Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells4
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory87.0 B

Variable types

Numeric1
Categorical3
Text6

Dataset

Description서산시에서 인증하는 서산뜨레 인증마크 획득 농특산물 정보로, 제품명, 생산업체, 판매문의 전화번호 등의 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=445&beforeMenuCd=DOM_000000201001001000&publicdatapk=3080553

Alerts

인증마크 has constant value ""Constant
인증기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
홈페이지 has 4 (18.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:45:27.554492
Analysis finished2024-01-09 21:45:28.083736
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-10T06:45:28.127896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-01-10T06:45:28.212770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

인증마크
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
서산뜨레
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서산뜨레 22
100.0%

Length

2024-01-10T06:45:28.298439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:28.373924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서산뜨레 22
100.0%

인증기관
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
서산시
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서산시 22
100.0%

Length

2024-01-10T06:45:28.449956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:28.518959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서산시 22
100.0%

제품명
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-10T06:45:28.650898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7.5
Mean length5.5
Min length2

Characters and Unicode

Total characters121
Distinct characters68
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row뜸부기와 함께 자란 쌀
2nd row뜸부기와 함께 자란 쌀
3rd row뜸부기쌀 쌀국수
4th row산수향 6쪽마늘
5th row흑마늘
ValueCountFrequency (%)
뜸부기와 2
 
6.1%
자란 2
 
6.1%
쌀 2
 
6.1%
함께 2
 
6.1%
호박즙 1
 
3.0%
블루베리(열매 1
 
3.0%
냉이 1
 
3.0%
조청 1
 
3.0%
노을米 1
 
3.0%
서친샘 1
 
3.0%
Other values (19) 19
57.6%
2024-01-10T06:45:28.899058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
9.1%
홍 5
 
4.1%
마 5
 
4.1%
쌀 4
 
3.3%
삼 4
 
3.3%
늘 4
 
3.3%
기 4
 
3.3%
부 3
 
2.5%
리 3
 
2.5%
수 3
 
2.5%
Other values (58) 75
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
86.0%
Space Separator 11
 
9.1%
Decimal Number 3
 
2.5%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 5
 
4.8%
마 5
 
4.8%
쌀 4
 
3.8%
삼 4
 
3.8%
늘 4
 
3.8%
기 4
 
3.8%
부 3
 
2.9%
리 3
 
2.9%
수 3
 
2.9%
뜸 3
 
2.9%
Other values (53) 66
63.5%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
6 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
85.1%
Common 17
 
14.0%
Han 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 5
 
4.9%
마 5
 
4.9%
쌀 4
 
3.9%
삼 4
 
3.9%
늘 4
 
3.9%
기 4
 
3.9%
부 3
 
2.9%
리 3
 
2.9%
수 3
 
2.9%
뜸 3
 
2.9%
Other values (52) 65
63.1%
Common
ValueCountFrequency (%)
11
64.7%
6 3
 
17.6%
( 1
 
5.9%
) 1
 
5.9%
& 1
 
5.9%
Han
ValueCountFrequency (%)
米 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
85.1%
ASCII 17
 
14.0%
CJK 1
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
64.7%
6 3
 
17.6%
( 1
 
5.9%
) 1
 
5.9%
& 1
 
5.9%
Hangul
ValueCountFrequency (%)
홍 5
 
4.9%
마 5
 
4.9%
쌀 4
 
3.9%
삼 4
 
3.9%
늘 4
 
3.9%
기 4
 
3.9%
부 3
 
2.9%
리 3
 
2.9%
수 3
 
2.9%
뜸 3
 
2.9%
Other values (52) 65
63.1%
CJK
ValueCountFrequency (%)
米 1
100.0%

생산업체
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-10T06:45:29.052096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length9.3636364
Min length3

Characters and Unicode

Total characters206
Distinct characters70
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

Unique12 ?
Unique (%)54.5%

Sample

1st row대산농협 미곡종합처리장
2nd row농업회사법인 ㈜새들만
3rd row서산농업협동조합
4th row서산?태안6쪽마늘조합공동사업법인
5th row서산?태안6쪽마늘조합공동사업법인
ValueCountFrequency (%)
서산인삼농업협동조합 4
16.0%
참샘골식품 2
 
8.0%
정동식품 2
 
8.0%
서산?태안6쪽마늘조합공동사업법인 2
 
8.0%
김정규자연건강영농조합법인 1
 
4.0%
블루베리영농조합법인 1
 
4.0%
부다니냉이속새작목반 1
 
4.0%
서산명가 1
 
4.0%
영농조합법인 1
 
4.0%
서산친환경영농조합법인 1
 
4.0%
Other values (9) 9
36.0%
2024-01-10T06:45:29.305034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 13
 
6.3%
합 13
 
6.3%
서 12
 
5.8%
인 12
 
5.8%
농 12
 
5.8%
조 12
 
5.8%
업 9
 
4.4%
동 9
 
4.4%
법 8
 
3.9%
협 6
 
2.9%
Other values (60) 100
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
96.1%
Space Separator 3
 
1.5%
Decimal Number 2
 
1.0%
Other Punctuation 2
 
1.0%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 13
 
6.6%
합 13
 
6.6%
서 12
 
6.1%
인 12
 
6.1%
농 12
 
6.1%
조 12
 
6.1%
업 9
 
4.5%
동 9
 
4.5%
법 8
 
4.0%
협 6
 
3.0%
Other values (56) 92
46.5%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
6 2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
96.6%
Common 7
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 13
 
6.5%
합 13
 
6.5%
서 12
 
6.0%
인 12
 
6.0%
농 12
 
6.0%
조 12
 
6.0%
업 9
 
4.5%
동 9
 
4.5%
법 8
 
4.0%
협 6
 
3.0%
Other values (57) 93
46.7%
Common
ValueCountFrequency (%)
3
42.9%
6 2
28.6%
? 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
96.1%
ASCII 7
 
3.4%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 13
 
6.6%
합 13
 
6.6%
서 12
 
6.1%
인 12
 
6.1%
농 12
 
6.1%
조 12
 
6.1%
업 9
 
4.5%
동 9
 
4.5%
법 8
 
4.0%
협 6
 
3.0%
Other values (56) 92
46.5%
ASCII
ValueCountFrequency (%)
3
42.9%
6 2
28.6%
? 2
28.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대 표
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-10T06:45:29.434267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)54.5%

Sample

1st row김용호
2nd row윤석용
3rd row한기만
4th row이범래
5th row이범래
ValueCountFrequency (%)
김낙영 4
18.2%
이범래 2
 
9.1%
최근명 2
 
9.1%
노순난 2
 
9.1%
김용호 1
 
4.5%
윤석용 1
 
4.5%
한기만 1
 
4.5%
이경자 1
 
4.5%
김춘배 1
 
4.5%
김정규 1
 
4.5%
Other values (6) 6
27.3%
2024-01-10T06:45:29.649223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
10.6%
영 5
 
7.6%
낙 4
 
6.1%
이 3
 
4.5%
최 3
 
4.5%
순 2
 
3.0%
춘 2
 
3.0%
성 2
 
3.0%
용 2
 
3.0%
난 2
 
3.0%
Other values (28) 34
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
10.6%
영 5
 
7.6%
낙 4
 
6.1%
이 3
 
4.5%
최 3
 
4.5%
순 2
 
3.0%
춘 2
 
3.0%
성 2
 
3.0%
용 2
 
3.0%
난 2
 
3.0%
Other values (28) 34
51.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
10.6%
영 5
 
7.6%
낙 4
 
6.1%
이 3
 
4.5%
최 3
 
4.5%
순 2
 
3.0%
춘 2
 
3.0%
성 2
 
3.0%
용 2
 
3.0%
난 2
 
3.0%
Other values (28) 34
51.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
10.6%
영 5
 
7.6%
낙 4
 
6.1%
이 3
 
4.5%
최 3
 
4.5%
순 2
 
3.0%
춘 2
 
3.0%
성 2
 
3.0%
용 2
 
3.0%
난 2
 
3.0%
Other values (28) 34
51.5%

주 소
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-10T06:45:29.802907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23.5
Mean length20.545455
Min length16

Characters and Unicode

Total characters452
Distinct characters64
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 (%)54.5%

Sample

1st row충청남도 서산시 대산읍 운산청량1길 9-13
2nd row충청남도 서산시 고북면 서창로 243-99
3rd row충청남도 서산시 동서1로 157
4th row충청남도 서산시 인지면 무학재1길 111
5th row충청남도 서산시 인지면 무학재1길 111
ValueCountFrequency (%)
충청남도 22
21.6%
서산시 22
21.6%
남부순환로 4
 
3.9%
11 4
 
3.9%
인지면 4
 
3.9%
대산읍 3
 
2.9%
부석면 3
 
2.9%
111 2
 
2.0%
무학재1길 2
 
2.0%
음암면 2
 
2.0%
Other values (29) 34
33.3%
2024-01-10T06:45:30.055836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
17.7%
산 31
 
6.9%
1 30
 
6.6%
남 26
 
5.8%
서 25
 
5.5%
청 23
 
5.1%
충 22
 
4.9%
도 22
 
4.9%
시 22
 
4.9%
로 13
 
2.9%
Other values (54) 158
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
63.7%
Space Separator 80
 
17.7%
Decimal Number 77
 
17.0%
Dash Punctuation 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 31
 
10.8%
남 26
 
9.0%
서 25
 
8.7%
청 23
 
8.0%
충 22
 
7.6%
도 22
 
7.6%
시 22
 
7.6%
로 13
 
4.5%
면 11
 
3.8%
길 9
 
3.1%
Other values (42) 84
29.2%
Decimal Number
ValueCountFrequency (%)
1 30
39.0%
4 9
 
11.7%
3 8
 
10.4%
2 8
 
10.4%
7 6
 
7.8%
6 5
 
6.5%
0 3
 
3.9%
9 3
 
3.9%
5 3
 
3.9%
8 2
 
2.6%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
63.7%
Common 164
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 31
 
10.8%
남 26
 
9.0%
서 25
 
8.7%
청 23
 
8.0%
충 22
 
7.6%
도 22
 
7.6%
시 22
 
7.6%
로 13
 
4.5%
면 11
 
3.8%
길 9
 
3.1%
Other values (42) 84
29.2%
Common
ValueCountFrequency (%)
80
48.8%
1 30
 
18.3%
4 9
 
5.5%
3 8
 
4.9%
2 8
 
4.9%
- 7
 
4.3%
7 6
 
3.7%
6 5
 
3.0%
0 3
 
1.8%
9 3
 
1.8%
Other values (2) 5
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
63.7%
ASCII 164
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
48.8%
1 30
 
18.3%
4 9
 
5.5%
3 8
 
4.9%
2 8
 
4.9%
- 7
 
4.3%
7 6
 
3.7%
6 5
 
3.0%
0 3
 
1.8%
9 3
 
1.8%
Other values (2) 5
 
3.0%
Hangul
ValueCountFrequency (%)
산 31
 
10.8%
남 26
 
9.0%
서 25
 
8.7%
청 23
 
8.0%
충 22
 
7.6%
도 22
 
7.6%
시 22
 
7.6%
로 13
 
4.5%
면 11
 
3.8%
길 9
 
3.1%
Other values (42) 84
29.2%

판매문의
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-10T06:45:30.192155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.545455
Min length12

Characters and Unicode

Total characters276
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)54.5%

Sample

1st row041-663-3560
2nd row041-669-8485
3rd row041-660-4850
4th row041-668-6450
5th row041-668-6450
ValueCountFrequency (%)
041-664-0561~2 4
18.2%
041-668-6450 2
 
9.1%
041-663-8180 2
 
9.1%
041-667-0309 2
 
9.1%
041-663-3560 1
 
4.5%
041-669-8485 1
 
4.5%
041-660-4850 1
 
4.5%
041-669-1290~1 1
 
4.5%
041-665-4625 1
 
4.5%
041-663-5154 1
 
4.5%
Other values (6) 6
27.3%
2024-01-10T06:45:30.435451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 56
20.3%
- 44
15.9%
0 39
14.1%
4 33
12.0%
1 33
12.0%
5 18
 
6.5%
8 14
 
5.1%
3 13
 
4.7%
2 11
 
4.0%
~ 6
 
2.2%
Other values (2) 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 226
81.9%
Dash Punctuation 44
 
15.9%
Math Symbol 6
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 56
24.8%
0 39
17.3%
4 33
14.6%
1 33
14.6%
5 18
 
8.0%
8 14
 
6.2%
3 13
 
5.8%
2 11
 
4.9%
9 6
 
2.7%
7 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 56
20.3%
- 44
15.9%
0 39
14.1%
4 33
12.0%
1 33
12.0%
5 18
 
6.5%
8 14
 
5.1%
3 13
 
4.7%
2 11
 
4.0%
~ 6
 
2.2%
Other values (2) 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 56
20.3%
- 44
15.9%
0 39
14.1%
4 33
12.0%
1 33
12.0%
5 18
 
6.5%
8 14
 
5.1%
3 13
 
4.7%
2 11
 
4.0%
~ 6
 
2.2%
Other values (2) 9
 
3.3%

홈페이지
Text

MISSING 

Distinct12
Distinct (%)66.7%
Missing4
Missing (%)18.2%
Memory size308.0 B
2024-01-10T06:45:30.578686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27.5
Mean length24.388889
Min length17

Characters and Unicode

Total characters439
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)44.4%

Sample

1st rowhttp://www.daesannh.com/shopping
2nd rowhttp://hsfi.co.kr
3rd rowhttp://mall.sansoohyang.co.kr
4th rowhttp://mall.sansoohyang.co.kr
5th rowhttp://www.summaul.net
ValueCountFrequency (%)
http://seosaninsamshop.com 4
22.2%
http://mall.sansoohyang.co.kr 2
11.1%
http://www.camsemgol.com 2
11.1%
http://www.honghoa.com 2
11.1%
http://www.daesannh.com/shopping 1
 
5.6%
http://hsfi.co.kr 1
 
5.6%
http://www.summaul.net 1
 
5.6%
http://www.hanwooshop.kr 1
 
5.6%
http://6262nong.com 1
 
5.6%
http://www.seosanmg.com 1
 
5.6%
Other values (2) 2
11.1%
2024-01-10T06:45:30.835860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 40
 
9.1%
t 38
 
8.7%
/ 37
 
8.4%
h 33
 
7.5%
. 33
 
7.5%
w 31
 
7.1%
s 30
 
6.8%
m 26
 
5.9%
p 25
 
5.7%
a 24
 
5.5%
Other values (16) 122
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 347
79.0%
Other Punctuation 88
 
20.0%
Decimal Number 4
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 40
11.5%
t 38
11.0%
h 33
9.5%
w 31
8.9%
s 30
8.6%
m 26
7.5%
p 25
7.2%
a 24
6.9%
n 24
6.9%
c 17
 
4.9%
Other values (11) 59
17.0%
Other Punctuation
ValueCountFrequency (%)
/ 37
42.0%
. 33
37.5%
: 18
20.5%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
2 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 347
79.0%
Common 92
 
21.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 40
11.5%
t 38
11.0%
h 33
9.5%
w 31
8.9%
s 30
8.6%
m 26
7.5%
p 25
7.2%
a 24
6.9%
n 24
6.9%
c 17
 
4.9%
Other values (11) 59
17.0%
Common
ValueCountFrequency (%)
/ 37
40.2%
. 33
35.9%
: 18
19.6%
6 2
 
2.2%
2 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 439
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 40
 
9.1%
t 38
 
8.7%
/ 37
 
8.4%
h 33
 
7.5%
. 33
 
7.5%
w 31
 
7.1%
s 30
 
6.8%
m 26
 
5.9%
p 25
 
5.7%
a 24
 
5.5%
Other values (16) 122
27.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2016-05-13
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-05-13
2nd row2016-05-13
3rd row2016-05-13
4th row2016-05-13
5th row2016-05-13

Common Values

ValueCountFrequency (%)
2016-05-13 22
100.0%

Length

2024-01-10T06:45:30.933825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:31.012990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-05-13 22
100.0%

Interactions

2024-01-10T06:45:27.847453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:45:31.081999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제품명생산업체대 표주 소판매문의홈페이지
연번1.0001.0000.9390.9390.9390.9390.948
제품명1.0001.0000.8850.8850.8850.8850.785
생산업체0.9390.8851.0001.0001.0001.0001.000
대 표0.9390.8851.0001.0001.0001.0001.000
주 소0.9390.8851.0001.0001.0001.0001.000
판매문의0.9390.8851.0001.0001.0001.0001.000
홈페이지0.9480.7851.0001.0001.0001.0001.000

Missing values

2024-01-10T06:45:27.932938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:45:28.042630image/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

연번인증마크인증기관제품명생산업체대 표주 소판매문의홈페이지데이터기준일자
01서산뜨레서산시뜸부기와 함께 자란 쌀대산농협 미곡종합처리장김용호충청남도 서산시 대산읍 운산청량1길 9-13041-663-3560http://www.daesannh.com/shopping2016-05-13
12서산뜨레서산시뜸부기와 함께 자란 쌀농업회사법인 ㈜새들만윤석용충청남도 서산시 고북면 서창로 243-99041-669-8485http://hsfi.co.kr2016-05-13
23서산뜨레서산시뜸부기쌀 쌀국수서산농업협동조합한기만충청남도 서산시 동서1로 157041-660-4850<NA>2016-05-13
34서산뜨레서산시산수향 6쪽마늘서산?태안6쪽마늘조합공동사업법인이범래충청남도 서산시 인지면 무학재1길 111041-668-6450http://mall.sansoohyang.co.kr2016-05-13
45서산뜨레서산시흑마늘서산?태안6쪽마늘조합공동사업법인이범래충청남도 서산시 인지면 무학재1길 111041-668-6450http://mall.sansoohyang.co.kr2016-05-13
56서산뜨레서산시어리굴젓섬마을이경자충청남도 서산시 부석면 천수만로 1048041-669-1290~1http://www.summaul.net2016-05-13
67서산뜨레서산시6년근수삼서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2016-05-13
78서산뜨레서산시홍삼액골드서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2016-05-13
89서산뜨레서산시홍삼액플러스서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2016-05-13
910서산뜨레서산시홍삼정서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2016-05-13
연번인증마크인증기관제품명생산업체대 표주 소판매문의홈페이지데이터기준일자
1213서산뜨레서산시호박즙참샘골식품최근명충청남도 서산시 대산읍 운산나루터길 71041-663-8180http://www.camsemgol.com2016-05-13
1314서산뜨레서산시홍화씨 환정동식품노순난충청남도 서산시 인지면 마산로 267041-667-0309http://www.honghoa.com2016-05-13
1415서산뜨레서산시구운6쪽마늘환정동식품노순난충청남도 서산시 인지면 마산로 267041-667-0309http://www.honghoa.com2016-05-13
1516서산뜨레서산시홍마늘 꿀 엑기스김정규자연건강영농조합법인김정규충청남도 서산시 부석면 강경벌로 446-18041-663-5154http://6262nong.com2016-05-13
1617서산뜨레서산시서친샘서산유기영농조합법인홍은미충청남도 서산시 서해로 3611041-669-6233<NA>2016-05-13
1718서산뜨레서산시노을米서산친환경영농조합법인황춘성충청남도 서산시 음암면 말목길 233-20041-681-6262<NA>2016-05-13
1819서산뜨레서산시조청영농조합법인 서산명가최영자충청남도 서산시 부석면 봉락지산길 231-15041-662-7055http://www.seosanmg.com2016-05-13
1920서산뜨레서산시냉이부다니냉이속새작목반유덕환충청남도 서산시 음암면 송바위골길 36-34041-663-5835<NA>2016-05-13
2021서산뜨레서산시블루베리(열매)블루베리영농조합법인안인숙충청남도 서산시 해미면 해운로 407-45041-688-4182~3http://www.goblueberry.net2016-05-13
2122서산뜨레서산시감태서산마루식품박성찬충청남도 서산시 부춘공원2로 14041-666-6635http://www.kimnsea.com2016-05-13