Overview

Dataset statistics

Number of variables7
Number of observations110
Missing cells4
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory59.2 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description2013년 국내 외식기업의 해외진출 현황 정보 제공
Author농림축산식품부
URLhttps://www.data.go.kr/data/15083357/fileData.do

Alerts

순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
업체명 has 4 (3.6%) missing valuesMissing
순번 has unique valuesUnique
브랜드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:33:42.472596
Analysis finished2023-12-12 00:33:43.649612
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

MISSING 

Distinct95
Distinct (%)89.6%
Missing4
Missing (%)3.6%
Memory size1012.0 B
2023-12-12T09:33:43.810290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.7358491
Min length2

Characters and Unicode

Total characters608
Distinct characters205
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)85.8%

Sample

1st rowCJ푸드빌
2nd rowCJ푸드빌
3rd rowCJ푸드빌
4th rowCJ푸드빌
5th rowCJ푸드빌
ValueCountFrequency (%)
㈜더본코리아 6
 
5.7%
cj푸드빌 5
 
4.7%
㈜정성본 2
 
1.9%
㈜대대에프씨 2
 
1.9%
정명라인 1
 
0.9%
㈜로띠번코리아 1
 
0.9%
㈜띠아모코리아 1
 
0.9%
㈜델리스 1
 
0.9%
㈜농협목우촌 1
 
0.9%
㈜놀이터푸드시스템 1
 
0.9%
Other values (85) 85
80.2%
2023-12-12T09:33:44.120609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 58
 
9.5%
스 26
 
4.3%
리 21
 
3.5%
이 16
 
2.6%
푸 15
 
2.5%
드 15
 
2.5%
아 14
 
2.3%
에 11
 
1.8%
본 11
 
1.8%
주 10
 
1.6%
Other values (195) 411
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
80.6%
Other Symbol 58
 
9.5%
Uppercase Letter 25
 
4.1%
Lowercase Letter 13
 
2.1%
Close Punctuation 9
 
1.5%
Open Punctuation 9
 
1.5%
Other Punctuation 2
 
0.3%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 26
 
5.3%
리 21
 
4.3%
이 16
 
3.3%
푸 15
 
3.1%
드 15
 
3.1%
아 14
 
2.9%
에 11
 
2.2%
본 11
 
2.2%
주 10
 
2.0%
프 9
 
1.8%
Other values (168) 342
69.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
15.4%
o 2
15.4%
c 1
7.7%
l 1
7.7%
e 1
7.7%
d 1
7.7%
f 1
7.7%
t 1
7.7%
n 1
7.7%
u 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
J 6
24.0%
C 5
20.0%
B 3
12.0%
S 3
12.0%
F 2
 
8.0%
G 2
 
8.0%
P 1
 
4.0%
K 1
 
4.0%
N 1
 
4.0%
D 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
4 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 548
90.1%
Latin 38
 
6.2%
Common 22
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 58
 
10.6%
스 26
 
4.7%
리 21
 
3.8%
이 16
 
2.9%
푸 15
 
2.7%
드 15
 
2.7%
아 14
 
2.6%
에 11
 
2.0%
본 11
 
2.0%
주 10
 
1.8%
Other values (169) 351
64.1%
Latin
ValueCountFrequency (%)
J 6
15.8%
C 5
13.2%
B 3
 
7.9%
S 3
 
7.9%
F 2
 
5.3%
a 2
 
5.3%
o 2
 
5.3%
G 2
 
5.3%
c 1
 
2.6%
l 1
 
2.6%
Other values (11) 11
28.9%
Common
ValueCountFrequency (%)
) 9
40.9%
( 9
40.9%
& 2
 
9.1%
5 1
 
4.5%
4 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
80.6%
ASCII 60
 
9.9%
None 58
 
9.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 58
100.0%
Hangul
ValueCountFrequency (%)
스 26
 
5.3%
리 21
 
4.3%
이 16
 
3.3%
푸 15
 
3.1%
드 15
 
3.1%
아 14
 
2.9%
에 11
 
2.2%
본 11
 
2.2%
주 10
 
2.0%
프 9
 
1.8%
Other values (168) 342
69.8%
ASCII
ValueCountFrequency (%)
) 9
15.0%
( 9
15.0%
J 6
 
10.0%
C 5
 
8.3%
B 3
 
5.0%
S 3
 
5.0%
F 2
 
3.3%
& 2
 
3.3%
a 2
 
3.3%
o 2
 
3.3%
Other values (16) 17
28.3%

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T09:33:44.271348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2023-12-12T09:33:44.411026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

브랜드
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T09:33:44.722968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.7363636
Min length2

Characters and Unicode

Total characters521
Distinct characters240
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st row비비고
2nd row뚜레쥬르
3rd rowCJ푸드월드
4th row빕스
5th row투썸플레이스
ValueCountFrequency (%)
비비고 1
 
0.9%
카페베네 1
 
0.9%
또래오래치킨 1
 
0.9%
노리터 1
 
0.9%
치킨퐁 1
 
0.9%
가르텐비어 1
 
0.9%
꿀삐닭강정 1
 
0.9%
델리앤젤라또 1
 
0.9%
본스치킨 1
 
0.9%
엘노핌피자 1
 
0.9%
Other values (100) 100
90.9%
2023-12-12T09:33:45.203008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 19
 
3.6%
리 17
 
3.3%
피 12
 
2.3%
치 10
 
1.9%
비 9
 
1.7%
킨 9
 
1.7%
닭 9
 
1.7%
가 8
 
1.5%
자 7
 
1.3%
본 7
 
1.3%
Other values (230) 414
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
95.4%
Uppercase Letter 9
 
1.7%
Lowercase Letter 7
 
1.3%
Decimal Number 6
 
1.2%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 19
 
3.8%
리 17
 
3.4%
피 12
 
2.4%
치 10
 
2.0%
비 9
 
1.8%
킨 9
 
1.8%
닭 9
 
1.8%
가 8
 
1.6%
자 7
 
1.4%
본 7
 
1.4%
Other values (213) 390
78.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
A 1
 
11.1%
L 1
 
11.1%
N 1
 
11.1%
Q 1
 
11.1%
C 1
 
11.1%
J 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
s 2
28.6%
k 1
 
14.3%
t 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
4 2
33.3%
5 1
16.7%
1 1
16.7%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
, 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
95.4%
Latin 16
 
3.1%
Common 8
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 19
 
3.8%
리 17
 
3.4%
피 12
 
2.4%
치 10
 
2.0%
비 9
 
1.8%
킨 9
 
1.8%
닭 9
 
1.8%
가 8
 
1.6%
자 7
 
1.4%
본 7
 
1.4%
Other values (213) 390
78.5%
Latin
ValueCountFrequency (%)
e 3
18.8%
B 3
18.8%
s 2
12.5%
A 1
 
6.2%
L 1
 
6.2%
N 1
 
6.2%
Q 1
 
6.2%
k 1
 
6.2%
t 1
 
6.2%
C 1
 
6.2%
Common
ValueCountFrequency (%)
0 2
25.0%
4 2
25.0%
' 1
12.5%
5 1
12.5%
1 1
12.5%
, 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
95.4%
ASCII 24
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 19
 
3.8%
리 17
 
3.4%
피 12
 
2.4%
치 10
 
2.0%
비 9
 
1.8%
킨 9
 
1.8%
닭 9
 
1.8%
가 8
 
1.6%
자 7
 
1.4%
본 7
 
1.4%
Other values (213) 390
78.5%
ASCII
ValueCountFrequency (%)
e 3
12.5%
B 3
12.5%
0 2
 
8.3%
4 2
 
8.3%
s 2
 
8.3%
A 1
 
4.2%
L 1
 
4.2%
' 1
 
4.2%
N 1
 
4.2%
5 1
 
4.2%
Other values (7) 7
29.2%

주요메뉴
Text

Distinct71
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T09:33:45.449656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.6818182
Min length1

Characters and Unicode

Total characters405
Distinct characters132
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)51.8%

Sample

1st row한식,면요리
2nd row제빵
3rd row복합외식
4th row뷔페
5th row커피
ValueCountFrequency (%)
치킨 14
 
11.0%
커피 14
 
11.0%
디저트 5
 
3.9%
피자 4
 
3.1%
한식 4
 
3.1%
삼겹살 4
 
3.1%
죽 3
 
2.4%
닭갈비 3
 
2.4%
분식 3
 
2.4%
젤라또 3
 
2.4%
Other values (65) 70
55.1%
2023-12-12T09:33:45.817563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 22
 
5.4%
22
 
5.4%
피 19
 
4.7%
치 17
 
4.2%
커 15
 
3.7%
킨 14
 
3.5%
식 12
 
3.0%
닭 9
 
2.2%
비 8
 
2.0%
갈 8
 
2.0%
Other values (122) 259
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
88.4%
Space Separator 25
 
6.2%
Other Punctuation 22
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
피 19
 
5.3%
치 17
 
4.7%
커 15
 
4.2%
킨 14
 
3.9%
식 12
 
3.4%
닭 9
 
2.5%
비 8
 
2.2%
갈 8
 
2.2%
한 7
 
2.0%
트 7
 
2.0%
Other values (119) 242
67.6%
Space Separator
ValueCountFrequency (%)
22
88.0%
　 3
 
12.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
88.4%
Common 47
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
피 19
 
5.3%
치 17
 
4.7%
커 15
 
4.2%
킨 14
 
3.9%
식 12
 
3.4%
닭 9
 
2.5%
비 8
 
2.2%
갈 8
 
2.2%
한 7
 
2.0%
트 7
 
2.0%
Other values (119) 242
67.6%
Common
ValueCountFrequency (%)
, 22
46.8%
22
46.8%
　 3
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
88.4%
ASCII 44
 
10.9%
None 3
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 22
50.0%
22
50.0%
Hangul
ValueCountFrequency (%)
피 19
 
5.3%
치 17
 
4.7%
커 15
 
4.2%
킨 14
 
3.9%
식 12
 
3.4%
닭 9
 
2.5%
비 8
 
2.2%
갈 8
 
2.2%
한 7
 
2.0%
트 7
 
2.0%
Other values (119) 242
67.6%
None
ValueCountFrequency (%)
　 3
100.0%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
비한식
60 
한식
50 

Length

Max length3
Median length3
Mean length2.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한식
2nd row비한식
3rd row비한식
4th row비한식
5th row비한식

Common Values

ValueCountFrequency (%)
비한식 60
54.5%
한식 50
45.5%

Length

2023-12-12T09:33:45.980788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:33:46.063374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비한식 60
54.5%
한식 50
45.5%

진출국가
Text

Distinct83
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T09:33:46.323456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length102
Mean length18.690909
Min length5

Characters and Unicode

Total characters2056
Distinct characters100
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)67.3%

Sample

1st row미국(4), 베트남(1), 싱가포르(3), 영국(1), 일본(7), 중국(6)
2nd row말레이시아(3), 미국(23), 베트남(25), 인도네시아(9), 중국(25), 캄보디아(3), 필리핀(9)
3rd row중국(1)
4th row중국(1)
5th row중국(6)
ValueCountFrequency (%)
중국(1 23
 
8.0%
미국(1 15
 
5.2%
인도네시아(1 12
 
4.2%
베트남(1 12
 
4.2%
중국(3 11
 
3.8%
일본(1 11
 
3.8%
싱가포르(1 8
 
2.8%
중국(2 8
 
2.8%
중국(5 6
 
2.1%
말레이시아(1 6
 
2.1%
Other values (119) 174
60.8%
2023-12-12T09:33:46.745636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 284
13.8%
) 284
13.8%
176
 
8.6%
, 174
 
8.5%
1 157
 
7.6%
국 123
 
6.0%
중 73
 
3.6%
아 46
 
2.2%
2 43
 
2.1%
미 38
 
1.8%
Other values (90) 658
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 803
39.1%
Decimal Number 326
15.9%
Open Punctuation 284
 
13.8%
Close Punctuation 284
 
13.8%
Space Separator 176
 
8.6%
Other Punctuation 174
 
8.5%
Uppercase Letter 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 123
 
15.3%
중 73
 
9.1%
아 46
 
5.7%
미 38
 
4.7%
시 36
 
4.5%
도 27
 
3.4%
인 26
 
3.2%
네 23
 
2.9%
르 22
 
2.7%
트 22
 
2.7%
Other values (73) 367
45.7%
Decimal Number
ValueCountFrequency (%)
1 157
48.2%
2 43
 
13.2%
3 34
 
10.4%
5 28
 
8.6%
4 22
 
6.7%
0 15
 
4.6%
6 10
 
3.1%
7 9
 
2.8%
9 4
 
1.2%
8 4
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
U 3
33.3%
E 3
33.3%
A 3
33.3%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 284
100.0%
Space Separator
ValueCountFrequency (%)
176
100.0%
Other Punctuation
ValueCountFrequency (%)
, 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1244
60.5%
Hangul 803
39.1%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 123
 
15.3%
중 73
 
9.1%
아 46
 
5.7%
미 38
 
4.7%
시 36
 
4.5%
도 27
 
3.4%
인 26
 
3.2%
네 23
 
2.9%
르 22
 
2.7%
트 22
 
2.7%
Other values (73) 367
45.7%
Common
ValueCountFrequency (%)
( 284
22.8%
) 284
22.8%
176
14.1%
, 174
14.0%
1 157
12.6%
2 43
 
3.5%
3 34
 
2.7%
5 28
 
2.3%
4 22
 
1.8%
0 15
 
1.2%
Other values (4) 27
 
2.2%
Latin
ValueCountFrequency (%)
U 3
33.3%
E 3
33.3%
A 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1253
60.9%
Hangul 803
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 284
22.7%
) 284
22.7%
176
14.0%
, 174
13.9%
1 157
12.5%
2 43
 
3.4%
3 34
 
2.7%
5 28
 
2.2%
4 22
 
1.8%
0 15
 
1.2%
Other values (7) 36
 
2.9%
Hangul
ValueCountFrequency (%)
국 123
 
15.3%
중 73
 
9.1%
아 46
 
5.7%
미 38
 
4.7%
시 36
 
4.5%
도 27
 
3.4%
인 26
 
3.2%
네 23
 
2.9%
르 22
 
2.7%
트 22
 
2.7%
Other values (73) 367
45.7%

총점포수
Real number (ℝ)

Distinct30
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.7
Minimum1
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T09:33:46.870099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile156.7
Maximum400
Range399
Interquartile range (IQR)7

Descriptive statistics

Standard deviation70.74629
Coefficient of variation (CV)2.8642223
Kurtosis16.920482
Mean24.7
Median Absolute Deviation (MAD)2.5
Skewness4.0914182
Sum2717
Variance5005.0376
MonotonicityNot monotonic
2023-12-12T09:33:47.243948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2 21
19.1%
1 20
18.2%
3 10
9.1%
5 8
 
7.3%
6 8
 
7.3%
4 8
 
7.3%
15 4
 
3.6%
8 3
 
2.7%
7 3
 
2.7%
9 2
 
1.8%
Other values (20) 23
20.9%
ValueCountFrequency (%)
1 20
18.2%
2 21
19.1%
3 10
9.1%
4 8
 
7.3%
5 8
 
7.3%
6 8
 
7.3%
7 3
 
2.7%
8 3
 
2.7%
9 2
 
1.8%
10 2
 
1.8%
ValueCountFrequency (%)
400 1
0.9%
381 1
0.9%
351 1
0.9%
251 1
0.9%
205 1
0.9%
172 1
0.9%
138 1
0.9%
106 1
0.9%
97 1
0.9%
60 1
0.9%

Interactions

2023-12-12T09:33:43.319912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:33:43.183945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:33:43.390279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:33:43.245235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:33:47.344144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명순번주요메뉴구분진출국가총점포수
업체명1.0000.9890.8930.4190.9870.000
순번0.9891.0000.6220.9840.4030.000
주요메뉴0.8930.6221.0001.0000.0000.000
구분0.4190.9841.0001.0000.0000.107
진출국가0.9870.4030.0000.0001.0001.000
총점포수0.0000.0000.0000.1071.0001.000
2023-12-12T09:33:47.434106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총점포수구분
순번1.0000.0840.855
총점포수0.0841.0000.100
구분0.8550.1001.000

Missing values

2023-12-12T09:33:43.497899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:33:43.607494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업체명순번브랜드주요메뉴구분진출국가총점포수
0CJ푸드빌1비비고한식,면요리한식미국(4), 베트남(1), 싱가포르(3), 영국(1), 일본(7), 중국(6)22
1CJ푸드빌2뚜레쥬르제빵비한식말레이시아(3), 미국(23), 베트남(25), 인도네시아(9), 중국(25), 캄보디아(3), 필리핀(9)97
2CJ푸드빌3CJ푸드월드복합외식비한식중국(1)1
3CJ푸드빌4빕스뷔페비한식중국(1)1
4CJ푸드빌5투썸플레이스커피비한식중국(6)6
5㈜대대에프씨6꿀닭닭갈비한식중국(7), 싱가포르(3)10
6㈜대대에프씨7바비큐보스치킨치킨비한식싱가포르(1), 인도네시아(1), 중국(17)19
7㈜정성본8애강산한식한식중국(3)3
8㈜정성본9만커피커피, 디저트비한식중국(60)60
9㈜더본코리아10소본가고기한식중국(4)4
업체명순번브랜드주요메뉴구분진출국가총점포수
100㈜탐앤탐스101탐앤탐스커피, 디저트비한식미국(10), 태국(10), 호주(1)21
101㈜파리크라상102파리바게뜨제빵비한식미국(30), 베트남(14), 싱가포르(3), 중국(125)172
102㈜페리카나103페리카나치킨비한식말레이시아(1), 몽골(1)2
103㈜푸드넷시스템104토스피아커피비한식베트남(1), 미국(1), 인도네시아(1)3
104㈜혜인식품105네네치킨치킨비한식싱가포르(2)2
105㈜후스타일106요거베리요거트 아이스크림비한식UAE(3), 코스타리카 (1), 미국(4), 뉴질랜드(1), 호주(4), 베네주엘라(1), 볼리비아(2), 파라과이(3), 콜럼비아(1), 싱가포르(1), 파나마(1), 인도(2), 나이지리아(1)25
106크라제인터네셔날107크라제버거수제버거비한식미국(2), 싱가포르(2), 홍콩(2)6
107한국미스터피자108미스터피자피자비한식미국(2), 베트남(2), 중국(24)28
108한스델리109한스델리패밀리레스토랑비한식중국(3)3
109할리스에프앤비110할리스커피커피, 디저트비한식중국(9), 페루(2), 태국(1), 필리핀(2)14