Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells15902
Missing cells (%)7.6%
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=SET0400014

Alerts

기준년월 has constant value ""Constant
탑리스트ID has constant value ""Constant
탑리스트제목명 has constant value ""Constant
탑리스트설명내용 has constant value ""Constant
음식대분류명 has constant value ""Constant
대상기준년월 has constant value ""Constant
1인당가격만원단위구간값 is highly imbalanced (84.4%)Imbalance
지점명 has 8392 (83.9%) missing valuesMissing
대표전화번호 has 695 (7.0%) missing valuesMissing
식당평점값 has 6814 (68.1%) missing valuesMissing
탑리스트순위 has unique valuesUnique
식당ID has unique valuesUnique
식당리뷰수 has 549 (5.5%) zerosZeros

Reproduction

Analysis started2023-12-10 13:09:27.966334
Analysis finished2023-12-10 13:09:32.211334
Duration4.25 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

2023-12-10T22:09:32.323410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:32.481685image/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_CAFE_BAKERY_202108
10000 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTOP_CAFE_BAKERY_202108
2nd rowTOP_CAFE_BAKERY_202108
3rd rowTOP_CAFE_BAKERY_202108
4th rowTOP_CAFE_BAKERY_202108
5th rowTOP_CAFE_BAKERY_202108

Common Values

ValueCountFrequency (%)
TOP_CAFE_BAKERY_202108 10000
100.0%

Length

2023-12-10T22:09:32.660745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:32.809847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
top_cafe_bakery_202108 10000
100.0%

탑리스트제목명
Categorical

CONSTANT 

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

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
카페베이커리탑리스트 10000
100.0%

Length

2023-12-10T22:09:33.063034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:33.248049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카페베이커리탑리스트 10000
100.0%

탑리스트설명내용
Categorical

CONSTANT 

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

Length

Max length29
Median length29
Mean length29
Min length29

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트
2nd row카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트
3rd row카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트
4th row카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트
5th row카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트

Common Values

ValueCountFrequency (%)
카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트 10000
100.0%

Length

2023-12-10T22:09:33.472540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:33.679978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카페와 10000
14.3%
베이커리중 10000
14.3%
가장 10000
14.3%
인기있는 10000
14.3%
곳들을 10000
14.3%
모은 10000
14.3%
탑리스트 10000
14.3%

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
2023-12-10T22:09:33.944199image/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
2023-12-10T22:09:34.355754image/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
2023-12-10T22:09:34.858074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.5412
Min length10

Characters and Unicode

Total characters115412
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 row5jpxtJNIYu
2nd row4PsHFZvPM1
3rd rowapRF6cwY8B
4th rowAdWddi4FyZ
5th rowutgqd8rlhjPr
ValueCountFrequency (%)
5jpxtjniyu 1
 
< 0.1%
ib_xsku5ev 1
 
< 0.1%
kkointmz-e 1
 
< 0.1%
hkpamsa11n 1
 
< 0.1%
gutfcsatma 1
 
< 0.1%
edqrmkdxa9 1
 
< 0.1%
cnfpvmd2n3 1
 
< 0.1%
prm_hk-nkc 1
 
< 0.1%
pvsph3lqx3 1
 
< 0.1%
oppmdhvfzm 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-10T22:09:35.631484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 1869
 
1.6%
v 1867
 
1.6%
0 1866
 
1.6%
o 1864
 
1.6%
z 1863
 
1.6%
w 1861
 
1.6%
8 1858
 
1.6%
4 1854
 
1.6%
3 1847
 
1.6%
A 1846
 
1.6%
Other values (54) 96817
83.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 46863
40.6%
Lowercase Letter 46650
40.4%
Decimal Number 18265
 
15.8%
Dash Punctuation 1837
 
1.6%
Connector Punctuation 1797
 
1.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 1869
 
4.0%
A 1846
 
3.9%
B 1838
 
3.9%
V 1837
 
3.9%
I 1832
 
3.9%
U 1831
 
3.9%
X 1827
 
3.9%
N 1827
 
3.9%
S 1824
 
3.9%
E 1820
 
3.9%
Other values (16) 28512
60.8%
Lowercase Letter
ValueCountFrequency (%)
v 1867
 
4.0%
o 1864
 
4.0%
z 1863
 
4.0%
w 1861
 
4.0%
j 1846
 
4.0%
i 1841
 
3.9%
q 1835
 
3.9%
g 1815
 
3.9%
a 1807
 
3.9%
c 1801
 
3.9%
Other values (16) 28250
60.6%
Decimal Number
ValueCountFrequency (%)
0 1866
10.2%
8 1858
10.2%
4 1854
10.2%
3 1847
10.1%
9 1831
10.0%
6 1815
9.9%
7 1813
9.9%
5 1809
9.9%
2 1793
9.8%
1 1779
9.7%
Dash Punctuation
ValueCountFrequency (%)
- 1837
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1797
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 93513
81.0%
Common 21899
 
19.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 1869
 
2.0%
v 1867
 
2.0%
o 1864
 
2.0%
z 1863
 
2.0%
w 1861
 
2.0%
A 1846
 
2.0%
j 1846
 
2.0%
i 1841
 
2.0%
B 1838
 
2.0%
V 1837
 
2.0%
Other values (42) 74981
80.2%
Common
ValueCountFrequency (%)
0 1866
8.5%
8 1858
8.5%
4 1854
8.5%
3 1847
8.4%
- 1837
8.4%
9 1831
8.4%
6 1815
8.3%
7 1813
8.3%
5 1809
8.3%
_ 1797
8.2%
Other values (2) 3572
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 1869
 
1.6%
v 1867
 
1.6%
0 1866
 
1.6%
o 1864
 
1.6%
z 1863
 
1.6%
w 1861
 
1.6%
8 1858
 
1.6%
4 1854
 
1.6%
3 1847
 
1.6%
A 1846
 
1.6%
Other values (54) 96817
83.9%

식당명
Text

Distinct8890
Distinct (%)88.9%
Missing1
Missing (%)< 0.1%
Memory size78.3 KiB
2023-12-10T22:09:36.314046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length4.9473947
Min length1

Characters and Unicode

Total characters49469
Distinct characters1116
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8355 ?
Unique (%)83.6%

Sample

1st row커피가게동경
2nd row몽카페그레고리
3rd row리틀앤머치 (휴업중)
4th row나무사이로
5th row카페413프로젝트
ValueCountFrequency (%)
카페 184
 
1.7%
커피 51
 
0.5%
coffee 38
 
0.3%
설빙 37
 
0.3%
cafe 37
 
0.3%
휴업중 32
 
0.3%
아티제 24
 
0.2%
폴바셋 22
 
0.2%
스타벅스 21
 
0.2%
빌리엔젤 14
 
0.1%
Other values (9198) 10427
95.8%
2023-12-10T22:09:36.933706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1761
 
3.6%
카 1648
 
3.3%
이 1601
 
3.2%
페 1515
 
3.1%
커 1496
 
3.0%
피 1422
 
2.9%
리 1259
 
2.5%
904
 
1.8%
라 707
 
1.4%
드 682
 
1.4%
Other values (1106) 36474
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44966
90.9%
Lowercase Letter 1367
 
2.8%
Decimal Number 1074
 
2.2%
Uppercase Letter 1050
 
2.1%
Space Separator 904
 
1.8%
Open Punctuation 37
 
0.1%
Close Punctuation 37
 
0.1%
Other Punctuation 25
 
0.1%
Dash Punctuation 7
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1761
 
3.9%
카 1648
 
3.7%
이 1601
 
3.6%
페 1515
 
3.4%
커 1496
 
3.3%
피 1422
 
3.2%
리 1259
 
2.8%
라 707
 
1.6%
드 682
 
1.5%
트 659
 
1.5%
Other values (1037) 32216
71.6%
Uppercase Letter
ValueCountFrequency (%)
C 126
 
12.0%
E 84
 
8.0%
A 77
 
7.3%
O 76
 
7.2%
F 65
 
6.2%
T 63
 
6.0%
S 60
 
5.7%
B 52
 
5.0%
N 52
 
5.0%
L 47
 
4.5%
Other values (16) 348
33.1%
Lowercase Letter
ValueCountFrequency (%)
e 257
18.8%
o 143
10.5%
f 131
9.6%
a 125
9.1%
t 92
 
6.7%
r 80
 
5.9%
i 72
 
5.3%
n 63
 
4.6%
s 54
 
4.0%
l 50
 
3.7%
Other values (14) 300
21.9%
Decimal Number
ValueCountFrequency (%)
1 231
21.5%
9 129
12.0%
2 117
10.9%
3 115
10.7%
0 108
10.1%
5 93
8.7%
7 83
 
7.7%
8 72
 
6.7%
4 70
 
6.5%
6 56
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 13
52.0%
& 8
32.0%
, 4
 
16.0%
Space Separator
ValueCountFrequency (%)
904
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44966
90.9%
Latin 2417
 
4.9%
Common 2086
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1761
 
3.9%
카 1648
 
3.7%
이 1601
 
3.6%
페 1515
 
3.4%
커 1496
 
3.3%
피 1422
 
3.2%
리 1259
 
2.8%
라 707
 
1.6%
드 682
 
1.5%
트 659
 
1.5%
Other values (1037) 32216
71.6%
Latin
ValueCountFrequency (%)
e 257
 
10.6%
o 143
 
5.9%
f 131
 
5.4%
C 126
 
5.2%
a 125
 
5.2%
t 92
 
3.8%
E 84
 
3.5%
r 80
 
3.3%
A 77
 
3.2%
O 76
 
3.1%
Other values (40) 1226
50.7%
Common
ValueCountFrequency (%)
904
43.3%
1 231
 
11.1%
9 129
 
6.2%
2 117
 
5.6%
3 115
 
5.5%
0 108
 
5.2%
5 93
 
4.5%
7 83
 
4.0%
8 72
 
3.5%
4 70
 
3.4%
Other values (9) 164
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44962
90.9%
ASCII 4502
 
9.1%
Compat Jamo 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1761
 
3.9%
카 1648
 
3.7%
이 1601
 
3.6%
페 1515
 
3.4%
커 1496
 
3.3%
피 1422
 
3.2%
리 1259
 
2.8%
라 707
 
1.6%
드 682
 
1.5%
트 659
 
1.5%
Other values (1033) 32212
71.6%
ASCII
ValueCountFrequency (%)
904
20.1%
e 257
 
5.7%
1 231
 
5.1%
o 143
 
3.2%
f 131
 
2.9%
9 129
 
2.9%
C 126
 
2.8%
a 125
 
2.8%
2 117
 
2.6%
3 115
 
2.6%
Other values (58) 2224
49.4%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
25.0%
ㅁ 1
25.0%
ㅃ 1
25.0%
ㅊ 1
25.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

지점명
Text

MISSING 

Distinct831
Distinct (%)51.7%
Missing8392
Missing (%)83.9%
Memory size78.3 KiB
2023-12-10T22:09:37.426231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.9595771
Min length2

Characters and Unicode

Total characters7975
Distinct characters408
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique636 ?
Unique (%)39.6%

Sample

1st row광화문점
2nd row1호점
3rd row부암점
4th row광화문점
5th row본점
ValueCountFrequency (%)
본점 104
 
5.6%
현대백화점 65
 
3.5%
신세계백화점 44
 
2.4%
강남점 31
 
1.7%
롯데백화점 30
 
1.6%
홍대점 28
 
1.5%
2호점 28
 
1.5%
판교점 27
 
1.4%
1호점 22
 
1.2%
광화문점 21
 
1.1%
Other values (837) 1469
78.6%
2023-12-10T22:09:38.118740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1664
 
20.9%
대 271
 
3.4%
263
 
3.3%
화 190
 
2.4%
백 160
 
2.0%
본 151
 
1.9%
신 114
 
1.4%
호 112
 
1.4%
동 109
 
1.4%
현 106
 
1.3%
Other values (398) 4835
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7433
93.2%
Space Separator 263
 
3.3%
Uppercase Letter 161
 
2.0%
Decimal Number 106
 
1.3%
Lowercase Letter 5
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1664
 
22.4%
대 271
 
3.6%
화 190
 
2.6%
백 160
 
2.2%
본 151
 
2.0%
신 114
 
1.5%
호 112
 
1.5%
동 109
 
1.5%
현 106
 
1.4%
남 100
 
1.3%
Other values (358) 4456
59.9%
Uppercase Letter
ValueCountFrequency (%)
C 26
16.1%
F 22
13.7%
D 14
 
8.7%
I 12
 
7.5%
T 12
 
7.5%
K 10
 
6.2%
G 8
 
5.0%
A 8
 
5.0%
S 8
 
5.0%
W 6
 
3.7%
Other values (14) 35
21.7%
Decimal Number
ValueCountFrequency (%)
2 41
38.7%
1 35
33.0%
4 11
 
10.4%
3 10
 
9.4%
9 4
 
3.8%
8 3
 
2.8%
5 1
 
0.9%
0 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
l 1
20.0%
x 1
20.0%
h 1
20.0%
Space Separator
ValueCountFrequency (%)
263
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7433
93.2%
Common 376
 
4.7%
Latin 166
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1664
 
22.4%
대 271
 
3.6%
화 190
 
2.6%
백 160
 
2.2%
본 151
 
2.0%
신 114
 
1.5%
호 112
 
1.5%
동 109
 
1.5%
현 106
 
1.4%
남 100
 
1.3%
Other values (358) 4456
59.9%
Latin
ValueCountFrequency (%)
C 26
15.7%
F 22
13.3%
D 14
 
8.4%
I 12
 
7.2%
T 12
 
7.2%
K 10
 
6.0%
G 8
 
4.8%
A 8
 
4.8%
S 8
 
4.8%
W 6
 
3.6%
Other values (18) 40
24.1%
Common
ValueCountFrequency (%)
263
69.9%
2 41
 
10.9%
1 35
 
9.3%
4 11
 
2.9%
3 10
 
2.7%
9 4
 
1.1%
8 3
 
0.8%
( 3
 
0.8%
) 3
 
0.8%
- 1
 
0.3%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7433
93.2%
ASCII 542
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1664
 
22.4%
대 271
 
3.6%
화 190
 
2.6%
백 160
 
2.2%
본 151
 
2.0%
신 114
 
1.5%
호 112
 
1.5%
동 109
 
1.5%
현 106
 
1.4%
남 100
 
1.3%
Other values (358) 4456
59.9%
ASCII
ValueCountFrequency (%)
263
48.5%
2 41
 
7.6%
1 35
 
6.5%
C 26
 
4.8%
F 22
 
4.1%
D 14
 
2.6%
I 12
 
2.2%
T 12
 
2.2%
4 11
 
2.0%
3 10
 
1.8%
Other values (30) 96
 
17.7%

대표전화번호
Text

MISSING 

Distinct9294
Distinct (%)99.9%
Missing695
Missing (%)7.0%
Memory size78.3 KiB
2023-12-10T22:09:38.523229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length12.145836
Min length9

Characters and Unicode

Total characters113017
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

Unique9285 ?
Unique (%)99.8%

Sample

1st row070-4845-0619
2nd row02-322-9579
3rd row02-545-1023
4th row070-7590-0885
5th row070-7798-0544
ValueCountFrequency (%)
02-772-3011 3
 
< 0.1%
1588-8069 3
 
< 0.1%
070-8860-5287 2
 
< 0.1%
02-2639-1207 2
 
< 0.1%
1522-3232 2
 
< 0.1%
02-720-8409 2
 
< 0.1%
02-3449-5478 2
 
< 0.1%
033-648-2760 2
 
< 0.1%
031-779-3313 2
 
< 0.1%
02-921-8049 1
 
< 0.1%
Other values (9284) 9284
99.8%
2023-12-10T22:09:39.145115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19472
17.2%
- 18576
16.4%
2 11664
10.3%
1 9854
8.7%
3 9561
8.5%
7 9374
8.3%
5 7900
7.0%
4 7624
 
6.7%
8 6802
 
6.0%
6 6636
 
5.9%
Other values (2) 5554
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94438
83.6%
Dash Punctuation 18576
 
16.4%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19472
20.6%
2 11664
12.4%
1 9854
10.4%
3 9561
10.1%
7 9374
9.9%
5 7900
8.4%
4 7624
 
8.1%
8 6802
 
7.2%
6 6636
 
7.0%
9 5551
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 18576
100.0%
Other Punctuation
ValueCountFrequency (%)
? 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113017
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19472
17.2%
- 18576
16.4%
2 11664
10.3%
1 9854
8.7%
3 9561
8.5%
7 9374
8.3%
5 7900
7.0%
4 7624
 
6.7%
8 6802
 
6.0%
6 6636
 
5.9%
Other values (2) 5554
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113017
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19472
17.2%
- 18576
16.4%
2 11664
10.3%
1 9854
8.7%
3 9561
8.5%
7 9374
8.3%
5 7900
7.0%
4 7624
 
6.7%
8 6802
 
6.0%
6 6636
 
5.9%
Other values (2) 5554
 
4.9%

식당지번주소
Text

Distinct9285
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:09:39.675283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length18.0096
Min length11

Characters and Unicode

Total characters180096
Distinct characters324
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

Unique8917 ?
Unique (%)89.2%

Sample

1st row서울시 마포구 망원동 410-1
2nd row서울시 마포구 합정동 410-11
3rd row서울시 강남구 삼성동 10-8
4th row서울시 종로구 내자동 196
5th row서울시 강남구 역삼동 640-9
ValueCountFrequency (%)
서울시 5030
 
11.9%
경기도 1672
 
4.0%
마포구 835
 
2.0%
강남구 624
 
1.5%
중구 582
 
1.4%
제주 558
 
1.3%
종로구 509
 
1.2%
부산시 443
 
1.0%
인천시 397
 
0.9%
용산구 379
 
0.9%
Other values (9812) 31168
73.9%
2023-12-10T22:09:40.530046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32202
 
17.9%
동 10004
 
5.6%
시 9797
 
5.4%
1 8672
 
4.8%
구 8205
 
4.6%
- 8102
 
4.5%
서 6578
 
3.7%
2 5529
 
3.1%
울 5120
 
2.8%
3 4771
 
2.6%
Other values (314) 81116
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97991
54.4%
Decimal Number 41801
23.2%
Space Separator 32202
 
17.9%
Dash Punctuation 8102
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10004
 
10.2%
시 9797
 
10.0%
구 8205
 
8.4%
서 6578
 
6.7%
울 5120
 
5.2%
도 3287
 
3.4%
남 2158
 
2.2%
경 2094
 
2.1%
산 1894
 
1.9%
기 1845
 
1.9%
Other values (302) 47009
48.0%
Decimal Number
ValueCountFrequency (%)
1 8672
20.7%
2 5529
13.2%
3 4771
11.4%
4 4181
10.0%
5 3701
8.9%
6 3613
8.6%
7 3013
 
7.2%
8 2817
 
6.7%
9 2797
 
6.7%
0 2707
 
6.5%
Space Separator
ValueCountFrequency (%)
32202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97991
54.4%
Common 82105
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10004
 
10.2%
시 9797
 
10.0%
구 8205
 
8.4%
서 6578
 
6.7%
울 5120
 
5.2%
도 3287
 
3.4%
남 2158
 
2.2%
경 2094
 
2.1%
산 1894
 
1.9%
기 1845
 
1.9%
Other values (302) 47009
48.0%
Common
ValueCountFrequency (%)
32202
39.2%
1 8672
 
10.6%
- 8102
 
9.9%
2 5529
 
6.7%
3 4771
 
5.8%
4 4181
 
5.1%
5 3701
 
4.5%
6 3613
 
4.4%
7 3013
 
3.7%
8 2817
 
3.4%
Other values (2) 5504
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97991
54.4%
ASCII 82105
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32202
39.2%
1 8672
 
10.6%
- 8102
 
9.9%
2 5529
 
6.7%
3 4771
 
5.8%
4 4181
 
5.1%
5 3701
 
4.5%
6 3613
 
4.4%
7 3013
 
3.7%
8 2817
 
3.4%
Other values (2) 5504
 
6.7%
Hangul
ValueCountFrequency (%)
동 10004
 
10.2%
시 9797
 
10.0%
구 8205
 
8.4%
서 6578
 
6.7%
울 5120
 
5.2%
도 3287
 
3.4%
남 2158
 
2.2%
경 2094
 
2.1%
산 1894
 
1.9%
기 1845
 
1.9%
Other values (302) 47009
48.0%

식당도로명주소
Text

Distinct9286
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:09:41.118885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length19.5849
Min length13

Characters and Unicode

Total characters195849
Distinct characters485
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8911 ?
Unique (%)89.1%

Sample

1st row서울특별시 마포구 망원로6길 21
2nd row서울특별시 마포구 양화로6길 84
3rd row서울특별시 강남구 학동로56길 49
4th row서울특별시 종로구 사직로8길 21
5th row서울특별시 강남구 논현로97길 19-11
ValueCountFrequency (%)
서울특별시 5027
 
11.9%
경기도 1672
 
4.0%
마포구 835
 
2.0%
강남구 624
 
1.5%
중구 581
 
1.4%
제주특별자치도 557
 
1.3%
종로구 509
 
1.2%
부산광역시 443
 
1.0%
인천광역시 396
 
0.9%
용산구 379
 
0.9%
Other values (7862) 31177
73.9%
2023-12-10T22:09:41.946131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32212
 
16.4%
시 9871
 
5.0%
로 9273
 
4.7%
구 8280
 
4.2%
1 7750
 
4.0%
서 6614
 
3.4%
길 6056
 
3.1%
별 5625
 
2.9%
특 5621
 
2.9%
2 5281
 
2.7%
Other values (475) 99266
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125949
64.3%
Decimal Number 35454
 
18.1%
Space Separator 32212
 
16.4%
Dash Punctuation 2224
 
1.1%
Other Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9871
 
7.8%
로 9273
 
7.4%
구 8280
 
6.6%
서 6614
 
5.3%
길 6056
 
4.8%
별 5625
 
4.5%
특 5621
 
4.5%
울 5237
 
4.2%
도 3774
 
3.0%
대 2441
 
1.9%
Other values (461) 63157
50.1%
Decimal Number
ValueCountFrequency (%)
1 7750
21.9%
2 5281
14.9%
3 3919
11.1%
4 3417
9.6%
5 3051
 
8.6%
6 2792
 
7.9%
7 2584
 
7.3%
8 2252
 
6.4%
0 2237
 
6.3%
9 2171
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 9
90.0%
· 1
 
10.0%
Space Separator
ValueCountFrequency (%)
32212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125949
64.3%
Common 69900
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9871
 
7.8%
로 9273
 
7.4%
구 8280
 
6.6%
서 6614
 
5.3%
길 6056
 
4.8%
별 5625
 
4.5%
특 5621
 
4.5%
울 5237
 
4.2%
도 3774
 
3.0%
대 2441
 
1.9%
Other values (461) 63157
50.1%
Common
ValueCountFrequency (%)
32212
46.1%
1 7750
 
11.1%
2 5281
 
7.6%
3 3919
 
5.6%
4 3417
 
4.9%
5 3051
 
4.4%
6 2792
 
4.0%
7 2584
 
3.7%
8 2252
 
3.2%
0 2237
 
3.2%
Other values (4) 4405
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125941
64.3%
ASCII 69899
35.7%
Compat Jamo 8
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32212
46.1%
1 7750
 
11.1%
2 5281
 
7.6%
3 3919
 
5.6%
4 3417
 
4.9%
5 3051
 
4.4%
6 2792
 
4.0%
7 2584
 
3.7%
8 2252
 
3.2%
0 2237
 
3.2%
Other values (3) 4404
 
6.3%
Hangul
ValueCountFrequency (%)
시 9871
 
7.8%
로 9273
 
7.4%
구 8280
 
6.6%
서 6614
 
5.3%
길 6056
 
4.8%
별 5625
 
4.5%
특 5621
 
4.5%
울 5237
 
4.2%
도 3774
 
3.0%
대 2441
 
1.9%
Other values (454) 63149
50.1%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
25.0%
ㅜ 1
12.5%
ㅘ 1
12.5%
ㅅ 1
12.5%
ㅏ 1
12.5%
ㄱ 1
12.5%
ㅇ 1
12.5%
None
ValueCountFrequency (%)
· 1
100.0%

식당위도좌표값
Real number (ℝ)

Distinct9639
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.95265
Minimum33.212482
Maximum38.375524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:09:42.227023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.212482
5-th percentile33.535337
Q136.939898
median37.510881
Q337.561111
95-th percentile37.688297
Maximum38.375524
Range5.1630412
Interquartile range (IQR)0.62121297

Descriptive statistics

Standard deviation1.1510309
Coefficient of variation (CV)0.031148804
Kurtosis2.6690482
Mean36.95265
Median Absolute Deviation (MAD)0.07373505
Skewness-1.9022626
Sum369526.5
Variance1.324872
MonotonicityNot monotonic
2023-12-10T22:09:42.444069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.39354833 15
 
0.1%
37.5259168 13
 
0.1%
37.51419392 13
 
0.1%
37.50843949 12
 
0.1%
37.51232892 12
 
0.1%
37.52719061 11
 
0.1%
37.50555211 10
 
0.1%
37.564616 9
 
0.1%
37.54601984 8
 
0.1%
37.50500107 8
 
0.1%
Other values (9629) 9889
98.9%
ValueCountFrequency (%)
33.21248245 1
< 0.1%
33.21953841 1
< 0.1%
33.22026062 1
< 0.1%
33.22040939 1
< 0.1%
33.2222922 1
< 0.1%
33.2254873 1
< 0.1%
33.22556305 1
< 0.1%
33.226796 1
< 0.1%
33.2277502 1
< 0.1%
33.2277787 1
< 0.1%
ValueCountFrequency (%)
38.3755237 1
< 0.1%
38.3752432 1
< 0.1%
38.3727953 1
< 0.1%
38.3534145 1
< 0.1%
38.296318 1
< 0.1%
38.2962525 1
< 0.1%
38.29440923 1
< 0.1%
38.2875137 1
< 0.1%
38.2796917 1
< 0.1%
38.2663129 1
< 0.1%

식당경도좌표값
Real number (ℝ)

Distinct9643
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.23916
Minimum126.14561
Maximum130.90807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:09:42.686309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.14561
5-th percentile126.61894
Q1126.92408
median127.0129
Q3127.1337
95-th percentile129.06422
Maximum130.90807
Range4.7624672
Interquartile range (IQR)0.2096187

Descriptive statistics

Standard deviation0.68768052
Coefficient of variation (CV)0.0054046295
Kurtosis2.3447466
Mean127.23916
Median Absolute Deviation (MAD)0.09623835
Skewness1.8368257
Sum1272391.6
Variance0.47290449
MonotonicityNot monotonic
2023-12-10T22:09:42.902999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.11204583 15
 
0.1%
127.1040148 13
 
0.1%
126.9283122 13
 
0.1%
127.05993123 12
 
0.1%
127.0976163 12
 
0.1%
127.02776092 11
 
0.1%
127.0035662 10
 
0.1%
126.9820648 9
 
0.1%
126.8902163 8
 
0.1%
127.22430059 8
 
0.1%
Other values (9633) 9889
98.9%
ValueCountFrequency (%)
126.1456065 1
< 0.1%
126.1463532 1
< 0.1%
126.16412264 1
< 0.1%
126.1668586 1
< 0.1%
126.176138 1
< 0.1%
126.1772852 1
< 0.1%
126.1800996 1
< 0.1%
126.1812005 1
< 0.1%
126.1834525 1
< 0.1%
126.1934815 1
< 0.1%
ValueCountFrequency (%)
130.90807367 1
< 0.1%
129.5768044 1
< 0.1%
129.5761115 1
< 0.1%
129.5757366 1
< 0.1%
129.473696 1
< 0.1%
129.45709028 1
< 0.1%
129.4134275 1
< 0.1%
129.40671351 1
< 0.1%
129.4054877 1
< 0.1%
129.4049836 1
< 0.1%

1인당가격만원단위구간값
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
만원 미만
9659 
만원-2만원
 
215
<NA>
 
126

Length

Max length6
Median length5
Mean length5.0089
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
만원 미만 9659
96.6%
만원-2만원 215
 
2.1%
<NA> 126
 
1.3%

Length

2023-12-10T22:09:43.135310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:43.306945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만원 9659
49.1%
미만 9659
49.1%
만원-2만원 215
 
1.1%
na 126
 
0.6%

음식대분류명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
카페 10000
100.0%

Length

2023-12-10T22:09:43.489155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:43.735018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카페 10000
100.0%

음식소분류명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
카페 / 디저트
8848 
베이커리
1152 

Length

Max length8
Median length8
Mean length7.5392
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
카페 / 디저트 8848
88.5%
베이커리 1152
 
11.5%

Length

2023-12-10T22:09:44.043873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:44.261012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카페 8848
31.9%
8848
31.9%
디저트 8848
31.9%
베이커리 1152
 
4.2%

식당평점값
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)0.7%
Missing6814
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean3.7676397
Minimum2.6
Maximum4.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:09:44.495133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3.2
Q13.6
median3.8
Q33.9
95-th percentile4.3
Maximum4.7
Range2.1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.31096833
Coefficient of variation (CV)0.082536643
Kurtosis0.18616153
Mean3.7676397
Median Absolute Deviation (MAD)0.2
Skewness-0.34003363
Sum12003.7
Variance0.096701303
MonotonicityNot monotonic
2023-12-10T22:09:44.694455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3.9 766
 
7.7%
3.8 345
 
3.5%
3.7 291
 
2.9%
3.6 270
 
2.7%
4.0 243
 
2.4%
3.5 230
 
2.3%
3.4 229
 
2.3%
4.1 209
 
2.1%
4.2 134
 
1.3%
3.3 125
 
1.2%
Other values (12) 344
 
3.4%
(Missing) 6814
68.1%
ValueCountFrequency (%)
2.6 1
 
< 0.1%
2.7 2
 
< 0.1%
2.8 8
 
0.1%
2.9 17
 
0.2%
3.0 29
 
0.3%
3.1 55
 
0.5%
3.2 71
 
0.7%
3.3 125
1.2%
3.4 229
2.3%
3.5 230
2.3%
ValueCountFrequency (%)
4.7 1
 
< 0.1%
4.6 13
 
0.1%
4.5 12
 
0.1%
4.4 54
 
0.5%
4.3 81
 
0.8%
4.2 134
 
1.3%
4.1 209
 
2.1%
4.0 243
 
2.4%
3.9 766
7.7%
3.8 345
3.5%

식당리뷰수
Real number (ℝ)

ZEROS 

Distinct178
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.551
Minimum0
Maximum383
Zeros549
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:09:44.937747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q310
95-th percentile40
Maximum383
Range383
Interquartile range (IQR)8

Descriptive statistics

Standard deviation21.082235
Coefficient of variation (CV)1.9981267
Kurtosis47.576324
Mean10.551
Median Absolute Deviation (MAD)3
Skewness5.7785789
Sum105510
Variance444.46065
MonotonicityNot monotonic
2023-12-10T22:09:45.204265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1317
13.2%
1 1242
12.4%
3 1117
11.2%
4 895
 
8.9%
5 698
 
7.0%
6 550
 
5.5%
0 549
 
5.5%
7 399
 
4.0%
8 344
 
3.4%
9 300
 
3.0%
Other values (168) 2589
25.9%
ValueCountFrequency (%)
0 549
5.5%
1 1242
12.4%
2 1317
13.2%
3 1117
11.2%
4 895
8.9%
5 698
7.0%
6 550
5.5%
7 399
 
4.0%
8 344
 
3.4%
9 300
 
3.0%
ValueCountFrequency (%)
383 1
< 0.1%
294 1
< 0.1%
283 1
< 0.1%
266 1
< 0.1%
260 1
< 0.1%
251 1
< 0.1%
250 1
< 0.1%
230 1
< 0.1%
225 1
< 0.1%
222 1
< 0.1%

식당조회수
Real number (ℝ)

Distinct6673
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8594.131
Minimum31
Maximum338322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:09:45.461661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile875.9
Q12027.75
median3545
Q37605
95-th percentile31661.75
Maximum338322
Range338291
Interquartile range (IQR)5577.25

Descriptive statistics

Standard deviation17276.194
Coefficient of variation (CV)2.0102316
Kurtosis62.087393
Mean8594.131
Median Absolute Deviation (MAD)1952
Skewness6.4774823
Sum85941310
Variance2.9846687 × 108
MonotonicityNot monotonic
2023-12-10T22:09:45.705377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1866 7
 
0.1%
2052 7
 
0.1%
2535 7
 
0.1%
3062 7
 
0.1%
2281 7
 
0.1%
1117 7
 
0.1%
1058 6
 
0.1%
2506 6
 
0.1%
1556 6
 
0.1%
1756 6
 
0.1%
Other values (6663) 9934
99.3%
ValueCountFrequency (%)
31 1
< 0.1%
51 1
< 0.1%
64 1
< 0.1%
70 1
< 0.1%
78 1
< 0.1%
79 2
< 0.1%
86 1
< 0.1%
103 1
< 0.1%
114 1
< 0.1%
116 1
< 0.1%
ValueCountFrequency (%)
338322 1
< 0.1%
278609 1
< 0.1%
245985 1
< 0.1%
242779 1
< 0.1%
239045 1
< 0.1%
229677 1
< 0.1%
209156 1
< 0.1%
204320 1
< 0.1%
200993 1
< 0.1%
199170 1
< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct1130
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.9323
Minimum14
Maximum6907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:09:45.985704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile15
Q124
median49
Q3142
95-th percentile851.05
Maximum6907
Range6893
Interquartile range (IQR)118

Descriptive statistics

Standard deviation465.51097
Coefficient of variation (CV)2.4003787
Kurtosis45.111531
Mean193.9323
Median Absolute Deviation (MAD)31
Skewness5.79119
Sum1939323
Variance216700.46
MonotonicityDecreasing
2023-12-10T22:09:46.601033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 288
 
2.9%
15 283
 
2.8%
19 275
 
2.8%
17 272
 
2.7%
14 246
 
2.5%
18 245
 
2.5%
23 215
 
2.1%
22 201
 
2.0%
24 191
 
1.9%
20 189
 
1.9%
Other values (1120) 7595
75.9%
ValueCountFrequency (%)
14 246
2.5%
15 283
2.8%
16 288
2.9%
17 272
2.7%
18 245
2.5%
19 275
2.8%
20 189
1.9%
21 172
1.7%
22 201
2.0%
23 215
2.1%
ValueCountFrequency (%)
6907 1
< 0.1%
6602 1
< 0.1%
6550 1
< 0.1%
6306 1
< 0.1%
5879 1
< 0.1%
5248 1
< 0.1%
5228 1
< 0.1%
5214 1
< 0.1%
5110 1
< 0.1%
4847 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

2023-12-10T22:09:46.870565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:47.011381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

Sample

기준년월탑리스트ID탑리스트제목명탑리스트설명내용탑리스트순위식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
0202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트15jpxtJNIYu커피가게동경<NA>070-4845-0619서울시 마포구 망원동 410-1서울특별시 마포구 망원로6길 2137.555952126.90357만원 미만카페카페 / 디저트4.31742009936907202108
1202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트24PsHFZvPM1몽카페그레고리<NA>02-322-9579서울시 마포구 합정동 410-11서울특별시 마포구 양화로6길 8437.548319126.918768만원 미만카페카페 / 디저트3.91841754426602202108
2202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트3apRF6cwY8B리틀앤머치 (휴업중)<NA>02-545-1023서울시 강남구 삼성동 10-8서울특별시 강남구 학동로56길 4937.514041127.043531만원 미만카페카페 / 디저트4.42122786096550202108
3202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트4AdWddi4FyZ나무사이로<NA>070-7590-0885서울시 종로구 내자동 196서울특별시 종로구 사직로8길 2137.574689126.970972만원 미만카페카페 / 디저트4.11392043206306202108
4202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트5utgqd8rlhjPr카페413프로젝트<NA>070-7798-0544서울시 강남구 역삼동 640-9서울특별시 강남구 논현로97길 19-1137.502342127.034485만원 미만카페카페 / 디저트4.22072390455879202108
5202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트67jfEEPXh_6오뗄두스광화문점070-4221-5705서울시 중구 태평로1가 84서울특별시 중구 세종대로 13637.568465126.977811만원 미만카페카페 / 디저트4.21902427795248202108
6202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트76GA7iexxTg메종엠오<NA>070-4239-3335서울시 서초구 방배동 876-41서울특별시 서초구 방배로26길 2237.489295126.994089만원 미만카페베이커리4.31781888785228202108
7202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트8oP0yz0EYLj반짝반짝빛나는<NA>02-738-4525서울시 종로구 관훈동 6서울특별시 종로구 인사동길 28-137.573305126.986141만원 미만카페카페 / 디저트4.11322459855214202108
8202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9lJTpl10oBA프츠커피컴퍼니1호점02-3275-2045서울시 마포구 도화동 179-9서울특별시 마포구 새창로2길 1737.541027126.949043만원 미만카페카페 / 디저트4.22831679605110202108
9202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트10SMcOGxw-pp소나<NA>02-515-3246서울시 강남구 신사동 520-1서울특별시 강남구 강남대로162길 4037.520714127.021618만원 미만카페카페 / 디저트4.01591912884847202108
기준년월탑리스트ID탑리스트제목명탑리스트설명내용탑리스트순위식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
9990202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9991GaTY_LVSoos0동작노을카페<NA>02-3481-4111서울시 동작구 동작동 316-3서울특별시 동작구 동작대로 33537.506001126.980035만원 미만카페카페 / 디저트<NA>2195514202108
9991202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9992wfMtTkxLL4-s카페좋아진다<NA>02-812-0222서울시 동작구 사당동 1027-2서울특별시 동작구 사당로26길 8737.47997126.97818만원 미만카페카페 / 디저트<NA>4116914202108
9992202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9993pj0ybh8n1oER춘삼월애<NA>032-934-5199인천시 강화군 강화읍 국화리 178인천광역시 강화군 강화읍 강화대로516번길 1537.748336126.476628만원 미만카페카페 / 디저트<NA>2129314202108
9993202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9994QIx069dR5nYV오렌지엘리펀트<NA>070-8624-5552경기도 의정부시 의정부동 218-29경기도 의정부시 태평로155번길 3637.746244127.048197만원 미만카페카페 / 디저트<NA>160614202108
9994202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9995gWRbBHwpx3Jd신기여울<NA>070-8614-6150부산시 영도구 영선동4가 663부산광역시 영도구 절영로 202-235.079458129.044365만원 미만카페카페 / 디저트<NA>355214202108
9995202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9996sj5WhWPI4c7f카페에스크<NA>02-749-5489서울시 용산구 한강로3가 40-91서울특별시 용산구 이촌로29길 1137.524425126.959552만원 미만카페카페 / 디저트<NA>183914202108
9996202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9997JfTN_5Fa7HOJ에맥앤볼리오스안다즈호텔점02-540-0715서울시 강남구 신사동 603서울특별시 강남구 논현로 85437.525322127.028865만원 미만카페카페 / 디저트<NA>3118814202108
9997202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9998GZtjMO9mcbvj페이드인<NA>041-546-0227충청남도 아산시 배방읍 휴대리 342-6충청남도 아산시 배방읍 휴대세교길 8236.778959127.105317만원 미만카페카페 / 디저트<NA>277314202108
9998202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트9999L6c9F7nNM6ThHeyan<NA>054-252-0200경상북도 포항시 북구 두호동 156경상북도 포항시 북구 해안로 21936.064776129.387567만원 미만카페카페 / 디저트<NA>5156714202108
9999202108TOP_CAFE_BAKERY_202108카페베이커리탑리스트카페와 베이커리중 가장 인기있는 곳들을 모은 탑리스트10000mSzGKKMGPmGz카페항상<NA>02-477-4833서울시 강동구 성내동 319-9서울특별시 강동구 성내로3길 537.530677127.122026만원 미만카페카페 / 디저트<NA>169614202108