Overview

Dataset statistics

Number of variables13
Number of observations45
Missing cells162
Missing cells (%)27.7%
Duplicate rows1
Duplicate rows (%)2.2%
Total size in memory4.8 KiB
Average record size in memory108.9 B

Variable types

Categorical3
Text8
Unsupported2

Dataset

Description경상북도_애완동물용 배합사료 현황_20171130
Author경상북도 축산유통국
URLhttp://data.gb.go.kr/page.do?srchCode=1&srchList=&srchDataTy=&srchKwd=&mnu_uid=106&srchEnable=1&set_uid=372&pageNo=3&step=2

Alerts

Dataset has 1 (2.2%) duplicate rowsDuplicates
사료의 종류 is highly overall correlated with 제조원(수입원) and 1 other fieldsHigh correlation
제조원(수입원) is highly overall correlated with 사료의 종류 and 1 other fieldsHigh correlation
사료의용도 is highly overall correlated with 제조원(수입원) and 1 other fieldsHigh correlation
성분등록번호 has 9 (20.0%) missing valuesMissing
사료성분1 has 9 (20.0%) missing valuesMissing
사료성분2 has 9 (20.0%) missing valuesMissing
사료성분3 has 9 (20.0%) missing valuesMissing
사료성분4 has 9 (20.0%) missing valuesMissing
사료성분5 has 9 (20.0%) missing valuesMissing
사료성분6 has 9 (20.0%) missing valuesMissing
사료성분7 has 9 (20.0%) missing valuesMissing
Unnamed: 11 has 45 (100.0%) missing valuesMissing
Unnamed: 12 has 45 (100.0%) missing valuesMissing
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-15 04:54:43.553846
Analysis finished2023-08-15 04:54:45.588492
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제조원(수입원)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
엘지유니참(주)
13 
마지시앙
12 
<NA>
9 
(주)한국 축산의 희망 서울사료
7 
(주)케이티앤에프
4 

Length

Max length17
Median length9
Mean length7.6222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(주)한국 축산의 희망 서울사료
2nd row(주)한국 축산의 희망 서울사료
3rd row(주)한국 축산의 희망 서울사료
4th row(주)한국 축산의 희망 서울사료
5th row(주)한국 축산의 희망 서울사료

Common Values

ValueCountFrequency (%)
엘지유니참(주) 13
28.9%
마지시앙 12
26.7%
<NA> 9
20.0%
(주)한국 축산의 희망 서울사료 7
15.6%
(주)케이티앤에프 4
 
8.9%

Length

2023-08-15T13:54:45.712384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T13:54:45.939456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
엘지유니참(주 13
19.7%
마지시앙 12
18.2%
na 9
13.6%
주)한국 7
10.6%
축산의 7
10.6%
희망 7
10.6%
서울사료 7
10.6%
주)케이티앤에프 4
 
6.1%

사료의 종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
배합사료-그밖의 동물ㆍ어류용-애완용동물
36 
<NA>
9 

Length

Max length21
Median length21
Mean length17.6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배합사료-그밖의 동물ㆍ어류용-애완용동물
2nd row배합사료-그밖의 동물ㆍ어류용-애완용동물
3rd row배합사료-그밖의 동물ㆍ어류용-애완용동물
4th row배합사료-그밖의 동물ㆍ어류용-애완용동물
5th row배합사료-그밖의 동물ㆍ어류용-애완용동물

Common Values

ValueCountFrequency (%)
배합사료-그밖의 동물ㆍ어류용-애완용동물 36
80.0%
<NA> 9
 
20.0%

Length

2023-08-15T13:54:46.222940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T13:54:46.426103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배합사료-그밖의 36
44.4%
동물ㆍ어류용-애완용동물 36
44.4%
na 9
 
11.1%

성분등록번호
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:46.747476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters324
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st rowIIQUC0254
2nd rowIIQUC0265
3rd rowIIQUC0272
4th rowIIQUC0279
5th rowIIQUC0301
ValueCountFrequency (%)
iiquc0265 1
 
2.8%
iiquc0272 1
 
2.8%
iir200003 1
 
2.8%
iir200004 1
 
2.8%
iir2g0001 1
 
2.8%
iir2g0002 1
 
2.8%
iir2g0003 1
 
2.8%
iir2g0004 1
 
2.8%
iir2g0005 1
 
2.8%
iir2g0006 1
 
2.8%
Other values (26) 26
72.2%
2023-08-15T13:54:47.381900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 108
33.3%
I 72
22.2%
R 29
 
9.0%
2 28
 
8.6%
1 13
 
4.0%
G 13
 
4.0%
L 12
 
3.7%
Q 7
 
2.2%
3 7
 
2.2%
C 7
 
2.2%
Other values (7) 28
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 177
54.6%
Uppercase Letter 147
45.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 108
61.0%
2 28
 
15.8%
1 13
 
7.3%
3 7
 
4.0%
5 4
 
2.3%
4 4
 
2.3%
7 4
 
2.3%
6 3
 
1.7%
9 3
 
1.7%
8 3
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
I 72
49.0%
R 29
19.7%
G 13
 
8.8%
L 12
 
8.2%
Q 7
 
4.8%
C 7
 
4.8%
U 7
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Common 177
54.6%
Latin 147
45.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 108
61.0%
2 28
 
15.8%
1 13
 
7.3%
3 7
 
4.0%
5 4
 
2.3%
4 4
 
2.3%
7 4
 
2.3%
6 3
 
1.7%
9 3
 
1.7%
8 3
 
1.7%
Latin
ValueCountFrequency (%)
I 72
49.0%
R 29
19.7%
G 13
 
8.8%
L 12
 
8.2%
Q 7
 
4.8%
C 7
 
4.8%
U 7
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 108
33.3%
I 72
22.2%
R 29
 
9.0%
2 28
 
8.6%
1 13
 
4.0%
G 13
 
4.0%
L 12
 
3.7%
Q 7
 
2.2%
3 7
 
2.2%
C 7
 
2.2%
Other values (7) 28
 
8.6%

사료의용도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
애완동물용
36 
<NA>
9 

Length

Max length5
Median length5
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
애완동물용 36
80.0%
<NA> 9
 
20.0%

Length

2023-08-15T13:54:47.751725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T13:54:48.085034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
애완동물용 36
80.0%
na 9
 
20.0%

사료성분1
Text

MISSING 

Distinct23
Distinct (%)63.9%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:48.381907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length11.194444
Min length8

Characters and Unicode

Total characters403
Distinct characters25
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

Unique18 ?
Unique (%)50.0%

Sample

1st row조단백질 30.0%이상
2nd row조단백질 30.0%이상
3rd row조단백질 33.5%이상
4th row조단백질 33.0%이상
5th row조단백질 30.0%이상
ValueCountFrequency (%)
조단백질 28
38.9%
30.0%이상 7
 
9.7%
5.0%이상 5
 
6.9%
9.0%이상 3
 
4.2%
인 3
 
4.2%
조지방 3
 
4.2%
수분 2
 
2.8%
14.0%이하 2
 
2.8%
7.0%이상 2
 
2.8%
0.15%이상 1
 
1.4%
Other values (16) 16
22.2%
2023-08-15T13:54:48.968094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
8.9%
0 36
8.9%
. 36
8.9%
% 36
8.9%
이 36
8.9%
상 34
8.4%
조 31
7.7%
백 28
 
6.9%
질 28
 
6.9%
단 28
 
6.9%
Other values (15) 74
18.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
49.6%
Decimal Number 95
23.6%
Other Punctuation 72
 
17.9%
Space Separator 36
 
8.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
18.0%
상 34
17.0%
조 31
15.5%
백 28
14.0%
질 28
14.0%
단 28
14.0%
지 3
 
1.5%
방 3
 
1.5%
인 3
 
1.5%
분 2
 
1.0%
Other values (2) 4
 
2.0%
Decimal Number
ValueCountFrequency (%)
0 36
37.9%
3 14
 
14.7%
5 10
 
10.5%
1 8
 
8.4%
4 8
 
8.4%
6 6
 
6.3%
9 6
 
6.3%
7 3
 
3.2%
2 3
 
3.2%
8 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 36
50.0%
% 36
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 203
50.4%
Hangul 200
49.6%

Most frequent character per script

Common
ValueCountFrequency (%)
36
17.7%
0 36
17.7%
. 36
17.7%
% 36
17.7%
3 14
 
6.9%
5 10
 
4.9%
1 8
 
3.9%
4 8
 
3.9%
6 6
 
3.0%
9 6
 
3.0%
Other values (3) 7
 
3.4%
Hangul
ValueCountFrequency (%)
이 36
18.0%
상 34
17.0%
조 31
15.5%
백 28
14.0%
질 28
14.0%
단 28
14.0%
지 3
 
1.5%
방 3
 
1.5%
인 3
 
1.5%
분 2
 
1.0%
Other values (2) 4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
50.4%
Hangul 200
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
17.7%
0 36
17.7%
. 36
17.7%
% 36
17.7%
3 14
 
6.9%
5 10
 
4.9%
1 8
 
3.9%
4 8
 
3.9%
6 6
 
3.0%
9 6
 
3.0%
Other values (3) 7
 
3.4%
Hangul
ValueCountFrequency (%)
이 36
18.0%
상 34
17.0%
조 31
15.5%
백 28
14.0%
질 28
14.0%
단 28
14.0%
지 3
 
1.5%
방 3
 
1.5%
인 3
 
1.5%
분 2
 
1.0%
Other values (2) 4
 
2.0%

사료성분2
Text

MISSING 

Distinct25
Distinct (%)69.4%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:49.241066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length10.583333
Min length10

Characters and Unicode

Total characters381
Distinct characters26
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

Unique19 ?
Unique (%)52.8%

Sample

1st row조지방 10.0%이상
2nd row조지방 10.0%이상
3rd row조지방 13.5%이상
4th row조지방 17.0%이상
5th row조지방 18.0%이상
ValueCountFrequency (%)
조지방 28
38.9%
0.02%이상 4
 
5.6%
조단백질 4
 
5.6%
8.0%이상 4
 
5.6%
0.2%이상 3
 
4.2%
조섬유 3
 
4.2%
0.5%이하 2
 
2.8%
0.1%이상 2
 
2.8%
10.0%이상 2
 
2.8%
18.0%이상 1
 
1.4%
Other values (19) 19
26.4%
2023-08-15T13:54:49.801086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
9.4%
. 36
9.4%
0 36
9.4%
% 36
9.4%
이 36
9.4%
조 35
9.2%
상 33
8.7%
지 28
7.3%
방 28
7.3%
2 13
 
3.4%
Other values (16) 64
16.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
48.0%
Decimal Number 90
23.6%
Other Punctuation 72
 
18.9%
Space Separator 36
 
9.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
19.7%
조 35
19.1%
상 33
18.0%
지 28
15.3%
방 28
15.3%
단 4
 
2.2%
백 4
 
2.2%
질 4
 
2.2%
유 3
 
1.6%
섬 3
 
1.6%
Other values (3) 5
 
2.7%
Decimal Number
ValueCountFrequency (%)
0 36
40.0%
2 13
 
14.4%
1 12
 
13.3%
5 8
 
8.9%
8 7
 
7.8%
3 3
 
3.3%
7 3
 
3.3%
6 3
 
3.3%
9 3
 
3.3%
4 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 36
50.0%
% 36
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
52.0%
Hangul 183
48.0%

Most frequent character per script

Common
ValueCountFrequency (%)
36
18.2%
. 36
18.2%
0 36
18.2%
% 36
18.2%
2 13
 
6.6%
1 12
 
6.1%
5 8
 
4.0%
8 7
 
3.5%
3 3
 
1.5%
7 3
 
1.5%
Other values (3) 8
 
4.0%
Hangul
ValueCountFrequency (%)
이 36
19.7%
조 35
19.1%
상 33
18.0%
지 28
15.3%
방 28
15.3%
단 4
 
2.2%
백 4
 
2.2%
질 4
 
2.2%
유 3
 
1.6%
섬 3
 
1.6%
Other values (3) 5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
52.0%
Hangul 183
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
18.2%
. 36
18.2%
0 36
18.2%
% 36
18.2%
2 13
 
6.6%
1 12
 
6.1%
5 8
 
4.0%
8 7
 
3.5%
3 3
 
1.5%
7 3
 
1.5%
Other values (3) 8
 
4.0%
Hangul
ValueCountFrequency (%)
이 36
19.7%
조 35
19.1%
상 33
18.0%
지 28
15.3%
방 28
15.3%
단 4
 
2.2%
백 4
 
2.2%
질 4
 
2.2%
유 3
 
1.6%
섬 3
 
1.6%
Other values (3) 5
 
2.7%

사료성분3
Text

MISSING 

Distinct20
Distinct (%)55.6%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:50.083197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.6666667
Min length8

Characters and Unicode

Total characters348
Distinct characters26
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

Unique15 ?
Unique (%)41.7%

Sample

1st row칼슘 1.0%이상
2nd row칼슘 1.0%이상
3rd row칼슘 1.0%이상
4th row칼슘 0.95%이상
5th row칼슘 1.0%이상
ValueCountFrequency (%)
칼슘 15
20.8%
조섬유 12
16.7%
0.5%이하 9
12.5%
1.0%이상 6
 
8.3%
조회분 3
 
4.2%
조지방 3
 
4.2%
0.2%이상 3
 
4.2%
0.3%이상 2
 
2.8%
수분 2
 
2.8%
14.0%이하 2
 
2.8%
Other values (14) 15
20.8%
2023-08-15T13:54:50.645518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 36
10.3%
이 36
10.3%
36
10.3%
. 36
10.3%
0 32
 
9.2%
상 19
 
5.5%
조 18
 
5.2%
하 17
 
4.9%
칼 15
 
4.3%
슘 15
 
4.3%
Other values (16) 88
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
46.3%
Decimal Number 79
22.7%
Other Punctuation 72
20.7%
Space Separator 36
 
10.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
22.4%
상 19
11.8%
조 18
11.2%
하 17
10.6%
칼 15
9.3%
슘 15
9.3%
유 12
 
7.5%
섬 12
 
7.5%
분 5
 
3.1%
지 3
 
1.9%
Other values (4) 9
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 32
40.5%
1 13
16.5%
5 12
 
15.2%
2 6
 
7.6%
3 5
 
6.3%
4 5
 
6.3%
6 3
 
3.8%
9 2
 
2.5%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
% 36
50.0%
. 36
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
53.7%
Hangul 161
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
22.4%
상 19
11.8%
조 18
11.2%
하 17
10.6%
칼 15
9.3%
슘 15
9.3%
유 12
 
7.5%
섬 12
 
7.5%
분 5
 
3.1%
지 3
 
1.9%
Other values (4) 9
 
5.6%
Common
ValueCountFrequency (%)
% 36
19.3%
36
19.3%
. 36
19.3%
0 32
17.1%
1 13
 
7.0%
5 12
 
6.4%
2 6
 
3.2%
3 5
 
2.7%
4 5
 
2.7%
6 3
 
1.6%
Other values (2) 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
53.7%
Hangul 161
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 36
19.3%
36
19.3%
. 36
19.3%
0 32
17.1%
1 13
 
7.0%
5 12
 
6.4%
2 6
 
3.2%
3 5
 
2.7%
4 5
 
2.7%
6 3
 
1.6%
Other values (2) 3
 
1.6%
Hangul
ValueCountFrequency (%)
이 36
22.4%
상 19
11.8%
조 18
11.2%
하 17
10.6%
칼 15
9.3%
슘 15
9.3%
유 12
 
7.5%
섬 12
 
7.5%
분 5
 
3.1%
지 3
 
1.9%
Other values (4) 9
 
5.6%

사료성분4
Text

MISSING 

Distinct19
Distinct (%)52.8%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:50.920765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10.5
Mean length9.1944444
Min length7

Characters and Unicode

Total characters331
Distinct characters24
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

Unique12 ?
Unique (%)33.3%

Sample

1st row인 0.8%이상
2nd row인 0.8%이상
3rd row인 0.9%이상
4th row인 0.85%이상
5th row인 0.8%이상
ValueCountFrequency (%)
인 16
22.2%
조회분 11
15.3%
3.0%이하 9
12.5%
0.8%이상 5
 
6.9%
조섬유 4
 
5.6%
수분 3
 
4.2%
0.5%이상 2
 
2.8%
14.0%이하 2
 
2.8%
0.3%이상 2
 
2.8%
0.08%이상 2
 
2.8%
Other values (14) 16
22.2%
2023-08-15T13:54:51.532719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
11.2%
이 36
10.9%
36
10.9%
. 36
10.9%
% 35
10.6%
상 18
 
5.4%
하 18
 
5.4%
인 16
 
4.8%
조 15
 
4.5%
분 14
 
4.2%
Other values (14) 70
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
43.2%
Decimal Number 81
24.5%
Other Punctuation 71
21.5%
Space Separator 36
 
10.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
25.2%
상 18
12.6%
하 18
12.6%
인 16
11.2%
조 15
10.5%
분 14
 
9.8%
회 11
 
7.7%
섬 4
 
2.8%
유 4
 
2.8%
수 3
 
2.1%
Other values (2) 4
 
2.8%
Decimal Number
ValueCountFrequency (%)
0 37
45.7%
3 12
 
14.8%
8 10
 
12.3%
1 6
 
7.4%
5 6
 
7.4%
4 4
 
4.9%
2 3
 
3.7%
9 2
 
2.5%
7 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 36
50.7%
% 35
49.3%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
56.8%
Hangul 143
43.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
19.7%
36
19.1%
. 36
19.1%
% 35
18.6%
3 12
 
6.4%
8 10
 
5.3%
1 6
 
3.2%
5 6
 
3.2%
4 4
 
2.1%
2 3
 
1.6%
Other values (2) 3
 
1.6%
Hangul
ValueCountFrequency (%)
이 36
25.2%
상 18
12.6%
하 18
12.6%
인 16
11.2%
조 15
10.5%
분 14
 
9.8%
회 11
 
7.7%
섬 4
 
2.8%
유 4
 
2.8%
수 3
 
2.1%
Other values (2) 4
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
56.8%
Hangul 143
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
19.7%
36
19.1%
. 36
19.1%
% 35
18.6%
3 12
 
6.4%
8 10
 
5.3%
1 6
 
3.2%
5 6
 
3.2%
4 4
 
2.1%
2 3
 
1.6%
Other values (2) 3
 
1.6%
Hangul
ValueCountFrequency (%)
이 36
25.2%
상 18
12.6%
하 18
12.6%
인 16
11.2%
조 15
10.5%
분 14
 
9.8%
회 11
 
7.7%
섬 4
 
2.8%
유 4
 
2.8%
수 3
 
2.1%
Other values (2) 4
 
2.8%

사료성분5
Text

MISSING 

Distinct22
Distinct (%)61.1%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:52.084620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.083333
Min length8

Characters and Unicode

Total characters363
Distinct characters27
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

Unique15 ?
Unique (%)41.7%

Sample

1st row조섬유 4.0%이하
2nd row조섬유 4.0%이하
3rd row조섬유 4.0%이하
4th row수분 10.0%이하
5th row조섬유 4.0%이하
ValueCountFrequency (%)
조섬유 13
18.1%
수분 12
16.7%
조회분 5
 
6.9%
4.0%이하 5
 
6.9%
2.0%이하 4
 
5.6%
93.0%이하 3
 
4.2%
89.0%이하 3
 
4.2%
칼슘 2
 
2.8%
조단백질 2
 
2.8%
인 2
 
2.8%
Other values (17) 21
29.2%
2023-08-15T13:54:52.648362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38
10.5%
36
9.9%
. 36
9.9%
% 36
9.9%
이 36
9.9%
하 30
 
8.3%
조 20
 
5.5%
분 17
 
4.7%
유 13
 
3.6%
섬 13
 
3.6%
Other values (17) 88
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
45.2%
Decimal Number 91
25.1%
Other Punctuation 72
19.8%
Space Separator 36
 
9.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
22.0%
하 30
18.3%
조 20
12.2%
분 17
10.4%
유 13
 
7.9%
섬 13
 
7.9%
수 12
 
7.3%
상 6
 
3.7%
회 5
 
3.0%
칼 2
 
1.2%
Other values (5) 10
 
6.1%
Decimal Number
ValueCountFrequency (%)
0 38
41.8%
9 12
 
13.2%
4 8
 
8.8%
1 8
 
8.8%
2 7
 
7.7%
3 6
 
6.6%
8 5
 
5.5%
7 4
 
4.4%
5 3
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 36
50.0%
% 36
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
54.8%
Hangul 164
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
22.0%
하 30
18.3%
조 20
12.2%
분 17
10.4%
유 13
 
7.9%
섬 13
 
7.9%
수 12
 
7.3%
상 6
 
3.7%
회 5
 
3.0%
칼 2
 
1.2%
Other values (5) 10
 
6.1%
Common
ValueCountFrequency (%)
0 38
19.1%
36
18.1%
. 36
18.1%
% 36
18.1%
9 12
 
6.0%
4 8
 
4.0%
1 8
 
4.0%
2 7
 
3.5%
3 6
 
3.0%
8 5
 
2.5%
Other values (2) 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
54.8%
Hangul 164
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38
19.1%
36
18.1%
. 36
18.1%
% 36
18.1%
9 12
 
6.0%
4 8
 
4.0%
1 8
 
4.0%
2 7
 
3.5%
3 6
 
3.0%
8 5
 
2.5%
Other values (2) 7
 
3.5%
Hangul
ValueCountFrequency (%)
이 36
22.0%
하 30
18.3%
조 20
12.2%
분 17
10.4%
유 13
 
7.9%
섬 13
 
7.9%
수 12
 
7.3%
상 6
 
3.7%
회 5
 
3.0%
칼 2
 
1.2%
Other values (5) 10
 
6.1%

사료성분6
Text

MISSING 

Distinct27
Distinct (%)75.0%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:53.113271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.055556
Min length8

Characters and Unicode

Total characters362
Distinct characters27
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

Unique21 ?
Unique (%)58.3%

Sample

1st row조회분 11.0%이하
2nd row조회분 11.0%이하
3rd row조회분 12.0%이하
4th row조섬유 7.0%이하
5th row조회분 10.0%이하
ValueCountFrequency (%)
조회분 13
18.1%
칼슘 11
15.3%
7.0%이하 4
 
5.6%
조섬유 4
 
5.6%
0.03%이상 4
 
5.6%
인 3
 
4.2%
수분 3
 
4.2%
0.5%이상 2
 
2.8%
0.02%이상 2
 
2.8%
11.0%이하 2
 
2.8%
Other values (22) 24
33.3%
2023-08-15T13:54:53.775804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
11.6%
36
 
9.9%
. 36
 
9.9%
% 36
 
9.9%
이 36
 
9.9%
하 20
 
5.5%
조 19
 
5.2%
상 16
 
4.4%
분 16
 
4.4%
회 13
 
3.6%
Other values (17) 92
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
44.2%
Decimal Number 94
26.0%
Other Punctuation 72
19.9%
Space Separator 36
 
9.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
22.5%
하 20
12.5%
조 19
11.9%
상 16
10.0%
분 16
10.0%
회 13
 
8.1%
슘 11
 
6.9%
칼 11
 
6.9%
섬 4
 
2.5%
유 4
 
2.5%
Other values (4) 10
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 42
44.7%
1 12
 
12.8%
3 9
 
9.6%
2 6
 
6.4%
7 5
 
5.3%
5 5
 
5.3%
4 5
 
5.3%
9 5
 
5.3%
8 3
 
3.2%
6 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 36
50.0%
% 36
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 202
55.8%
Hangul 160
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
22.5%
하 20
12.5%
조 19
11.9%
상 16
10.0%
분 16
10.0%
회 13
 
8.1%
슘 11
 
6.9%
칼 11
 
6.9%
섬 4
 
2.5%
유 4
 
2.5%
Other values (4) 10
 
6.2%
Common
ValueCountFrequency (%)
0 42
20.8%
36
17.8%
. 36
17.8%
% 36
17.8%
1 12
 
5.9%
3 9
 
4.5%
2 6
 
3.0%
7 5
 
2.5%
5 5
 
2.5%
4 5
 
2.5%
Other values (3) 10
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 202
55.8%
Hangul 160
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
20.8%
36
17.8%
. 36
17.8%
% 36
17.8%
1 12
 
5.9%
3 9
 
4.5%
2 6
 
3.0%
7 5
 
2.5%
5 5
 
2.5%
4 5
 
2.5%
Other values (3) 10
 
5.0%
Hangul
ValueCountFrequency (%)
이 36
22.5%
하 20
12.5%
조 19
11.9%
상 16
10.0%
분 16
10.0%
회 13
 
8.1%
슘 11
 
6.9%
칼 11
 
6.9%
섬 4
 
2.5%
유 4
 
2.5%
Other values (4) 10
 
6.2%

사료성분7
Text

MISSING 

Distinct21
Distinct (%)58.3%
Missing9
Missing (%)20.0%
Memory size492.0 B
2023-08-15T13:54:54.192338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6944444
Min length8

Characters and Unicode

Total characters349
Distinct characters26
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

Unique15 ?
Unique (%)41.7%

Sample

1st row수분 12.0%이하
2nd row수분 12.0%이하
3rd row수분 12.0%이하
4th row조회분 11.0%이하
5th row수분 14.0%이하
ValueCountFrequency (%)
수분 14
19.4%
인 11
15.3%
14.0%이하 7
9.7%
12.0%이하 6
 
8.3%
칼슘 5
 
6.9%
조회분 4
 
5.6%
0.13%이상 2
 
2.8%
11.0%이하 2
 
2.8%
0.16%이상 2
 
2.8%
조단백질 2
 
2.8%
Other values (16) 17
23.6%
2023-08-15T13:54:54.899785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38
10.9%
36
10.3%
. 36
10.3%
% 36
10.3%
이 36
10.3%
1 28
 
8.0%
상 18
 
5.2%
하 18
 
5.2%
분 18
 
5.2%
수 14
 
4.0%
Other values (16) 71
20.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
40.4%
Decimal Number 100
28.7%
Other Punctuation 72
20.6%
Space Separator 36
 
10.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
25.5%
상 18
12.8%
하 18
12.8%
분 18
12.8%
수 14
 
9.9%
인 11
 
7.8%
조 6
 
4.3%
칼 5
 
3.5%
슘 5
 
3.5%
회 4
 
2.8%
Other values (3) 6
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 38
38.0%
1 28
28.0%
4 10
 
10.0%
2 8
 
8.0%
5 4
 
4.0%
6 4
 
4.0%
3 3
 
3.0%
9 2
 
2.0%
8 2
 
2.0%
7 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 36
50.0%
% 36
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208
59.6%
Hangul 141
40.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38
18.3%
36
17.3%
. 36
17.3%
% 36
17.3%
1 28
13.5%
4 10
 
4.8%
2 8
 
3.8%
5 4
 
1.9%
6 4
 
1.9%
3 3
 
1.4%
Other values (3) 5
 
2.4%
Hangul
ValueCountFrequency (%)
이 36
25.5%
상 18
12.8%
하 18
12.8%
분 18
12.8%
수 14
 
9.9%
인 11
 
7.8%
조 6
 
4.3%
칼 5
 
3.5%
슘 5
 
3.5%
회 4
 
2.8%
Other values (3) 6
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 208
59.6%
Hangul 141
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38
18.3%
36
17.3%
. 36
17.3%
% 36
17.3%
1 28
13.5%
4 10
 
4.8%
2 8
 
3.8%
5 4
 
1.9%
6 4
 
1.9%
3 3
 
1.4%
Other values (3) 5
 
2.4%
Hangul
ValueCountFrequency (%)
이 36
25.5%
상 18
12.8%
하 18
12.8%
분 18
12.8%
수 14
 
9.9%
인 11
 
7.8%
조 6
 
4.3%
칼 5
 
3.5%
슘 5
 
3.5%
회 4
 
2.8%
Other values (3) 6
 
4.3%

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

Correlations

2023-08-15T13:54:55.459896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제조원(수입원)성분등록번호사료성분1사료성분2사료성분3사료성분4사료성분5사료성분6사료성분7
제조원(수입원)1.0001.0000.8550.9891.0000.9811.0001.0000.789
성분등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
사료성분10.8551.0001.0000.9900.9770.9810.9790.9700.890
사료성분20.9891.0000.9901.0000.9700.9580.9900.9650.891
사료성분31.0001.0000.9770.9701.0000.9790.9700.9710.785
사료성분40.9811.0000.9810.9580.9791.0000.9470.9860.655
사료성분51.0001.0000.9790.9900.9700.9471.0000.9720.957
사료성분61.0001.0000.9700.9650.9710.9860.9721.0000.921
사료성분70.7891.0000.8900.8910.7850.6550.9570.9211.000
2023-08-15T13:54:55.703984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사료의 종류제조원(수입원)사료의용도
사료의 종류1.0001.0001.000
제조원(수입원)1.0001.0001.000
사료의용도1.0001.0001.000
2023-08-15T13:54:55.895753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제조원(수입원)사료의 종류사료의용도
제조원(수입원)1.0001.0001.000
사료의 종류1.0001.0001.000
사료의용도1.0001.0001.000

Missing values

2023-08-15T13:54:44.628388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-15T13:54:45.002240image/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.
2023-08-15T13:54:45.308581image/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

제조원(수입원)사료의 종류성분등록번호사료의용도사료성분1사료성분2사료성분3사료성분4사료성분5사료성분6사료성분7Unnamed: 11Unnamed: 12
0(주)한국 축산의 희망 서울사료배합사료-그밖의 동물ㆍ어류용-애완용동물IIQUC0254애완동물용조단백질 30.0%이상조지방 10.0%이상칼슘 1.0%이상인 0.8%이상조섬유 4.0%이하조회분 11.0%이하수분 12.0%이하<NA><NA>
1(주)한국 축산의 희망 서울사료배합사료-그밖의 동물ㆍ어류용-애완용동물IIQUC0265애완동물용조단백질 30.0%이상조지방 10.0%이상칼슘 1.0%이상인 0.8%이상조섬유 4.0%이하조회분 11.0%이하수분 12.0%이하<NA><NA>
2(주)한국 축산의 희망 서울사료배합사료-그밖의 동물ㆍ어류용-애완용동물IIQUC0272애완동물용조단백질 33.5%이상조지방 13.5%이상칼슘 1.0%이상인 0.9%이상조섬유 4.0%이하조회분 12.0%이하수분 12.0%이하<NA><NA>
3(주)한국 축산의 희망 서울사료배합사료-그밖의 동물ㆍ어류용-애완용동물IIQUC0279애완동물용조단백질 33.0%이상조지방 17.0%이상칼슘 0.95%이상인 0.85%이상수분 10.0%이하조섬유 7.0%이하조회분 11.0%이하<NA><NA>
4(주)한국 축산의 희망 서울사료배합사료-그밖의 동물ㆍ어류용-애완용동물IIQUC0301애완동물용조단백질 30.0%이상조지방 18.0%이상칼슘 1.0%이상인 0.8%이상조섬유 4.0%이하조회분 10.0%이하수분 14.0%이하<NA><NA>
5(주)한국 축산의 희망 서울사료배합사료-그밖의 동물ㆍ어류용-애완용동물IIQUC0302애완동물용조단백질 28.0%이상조지방 15.0%이상칼슘 1.0%이상인 0.8%이상조섬유 4.0%이하조회분 10.0%이하수분 14.0%이하<NA><NA>
6(주)한국 축산의 희망 서울사료배합사료-그밖의 동물ㆍ어류용-애완용동물IIQUC0308애완동물용조단백질 30.0%이상조지방 12.0%이상칼슘 1.0%이상인 0.8%이상수분 12.0%이하조섬유 4.0%이하조회분 11.0%이하<NA><NA>
7마지시앙배합사료-그밖의 동물ㆍ어류용-애완용동물IIR0L0001애완동물용수분 14.0%이하조단백질 66.9%이상조지방 2.8%이상조섬유 0.01%이하조회분 7.9%이하인 0.5%이상칼슘 0.01%이상<NA><NA>
8마지시앙배합사료-그밖의 동물ㆍ어류용-애완용동물IIR0L0002애완동물용수분 14.0%이하조단백질 54.8%이상조지방 14.3%이상조섬유 0.01%이하조회분 3.7%이하칼슘 0.3%이상인 0.5%이상<NA><NA>
9마지시앙배합사료-그밖의 동물ㆍ어류용-애완용동물IIR0L0003애완동물용조단백질 64.4%이상조지방 2.2%이상조섬유 0.01%이하조회분 5.1%이하칼슘 0.05%이상인 0.5%이상수분 14.0%이하<NA><NA>
제조원(수입원)사료의 종류성분등록번호사료의용도사료성분1사료성분2사료성분3사료성분4사료성분5사료성분6사료성분7Unnamed: 11Unnamed: 12
35엘지유니참(주)배합사료-그밖의 동물ㆍ어류용-애완용동물IIR2G0013애완동물용조단백질 0.6%이상조지방 0.01%이상조섬유 0.5%이하조회분 3.0%이하수분 98.0%이하칼슘 0.03%이상인 0.1%이상<NA><NA>
36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

제조원(수입원)사료의 종류성분등록번호사료의용도사료성분1사료성분2사료성분3사료성분4사료성분5사료성분6사료성분7# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9