Overview

Dataset statistics

Number of variables5
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory42.8 B

Variable types

Categorical3
Text2

Dataset

Description공공데이터 제공 신청접수에 따른 커피식품제조가공업 데이터로 업종,업소명,소재지(도로명),식품의종료, 식품의유형 항목을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15114232/fileData.do

Alerts

업종 has constant value ""Constant
식품의종류 is highly overall correlated with 식품의유형High correlation
식품의유형 is highly overall correlated with 식품의종류High correlation
식품의종류 is highly imbalanced (70.6%)Imbalance
식품의유형 is highly imbalanced (70.6%)Imbalance
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:08:56.918115
Analysis finished2024-04-20 18:08:57.548729
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
식품제조가공업
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 45
100.0%

Length

2024-04-21T03:08:57.651311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:08:57.817110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 45
100.0%

업소명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-04-21T03:08:58.528864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length7.6444444
Min length2

Characters and Unicode

Total characters344
Distinct characters146
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row주식회사우진식품
2nd row사랑의일터
3rd row(주)웰빙엘에스
4th row쉘리스커피
5th row커피커퍼
ValueCountFrequency (%)
주식회사 2
 
3.6%
주식회사베라커피아울렛 1
 
1.8%
커피 1
 
1.8%
블랙포레스트커피컴퍼니 1
 
1.8%
정커피 1
 
1.8%
강릉 1
 
1.8%
로스팅 1
 
1.8%
랩(lab 1
 
1.8%
두리기바이오텍 1
 
1.8%
게락로스터리 1
 
1.8%
Other values (44) 44
80.0%
2024-04-21T03:08:59.565043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
피 23
 
6.7%
커 22
 
6.4%
스 13
 
3.8%
주 10
 
2.9%
10
 
2.9%
사 10
 
2.9%
( 9
 
2.6%
) 9
 
2.6%
로 8
 
2.3%
리 7
 
2.0%
Other values (136) 223
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
86.0%
Uppercase Letter 15
 
4.4%
Space Separator 10
 
2.9%
Open Punctuation 9
 
2.6%
Close Punctuation 9
 
2.6%
Lowercase Letter 5
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
피 23
 
7.8%
커 22
 
7.4%
스 13
 
4.4%
주 10
 
3.4%
사 10
 
3.4%
로 8
 
2.7%
리 7
 
2.4%
라 6
 
2.0%
식 6
 
2.0%
회 6
 
2.0%
Other values (116) 185
62.5%
Uppercase Letter
ValueCountFrequency (%)
F 2
13.3%
A 2
13.3%
E 2
13.3%
C 1
6.7%
G 1
6.7%
O 1
6.7%
B 1
6.7%
L 1
6.7%
R 1
6.7%
J 1
6.7%
Other values (2) 2
13.3%
Lowercase Letter
ValueCountFrequency (%)
l 1
20.0%
e 1
20.0%
i 1
20.0%
n 1
20.0%
a 1
20.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
86.0%
Common 28
 
8.1%
Latin 20
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
피 23
 
7.8%
커 22
 
7.4%
스 13
 
4.4%
주 10
 
3.4%
사 10
 
3.4%
로 8
 
2.7%
리 7
 
2.4%
라 6
 
2.0%
식 6
 
2.0%
회 6
 
2.0%
Other values (116) 185
62.5%
Latin
ValueCountFrequency (%)
F 2
 
10.0%
A 2
 
10.0%
E 2
 
10.0%
C 1
 
5.0%
G 1
 
5.0%
O 1
 
5.0%
B 1
 
5.0%
L 1
 
5.0%
R 1
 
5.0%
J 1
 
5.0%
Other values (7) 7
35.0%
Common
ValueCountFrequency (%)
10
35.7%
( 9
32.1%
) 9
32.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
86.0%
ASCII 48
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
피 23
 
7.8%
커 22
 
7.4%
스 13
 
4.4%
주 10
 
3.4%
사 10
 
3.4%
로 8
 
2.7%
리 7
 
2.4%
라 6
 
2.0%
식 6
 
2.0%
회 6
 
2.0%
Other values (116) 185
62.5%
ASCII
ValueCountFrequency (%)
10
20.8%
( 9
18.8%
) 9
18.8%
F 2
 
4.2%
A 2
 
4.2%
E 2
 
4.2%
C 1
 
2.1%
G 1
 
2.1%
O 1
 
2.1%
B 1
 
2.1%
Other values (10) 10
20.8%

소재지(도로명)
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-04-21T03:09:00.563930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length25.088889
Min length19

Characters and Unicode

Total characters1129
Distinct characters105
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

Unique45 ?
Unique (%)100.0%

Sample

1st row강원도 강릉시 주문진읍 공시내길 73-3
2nd row강원도 강릉시 사천면 방동길 43-2
3rd row강원도 강릉시 과학단지로 24-19 (대전동)
4th row강원도 강릉시 사천면 진리해변길 95
5th row강원도 강릉시 해안로 341 (강문동)
ValueCountFrequency (%)
강원도 45
 
17.9%
강릉시 45
 
17.9%
1층 6
 
2.4%
포남동 6
 
2.4%
2층 5
 
2.0%
성산면 5
 
2.0%
대전동 5
 
2.0%
해안로 3
 
1.2%
교동 3
 
1.2%
율곡로 3
 
1.2%
Other values (108) 126
50.0%
2024-04-21T03:09:01.846100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
18.3%
강 101
 
8.9%
릉 48
 
4.3%
시 48
 
4.3%
원 47
 
4.2%
도 46
 
4.1%
2 44
 
3.9%
1 42
 
3.7%
동 35
 
3.1%
길 30
 
2.7%
Other values (95) 481
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
56.4%
Space Separator 207
 
18.3%
Decimal Number 193
 
17.1%
Close Punctuation 29
 
2.6%
Open Punctuation 29
 
2.6%
Other Punctuation 20
 
1.8%
Dash Punctuation 13
 
1.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 101
15.9%
릉 48
 
7.5%
시 48
 
7.5%
원 47
 
7.4%
도 46
 
7.2%
동 35
 
5.5%
길 30
 
4.7%
로 27
 
4.2%
면 14
 
2.2%
번 12
 
1.9%
Other values (79) 229
35.9%
Decimal Number
ValueCountFrequency (%)
2 44
22.8%
1 42
21.8%
4 27
14.0%
3 17
 
8.8%
9 15
 
7.8%
0 12
 
6.2%
7 11
 
5.7%
6 10
 
5.2%
5 9
 
4.7%
8 6
 
3.1%
Space Separator
ValueCountFrequency (%)
207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
56.4%
Common 491
43.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 101
15.9%
릉 48
 
7.5%
시 48
 
7.5%
원 47
 
7.4%
도 46
 
7.2%
동 35
 
5.5%
길 30
 
4.7%
로 27
 
4.2%
면 14
 
2.2%
번 12
 
1.9%
Other values (79) 229
35.9%
Common
ValueCountFrequency (%)
207
42.2%
2 44
 
9.0%
1 42
 
8.6%
) 29
 
5.9%
( 29
 
5.9%
4 27
 
5.5%
, 20
 
4.1%
3 17
 
3.5%
9 15
 
3.1%
- 13
 
2.6%
Other values (5) 48
 
9.8%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
56.4%
ASCII 492
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
42.1%
2 44
 
8.9%
1 42
 
8.5%
) 29
 
5.9%
( 29
 
5.9%
4 27
 
5.5%
, 20
 
4.1%
3 17
 
3.5%
9 15
 
3.0%
- 13
 
2.6%
Other values (6) 49
 
10.0%
Hangul
ValueCountFrequency (%)
강 101
15.9%
릉 48
 
7.5%
시 48
 
7.5%
원 47
 
7.4%
도 46
 
7.2%
동 35
 
5.5%
길 30
 
4.7%
로 27
 
4.2%
면 14
 
2.2%
번 12
 
1.9%
Other values (79) 229
35.9%

식품의종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size488.0 B
음료류
40 
음료류 + 수산가공식품류
 
1
음료류 + 농산가공식품류
 
1
특수용도식품 + 당류 + 음료류 + 특수영양식품 + 조미식품 + 농산가공식품류 + 기타식품류
 
1
커피원두 + 음료류
 
1

Length

Max length59
Median length5
Mean length7.2888889
Min length5

Unique

Unique5 ?
Unique (%)11.1%

Sample

1st row 음료류 + 수산가공식품류
2nd row 음료류 + 농산가공식품류
3rd row 특수용도식품 + 당류 + 음료류 + 특수영양식품 + 조미식품 + 농산가공식품류 + 기타식품류
4th row 음료류
5th row 음료류

Common Values

ValueCountFrequency (%)
음료류 40
88.9%
음료류 + 수산가공식품류 1
 
2.2%
음료류 + 농산가공식품류 1
 
2.2%
특수용도식품 + 당류 + 음료류 + 특수영양식품 + 조미식품 + 농산가공식품류 + 기타식품류 1
 
2.2%
커피원두 + 음료류 1
 
2.2%
음료류 + 조미식품 + 농산가공식품류 1
 
2.2%

Length

2024-04-21T03:09:02.280063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:09:02.475068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음료류 45
67.2%
11
 
16.4%
농산가공식품류 3
 
4.5%
조미식품 2
 
3.0%
수산가공식품류 1
 
1.5%
특수용도식품 1
 
1.5%
당류 1
 
1.5%
특수영양식품 1
 
1.5%
기타식품류 1
 
1.5%
커피원두 1
 
1.5%

식품의유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size488.0 B
커피
40 
커피 + 조미건어포 + 건어포
 
1
침출차 + 커피
 
1
커피 + 곡류가공품 + 두류가공품 + 기타 농산가공품 + 기타가공품
 
1
액상차 + 커피
 
1

Length

Max length43
Median length4
Mean length6.1555556
Min length4

Unique

Unique5 ?
Unique (%)11.1%

Sample

1st row 커피 + 조미건어포 + 건어포
2nd row 침출차 + 커피
3rd row 커피 + 곡류가공품 + 두류가공품 + 기타 농산가공품 + 기타가공품
4th row 커피
5th row 커피

Common Values

ValueCountFrequency (%)
커피 40
88.9%
커피 + 조미건어포 + 건어포 1
 
2.2%
침출차 + 커피 1
 
2.2%
커피 + 곡류가공품 + 두류가공품 + 기타 농산가공품 + 기타가공품 1
 
2.2%
액상차 + 커피 1
 
2.2%
커피 + 복합조미식품 + 곡류가공품 + 두류가공품 1
 
2.2%

Length

2024-04-21T03:09:02.706225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:09:02.912639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
커피 45
66.2%
11
 
16.2%
곡류가공품 2
 
2.9%
두류가공품 2
 
2.9%
조미건어포 1
 
1.5%
건어포 1
 
1.5%
침출차 1
 
1.5%
기타 1
 
1.5%
농산가공품 1
 
1.5%
기타가공품 1
 
1.5%
Other values (2) 2
 
2.9%

Correlations

2024-04-21T03:09:03.064669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)식품의종류식품의유형
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
식품의종류1.0001.0001.0000.994
식품의유형1.0001.0000.9941.000
2024-04-21T03:09:03.314642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식품의유형식품의종류
식품의유형1.0000.880
식품의종류0.8801.000
2024-04-21T03:09:03.454817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식품의종류식품의유형
식품의종류1.0000.880
식품의유형0.8801.000

Missing values

2024-04-21T03:08:57.318042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:08:57.485419image/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

업종업소명소재지(도로명)식품의종류식품의유형
0식품제조가공업주식회사우진식품강원도 강릉시 주문진읍 공시내길 73-3음료류 + 수산가공식품류커피 + 조미건어포 + 건어포
1식품제조가공업사랑의일터강원도 강릉시 사천면 방동길 43-2음료류 + 농산가공식품류침출차 + 커피
2식품제조가공업(주)웰빙엘에스강원도 강릉시 과학단지로 24-19 (대전동)특수용도식품 + 당류 + 음료류 + 특수영양식품 + 조미식품 + 농산가공식품류 + 기타식품류커피 + 곡류가공품 + 두류가공품 + 기타 농산가공품 + 기타가공품
3식품제조가공업쉘리스커피강원도 강릉시 사천면 진리해변길 95음료류커피
4식품제조가공업커피커퍼강원도 강릉시 해안로 341 (강문동)음료류커피
5식품제조가공업커피앤피플강원도 강릉시 성산면 삼왕길 193-22음료류커피
6식품제조가공업보헤미안커피점강원도 강릉시 연곡면 홍질목길 55-11음료류커피
7식품제조가공업크레마코스타강원도 강릉시 대송길46번길 14-2 (대전동)음료류커피
8식품제조가공업(합명회사)산토리니커피강원도 강릉시 경강로 2667 (견소동)음료류커피
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