Overview

Dataset statistics

Number of variables7
Number of observations65
Missing cells35
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory59.0 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description충청북도 내 농식품 가공 사업장의 (번호, 지역, 사업장명, 상품명, 주소, 연락처, 홈페이지)의 항목에 대한 파일입니다.
Author충청북도
URLhttps://www.data.go.kr/data/15067211/fileData.do

Alerts

번호 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 번호High correlation
연락처 has 17 (26.2%) missing valuesMissing
홈페이지 has 18 (27.7%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:25:42.294229
Analysis finished2023-12-12 22:25:43.144663
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T07:25:43.224885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-13T07:25:43.366085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

지역
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
청주
15 
음성
8 
보은
7 
옥천
7 
영동
6 
Other values (6)
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청주 15
23.1%
음성 8
12.3%
보은 7
10.8%
옥천 7
10.8%
영동 6
 
9.2%
충주 5
 
7.7%
진천 5
 
7.7%
단양 4
 
6.2%
제천 3
 
4.6%
증평 3
 
4.6%

Length

2023-12-13T07:25:43.496628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청주 15
23.1%
음성 8
12.3%
보은 7
10.8%
옥천 7
10.8%
영동 6
 
9.2%
충주 5
 
7.7%
진천 5
 
7.7%
단양 4
 
6.2%
제천 3
 
4.6%
증평 3
 
4.6%

사업장명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T07:25:43.706332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.3538462
Min length2

Characters and Unicode

Total characters413
Distinct characters150
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row산성것대메주
2nd row(농)장희
3rd row농업회사법인 황골(주)
4th row두향(콩향기)
5th row더불어세상(영)
ValueCountFrequency (%)
농업회사법인 3
 
4.4%
산성것대메주 1
 
1.5%
황토방메주 1
 
1.5%
한복녀한과 1
 
1.5%
장익는마을 1
 
1.5%
달꽃농원 1
 
1.5%
㈜청정심 1
 
1.5%
선돌농원 1
 
1.5%
감골도원 1
 
1.5%
수정산농원 1
 
1.5%
Other values (56) 56
82.4%
2023-12-13T07:25:44.049594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 29
 
7.0%
인 15
 
3.6%
사 11
 
2.7%
원 11
 
2.7%
( 11
 
2.7%
) 11
 
2.7%
영 11
 
2.7%
법 11
 
2.7%
산 10
 
2.4%
주 9
 
2.2%
Other values (140) 284
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
93.0%
Open Punctuation 11
 
2.7%
Close Punctuation 11
 
2.7%
Other Symbol 4
 
1.0%
Space Separator 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 29
 
7.6%
인 15
 
3.9%
사 11
 
2.9%
원 11
 
2.9%
영 11
 
2.9%
법 11
 
2.9%
산 10
 
2.6%
주 9
 
2.3%
한 8
 
2.1%
조 7
 
1.8%
Other values (136) 262
68.2%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
93.9%
Common 25
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 29
 
7.5%
인 15
 
3.9%
사 11
 
2.8%
원 11
 
2.8%
영 11
 
2.8%
법 11
 
2.8%
산 10
 
2.6%
주 9
 
2.3%
한 8
 
2.1%
조 7
 
1.8%
Other values (137) 266
68.6%
Common
ValueCountFrequency (%)
( 11
44.0%
) 11
44.0%
3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
93.0%
ASCII 25
 
6.1%
None 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 29
 
7.6%
인 15
 
3.9%
사 11
 
2.9%
원 11
 
2.9%
영 11
 
2.9%
법 11
 
2.9%
산 10
 
2.6%
주 9
 
2.3%
한 8
 
2.1%
조 7
 
1.8%
Other values (136) 262
68.2%
ASCII
ValueCountFrequency (%)
( 11
44.0%
) 11
44.0%
3
 
12.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

상품명
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T07:25:44.350832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length11.769231
Min length2

Characters and Unicode

Total characters765
Distinct characters199
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)96.9%

Sample

1st row된장 간장 꽃차
2nd row현미식초 세종대왕 어주
3rd row뽕잎소금 공희소금 누룩소금 인절미고추장 자염된장 자염간장 조청
4th row된장 간장 청국장
5th row도라지액 도라지절편 흑도라지스틱
ValueCountFrequency (%)
된장 10
 
6.3%
간장 6
 
3.8%
대추즙 4
 
2.5%
고추장 4
 
2.5%
청국장 4
 
2.5%
복숭아병조림 3
 
1.9%
홍삼액 3
 
1.9%
참기름 3
 
1.9%
생들기름 3
 
1.9%
사과즙 3
 
1.9%
Other values (112) 115
72.8%
2023-12-13T07:25:45.022914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
12.2%
장 46
 
6.0%
즙 20
 
2.6%
추 20
 
2.6%
아 19
 
2.5%
과 17
 
2.2%
기 16
 
2.1%
된 14
 
1.8%
청 12
 
1.6%
국 11
 
1.4%
Other values (189) 497
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 663
86.7%
Space Separator 93
 
12.2%
Decimal Number 6
 
0.8%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 46
 
6.9%
즙 20
 
3.0%
추 20
 
3.0%
아 19
 
2.9%
과 17
 
2.6%
기 16
 
2.4%
된 14
 
2.1%
청 12
 
1.8%
국 11
 
1.7%
간 11
 
1.7%
Other values (183) 477
71.9%
Decimal Number
ValueCountFrequency (%)
5 4
66.7%
9 2
33.3%
Space Separator
ValueCountFrequency (%)
93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 663
86.7%
Common 102
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 46
 
6.9%
즙 20
 
3.0%
추 20
 
3.0%
아 19
 
2.9%
과 17
 
2.6%
기 16
 
2.4%
된 14
 
2.1%
청 12
 
1.8%
국 11
 
1.7%
간 11
 
1.7%
Other values (183) 477
71.9%
Common
ValueCountFrequency (%)
93
91.2%
5 4
 
3.9%
9 2
 
2.0%
) 1
 
1.0%
( 1
 
1.0%
· 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 663
86.7%
ASCII 101
 
13.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
92.1%
5 4
 
4.0%
9 2
 
2.0%
) 1
 
1.0%
( 1
 
1.0%
Hangul
ValueCountFrequency (%)
장 46
 
6.9%
즙 20
 
3.0%
추 20
 
3.0%
아 19
 
2.9%
과 17
 
2.6%
기 16
 
2.4%
된 14
 
2.1%
청 12
 
1.8%
국 11
 
1.7%
간 11
 
1.7%
Other values (183) 477
71.9%
None
ValueCountFrequency (%)
· 1
100.0%

주소
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T07:25:45.302257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length22.353846
Min length17

Characters and Unicode

Total characters1453
Distinct characters137
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

Unique65 ?
Unique (%)100.0%

Sample

1st row충청북도 청주시 상당구 것대로 46번가길 13
2nd row충청북도 청주시 청원구 내수읍 미원초정로 1275
3rd row충청북도 청주시 상당구 미원면 화원1길 19-1
4th row충청북도 청주시 청원구 내수읍 마산1길 43-13
5th row충청북도 청주시 내수읍 형동2길 106-53
ValueCountFrequency (%)
충청북도 65
 
19.1%
청주시 15
 
4.4%
음성군 8
 
2.4%
옥천군 7
 
2.1%
보은군 7
 
2.1%
청원구 6
 
1.8%
영동군 6
 
1.8%
충주시 5
 
1.5%
상당구 5
 
1.5%
진천군 5
 
1.5%
Other values (181) 211
62.1%
2023-12-13T07:25:45.688251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
19.0%
청 92
 
6.3%
충 70
 
4.8%
도 70
 
4.8%
북 66
 
4.5%
길 51
 
3.5%
2 51
 
3.5%
1 50
 
3.4%
면 43
 
3.0%
군 42
 
2.9%
Other values (127) 642
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 913
62.8%
Space Separator 276
 
19.0%
Decimal Number 236
 
16.2%
Dash Punctuation 28
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 92
 
10.1%
충 70
 
7.7%
도 70
 
7.7%
북 66
 
7.2%
길 51
 
5.6%
면 43
 
4.7%
군 42
 
4.6%
로 25
 
2.7%
천 24
 
2.6%
시 23
 
2.5%
Other values (115) 407
44.6%
Decimal Number
ValueCountFrequency (%)
2 51
21.6%
1 50
21.2%
3 27
11.4%
5 26
11.0%
7 18
 
7.6%
4 18
 
7.6%
6 12
 
5.1%
0 12
 
5.1%
8 11
 
4.7%
9 11
 
4.7%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 913
62.8%
Common 540
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 92
 
10.1%
충 70
 
7.7%
도 70
 
7.7%
북 66
 
7.2%
길 51
 
5.6%
면 43
 
4.7%
군 42
 
4.6%
로 25
 
2.7%
천 24
 
2.6%
시 23
 
2.5%
Other values (115) 407
44.6%
Common
ValueCountFrequency (%)
276
51.1%
2 51
 
9.4%
1 50
 
9.3%
- 28
 
5.2%
3 27
 
5.0%
5 26
 
4.8%
7 18
 
3.3%
4 18
 
3.3%
6 12
 
2.2%
0 12
 
2.2%
Other values (2) 22
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 913
62.8%
ASCII 540
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
51.1%
2 51
 
9.4%
1 50
 
9.3%
- 28
 
5.2%
3 27
 
5.0%
5 26
 
4.8%
7 18
 
3.3%
4 18
 
3.3%
6 12
 
2.2%
0 12
 
2.2%
Other values (2) 22
 
4.1%
Hangul
ValueCountFrequency (%)
청 92
 
10.1%
충 70
 
7.7%
도 70
 
7.7%
북 66
 
7.2%
길 51
 
5.6%
면 43
 
4.7%
군 42
 
4.6%
로 25
 
2.7%
천 24
 
2.6%
시 23
 
2.5%
Other values (115) 407
44.6%

연락처
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing17
Missing (%)26.2%
Memory size652.0 B
2023-12-13T07:25:45.949906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters580
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row043-221-1559
2nd row070-4415-6567
3rd row043-225-9335
4th row043-214-0173
5th row043-218-5606
ValueCountFrequency (%)
043-732-2266 1
 
2.1%
043-853-3724 1
 
2.1%
043-877-6797 1
 
2.1%
043-742-2175 1
 
2.1%
043-744-5432 1
 
2.1%
043-836-9910 1
 
2.1%
043-836-8168 1
 
2.1%
043-534-0239 1
 
2.1%
070-8200-0348 1
 
2.1%
043-833-1010 1
 
2.1%
Other values (38) 38
79.2%
2023-12-13T07:25:46.326836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
16.6%
3 86
14.8%
4 79
13.6%
0 77
13.3%
2 55
9.5%
5 47
8.1%
7 35
 
6.0%
8 32
 
5.5%
1 31
 
5.3%
6 22
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 484
83.4%
Dash Punctuation 96
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 86
17.8%
4 79
16.3%
0 77
15.9%
2 55
11.4%
5 47
9.7%
7 35
7.2%
8 32
 
6.6%
1 31
 
6.4%
6 22
 
4.5%
9 20
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 580
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
16.6%
3 86
14.8%
4 79
13.6%
0 77
13.3%
2 55
9.5%
5 47
8.1%
7 35
 
6.0%
8 32
 
5.5%
1 31
 
5.3%
6 22
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
16.6%
3 86
14.8%
4 79
13.6%
0 77
13.3%
2 55
9.5%
5 47
8.1%
7 35
 
6.0%
8 32
 
5.5%
1 31
 
5.3%
6 22
 
3.8%

홈페이지
Text

MISSING 

Distinct41
Distinct (%)87.2%
Missing18
Missing (%)27.7%
Memory size652.0 B
2023-12-13T07:25:46.601272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length29.085106
Min length19

Characters and Unicode

Total characters1367
Distinct characters39
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

Unique39 ?
Unique (%)83.0%

Sample

1st rowhttps://sansungmeju221.modoo.at/
2nd rowhttps://www.cbfarms.or.kr/mshop/
3rd rowhttp://gong-hee.co.kr/
4th rowhttps://www.cbfarms.or.kr
5th rowhttps://koreanoodle.modoo.at/
ValueCountFrequency (%)
https://www.cbfarms.or.kr 6
 
12.8%
https://www.cbfarms.or.kr/mshop 4
 
8.5%
https://www.naturalneeds.kr:14050/shop/main/index.php 1
 
2.1%
https://smartstore.naver.com/4smeju 1
 
2.1%
https://dangoeul.modoo.at 1
 
2.1%
http://blog.naver.com/olsan410 1
 
2.1%
https://blog.naver.com/syh082000 1
 
2.1%
http://nongbuinshop.co.kr 1
 
2.1%
http://www.farmisclassic.co.kr/shop/main/index.php 1
 
2.1%
http://www.im2u.co.kr 1
 
2.1%
Other values (29) 29
61.7%
2023-12-13T07:25:46.999748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 145
 
10.6%
t 116
 
8.5%
. 108
 
7.9%
o 92
 
6.7%
s 77
 
5.6%
r 77
 
5.6%
w 73
 
5.3%
p 72
 
5.3%
h 69
 
5.0%
a 65
 
4.8%
Other values (29) 473
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1030
75.3%
Other Punctuation 301
 
22.0%
Decimal Number 34
 
2.5%
Connector Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 116
11.3%
o 92
 
8.9%
s 77
 
7.5%
r 77
 
7.5%
w 73
 
7.1%
p 72
 
7.0%
h 69
 
6.7%
a 65
 
6.3%
m 59
 
5.7%
n 49
 
4.8%
Other values (14) 281
27.3%
Decimal Number
ValueCountFrequency (%)
0 8
23.5%
2 5
14.7%
4 5
14.7%
5 4
11.8%
1 3
 
8.8%
8 2
 
5.9%
6 2
 
5.9%
7 2
 
5.9%
3 2
 
5.9%
9 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 145
48.2%
. 108
35.9%
: 48
 
15.9%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1030
75.3%
Common 337
 
24.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 116
11.3%
o 92
 
8.9%
s 77
 
7.5%
r 77
 
7.5%
w 73
 
7.1%
p 72
 
7.0%
h 69
 
6.7%
a 65
 
6.3%
m 59
 
5.7%
n 49
 
4.8%
Other values (14) 281
27.3%
Common
ValueCountFrequency (%)
/ 145
43.0%
. 108
32.0%
: 48
 
14.2%
0 8
 
2.4%
2 5
 
1.5%
4 5
 
1.5%
5 4
 
1.2%
1 3
 
0.9%
8 2
 
0.6%
6 2
 
0.6%
Other values (5) 7
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 145
 
10.6%
t 116
 
8.5%
. 108
 
7.9%
o 92
 
6.7%
s 77
 
5.6%
r 77
 
5.6%
w 73
 
5.3%
p 72
 
5.3%
h 69
 
5.0%
a 65
 
4.8%
Other values (29) 473
34.6%

Interactions

2023-12-13T07:25:42.760133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:25:47.097146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지역사업장명상품명주소연락처홈페이지
번호1.0000.8461.0000.9351.0001.0000.837
지역0.8461.0001.0001.0001.0001.0000.881
사업장명1.0001.0001.0001.0001.0001.0001.000
상품명0.9351.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
홈페이지0.8370.8811.0001.0001.0001.0001.000
2023-12-13T07:25:47.240035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지역
번호1.0000.565
지역0.5651.000

Missing values

2023-12-13T07:25:42.888484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:25:43.013021image/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.
2023-12-13T07:25:43.099427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호지역사업장명상품명주소연락처홈페이지
01청주산성것대메주된장 간장 꽃차충청북도 청주시 상당구 것대로 46번가길 13043-221-1559https://sansungmeju221.modoo.at/
12청주(농)장희현미식초 세종대왕 어주충청북도 청주시 청원구 내수읍 미원초정로 1275070-4415-6567https://www.cbfarms.or.kr/mshop/
23청주농업회사법인 황골(주)뽕잎소금 공희소금 누룩소금 인절미고추장 자염된장 자염간장 조청충청북도 청주시 상당구 미원면 화원1길 19-1043-225-9335http://gong-hee.co.kr/
34청주두향(콩향기)된장 간장 청국장충청북도 청주시 청원구 내수읍 마산1길 43-13043-214-0173<NA>
45청주더불어세상(영)도라지액 도라지절편 흑도라지스틱충청북도 청주시 내수읍 형동2길 106-53043-218-5606<NA>
56청주두리두리(영)된장 간장충청북도 청주시 상당구 미원면 호정대신로 825043-297-0811<NA>
67청주팔봉골된장 고추장 간장충청북도 청주시 서원구 남이면 사동구암로 204-22043-277-8030https://www.cbfarms.or.kr
78청주오드레미(영)현미쌀국수 쌀국수 현미쌀눈국수충청북도 청주시 청원구 팔결로 245043-213-5733https://koreanoodle.modoo.at/
89청주다농식품된장 간장충청북도 청주시 청원구 내수읍 우산1길25043-213-3070http://www.danongfood.com/
910청주화양풍정사계 춘하추동충청북도 청주시 청원구 내수읍 풍정1길 8-2043-214-9424http://www.hwayang.co/
번호지역사업장명상품명주소연락처홈페이지
5556옥천달돋이포도원아로니아포도즙충청북도 옥천군 동이면 금암3길 26<NA><NA>
5657옥천고시산푸드고운빛 어성초 건강밥충청북도 옥천군 청성면 소서길 258-98043-733-3539http://gosisanfood.com/
5758옥천알렉산드리아협동조합청포도주스 유기농 마시는 딸기충청북도 옥천군 옥천읍 삼청1길 97-12<NA><NA>
5859영동사계절메주영농조합법인재래식된장 산야초고추장 청국장가루 알갱이메주충청북도 영동군 매곡면 공수4길 67-27<NA>https://smartstore.naver.com/4smeju
5960증평증평토박이인삼홍삼홍삼액 칡즙충청북도 증평군 증평읍 까치골길 152<NA><NA>
6061진천㈜삼채나라 농업회사법인삼채장아찌 세척삼채뿌리충청북도 진천군 덕산면 구산2길 28-9043-553-3331https://www.naturalneeds.kr:14050/shop/main/index.php
6162음성음성블루베리원영농조합법인블루베리유기농즙 유기농건블루베리충청북도 음성군 대소면 한삼로 108-55043-882-6391https://www.berrya.co.kr
6263음성농업회사법인(주)농손사과즙충청북도 음성군 유삼길 9-17<NA>https://smartstore.naver.com/farmers_hand
6364단양청유당기름집생들기름 참기름 들기름충청북도 단양군 적성면 소야3길 56043-421-5233https://www.htvill.com
6465옥천옥천청산홍삼홍삼액충청북도 옥천군 청산면 백운길 36043-732-9950<NA>