Overview

Dataset statistics

Number of variables5
Number of observations851
Missing cells6
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.4 KiB
Average record size in memory40.2 B

Variable types

Text5

Dataset

Description더술(https://thesool.com/front/home/M000000000/index.do)에서 제공하는 우리나라 전통주 상품별 알코올 도수, 용량, 원재료 정보 등 제공
URLhttps://www.data.go.kr/data/15048755/fileData.do

Reproduction

Analysis started2023-12-12 08:12:55.384472
Analysis finished2023-12-12 08:12:56.615734
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct845
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T17:12:56.965954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.1692127
Min length1

Characters and Unicode

Total characters6101
Distinct characters510
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique840 ?
Unique (%)98.7%

Sample

1st row입장탁주
2nd row톡 한잔 소주
3rd row자연담은 복분자막걸리
4th row로얄 안동소주
5th row지란지교
ValueCountFrequency (%)
막걸리 57
 
3.7%
17
 
1.1%
생막걸리 16
 
1.0%
스위트 13
 
0.8%
스파클링 12
 
0.8%
약주 11
 
0.7%
고도리 11
 
0.7%
안동소주 9
 
0.6%
와인 9
 
0.6%
레드 8
 
0.5%
Other values (980) 1398
89.6%
2023-12-12T17:12:57.587622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
 
11.6%
291
 
4.8%
220
 
3.6%
157
 
2.6%
143
 
2.3%
110
 
1.8%
105
 
1.7%
99
 
1.6%
88
 
1.4%
75
 
1.2%
Other values (500) 4103
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4868
79.8%
Space Separator 710
 
11.6%
Decimal Number 341
 
5.6%
Lowercase Letter 56
 
0.9%
Uppercase Letter 43
 
0.7%
Other Punctuation 41
 
0.7%
Open Punctuation 19
 
0.3%
Close Punctuation 19
 
0.3%
Modifier Symbol 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
291
 
6.0%
220
 
4.5%
157
 
3.2%
143
 
2.9%
110
 
2.3%
105
 
2.2%
99
 
2.0%
88
 
1.8%
75
 
1.5%
65
 
1.3%
Other values (446) 3515
72.2%
Lowercase Letter
ValueCountFrequency (%)
e 7
12.5%
r 6
10.7%
n 5
 
8.9%
o 5
 
8.9%
m 4
 
7.1%
t 3
 
5.4%
l 3
 
5.4%
s 3
 
5.4%
i 3
 
5.4%
g 3
 
5.4%
Other values (7) 14
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 7
16.3%
D 6
14.0%
E 5
11.6%
C 5
11.6%
T 3
7.0%
W 3
7.0%
A 2
 
4.7%
M 2
 
4.7%
R 2
 
4.7%
O 2
 
4.7%
Other values (6) 6
14.0%
Decimal Number
ValueCountFrequency (%)
0 69
20.2%
1 59
17.3%
2 53
15.5%
4 39
11.4%
5 37
10.9%
9 20
 
5.9%
3 20
 
5.9%
7 19
 
5.6%
6 16
 
4.7%
8 9
 
2.6%
Other Punctuation
ValueCountFrequency (%)
% 17
41.5%
, 15
36.6%
. 7
17.1%
/ 1
 
2.4%
# 1
 
2.4%
Space Separator
ValueCountFrequency (%)
710
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4864
79.7%
Common 1134
 
18.6%
Latin 99
 
1.6%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
291
 
6.0%
220
 
4.5%
157
 
3.2%
143
 
2.9%
110
 
2.3%
105
 
2.2%
99
 
2.0%
88
 
1.8%
75
 
1.5%
65
 
1.3%
Other values (442) 3511
72.2%
Latin
ValueCountFrequency (%)
e 7
 
7.1%
S 7
 
7.1%
D 6
 
6.1%
r 6
 
6.1%
n 5
 
5.1%
E 5
 
5.1%
C 5
 
5.1%
o 5
 
5.1%
m 4
 
4.0%
T 3
 
3.0%
Other values (23) 46
46.5%
Common
ValueCountFrequency (%)
710
62.6%
0 69
 
6.1%
1 59
 
5.2%
2 53
 
4.7%
4 39
 
3.4%
5 37
 
3.3%
9 20
 
1.8%
3 20
 
1.8%
( 19
 
1.7%
7 19
 
1.7%
Other values (11) 89
 
7.8%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4864
79.7%
ASCII 1233
 
20.2%
CJK 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
57.6%
0 69
 
5.6%
1 59
 
4.8%
2 53
 
4.3%
4 39
 
3.2%
5 37
 
3.0%
9 20
 
1.6%
3 20
 
1.6%
( 19
 
1.5%
7 19
 
1.5%
Other values (44) 188
 
15.2%
Hangul
ValueCountFrequency (%)
291
 
6.0%
220
 
4.5%
157
 
3.2%
143
 
2.9%
110
 
2.3%
105
 
2.2%
99
 
2.0%
88
 
1.8%
75
 
1.5%
65
 
1.3%
Other values (442) 3511
72.2%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

도수
Text

Distinct90
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T17:12:57.899885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length1.9823737
Min length1

Characters and Unicode

Total characters1687
Distinct characters15
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)4.3%

Sample

1st row7
2nd row30
3rd row6
4th row45
5th row17
ValueCountFrequency (%)
12 118
 
13.7%
6 117
 
13.5%
40 57
 
6.6%
13 54
 
6.2%
15 48
 
5.6%
16 42
 
4.9%
25 32
 
3.7%
8 31
 
3.6%
10 30
 
3.5%
9 23
 
2.7%
Other values (69) 312
36.1%
2023-12-12T17:12:58.313207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 450
26.7%
5 212
12.6%
2 206
12.2%
6 184
10.9%
4 133
 
7.9%
0 117
 
6.9%
3 108
 
6.4%
. 90
 
5.3%
8 66
 
3.9%
7 50
 
3.0%
Other values (5) 71
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1565
92.8%
Other Punctuation 108
 
6.4%
Space Separator 13
 
0.8%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 450
28.8%
5 212
13.5%
2 206
13.2%
6 184
11.8%
4 133
 
8.5%
0 117
 
7.5%
3 108
 
6.9%
8 66
 
4.2%
7 50
 
3.2%
9 39
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 90
83.3%
, 13
 
12.0%
% 5
 
4.6%
Space Separator
ValueCountFrequency (%)
13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1687
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 450
26.7%
5 212
12.6%
2 206
12.2%
6 184
10.9%
4 133
 
7.9%
0 117
 
6.9%
3 108
 
6.4%
. 90
 
5.3%
8 66
 
3.9%
7 50
 
3.0%
Other values (5) 71
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 450
26.7%
5 212
12.6%
2 206
12.2%
6 184
10.9%
4 133
 
7.9%
0 117
 
6.9%
3 108
 
6.4%
. 90
 
5.3%
8 66
 
3.9%
7 50
 
3.0%
Other values (5) 71
 
4.2%

규격
Text

Distinct86
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T17:12:58.576618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length5
Mean length5.6721504
Min length3

Characters and Unicode

Total characters4827
Distinct characters29
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

Unique48 ?
Unique (%)5.6%

Sample

1st row750ml
2nd row500ml
3rd row360ml
4th row600ml, 800ml
5th row500ml
ValueCountFrequency (%)
750ml 278
30.1%
375ml 189
20.4%
500ml 181
19.6%
350ml 35
 
3.8%
700ml 35
 
3.8%
360ml 33
 
3.6%
300ml 19
 
2.1%
200ml 14
 
1.5%
330ml 13
 
1.4%
400ml 10
 
1.1%
Other values (49) 118
12.8%
2023-12-12T17:12:59.022625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1037
21.5%
m 921
19.1%
l 921
19.1%
5 737
15.3%
7 533
11.0%
3 324
 
6.7%
, 81
 
1.7%
74
 
1.5%
6 48
 
1.0%
2 33
 
0.7%
Other values (19) 118
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2807
58.2%
Lowercase Letter 1842
38.2%
Other Punctuation 87
 
1.8%
Space Separator 74
 
1.5%
Other Letter 11
 
0.2%
Dash Punctuation 4
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
Decimal Number
ValueCountFrequency (%)
0 1037
36.9%
5 737
26.3%
7 533
19.0%
3 324
 
11.5%
6 48
 
1.7%
2 33
 
1.2%
1 32
 
1.1%
4 24
 
0.9%
9 22
 
0.8%
8 17
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 81
93.1%
/ 4
 
4.6%
. 2
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
m 921
50.0%
l 921
50.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2972
61.6%
Latin 1844
38.2%
Hangul 11
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1037
34.9%
5 737
24.8%
7 533
17.9%
3 324
 
10.9%
, 81
 
2.7%
74
 
2.5%
6 48
 
1.6%
2 33
 
1.1%
1 32
 
1.1%
4 24
 
0.8%
Other values (5) 49
 
1.6%
Hangul
ValueCountFrequency (%)
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
Latin
ValueCountFrequency (%)
m 921
49.9%
l 921
49.9%
L 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4816
99.8%
Hangul 11
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1037
21.5%
m 921
19.1%
l 921
19.1%
5 737
15.3%
7 533
11.1%
3 324
 
6.7%
, 81
 
1.7%
74
 
1.5%
6 48
 
1.0%
2 33
 
0.7%
Other values (8) 107
 
2.2%
Hangul
ValueCountFrequency (%)
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
Distinct671
Distinct (%)79.4%
Missing6
Missing (%)0.7%
Memory size6.8 KiB
2023-12-12T17:12:59.339220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length71
Mean length23.83787
Min length1

Characters and Unicode

Total characters20143
Distinct characters413
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique578 ?
Unique (%)68.4%

Sample

1st row국내산 쌀
2nd row국내산 보리, 쌀
3rd row국내산 복분자(고창), 정제수
4th row국내산 쌀
5th row찹쌀,멥쌀,전통누룩(밀),정제수
ValueCountFrequency (%)
정제수 420
 
10.8%
효모 247
 
6.4%
국내산 213
 
5.5%
208
 
5.4%
누룩 204
 
5.3%
쌀(국내산 84
 
2.2%
찹쌀 80
 
2.1%
62
 
1.6%
주정 50
 
1.3%
젖산 45
 
1.2%
Other values (876) 2267
58.4%
2023-12-12T17:12:59.917715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3036
 
15.1%
, 2618
 
13.0%
938
 
4.7%
813
 
4.0%
( 663
 
3.3%
) 662
 
3.3%
650
 
3.2%
632
 
3.1%
589
 
2.9%
580
 
2.9%
Other values (403) 8962
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12580
62.5%
Space Separator 3036
 
15.1%
Other Punctuation 2805
 
13.9%
Open Punctuation 674
 
3.3%
Close Punctuation 673
 
3.3%
Decimal Number 335
 
1.7%
Uppercase Letter 26
 
0.1%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
938
 
7.5%
813
 
6.5%
650
 
5.2%
632
 
5.0%
589
 
4.7%
580
 
4.6%
522
 
4.1%
392
 
3.1%
291
 
2.3%
290
 
2.3%
Other values (364) 6883
54.7%
Decimal Number
ValueCountFrequency (%)
0 139
41.5%
1 61
18.2%
5 28
 
8.4%
9 25
 
7.5%
3 16
 
4.8%
2 15
 
4.5%
8 14
 
4.2%
4 14
 
4.2%
7 12
 
3.6%
6 11
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 2618
93.3%
% 115
 
4.1%
. 44
 
1.6%
: 16
 
0.6%
/ 7
 
0.2%
· 3
 
0.1%
\ 1
 
< 0.1%
; 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
A 6
23.1%
M 6
23.1%
B 6
23.1%
L 5
19.2%
E 1
 
3.8%
D 1
 
3.8%
C 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
m 2
40.0%
a 1
20.0%
b 1
20.0%
l 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 663
98.4%
[ 9
 
1.3%
{ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 662
98.4%
] 9
 
1.3%
} 2
 
0.3%
Space Separator
ValueCountFrequency (%)
3036
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12579
62.4%
Common 7532
37.4%
Latin 31
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
938
 
7.5%
813
 
6.5%
650
 
5.2%
632
 
5.0%
589
 
4.7%
580
 
4.6%
522
 
4.1%
392
 
3.1%
291
 
2.3%
290
 
2.3%
Other values (363) 6882
54.7%
Common
ValueCountFrequency (%)
3036
40.3%
, 2618
34.8%
( 663
 
8.8%
) 662
 
8.8%
0 139
 
1.8%
% 115
 
1.5%
1 61
 
0.8%
. 44
 
0.6%
5 28
 
0.4%
9 25
 
0.3%
Other values (18) 141
 
1.9%
Latin
ValueCountFrequency (%)
A 6
19.4%
M 6
19.4%
B 6
19.4%
L 5
16.1%
m 2
 
6.5%
E 1
 
3.2%
D 1
 
3.2%
a 1
 
3.2%
b 1
 
3.2%
l 1
 
3.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12579
62.4%
ASCII 7560
37.5%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3036
40.2%
, 2618
34.6%
( 663
 
8.8%
) 662
 
8.8%
0 139
 
1.8%
% 115
 
1.5%
1 61
 
0.8%
. 44
 
0.6%
5 28
 
0.4%
9 25
 
0.3%
Other values (28) 169
 
2.2%
Hangul
ValueCountFrequency (%)
938
 
7.5%
813
 
6.5%
650
 
5.2%
632
 
5.0%
589
 
4.7%
580
 
4.6%
522
 
4.1%
392
 
3.1%
291
 
2.3%
290
 
2.3%
Other values (363) 6882
54.7%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct367
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T17:13:00.261997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.2256169
Min length2

Characters and Unicode

Total characters5298
Distinct characters318
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

Unique183 ?
Unique (%)21.5%

Sample

1st row(농) 입장주조㈜
2nd row(농)(유)대마주조
3rd row(농)국순당고창명주㈜
4th row(농)유토피아㈜
5th row(유)친구들의 술 지란지교
ValueCountFrequency (%)
농업회사법인 40
 
3.9%
배혜정도가 22
 
2.2%
와이너리 21
 
2.1%
배상면주가 17
 
1.7%
조은술 16
 
1.6%
세종 15
 
1.5%
술샘 15
 
1.5%
주식회사 15
 
1.5%
고도리 13
 
1.3%
청산녹수 10
 
1.0%
Other values (389) 833
81.9%
2023-12-12T17:13:00.773999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295
 
5.6%
254
 
4.8%
173
 
3.3%
166
 
3.1%
160
 
3.0%
144
 
2.7%
140
 
2.6%
131
 
2.5%
124
 
2.3%
116
 
2.2%
Other values (308) 3595
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4946
93.4%
Space Separator 166
 
3.1%
Other Symbol 97
 
1.8%
Close Punctuation 35
 
0.7%
Open Punctuation 35
 
0.7%
Decimal Number 14
 
0.3%
Uppercase Letter 3
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
295
 
6.0%
254
 
5.1%
173
 
3.5%
160
 
3.2%
144
 
2.9%
140
 
2.8%
131
 
2.6%
124
 
2.5%
116
 
2.3%
115
 
2.3%
Other values (295) 3294
66.6%
Decimal Number
ValueCountFrequency (%)
2 6
42.9%
3 2
 
14.3%
1 2
 
14.3%
9 2
 
14.3%
6 1
 
7.1%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Other Symbol
ValueCountFrequency (%)
97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5043
95.2%
Common 252
 
4.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
295
 
5.8%
254
 
5.0%
173
 
3.4%
160
 
3.2%
144
 
2.9%
140
 
2.8%
131
 
2.6%
124
 
2.5%
116
 
2.3%
115
 
2.3%
Other values (296) 3391
67.2%
Common
ValueCountFrequency (%)
166
65.9%
) 35
 
13.9%
( 35
 
13.9%
2 6
 
2.4%
3 2
 
0.8%
1 2
 
0.8%
9 2
 
0.8%
/ 1
 
0.4%
6 1
 
0.4%
4 1
 
0.4%
Latin
ValueCountFrequency (%)
C 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4946
93.4%
ASCII 255
 
4.8%
None 97
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
295
 
6.0%
254
 
5.1%
173
 
3.5%
160
 
3.2%
144
 
2.9%
140
 
2.8%
131
 
2.6%
124
 
2.5%
116
 
2.3%
115
 
2.3%
Other values (295) 3294
66.6%
ASCII
ValueCountFrequency (%)
166
65.1%
) 35
 
13.7%
( 35
 
13.7%
2 6
 
2.4%
C 3
 
1.2%
3 2
 
0.8%
1 2
 
0.8%
9 2
 
0.8%
/ 1
 
0.4%
6 1
 
0.4%
Other values (2) 2
 
0.8%
None
ValueCountFrequency (%)
97
100.0%

Correlations

2023-12-12T17:13:00.893731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도수규격
도수1.0000.897
규격0.8971.000

Missing values

2023-12-12T17:12:56.466741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:12:56.566791image/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

전통주명도수규격주원료제조사
0입장탁주7750ml국내산 쌀(농) 입장주조㈜
1톡 한잔 소주30500ml국내산 보리, 쌀(농)(유)대마주조
2자연담은 복분자막걸리6360ml국내산 복분자(고창), 정제수(농)국순당고창명주㈜
3로얄 안동소주45600ml, 800ml국내산 쌀(농)유토피아㈜
4지란지교17500ml찹쌀,멥쌀,전통누룩(밀),정제수(유)친구들의 술 지란지교
5지란지교 무화과 탁주12500ml찹쌀, 멥쌀(국내산), 전통누룩(국내산 밀), 정제수, 무화과청, 레드비트분말, 밀함유(유)친구들의술지란지교
6지란지교 약주17375ml, 500ml찹쌀, 멥쌀(국내산), 전통누룩(국내산 밀), 정제수, 밀함유(유)친구들의술지란지교
7꽃 와인11.5375ml, 750ml포도(92%(안동 청수 100%))264청포도 와이너리
8인사이더 블루베리3330ml사과, 정제수, 효모, 설탕, 블루베리, 구연산(산도조절제), 합성향료(블루베리향),베리류색소,이산화탄소가나다라브루어리
9로제사이더 오미한잔4.5500ml사과즙(국내산),건조오미자(국내산), 이산화탄소, 효모, 소브산칼륨, 메타중아황산칼륨가나다라브루어리
전통주명도수규격주원료제조사
841세인트하우스 살구와인12500ml살구 80%해미읍성딸기와인
842해창 막걸리 9도9900ml햅쌀, 찹쌀, 물, 누룩해창주조장
843냥이탁주 9도9350ml, 500ml정제수, 쌀(국내산), 찰보리(국내산), 찰수수(국내산), 벌꿀(국내산), 오미자(국내산), 송순(국내산), 누룩, 개량누룩, 밀함유행주산성주가
844냥이탁주 fresh5350ml정제수, 쌀(국내산), 찰보리(국내산), 찰수수(국내산), 벌꿀(국내산), 오미자(국내산), 송순(국내산), 누룩, 개량누룩, 밀함유행주산성주가
845대관령 복분자주16400ml국내산 복분자홍지원
846화백25500ml멥쌀(국내산), 찹쌀(국내산), 누룩(국내산 밀함유), 효모, 정제수화백
847산천어막걸리6750ml정제수,팽화미(쌀/외국산),입국(쌀),국(밀),설탕,정제효소제, 효모,아스파탐(감미료,페닐알라닌 함유)화천주가
848황금보리 증류주 1717375ml보리(국내산) 39.9%, 누룩(국내산)3.3%, 효소(액화효소), 효모(향미증진제), 정제수, 과당, 구연산(산도조절제)황금보리(유)농업회사법인
849황금보리 증류주 2525375ml정제수, 보리(국내산) 40.05%, 누룩, 효소(액화효소), 효모, 과당, 구연산(산도조절제)황금보리(유)농업회사법인
850황금보리 증류주 4040375ml보리(국내산) 40.27%, 누룩, 효소(액화효소), 효모(향미증진제), 정제수, 과당, 구연산(산도조절제)황금보리(유)농업회사법인