Overview

Dataset statistics

Number of variables4
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.9 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description충청남도농산물산지유통센터운영현황(시군명,유통시설명,주요품목)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=402&beforeMenuCd=DOM_000000201001001000&publicdatapk=15018872

Alerts

연번 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
주요품목 is highly overall correlated with 시군High correlation
연번 has unique valuesUnique
APC명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:13:13.032814
Analysis finished2024-01-09 22:13:13.379028
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-01-10T07:13:13.434597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2024-01-10T07:13:13.539962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

시군
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
논산
17 
부여
14 
천안
7 
공주
7 
아산
7 
Other values (8)
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
논산 17
24.3%
부여 14
20.0%
천안 7
10.0%
공주 7
10.0%
아산 7
10.0%
예산 4
 
5.7%
금산 3
 
4.3%
보령 2
 
2.9%
서산 2
 
2.9%
당진 2
 
2.9%
Other values (3) 5
 
7.1%

Length

2024-01-10T07:13:13.647011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
논산 17
24.3%
부여 14
20.0%
천안 7
10.0%
공주 7
10.0%
아산 7
10.0%
예산 4
 
5.7%
금산 3
 
4.3%
보령 2
 
2.9%
서산 2
 
2.9%
당진 2
 
2.9%
Other values (3) 5
 
7.1%

APC명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-01-10T07:13:13.833316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.7
Min length4

Characters and Unicode

Total characters469
Distinct characters130
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st row영농조합법인 그린농산
2nd row성환농협 APC
3rd row아우내농협
4th row안양골영농조합법인
5th row입장농협
ValueCountFrequency (%)
영농조합법인 2
 
2.5%
농업회사법인 2
 
2.5%
송악농협 2
 
2.5%
㈜삼흥농업회사법인 1
 
1.3%
서부여농협 1
 
1.3%
구룡농협 1
 
1.3%
규암농협 1
 
1.3%
부여농협 1
 
1.3%
금산농협 1
 
1.3%
만인산농협 1
 
1.3%
Other values (66) 66
83.5%
2024-01-10T07:13:14.144814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 65
 
13.9%
협 44
 
9.4%
인 26
 
5.5%
법 22
 
4.7%
산 22
 
4.7%
조 19
 
4.1%
합 18
 
3.8%
영 16
 
3.4%
사 10
 
2.1%
9
 
1.9%
Other values (120) 218
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
95.9%
Space Separator 9
 
1.9%
Other Symbol 6
 
1.3%
Uppercase Letter 3
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 65
 
14.4%
협 44
 
9.8%
인 26
 
5.8%
법 22
 
4.9%
산 22
 
4.9%
조 19
 
4.2%
합 18
 
4.0%
영 16
 
3.6%
사 10
 
2.2%
회 7
 
1.6%
Other values (114) 201
44.7%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
A 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 456
97.2%
Common 10
 
2.1%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 65
 
14.3%
협 44
 
9.6%
인 26
 
5.7%
법 22
 
4.8%
산 22
 
4.8%
조 19
 
4.2%
합 18
 
3.9%
영 16
 
3.5%
사 10
 
2.2%
회 7
 
1.5%
Other values (115) 207
45.4%
Latin
ValueCountFrequency (%)
P 1
33.3%
A 1
33.3%
C 1
33.3%
Common
ValueCountFrequency (%)
9
90.0%
6 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
95.9%
ASCII 13
 
2.8%
None 6
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 65
 
14.4%
협 44
 
9.8%
인 26
 
5.8%
법 22
 
4.9%
산 22
 
4.9%
조 19
 
4.2%
합 18
 
4.0%
영 16
 
3.6%
사 10
 
2.2%
회 7
 
1.6%
Other values (114) 201
44.7%
ASCII
ValueCountFrequency (%)
9
69.2%
P 1
 
7.7%
A 1
 
7.7%
C 1
 
7.7%
6 1
 
7.7%
None
ValueCountFrequency (%)
㈜ 6
100.0%

주요품목
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
딸기
10 
배
10 
수박
8 
마늘
4 
밤
4 
Other values (23)
34 

Length

Max length9
Median length2
Mean length2.4
Min length1

Unique

Unique16 ?
Unique (%)22.9%

Sample

1st row버섯
2nd row배
3rd row오이
4th row배
5th row포도

Common Values

ValueCountFrequency (%)
딸기 10
14.3%
배 10
14.3%
수박 8
 
11.4%
마늘 4
 
5.7%
밤 4
 
5.7%
오이 3
 
4.3%
고구마 3
 
4.3%
토마토 3
 
4.3%
상추 3
 
4.3%
양송이 2
 
2.9%
Other values (18) 20
28.6%

Length

2024-01-10T07:13:14.263517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
딸기 10
13.5%
배 10
13.5%
수박 9
12.2%
밤 5
 
6.8%
토마토 5
 
6.8%
마늘 4
 
5.4%
오이 3
 
4.1%
고구마 3
 
4.1%
상추 3
 
4.1%
방울토마토 3
 
4.1%
Other values (16) 19
25.7%

Interactions

2024-01-10T07:13:13.205917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:13:14.334128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군APC명주요품목
연번1.0000.9351.0000.770
시군0.9351.0001.0000.932
APC명1.0001.0001.0001.000
주요품목0.7700.9321.0001.000
2024-01-10T07:13:14.406732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주요품목시군
주요품목1.0000.552
시군0.5521.000
2024-01-10T07:13:14.470641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군주요품목
연번1.0000.7410.330
시군0.7411.0000.552
주요품목0.3300.5521.000

Missing values

2024-01-10T07:13:13.292245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:13:13.353327image/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

연번시군APC명주요품목
01천안영농조합법인 그린농산버섯
12천안성환농협 APC배
23천안아우내농협오이
34천안안양골영농조합법인배
45천안입장농협포도
56천안직산농협배
67천안천안배원협배
78공주계룡농협딸기
89공주동아농산주식회사당근
910공주사곡농협밤
연번시군APC명주요품목
6061부여소부리영농조합법인딸기
6162서천동서천농협블루베리
6263서천판교농협마늘
6364청양정산농협멜론, 토마토
6465예산신양농협수박
6566예산예산농협쪽파
6667예산예산능금농협사과
6768예산예산중앙농협 신암지점사과
6869태안안면도농협고구마
6970태안태안군연합사업단마늘