Overview

Dataset statistics

Number of variables6
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory51.8 B

Variable types

Numeric1
Text5

Dataset

Description공공데이터도지사인증상품현황20174월
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201880

Alerts

연번 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique
상품 has unique valuesUnique
주 소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:19:16.642337
Analysis finished2024-03-14 01:19:17.208559
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T10:19:17.293886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-03-14T10:19:17.456235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 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%
35 1
 
2.1%
Other values (38) 38
79.2%
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 (%)
48 1
2.1%
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%

업체명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T10:19:17.703006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.5833333
Min length3

Characters and Unicode

Total characters412
Distinct characters142
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

Unique48 ?
Unique (%)100.0%

Sample

1st row영농조합법인 금계식품
2nd row(영)다송리사람들
3rd row대승음료㈜
4th row동그라미플러스
5th row두메산골영농조합법인
ValueCountFrequency (%)
영농조합법인 4
 
7.0%
농업회사법인 4
 
7.0%
영농조합법인완주봉상생강조합 1
 
1.8%
전북한우협동조합 1
 
1.8%
유)아리울수산 1
 
1.8%
주)영신스톤 1
 
1.8%
단풍미인한우영농조합법인 1
 
1.8%
㈜두손푸드 1
 
1.8%
㈜유기농비건 1
 
1.8%
정읍귀리명품화사업단 1
 
1.8%
Other values (41) 41
71.9%
2024-03-14T10:19:18.063162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 24
 
5.8%
농 24
 
5.8%
합 20
 
4.9%
법 20
 
4.9%
조 19
 
4.6%
영 18
 
4.4%
㈜ 12
 
2.9%
) 10
 
2.4%
9
 
2.2%
( 9
 
2.2%
Other values (132) 247
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
90.3%
Other Symbol 12
 
2.9%
Close Punctuation 10
 
2.4%
Space Separator 9
 
2.2%
Open Punctuation 9
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 24
 
6.5%
농 24
 
6.5%
합 20
 
5.4%
법 20
 
5.4%
조 19
 
5.1%
영 18
 
4.8%
유 9
 
2.4%
업 8
 
2.2%
사 7
 
1.9%
리 7
 
1.9%
Other values (128) 216
58.1%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
93.2%
Common 28
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 24
 
6.2%
농 24
 
6.2%
합 20
 
5.2%
법 20
 
5.2%
조 19
 
4.9%
영 18
 
4.7%
㈜ 12
 
3.1%
유 9
 
2.3%
업 8
 
2.1%
사 7
 
1.8%
Other values (129) 223
58.1%
Common
ValueCountFrequency (%)
) 10
35.7%
9
32.1%
( 9
32.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
90.3%
ASCII 28
 
6.8%
None 12
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 24
 
6.5%
농 24
 
6.5%
합 20
 
5.4%
법 20
 
5.4%
조 19
 
5.1%
영 18
 
4.8%
유 9
 
2.4%
업 8
 
2.2%
사 7
 
1.9%
리 7
 
1.9%
Other values (128) 216
58.1%
None
ValueCountFrequency (%)
㈜ 12
100.0%
ASCII
ValueCountFrequency (%)
) 10
35.7%
9
32.1%
( 9
32.1%

대표자
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T10:19:18.300965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0416667
Min length3

Characters and Unicode

Total characters146
Distinct characters80
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

Unique48 ?
Unique (%)100.0%

Sample

1st row임장옥
2nd row김현정
3rd row육종만
4th row구형선
5th row유현주
ValueCountFrequency (%)
임장옥 1
 
2.0%
김희자 1
 
2.0%
최항석 1
 
2.0%
김창희 1
 
2.0%
박금옥 1
 
2.0%
이재현 1
 
2.0%
김준영 1
 
2.0%
구성규 1
 
2.0%
최운자 1
 
2.0%
손주호 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T10:19:18.619399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 14
 
9.6%
종 6
 
4.1%
희 5
 
3.4%
현 4
 
2.7%
주 4
 
2.7%
임 3
 
2.1%
구 3
 
2.1%
이 3
 
2.1%
3
 
2.1%
재 3
 
2.1%
Other values (70) 98
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
97.9%
Space Separator 3
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 14
 
9.8%
종 6
 
4.2%
희 5
 
3.5%
현 4
 
2.8%
주 4
 
2.8%
임 3
 
2.1%
구 3
 
2.1%
이 3
 
2.1%
재 3
 
2.1%
원 3
 
2.1%
Other values (69) 95
66.4%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
97.9%
Common 3
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 14
 
9.8%
종 6
 
4.2%
희 5
 
3.5%
현 4
 
2.8%
주 4
 
2.8%
임 3
 
2.1%
구 3
 
2.1%
이 3
 
2.1%
재 3
 
2.1%
원 3
 
2.1%
Other values (69) 95
66.4%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
97.9%
ASCII 3
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 14
 
9.8%
종 6
 
4.2%
희 5
 
3.5%
현 4
 
2.8%
주 4
 
2.8%
임 3
 
2.1%
구 3
 
2.1%
이 3
 
2.1%
재 3
 
2.1%
원 3
 
2.1%
Other values (69) 95
66.4%
ASCII
ValueCountFrequency (%)
3
100.0%

상품
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T10:19:18.827342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.8125
Min length2

Characters and Unicode

Total characters327
Distinct characters176
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row샘고을감식초
2nd row고스락유기농양파식초
3rd row석정수
4th row자연나래 한우육포
5th row조해랑 오리 훈제
ValueCountFrequency (%)
누룽지 2
 
3.0%
샘고을감식초 1
 
1.5%
사랑해황금박대 1
 
1.5%
정읍명품귀리 1
 
1.5%
들하늘쌀조청 1
 
1.5%
두손마시는죽 1
 
1.5%
단풍미인한우 1
 
1.5%
스톤리(돌그릇 1
 
1.5%
총체보리한우 1
 
1.5%
황진이주 1
 
1.5%
Other values (56) 56
83.6%
2024-03-14T10:19:19.129728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
5.8%
리 10
 
3.1%
장 8
 
2.4%
천 6
 
1.8%
치 5
 
1.5%
한 5
 
1.5%
고 5
 
1.5%
마 5
 
1.5%
주 4
 
1.2%
포 4
 
1.2%
Other values (166) 256
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
88.7%
Space Separator 19
 
5.8%
Uppercase Letter 13
 
4.0%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 10
 
3.4%
장 8
 
2.8%
천 6
 
2.1%
치 5
 
1.7%
한 5
 
1.7%
고 5
 
1.7%
마 5
 
1.7%
주 4
 
1.4%
포 4
 
1.4%
기 4
 
1.4%
Other values (153) 234
80.7%
Uppercase Letter
ValueCountFrequency (%)
O 3
23.1%
A 2
15.4%
H 2
15.4%
K 1
 
7.7%
M 1
 
7.7%
S 1
 
7.7%
N 1
 
7.7%
P 1
 
7.7%
B 1
 
7.7%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
88.7%
Common 24
 
7.3%
Latin 13
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 10
 
3.4%
장 8
 
2.8%
천 6
 
2.1%
치 5
 
1.7%
한 5
 
1.7%
고 5
 
1.7%
마 5
 
1.7%
주 4
 
1.4%
포 4
 
1.4%
기 4
 
1.4%
Other values (153) 234
80.7%
Latin
ValueCountFrequency (%)
O 3
23.1%
A 2
15.4%
H 2
15.4%
K 1
 
7.7%
M 1
 
7.7%
S 1
 
7.7%
N 1
 
7.7%
P 1
 
7.7%
B 1
 
7.7%
Common
ValueCountFrequency (%)
19
79.2%
( 2
 
8.3%
) 2
 
8.3%
, 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
88.7%
ASCII 37
 
11.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
51.4%
O 3
 
8.1%
( 2
 
5.4%
) 2
 
5.4%
A 2
 
5.4%
H 2
 
5.4%
K 1
 
2.7%
M 1
 
2.7%
S 1
 
2.7%
, 1
 
2.7%
Other values (3) 3
 
8.1%
Hangul
ValueCountFrequency (%)
리 10
 
3.4%
장 8
 
2.8%
천 6
 
2.1%
치 5
 
1.7%
한 5
 
1.7%
고 5
 
1.7%
마 5
 
1.7%
주 4
 
1.4%
포 4
 
1.4%
기 4
 
1.4%
Other values (153) 234
80.7%

주 소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T10:19:19.420555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length20.5
Mean length16.75
Min length10

Characters and Unicode

Total characters804
Distinct characters135
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

Unique48 ?
Unique (%)100.0%

Sample

1st row전라북도 정읍시 산외면 화죽리 716-5
2nd row익산시 함열읍 석매리 808
3rd row완주군 소양면 복은길 46-39
4th row익산시 쌍능길 135-7
5th row전주시 완산구 능안자구길 53
ValueCountFrequency (%)
덕진구 7
 
3.6%
군산시 6
 
3.1%
정읍시 5
 
2.6%
김제시 5
 
2.6%
전주시 5
 
2.6%
고창군 4
 
2.1%
전주 4
 
2.1%
전라북도 3
 
1.6%
완주군 3
 
1.6%
민속마을길 3
 
1.6%
Other values (133) 148
76.7%
2024-03-14T10:19:19.946553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
18.0%
1 37
 
4.6%
시 28
 
3.5%
면 26
 
3.2%
군 25
 
3.1%
산 25
 
3.1%
- 24
 
3.0%
3 22
 
2.7%
로 19
 
2.4%
길 19
 
2.4%
Other values (125) 434
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
58.5%
Decimal Number 165
 
20.5%
Space Separator 145
 
18.0%
Dash Punctuation 24
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 28
 
6.0%
면 26
 
5.5%
군 25
 
5.3%
산 25
 
5.3%
로 19
 
4.0%
길 19
 
4.0%
읍 15
 
3.2%
주 15
 
3.2%
전 14
 
3.0%
구 13
 
2.8%
Other values (113) 271
57.7%
Decimal Number
ValueCountFrequency (%)
1 37
22.4%
3 22
13.3%
2 17
10.3%
5 17
10.3%
7 16
9.7%
6 16
9.7%
0 12
 
7.3%
4 11
 
6.7%
8 10
 
6.1%
9 7
 
4.2%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
58.5%
Common 334
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 28
 
6.0%
면 26
 
5.5%
군 25
 
5.3%
산 25
 
5.3%
로 19
 
4.0%
길 19
 
4.0%
읍 15
 
3.2%
주 15
 
3.2%
전 14
 
3.0%
구 13
 
2.8%
Other values (113) 271
57.7%
Common
ValueCountFrequency (%)
145
43.4%
1 37
 
11.1%
- 24
 
7.2%
3 22
 
6.6%
2 17
 
5.1%
5 17
 
5.1%
7 16
 
4.8%
6 16
 
4.8%
0 12
 
3.6%
4 11
 
3.3%
Other values (2) 17
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
58.5%
ASCII 334
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
43.4%
1 37
 
11.1%
- 24
 
7.2%
3 22
 
6.6%
2 17
 
5.1%
5 17
 
5.1%
7 16
 
4.8%
6 16
 
4.8%
0 12
 
3.6%
4 11
 
3.3%
Other values (2) 17
 
5.1%
Hangul
ValueCountFrequency (%)
시 28
 
6.0%
면 26
 
5.5%
군 25
 
5.3%
산 25
 
5.3%
로 19
 
4.0%
길 19
 
4.0%
읍 15
 
3.2%
주 15
 
3.2%
전 14
 
3.0%
구 13
 
2.8%
Other values (113) 271
57.7%

전화번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T10:19:20.136265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.125
Min length8

Characters and Unicode

Total characters390
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

Unique48 ?
Unique (%)100.0%

Sample

1st row537-3917
2nd row861-2288
3rd row271-3800
4th row831-7350
5th row211-6684
ValueCountFrequency (%)
537-3917 1
 
2.1%
861-2288 1
 
2.1%
546-6921 1
 
2.1%
443-3312 1
 
2.1%
834-3219 1
 
2.1%
533-8533 1
 
2.1%
1588-1784 1
 
2.1%
538-1744 1
 
2.1%
538-6565 1
 
2.1%
630-5030 1
 
2.1%
Other values (38) 38
79.2%
2024-03-14T10:19:20.414794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 53
13.6%
- 49
12.6%
5 44
11.3%
4 40
10.3%
2 39
10.0%
6 36
9.2%
1 34
8.7%
0 27
6.9%
8 25
6.4%
7 23
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
87.4%
Dash Punctuation 49
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 53
15.5%
5 44
12.9%
4 40
11.7%
2 39
11.4%
6 36
10.6%
1 34
10.0%
0 27
7.9%
8 25
7.3%
7 23
6.7%
9 20
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 390
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 53
13.6%
- 49
12.6%
5 44
11.3%
4 40
10.3%
2 39
10.0%
6 36
9.2%
1 34
8.7%
0 27
6.9%
8 25
6.4%
7 23
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 53
13.6%
- 49
12.6%
5 44
11.3%
4 40
10.3%
2 39
10.0%
6 36
9.2%
1 34
8.7%
0 27
6.9%
8 25
6.4%
7 23
5.9%

Interactions

2024-03-14T10:19:16.986783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:19:20.492185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명대표자상품주 소전화번호
연번1.0001.0001.0001.0001.0001.000
업체명1.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.000
상품1.0001.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000

Missing values

2024-03-14T10:19:17.066943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:19:17.159094image/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

연번업체명대표자상품주 소전화번호
01영농조합법인 금계식품임장옥샘고을감식초전라북도 정읍시 산외면 화죽리 716-5537-3917
12(영)다송리사람들김현정고스락유기농양파식초익산시 함열읍 석매리 808861-2288
23대승음료㈜육종만석정수완주군 소양면 복은길 46-39271-3800
34동그라미플러스구형선자연나래 한우육포익산시 쌍능길 135-7831-7350
45두메산골영농조합법인유현주조해랑 오리 훈제전주시 완산구 능안자구길 53211-6684
56박씨네누룽지 영농조합법인박종복당도둑 발아 현미 누룽지김제시 금구면 양시3길 107-38545-9997
67농업회사법인 순창장류㈜김중필한식메주순창군 순창읍 민속마을길 61-17653-9592
78영농조합법인 애농천춘진어린잎 채소진안군 진안읍 하평길 16-26241-2154
89(유)엘리트푸드장수광엘리트 돈까스김제시 금구면 금백로 2-6545-2200
910옹고집영농조합법인김동원호박보리된장군산시 나포면 서왕길 34453-8877
연번업체명대표자상품주 소전화번호
3839부귀농협마이산김치구종만마이산포기김치진안군 부귀면 신정리 537433-5356
3940남영제약영농조합법인전순애황실진고무주군 무주읍 무금로 93322-4985
4041무주덕유산반딧골영농조합법인이경원천마니 천마담무주군 안성면 공단로 19323-3331
4142임실치즈 축산업협동조합설동섭치즈,유산균요구르트임실군 임실읍 갈마리 275640-6464
4243영농조합법인 신덕식품하태열포기김치임실군 신덕면 수월로 553-5644-9001
4344농업회사법인 주)순창성가정식품김종덕양념깻잎장아찌순창군 순창읍 민속마을길 56-13653-3382
4445순창장본가전통식품강순옥청된장순창군 순창읍 민속마을길 5-16653-7437
4546만선영어조합법인차호식복분자 간장게장고창군 상하면 자룡리 433563-3223
4647참바다영어조합법인김종학참바다 복분자민물장어고창군 신림면 가평로 31564-0880
4748동진협동미곡종합처리장윤춘식갯마을천년의솜씨부안군 동진면 동전리 2009-1584-6426