Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells46628
Missing cells (%)19.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory209.0 B

Variable types

Categorical6
Text11
Numeric7

Dataset

DescriptionSample
Author주식회사 여기어때컴퍼니
URLhttps://www.bigdata-finance.kr/dataset/datasetView.do?datastId=SET0400007

Alerts

기준년월 has constant value ""Constant
대상기준년월 has constant value ""Constant
지점명 has 7814 (78.1%) missing valuesMissing
대표전화번호 has 306 (3.1%) missing valuesMissing
식당영업시간값 has 1538 (15.4%) missing valuesMissing
휴식시간내용 has 8684 (86.8%) missing valuesMissing
최종주문가능시간값 has 8363 (83.6%) missing valuesMissing
식당휴일내용 has 7058 (70.6%) missing valuesMissing
메인메뉴내용 has 6470 (64.7%) missing valuesMissing
식당평점값 has 6395 (63.9%) missing valuesMissing
식당ID has unique valuesUnique
식당리뷰수 has 258 (2.6%) zerosZeros

Reproduction

Analysis started2023-12-10 13:04:10.821153
Analysis finished2023-12-10 13:04:12.213882
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 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

2023-12-10T22:04:12.268443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:04:12.346340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

식당ID
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-10T22:04:12.575541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.1034
Min length10

Characters and Unicode

Total characters111034
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 row6RR2f98DPH
2nd rowwiHy8aWTiz
3rd rowhsVjO4zicOzR
4th rowVoapl9U2IvLv
5th rowUTcq3Hi0I3F1
ValueCountFrequency (%)
6rr2f98dph 1
 
< 0.1%
01utzitgid 1
 
< 0.1%
uyt3psdup8 1
 
< 0.1%
dhm4byhslc 1
 
< 0.1%
xeiukwpvp3 1
 
< 0.1%
ntzzcma-h8uw 1
 
< 0.1%
c-g-zq81nh 1
 
< 0.1%
svvewultlisn 1
 
< 0.1%
07ksn5pggtgx 1
 
< 0.1%
vjhog02uyoes 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-10T22:04:12.999447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
R 1831
 
1.6%
K 1830
 
1.6%
D 1820
 
1.6%
H 1811
 
1.6%
3 1803
 
1.6%
L 1796
 
1.6%
o 1788
 
1.6%
8 1786
 
1.6%
i 1782
 
1.6%
5 1781
 
1.6%
Other values (54) 93006
83.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 45238
40.7%
Lowercase Letter 44952
40.5%
Decimal Number 17388
 
15.7%
Dash Punctuation 1740
 
1.6%
Connector Punctuation 1716
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 1831
 
4.0%
K 1830
 
4.0%
D 1820
 
4.0%
H 1811
 
4.0%
L 1796
 
4.0%
E 1780
 
3.9%
B 1769
 
3.9%
F 1757
 
3.9%
V 1756
 
3.9%
N 1751
 
3.9%
Other values (16) 27337
60.4%
Lowercase Letter
ValueCountFrequency (%)
o 1788
 
4.0%
i 1782
 
4.0%
c 1776
 
4.0%
w 1766
 
3.9%
a 1751
 
3.9%
h 1751
 
3.9%
p 1741
 
3.9%
g 1741
 
3.9%
u 1741
 
3.9%
e 1740
 
3.9%
Other values (16) 27375
60.9%
Decimal Number
ValueCountFrequency (%)
3 1803
10.4%
8 1786
10.3%
5 1781
10.2%
1 1769
10.2%
2 1743
10.0%
0 1727
9.9%
9 1724
9.9%
4 1713
9.9%
7 1688
9.7%
6 1654
9.5%
Dash Punctuation
ValueCountFrequency (%)
- 1740
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 90190
81.2%
Common 20844
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 1831
 
2.0%
K 1830
 
2.0%
D 1820
 
2.0%
H 1811
 
2.0%
L 1796
 
2.0%
o 1788
 
2.0%
i 1782
 
2.0%
E 1780
 
2.0%
c 1776
 
2.0%
B 1769
 
2.0%
Other values (42) 72207
80.1%
Common
ValueCountFrequency (%)
3 1803
8.6%
8 1786
8.6%
5 1781
8.5%
1 1769
8.5%
2 1743
8.4%
- 1740
8.3%
0 1727
8.3%
9 1724
8.3%
_ 1716
8.2%
4 1713
8.2%
Other values (2) 3342
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 111034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R 1831
 
1.6%
K 1830
 
1.6%
D 1820
 
1.6%
H 1811
 
1.6%
3 1803
 
1.6%
L 1796
 
1.6%
o 1788
 
1.6%
8 1786
 
1.6%
i 1782
 
1.6%
5 1781
 
1.6%
Other values (54) 93006
83.8%

식당명
Text

Distinct9387
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-10T22:04:13.307055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length13.0951
Min length2

Characters and Unicode

Total characters130951
Distinct characters118
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9006 ?
Unique (%)90.1%

Sample

1st rowHana Donkatsu
2nd rowQoo Qoo
3rd rowNam Chuncheon Dakgalbi
4th rowBe Pork Bistro
5th rowPatisserie Sona
ValueCountFrequency (%)
cafe 374
 
2.0%
coffee 279
 
1.5%
sikdang 273
 
1.5%
the 157
 
0.8%
sushi 139
 
0.7%
and 90
 
0.5%
house 70
 
0.4%
jip 66
 
0.4%
galbi 66
 
0.4%
kitchen 62
 
0.3%
Other values (10124) 17084
91.6%
2023-12-10T22:04:13.749093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 13074
 
10.0%
n 10890
 
8.3%
o 10623
 
8.1%
e 10248
 
7.8%
8682
 
6.6%
g 7361
 
5.6%
i 6877
 
5.3%
u 5856
 
4.5%
s 3613
 
2.8%
k 3587
 
2.7%
Other values (108) 50140
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 102132
78.0%
Uppercase Letter 19054
 
14.6%
Space Separator 8682
 
6.6%
Decimal Number 724
 
0.6%
Dash Punctuation 236
 
0.2%
Other Letter 51
 
< 0.1%
Other Punctuation 42
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2
 
3.9%
마 2
 
3.9%
소 2
 
3.9%
성 2
 
3.9%
정 2
 
3.9%
안 2
 
3.9%
도 1
 
2.0%
네 1
 
2.0%
꼬 1
 
2.0%
막 1
 
2.0%
Other values (35) 35
68.6%
Lowercase Letter
ValueCountFrequency (%)
a 13074
12.8%
n 10890
10.7%
o 10623
10.4%
e 10248
 
10.0%
g 7361
 
7.2%
i 6877
 
6.7%
u 5856
 
5.7%
s 3613
 
3.5%
k 3587
 
3.5%
l 3586
 
3.5%
Other values (16) 26417
25.9%
Uppercase Letter
ValueCountFrequency (%)
S 2446
12.8%
C 1704
 
8.9%
G 1526
 
8.0%
B 1517
 
8.0%
M 1434
 
7.5%
H 1204
 
6.3%
D 1144
 
6.0%
J 1042
 
5.5%
T 900
 
4.7%
P 757
 
4.0%
Other values (16) 5380
28.2%
Decimal Number
ValueCountFrequency (%)
1 139
19.2%
2 94
13.0%
0 84
11.6%
9 77
10.6%
3 73
10.1%
4 71
9.8%
5 66
9.1%
8 46
 
6.4%
7 42
 
5.8%
6 32
 
4.4%
Other Punctuation
ValueCountFrequency (%)
& 26
61.9%
? 7
 
16.7%
, 5
 
11.9%
: 2
 
4.8%
/ 1
 
2.4%
! 1
 
2.4%
Space Separator
ValueCountFrequency (%)
8682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 121186
92.5%
Common 9714
 
7.4%
Hangul 51
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 13074
 
10.8%
n 10890
 
9.0%
o 10623
 
8.8%
e 10248
 
8.5%
g 7361
 
6.1%
i 6877
 
5.7%
u 5856
 
4.8%
s 3613
 
3.0%
k 3587
 
3.0%
l 3586
 
3.0%
Other values (42) 45471
37.5%
Hangul
ValueCountFrequency (%)
리 2
 
3.9%
마 2
 
3.9%
소 2
 
3.9%
성 2
 
3.9%
정 2
 
3.9%
안 2
 
3.9%
도 1
 
2.0%
네 1
 
2.0%
꼬 1
 
2.0%
막 1
 
2.0%
Other values (35) 35
68.6%
Common
ValueCountFrequency (%)
8682
89.4%
- 236
 
2.4%
1 139
 
1.4%
2 94
 
1.0%
0 84
 
0.9%
9 77
 
0.8%
3 73
 
0.8%
4 71
 
0.7%
5 66
 
0.7%
8 46
 
0.5%
Other values (11) 146
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130898
> 99.9%
Hangul 51
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 13074
 
10.0%
n 10890
 
8.3%
o 10623
 
8.1%
e 10248
 
7.8%
8682
 
6.6%
g 7361
 
5.6%
i 6877
 
5.3%
u 5856
 
4.5%
s 3613
 
2.8%
k 3587
 
2.7%
Other values (62) 50087
38.3%
Hangul
ValueCountFrequency (%)
리 2
 
3.9%
마 2
 
3.9%
소 2
 
3.9%
성 2
 
3.9%
정 2
 
3.9%
안 2
 
3.9%
도 1
 
2.0%
네 1
 
2.0%
꼬 1
 
2.0%
막 1
 
2.0%
Other values (35) 35
68.6%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

지점명
Text

MISSING 

Distinct1023
Distinct (%)46.8%
Missing7814
Missing (%)78.1%
Memory size156.2 KiB
2023-12-10T22:04:14.060838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length17.237877
Min length4

Characters and Unicode

Total characters37682
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique727 ?
Unique (%)33.3%

Sample

1st rowOncheon Branch
2nd rowPyeongchon Beomgye Branch
3rd rowGangnam Station Branch
4th rowGangnam Branch
5th row2nd Branch
ValueCountFrequency (%)
branch 1956
34.7%
main 281
 
5.0%
univ 148
 
2.6%
station 122
 
2.2%
gangnam 91
 
1.6%
dept 79
 
1.4%
mall 73
 
1.3%
seoul 64
 
1.1%
store 58
 
1.0%
2nd 49
 
0.9%
Other values (782) 2714
48.2%
2023-12-10T22:04:14.481266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 4963
13.2%
a 4160
 
11.0%
3478
 
9.2%
r 2456
 
6.5%
h 2419
 
6.4%
c 2195
 
5.8%
B 2108
 
5.6%
o 2092
 
5.6%
e 1772
 
4.7%
g 1326
 
3.5%
Other values (56) 10713
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28318
75.1%
Uppercase Letter 5666
 
15.0%
Space Separator 3478
 
9.2%
Decimal Number 139
 
0.4%
Dash Punctuation 64
 
0.2%
Other Punctuation 15
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4963
17.5%
a 4160
14.7%
r 2456
8.7%
h 2419
8.5%
c 2195
7.8%
o 2092
7.4%
e 1772
 
6.3%
g 1326
 
4.7%
i 1251
 
4.4%
u 927
 
3.3%
Other values (16) 4757
16.8%
Uppercase Letter
ValueCountFrequency (%)
B 2108
37.2%
S 709
 
12.5%
M 466
 
8.2%
G 302
 
5.3%
D 260
 
4.6%
H 243
 
4.3%
C 204
 
3.6%
Y 187
 
3.3%
U 171
 
3.0%
J 125
 
2.2%
Other values (15) 891
15.7%
Decimal Number
ValueCountFrequency (%)
2 50
36.0%
1 32
23.0%
4 24
17.3%
3 16
 
11.5%
9 9
 
6.5%
5 3
 
2.2%
6 2
 
1.4%
8 2
 
1.4%
0 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
' 14
93.3%
& 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 33984
90.2%
Common 3698
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 4963
14.6%
a 4160
12.2%
r 2456
 
7.2%
h 2419
 
7.1%
c 2195
 
6.5%
B 2108
 
6.2%
o 2092
 
6.2%
e 1772
 
5.2%
g 1326
 
3.9%
i 1251
 
3.7%
Other values (41) 9242
27.2%
Common
ValueCountFrequency (%)
3478
94.1%
- 64
 
1.7%
2 50
 
1.4%
1 32
 
0.9%
4 24
 
0.6%
3 16
 
0.4%
' 14
 
0.4%
9 9
 
0.2%
5 3
 
0.1%
6 2
 
0.1%
Other values (5) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 4963
13.2%
a 4160
 
11.0%
3478
 
9.2%
r 2456
 
6.5%
h 2419
 
6.4%
c 2195
 
5.8%
B 2108
 
5.6%
o 2092
 
5.6%
e 1772
 
4.7%
g 1326
 
3.5%
Other values (56) 10713
28.4%

식당우편번호
Real number (ℝ)

Distinct4135
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17087.534
Minimum1000
Maximum63643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-10T22:04:14.614918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3020
Q14427
median7015
Q324414.25
95-th percentile61489.2
Maximum63643
Range62643
Interquartile range (IQR)19987.25

Descriptive statistics

Standard deviation18209.759
Coefficient of variation (CV)1.0656751
Kurtosis0.51315172
Mean17087.534
Median Absolute Deviation (MAD)3851.5
Skewness1.3565403
Sum1.7087534 × 108
Variance3.3159531 × 108
MonotonicityNot monotonic
2023-12-10T22:04:14.743477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3982 53
 
0.5%
6164 42
 
0.4%
4049 37
 
0.4%
8788 36
 
0.4%
8789 31
 
0.3%
4053 30
 
0.3%
3133 30
 
0.3%
4400 28
 
0.3%
6123 28
 
0.3%
22003 28
 
0.3%
Other values (4125) 9657
96.6%
ValueCountFrequency (%)
1000 2
< 0.1%
1006 1
< 0.1%
1009 2
< 0.1%
1010 1
< 0.1%
1012 1
< 0.1%
1014 1
< 0.1%
1016 1
< 0.1%
1017 1
< 0.1%
1019 1
< 0.1%
1021 1
< 0.1%
ValueCountFrequency (%)
63643 6
0.1%
63641 3
 
< 0.1%
63640 5
0.1%
63639 1
 
< 0.1%
63638 1
 
< 0.1%
63636 1
 
< 0.1%
63635 1
 
< 0.1%
63633 2
 
< 0.1%
63631 1
 
< 0.1%
63629 12
0.1%

대표전화번호
Text

MISSING 

Distinct9690
Distinct (%)> 99.9%
Missing306
Missing (%)3.1%
Memory size156.2 KiB
2023-12-10T22:04:15.029733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.812977
Min length9

Characters and Unicode

Total characters114515
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9686 ?
Unique (%)99.9%

Sample

1st row051-553-5055
2nd row031-383-6274
3rd row031-771-2103
4th row064-732-1037
5th row02-2606-4454
ValueCountFrequency (%)
1588-8069 2
 
< 0.1%
02-790-3875 2
 
< 0.1%
02-3449-5478 2
 
< 0.1%
02-772-3011 2
 
< 0.1%
032-676-9461 1
 
< 0.1%
02-312-5955 1
 
< 0.1%
031-581-5570 1
 
< 0.1%
031-592-6654 1
 
< 0.1%
033-743-2909 1
 
< 0.1%
02-846-2211 1
 
< 0.1%
Other values (9680) 9680
99.9%
2023-12-10T22:04:15.397902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19361
16.9%
0 17646
15.4%
2 13785
12.0%
3 9988
8.7%
7 8821
7.7%
1 8702
7.6%
5 8401
7.3%
4 7511
 
6.6%
8 7268
 
6.3%
6 7003
 
6.1%
Other values (2) 6029
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95153
83.1%
Dash Punctuation 19361
 
16.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17646
18.5%
2 13785
14.5%
3 9988
10.5%
7 8821
9.3%
1 8702
9.1%
5 8401
8.8%
4 7511
7.9%
8 7268
7.6%
6 7003
 
7.4%
9 6028
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 19361
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19361
16.9%
0 17646
15.4%
2 13785
12.0%
3 9988
8.7%
7 8821
7.7%
1 8702
7.6%
5 8401
7.3%
4 7511
 
6.6%
8 7268
 
6.3%
6 7003
 
6.1%
Other values (2) 6029
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19361
16.9%
0 17646
15.4%
2 13785
12.0%
3 9988
8.7%
7 8821
7.7%
1 8702
7.6%
5 8401
7.3%
4 7511
 
6.6%
8 7268
 
6.3%
6 7003
 
6.1%
Other values (2) 6029
 
5.3%

식당지번주소
Text

Distinct9181
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-10T22:04:15.636053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length71
Mean length41.9116
Min length23

Characters and Unicode

Total characters419116
Distinct characters59
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8689 ?
Unique (%)86.9%

Sample

1st row435-28, Oncheon-dong, Dongnae-gu, Busan
2nd row1045-6, Hogye-dong, Dongan-gu, Anyang-si, Gyeonggi-do
3rd row441-11, Gongheung-ri, Yangpyeong-eup, Yangpyeong-gun, Gyeonggi-do
4th row551-1, Seogwi-dong, Seogwipo-si, Jeju-do
5th row948-26, Sinjeong-dong, Yangcheon-gu, Seoul
ValueCountFrequency (%)
seoul 5679
 
13.2%
gyeonggi-do 1413
 
3.3%
gangnam-gu 870
 
2.0%
mapo-gu 738
 
1.7%
jung-gu 605
 
1.4%
jongno-gu 523
 
1.2%
busan 439
 
1.0%
yongsan-gu 436
 
1.0%
seocho-gu 424
 
1.0%
incheon 351
 
0.8%
Other values (9519) 31621
73.4%
2023-12-10T22:04:16.033044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 39275
 
9.4%
n 38760
 
9.2%
g 37260
 
8.9%
- 33458
 
8.0%
33104
 
7.9%
, 31888
 
7.6%
u 22932
 
5.5%
e 21866
 
5.2%
a 18293
 
4.4%
d 13936
 
3.3%
Other values (49) 128344
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 245239
58.5%
Decimal Number 42071
 
10.0%
Dash Punctuation 33458
 
8.0%
Space Separator 33104
 
7.9%
Uppercase Letter 31993
 
7.6%
Other Punctuation 31889
 
7.6%
Close Punctuation 678
 
0.2%
Open Punctuation 678
 
0.2%
Connector Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 39275
16.0%
n 38760
15.8%
g 37260
15.2%
u 22932
9.4%
e 21866
8.9%
a 18293
7.5%
d 13936
 
5.7%
i 8196
 
3.3%
l 7703
 
3.1%
s 6821
 
2.8%
Other values (11) 30197
12.3%
Uppercase Letter
ValueCountFrequency (%)
S 10610
33.2%
G 5352
16.7%
J 3191
 
10.0%
Y 2278
 
7.1%
D 2006
 
6.3%
B 1783
 
5.6%
M 1363
 
4.3%
H 1100
 
3.4%
C 900
 
2.8%
I 857
 
2.7%
Other values (11) 2553
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 8981
21.3%
2 5633
13.4%
3 4786
11.4%
4 4166
9.9%
5 3733
8.9%
6 3503
 
8.3%
7 2946
 
7.0%
8 2856
 
6.8%
9 2778
 
6.6%
0 2689
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 31888
> 99.9%
/ 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 33458
100.0%
Space Separator
ValueCountFrequency (%)
33104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 678
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 277232
66.1%
Common 141884
33.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 39275
14.2%
n 38760
14.0%
g 37260
13.4%
u 22932
 
8.3%
e 21866
 
7.9%
a 18293
 
6.6%
d 13936
 
5.0%
S 10610
 
3.8%
i 8196
 
3.0%
l 7703
 
2.8%
Other values (32) 58401
21.1%
Common
ValueCountFrequency (%)
- 33458
23.6%
33104
23.3%
, 31888
22.5%
1 8981
 
6.3%
2 5633
 
4.0%
3 4786
 
3.4%
4 4166
 
2.9%
5 3733
 
2.6%
6 3503
 
2.5%
7 2946
 
2.1%
Other values (7) 9686
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 419116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 39275
 
9.4%
n 38760
 
9.2%
g 37260
 
8.9%
- 33458
 
8.0%
33104
 
7.9%
, 31888
 
7.6%
u 22932
 
5.5%
e 21866
 
5.2%
a 18293
 
4.4%
d 13936
 
3.3%
Other values (49) 128344
30.6%

식당도로명주소
Text

Distinct9181
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-10T22:04:16.245069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length71
Mean length41.9103
Min length23

Characters and Unicode

Total characters419103
Distinct characters59
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8689 ?
Unique (%)86.9%

Sample

1st row435-28, Oncheon-dong, Dongnae-gu, Busan
2nd row1045-6, Hogye-dong, Dongan-gu, Anyang-si, Gyeonggi-do
3rd row441-11, Gongheung-ri, Yangpyeong-eup, Yangpyeong-gun, Gyeonggi-do
4th row551-1, Seogwi-dong, Seogwipo-si, Jeju-do
5th row948-26, Sinjeong-dong, Yangcheon-gu, Seoul
ValueCountFrequency (%)
seoul 5679
 
13.2%
gyeonggi-do 1413
 
3.3%
gangnam-gu 870
 
2.0%
mapo-gu 738
 
1.7%
jung-gu 606
 
1.4%
jongno-gu 523
 
1.2%
busan 439
 
1.0%
yongsan-gu 436
 
1.0%
seocho-gu 424
 
1.0%
incheon 351
 
0.8%
Other values (9518) 31620
73.4%
2023-12-10T22:04:16.814878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 39274
 
9.4%
n 38761
 
9.2%
g 37260
 
8.9%
- 33457
 
8.0%
33104
 
7.9%
, 31888
 
7.6%
u 22931
 
5.5%
e 21864
 
5.2%
a 18292
 
4.4%
d 13936
 
3.3%
Other values (49) 128336
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 245233
58.5%
Decimal Number 42067
 
10.0%
Dash Punctuation 33457
 
8.0%
Space Separator 33104
 
7.9%
Uppercase Letter 31993
 
7.6%
Other Punctuation 31889
 
7.6%
Close Punctuation 677
 
0.2%
Open Punctuation 677
 
0.2%
Connector Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 39274
16.0%
n 38761
15.8%
g 37260
15.2%
u 22931
9.4%
e 21864
8.9%
a 18292
7.5%
d 13936
 
5.7%
i 8197
 
3.3%
l 7703
 
3.1%
s 6818
 
2.8%
Other values (11) 30197
12.3%
Uppercase Letter
ValueCountFrequency (%)
S 10608
33.2%
G 5352
16.7%
J 3192
 
10.0%
Y 2278
 
7.1%
D 2007
 
6.3%
B 1783
 
5.6%
M 1363
 
4.3%
H 1100
 
3.4%
C 900
 
2.8%
I 857
 
2.7%
Other values (11) 2553
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 8980
21.3%
2 5633
13.4%
3 4787
11.4%
4 4164
9.9%
5 3733
8.9%
6 3503
 
8.3%
7 2946
 
7.0%
8 2856
 
6.8%
9 2778
 
6.6%
0 2687
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 31888
> 99.9%
/ 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 33457
100.0%
Space Separator
ValueCountFrequency (%)
33104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 677
100.0%
Open Punctuation
ValueCountFrequency (%)
( 677
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 277226
66.1%
Common 141877
33.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 39274
14.2%
n 38761
14.0%
g 37260
13.4%
u 22931
 
8.3%
e 21864
 
7.9%
a 18292
 
6.6%
d 13936
 
5.0%
S 10608
 
3.8%
i 8197
 
3.0%
l 7703
 
2.8%
Other values (32) 58400
21.1%
Common
ValueCountFrequency (%)
- 33457
23.6%
33104
23.3%
, 31888
22.5%
1 8980
 
6.3%
2 5633
 
4.0%
3 4787
 
3.4%
4 4164
 
2.9%
5 3733
 
2.6%
6 3503
 
2.5%
7 2946
 
2.1%
Other values (7) 9682
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 419103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 39274
 
9.4%
n 38761
 
9.2%
g 37260
 
8.9%
- 33457
 
8.0%
33104
 
7.9%
, 31888
 
7.6%
u 22931
 
5.5%
e 21864
 
5.2%
a 18292
 
4.4%
d 13936
 
3.3%
Other values (49) 128336
30.6%

식당위도좌표값
Real number (ℝ)

Distinct9567
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.02745
Minimum33.207875
Maximum38.493233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-10T22:04:16.943899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.207875
5-th percentile34.760523
Q137.299908
median37.513282
Q337.559084
95-th percentile37.665784
Maximum38.493233
Range5.2853575
Interquartile range (IQR)0.25917553

Descriptive statistics

Standard deviation1.0845724
Coefficient of variation (CV)0.029291035
Kurtosis3.5670803
Mean37.02745
Median Absolute Deviation (MAD)0.05799965
Skewness-2.0994706
Sum370274.5
Variance1.1762972
MonotonicityNot monotonic
2023-12-10T22:04:17.063653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51419392 17
 
0.2%
37.39759869 11
 
0.1%
37.50555211 11
 
0.1%
37.51148311 10
 
0.1%
37.2903393 7
 
0.1%
37.50843949 7
 
0.1%
37.51232892 7
 
0.1%
37.39354833 7
 
0.1%
37.52719061 6
 
0.1%
37.52108527 6
 
0.1%
Other values (9557) 9911
99.1%
ValueCountFrequency (%)
33.2078754 1
< 0.1%
33.21248245 1
< 0.1%
33.22107254 1
< 0.1%
33.22139359 1
< 0.1%
33.2214145 1
< 0.1%
33.22174835 1
< 0.1%
33.2254873 1
< 0.1%
33.22591782 1
< 0.1%
33.226796 1
< 0.1%
33.2277787 1
< 0.1%
ValueCountFrequency (%)
38.4932329 1
< 0.1%
38.45438453 1
< 0.1%
38.4510294 1
< 0.1%
38.44716965 1
< 0.1%
38.3755237 1
< 0.1%
38.3752432 1
< 0.1%
38.3729514 1
< 0.1%
38.3705898 1
< 0.1%
38.35627727 1
< 0.1%
38.3534145 1
< 0.1%

식당경도좌표값
Real number (ℝ)

Distinct9569
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.22493
Minimum126.14561
Maximum130.90971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-10T22:04:17.219089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.14561
5-th percentile126.64632
Q1126.92807
median127.01605
Q3127.11195
95-th percentile129.06029
Maximum130.90971
Range4.7640985
Interquartile range (IQR)0.18388096

Descriptive statistics

Standard deviation0.6665757
Coefficient of variation (CV)0.0052393481
Kurtosis3.0322997
Mean127.22493
Median Absolute Deviation (MAD)0.090655
Skewness1.9990234
Sum1272249.3
Variance0.44432316
MonotonicityNot monotonic
2023-12-10T22:04:17.384398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1040148 17
 
0.2%
127.11376097 11
 
0.1%
127.0035662 11
 
0.1%
127.0603371 10
 
0.1%
127.05993123 7
 
0.1%
127.05171089 7
 
0.1%
127.11204583 7
 
0.1%
127.0976163 7
 
0.1%
127.06103062 6
 
0.1%
127.02776092 6
 
0.1%
Other values (9559) 9911
99.1%
ValueCountFrequency (%)
126.1456065 1
< 0.1%
126.16412264 1
< 0.1%
126.1772852 1
< 0.1%
126.1800996 1
< 0.1%
126.1801519 1
< 0.1%
126.19504871 1
< 0.1%
126.19838952 1
< 0.1%
126.2060462 1
< 0.1%
126.2142782 1
< 0.1%
126.22450184 1
< 0.1%
ValueCountFrequency (%)
130.909705 1
< 0.1%
130.90967506 1
< 0.1%
130.83766174 1
< 0.1%
129.5609436 1
< 0.1%
129.55314986 1
< 0.1%
129.45709028 1
< 0.1%
129.45469811 1
< 0.1%
129.44632608 1
< 0.1%
129.4298726 1
< 0.1%
129.41625977 1
< 0.1%

1인당가격만원단위구간값
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Less than 10,000 Won
4893 
10,000 ~ 20,000 Won
3260 
20,000 ~ 30,000 Won
1031 
More than 40,000 Won
 
309
30,000 ~ 40,000 Won
 
293

Length

Max length20
Median length20
Mean length19.1992
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10,000 ~ 20,000 Won
2nd row10,000 ~ 20,000 Won
3rd rowLess than 10,000 Won
4th row20,000 ~ 30,000 Won
5th rowLess than 10,000 Won

Common Values

ValueCountFrequency (%)
Less than 10,000 Won 4893
48.9%
10,000 ~ 20,000 Won 3260
32.6%
20,000 ~ 30,000 Won 1031
 
10.3%
More than 40,000 Won 309
 
3.1%
30,000 ~ 40,000 Won 293
 
2.9%
<NA> 214
 
2.1%

Length

2023-12-10T22:04:17.580674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:04:17.683694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
won 9786
24.9%
10,000 8153
20.7%
than 5202
13.2%
less 4893
12.4%
4584
11.6%
20,000 4291
10.9%
30,000 1324
 
3.4%
40,000 602
 
1.5%
more 309
 
0.8%
na 214
 
0.5%

음식대분류명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Korean
3814 
Cafe
2459 
Western
1123 
Japanese
1098 
Bar
604 
Other values (3)
902 

Length

Max length8
Median length7
Mean length5.6748
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJapanese
2nd rowBuffet
3rd rowKorean
4th rowWestern
5th rowCafe

Common Values

ValueCountFrequency (%)
Korean 3814
38.1%
Cafe 2459
24.6%
Western 1123
 
11.2%
Japanese 1098
 
11.0%
Bar 604
 
6.0%
Chinese 502
 
5.0%
World 343
 
3.4%
Buffet 57
 
0.6%

Length

2023-12-10T22:04:17.789342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:04:17.893440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
korean 3814
38.1%
cafe 2459
24.6%
western 1123
 
11.2%
japanese 1098
 
11.0%
bar 604
 
6.0%
chinese 502
 
5.0%
world 343
 
3.4%
buffet 57
 
0.6%

음식소분류명
Categorical

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Cafe, Dessert
2159 
Korean BBQ
937 
Traditional Korean
574 
Seafood
561 
Soup
 
490
Other values (37)
5279 

Length

Max length24
Median length20
Mean length11.5231
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJapanese Cutlet
2nd rowBuffet
3rd rowPoultry
4th rowItalian
5th rowBakery

Common Values

ValueCountFrequency (%)
Cafe, Dessert 2159
21.6%
Korean BBQ 937
 
9.4%
Traditional Korean 574
 
5.7%
Seafood 561
 
5.6%
Soup 490
 
4.9%
Other Korean 475
 
4.8%
Noodle 429
 
4.3%
Italian 424
 
4.2%
Poultry 311
 
3.1%
Traditional Chinese 309
 
3.1%
Other values (32) 3331
33.3%

Length

2023-12-10T22:04:18.048084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cafe 2159
 
12.5%
dessert 2159
 
12.5%
korean 2126
 
12.3%
bbq 1047
 
6.0%
traditional 1024
 
5.9%
other 854
 
4.9%
seafood 561
 
3.2%
soup 490
 
2.8%
chinese 472
 
2.7%
noodle 429
 
2.5%
Other values (40) 6003
34.7%

주차구분명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
No Parking Space
3861 
Free Parking
2724 
<NA>
1931 
Paid Parking
1140 
Valet Parking
 
344

Length

Max length16
Median length13
Mean length12.034
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFree Parking
2nd rowPaid Parking
3rd rowFree Parking
4th rowFree Parking
5th rowNo Parking Space

Common Values

ValueCountFrequency (%)
No Parking Space 3861
38.6%
Free Parking 2724
27.2%
<NA> 1931
19.3%
Paid Parking 1140
 
11.4%
Valet Parking 344
 
3.4%

Length

2023-12-10T22:04:18.197375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:04:18.308735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
parking 8069
36.8%
no 3861
17.6%
space 3861
17.6%
free 2724
 
12.4%
na 1931
 
8.8%
paid 1140
 
5.2%
valet 344
 
1.6%

식당영업시간값
Text

MISSING 

Distinct1871
Distinct (%)22.1%
Missing1538
Missing (%)15.4%
Memory size156.2 KiB
2023-12-10T22:04:18.522311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length13
Mean length19.221461
Min length8

Characters and Unicode

Total characters162652
Distinct characters37
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

Unique1420 ?
Unique (%)16.8%

Sample

1st row11:20 - 22:00
2nd row11:00 - 22:00
3rd row11:00 - 22:00
4th row11:30 - 22:00
5th row09:30 - 20:00
ValueCountFrequency (%)
10206
30.0%
22:00 2462
 
7.2%
11:00 2454
 
7.2%
11:30 1619
 
4.8%
21:00 1419
 
4.2%
10:00 1120
 
3.3%
12:00 1058
 
3.1%
23:00 1010
 
3.0%
24:00 935
 
2.8%
mon-fri 829
 
2.4%
Other values (132) 10852
32.0%
2023-12-10T22:04:18.872463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42373
26.1%
25612
15.7%
: 23750
14.6%
1 16088
 
9.9%
- 12595
 
7.7%
2 12445
 
7.7%
3 5797
 
3.6%
S 2710
 
1.7%
n 2550
 
1.6%
, 1755
 
1.1%
Other values (27) 16977
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81666
50.2%
Space Separator 25612
 
15.7%
Other Punctuation 25506
 
15.7%
Dash Punctuation 12595
 
7.7%
Lowercase Letter 11542
 
7.1%
Uppercase Letter 5727
 
3.5%
Math Symbol 2
 
< 0.1%
Other Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 2550
22.1%
u 1709
14.8%
a 1458
12.6%
t 1458
12.6%
o 1298
11.2%
i 1210
10.5%
r 1193
10.3%
h 301
 
2.6%
e 243
 
2.1%
d 53
 
0.5%
Other values (4) 69
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 42373
51.9%
1 16088
 
19.7%
2 12445
 
15.2%
3 5797
 
7.1%
4 1268
 
1.6%
8 935
 
1.1%
9 927
 
1.1%
7 882
 
1.1%
6 503
 
0.6%
5 448
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
S 2710
47.3%
M 1298
22.7%
F 1209
21.1%
T 457
 
8.0%
W 53
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 23750
93.1%
, 1755
 
6.9%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
25612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12595
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Letter
ValueCountFrequency (%)
토 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 145382
89.4%
Latin 17269
 
10.6%
Hangul 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 2710
15.7%
n 2550
14.8%
u 1709
9.9%
a 1458
8.4%
t 1458
8.4%
M 1298
7.5%
o 1298
7.5%
i 1210
7.0%
F 1209
7.0%
r 1193
6.9%
Other values (9) 1176
6.8%
Common
ValueCountFrequency (%)
0 42373
29.1%
25612
17.6%
: 23750
16.3%
1 16088
 
11.1%
- 12595
 
8.7%
2 12445
 
8.6%
3 5797
 
4.0%
, 1755
 
1.2%
4 1268
 
0.9%
8 935
 
0.6%
Other values (7) 2764
 
1.9%
Hangul
ValueCountFrequency (%)
토 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 162651
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42373
26.1%
25612
15.7%
: 23750
14.6%
1 16088
 
9.9%
- 12595
 
7.7%
2 12445
 
7.7%
3 5797
 
3.6%
S 2710
 
1.7%
n 2550
 
1.6%
, 1755
 
1.1%
Other values (26) 16976
10.4%
Hangul
ValueCountFrequency (%)
토 1
100.0%

휴식시간내용
Text

MISSING 

Distinct173
Distinct (%)13.1%
Missing8684
Missing (%)86.8%
Memory size156.2 KiB
2023-12-10T22:04:19.020883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length13
Mean length16.493921
Min length11

Characters and Unicode

Total characters21706
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)8.4%

Sample

1st row15:30 - 16:30
2nd rowMon-Fri: 15:00 - 17:00
3rd rowMon-Sat: 15:00 - 17:00
4th row14:00 - 17:00
5th rowMon-Fri: 15:00 - 17:30
ValueCountFrequency (%)
1414
30.8%
15:00 837
18.2%
17:00 761
16.6%
17:30 248
 
5.4%
mon-fri 245
 
5.3%
14:30 188
 
4.1%
18:00 175
 
3.8%
16:00 143
 
3.1%
15:30 138
 
3.0%
16:30 115
 
2.5%
Other values (45) 327
 
7.1%
2023-12-10T22:04:19.267892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4914
22.6%
3275
15.1%
: 3181
14.7%
1 2825
13.0%
- 1755
 
8.1%
7 1013
 
4.7%
5 983
 
4.5%
3 752
 
3.5%
n 327
 
1.5%
4 299
 
1.4%
Other values (21) 2382
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11256
51.9%
Space Separator 3275
 
15.1%
Other Punctuation 3271
 
15.1%
Dash Punctuation 1755
 
8.1%
Lowercase Letter 1432
 
6.6%
Uppercase Letter 716
 
3.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4914
43.7%
1 2825
25.1%
7 1013
 
9.0%
5 983
 
8.7%
3 752
 
6.7%
4 299
 
2.7%
6 263
 
2.3%
8 180
 
1.6%
2 21
 
0.2%
9 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
n 327
22.8%
r 271
18.9%
i 271
18.9%
o 255
17.8%
u 96
 
6.7%
t 93
 
6.5%
a 93
 
6.5%
e 22
 
1.5%
h 3
 
0.2%
d 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
F 271
37.8%
M 255
35.6%
S 165
23.0%
T 24
 
3.4%
W 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 3181
97.2%
, 80
 
2.4%
/ 10
 
0.3%
Space Separator
ValueCountFrequency (%)
3275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1755
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19558
90.1%
Latin 2148
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4914
25.1%
3275
16.7%
: 3181
16.3%
1 2825
14.4%
- 1755
 
9.0%
7 1013
 
5.2%
5 983
 
5.0%
3 752
 
3.8%
4 299
 
1.5%
6 263
 
1.3%
Other values (6) 298
 
1.5%
Latin
ValueCountFrequency (%)
n 327
15.2%
r 271
12.6%
i 271
12.6%
F 271
12.6%
o 255
11.9%
M 255
11.9%
S 165
7.7%
u 96
 
4.5%
t 93
 
4.3%
a 93
 
4.3%
Other values (5) 51
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4914
22.6%
3275
15.1%
: 3181
14.7%
1 2825
13.0%
- 1755
 
8.1%
7 1013
 
4.7%
5 983
 
4.5%
3 752
 
3.5%
n 327
 
1.5%
4 299
 
1.4%
Other values (21) 2382
11.0%

최종주문가능시간값
Text

MISSING 

Distinct184
Distinct (%)11.2%
Missing8363
Missing (%)83.6%
Memory size156.2 KiB
2023-12-10T22:04:19.441095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length5
Mean length6.5503971
Min length5

Characters and Unicode

Total characters10723
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)7.2%

Sample

1st row21:30
2nd row21:15
3rd row22:00
4th row21:00
5th row19:30
ValueCountFrequency (%)
21:00 410
20.8%
21:30 222
 
11.3%
20:30 221
 
11.2%
20:00 133
 
6.7%
22:00 115
 
5.8%
23:00 60
 
3.0%
22:30 56
 
2.8%
19:30 52
 
2.6%
mon-fri 44
 
2.2%
01:00 41
 
2.1%
Other values (99) 619
31.4%
2023-12-10T22:04:19.766193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3309
30.9%
: 1965
18.3%
2 1753
16.3%
1 1041
 
9.7%
3 762
 
7.1%
338
 
3.2%
, 153
 
1.4%
4 134
 
1.2%
S 132
 
1.2%
n 131
 
1.2%
Other values (21) 1005
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7254
67.6%
Other Punctuation 2123
 
19.8%
Lowercase Letter 578
 
5.4%
Space Separator 338
 
3.2%
Uppercase Letter 289
 
2.7%
Dash Punctuation 130
 
1.2%
Math Symbol 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3309
45.6%
2 1753
24.2%
1 1041
 
14.4%
3 762
 
10.5%
4 134
 
1.8%
5 101
 
1.4%
9 97
 
1.3%
8 30
 
0.4%
7 21
 
0.3%
6 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
n 131
22.7%
u 85
14.7%
a 70
12.1%
t 70
12.1%
o 69
11.9%
r 62
10.7%
i 62
10.7%
h 17
 
2.9%
e 9
 
1.6%
d 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
S 132
45.7%
M 69
23.9%
F 62
21.5%
T 23
 
8.0%
W 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 1965
92.6%
, 153
 
7.2%
/ 5
 
0.2%
Space Separator
ValueCountFrequency (%)
338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Math Symbol
ValueCountFrequency (%)
+ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9856
91.9%
Latin 867
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3309
33.6%
: 1965
19.9%
2 1753
17.8%
1 1041
 
10.6%
3 762
 
7.7%
338
 
3.4%
, 153
 
1.6%
4 134
 
1.4%
- 130
 
1.3%
5 101
 
1.0%
Other values (6) 170
 
1.7%
Latin
ValueCountFrequency (%)
S 132
15.2%
n 131
15.1%
u 85
9.8%
a 70
8.1%
t 70
8.1%
M 69
8.0%
o 69
8.0%
F 62
7.2%
r 62
7.2%
i 62
7.2%
Other values (5) 55
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10723
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3309
30.9%
: 1965
18.3%
2 1753
16.3%
1 1041
 
9.7%
3 762
 
7.1%
338
 
3.2%
, 153
 
1.4%
4 134
 
1.2%
S 132
 
1.2%
n 131
 
1.2%
Other values (21) 1005
 
9.4%

식당휴일내용
Text

MISSING 

Distinct133
Distinct (%)4.5%
Missing7058
Missing (%)70.6%
Memory size156.2 KiB
2023-12-10T22:04:19.904172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length3
Mean length4.5666213
Min length3

Characters and Unicode

Total characters13435
Distinct characters43
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

Unique64 ?
Unique (%)2.2%

Sample

1st rowWed
2nd rowMon
3rd rowWed
4th rowSun
5th rowTue
ValueCountFrequency (%)
sun 1650
43.1%
mon 884
23.1%
tue 352
 
9.2%
sat 171
 
4.5%
wed 164
 
4.3%
1st 106
 
2.8%
3rd 94
 
2.5%
4th 85
 
2.2%
2nd 82
 
2.1%
2nd/4th 47
 
1.2%
Other values (28) 197
 
5.1%
2023-12-10T22:04:20.159751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 2672
19.9%
u 2048
15.2%
S 1825
13.6%
o 911
 
6.8%
892
 
6.6%
M 887
 
6.6%
e 547
 
4.1%
t 514
 
3.8%
, 506
 
3.8%
d 448
 
3.3%
Other values (33) 2185
16.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8016
59.7%
Uppercase Letter 3344
24.9%
Space Separator 892
 
6.6%
Other Punctuation 612
 
4.6%
Decimal Number 566
 
4.2%
Other Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 2672
33.3%
u 2048
25.5%
o 911
 
11.4%
e 547
 
6.8%
t 514
 
6.4%
d 448
 
5.6%
a 220
 
2.7%
h 202
 
2.5%
s 192
 
2.4%
r 174
 
2.2%
Other values (9) 88
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
S 1825
54.6%
M 887
26.5%
T 396
 
11.8%
W 164
 
4.9%
L 30
 
0.9%
E 14
 
0.4%
H 12
 
0.4%
F 10
 
0.3%
O 5
 
0.1%
N 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 151
26.7%
3 138
24.4%
4 135
23.9%
2 132
23.3%
5 9
 
1.6%
6 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 506
82.7%
/ 106
 
17.3%
Other Letter
ValueCountFrequency (%)
일 1
50.0%
월 1
50.0%
Space Separator
ValueCountFrequency (%)
892
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11360
84.6%
Common 2073
 
15.4%
Hangul 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2672
23.5%
u 2048
18.0%
S 1825
16.1%
o 911
 
8.0%
M 887
 
7.8%
e 547
 
4.8%
t 514
 
4.5%
d 448
 
3.9%
T 396
 
3.5%
a 220
 
1.9%
Other values (19) 892
 
7.9%
Common
ValueCountFrequency (%)
892
43.0%
, 506
24.4%
1 151
 
7.3%
3 138
 
6.7%
4 135
 
6.5%
2 132
 
6.4%
/ 106
 
5.1%
5 9
 
0.4%
( 1
 
< 0.1%
) 1
 
< 0.1%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
일 1
50.0%
월 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13433
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 2672
19.9%
u 2048
15.2%
S 1825
13.6%
o 911
 
6.8%
892
 
6.6%
M 887
 
6.6%
e 547
 
4.1%
t 514
 
3.8%
, 506
 
3.8%
d 448
 
3.3%
Other values (31) 2183
16.3%
Hangul
ValueCountFrequency (%)
일 1
50.0%
월 1
50.0%

메인메뉴내용
Text

MISSING 

Distinct285
Distinct (%)8.1%
Missing6470
Missing (%)64.7%
Memory size156.2 KiB
2023-12-10T22:04:20.456602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length17.105949
Min length3

Characters and Unicode

Total characters60384
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)1.9%

Sample

1st rowBakery
2nd rowBrunch Restaurant
3rd rowFrench Food
4th rowFlower Cafe
5th rowCafe
ValueCountFrequency (%)
restaurant 1309
 
14.4%
cafe 659
 
7.3%
515
 
5.7%
food 474
 
5.2%
sushi 229
 
2.5%
shop 215
 
2.4%
chinese 176
 
1.9%
pork 173
 
1.9%
store 161
 
1.8%
italian 155
 
1.7%
Other values (308) 5001
55.2%
2023-12-10T22:04:20.960153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 6994
 
11.6%
e 6269
 
10.4%
5537
 
9.2%
t 4269
 
7.1%
n 3420
 
5.7%
r 3193
 
5.3%
o 3090
 
5.1%
s 2907
 
4.8%
u 2727
 
4.5%
i 2181
 
3.6%
Other values (45) 19797
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 45574
75.5%
Uppercase Letter 8654
 
14.3%
Space Separator 5537
 
9.2%
Other Punctuation 569
 
0.9%
Dash Punctuation 48
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 6994
15.3%
e 6269
13.8%
t 4269
9.4%
n 3420
 
7.5%
r 3193
 
7.0%
o 3090
 
6.8%
s 2907
 
6.4%
u 2727
 
6.0%
i 2181
 
4.8%
l 1743
 
3.8%
Other values (16) 8781
19.3%
Uppercase Letter
ValueCountFrequency (%)
R 1663
19.2%
S 1441
16.7%
C 1198
13.8%
B 712
8.2%
F 671
7.8%
P 387
 
4.5%
M 376
 
4.3%
I 258
 
3.0%
T 241
 
2.8%
D 231
 
2.7%
Other values (13) 1476
17.1%
Other Punctuation
ValueCountFrequency (%)
/ 536
94.2%
' 33
 
5.8%
Space Separator
ValueCountFrequency (%)
5537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 54228
89.8%
Common 6156
 
10.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 6994
12.9%
e 6269
 
11.6%
t 4269
 
7.9%
n 3420
 
6.3%
r 3193
 
5.9%
o 3090
 
5.7%
s 2907
 
5.4%
u 2727
 
5.0%
i 2181
 
4.0%
l 1743
 
3.2%
Other values (39) 17435
32.2%
Common
ValueCountFrequency (%)
5537
89.9%
/ 536
 
8.7%
- 48
 
0.8%
' 33
 
0.5%
( 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 6994
 
11.6%
e 6269
 
10.4%
5537
 
9.2%
t 4269
 
7.1%
n 3420
 
5.7%
r 3193
 
5.3%
o 3090
 
5.1%
s 2907
 
4.8%
u 2727
 
4.5%
i 2181
 
3.6%
Other values (45) 19797
32.8%

식당평점값
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.7%
Missing6395
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean3.774258
Minimum2.3
Maximum4.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-10T22:04:21.079484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile3.1
Q13.5
median3.8
Q34
95-th percentile4.3
Maximum4.8
Range2.5
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.37284011
Coefficient of variation (CV)0.09878501
Kurtosis-0.17138496
Mean3.774258
Median Absolute Deviation (MAD)0.3
Skewness-0.25467863
Sum13606.2
Variance0.13900975
MonotonicityNot monotonic
2023-12-10T22:04:21.181283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3.9 517
 
5.2%
4.0 343
 
3.4%
3.7 332
 
3.3%
3.8 294
 
2.9%
4.1 284
 
2.8%
3.4 278
 
2.8%
3.6 265
 
2.6%
3.5 265
 
2.6%
4.3 195
 
1.9%
4.2 183
 
1.8%
Other values (14) 649
 
6.5%
(Missing) 6395
63.9%
ValueCountFrequency (%)
2.3 1
 
< 0.1%
2.6 3
 
< 0.1%
2.7 13
 
0.1%
2.8 19
 
0.2%
2.9 31
 
0.3%
3.0 49
 
0.5%
3.1 74
 
0.7%
3.2 110
 
1.1%
3.3 174
1.7%
3.4 278
2.8%
ValueCountFrequency (%)
4.8 3
 
< 0.1%
4.7 6
 
0.1%
4.6 32
 
0.3%
4.5 38
 
0.4%
4.4 96
 
1.0%
4.3 195
 
1.9%
4.2 183
 
1.8%
4.1 284
2.8%
4.0 343
3.4%
3.9 517
5.2%

식당리뷰수
Real number (ℝ)

ZEROS 

Distinct197
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.6133
Minimum0
Maximum400
Zeros258
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-10T22:04:21.298397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q313
95-th percentile50
Maximum400
Range400
Interquartile range (IQR)10

Descriptive statistics

Standard deviation25.172492
Coefficient of variation (CV)1.8491102
Kurtosis40.429918
Mean13.6133
Median Absolute Deviation (MAD)4
Skewness5.3658686
Sum136133
Variance633.65433
MonotonicityNot monotonic
2023-12-10T22:04:21.416230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1040
 
10.4%
3 987
 
9.9%
4 912
 
9.1%
5 794
 
7.9%
1 747
 
7.5%
6 588
 
5.9%
7 496
 
5.0%
8 389
 
3.9%
9 374
 
3.7%
10 321
 
3.2%
Other values (187) 3352
33.5%
ValueCountFrequency (%)
0 258
 
2.6%
1 747
7.5%
2 1040
10.4%
3 987
9.9%
4 912
9.1%
5 794
7.9%
6 588
5.9%
7 496
5.0%
8 389
 
3.9%
9 374
 
3.7%
ValueCountFrequency (%)
400 1
< 0.1%
342 1
< 0.1%
333 1
< 0.1%
329 1
< 0.1%
298 1
< 0.1%
276 1
< 0.1%
274 1
< 0.1%
260 2
< 0.1%
255 1
< 0.1%
254 1
< 0.1%

식당조회수
Real number (ℝ)

Distinct7173
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11616.969
Minimum3
Maximum560137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-10T22:04:21.532311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1226
Q12617.5
median4433.5
Q39724.5
95-th percentile44489.55
Maximum560137
Range560134
Interquartile range (IQR)7107

Descriptive statistics

Standard deviation24941.202
Coefficient of variation (CV)2.146963
Kurtosis78.142048
Mean11616.969
Median Absolute Deviation (MAD)2399
Skewness7.1100996
Sum1.1616969 × 108
Variance6.2206355 × 108
MonotonicityNot monotonic
2023-12-10T22:04:21.644485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1930 7
 
0.1%
3237 6
 
0.1%
2286 6
 
0.1%
1690 6
 
0.1%
1717 6
 
0.1%
2653 6
 
0.1%
3345 6
 
0.1%
1970 6
 
0.1%
2567 6
 
0.1%
1839 6
 
0.1%
Other values (7163) 9939
99.4%
ValueCountFrequency (%)
3 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
25 1
< 0.1%
27 1
< 0.1%
31 1
< 0.1%
33 1
< 0.1%
37 1
< 0.1%
64 1
< 0.1%
ValueCountFrequency (%)
560137 1
< 0.1%
430310 1
< 0.1%
385550 1
< 0.1%
371655 1
< 0.1%
364717 1
< 0.1%
331888 1
< 0.1%
311859 1
< 0.1%
310209 1
< 0.1%
299984 1
< 0.1%
297091 1
< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct1386
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.9282
Minimum0
Maximum10625
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-10T22:04:21.775991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q134
median64
Q3196
95-th percentile1192
Maximum10625
Range10625
Interquartile range (IQR)162

Descriptive statistics

Standard deviation646.42859
Coefficient of variation (CV)2.4037218
Kurtosis49.052266
Mean268.9282
Median Absolute Deviation (MAD)38
Skewness5.9556989
Sum2689282
Variance417869.92
MonotonicityNot monotonic
2023-12-10T22:04:21.907720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 249
 
2.5%
26 224
 
2.2%
24 220
 
2.2%
23 214
 
2.1%
25 205
 
2.1%
27 197
 
2.0%
29 185
 
1.8%
30 177
 
1.8%
31 165
 
1.7%
28 149
 
1.5%
Other values (1376) 8015
80.2%
ValueCountFrequency (%)
0 8
0.1%
1 2
 
< 0.1%
2 4
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
7 5
0.1%
8 5
0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
10625 1
< 0.1%
8882 1
< 0.1%
8838 1
< 0.1%
8461 1
< 0.1%
8098 1
< 0.1%
7654 1
< 0.1%
7494 1
< 0.1%
7358 1
< 0.1%
7357 1
< 0.1%
7341 1
< 0.1%

대상기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 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

2023-12-10T22:04:22.079194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:04:22.159529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

Sample

기준년월식당ID식당명지점명식당우편번호대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
123482021086RR2f98DPHHana DonkatsuOncheon Branch47706051-553-5055435-28, Oncheon-dong, Dongnae-gu, Busan435-28, Oncheon-dong, Dongnae-gu, Busan35.215219129.07732210,000 ~ 20,000 WonJapaneseJapanese CutletFree Parking11:20 - 22:00<NA>21:30<NA><NA><NA>269841217202108
24317202108wiHy8aWTizQoo QooPyeongchon Beomgye Branch14072031-383-62741045-6, Hogye-dong, Dongan-gu, Anyang-si, Gyeonggi-do1045-6, Hogye-dong, Dongan-gu, Anyang-si, Gyeonggi-do37.390602126.95279710,000 ~ 20,000 WonBuffetBuffetPaid Parking11:00 - 22:00<NA><NA><NA><NA><NA>4854733202108
19897202108hsVjO4zicOzRNam Chuncheon Dakgalbi<NA>12561031-771-2103441-11, Gongheung-ri, Yangpyeong-eup, Yangpyeong-gun, Gyeonggi-do441-11, Gongheung-ri, Yangpyeong-eup, Yangpyeong-gun, Gyeonggi-do37.490064127.500591Less than 10,000 WonKoreanPoultryFree Parking11:00 - 22:00<NA><NA>Wed<NA><NA>2334449202108
17480202108Voapl9U2IvLvBe Pork Bistro<NA>63595064-732-1037551-1, Seogwi-dong, Seogwipo-si, Jeju-do551-1, Seogwi-dong, Seogwipo-si, Jeju-do33.245084126.56485320,000 ~ 30,000 WonWesternItalianFree Parking11:30 - 22:0015:30 - 16:30<NA>Mon<NA><NA>2397464202108
5618202108UTcq3Hi0I3F1Patisserie Sona<NA>802002-2606-4454948-26, Sinjeong-dong, Yangcheon-gu, Seoul948-26, Sinjeong-dong, Yangcheon-gu, Seoul37.524477126.855489Less than 10,000 WonCafeBakeryNo Parking Space09:30 - 20:00<NA><NA>WedBakery3.82423364664202108
92112021086j2waIl1_hUgly StoveGangnam Station Branch612902-558-8459817-36, Yeoksam-dong, Gangnam-gu, Seoul817-36, Yeoksam-dong, Gangnam-gu, Seoul37.500775127.02826310,000 ~ 20,000 WonWesternBrunch, Burger, SandwichNo Parking Space10:30 - 22:00<NA>21:15<NA>Brunch Restaurant3.46035028828202108
10645202108XHX2SBIDhgeuBbari Gaok<NA>313302-6083-1626166-26, Ikseon-dong, Jongno-gu, Seoul166-26, Ikseon-dong, Jongno-gu, Seoul37.573326126.99025410,000 ~ 20,000 WonWesternFrenchNo Parking Space11:30 - 22:00Mon-Fri: 15:00 - 17:00<NA><NA>French Food3.24614071356202108
8991202108vI-_CIwFv_oqGgachi HwabangGangnam Branch612302-558-5533811-13, Yeoksam-dong, Gangnam-gu, Seoul811-13, Yeoksam-dong, Gangnam-gu, Seoul37.503263127.026734Less than 10,000 WonCafeCafe, DessertNo Parking Space11:30 - 23:00<NA><NA><NA>Flower Cafe3.59241781202108
97052021083yo6vOI_OSU3MUHLY<NA>613102-538-0803641-14, Yeoksam-dong, Gangnam-gu, Seoul641-14, Yeoksam-dong, Gangnam-gu, Seoul37.502067127.035676Less than 10,000 WonCafeCafe, Dessert<NA><NA><NA><NA><NA>Cafe3.4105891124202108
16738202108y6ooDXv5RkWaHongrard2nd Branch16258070-4142-3736120-1, Sinpung-dong, Paldal-gu, Suwon-si, Gyeonggi-do120-1, Sinpung-dong, Paldal-gu, Suwon-si, Gyeonggi-do37.284616127.009609Less than 10,000 WonCafeCafe, DessertNo Parking Space12:30 - 23:00<NA>22:00<NA><NA><NA>5214870202108
기준년월식당ID식당명지점명식당우편번호대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
20970202108WcHMkr8zfR1bMo Mo Ttteokbokki<NA>879302-885-24971636-16, Bongcheon-dong, Gwanak-gu, Seoul1636-16, Bongcheon-dong, Gwanak-gu, Seoul37.474614126.965533Less than 10,000 WonKoreanOther KoreanNo Parking Space11:30 - 22:00<NA>21:30<NA><NA><NA>3241944202108
13449202108xEGF_lhy1PSeonneung Seolleongtang<NA>614802-552-3224697-54, Yeoksam-dong, Gangnam-gu, Seoul697-54, Yeoksam-dong, Gangnam-gu, Seoul37.505103127.046292Less than 10,000 WonKoreanSoupNo Parking SpaceMon-Sat: 00:00 - 24:00, Sun: 00:00 - 21:30<NA><NA><NA><NA><NA>97152136202108
20295202108YrjdSHE5ipCXKostlich Platz<NA>680202-574-7594242-5, Sinwon-dong, Seocho-gu, Seoul242-5, Sinwon-dong, Seocho-gu, Seoul37.446975127.057809Less than 10,000 WonCafeCafe, DessertFree ParkingMon-Fri: 10:00 - 21:00, Sat: 12:00 - 21:00<NA><NA>Sun<NA><NA>71317547202108
30727202108hPsFtxQBUD4FJeongseon Songeo Hwoetjip<NA>26156033-591-2625367-22, Gohan-ri, Gohan-eup, Jeongseon-gun, Gangwon-do367-22, Gohan-ri, Gohan-eup, Jeongseon-gun, Gangwon-do37.196717128.87246410,000 ~ 20,000 WonKoreanSeafoodFree Parking10:00 - 22:00<NA><NA><NA><NA><NA>2504822202108
28463202108T_AK-Bvcdg3rRato Coffee Jeju<NA>63207010-4767-68661769-15, Ido 2-dong, Jeju-si, Jeju-do1769-15, Ido 2-dong, Jeju-si, Jeju-do33.498749126.528121Less than 10,000 WonCafeCafe, Dessert<NA><NA><NA><NA><NA><NA><NA>4242925202108
27513202108zy5MiDC5BbV0Roissant<NA>22827070-4148-2233556-34, Gajwa-dong, Seo-gu, Incheon556-34, Gajwa-dong, Seo-gu, Incheon37.486472126.677981Less than 10,000 WonCafeBakery<NA><NA><NA><NA><NA><NA><NA>2170927202108
321920210878XDv53pERPodobat Halmeoni Son Kalguksu<NA>15638032-887-30801854-113, Daebubuk-dong, Danwon-gu, Ansan-si, Gyeonggi-do1854-113, Daebubuk-dong, Danwon-gu, Ansan-si, Gyeonggi-do37.280599126.570135Less than 10,000 WonKoreanNoodleFree Parking09:00 - 20:30<NA><NA>WedKalguksu Restaurant4.03237066346202108
11654202108LE9v53l5ciJjim And Jok<NA>305602-745-470082-1, Gye-dong, Jongno-gu, Seoul82-1, Gye-dong, Jongno-gu, Seoul37.580173126.98665510,000 ~ 20,000 WonKoreanPoultryNo Parking Space11:30 - 21:30<NA>21:00<NA><NA><NA>915183547202108
12119202108g8wwuDVsi8Horang Caron<NA>12217010-8570-8555250-7, Pyeongnae-dong, Namyangju-si, Gyeonggi-do250-7, Pyeongnae-dong, Namyangju-si, Gyeonggi-do37.649044127.235413Less than 10,000 WonCafeCafe, DessertFree ParkingWed-Sat: 13:00 - 20:00, Sun: 12:00 - 18:00<NA><NA>Mon, Tue<NA><NA>1411069252202108
20737202108W6o0c1dPtKOdengba Yekki<NA>370702-6338-1655190-4, Yeonhui-dong, Seodaemun-gu, Seoul190-4, Yeonhui-dong, Seodaemun-gu, Seoul37.567169126.9286810,000 ~ 20,000 WonKoreanOther KoreanNo Parking Space18:00 - 01:00<NA><NA>Sun<NA><NA>0407545202108