Overview

Dataset statistics

Number of variables10
Number of observations47
Missing cells15
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory83.8 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
판매문의 has 5 (10.6%) missing valuesMissing
홈페이지 has 10 (21.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:45:22.407187
Analysis finished2024-01-09 21:45:23.093469
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T06:45:23.149388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2024-01-10T06:45:23.250418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

인증마크
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
서산뜨레
47 

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 47
100.0%

Length

2024-01-10T06:45:23.342865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:23.409344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서산뜨레 47
100.0%

인증기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
서산시
47 

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 47
100.0%

Length

2024-01-10T06:45:23.493821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:23.577876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서산시 47
100.0%

제품명
Text

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T06:45:23.759716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length6.4893617
Min length2

Characters and Unicode

Total characters305
Distinct characters124
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

Unique39 ?
Unique (%)83.0%

Sample

1st row뜸부기와 함께 자란 쌀
2nd row뜸부기와 함께 자란 쌀
3rd row뜸부기쌀 쌀국수
4th row산수향 6쪽마늘
5th row흑마늘
ValueCountFrequency (%)
감태 4
 
5.7%
6쪽마늘 2
 
2.9%
뜸부기와 2
 
2.9%
함께 2
 
2.9%
자란 2
 
2.9%
쌀 2
 
2.9%
어리굴젓 2
 
2.9%
무화과 1
 
1.4%
블루베리(생과 1
 
1.4%
아로니아(착즙액 1
 
1.4%
Other values (51) 51
72.9%
2024-01-10T06:45:24.053872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
7.5%
, 9
 
3.0%
기 8
 
2.6%
마 8
 
2.6%
( 7
 
2.3%
) 7
 
2.3%
미 7
 
2.3%
고 7
 
2.3%
리 6
 
2.0%
늘 6
 
2.0%
Other values (114) 217
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
83.0%
Space Separator 23
 
7.5%
Other Punctuation 10
 
3.3%
Open Punctuation 7
 
2.3%
Close Punctuation 7
 
2.3%
Decimal Number 5
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 8
 
3.2%
마 8
 
3.2%
미 7
 
2.8%
고 7
 
2.8%
리 6
 
2.4%
늘 6
 
2.4%
홍 5
 
2.0%
스 5
 
2.0%
장 5
 
2.0%
삼 5
 
2.0%
Other values (108) 191
75.5%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
6 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
82.6%
Common 52
 
17.0%
Han 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 8
 
3.2%
마 8
 
3.2%
미 7
 
2.8%
고 7
 
2.8%
리 6
 
2.4%
늘 6
 
2.4%
홍 5
 
2.0%
스 5
 
2.0%
장 5
 
2.0%
삼 5
 
2.0%
Other values (107) 190
75.4%
Common
ValueCountFrequency (%)
23
44.2%
, 9
 
17.3%
( 7
 
13.5%
) 7
 
13.5%
6 5
 
9.6%
& 1
 
1.9%
Han
ValueCountFrequency (%)
米 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
82.6%
ASCII 52
 
17.0%
CJK 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
44.2%
, 9
 
17.3%
( 7
 
13.5%
) 7
 
13.5%
6 5
 
9.6%
& 1
 
1.9%
Hangul
ValueCountFrequency (%)
기 8
 
3.2%
마 8
 
3.2%
미 7
 
2.8%
고 7
 
2.8%
리 6
 
2.4%
늘 6
 
2.4%
홍 5
 
2.0%
스 5
 
2.0%
장 5
 
2.0%
삼 5
 
2.0%
Other values (107) 190
75.4%
CJK
ValueCountFrequency (%)
米 1
100.0%

생산업체
Text

Distinct40
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T06:45:24.489852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length8.6808511
Min length2

Characters and Unicode

Total characters408
Distinct characters125
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

Unique35 ?
Unique (%)74.5%

Sample

1st row대산농협 미곡종합처리장
2nd row농업회사법인 ㈜새들만
3rd row서산농업협동조합
4th row서산태안6쪽마늘조합공동사업법인
5th row서산태안6쪽마늘조합공동사업법인
ValueCountFrequency (%)
서산인삼농업협동조합 4
 
7.4%
농업회사법인 4
 
7.4%
정동식품 2
 
3.7%
서산태안6쪽마늘조합공동사업법인 2
 
3.7%
블루베리영농조합법인 2
 
3.7%
영농조합법인 2
 
3.7%
참샘골식품 2
 
3.7%
㈜옛향기마을방앗간 1
 
1.9%
대산농협 1
 
1.9%
미곡종합처리장 1
 
1.9%
Other values (33) 33
61.1%
2024-01-10T06:45:24.790507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 27
 
6.6%
인 25
 
6.1%
합 19
 
4.7%
산 19
 
4.7%
서 18
 
4.4%
법 18
 
4.4%
조 18
 
4.4%
업 16
 
3.9%
영 10
 
2.5%
사 10
 
2.5%
Other values (115) 228
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 391
95.8%
Space Separator 7
 
1.7%
Other Symbol 6
 
1.5%
Decimal Number 2
 
0.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 27
 
6.9%
인 25
 
6.4%
합 19
 
4.9%
산 19
 
4.9%
서 18
 
4.6%
법 18
 
4.6%
조 18
 
4.6%
업 16
 
4.1%
영 10
 
2.6%
사 10
 
2.6%
Other values (110) 211
54.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Decimal Number
ValueCountFrequency (%)
6 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
97.3%
Common 11
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 27
 
6.8%
인 25
 
6.3%
합 19
 
4.8%
산 19
 
4.8%
서 18
 
4.5%
법 18
 
4.5%
조 18
 
4.5%
업 16
 
4.0%
영 10
 
2.5%
사 10
 
2.5%
Other values (111) 217
54.7%
Common
ValueCountFrequency (%)
7
63.6%
6 2
 
18.2%
) 1
 
9.1%
( 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 391
95.8%
ASCII 11
 
2.7%
None 6
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 27
 
6.9%
인 25
 
6.4%
합 19
 
4.9%
산 19
 
4.9%
서 18
 
4.6%
법 18
 
4.6%
조 18
 
4.6%
업 16
 
4.1%
영 10
 
2.6%
사 10
 
2.6%
Other values (110) 211
54.0%
ASCII
ValueCountFrequency (%)
7
63.6%
6 2
 
18.2%
) 1
 
9.1%
( 1
 
9.1%
None
ValueCountFrequency (%)
㈜ 6
100.0%

대 표
Text

Distinct40
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T06:45:24.988478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9787234
Min length2

Characters and Unicode

Total characters140
Distinct characters68
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

Unique35 ?
Unique (%)74.5%

Sample

1st row김용호
2nd row윤석용
3rd row한기만
4th row이범래
5th row이범래
ValueCountFrequency (%)
김낙영 4
 
8.5%
노순난 2
 
4.3%
안인숙 2
 
4.3%
이범래 2
 
4.3%
최근명 2
 
4.3%
김정희 1
 
2.1%
이수길 1
 
2.1%
김용호 1
 
2.1%
김택원 1
 
2.1%
송주현 1
 
2.1%
Other values (30) 30
63.8%
2024-01-10T06:45:25.240499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
9.3%
이 7
 
5.0%
영 5
 
3.6%
낙 4
 
2.9%
박 4
 
2.9%
성 4
 
2.9%
순 4
 
2.9%
정 4
 
2.9%
범 3
 
2.1%
한 3
 
2.1%
Other values (58) 89
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
9.3%
이 7
 
5.0%
영 5
 
3.6%
낙 4
 
2.9%
박 4
 
2.9%
성 4
 
2.9%
순 4
 
2.9%
정 4
 
2.9%
범 3
 
2.1%
한 3
 
2.1%
Other values (58) 89
63.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
9.3%
이 7
 
5.0%
영 5
 
3.6%
낙 4
 
2.9%
박 4
 
2.9%
성 4
 
2.9%
순 4
 
2.9%
정 4
 
2.9%
범 3
 
2.1%
한 3
 
2.1%
Other values (58) 89
63.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
9.3%
이 7
 
5.0%
영 5
 
3.6%
낙 4
 
2.9%
박 4
 
2.9%
성 4
 
2.9%
순 4
 
2.9%
정 4
 
2.9%
범 3
 
2.1%
한 3
 
2.1%
Other values (58) 89
63.6%

주 소
Text

Distinct41
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T06:45:25.448951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.87234
Min length16

Characters and Unicode

Total characters981
Distinct characters99
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)78.7%

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 47
21.1%
서산시 47
21.1%
음암면 6
 
2.7%
부석면 5
 
2.2%
11 5
 
2.2%
대산읍 5
 
2.2%
인지면 5
 
2.2%
고북면 4
 
1.8%
해미면 4
 
1.8%
남부순환로 4
 
1.8%
Other values (80) 91
40.8%
2024-01-10T06:45:25.749190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
17.9%
산 64
 
6.5%
1 57
 
5.8%
남 52
 
5.3%
서 50
 
5.1%
충 48
 
4.9%
청 48
 
4.9%
도 48
 
4.9%
시 47
 
4.8%
면 29
 
3.0%
Other values (89) 362
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 612
62.4%
Space Separator 176
 
17.9%
Decimal Number 172
 
17.5%
Dash Punctuation 20
 
2.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 64
 
10.5%
남 52
 
8.5%
서 50
 
8.2%
충 48
 
7.8%
청 48
 
7.8%
도 48
 
7.8%
시 47
 
7.7%
면 29
 
4.7%
길 27
 
4.4%
로 20
 
3.3%
Other values (76) 179
29.2%
Decimal Number
ValueCountFrequency (%)
1 57
33.1%
2 20
 
11.6%
4 19
 
11.0%
3 16
 
9.3%
7 13
 
7.6%
6 13
 
7.6%
5 12
 
7.0%
9 9
 
5.2%
8 7
 
4.1%
0 6
 
3.5%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 612
62.4%
Common 369
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 64
 
10.5%
남 52
 
8.5%
서 50
 
8.2%
충 48
 
7.8%
청 48
 
7.8%
도 48
 
7.8%
시 47
 
7.7%
면 29
 
4.7%
길 27
 
4.4%
로 20
 
3.3%
Other values (76) 179
29.2%
Common
ValueCountFrequency (%)
176
47.7%
1 57
 
15.4%
2 20
 
5.4%
- 20
 
5.4%
4 19
 
5.1%
3 16
 
4.3%
7 13
 
3.5%
6 13
 
3.5%
5 12
 
3.3%
9 9
 
2.4%
Other values (3) 14
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 612
62.4%
ASCII 369
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
47.7%
1 57
 
15.4%
2 20
 
5.4%
- 20
 
5.4%
4 19
 
5.1%
3 16
 
4.3%
7 13
 
3.5%
6 13
 
3.5%
5 12
 
3.3%
9 9
 
2.4%
Other values (3) 14
 
3.8%
Hangul
ValueCountFrequency (%)
산 64
 
10.5%
남 52
 
8.5%
서 50
 
8.2%
충 48
 
7.8%
청 48
 
7.8%
도 48
 
7.8%
시 47
 
7.7%
면 29
 
4.7%
길 27
 
4.4%
로 20
 
3.3%
Other values (76) 179
29.2%

판매문의
Text

MISSING 

Distinct36
Distinct (%)85.7%
Missing5
Missing (%)10.6%
Memory size508.0 B
2024-01-10T06:45:25.928350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.309524
Min length12

Characters and Unicode

Total characters517
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

Unique32 ?
Unique (%)76.2%

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
 
9.5%
041-667-0309 2
 
4.8%
041-668-6450 2
 
4.8%
041-663-8180 2
 
4.8%
041-663-3560 1
 
2.4%
041-662-6397 1
 
2.4%
041-688-4182 1
 
2.4%
041-688-7920 1
 
2.4%
041-688-6821 1
 
2.4%
041-664-9779 1
 
2.4%
Other values (26) 26
61.9%
2024-01-10T06:45:26.208182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 96
18.6%
- 84
16.2%
0 73
14.1%
4 62
12.0%
1 60
11.6%
8 31
 
6.0%
5 26
 
5.0%
3 24
 
4.6%
2 21
 
4.1%
9 19
 
3.7%
Other values (2) 21
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 427
82.6%
Dash Punctuation 84
 
16.2%
Math Symbol 6
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 96
22.5%
0 73
17.1%
4 62
14.5%
1 60
14.1%
8 31
 
7.3%
5 26
 
6.1%
3 24
 
5.6%
2 21
 
4.9%
9 19
 
4.4%
7 15
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 96
18.6%
- 84
16.2%
0 73
14.1%
4 62
12.0%
1 60
11.6%
8 31
 
6.0%
5 26
 
5.0%
3 24
 
4.6%
2 21
 
4.1%
9 19
 
3.7%
Other values (2) 21
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 96
18.6%
- 84
16.2%
0 73
14.1%
4 62
12.0%
1 60
11.6%
8 31
 
6.0%
5 26
 
5.0%
3 24
 
4.6%
2 21
 
4.1%
9 19
 
3.7%
Other values (2) 21
 
4.1%

홈페이지
Text

MISSING 

Distinct31
Distinct (%)83.8%
Missing10
Missing (%)21.3%
Memory size508.0 B
2024-01-10T06:45:26.391851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length24.702703
Min length15

Characters and Unicode

Total characters914
Distinct characters53
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

Unique27 ?
Unique (%)73.0%

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
 
10.8%
http://www.camsemgol.com 2
 
5.4%
http://www.honghoa.com 2
 
5.4%
http://mall.sansoohyang.co.kr 2
 
5.4%
http://hanok7007.co.kr 1
 
2.7%
http://garorimbays.com 1
 
2.7%
http://www.bluepang.co.kr 1
 
2.7%
http://www.aramag.co.kr 1
 
2.7%
http://winesb.co.kr 1
 
2.7%
http://oldaroma.com 1
 
2.7%
Other values (21) 21
56.8%
2024-01-10T06:45:26.678223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 84
 
9.2%
t 80
 
8.8%
o 75
 
8.2%
. 71
 
7.8%
h 56
 
6.1%
a 52
 
5.7%
w 52
 
5.7%
p 48
 
5.3%
m 45
 
4.9%
c 37
 
4.0%
Other values (43) 314
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 678
74.2%
Other Punctuation 192
 
21.0%
Decimal Number 24
 
2.6%
Other Letter 13
 
1.4%
Uppercase Letter 5
 
0.5%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 80
11.8%
o 75
11.1%
h 56
 
8.3%
a 52
 
7.7%
w 52
 
7.7%
p 48
 
7.1%
m 45
 
6.6%
c 37
 
5.5%
n 37
 
5.5%
s 35
 
5.2%
Other values (13) 161
23.7%
Other Letter
ValueCountFrequency (%)
농 2
15.4%
상 1
7.7%
든 1
7.7%
월 1
7.7%
의 1
7.7%
부 1
7.7%
밥 1
7.7%
이 1
7.7%
장 1
7.7%
참 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
2 5
20.8%
1 4
16.7%
6 4
16.7%
0 3
12.5%
7 3
12.5%
4 3
12.5%
5 1
 
4.2%
3 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 84
43.8%
. 71
37.0%
: 36
18.8%
? 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
M 2
40.0%
I 1
20.0%
V 1
20.0%
D 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 683
74.7%
Common 218
 
23.9%
Hangul 13
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 80
11.7%
o 75
11.0%
h 56
 
8.2%
a 52
 
7.6%
w 52
 
7.6%
p 48
 
7.0%
m 45
 
6.6%
c 37
 
5.4%
n 37
 
5.4%
s 35
 
5.1%
Other values (17) 166
24.3%
Common
ValueCountFrequency (%)
/ 84
38.5%
. 71
32.6%
: 36
16.5%
2 5
 
2.3%
1 4
 
1.8%
6 4
 
1.8%
0 3
 
1.4%
7 3
 
1.4%
4 3
 
1.4%
5 1
 
0.5%
Other values (4) 4
 
1.8%
Hangul
ValueCountFrequency (%)
농 2
15.4%
상 1
7.7%
든 1
7.7%
월 1
7.7%
의 1
7.7%
부 1
7.7%
밥 1
7.7%
이 1
7.7%
장 1
7.7%
참 1
7.7%
Other values (2) 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 901
98.6%
Hangul 13
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 84
 
9.3%
t 80
 
8.9%
o 75
 
8.3%
. 71
 
7.9%
h 56
 
6.2%
a 52
 
5.8%
w 52
 
5.8%
p 48
 
5.3%
m 45
 
5.0%
c 37
 
4.1%
Other values (31) 301
33.4%
Hangul
ValueCountFrequency (%)
농 2
15.4%
상 1
7.7%
든 1
7.7%
월 1
7.7%
의 1
7.7%
부 1
7.7%
밥 1
7.7%
이 1
7.7%
장 1
7.7%
참 1
7.7%
Other values (2) 2
15.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2017-03-27
47 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-03-27
2nd row2017-03-27
3rd row2017-03-27
4th row2017-03-27
5th row2017-03-27

Common Values

ValueCountFrequency (%)
2017-03-27 47
100.0%

Length

2024-01-10T06:45:26.782691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:26.847769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-03-27 47
100.0%

Interactions

2024-01-10T06:45:22.791137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:45:26.895705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제품명생산업체대 표주 소판매문의홈페이지
연번1.0000.9050.9890.9890.9900.9900.989
제품명0.9051.0000.0000.0000.5980.6990.000
생산업체0.9890.0001.0001.0001.0001.0001.000
대 표0.9890.0001.0001.0001.0001.0001.000
주 소0.9900.5981.0001.0001.0001.0001.000
판매문의0.9900.6991.0001.0001.0001.0001.000
홈페이지0.9890.0001.0001.0001.0001.0001.000

Missing values

2024-01-10T06:45:22.873750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:45:22.981988image/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.
2024-01-10T06:45:23.057846image/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

연번인증마크인증기관제품명생산업체대 표주 소판매문의홈페이지데이터기준일자
01서산뜨레서산시뜸부기와 함께 자란 쌀대산농협 미곡종합처리장김용호충청남도 서산시 대산읍 운산청량1길 9-13041-663-3560http://www.daesannh.com/shopping2017-03-27
12서산뜨레서산시뜸부기와 함께 자란 쌀농업회사법인 ㈜새들만윤석용충청남도 서산시 고북면 서창로 243-99041-669-8485http://hsfi.co.kr2017-03-27
23서산뜨레서산시뜸부기쌀 쌀국수서산농업협동조합한기만충청남도 서산시 동서1로 157041-660-4850<NA>2017-03-27
34서산뜨레서산시산수향 6쪽마늘서산태안6쪽마늘조합공동사업법인이범래충청남도 서산시 인지면 무학재1길 111041-668-6450http://mall.sansoohyang.co.kr2017-03-27
45서산뜨레서산시흑마늘서산태안6쪽마늘조합공동사업법인이범래충청남도 서산시 인지면 무학재1길 111041-668-6450http://mall.sansoohyang.co.kr2017-03-27
56서산뜨레서산시어리굴젓섬마을이경자충청남도 서산시 부석면 천수만로 1048041-669-1290~1http://www.summaul.net2017-03-27
67서산뜨레서산시6년근수삼서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2017-03-27
78서산뜨레서산시홍삼액골드서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2017-03-27
89서산뜨레서산시홍삼액플러스서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2017-03-27
910서산뜨레서산시홍삼정서산인삼농업협동조합김낙영충청남도 서산시 남부순환로 11041-664-0561~2http://seosaninsamshop.com2017-03-27
연번인증마크인증기관제품명생산업체대 표주 소판매문의홈페이지데이터기준일자
3738서산뜨레서산시아이스플랜트 스킨케어팩파머스인메이김예주충청남도 서산시 음암면 황금터길 4<NA>http://5월의농부.kr2017-03-27
3839서산뜨레서산시표고버섯한다리표고김택원충청남도 서산시 음암면 한다리길 20<NA><NA>2017-03-27
3940서산뜨레서산시된장, 고추장, 간장두루맛한금남충청남도 서산시 음암면 진동길 98-6041-664-9302http://blog.naver.com/ecoarea/2206114347612017-03-27
4041서산뜨레서산시사과가야사과작목반이형찬충청남도 서산시 음암면 간대산길 7-16041-663-5703<NA>2017-03-27
4142서산뜨레서산시딸기와인농업회사법인 (주)해미읍성딸기와인선권수충청남도 서산시 고북면 산직마을길 85041-688-3980http://winesb.co.kr/2017-03-27
4243서산뜨레서산시꽃송이버섯농업회사법인 ㈜아람김석범충청남도 서산시 고북면 산직마을길 75-32041-429-2999http://www.aramag.co.kr2017-03-27
4344서산뜨레서산시절임배추한옥마을김동길충청남도 서산시 해미면 들녘길 224-1041-681-7003http://hanok7007.co.kr2017-03-27
4445서산뜨레서산시감태도성어촌계박정섭충청남도 서산시 지곡면 도성로 374-8<NA>http://garorimbays.com2017-03-27
4546서산뜨레서산시감자고로케, 6쪽마늘떡갈비, 6쪽마늘 함박스테이크㈜이든밥상문덕암충청남도 서산시 학동1길 15041-666-1066http://이든밥상.com2017-03-27
4647서산뜨레서산시흑미가을농장장상순충청남도 서산시 죽성4길 14-12041-665-7901http://gaeulfarm.com/2017-03-27