Overview

Dataset statistics

Number of variables27
Number of observations3477
Missing cells11472
Missing cells (%)12.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory753.9 KiB
Average record size in memory222.0 B

Variable types

Numeric6
Text4
Categorical5
Boolean12

Dataset

Description전북특별자치도 전주시에 위치한 음식점의 운영정보 데이터를 제공하며 식당명, 좌석수, 주차가능여부, 와이파이제공여부 등을 제공합니다.항목 : 식당명, 지역명, 입식좌석수, 좌식좌석수, 주차가능여부, 와이파이제공여부, 놀이바유무, 반려동물입장가능여부, 다국어메뉴판제공여부, 화장실정보내용 등담당부서 : 환경위생과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15099651/fileData.do

Alerts

지역명 is highly imbalanced (98.0%)Imbalance
놀이방유무 is highly imbalanced (94.5%)Imbalance
반려동물입장가능여부 is highly imbalanced (75.9%)Imbalance
택배판매유무 is highly imbalanced (99.6%)Imbalance
배리어프리유무 is highly imbalanced (93.8%)Imbalance
예약방식명 is highly imbalanced (67.0%)Imbalance
키오스크유무 is highly imbalanced (86.8%)Imbalance
모바일페이먼트유무 is highly imbalanced (79.5%)Imbalance
스마트오더유무 is highly imbalanced (79.5%)Imbalance
영업시간내용 has 1835 (52.8%) missing valuesMissing
홈페이지(URL) has 2735 (78.7%) missing valuesMissing
인근랜드마크위도 has 1354 (38.9%) missing valuesMissing
인근랜드마크경도 has 1354 (38.9%) missing valuesMissing
인근랜드마크와거리 has 1354 (38.9%) missing valuesMissing
대표메뉴명 has 2840 (81.7%) missing valuesMissing
식당(ID) has unique valuesUnique
입식좌석수 has 1368 (39.3%) zerosZeros
좌식좌석수 has 3088 (88.8%) zerosZeros

Reproduction

Analysis started2024-03-14 13:27:34.262541
Analysis finished2024-03-14 13:27:36.037870
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당(ID)
Real number (ℝ)

UNIQUE 

Distinct3477
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591389.67
Minimum1606
Maximum971513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-03-14T22:27:36.260947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1606
5-th percentile92399.6
Q1368562
median631329
Q3863712
95-th percentile954266.2
Maximum971513
Range969907
Interquartile range (IQR)495150

Descriptive statistics

Standard deviation282690.59
Coefficient of variation (CV)0.47801071
Kurtosis-1.1037317
Mean591389.67
Median Absolute Deviation (MAD)233323
Skewness-0.39100456
Sum2.0562619 × 109
Variance7.9913971 × 1010
MonotonicityStrictly increasing
2024-03-14T22:27:36.687552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1606 1
 
< 0.1%
831519 1
 
< 0.1%
825712 1
 
< 0.1%
826349 1
 
< 0.1%
827149 1
 
< 0.1%
827365 1
 
< 0.1%
827774 1
 
< 0.1%
829910 1
 
< 0.1%
830091 1
 
< 0.1%
830801 1
 
< 0.1%
Other values (3467) 3467
99.7%
ValueCountFrequency (%)
1606 1
< 0.1%
1681 1
< 0.1%
2691 1
< 0.1%
2999 1
< 0.1%
3101 1
< 0.1%
3103 1
< 0.1%
4121 1
< 0.1%
4124 1
< 0.1%
4465 1
< 0.1%
4995 1
< 0.1%
ValueCountFrequency (%)
971513 1
< 0.1%
971502 1
< 0.1%
971476 1
< 0.1%
971435 1
< 0.1%
971407 1
< 0.1%
971250 1
< 0.1%
970889 1
< 0.1%
970671 1
< 0.1%
970502 1
< 0.1%
970402 1
< 0.1%

식당명
Text

Distinct3440
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2024-03-14T22:27:37.640738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.1012367
Min length1

Characters and Unicode

Total characters24691
Distinct characters862
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3403 ?
Unique (%)97.9%

Sample

1st row피자애 송천점
2nd row진미반점
3rd row한국식당
4th row비공식
5th rowPNB풍년제과 본점
ValueCountFrequency (%)
송천점 73
 
1.5%
전북대점 70
 
1.4%
효자점 37
 
0.8%
전주효자점 35
 
0.7%
서신점 34
 
0.7%
전주송천점 31
 
0.6%
삼천점 30
 
0.6%
전주대점 28
 
0.6%
이디야커피 27
 
0.6%
카페 26
 
0.5%
Other values (3385) 4489
92.0%
2024-03-14T22:27:38.930073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1446
 
5.9%
점 1347
 
5.5%
전 744
 
3.0%
주 616
 
2.5%
이 477
 
1.9%
스 341
 
1.4%
리 341
 
1.4%
피 320
 
1.3%
가 310
 
1.3%
천 300
 
1.2%
Other values (852) 18449
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22266
90.2%
Space Separator 1446
 
5.9%
Decimal Number 342
 
1.4%
Uppercase Letter 342
 
1.4%
Lowercase Letter 171
 
0.7%
Other Punctuation 58
 
0.2%
Open Punctuation 20
 
0.1%
Close Punctuation 20
 
0.1%
Control 14
 
0.1%
Dash Punctuation 8
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1347
 
6.0%
전 744
 
3.3%
주 616
 
2.8%
이 477
 
2.1%
스 341
 
1.5%
리 341
 
1.5%
피 320
 
1.4%
가 310
 
1.4%
천 300
 
1.3%
자 292
 
1.3%
Other values (781) 17178
77.1%
Uppercase Letter
ValueCountFrequency (%)
C 43
12.6%
E 42
12.3%
B 28
 
8.2%
F 27
 
7.9%
O 26
 
7.6%
A 23
 
6.7%
N 14
 
4.1%
L 14
 
4.1%
S 13
 
3.8%
T 12
 
3.5%
Other values (14) 100
29.2%
Lowercase Letter
ValueCountFrequency (%)
e 24
14.0%
o 21
12.3%
a 20
11.7%
f 15
 
8.8%
c 14
 
8.2%
s 12
 
7.0%
t 8
 
4.7%
r 6
 
3.5%
i 6
 
3.5%
n 6
 
3.5%
Other values (14) 39
22.8%
Decimal Number
ValueCountFrequency (%)
1 83
24.3%
2 54
15.8%
0 38
11.1%
9 34
9.9%
3 33
 
9.6%
5 30
 
8.8%
4 22
 
6.4%
8 17
 
5.0%
6 17
 
5.0%
7 14
 
4.1%
Other Punctuation
ValueCountFrequency (%)
& 36
62.1%
, 10
 
17.2%
. 5
 
8.6%
# 4
 
6.9%
; 2
 
3.4%
? 1
 
1.7%
Space Separator
ValueCountFrequency (%)
1446
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Control
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22262
90.2%
Common 1912
 
7.7%
Latin 513
 
2.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1347
 
6.1%
전 744
 
3.3%
주 616
 
2.8%
이 477
 
2.1%
스 341
 
1.5%
리 341
 
1.5%
피 320
 
1.4%
가 310
 
1.4%
천 300
 
1.3%
자 292
 
1.3%
Other values (777) 17174
77.1%
Latin
ValueCountFrequency (%)
C 43
 
8.4%
E 42
 
8.2%
B 28
 
5.5%
F 27
 
5.3%
O 26
 
5.1%
e 24
 
4.7%
A 23
 
4.5%
o 21
 
4.1%
a 20
 
3.9%
f 15
 
2.9%
Other values (38) 244
47.6%
Common
ValueCountFrequency (%)
1446
75.6%
1 83
 
4.3%
2 54
 
2.8%
0 38
 
2.0%
& 36
 
1.9%
9 34
 
1.8%
3 33
 
1.7%
5 30
 
1.6%
4 22
 
1.2%
( 20
 
1.0%
Other values (13) 116
 
6.1%
Han
ValueCountFrequency (%)
愛 1
25.0%
眞 1
25.0%
熟 1
25.0%
酒 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22262
90.2%
ASCII 2422
 
9.8%
CJK 4
 
< 0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1446
59.7%
1 83
 
3.4%
2 54
 
2.2%
C 43
 
1.8%
E 42
 
1.7%
0 38
 
1.6%
& 36
 
1.5%
9 34
 
1.4%
3 33
 
1.4%
5 30
 
1.2%
Other values (60) 583
24.1%
Hangul
ValueCountFrequency (%)
점 1347
 
6.1%
전 744
 
3.3%
주 616
 
2.8%
이 477
 
2.1%
스 341
 
1.5%
리 341
 
1.5%
피 320
 
1.4%
가 310
 
1.4%
천 300
 
1.3%
자 292
 
1.3%
Other values (777) 17174
77.1%
Punctuation
ValueCountFrequency (%)
’ 3
100.0%
CJK
ValueCountFrequency (%)
愛 1
25.0%
眞 1
25.0%
熟 1
25.0%
酒 1
25.0%

지역명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
전북특별자치도 전주시
3466 
<NA>
 
10
전북 전주시
 
1

Length

Max length11
Median length11
Mean length10.97843
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row전북특별자치도 전주시
2nd row전북특별자치도 전주시
3rd row전북특별자치도 전주시
4th row전북특별자치도 전주시
5th row전북특별자치도 전주시

Common Values

ValueCountFrequency (%)
전북특별자치도 전주시 3466
99.7%
<NA> 10
 
0.3%
전북 전주시 1
 
< 0.1%

Length

2024-03-14T22:27:39.200191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:27:39.390537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 3467
49.9%
전북특별자치도 3466
49.9%
na 10
 
0.1%
전북 1
 
< 0.1%

입식좌석수
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.725913
Minimum0
Maximum560
Zeros1368
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-03-14T22:27:39.586399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q344
95-th percentile88
Maximum560
Range560
Interquartile range (IQR)44

Descriptive statistics

Standard deviation35.881581
Coefficient of variation (CV)1.2941533
Kurtosis29.73628
Mean27.725913
Median Absolute Deviation (MAD)20
Skewness3.3799028
Sum96403
Variance1287.4879
MonotonicityNot monotonic
2024-03-14T22:27:39.832647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1368
39.3%
40 142
 
4.1%
20 134
 
3.9%
24 116
 
3.3%
36 86
 
2.5%
44 79
 
2.3%
48 79
 
2.3%
32 78
 
2.2%
80 77
 
2.2%
60 77
 
2.2%
Other values (106) 1241
35.7%
ValueCountFrequency (%)
0 1368
39.3%
2 6
 
0.2%
3 4
 
0.1%
4 18
 
0.5%
5 4
 
0.1%
6 16
 
0.5%
7 4
 
0.1%
8 35
 
1.0%
9 6
 
0.2%
10 24
 
0.7%
ValueCountFrequency (%)
560 1
 
< 0.1%
522 1
 
< 0.1%
350 1
 
< 0.1%
280 1
 
< 0.1%
264 1
 
< 0.1%
250 1
 
< 0.1%
240 1
 
< 0.1%
230 1
 
< 0.1%
210 1
 
< 0.1%
200 7
0.2%

좌식좌석수
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6163359
Minimum0
Maximum250
Zeros3088
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-03-14T22:27:40.340462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.809698
Coefficient of variation (CV)3.818699
Kurtosis72.571842
Mean3.6163359
Median Absolute Deviation (MAD)0
Skewness6.8447663
Sum12574
Variance190.70777
MonotonicityNot monotonic
2024-03-14T22:27:40.596448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3088
88.8%
24 47
 
1.4%
16 44
 
1.3%
20 44
 
1.3%
12 27
 
0.8%
32 26
 
0.7%
40 25
 
0.7%
8 20
 
0.6%
28 16
 
0.5%
60 11
 
0.3%
Other values (40) 129
 
3.7%
ValueCountFrequency (%)
0 3088
88.8%
2 2
 
0.1%
3 1
 
< 0.1%
4 3
 
0.1%
5 1
 
< 0.1%
6 5
 
0.1%
8 20
 
0.6%
9 1
 
< 0.1%
10 9
 
0.3%
11 1
 
< 0.1%
ValueCountFrequency (%)
250 1
 
< 0.1%
200 2
0.1%
160 1
 
< 0.1%
140 1
 
< 0.1%
120 2
0.1%
110 1
 
< 0.1%
100 4
0.1%
96 1
 
< 0.1%
92 2
0.1%
90 1
 
< 0.1%

주차가능여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
2602 
True
875 
ValueCountFrequency (%)
False 2602
74.8%
True 875
 
25.2%
2024-03-14T22:27:40.796654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

와이파이제공여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
2160 
True
1317 
ValueCountFrequency (%)
False 2160
62.1%
True 1317
37.9%
2024-03-14T22:27:40.943807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이방유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3455 
True
 
22
ValueCountFrequency (%)
False 3455
99.4%
True 22
 
0.6%
2024-03-14T22:27:41.092267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

반려동물입장가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3339 
True
 
138
ValueCountFrequency (%)
False 3339
96.0%
True 138
 
4.0%
2024-03-14T22:27:41.322085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

다국어메뉴판제공여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
True
2149 
False
1328 
ValueCountFrequency (%)
True 2149
61.8%
False 1328
38.2%
2024-03-14T22:27:41.468441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실정보내용
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
2908 
True
569 
ValueCountFrequency (%)
False 2908
83.6%
True 569
 
16.4%
2024-03-14T22:27:41.620162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

영업시간내용
Text

MISSING 

Distinct595
Distinct (%)36.2%
Missing1835
Missing (%)52.8%
Memory size27.3 KiB
2024-03-14T22:27:42.475830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length14
Mean length17.310597
Min length14

Characters and Unicode

Total characters28424
Distinct characters63
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

Unique443 ?
Unique (%)27.0%

Sample

1st row매일 10:00~21:30
2nd row매일 11:00~20:00
3rd row매일 08:00~22:30
4th row매일 11:00~24:00
5th row매일 09:00~22:00
ValueCountFrequency (%)
매일 1413
35.9%
평일 272
 
6.9%
10:00~22:00 112
 
2.8%
11:00~22:00 107
 
2.7%
11:00~21:00 105
 
2.7%
토요일 94
 
2.4%
주말 85
 
2.2%
11:00~23:00 57
 
1.5%
09:00~22:00 56
 
1.4%
09:00~21:00 48
 
1.2%
Other values (367) 1582
40.2%
2024-03-14T22:27:43.677105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8635
30.4%
: 3945
13.9%
1 2778
 
9.8%
2290
 
8.1%
2 2205
 
7.8%
~ 1971
 
6.9%
일 1896
 
6.7%
매 1413
 
5.0%
3 975
 
3.4%
, 325
 
1.1%
Other values (53) 1991
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15768
55.5%
Other Punctuation 4272
 
15.0%
Other Letter 4094
 
14.4%
Space Separator 2290
 
8.1%
Math Symbol 1971
 
6.9%
Lowercase Letter 17
 
0.1%
Uppercase Letter 10
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1896
46.3%
매 1413
34.5%
평 273
 
6.7%
요 150
 
3.7%
토 94
 
2.3%
주 85
 
2.1%
말 85
 
2.1%
휴 24
 
0.6%
공 20
 
0.5%
월 7
 
0.2%
Other values (26) 47
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 8635
54.8%
1 2778
 
17.6%
2 2205
 
14.0%
3 975
 
6.2%
9 266
 
1.7%
4 217
 
1.4%
8 203
 
1.3%
7 193
 
1.2%
5 153
 
1.0%
6 143
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
T 6
60.0%
I 1
 
10.0%
E 1
 
10.0%
M 1
 
10.0%
B 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
: 3945
92.3%
, 325
 
7.6%
/ 1
 
< 0.1%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
i 6
35.3%
e 5
29.4%
m 5
29.4%
t 1
 
5.9%
Space Separator
ValueCountFrequency (%)
2290
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1971
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24303
85.5%
Hangul 4094
 
14.4%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1896
46.3%
매 1413
34.5%
평 273
 
6.7%
요 150
 
3.7%
토 94
 
2.3%
주 85
 
2.1%
말 85
 
2.1%
휴 24
 
0.6%
공 20
 
0.5%
월 7
 
0.2%
Other values (26) 47
 
1.1%
Common
ValueCountFrequency (%)
0 8635
35.5%
: 3945
16.2%
1 2778
 
11.4%
2290
 
9.4%
2 2205
 
9.1%
~ 1971
 
8.1%
3 975
 
4.0%
, 325
 
1.3%
9 266
 
1.1%
4 217
 
0.9%
Other values (8) 696
 
2.9%
Latin
ValueCountFrequency (%)
T 6
22.2%
i 6
22.2%
e 5
18.5%
m 5
18.5%
I 1
 
3.7%
E 1
 
3.7%
M 1
 
3.7%
t 1
 
3.7%
B 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24330
85.6%
Hangul 4094
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8635
35.5%
: 3945
16.2%
1 2778
 
11.4%
2290
 
9.4%
2 2205
 
9.1%
~ 1971
 
8.1%
3 975
 
4.0%
, 325
 
1.3%
9 266
 
1.1%
4 217
 
0.9%
Other values (17) 723
 
3.0%
Hangul
ValueCountFrequency (%)
일 1896
46.3%
매 1413
34.5%
평 273
 
6.7%
요 150
 
3.7%
토 94
 
2.3%
주 85
 
2.1%
말 85
 
2.1%
휴 24
 
0.6%
공 20
 
0.5%
월 7
 
0.2%
Other values (26) 47
 
1.1%

택배판매유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3476 
True
 
1
ValueCountFrequency (%)
False 3476
> 99.9%
True 1
 
< 0.1%
2024-03-14T22:27:43.875794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배리어프리유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3452 
True
 
25
ValueCountFrequency (%)
False 3452
99.3%
True 25
 
0.7%
2024-03-14T22:27:44.019544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배달서비스유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
2334 
True
1143 
ValueCountFrequency (%)
False 2334
67.1%
True 1143
32.9%
2024-03-14T22:27:44.166966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예약방식명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
N
2982 
전화예약
454 
전화예약,온라인예약
 
21
온라인예약
 
20

Length

Max length10
Median length1
Mean length1.4690825
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 2982
85.8%
전화예약 454
 
13.1%
전화예약,온라인예약 21
 
0.6%
온라인예약 20
 
0.6%

Length

2024-03-14T22:27:44.346247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:27:44.529194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 2982
85.8%
전화예약 454
 
13.1%
전화예약,온라인예약 21
 
0.6%
온라인예약 20
 
0.6%

온라인예약정보내용
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
레드테이블
1789 
<NA>
1648 
네이버 , 레드테이블
 
33
네이버
 
7

Length

Max length11
Median length5
Mean length4.5789474
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row레드테이블
3rd row레드테이블
4th row<NA>
5th row레드테이블

Common Values

ValueCountFrequency (%)
레드테이블 1789
51.5%
<NA> 1648
47.4%
네이버 , 레드테이블 33
 
0.9%
네이버 7
 
0.2%

Length

2024-03-14T22:27:44.818255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:27:45.046070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
레드테이블 1822
51.4%
na 1648
46.5%
네이버 40
 
1.1%
33
 
0.9%

홈페이지(URL)
Text

MISSING 

Distinct622
Distinct (%)83.8%
Missing2735
Missing (%)78.7%
Memory size27.3 KiB
2024-03-14T22:27:45.632422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length150
Mean length50.485175
Min length14

Characters and Unicode

Total characters37460
Distinct characters142
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

Unique577 ?
Unique (%)77.8%

Sample

1st rowhttp://pnb본점.com/
2nd rowhttp://makeus.net/33350
3rd rowhttps://smartstore.naver.com/mjinmi
4th rowhttp://www.odr.kr/mmmwkb
5th rowhttp://seongmidang.modoo.at/
ValueCountFrequency (%)
http://www.ediya.com/,http://instagram.com/ediya.coffee 24
 
3.2%
https://www.bonif.co.kr/menu/list?brdcd=bf101 11
 
1.5%
http://www.sinpomandoo.co.kr 9
 
1.2%
http://www.hyundaiok.com 9
 
1.2%
http://www.palgongtea.co.kr/,https://blog.naver.com/palgongtea_official,https://www.facebook.com/palgongtea.official,https://www.instagram.com/palgongtea.official 9
 
1.2%
http://www.baskinrobbins.co.kr,http://blog.naver.com/brgirl31/,https://www.facebook.com/baskinrobbinskr/,https://www.instagram.com/baskinrobbinskorea 7
 
0.9%
http://www.theliter.co.kr 5
 
0.7%
http://www.ebiga.co.kr 4
 
0.5%
http://kyochon.com 4
 
0.5%
http://www.60chicken.co.kr,https://www.facebook.com/60gye/,https://www.instagram.com/60chicken/,http://blog.naver.com/60gye,http://cafe.naver.com/60supporters 4
 
0.5%
Other values (616) 661
88.5%
2024-03-14T22:27:46.709253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3401
 
9.1%
t 3107
 
8.3%
o 2686
 
7.2%
. 2246
 
6.0%
a 2245
 
6.0%
w 1835
 
4.9%
m 1572
 
4.2%
c 1521
 
4.1%
h 1436
 
3.8%
p 1414
 
3.8%
Other values (132) 15997
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27372
73.1%
Other Punctuation 7380
 
19.7%
Decimal Number 1763
 
4.7%
Uppercase Letter 416
 
1.1%
Connector Punctuation 330
 
0.9%
Other Letter 90
 
0.2%
Math Symbol 77
 
0.2%
Dash Punctuation 23
 
0.1%
Space Separator 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
브 3
 
3.3%
도 3
 
3.3%
점 3
 
3.3%
뉴 3
 
3.3%
시 3
 
3.3%
메 2
 
2.2%
장 2
 
2.2%
둑 2
 
2.2%
한 2
 
2.2%
야 2
 
2.2%
Other values (58) 65
72.2%
Lowercase Letter
ValueCountFrequency (%)
t 3107
 
11.4%
o 2686
 
9.8%
a 2245
 
8.2%
w 1835
 
6.7%
m 1572
 
5.7%
c 1521
 
5.6%
h 1436
 
5.2%
p 1414
 
5.2%
n 1329
 
4.9%
r 1316
 
4.8%
Other values (16) 8911
32.6%
Uppercase Letter
ValueCountFrequency (%)
B 82
19.7%
C 76
18.3%
E 68
16.3%
A 30
 
7.2%
S 25
 
6.0%
D 22
 
5.3%
F 16
 
3.8%
M 14
 
3.4%
P 12
 
2.9%
N 11
 
2.6%
Other values (15) 60
14.4%
Decimal Number
ValueCountFrequency (%)
1 257
14.6%
0 240
13.6%
2 214
12.1%
3 166
9.4%
8 164
9.3%
6 162
9.2%
9 160
9.1%
7 140
7.9%
4 132
7.5%
5 128
7.3%
Other Punctuation
ValueCountFrequency (%)
/ 3401
46.1%
. 2246
30.4%
: 1103
 
14.9%
, 361
 
4.9%
% 189
 
2.6%
? 58
 
0.8%
& 19
 
0.3%
# 2
 
< 0.1%
! 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 330
100.0%
Math Symbol
ValueCountFrequency (%)
= 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27788
74.2%
Common 9582
 
25.6%
Hangul 90
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
브 3
 
3.3%
도 3
 
3.3%
점 3
 
3.3%
뉴 3
 
3.3%
시 3
 
3.3%
메 2
 
2.2%
장 2
 
2.2%
둑 2
 
2.2%
한 2
 
2.2%
야 2
 
2.2%
Other values (58) 65
72.2%
Latin
ValueCountFrequency (%)
t 3107
 
11.2%
o 2686
 
9.7%
a 2245
 
8.1%
w 1835
 
6.6%
m 1572
 
5.7%
c 1521
 
5.5%
h 1436
 
5.2%
p 1414
 
5.1%
n 1329
 
4.8%
r 1316
 
4.7%
Other values (41) 9327
33.6%
Common
ValueCountFrequency (%)
/ 3401
35.5%
. 2246
23.4%
: 1103
 
11.5%
, 361
 
3.8%
_ 330
 
3.4%
1 257
 
2.7%
0 240
 
2.5%
2 214
 
2.2%
% 189
 
2.0%
3 166
 
1.7%
Other values (13) 1075
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37370
99.8%
Hangul 90
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3401
 
9.1%
t 3107
 
8.3%
o 2686
 
7.2%
. 2246
 
6.0%
a 2245
 
6.0%
w 1835
 
4.9%
m 1572
 
4.2%
c 1521
 
4.1%
h 1436
 
3.8%
p 1414
 
3.8%
Other values (64) 15907
42.6%
Hangul
ValueCountFrequency (%)
브 3
 
3.3%
도 3
 
3.3%
점 3
 
3.3%
뉴 3
 
3.3%
시 3
 
3.3%
메 2
 
2.2%
장 2
 
2.2%
둑 2
 
2.2%
한 2
 
2.2%
야 2
 
2.2%
Other values (58) 65
72.2%

인근랜드마크명
Categorical

Distinct41
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
1354 
객사길
359 
전북특별자치도청도서관
245 
다가공원
232 
오송제
226 
Other values (36)
1061 

Length

Max length13
Median length4
Mean length4.6957147
Min length3

Unique

Unique8 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row객사길
3rd row객사길
4th row<NA>
5th row객사길

Common Values

ValueCountFrequency (%)
<NA> 1354
38.9%
객사길 359
 
10.3%
전북특별자치도청도서관 245
 
7.0%
다가공원 232
 
6.7%
오송제 226
 
6.5%
황강서원 192
 
5.5%
덕진공원 182
 
5.2%
전주대학교 박물관 107
 
3.1%
건지산 72
 
2.1%
약수암(전주) 62
 
1.8%
Other values (31) 446
 
12.8%

Length

2024-03-14T22:27:47.095689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1354
37.0%
객사길 359
 
9.8%
전북특별자치도청도서관 245
 
6.7%
다가공원 232
 
6.3%
오송제 226
 
6.2%
황강서원 192
 
5.3%
덕진공원 182
 
5.0%
박물관 146
 
4.0%
전주대학교 107
 
2.9%
기지제 81
 
2.2%
Other values (36) 532
 
14.6%

인근랜드마크위도
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)1.9%
Missing1354
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean35.830914
Minimum35.7675
Maximum35.87683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-03-14T22:27:47.470902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.7675
5-th percentile35.8122
Q135.81762
median35.82033
Q335.8475
95-th percentile35.85935
Maximum35.87683
Range0.10933
Interquartile range (IQR)0.02988

Descriptive statistics

Standard deviation0.019369851
Coefficient of variation (CV)0.00054059048
Kurtosis-0.48496845
Mean35.830914
Median Absolute Deviation (MAD)0.00871
Skewness0.47193152
Sum76069.03
Variance0.00037519112
MonotonicityNot monotonic
2024-03-14T22:27:47.904904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
35.81762 359
 
10.3%
35.82033 245
 
7.0%
35.8122 232
 
6.7%
35.85935 226
 
6.5%
35.82904 192
 
5.5%
35.8475 182
 
5.2%
35.81416 107
 
3.1%
35.8294 72
 
2.1%
35.84509 62
 
1.8%
35.84603 58
 
1.7%
Other values (30) 388
 
11.2%
(Missing) 1354
38.9%
ValueCountFrequency (%)
35.7675 3
 
0.1%
35.78282 5
 
0.1%
35.7869 17
0.5%
35.7926 1
 
< 0.1%
35.7976 1
 
< 0.1%
35.79995 7
 
0.2%
35.80116 12
0.3%
35.80133 21
0.6%
35.80426 17
0.5%
35.81002 4
 
0.1%
ValueCountFrequency (%)
35.87683 50
 
1.4%
35.87628 1
 
< 0.1%
35.86935 48
 
1.4%
35.86132 2
 
0.1%
35.85935 226
6.5%
35.85512 27
 
0.8%
35.84904 1
 
< 0.1%
35.84903 3
 
0.1%
35.8489 1
 
< 0.1%
35.84786 3
 
0.1%

인근랜드마크경도
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)1.8%
Missing1354
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean127.12081
Minimum127.0307
Maximum127.1875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-03-14T22:27:48.284652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0307
5-th percentile127.0709
Q1127.1088
median127.121
Q3127.1437
95-th percentile127.1584
Maximum127.1875
Range0.1568
Interquartile range (IQR)0.0349

Descriptive statistics

Standard deviation0.022843367
Coefficient of variation (CV)0.00017969809
Kurtosis0.43334336
Mean127.12081
Median Absolute Deviation (MAD)0.0134
Skewness-0.50764883
Sum269877.48
Variance0.00052181941
MonotonicityNot monotonic
2024-03-14T22:27:48.706266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
127.1437 359
 
10.3%
127.1088 245
 
7.0%
127.1198 232
 
6.7%
127.1255 226
 
6.5%
127.1031 192
 
5.5%
127.121 182
 
5.2%
127.0901 107
 
3.1%
127.1344 72
 
2.1%
127.1584 62
 
1.8%
127.0627 58
 
1.7%
Other values (29) 388
 
11.2%
(Missing) 1354
38.9%
ValueCountFrequency (%)
127.0307 1
 
< 0.1%
127.0555 1
 
< 0.1%
127.0627 58
1.7%
127.0645 23
 
0.7%
127.0709 48
1.4%
127.0897 21
 
0.6%
127.0901 107
3.1%
127.0934 12
 
0.3%
127.1002 3
 
0.1%
127.101 2
 
0.1%
ValueCountFrequency (%)
127.1875 1
 
< 0.1%
127.1745 18
 
0.5%
127.1728 1
 
< 0.1%
127.1687 19
 
0.5%
127.1592 1
 
< 0.1%
127.1587 7
 
0.2%
127.1584 62
1.8%
127.1535 4
 
0.1%
127.1527 3
 
0.1%
127.1498 1
 
< 0.1%

인근랜드마크와거리
Real number (ℝ)

MISSING 

Distinct1834
Distinct (%)86.4%
Missing1354
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean537.08862
Minimum0.926168
Maximum999.83447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-03-14T22:27:49.132118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.926168
5-th percentile83.135146
Q1340.93535
median545.7213
Q3734.72695
95-th percentile945.21148
Maximum999.83447
Range998.9083
Interquartile range (IQR)393.7916

Descriptive statistics

Standard deviation261.43982
Coefficient of variation (CV)0.48677222
Kurtosis-0.88355381
Mean537.08862
Median Absolute Deviation (MAD)197.58134
Skewness-0.13191093
Sum1140239.1
Variance68350.78
MonotonicityNot monotonic
2024-03-14T22:27:49.568271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
434.999598 15
 
0.4%
682.71969 13
 
0.4%
931.284609 8
 
0.2%
570.060395 7
 
0.2%
570.15251 6
 
0.2%
577.992882 6
 
0.2%
480.11856 5
 
0.1%
698.421284 5
 
0.1%
959.287696 5
 
0.1%
545.19268 4
 
0.1%
Other values (1824) 2049
58.9%
(Missing) 1354
38.9%
ValueCountFrequency (%)
0.926168 1
 
< 0.1%
0.996216 1
 
< 0.1%
4.198685 4
0.1%
4.295218 1
 
< 0.1%
12.270457 1
 
< 0.1%
17.454224 1
 
< 0.1%
22.031074 1
 
< 0.1%
22.37152 1
 
< 0.1%
23.807349 1
 
< 0.1%
24.599396 1
 
< 0.1%
ValueCountFrequency (%)
999.834466 1
< 0.1%
999.726187 2
0.1%
999.634784 1
< 0.1%
997.66466 1
< 0.1%
997.177578 1
< 0.1%
996.083887 1
< 0.1%
995.715854 1
< 0.1%
994.835744 1
< 0.1%
994.732391 1
< 0.1%
994.128702 1
< 0.1%

키오스크유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3413 
True
 
64
ValueCountFrequency (%)
False 3413
98.2%
True 64
 
1.8%
2024-03-14T22:27:49.913363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모바일페이먼트유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3365 
True
 
112
ValueCountFrequency (%)
False 3365
96.8%
True 112
 
3.2%
2024-03-14T22:27:50.182726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

스마트오더유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3365 
True
 
112
ValueCountFrequency (%)
False 3365
96.8%
True 112
 
3.2%
2024-03-14T22:27:50.448829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표메뉴명
Text

MISSING 

Distinct596
Distinct (%)93.6%
Missing2840
Missing (%)81.7%
Memory size27.3 KiB
2024-03-14T22:27:51.334640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length35
Mean length13.957614
Min length1

Characters and Unicode

Total characters8891
Distinct characters527
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

Unique577 ?
Unique (%)90.6%

Sample

1st row불고기피자, 고구마피자
2nd row아인슈페너, 복숭아송송 아이스티
3rd row참차한마리, 눈다랑어통모리, 뱃살시리즈한판
4th row돼지바 마카롱, 솔티 카라멜 마카롱, 티라미수 마카롱
5th row아메리카노, 카페라떼, 카푸치노, 더치커피
ValueCountFrequency (%)
아메리카노 60
 
4.0%
커피 20
 
1.3%
카페라떼 19
 
1.3%
삼겹살 14
 
0.9%
떡볶이 13
 
0.9%
김밥 10
 
0.7%
돈까스 10
 
0.7%
치킨 10
 
0.7%
마카롱 9
 
0.6%
스무디 9
 
0.6%
Other values (1028) 1343
88.5%
2024-03-14T22:27:52.771759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 995
 
11.2%
897
 
10.1%
이 192
 
2.2%
치 185
 
2.1%
카 165
 
1.9%
리 162
 
1.8%
스 143
 
1.6%
라 138
 
1.6%
아 115
 
1.3%
밥 108
 
1.2%
Other values (517) 5791
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6942
78.1%
Other Punctuation 1026
 
11.5%
Space Separator 897
 
10.1%
Decimal Number 12
 
0.1%
Uppercase Letter 6
 
0.1%
Lowercase Letter 6
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 192
 
2.8%
치 185
 
2.7%
카 165
 
2.4%
리 162
 
2.3%
스 143
 
2.1%
라 138
 
2.0%
아 115
 
1.7%
밥 108
 
1.6%
비 103
 
1.5%
기 100
 
1.4%
Other values (496) 5531
79.7%
Decimal Number
ValueCountFrequency (%)
2 2
16.7%
1 2
16.7%
4 2
16.7%
9 2
16.7%
3 2
16.7%
0 1
8.3%
7 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
a 1
16.7%
l 1
16.7%
j 1
16.7%
m 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 995
97.0%
/ 25
 
2.4%
& 4
 
0.4%
. 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
50.0%
A 3
50.0%
Space Separator
ValueCountFrequency (%)
897
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6942
78.1%
Common 1937
 
21.8%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 192
 
2.8%
치 185
 
2.7%
카 165
 
2.4%
리 162
 
2.3%
스 143
 
2.1%
라 138
 
2.0%
아 115
 
1.7%
밥 108
 
1.6%
비 103
 
1.5%
기 100
 
1.4%
Other values (496) 5531
79.7%
Common
ValueCountFrequency (%)
, 995
51.4%
897
46.3%
/ 25
 
1.3%
& 4
 
0.2%
. 2
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
4 2
 
0.1%
9 2
 
0.1%
3 2
 
0.1%
Other values (4) 4
 
0.2%
Latin
ValueCountFrequency (%)
L 3
25.0%
A 3
25.0%
o 2
16.7%
a 1
 
8.3%
l 1
 
8.3%
j 1
 
8.3%
m 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6942
78.1%
ASCII 1949
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 995
51.1%
897
46.0%
/ 25
 
1.3%
& 4
 
0.2%
L 3
 
0.2%
A 3
 
0.2%
. 2
 
0.1%
o 2
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
Other values (11) 14
 
0.7%
Hangul
ValueCountFrequency (%)
이 192
 
2.8%
치 185
 
2.7%
카 165
 
2.4%
리 162
 
2.3%
스 143
 
2.1%
라 138
 
2.0%
아 115
 
1.7%
밥 108
 
1.6%
비 103
 
1.5%
기 100
 
1.4%
Other values (496) 5531
79.7%

식당상태
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
운영중
2644 
신규
505 
미확인
 
235
폐업
 
93

Length

Max length3
Median length3
Mean length2.8280127
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미확인
2nd row운영중
3rd row운영중
4th row미확인
5th row운영중

Common Values

ValueCountFrequency (%)
운영중 2644
76.0%
신규 505
 
14.5%
미확인 235
 
6.8%
폐업 93
 
2.7%

Length

2024-03-14T22:27:53.195090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:27:53.527157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2644
76.0%
신규 505
 
14.5%
미확인 235
 
6.8%
폐업 93
 
2.7%

Sample

식당(ID)식당명지역명입식좌석수좌식좌석수주차가능여부와이파이제공여부놀이방유무반려동물입장가능여부다국어메뉴판제공여부화장실정보내용영업시간내용택배판매유무배리어프리유무배달서비스유무예약방식명온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리키오스크유무모바일페이먼트유무스마트오더유무대표메뉴명식당상태
01606피자애 송천점전북특별자치도 전주시120YYNNNN<NA>NNNN<NA><NA><NA><NA><NA><NA>NNN불고기피자, 고구마피자미확인
11681진미반점전북특별자치도 전주시16010YNNNYN매일 10:00~21:30NNNN레드테이블<NA>객사길35.81762127.1437126.816576NNN<NA>운영중
22691한국식당전북특별자치도 전주시2876NNNNYN매일 11:00~20:00NNNN레드테이블<NA>객사길35.81762127.143760.032507NNN<NA>운영중
32999비공식전북특별자치도 전주시00NNNNNN<NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>미확인
43101PNB풍년제과 본점전북특별자치도 전주시00NNNNYN매일 08:00~22:30NNYN레드테이블http://pnb본점.com/객사길35.81762127.1437118.41107NNN<NA>운영중
53103가람나주곰탕전북특별자치도 전주시520YNNNYN매일 11:00~24:00NNYN레드테이블<NA>건지산35.8294127.1344893.998932NNN<NA>운영중
64121태봉집전북특별자치도 전주시400NNNNYN<NA>NNNN레드테이블<NA>객사길35.81762127.1437201.41046NNN<NA>운영중
74124대성회관전북특별자치도 전주시3664NNNNYN매일 09:00~22:00NNNN레드테이블<NA>객사길35.81762127.1437143.393762NNN<NA>운영중
84465엘디아전북특별자치도 전주시00YNNNNN<NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>폐업
94995피자브릭전북특별자치도 전주시760YYYNYY매일 11:00~22:00, 평일 11:00~22:00NNY전화예약레드테이블http://makeus.net/33350객사길35.81762127.1437199.282596NNN<NA>운영중
식당(ID)식당명지역명입식좌석수좌식좌석수주차가능여부와이파이제공여부놀이방유무반려동물입장가능여부다국어메뉴판제공여부화장실정보내용영업시간내용택배판매유무배리어프리유무배달서비스유무예약방식명온라인예약정보내용홈페이지(URL)인근랜드마크명인근랜드마크위도인근랜드마크경도인근랜드마크와거리키오스크유무모바일페이먼트유무스마트오더유무대표메뉴명식당상태
3467970402한잔어때 가맥전북특별자치도 전주시00NNNNNN<NA>NNNN<NA><NA><NA><NA><NA><NA>NNN<NA>신규
3468970502다원밥상전북특별자치도 전주시00NNNNNN매일 11:30~21:00, 매일 14:00~17:00NNNN<NA><NA>객사길35.81762127.1437103.991191NNN<NA>신규
3469970671티엠씨(TMC)전북특별자치도 전주시00NNNNNN<NA>NNNN<NA><NA>전북특별자치도청도서관35.82033127.1088505.19913NNN<NA>신규
34709708891도씨맥주 우아점전북특별자치도 전주시00NNNNNN<NA>NNNN<NA><NA>약수암(전주)35.84509127.1584382.656353NNN<NA>신규
3471971250피자컴퍼니 효자점전북특별자치도 전주시00NNNNNN매일 11:00~23:30NNYN<NA><NA>다가공원35.8122127.1198805.387683NNN<NA>신규
3472971407동쿡전북특별자치도 전주시00NNNNNN<NA>NNNN<NA><NA>황강서원35.82904127.1031977.705929NNN<NA>신규
3473971435윤이네낙곱새전북특별자치도 전주시00YNNNNY매일 11:00~23:00, 11:00~23:00 14:30~16:30NNN전화예약<NA><NA>조경단35.84538127.1207950.021102NNN<NA>신규
3474971476만계치킨 완산구점전북특별자치도 전주시00NNNNNN매일 12:00~02:00NNYN<NA><NA><NA><NA><NA><NA>NNN<NA>신규
3475971502일미리 금계찜닭 효자효천점전북특별자치도 전주시00NYNNNN<NA>NNYN<NA><NA>전주대학교 박물관35.81416127.0901610.424044NNN<NA>신규
3476971513피슈마라홍탕 효자점전북특별자치도 전주시00YNNNNY평일 11:00~22:00, 주말 11:00~22:00, 공휴일 11:00~22:00NNYN<NA><NA>전북특별자치도청도서관35.82033127.1088449.861873NNN<NA>신규