826
 
2.0%
i 1785
 
2.0%
o 1784
 
2.0%
L 1782
 
2.0%
h 1771
 
2.0%
u 1770
 
2.0%
D 1762
 
2.0%
H 1762
 
2.0%
c 1760
 
2.0%
f 1753
 
2.0%
Other values (42) 71387
80.1%
Common
ValueCountFrequency (%)
5 1768
8.6%
- 1764
8.6%
3 1754
8.5%
0 1734
8.4%
8 1730
8.4%
2 1729
8.4%
1 1704
8.3%
7 1702
8.3%
9 1677
8.2%
_ 1666
8.1%
Other values (2) 3318
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 1826
 
1.7%
i 1785
 
1.6%
o 1784
 
1.6%
L 1782
 
1.6%
h 1771
 
1.6%
u 1770
 
1.6%
5 1768
 
1.6%
- 1764
 
1.6%
D 1762
 
1.6%
H 1762
 
1.6%
Other values (54) 91914
83.8%

식당명
Text

Distinct8482
Distinct (%)84.8%
Missing1
Missing (%)< 0.1%
Memory size78.3 KiB
2023-12-10T22:07:20.581758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length4.720272
Min length1

Characters and Unicode

Total characters47198
Distinct characters1099
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7682 ?
Unique (%)76.8%

Sample

1st row보니스피자펍
2nd row브라이리퍼블릭
3rd row더다이닝랩
4th row라이너스바베큐
5th row정돈
ValueCountFrequency (%)
봉추찜닭 29
 
0.3%
서가앤쿡 18
 
0.2%
생어거스틴 16
 
0.2%
하남돼지집 16
 
0.2%
맛찬들왕소금구이 15
 
0.1%
에머이 15
 
0.1%
휴업중 14
 
0.1%
토끼정 14
 
0.1%
청년다방 13
 
0.1%
은행골 12
 
0.1%
Other values (8701) 10192
98.4%
2023-12-10T22:07:21.126089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1394
 
3.0%
스 1119
 
2.4%
식 767
 
1.6%
리 692
 
1.5%
집 687
 
1.5%
당 644
 
1.4%
마 529
 
1.1%
시 502
 
1.1%
가 476
 
1.0%
미 468
 
1.0%
Other values (1089) 39920
84.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45811
97.1%
Decimal Number 580
 
1.2%
Space Separator 369
 
0.8%
Lowercase Letter 193
 
0.4%
Uppercase Letter 187
 
0.4%
Other Punctuation 24
 
0.1%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1394
 
3.0%
스 1119
 
2.4%
식 767
 
1.7%
리 692
 
1.5%
집 687
 
1.5%
당 644
 
1.4%
마 529
 
1.2%
시 502
 
1.1%
가 476
 
1.0%
미 468
 
1.0%
Other values (1020) 38533
84.1%
Uppercase Letter
ValueCountFrequency (%)
A 22
 
11.8%
B 19
 
10.2%
P 15
 
8.0%
O 13
 
7.0%
S 13
 
7.0%
T 12
 
6.4%
C 11
 
5.9%
Z 10
 
5.3%
F 7
 
3.7%
H 7
 
3.7%
Other values (15) 58
31.0%
Lowercase Letter
ValueCountFrequency (%)
e 24
12.4%
o 17
 
8.8%
a 15
 
7.8%
h 14
 
7.3%
i 13
 
6.7%
t 12
 
6.2%
r 11
 
5.7%
s 10
 
5.2%
n 9
 
4.7%
u 9
 
4.7%
Other values (14) 59
30.6%
Decimal Number
ValueCountFrequency (%)
1 109
18.8%
9 68
11.7%
2 63
10.9%
3 58
10.0%
8 56
9.7%
0 56
9.7%
7 53
9.1%
5 46
7.9%
4 38
 
6.6%
6 33
 
5.7%
Other Punctuation
ValueCountFrequency (%)
& 11
45.8%
. 7
29.2%
? 3
 
12.5%
! 1
 
4.2%
, 1
 
4.2%
/ 1
 
4.2%
Space Separator
ValueCountFrequency (%)
369
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45808
97.1%
Common 1007
 
2.1%
Latin 380
 
0.8%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1394
 
3.0%
스 1119
 
2.4%
식 767
 
1.7%
리 692
 
1.5%
집 687
 
1.5%
당 644
 
1.4%
마 529
 
1.2%
시 502
 
1.1%
가 476
 
1.0%
미 468
 
1.0%
Other values (1017) 38530
84.1%
Latin
ValueCountFrequency (%)
e 24
 
6.3%
A 22
 
5.8%
B 19
 
5.0%
o 17
 
4.5%
P 15
 
3.9%
a 15
 
3.9%
h 14
 
3.7%
i 13
 
3.4%
O 13
 
3.4%
S 13
 
3.4%
Other values (39) 215
56.6%
Common
ValueCountFrequency (%)
369
36.6%
1 109
 
10.8%
9 68
 
6.8%
2 63
 
6.3%
3 58
 
5.8%
8 56
 
5.6%
0 56
 
5.6%
7 53
 
5.3%
5 46
 
4.6%
4 38
 
3.8%
Other values (10) 91
 
9.0%
Han
ValueCountFrequency (%)
中 1
33.3%
小 1
33.3%
吃 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45806
97.1%
ASCII 1387
 
2.9%
CJK 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1394
 
3.0%
스 1119
 
2.4%
식 767
 
1.7%
리 692
 
1.5%
집 687
 
1.5%
당 644
 
1.4%
마 529
 
1.2%
시 502
 
1.1%
가 476
 
1.0%
미 468
 
1.0%
Other values (1016) 38528
84.1%
ASCII
ValueCountFrequency (%)
369
26.6%
1 109
 
7.9%
9 68
 
4.9%
2 63
 
4.5%
3 58
 
4.2%
8 56
 
4.0%
0 56
 
4.0%
7 53
 
3.8%
5 46
 
3.3%
4 38
 
2.7%
Other values (59) 471
34.0%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%
CJK
ValueCountFrequency (%)
中 1
33.3%
小 1
33.3%
吃 1
33.3%

지점명
Text

MISSING 

Distinct950
Distinct (%)38.2%
Missing7511
Missing (%)75.1%
Memory size78.3 KiB
2023-12-10T22:07:21.439281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length4.2884693
Min length2

Characters and Unicode

Total characters10674
Distinct characters371
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique652 ?
Unique (%)26.2%

Sample

1st row이태원점
2nd row대학로점
3rd row가로수길점
4th row1호점
5th row홍대2호점 (깐따삐아점)
ValueCountFrequency (%)
본점 250
 
9.3%
강남점 45
 
1.7%
홍대점 42
 
1.6%
현대백화점 39
 
1.4%
2호점 34
 
1.3%
신촌점 33
 
1.2%
판교점 31
 
1.2%
대학로점 27
 
1.0%
역삼점 27
 
1.0%
여의도점 26
 
1.0%
Other values (940) 2136
79.4%
2023-12-10T22:07:21.930487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2471
 
23.1%
본 422
 
4.0%
대 340
 
3.2%
204
 
1.9%
역 167
 
1.6%
남 161
 
1.5%
신 155
 
1.5%
호 148
 
1.4%
동 141
 
1.3%
스 130
 
1.2%
Other values (361) 6335
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10205
95.6%
Space Separator 204
 
1.9%
Decimal Number 159
 
1.5%
Uppercase Letter 100
 
0.9%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2471
24.2%
본 422
 
4.1%
대 340
 
3.3%
역 167
 
1.6%
남 161
 
1.6%
신 155
 
1.5%
호 148
 
1.5%
동 141
 
1.4%
스 130
 
1.3%
산 129
 
1.3%
Other values (330) 5941
58.2%
Uppercase Letter
ValueCountFrequency (%)
C 23
23.0%
F 13
13.0%
I 10
10.0%
G 9
 
9.0%
D 5
 
5.0%
S 5
 
5.0%
A 5
 
5.0%
M 5
 
5.0%
E 4
 
4.0%
K 4
 
4.0%
Other values (8) 17
17.0%
Decimal Number
ValueCountFrequency (%)
2 55
34.6%
1 53
33.3%
4 20
 
12.6%
3 16
 
10.1%
9 7
 
4.4%
5 3
 
1.9%
6 2
 
1.3%
8 1
 
0.6%
7 1
 
0.6%
0 1
 
0.6%
Space Separator
ValueCountFrequency (%)
204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10205
95.6%
Common 369
 
3.5%
Latin 100
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2471
24.2%
본 422
 
4.1%
대 340
 
3.3%
역 167
 
1.6%
남 161
 
1.6%
신 155
 
1.5%
호 148
 
1.5%
동 141
 
1.4%
스 130
 
1.3%
산 129
 
1.3%
Other values (330) 5941
58.2%
Latin
ValueCountFrequency (%)
C 23
23.0%
F 13
13.0%
I 10
10.0%
G 9
 
9.0%
D 5
 
5.0%
S 5
 
5.0%
A 5
 
5.0%
M 5
 
5.0%
E 4
 
4.0%
K 4
 
4.0%
Other values (8) 17
17.0%
Common
ValueCountFrequency (%)
204
55.3%
2 55
 
14.9%
1 53
 
14.4%
4 20
 
5.4%
3 16
 
4.3%
9 7
 
1.9%
) 3
 
0.8%
( 3
 
0.8%
5 3
 
0.8%
6 2
 
0.5%
Other values (3) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10205
95.6%
ASCII 469
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2471
24.2%
본 422
 
4.1%
대 340
 
3.3%
역 167
 
1.6%
남 161
 
1.6%
신 155
 
1.5%
호 148
 
1.5%
동 141
 
1.4%
스 130
 
1.3%
산 129
 
1.3%
Other values (330) 5941
58.2%
ASCII
ValueCountFrequency (%)
204
43.5%
2 55
 
11.7%
1 53
 
11.3%
C 23
 
4.9%
4 20
 
4.3%
3 16
 
3.4%
F 13
 
2.8%
I 10
 
2.1%
G 9
 
1.9%
9 7
 
1.5%
Other values (21) 59
 
12.6%

대표전화번호
Text

MISSING 

Distinct9863
Distinct (%)100.0%
Missing137
Missing (%)1.4%
Memory size78.3 KiB
2023-12-10T22:07:22.208193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.709825
Min length9

Characters and Unicode

Total characters115494
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

Unique9863 ?
Unique (%)100.0%

Sample

1st row02-792-0303
2nd row070-8879-1967
3rd row02-6010-0499
4th row02-790-2920
5th row02-987-0924
ValueCountFrequency (%)
02-546-9215 1
 
< 0.1%
02-6404-3456 1
 
< 0.1%
064-745-6466 1
 
< 0.1%
064-782-9244 1
 
< 0.1%
02-2692-3877 1
 
< 0.1%
02-558-8082 1
 
< 0.1%
064-763-1033 1
 
< 0.1%
02-318-0192 1
 
< 0.1%
010-6226-9712 1
 
< 0.1%
033-253-2918 1
 
< 0.1%
Other values (9853) 9853
99.9%
2023-12-10T22:07:22.631588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19716
17.1%
0 17013
14.7%
2 14664
12.7%
3 10267
8.9%
7 8616
7.5%
5 8588
7.4%
1 8316
7.2%
4 7595
 
6.6%
8 7266
 
6.3%
6 7140
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95778
82.9%
Dash Punctuation 19716
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17013
17.8%
2 14664
15.3%
3 10267
10.7%
7 8616
9.0%
5 8588
9.0%
1 8316
8.7%
4 7595
7.9%
8 7266
7.6%
6 7140
7.5%
9 6313
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 19716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115494
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19716
17.1%
0 17013
14.7%
2 14664
12.7%
3 10267
8.9%
7 8616
7.5%
5 8588
7.4%
1 8316
7.2%
4 7595
 
6.6%
8 7266
 
6.3%
6 7140
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19716
17.1%
0 17013
14.7%
2 14664
12.7%
3 10267
8.9%
7 8616
7.5%
5 8588
7.4%
1 8316
7.2%
4 7595
 
6.6%
8 7266
 
6.3%
6 7140
 
6.2%

식당지번주소
Text

Distinct9007
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:07:23.020370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length17.8598
Min length11

Characters and Unicode

Total characters178598
Distinct characters314
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

Unique8433 ?
Unique (%)84.3%

Sample

1st row서울시 용산구 용산동2가 44-19
2nd row서울시 용산구 이태원동 63-4
3rd row서울시 마포구 동교동 148-7
4th row서울시 용산구 이태원동 56-20
5th row서울시 종로구 명륜4가 107
ValueCountFrequency (%)
서울시 6014
 
14.4%
경기도 1446
 
3.5%
강남구 1012
 
2.4%
마포구 762
 
1.8%
중구 631
 
1.5%
종로구 540
 
1.3%
제주 503
 
1.2%
서초구 445
 
1.1%
용산구 445
 
1.1%
부산시 417
 
1.0%
Other values (9231) 29554
70.8%
2023-12-10T22:07:23.592720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31775
17.8%
동 9968
 
5.6%
시 9814
 
5.5%
1 8917
 
5.0%
구 8576
 
4.8%
- 8277
 
4.6%
서 7733
 
4.3%
울 6073
 
3.4%
2 5428
 
3.0%
3 4778
 
2.7%
Other values (304) 77259
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96884
54.2%
Decimal Number 41662
23.3%
Space Separator 31775
 
17.8%
Dash Punctuation 8277
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9968
 
10.3%
시 9814
 
10.1%
구 8576
 
8.9%
서 7733
 
8.0%
울 6073
 
6.3%
도 2812
 
2.9%
남 2342
 
2.4%
경 1744
 
1.8%
강 1734
 
1.8%
산 1709
 
1.8%
Other values (292) 44379
45.8%
Decimal Number
ValueCountFrequency (%)
1 8917
21.4%
2 5428
13.0%
3 4778
11.5%
4 4013
9.6%
5 3729
9.0%
6 3660
8.8%
7 2984
 
7.2%
8 2886
 
6.9%
9 2712
 
6.5%
0 2555
 
6.1%
Space Separator
ValueCountFrequency (%)
31775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8277
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96884
54.2%
Common 81714
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9968
 
10.3%
시 9814
 
10.1%
구 8576
 
8.9%
서 7733
 
8.0%
울 6073
 
6.3%
도 2812
 
2.9%
남 2342
 
2.4%
경 1744
 
1.8%
강 1734
 
1.8%
산 1709
 
1.8%
Other values (292) 44379
45.8%
Common
ValueCountFrequency (%)
31775
38.9%
1 8917
 
10.9%
- 8277
 
10.1%
2 5428
 
6.6%
3 4778
 
5.8%
4 4013
 
4.9%
5 3729
 
4.6%
6 3660
 
4.5%
7 2984
 
3.7%
8 2886
 
3.5%
Other values (2) 5267
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96884
54.2%
ASCII 81714
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31775
38.9%
1 8917
 
10.9%
- 8277
 
10.1%
2 5428
 
6.6%
3 4778
 
5.8%
4 4013
 
4.9%
5 3729
 
4.6%
6 3660
 
4.5%
7 2984
 
3.7%
8 2886
 
3.5%
Other values (2) 5267
 
6.4%
Hangul
ValueCountFrequency (%)
동 9968
 
10.3%
시 9814
 
10.1%
구 8576
 
8.9%
서 7733
 
8.0%
울 6073
 
6.3%
도 2812
 
2.9%
남 2342
 
2.4%
경 1744
 
1.8%
강 1734
 
1.8%
산 1709
 
1.8%
Other values (292) 44379
45.8%

식당도로명주소
Text

Distinct9001
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:07:24.070326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length19.4468
Min length13

Characters and Unicode

Total characters194468
Distinct characters452
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8413 ?
Unique (%)84.1%

Sample

1st row서울특별시 용산구 신흥로3길 2
2nd row서울특별시 용산구 이태원로14길 19
3rd row서울특별시 마포구 양화로23길 22-7
4th row서울특별시 용산구 이태원로 136-13
5th row서울특별시 종로구 대학로9길 12
ValueCountFrequency (%)
서울특별시 6015
 
14.4%
경기도 1445
 
3.5%
강남구 1012
 
2.4%
마포구 762
 
1.8%
중구 631
 
1.5%
종로구 540
 
1.3%
제주특별자치도 502
 
1.2%
용산구 445
 
1.1%
서초구 445
 
1.1%
부산광역시 416
 
1.0%
Other values (6979) 29562
70.8%
2023-12-10T22:07:24.753012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31783
 
16.3%
시 9924
 
5.1%
로 9544
 
4.9%
구 8604
 
4.4%
1 7739
 
4.0%
서 7629
 
3.9%
별 6539
 
3.4%
특 6529
 
3.4%
울 6160
 
3.2%
길 6053
 
3.1%
Other values (442) 93964
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125478
64.5%
Decimal Number 35105
 
18.1%
Space Separator 31783
 
16.3%
Dash Punctuation 2101
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9924
 
7.9%
로 9544
 
7.6%
구 8604
 
6.9%
서 7629
 
6.1%
별 6539
 
5.2%
특 6529
 
5.2%
울 6160
 
4.9%
길 6053
 
4.8%
도 3214
 
2.6%
대 2473
 
2.0%
Other values (429) 58809
46.9%
Decimal Number
ValueCountFrequency (%)
1 7739
22.0%
2 5148
14.7%
3 4016
11.4%
4 3325
9.5%
5 3114
8.9%
6 2628
 
7.5%
7 2513
 
7.2%
0 2305
 
6.6%
8 2239
 
6.4%
9 2078
 
5.9%
Space Separator
ValueCountFrequency (%)
31783
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2101
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125478
64.5%
Common 68990
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9924
 
7.9%
로 9544
 
7.6%
구 8604
 
6.9%
서 7629
 
6.1%
별 6539
 
5.2%
특 6529
 
5.2%
울 6160
 
4.9%
길 6053
 
4.8%
도 3214
 
2.6%
대 2473
 
2.0%
Other values (429) 58809
46.9%
Common
ValueCountFrequency (%)
31783
46.1%
1 7739
 
11.2%
2 5148
 
7.5%
3 4016
 
5.8%
4 3325
 
4.8%
5 3114
 
4.5%
6 2628
 
3.8%
7 2513
 
3.6%
0 2305
 
3.3%
8 2239
 
3.2%
Other values (3) 4180
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125478
64.5%
ASCII 68990
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31783
46.1%
1 7739
 
11.2%
2 5148
 
7.5%
3 4016
 
5.8%
4 3325
 
4.8%
5 3114
 
4.5%
6 2628
 
3.8%
7 2513
 
3.6%
0 2305
 
3.3%
8 2239
 
3.2%
Other values (3) 4180
 
6.1%
Hangul
ValueCountFrequency (%)
시 9924
 
7.9%
로 9544
 
7.6%
구 8604
 
6.9%
서 7629
 
6.1%
별 6539
 
5.2%
특 6529
 
5.2%
울 6160
 
4.9%
길 6053
 
4.8%
도 3214
 
2.6%
대 2473
 
2.0%
Other values (429) 58809
46.9%

식당위도좌표값
Real number (ℝ)

Distinct9510
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.051729
Minimum33.208488
Maximum38.447371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:07:24.935694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.208488
5-th percentile33.556087
Q137.369525
median37.515765
Q337.559308
95-th percentile37.658918
Maximum38.447371
Range5.2388836
Interquartile range (IQR)0.1897822

Descriptive statistics

Standard deviation1.097528
Coefficient of variation (CV)0.029621505
Kurtosis3.9766139
Mean37.051729
Median Absolute Deviation (MAD)0.050222715
Skewness-2.230697
Sum370517.29
Variance1.2045676
MonotonicityNot monotonic
2023-12-10T22:07:25.136457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51419392 20
 
0.2%
37.51148311 10
 
0.1%
37.39354833 9
 
0.1%
37.50555211 8
 
0.1%
37.56849914 7
 
0.1%
37.51232892 7
 
0.1%
37.5259168 7
 
0.1%
37.57111948 7
 
0.1%
37.5093946 7
 
0.1%
37.51778061 6
 
0.1%
Other values (9500) 9912
99.1%
ValueCountFrequency (%)
33.2084877 1
< 0.1%
33.21767517 1
< 0.1%
33.2178484 1
< 0.1%
33.2180175 1
< 0.1%
33.21846488 1
< 0.1%
33.2189502 1
< 0.1%
33.2191578 1
< 0.1%
33.21927509 1
< 0.1%
33.219565 1
< 0.1%
33.220378 1
< 0.1%
ValueCountFrequency (%)
38.44737125 1
< 0.1%
38.3705898 1
< 0.1%
38.2578138 1
< 0.1%
38.25316238 1
< 0.1%
38.24942759 1
< 0.1%
38.22161267 1
< 0.1%
38.2199894 1
< 0.1%
38.21886326 1
< 0.1%
38.21520337 1
< 0.1%
38.2148514 1
< 0.1%

식당경도좌표값
Real number (ℝ)

Distinct9512
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.17974
Minimum126.18015
Maximum130.91076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:07:25.327091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.18015
5-th percentile126.64248
Q1126.92684
median127.01099
Q3127.09762
95-th percentile129.03079
Maximum130.91076
Range4.7306112
Interquartile range (IQR)0.17077237

Descriptive statistics

Standard deviation0.62262708
Coefficient of variation (CV)0.0048956469
Kurtosis4.5546418
Mean127.17974
Median Absolute Deviation (MAD)0.084458205
Skewness2.2812352
Sum1271797.4
Variance0.38766448
MonotonicityNot monotonic
2023-12-10T22:07:25.541877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1040148 20
 
0.2%
127.0603371 10
 
0.1%
127.0035662 8
 
0.1%
127.11204583 8
 
0.1%
126.98009134 7
 
0.1%
126.8902163 7
 
0.1%
127.0976163 7
 
0.1%
126.9283122 7
 
0.1%
126.90536746 6
 
0.1%
127.11376097 6
 
0.1%
Other values (9502) 9914
99.1%
ValueCountFrequency (%)
126.1801519 1
< 0.1%
126.19504871 1
< 0.1%
126.1978674 1
< 0.1%
126.1980735 1
< 0.1%
126.19838952 1
< 0.1%
126.2023852 1
< 0.1%
126.2024625 1
< 0.1%
126.21224642 1
< 0.1%
126.2163189 1
< 0.1%
126.2261644 1
< 0.1%
ValueCountFrequency (%)
130.91076313 1
< 0.1%
130.909705 1
< 0.1%
130.9069455 1
< 0.1%
130.8890269 1
< 0.1%
129.5609436 1
< 0.1%
129.48458862 1
< 0.1%
129.47497899 1
< 0.1%
129.47211408 1
< 0.1%
129.4635948 1
< 0.1%
129.463175 1
< 0.1%

1인당가격만원단위구간값
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
만원-2만원
6907 
2만원-3만원
2057 
만원 미만
946 
<NA>
 
89
3만원-4만원
 
1

Length

Max length7
Median length6
Mean length6.0934
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row만원-2만원
2nd row만원-2만원
3rd row2만원-3만원
4th row만원-2만원
5th row만원-2만원

Common Values

ValueCountFrequency (%)
만원-2만원 6907
69.1%
2만원-3만원 2057
 
20.6%
만원 미만 946
 
9.5%
<NA> 89
 
0.9%
3만원-4만원 1
 
< 0.1%

Length

2023-12-10T22:07:26.022490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:26.174183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만원-2만원 6907
63.1%
2만원-3만원 2057
 
18.8%
만원 946
 
8.6%
미만 946
 
8.6%
na 89
 
0.8%
3만원-4만원 1
 
< 0.1%

음식대분류명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
한식
6107 
일식
1548 
양식
1202 
세계음식
630 
중식
 
513

Length

Max length4
Median length2
Mean length2.126
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양식
2nd row세계음식
3rd row양식
4th row양식
5th row일식

Common Values

ValueCountFrequency (%)
한식 6107
61.1%
일식 1548
 
15.5%
양식 1202
 
12.0%
세계음식 630
 
6.3%
중식 513
 
5.1%

Length

2023-12-10T22:07:26.358690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:26.515729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 6107
61.1%
일식 1548
 
15.5%
양식 1202
 
12.0%
세계음식 630
 
6.3%
중식 513
 
5.1%

음식소분류명
Categorical

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
고기 요리
1909 
기타 한식
1174 
해산물 요리
980 
한정식 / 백반 / 정통 한식
765 
닭 / 오리 요리
603 
Other values (30)
4569 

Length

Max length16
Median length15
Mean length7.898
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타 양식
2nd row세계음식 기타
3rd row기타 양식
4th row스테이크 / 바베큐
5th row까스 요리

Common Values

ValueCountFrequency (%)
고기 요리 1909
19.1%
기타 한식 1174
11.7%
해산물 요리 980
 
9.8%
한정식 / 백반 / 정통 한식 765
 
7.6%
닭 / 오리 요리 603
 
6.0%
회 / 스시 462
 
4.6%
탕 / 찌개 / 전골 406
 
4.1%
이자카야 / 오뎅 / 꼬치 399
 
4.0%
브런치 / 버거 / 샌드위치 344
 
3.4%
기타 양식 311
 
3.1%
Other values (25) 2647
26.5%

Length

2023-12-10T22:07:26.679893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6006
19.6%
요리 3837
 
12.5%
한식 2045
 
6.7%
기타 1997
 
6.5%
고기 1909
 
6.2%
정통 1160
 
3.8%
해산물 980
 
3.2%
한정식 765
 
2.5%
백반 765
 
2.5%
중식 676
 
2.2%
Other values (44) 10438
34.1%

식당평점값
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.6%
Missing5786
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean3.799383
Minimum2.5
Maximum4.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:07:26.839221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.2
Q13.5
median3.8
Q34.1
95-th percentile4.4
Maximum4.8
Range2.3
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.38521772
Coefficient of variation (CV)0.10138955
Kurtosis-0.37915962
Mean3.799383
Median Absolute Deviation (MAD)0.3
Skewness-0.21013525
Sum16010.6
Variance0.14839269
MonotonicityNot monotonic
2023-12-10T22:07:26.951468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3.9 394
 
3.9%
3.7 390
 
3.9%
4.0 388
 
3.9%
4.1 365
 
3.6%
3.6 351
 
3.5%
3.8 344
 
3.4%
4.3 337
 
3.4%
3.5 306
 
3.1%
3.4 301
 
3.0%
4.2 258
 
2.6%
Other values (14) 780
 
7.8%
(Missing) 5786
57.9%
ValueCountFrequency (%)
2.5 2
 
< 0.1%
2.6 5
 
0.1%
2.7 10
 
0.1%
2.8 24
 
0.2%
2.9 23
 
0.2%
3.0 46
 
0.5%
3.1 88
 
0.9%
3.2 140
1.4%
3.3 198
2.0%
3.4 301
3.0%
ValueCountFrequency (%)
4.8 5
 
0.1%
4.7 12
 
0.1%
4.6 45
 
0.4%
4.5 53
 
0.5%
4.4 129
 
1.3%
4.3 337
3.4%
4.2 258
2.6%
4.1 365
3.6%
4.0 388
3.9%
3.9 394
3.9%

식당리뷰수
Real number (ℝ)

ZEROS 

Distinct215
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.0444
Minimum0
Maximum519
Zeros159
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:07:27.082413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q316
95-th percentile58
Maximum519
Range519
Interquartile range (IQR)12

Descriptive statistics

Standard deviation28.817416
Coefficient of variation (CV)1.7961043
Kurtosis48.378924
Mean16.0444
Median Absolute Deviation (MAD)4
Skewness5.6973754
Sum160444
Variance830.44347
MonotonicityNot monotonic
2023-12-10T22:07:27.269114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 885
 
8.8%
4 856
 
8.6%
2 719
 
7.2%
5 701
 
7.0%
6 674
 
6.7%
1 539
 
5.4%
7 499
 
5.0%
8 458
 
4.6%
9 415
 
4.2%
10 331
 
3.3%
Other values (205) 3923
39.2%
ValueCountFrequency (%)
0 159
 
1.6%
1 539
5.4%
2 719
7.2%
3 885
8.8%
4 856
8.6%
5 701
7.0%
6 674
6.7%
7 499
5.0%
8 458
4.6%
9 415
4.2%
ValueCountFrequency (%)
519 1
< 0.1%
408 1
< 0.1%
406 1
< 0.1%
366 1
< 0.1%
365 1
< 0.1%
364 1
< 0.1%
359 1
< 0.1%
335 1
< 0.1%
330 1
< 0.1%
329 1
< 0.1%

식당조회수
Real number (ℝ)

Distinct7899
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17079.357
Minimum81
Maximum399025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:07:27.464487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile1923.95
Q13966.75
median6948
Q315477.5
95-th percentile66041.35
Maximum399025
Range398944
Interquartile range (IQR)11510.75

Descriptive statistics

Standard deviation31959.052
Coefficient of variation (CV)1.8712093
Kurtosis38.116839
Mean17079.357
Median Absolute Deviation (MAD)3812
Skewness5.287655
Sum1.7079357 × 108
Variance1.021381 × 109
MonotonicityNot monotonic
2023-12-10T22:07:27.754049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3835 6
 
0.1%
3552 6
 
0.1%
4165 6
 
0.1%
3373 6
 
0.1%
3684 6
 
0.1%
3326 5
 
0.1%
3686 5
 
0.1%
3515 5
 
0.1%
2118 5
 
0.1%
2638 5
 
0.1%
Other values (7889) 9945
99.5%
ValueCountFrequency (%)
81 1
< 0.1%
232 1
< 0.1%
246 1
< 0.1%
250 1
< 0.1%
314 1
< 0.1%
321 2
< 0.1%
326 1
< 0.1%
335 1
< 0.1%
343 1
< 0.1%
371 1
< 0.1%
ValueCountFrequency (%)
399025 1
< 0.1%
396760 1
< 0.1%
393337 1
< 0.1%
384126 1
< 0.1%
383268 1
< 0.1%
380116 1
< 0.1%
379749 1
< 0.1%
378731 1
< 0.1%
364153 1
< 0.1%
354597 1
< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct1490
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.6979
Minimum29
Maximum9088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:07:27.950197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile32
Q145
median85
Q3270
95-th percentile1407.15
Maximum9088
Range9059
Interquartile range (IQR)225

Descriptive statistics

Standard deviation702.63984
Coefficient of variation (CV)2.1706654
Kurtosis34.776779
Mean323.6979
Median Absolute Deviation (MAD)50
Skewness5.1340772
Sum3236979
Variance493702.75
MonotonicityDecreasing
2023-12-10T22:07:28.126268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 219
 
2.2%
35 217
 
2.2%
31 216
 
2.2%
32 208
 
2.1%
37 172
 
1.7%
33 171
 
1.7%
34 170
 
1.7%
38 152
 
1.5%
40 145
 
1.5%
36 143
 
1.4%
Other values (1480) 8187
81.9%
ValueCountFrequency (%)
29 28
 
0.3%
30 219
2.2%
31 216
2.2%
32 208
2.1%
33 171
1.7%
34 170
1.7%
35 217
2.2%
36 143
1.4%
37 172
1.7%
38 152
1.5%
ValueCountFrequency (%)
9088 1
< 0.1%
9019 1
< 0.1%
8491 1
< 0.1%
7772 1
< 0.1%
7548 1
< 0.1%
7496 1
< 0.1%
7438 1
< 0.1%
7416 1
< 0.1%
7295 1
< 0.1%
7228 1
< 0.1%

대상기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
202108
10000 

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 10000
100.0%

Length

2023-12-10T22:07:28.320876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:28.458407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

Sample

기준년월탑리스트ID탑리스트제목명탑리스트설명내용탑리스트순위식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
0202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트1gL8RksQTNk보니스피자펍<NA>02-792-0303서울시 용산구 용산동2가 44-19서울특별시 용산구 신흥로3길 237.541198126.98694만원-2만원양식기타 양식4.33662691679088202108
1202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트2F4LMucA69A브라이리퍼블릭이태원점070-8879-1967서울시 용산구 이태원동 63-4서울특별시 용산구 이태원로14길 1937.53353126.990799만원-2만원세계음식세계음식 기타4.52913933379019202108
2202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트31d1yOr4R-R더다이닝랩<NA>02-6010-0499서울시 마포구 동교동 148-7서울특별시 마포구 양화로23길 22-737.559647126.9252522만원-3만원양식기타 양식4.22293787318491202108
3202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트45CabktapU2라이너스바베큐<NA>02-790-2920서울시 용산구 이태원동 56-20서울특별시 용산구 이태원로 136-1337.533794126.989669만원-2만원양식스테이크 / 바베큐4.23643990257772202108
4202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트5DsIDC233ow정돈대학로점02-987-0924서울시 종로구 명륜4가 107서울특별시 종로구 대학로9길 1237.581813127.001091만원-2만원일식까스 요리4.14083545977548202108
5202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트6vI2c9_tWVwoc엘리스리틀이태리<NA>010-6545-1410서울시 송파구 송파동 8서울특별시 송파구 백제고분로41길 43-2137.508658127.104882만원-3만원양식기타 양식4.62053641537496202108
6202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트7jiQPoOdNDqQc와라야키 쿠이신보<NA>02-546-9215서울시 강남구 신사동 539서울특별시 강남구 도산대로15길 637.518604127.024132만원-3만원일식이자카야 / 오뎅 / 꼬치4.71043797497438202108
7202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트8RDFBgxyE0M아이엠어버거<NA>02-338-8507서울시 마포구 창전동 5-78서울특별시 마포구 와우산로30길 1337.55417126.929965만원-2만원양식브런치 / 버거 / 샌드위치4.32162418827416202108
8202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9hBhqPuIf8X미미면가<NA>070-4211-5466서울시 강남구 신사동 521-16서울특별시 강남구 도산대로1길 1237.520079127.021114만원-2만원일식라멘 / 소바 / 우동4.22762187227295202108
9202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트10W7ie2Qm0gZ길버트버거앤프라이즈가로수길점02-546-5453서울시 강남구 신사동 545-3서울특별시 강남구 도산대로15길 4737.521255127.023224만원-2만원양식브런치 / 버거 / 샌드위치4.32452480317228202108
기준년월탑리스트ID탑리스트제목명탑리스트설명내용탑리스트순위식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
9990202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9991Ks9y4oYXeD솔밭집<NA>051-515-0066부산시 금정구 장전동 산 29-4부산광역시 금정구 산성로 961-335.231176129.07575만원-2만원한식닭 / 오리 요리<NA>2634129202108
9991202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9992eBBGH_yqWQ조방낙지<NA>051-528-7055부산시 동래구 명장동 63-4부산광역시 동래구 명장로20번길 6035.203448129.10125만원-2만원한식탕 / 찌개 / 전골<NA>3246129202108
9992202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9993CH2jxzavcJ오륙도낙지<NA>051-506-1854부산시 동래구 사직동 90-39부산광역시 동래구 사직북로5번길 3035.196213129.059168만원-2만원한식해산물 요리<NA>7252229202108
9993202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9994KUMjNQOlOP청송양곱창<NA>051-627-5291부산시 수영구 남천동 6-13부산광역시 수영구 남천동로108번길 835.145773129.11203만원-2만원한식고기 요리<NA>7207529202108
9994202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9995vnO6XwmBKk용광횟집<NA>051-255-6859부산시 중구 보수동3가 62-5부산광역시 중구 보수대로106번길 3535.104043129.0225692만원-3만원한식해산물 요리<NA>5236729202108
9995202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9996o4xqg5Fs7h가랑잎새<NA>052-264-3720울산시 울주군 상북면 궁근정리 379울산광역시 울주군 상북면 우만길 27-1935.61084129.077628만원-2만원한식한정식 / 백반 / 정통 한식<NA>1534629202108
9996202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9997cPD3jD3PZe서가앤쿡대전둔산점042-489-5546대전시 서구 둔산동 1015대전광역시 서구 둔산로31번길 10-3536.353246127.378257만원-2만원양식패밀리 레스토랑<NA>3356929202108
9997202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트9998fYA47Bssef스시안<NA>042-825-2900대전시 유성구 장대동 370-13대전광역시 유성구 유성대로730번길 10936.357973127.338754만원-2만원일식회 / 스시<NA>6302829202108
9998202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트99999z8dEIzUwW비바돈까스<NA>042-226-3929대전시 유성구 어은동 108-5대전광역시 유성구 어은로57번길 136.363102127.356445만원-2만원일식까스 요리<NA>4562129202108
9999202108TOP_Delivery_202108배달탑리스트배달 하는 식당중 가장 인기있는 곳들을 모은 탑리스트10000oikH_JuXXN용<NA>02-964-0202서울시 동대문구 회기동 45-105서울특별시 동대문구 회기로 15637.590923127.053368만원 미만한식기타 한식<NA>3160229202108