Overview

Dataset statistics

Number of variables10
Number of observations52
Missing cells16
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory83.5 B

Variable types

Numeric1
Text7
Categorical2

Dataset

Description전북특별자치도 지사 인증을 받은 상품 현황 데이터입니다. (업체명, 대표자, 상품, 인증번호, 소재지, 주소, 전화번호, 팩스 등)
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055604/fileData.do

Alerts

전화번호 has 8 (15.4%) missing valuesMissing
팩스 has 8 (15.4%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique
상품 has unique valuesUnique
인증번호 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:20:08.694088
Analysis finished2024-03-14 19:20:11.064238
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size596.0 B
2024-03-15T04:20:11.307508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2024-03-15T04:20:11.664982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

업체명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T04:20:12.653483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length7.8846154
Min length3

Characters and Unicode

Total characters410
Distinct characters151
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

Unique52 ?
Unique (%)100.0%

Sample

1st row㈜디자인농부
2nd row㈜명진
3rd row㈜인텍
4th row전주콩나물영농조합법인
5th row㈜풍년제과
ValueCountFrequency (%)
영농조합법인 3
 
5.2%
㈜디자인농부 1
 
1.7%
두메산골영농조합법인 1
 
1.7%
유)새만금유기농꾸지뽕 1
 
1.7%
에코파낙스 1
 
1.7%
완주한우협동조합 1
 
1.7%
영)무지개임실치즈 1
 
1.7%
두마리목장 1
 
1.7%
부안마케팅영농조합법인 1
 
1.7%
내변산 1
 
1.7%
Other values (46) 46
79.3%
2024-03-15T04:20:14.111309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 20
 
4.9%
농 19
 
4.6%
조 19
 
4.6%
영 19
 
4.6%
인 18
 
4.4%
법 14
 
3.4%
㈜ 12
 
2.9%
리 9
 
2.2%
9
 
2.2%
산 8
 
2.0%
Other values (141) 263
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
92.0%
Other Symbol 12
 
2.9%
Space Separator 9
 
2.2%
Close Punctuation 6
 
1.5%
Open Punctuation 6
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 20
 
5.3%
농 19
 
5.0%
조 19
 
5.0%
영 19
 
5.0%
인 18
 
4.8%
법 14
 
3.7%
리 9
 
2.4%
산 8
 
2.1%
주 8
 
2.1%
동 8
 
2.1%
Other values (137) 235
62.3%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
94.9%
Common 21
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 20
 
5.1%
농 19
 
4.9%
조 19
 
4.9%
영 19
 
4.9%
인 18
 
4.6%
법 14
 
3.6%
㈜ 12
 
3.1%
리 9
 
2.3%
산 8
 
2.1%
주 8
 
2.1%
Other values (138) 243
62.5%
Common
ValueCountFrequency (%)
9
42.9%
) 6
28.6%
( 6
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
92.0%
ASCII 21
 
5.1%
None 12
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 20
 
5.3%
농 19
 
5.0%
조 19
 
5.0%
영 19
 
5.0%
인 18
 
4.8%
법 14
 
3.7%
리 9
 
2.4%
산 8
 
2.1%
주 8
 
2.1%
동 8
 
2.1%
Other values (137) 235
62.3%
None
ValueCountFrequency (%)
㈜ 12
100.0%
ASCII
ValueCountFrequency (%)
9
42.9%
) 6
28.6%
( 6
28.6%

대표자
Text

Distinct49
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T04:20:15.271042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9807692
Min length2

Characters and Unicode

Total characters155
Distinct characters56
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)88.5%

Sample

1st row김*섬
2nd row허*
3rd row이*선
4th row양*혁
5th row강*웅
ValueCountFrequency (%)
김*자 2
 
3.8%
김*훈 2
 
3.8%
이*현 2
 
3.8%
김*주 1
 
1.9%
홍*길 1
 
1.9%
이*훈 1
 
1.9%
김*섬 1
 
1.9%
이*성 1
 
1.9%
조*호 1
 
1.9%
심*섭 1
 
1.9%
Other values (39) 39
75.0%
2024-03-15T04:20:16.415407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 52
33.5%
김 12
 
7.7%
이 7
 
4.5%
정 4
 
2.6%
최 4
 
2.6%
호 3
 
1.9%
자 3
 
1.9%
현 3
 
1.9%
훈 3
 
1.9%
섭 3
 
1.9%
Other values (46) 61
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
66.5%
Other Punctuation 52
33.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
11.7%
이 7
 
6.8%
정 4
 
3.9%
최 4
 
3.9%
호 3
 
2.9%
자 3
 
2.9%
현 3
 
2.9%
훈 3
 
2.9%
섭 3
 
2.9%
옥 3
 
2.9%
Other values (45) 58
56.3%
Other Punctuation
ValueCountFrequency (%)
* 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
66.5%
Common 52
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
11.7%
이 7
 
6.8%
정 4
 
3.9%
최 4
 
3.9%
호 3
 
2.9%
자 3
 
2.9%
현 3
 
2.9%
훈 3
 
2.9%
섭 3
 
2.9%
옥 3
 
2.9%
Other values (45) 58
56.3%
Common
ValueCountFrequency (%)
* 52
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
66.5%
ASCII 52
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 52
100.0%
Hangul
ValueCountFrequency (%)
김 12
 
11.7%
이 7
 
6.8%
정 4
 
3.9%
최 4
 
3.9%
호 3
 
2.9%
자 3
 
2.9%
현 3
 
2.9%
훈 3
 
2.9%
섭 3
 
2.9%
옥 3
 
2.9%
Other values (45) 58
56.3%

상품
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T04:20:17.443427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.1538462
Min length2

Characters and Unicode

Total characters372
Distinct characters191
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row검은콩미숫가루 블랙빈
2nd row고무장갑
3rd rowHOOOAH MASK
4th row친환경전주콩나물
5th rowPNB우리밀 초코파이
ValueCountFrequency (%)
검은콩미숫가루 1
 
1.4%
할루미치즈 1
 
1.4%
마음편한 1
 
1.4%
체어 1
 
1.4%
슬라이딩 1
 
1.4%
데스크톱 1
 
1.4%
부안참뽕주 1
 
1.4%
바뜨랑양파 1
 
1.4%
두마리목장 1
 
1.4%
토종콩찌개청국장 1
 
1.4%
Other values (60) 60
85.7%
2024-03-15T04:20:18.674113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
4.8%
장 10
 
2.7%
한 9
 
2.4%
마 8
 
2.2%
고 8
 
2.2%
리 7
 
1.9%
기 7
 
1.9%
지 6
 
1.6%
우 6
 
1.6%
주 6
 
1.6%
Other values (181) 287
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 325
87.4%
Space Separator 18
 
4.8%
Uppercase Letter 13
 
3.5%
Open Punctuation 4
 
1.1%
Close Punctuation 4
 
1.1%
Lowercase Letter 4
 
1.1%
Decimal Number 3
 
0.8%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 10
 
3.1%
한 9
 
2.8%
마 8
 
2.5%
고 8
 
2.5%
리 7
 
2.2%
기 7
 
2.2%
지 6
 
1.8%
우 6
 
1.8%
주 6
 
1.8%
이 6
 
1.8%
Other values (162) 252
77.5%
Uppercase Letter
ValueCountFrequency (%)
O 3
23.1%
H 2
15.4%
A 2
15.4%
B 1
 
7.7%
N 1
 
7.7%
P 1
 
7.7%
K 1
 
7.7%
S 1
 
7.7%
M 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
p 1
25.0%
l 1
25.0%
u 1
25.0%
s 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 325
87.4%
Common 30
 
8.1%
Latin 17
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 10
 
3.1%
한 9
 
2.8%
마 8
 
2.5%
고 8
 
2.5%
리 7
 
2.2%
기 7
 
2.2%
지 6
 
1.8%
우 6
 
1.8%
주 6
 
1.8%
이 6
 
1.8%
Other values (162) 252
77.5%
Latin
ValueCountFrequency (%)
O 3
17.6%
H 2
11.8%
A 2
11.8%
p 1
 
5.9%
l 1
 
5.9%
u 1
 
5.9%
s 1
 
5.9%
B 1
 
5.9%
N 1
 
5.9%
P 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
18
60.0%
( 4
 
13.3%
) 4
 
13.3%
0 2
 
6.7%
1 1
 
3.3%
, 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 325
87.4%
ASCII 47
 
12.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
38.3%
( 4
 
8.5%
) 4
 
8.5%
O 3
 
6.4%
0 2
 
4.3%
H 2
 
4.3%
A 2
 
4.3%
p 1
 
2.1%
l 1
 
2.1%
u 1
 
2.1%
Other values (9) 9
19.1%
Hangul
ValueCountFrequency (%)
장 10
 
3.1%
한 9
 
2.8%
마 8
 
2.5%
고 8
 
2.5%
리 7
 
2.2%
기 7
 
2.2%
지 6
 
1.8%
우 6
 
1.8%
주 6
 
1.8%
이 6
 
1.8%
Other values (162) 252
77.5%

인증번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T04:20:19.688565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length6.6923077
Min length4

Characters and Unicode

Total characters348
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row2017-01호
2nd row2017-02호
3rd row2017-03호
4th row2017-04호
5th row2017-05호
ValueCountFrequency (%)
2017-01호 1
 
1.9%
2017-02호 1
 
1.9%
1904 1
 
1.9%
2018-02호 1
 
1.9%
2018-03호 1
 
1.9%
2018-04호 1
 
1.9%
2018-05호 1
 
1.9%
2018-06호 1
 
1.9%
2018-07호 1
 
1.9%
2018-08호 1
 
1.9%
Other values (42) 42
80.8%
2024-03-15T04:20:21.323703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 76
21.8%
0 63
18.1%
2 50
14.4%
- 35
10.1%
호 35
10.1%
7 33
9.5%
9 20
 
5.7%
8 14
 
4.0%
3 6
 
1.7%
6 6
 
1.7%
Other values (2) 10
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
79.9%
Dash Punctuation 35
 
10.1%
Other Letter 35
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 76
27.3%
0 63
22.7%
2 50
18.0%
7 33
11.9%
9 20
 
7.2%
8 14
 
5.0%
3 6
 
2.2%
6 6
 
2.2%
4 5
 
1.8%
5 5
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Letter
ValueCountFrequency (%)
호 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
89.9%
Hangul 35
 
10.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 76
24.3%
0 63
20.1%
2 50
16.0%
- 35
11.2%
7 33
10.5%
9 20
 
6.4%
8 14
 
4.5%
3 6
 
1.9%
6 6
 
1.9%
4 5
 
1.6%
Hangul
ValueCountFrequency (%)
호 35
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
89.9%
Hangul 35
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 76
24.3%
0 63
20.1%
2 50
16.0%
- 35
11.2%
7 33
10.5%
9 20
 
6.4%
8 14
 
4.5%
3 6
 
1.9%
6 6
 
1.9%
4 5
 
1.6%
Hangul
ValueCountFrequency (%)
호 35
100.0%

소재지
Categorical

Distinct13
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
전주시
11 
익산시
7 
정읍시
5 
고창군
5 
김제시
3 
Other values (8)
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 11
21.2%
익산시 7
13.5%
정읍시 5
9.6%
고창군 5
9.6%
김제시 3
 
5.8%
완주군 3
 
5.8%
무주군 3
 
5.8%
임실군 3
 
5.8%
순창군 3
 
5.8%
부안군 3
 
5.8%
Other values (3) 6
11.5%

Length

2024-03-15T04:20:21.798387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 11
21.2%
익산시 7
13.5%
정읍시 5
9.6%
고창군 5
9.6%
김제시 3
 
5.8%
완주군 3
 
5.8%
무주군 3
 
5.8%
임실군 3
 
5.8%
순창군 3
 
5.8%
부안군 3
 
5.8%
Other values (3) 6
11.5%

주 소
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-03-15T04:20:23.200012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length21
Mean length16.711538
Min length10

Characters and Unicode

Total characters869
Distinct characters125
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

Unique52 ?
Unique (%)100.0%

Sample

1st row전주시 덕진구 정동로 46
2nd row전주시 덕진구 팔복1가 16-2
3rd row전주시 덕진구 팔과정로 20
4th row전주시 덕진구 수리재길 13
5th row전주시 완산구 장승배기로 310-6
ValueCountFrequency (%)
전주시 11
 
5.2%
익산시 7
 
3.3%
덕진구 7
 
3.3%
고창군 5
 
2.4%
정읍시 5
 
2.4%
완주군 4
 
1.9%
완산구 4
 
1.9%
민속마을길 3
 
1.4%
김제시 3
 
1.4%
무주군 3
 
1.4%
Other values (139) 158
75.2%
2024-03-15T04:20:24.963145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
18.2%
1 43
 
4.9%
시 31
 
3.6%
산 31
 
3.6%
로 27
 
3.1%
3 26
 
3.0%
면 26
 
3.0%
군 25
 
2.9%
길 21
 
2.4%
5 20
 
2.3%
Other values (115) 461
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
58.2%
Decimal Number 182
 
20.9%
Space Separator 158
 
18.2%
Dash Punctuation 19
 
2.2%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 31
 
6.1%
산 31
 
6.1%
로 27
 
5.3%
면 26
 
5.1%
군 25
 
4.9%
길 21
 
4.2%
주 20
 
4.0%
읍 16
 
3.2%
전 13
 
2.6%
창 12
 
2.4%
Other values (102) 284
56.1%
Decimal Number
ValueCountFrequency (%)
1 43
23.6%
3 26
14.3%
5 20
11.0%
2 19
10.4%
7 17
 
9.3%
0 16
 
8.8%
4 14
 
7.7%
6 11
 
6.0%
8 10
 
5.5%
9 6
 
3.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
58.2%
Common 363
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 31
 
6.1%
산 31
 
6.1%
로 27
 
5.3%
면 26
 
5.1%
군 25
 
4.9%
길 21
 
4.2%
주 20
 
4.0%
읍 16
 
3.2%
전 13
 
2.6%
창 12
 
2.4%
Other values (102) 284
56.1%
Common
ValueCountFrequency (%)
158
43.5%
1 43
 
11.8%
3 26
 
7.2%
5 20
 
5.5%
- 19
 
5.2%
2 19
 
5.2%
7 17
 
4.7%
0 16
 
4.4%
4 14
 
3.9%
6 11
 
3.0%
Other values (3) 20
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
58.2%
ASCII 363
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
43.5%
1 43
 
11.8%
3 26
 
7.2%
5 20
 
5.5%
- 19
 
5.2%
2 19
 
5.2%
7 17
 
4.7%
0 16
 
4.4%
4 14
 
3.9%
6 11
 
3.0%
Other values (3) 20
 
5.5%
Hangul
ValueCountFrequency (%)
시 31
 
6.1%
산 31
 
6.1%
로 27
 
5.3%
면 26
 
5.1%
군 25
 
4.9%
길 21
 
4.2%
주 20
 
4.0%
읍 16
 
3.2%
전 13
 
2.6%
창 12
 
2.4%
Other values (102) 284
56.1%

전화번호
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing8
Missing (%)15.4%
Memory size544.0 B
2024-03-15T04:20:25.850431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique42 ?
Unique (%)95.5%

Sample

1st row063-245-3661
2nd row063-211-4654
3rd row063-212-1529
4th row063-245-3661
5th row063-285-2727
ValueCountFrequency (%)
063-245-3661 2
 
4.5%
063-861-1700 1
 
2.3%
063-211-4654 1
 
2.3%
063-564-8889 1
 
2.3%
063-584-6429 1
 
2.3%
063-253-6662 1
 
2.3%
063-212-9995 1
 
2.3%
063-244-0634 1
 
2.3%
063-211-6683 1
 
2.3%
063-211-1088 1
 
2.3%
Other values (33) 33
75.0%
2024-03-15T04:20:27.108744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 89
16.9%
- 88
16.7%
6 78
14.8%
0 68
12.9%
2 42
8.0%
5 40
7.6%
4 34
 
6.4%
1 30
 
5.7%
8 26
 
4.9%
9 21
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 89
20.2%
6 78
17.7%
0 68
15.5%
2 42
9.5%
5 40
9.1%
4 34
 
7.7%
1 30
 
6.8%
8 26
 
5.9%
9 21
 
4.8%
7 12
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 89
16.9%
- 88
16.7%
6 78
14.8%
0 68
12.9%
2 42
8.0%
5 40
7.6%
4 34
 
6.4%
1 30
 
5.7%
8 26
 
4.9%
9 21
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 89
16.9%
- 88
16.7%
6 78
14.8%
0 68
12.9%
2 42
8.0%
5 40
7.6%
4 34
 
6.4%
1 30
 
5.7%
8 26
 
4.9%
9 21
 
4.0%

팩스
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing8
Missing (%)15.4%
Memory size544.0 B
2024-03-15T04:20:28.033488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique42 ?
Unique (%)95.5%

Sample

1st row063-245-3661
2nd row063-211-4654
3rd row063-212-1529
4th row063-245-3661
5th row063-285-2727
ValueCountFrequency (%)
063-245-3661 2
 
4.5%
063-861-1700 1
 
2.3%
063-211-4654 1
 
2.3%
063-564-8889 1
 
2.3%
063-584-6429 1
 
2.3%
063-253-6662 1
 
2.3%
063-212-9995 1
 
2.3%
063-244-0634 1
 
2.3%
063-211-6683 1
 
2.3%
063-211-1088 1
 
2.3%
Other values (33) 33
75.0%
2024-03-15T04:20:29.190180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 89
16.9%
- 88
16.7%
6 78
14.8%
0 68
12.9%
2 42
8.0%
5 40
7.6%
4 34
 
6.4%
1 30
 
5.7%
8 26
 
4.9%
9 21
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 89
20.2%
6 78
17.7%
0 68
15.5%
2 42
9.5%
5 40
9.1%
4 34
 
7.7%
1 30
 
6.8%
8 26
 
5.9%
9 21
 
4.8%
7 12
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 89
16.9%
- 88
16.7%
6 78
14.8%
0 68
12.9%
2 42
8.0%
5 40
7.6%
4 34
 
6.4%
1 30
 
5.7%
8 26
 
4.9%
9 21
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 89
16.9%
- 88
16.7%
6 78
14.8%
0 68
12.9%
2 42
8.0%
5 40
7.6%
4 34
 
6.4%
1 30
 
5.7%
8 26
 
4.9%
9 21
 
4.0%

비고
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
전통가공
31 
농축수
13 
공산
8 

Length

Max length4
Median length4
Mean length3.4423077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전통가공
2nd row공산
3rd row공산
4th row농축수
5th row전통가공

Common Values

ValueCountFrequency (%)
전통가공 31
59.6%
농축수 13
25.0%
공산 8
 
15.4%

Length

2024-03-15T04:20:29.650045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:20:29.917048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통가공 31
59.6%
농축수 13
25.0%
공산 8
 
15.4%

Interactions

2024-03-15T04:20:09.912755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:20:30.149758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명대표자상품인증번호소재지주 소전화번호팩스비고
연번1.0001.0000.9281.0001.0000.7571.0001.0001.0000.312
업체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자0.9281.0001.0001.0001.0000.9031.0000.9860.9860.000
상품1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인증번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.7571.0000.9031.0001.0001.0001.0001.0001.0000.502
주 소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0000.9861.0001.0001.0001.0001.0001.0000.771
팩스1.0001.0000.9861.0001.0001.0001.0001.0001.0000.771
비고0.3121.0000.0001.0001.0000.5021.0000.7710.7711.000
2024-03-15T04:20:30.402164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지비고
소재지1.0000.286
비고0.2861.000
2024-03-15T04:20:30.561205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지비고
연번1.0000.4200.172
소재지0.4201.0000.286
비고0.1720.2861.000

Missing values

2024-03-15T04:20:10.266904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:20:10.635097image/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.
2024-03-15T04:20:10.925112image/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

연번업체명대표자상품인증번호소재지주 소전화번호팩스비고
01㈜디자인농부김*섬검은콩미숫가루 블랙빈2017-01호전주시전주시 덕진구 정동로 46063-245-3661063-245-3661전통가공
12㈜명진허*고무장갑2017-02호전주시전주시 덕진구 팔복1가 16-2063-211-4654063-211-4654공산
23㈜인텍이*선HOOOAH MASK2017-03호전주시전주시 덕진구 팔과정로 20063-212-1529063-212-1529공산
34전주콩나물영농조합법인양*혁친환경전주콩나물2017-04호전주시전주시 덕진구 수리재길 13063-245-3661063-245-3661농축수
45㈜풍년제과강*웅PNB우리밀 초코파이2017-05호전주시전주시 완산구 장승배기로 310-6063-285-2727063-285-2727전통가공
56㈜나인팜스최*석청실한돈2017-06호군산시군산시 서수면 남산로 284063-732-3211063-732-3211농축수
67(유)아리울수산박*옥사랑해황금박대2017-07호군산시군산시 성산면 여방리 715-1063-443-3301063-443-3301전통가공
78(주)영신스톤이*현스톤리(돌그릇)2017-08호익산시익산시 금마면 제석사지로 107-32063-834-3459063-834-3459공산
89단풍미인한우영농조합법인김*영단풍미인한우2017-09호정읍시정읍시 북면 정읍북로 796063-533-8534063-533-8534농축수
910㈜두손푸드구*규두손마시는죽2017-10호정읍시정읍시 산내면 태산로 1716063-538-1785063-538-1785전통가공
연번업체명대표자상품인증번호소재지주 소전화번호팩스비고
4243영농조합법인 한국식연정*순양념청국장1909익산시익산시 평동로 14길 33063-854-6811063-854-6811전통가공
4344태흥한돈영농조합법인이*화태흥한돈 돼지고기1910익산시익산시 오산면 평동로 370063-853-8034063-853-8034농축수
4445주식회사 축림최*완다우연(쇠고기)1911익산시익산시 현영길 94063-852-2442063-852-2442농축수
4546금계식품임*옥샘고을감식초1912정읍시정읍시 산외면 화죽길 58063-537-0354063-537-0354전통가공
4647지리산처럼 영농조합법인정*은짜먹는 생들기름1913남원시남원시 운봉읍 가산화수길 71-13063-636-8789063-636-8789전통가공
4748무주군약초영농조합박*란무주천마100plus골드1914무주군무주군 안성면 안성로 438063-323-3474063-323-3474전통가공
4849순창장류㈜홍*길순창메주1915순창군순창군 순창읍 민속마을길 61-17063-653-9597063-653-9597전통가공
4950농업회사법인 청맥㈜김*주삼색보리쌀1916고창군고창군 아산면 아산농공단지길 25-10063-561-0054063-561-0054농축수
5051사임당푸드(영)조*주복분자유과1917고창군고창군 고창읍 태봉로 551063-562-5989063-562-5989전통가공
5152해리농협김*선천일염(천만금)1918고창군고창군 해리면 동호로 272063-561-1085063-561-1085농축수