Overview

Dataset statistics

Number of variables8
Number of observations96
Missing cells49
Missing cells (%)6.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory67.4 B

Variable types

Numeric2
Categorical2
Text4

Dataset

Description경상남도 내 전통주 양조장 현황 정보로, 전통주 양조쟝의 양조장명, 소재지, 전화 번호 등에 관한 데이터를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15037668

Alerts

연번 is highly overall correlated with 시군명High correlation
판매가(원) is highly overall correlated with 주종High correlation
시군명 is highly overall correlated with 연번High correlation
주종 is highly overall correlated with 판매가(원)High correlation
연락처 has 26 (27.1%) missing valuesMissing
판매가(원) has 22 (22.9%) missing valuesMissing
브랜드명 has 1 (1.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:13:36.962830
Analysis finished2023-12-11 00:13:38.467401
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.5
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-11T09:13:38.590838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.75
Q124.75
median48.5
Q372.25
95-th percentile91.25
Maximum96
Range95
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation27.856777
Coefficient of variation (CV)0.57436653
Kurtosis-1.2
Mean48.5
Median Absolute Deviation (MAD)24
Skewness0
Sum4656
Variance776
MonotonicityStrictly increasing
2023-12-11T09:13:38.747120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
50 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%

시군명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size900.0 B
함양군
12 
거창군
10 
진주시
8 
창원시
8 
고성군
7 
Other values (13)
51 

Length

Max length4
Median length3
Mean length3.0208333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
함양군 12
12.5%
거창군 10
10.4%
진주시 8
 
8.3%
창원시 8
 
8.3%
고성군 7
 
7.3%
창녕군 6
 
6.2%
하동군 6
 
6.2%
산청군 5
 
5.2%
함안군 5
 
5.2%
양산시 5
 
5.2%
Other values (8) 24
25.0%

Length

2023-12-11T09:13:38.902694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
함양군 12
12.5%
거창군 10
10.4%
진주시 8
 
8.3%
창원시 8
 
8.3%
고성군 7
 
7.3%
창녕군 6
 
6.2%
하동군 6
 
6.2%
양산시 5
 
5.2%
밀양시 5
 
5.2%
함안군 5
 
5.2%
Other values (7) 24
25.0%

주소
Text

Distinct92
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T09:13:39.539728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length16.791667
Min length10

Characters and Unicode

Total characters1612
Distinct characters165
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)92.7%

Sample

1st row창원시 의창구 북면 무곡리 142-1
2nd row창원시 의창구 북면 신촌리 570-1
3rd row창원시 의창구 북면 신촌리 404-6
4th row창원시 마산합포구 진동면 진동리 489-3
5th row창원시 마산회원구 내서읍 중리446-2
ValueCountFrequency (%)
함양군 12
 
3.1%
거창군 9
 
2.3%
창원시 8
 
2.1%
진주시 8
 
2.1%
하동군 6
 
1.6%
고성군 6
 
1.6%
함양읍 6
 
1.6%
산청군 5
 
1.3%
거창읍 5
 
1.3%
양산시 5
 
1.3%
Other values (258) 314
81.8%
2023-12-11T09:13:40.268754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
288
 
17.9%
2 61
 
3.8%
면 61
 
3.8%
1 58
 
3.6%
군 50
 
3.1%
- 49
 
3.0%
7 43
 
2.7%
길 43
 
2.7%
로 41
 
2.5%
시 40
 
2.5%
Other values (155) 878
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 918
56.9%
Decimal Number 350
 
21.7%
Space Separator 288
 
17.9%
Dash Punctuation 49
 
3.0%
Close Punctuation 3
 
0.2%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 61
 
6.6%
군 50
 
5.4%
길 43
 
4.7%
로 41
 
4.5%
시 40
 
4.4%
양 39
 
4.2%
창 31
 
3.4%
읍 26
 
2.8%
산 25
 
2.7%
리 23
 
2.5%
Other values (140) 539
58.7%
Decimal Number
ValueCountFrequency (%)
2 61
17.4%
1 58
16.6%
7 43
12.3%
4 32
9.1%
3 31
8.9%
5 30
8.6%
0 30
8.6%
6 28
8.0%
8 21
 
6.0%
9 16
 
4.6%
Space Separator
ValueCountFrequency (%)
288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 918
56.9%
Common 694
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 61
 
6.6%
군 50
 
5.4%
길 43
 
4.7%
로 41
 
4.5%
시 40
 
4.4%
양 39
 
4.2%
창 31
 
3.4%
읍 26
 
2.8%
산 25
 
2.7%
리 23
 
2.5%
Other values (140) 539
58.7%
Common
ValueCountFrequency (%)
288
41.5%
2 61
 
8.8%
1 58
 
8.4%
- 49
 
7.1%
7 43
 
6.2%
4 32
 
4.6%
3 31
 
4.5%
5 30
 
4.3%
0 30
 
4.3%
6 28
 
4.0%
Other values (5) 44
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 918
56.9%
ASCII 694
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
288
41.5%
2 61
 
8.8%
1 58
 
8.4%
- 49
 
7.1%
7 43
 
6.2%
4 32
 
4.6%
3 31
 
4.5%
5 30
 
4.3%
0 30
 
4.3%
6 28
 
4.0%
Other values (5) 44
 
6.3%
Hangul
ValueCountFrequency (%)
면 61
 
6.6%
군 50
 
5.4%
길 43
 
4.7%
로 41
 
4.5%
시 40
 
4.4%
양 39
 
4.2%
창 31
 
3.4%
읍 26
 
2.8%
산 25
 
2.7%
리 23
 
2.5%
Other values (140) 539
58.7%

업체명
Text

Distinct93
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T09:13:40.575118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length6.46875
Min length2

Characters and Unicode

Total characters621
Distinct characters159
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

Unique91 ?
Unique (%)94.8%

Sample

1st row무곡주조장
2nd row온천양조장
3rd row㈜맑은내일
4th row진동공동주조장
5th row중리탁주
ValueCountFrequency (%)
주식회사 4
 
3.7%
몬스터빌리지 3
 
2.8%
농업회사법인 3
 
2.8%
영농조합법인 2
 
1.9%
일반성탁주제조장 2
 
1.9%
길곡주조장 1
 
0.9%
화개합동양조장 1
 
0.9%
창녕탁주양조장 1
 
0.9%
무곡주조장 1
 
0.9%
술비담 1
 
0.9%
Other values (89) 89
82.4%
2023-12-11T09:13:41.062650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 58
 
9.3%
장 52
 
8.4%
양 49
 
7.9%
주 30
 
4.8%
농 18
 
2.9%
인 18
 
2.9%
회 16
 
2.6%
사 16
 
2.6%
법 15
 
2.4%
산 13
 
2.1%
Other values (149) 336
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
96.1%
Space Separator 12
 
1.9%
Other Symbol 10
 
1.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 58
 
9.7%
장 52
 
8.7%
양 49
 
8.2%
주 30
 
5.0%
농 18
 
3.0%
인 18
 
3.0%
회 16
 
2.7%
사 16
 
2.7%
법 15
 
2.5%
산 13
 
2.2%
Other values (145) 312
52.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
97.7%
Common 14
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 58
 
9.6%
장 52
 
8.6%
양 49
 
8.1%
주 30
 
4.9%
농 18
 
3.0%
인 18
 
3.0%
회 16
 
2.6%
사 16
 
2.6%
법 15
 
2.5%
산 13
 
2.1%
Other values (146) 322
53.0%
Common
ValueCountFrequency (%)
12
85.7%
( 1
 
7.1%
) 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
96.1%
ASCII 14
 
2.3%
None 10
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 58
 
9.7%
장 52
 
8.7%
양 49
 
8.2%
주 30
 
5.0%
농 18
 
3.0%
인 18
 
3.0%
회 16
 
2.7%
사 16
 
2.7%
법 15
 
2.5%
산 13
 
2.2%
Other values (145) 312
52.3%
ASCII
ValueCountFrequency (%)
12
85.7%
( 1
 
7.1%
) 1
 
7.1%
None
ValueCountFrequency (%)
㈜ 10
100.0%

연락처
Text

MISSING 

Distinct68
Distinct (%)97.1%
Missing26
Missing (%)27.1%
Memory size900.0 B
2023-12-11T09:13:41.385440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.028571
Min length12

Characters and Unicode

Total characters842
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

Unique66 ?
Unique (%)94.3%

Sample

1st row055-256-9159
2nd row055-298-0109
3rd row055-264-0997
4th row055-271-2670
5th row055-231-2233
ValueCountFrequency (%)
055-754-6027 2
 
2.9%
055-963-9911 2
 
2.9%
055-973-2030 1
 
1.4%
055-862-2727 1
 
1.4%
055-674-4706 1
 
1.4%
055-673-2226 1
 
1.4%
055-834-6110 1
 
1.4%
055-672-8019 1
 
1.4%
055-674-4050 1
 
1.4%
055-536-9230 1
 
1.4%
Other values (58) 58
82.9%
2023-12-11T09:13:41.834961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 192
22.8%
- 140
16.6%
0 126
15.0%
6 61
 
7.2%
3 59
 
7.0%
2 58
 
6.9%
9 53
 
6.3%
4 44
 
5.2%
7 40
 
4.8%
1 40
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 702
83.4%
Dash Punctuation 140
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 192
27.4%
0 126
17.9%
6 61
 
8.7%
3 59
 
8.4%
2 58
 
8.3%
9 53
 
7.5%
4 44
 
6.3%
7 40
 
5.7%
1 40
 
5.7%
8 29
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 842
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 192
22.8%
- 140
16.6%
0 126
15.0%
6 61
 
7.2%
3 59
 
7.0%
2 58
 
6.9%
9 53
 
6.3%
4 44
 
5.2%
7 40
 
4.8%
1 40
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 842
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 192
22.8%
- 140
16.6%
0 126
15.0%
6 61
 
7.2%
3 59
 
7.0%
2 58
 
6.9%
9 53
 
6.3%
4 44
 
5.2%
7 40
 
4.8%
1 40
 
4.8%

판매가(원)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct37
Distinct (%)50.0%
Missing22
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean8335.8108
Minimum750
Maximum115000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-11T09:13:42.021616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum750
5-th percentile900
Q11100
median1650
Q311750
95-th percentile25000
Maximum115000
Range114250
Interquartile range (IQR)10650

Descriptive statistics

Standard deviation15105.366
Coefficient of variation (CV)1.8121052
Kurtosis34.18657
Mean8335.8108
Median Absolute Deviation (MAD)775
Skewness5.1145446
Sum616850
Variance2.2817209 × 108
MonotonicityNot monotonic
2023-12-11T09:13:42.163202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1000 7
 
7.3%
900 6
 
6.2%
1100 6
 
6.2%
1500 4
 
4.2%
1200 4
 
4.2%
15000 4
 
4.2%
20000 3
 
3.1%
1400 3
 
3.1%
1300 3
 
3.1%
18000 2
 
2.1%
Other values (27) 32
33.3%
(Missing) 22
22.9%
ValueCountFrequency (%)
750 1
 
1.0%
850 2
 
2.1%
900 6
6.2%
1000 7
7.3%
1100 6
6.2%
1200 4
4.2%
1300 3
3.1%
1400 3
3.1%
1500 4
4.2%
1600 1
 
1.0%
ValueCountFrequency (%)
115000 1
 
1.0%
35000 1
 
1.0%
30000 1
 
1.0%
25000 2
2.1%
24000 1
 
1.0%
23000 1
 
1.0%
20000 3
3.1%
18000 2
2.1%
16000 1
 
1.0%
15000 4
4.2%

브랜드명
Text

MISSING 

Distinct95
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Memory size900.0 B
2023-12-11T09:13:42.438745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.8
Min length2

Characters and Unicode

Total characters551
Distinct characters171
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

Unique95 ?
Unique (%)100.0%

Sample

1st row천주산쌀막걸리
2nd row북면막걸리
3rd row아이스와인
4th row참샘골
5th row중리막걸리
ValueCountFrequency (%)
천주산쌀막걸리 1
 
1.0%
소주(담금주의정석 1
 
1.0%
부곡생생동주 1
 
1.0%
막걸리(소풍 1
 
1.0%
탁주(설레 1
 
1.0%
청암생막걸리 1
 
1.0%
정감막걸리 1
 
1.0%
양보생막걸리 1
 
1.0%
하동참좋은술 1
 
1.0%
옥종명주 1
 
1.0%
Other values (92) 92
90.2%
2023-12-11T09:13:42.898272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 55
 
10.0%
막 47
 
8.5%
걸 47
 
8.5%
생 26
 
4.7%
주 25
 
4.5%
산 17
 
3.1%
양 10
 
1.8%
탁 9
 
1.6%
도 8
 
1.5%
0 8
 
1.5%
Other values (161) 299
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
91.8%
Decimal Number 20
 
3.6%
Space Separator 7
 
1.3%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%
Other Punctuation 4
 
0.7%
Uppercase Letter 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 55
 
10.9%
막 47
 
9.3%
걸 47
 
9.3%
생 26
 
5.1%
주 25
 
4.9%
산 17
 
3.4%
양 10
 
2.0%
탁 9
 
1.8%
도 8
 
1.6%
와 7
 
1.4%
Other values (143) 255
50.4%
Decimal Number
ValueCountFrequency (%)
0 8
40.0%
4 4
20.0%
1 2
 
10.0%
5 1
 
5.0%
2 1
 
5.0%
9 1
 
5.0%
7 1
 
5.0%
3 1
 
5.0%
6 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
T 1
25.0%
M 1
25.0%
J 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
, 2
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
91.8%
Common 41
 
7.4%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 55
 
10.9%
막 47
 
9.3%
걸 47
 
9.3%
생 26
 
5.1%
주 25
 
4.9%
산 17
 
3.4%
양 10
 
2.0%
탁 9
 
1.8%
도 8
 
1.6%
와 7
 
1.4%
Other values (143) 255
50.4%
Common
ValueCountFrequency (%)
0 8
19.5%
7
17.1%
) 5
12.2%
( 5
12.2%
4 4
9.8%
/ 2
 
4.9%
1 2
 
4.9%
, 2
 
4.9%
5 1
 
2.4%
2 1
 
2.4%
Other values (4) 4
9.8%
Latin
ValueCountFrequency (%)
S 1
25.0%
T 1
25.0%
M 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
91.8%
ASCII 45
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 55
 
10.9%
막 47
 
9.3%
걸 47
 
9.3%
생 26
 
5.1%
주 25
 
4.9%
산 17
 
3.4%
양 10
 
2.0%
탁 9
 
1.8%
도 8
 
1.6%
와 7
 
1.4%
Other values (143) 255
50.4%
ASCII
ValueCountFrequency (%)
0 8
17.8%
7
15.6%
) 5
11.1%
( 5
11.1%
4 4
8.9%
/ 2
 
4.4%
1 2
 
4.4%
, 2
 
4.4%
5 1
 
2.2%
2 1
 
2.2%
Other values (8) 8
17.8%

주종
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
탁주
49 
막걸리
14 
과실주
7 
약주
 
4
<NA>
 
3
Other values (16)
19 

Length

Max length16
Median length2
Mean length3.28125
Min length2

Unique

Unique14 ?
Unique (%)14.6%

Sample

1st row탁주
2nd row탁주
3rd row와인
4th row탁주
5th row탁주

Common Values

ValueCountFrequency (%)
탁주 49
51.0%
막걸리 14
 
14.6%
과실주 7
 
7.3%
약주 4
 
4.2%
<NA> 3
 
3.1%
탁주, 약주 3
 
3.1%
와인 2
 
2.1%
탁주약주일반증류주 1
 
1.0%
약주, 일반증류주 1
 
1.0%
탁주,약주,소주,과실주 1
 
1.0%
Other values (11) 11
 
11.5%

Length

2023-12-11T09:13:43.081385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
탁주 57
52.8%
막걸리 14
 
13.0%
약주 10
 
9.3%
과실주 8
 
7.4%
na 3
 
2.8%
와인 2
 
1.9%
일반증류주 2
 
1.9%
리큐르 2
 
1.9%
청주 1
 
0.9%
탁주약주 1
 
0.9%
Other values (8) 8
 
7.4%

Interactions

2023-12-11T09:13:37.792503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:13:37.575302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:13:37.888544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:13:37.689273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:13:43.195718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군명주소업체명연락처판매가(원)브랜드명주종
연번1.0000.9740.9610.9840.8620.2791.0000.568
시군명0.9741.0001.0001.0001.0000.1941.0000.741
주소0.9611.0001.0001.0001.0000.8761.0000.839
업체명0.9841.0001.0001.0001.0000.8761.0000.192
연락처0.8621.0001.0001.0001.0001.0001.0000.934
판매가(원)0.2790.1940.8760.8761.0001.0001.0000.971
브랜드명1.0001.0001.0001.0001.0001.0001.0001.000
주종0.5680.7410.8390.1920.9340.9711.0001.000
2023-12-11T09:13:43.305496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명주종
시군명1.0000.315
주종0.3151.000
2023-12-11T09:13:43.398406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매가(원)시군명주종
연번1.0000.0870.8380.223
판매가(원)0.0871.0000.0990.805
시군명0.8380.0991.0000.315
주종0.2230.8050.3151.000

Missing values

2023-12-11T09:13:38.059887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:13:38.224476image/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.
2023-12-11T09:13:38.364865image/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

연번시군명주소업체명연락처판매가(원)브랜드명주종
01창원시창원시 의창구 북면 무곡리 142-1무곡주조장055-256-9159<NA>천주산쌀막걸리탁주
12창원시창원시 의창구 북면 신촌리 570-1온천양조장055-298-0109<NA>북면막걸리탁주
23창원시창원시 의창구 북면 신촌리 404-6㈜맑은내일055-264-0997<NA>아이스와인와인
34창원시창원시 마산합포구 진동면 진동리 489-3진동공동주조장055-271-2670<NA>참샘골탁주
45창원시창원시 마산회원구 내서읍 중리446-2중리탁주055-231-2233<NA>중리막걸리탁주
56창원시창원시 마산회원구 내서읍 중리 1119-2㈜무학040-7576-2029<NA>해오름탁주
67창원시창원시 진해구 덕산동 76-6진해공동탁주055-551-6260<NA>진해군항주탁주
78창원시창원시 진해구 용원동 1178-2신항만주조장055-552-1539<NA>보배탁주탁주
89진주시진주시 수곡면 곤수로 906수곡양조장055-754-50071700수곡막걸리막걸리
910진주시진주시 일반성면 일사로 782번길 4일반성탁주제조장055-754-6027<NA>생생원맑은술약주
연번시군명주소업체명연락처판매가(원)브랜드명주종
8687거창군거창군 거창읍 대평리 1308-2거창양조장055-945-3355750거창생막걸리탁주
8788거창군거창군 거창읍 서변리 589-1월천양조장055-944-39891000월천막걸리탁주
8889거창군거창군 거창읍 정장리 72거창원예농협055-945-25444000산내울과실주
8990거창군거창군 거창읍 거함대로 3372-185진토와인055-943-163618000진토아이스와인과실주
9091거창군거창군 웅양면 군암리 1119거창포도주055-944-867616000정쌍은포도주과실주
9192거창군거창군 고제면 입석2길 32-10영농조합법인 송림성<NA>5000송림 하얀술탁주
9293거창군거창군 위천면 당산리 207-3두메산골주조055-941-06111400두메산골 생탁주탁주
9394거창군신원면 과정리 187-10신원양조장055-942-80301100신원생막걸리탁주
9495거창군거창군 가조면 마상리 247가조양조장055-942-0106900가조생쌀막걸리탁주
9596거창군거창군 거창읍 가지리 799-5해플스팜사이더리 농업회사법인<NA>5300해플스사이더과실주증류주