Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.4 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description전라북도_농산물지정유통센터APC
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=204420

Alerts

데이터등록일 has constant value ""Constant
연번 has unique valuesUnique
산지유통시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:57:40.904118
Analysis finished2024-03-14 00:57:41.491344
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-14T09:57:41.548858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-03-14T09:57:41.681728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

산지유통시설명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T09:57:41.854867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length5.6666667
Min length3

Characters and Unicode

Total characters170
Distinct characters74
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row전주농협
2nd row전주원협
3rd row익산원협
4th row망성농협
5th row익산참다래유통사업단
ValueCountFrequency (%)
전주농협 1
 
3.3%
전주원협 1
 
3.3%
새만금유통 1
 
3.3%
변산농협 1
 
3.3%
남부안농협 1
 
3.3%
부안중앙농협 1
 
3.3%
황토배기유통 1
 
3.3%
동계농협 1
 
3.3%
오수농협 1
 
3.3%
구천동농협 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T09:57:42.194057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
협 21
 
12.4%
농 20
 
11.8%
산 7
 
4.1%
원 6
 
3.5%
조 5
 
2.9%
합 5
 
2.9%
법 5
 
2.9%
인 5
 
2.9%
동 4
 
2.4%
주 4
 
2.4%
Other values (64) 88
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
99.4%
Other Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
협 21
 
12.4%
농 20
 
11.8%
산 7
 
4.1%
원 6
 
3.6%
조 5
 
3.0%
합 5
 
3.0%
법 5
 
3.0%
인 5
 
3.0%
동 4
 
2.4%
주 4
 
2.4%
Other values (63) 87
51.5%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
협 21
 
12.4%
농 20
 
11.8%
산 7
 
4.1%
원 6
 
3.5%
조 5
 
2.9%
합 5
 
2.9%
법 5
 
2.9%
인 5
 
2.9%
동 4
 
2.4%
주 4
 
2.4%
Other values (64) 88
51.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
99.4%
None 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
협 21
 
12.4%
농 20
 
11.8%
산 7
 
4.1%
원 6
 
3.6%
조 5
 
3.0%
합 5
 
3.0%
법 5
 
3.0%
인 5
 
3.0%
동 4
 
2.4%
주 4
 
2.4%
Other values (63) 87
51.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주요품목
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T09:57:42.331364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length6.1666667
Min length2

Characters and Unicode

Total characters185
Distinct characters43
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

Unique23 ?
Unique (%)76.7%

Sample

1st row토마토, 복숭아
2nd row배, 사과
3rd row멜론, 배, 기타
4th row토마토, 수박
5th row고구마, 참다래
ValueCountFrequency (%)
양파 8
14.0%
토마토 6
10.5%
수박 6
10.5%
복숭아 5
 
8.8%
딸기 4
 
7.0%
사과 4
 
7.0%
배 3
 
5.3%
포도 3
 
5.3%
감자 2
 
3.5%
고구마 2
 
3.5%
Other values (13) 14
24.6%
2024-03-14T09:57:42.567522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 29
15.7%
27
14.6%
토 12
 
6.5%
파 11
 
5.9%
양 8
 
4.3%
마 8
 
4.3%
박 6
 
3.2%
수 6
 
3.2%
복 6
 
3.2%
기 5
 
2.7%
Other values (33) 67
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
69.7%
Other Punctuation 29
 
15.7%
Space Separator 27
 
14.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 12
 
9.3%
파 11
 
8.5%
양 8
 
6.2%
마 8
 
6.2%
박 6
 
4.7%
수 6
 
4.7%
복 6
 
4.7%
기 5
 
3.9%
숭 5
 
3.9%
아 5
 
3.9%
Other values (31) 57
44.2%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
69.7%
Common 56
30.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 12
 
9.3%
파 11
 
8.5%
양 8
 
6.2%
마 8
 
6.2%
박 6
 
4.7%
수 6
 
4.7%
복 6
 
4.7%
기 5
 
3.9%
숭 5
 
3.9%
아 5
 
3.9%
Other values (31) 57
44.2%
Common
ValueCountFrequency (%)
, 29
51.8%
27
48.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
69.7%
ASCII 56
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 29
51.8%
27
48.2%
Hangul
ValueCountFrequency (%)
토 12
 
9.3%
파 11
 
8.5%
양 8
 
6.2%
마 8
 
6.2%
박 6
 
4.7%
수 6
 
4.7%
복 6
 
4.7%
기 5
 
3.9%
숭 5
 
3.9%
아 5
 
3.9%
Other values (31) 57
44.2%

데이터등록일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-01-08
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-08
2nd row2021-01-08
3rd row2021-01-08
4th row2021-01-08
5th row2021-01-08

Common Values

ValueCountFrequency (%)
2021-01-08 30
100.0%

Length

2024-03-14T09:57:42.673408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:57:42.750713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-08 30
100.0%

Interactions

2024-03-14T09:57:41.033347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:57:42.796274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번산지유통시설명주요품목
연번1.0001.0000.846
산지유통시설명1.0001.0001.000
주요품목0.8461.0001.000

Missing values

2024-03-14T09:57:41.372104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:57:41.455413image/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

연번산지유통시설명주요품목데이터등록일
01전주농협토마토, 복숭아2021-01-08
12전주원협배, 사과2021-01-08
23익산원협멜론, 배, 기타2021-01-08
34망성농협토마토, 수박2021-01-08
45익산참다래유통사업단고구마, 참다래2021-01-08
56정읍원협토마토, 복분자, 수박2021-01-08
67남원원협복숭아, 딸기2021-01-08
78운봉농협파프리카, 상추2021-01-08
89춘향골농협딸기, 복숭아2021-01-08
910지리산농협포도, 토마토2021-01-08
연번산지유통시설명주요품목데이터등록일
2021무주농협사과, 복숭아2021-01-08
2122구천동농협사과2021-01-08
2223오수농협딸기, 복숭아2021-01-08
2324동계농협매실, 밤, 대봉2021-01-08
2425황토배기유통고구마, 수박, 배2021-01-08
2526부안중앙농협양파2021-01-08
2627남부안농협양파2021-01-08
2728변산농협양파, 대파2021-01-08
2829새만금유통양파2021-01-08
2930부안마케팅영농조합법인수박, 양파,2021-01-08