Overview

Dataset statistics

Number of variables5
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory43.0 B

Variable types

Numeric1
Categorical2
Text1
DateTime1

Dataset

Description전북특별자치도 진안군에 있는 농산물 산지유통센터(APC) 정보에 대한 데이터입니다. 조직명과 도로명주소, 주요 취급품목 정보들을 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15076611/fileData.do

Alerts

조직명 has constant value ""Constant
도로명주소 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
주요 취급품목 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:23:09.592556
Analysis finished2024-03-15 01:23:10.471866
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.0 B
2024-03-15T10:23:10.691002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2024-03-15T10:23:11.144548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

조직명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size640.0 B
진안군산지유통센터
64 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진안군산지유통센터 64
100.0%

Length

2024-03-15T10:23:11.563364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:23:11.901528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진안군산지유통센터 64
100.0%

도로명주소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size640.0 B
전북특별자치도 진안군 진안읍 학천변길 11
64 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전북특별자치도 진안군 진안읍 학천변길 11
2nd row전북특별자치도 진안군 진안읍 학천변길 11
3rd row전북특별자치도 진안군 진안읍 학천변길 11
4th row전북특별자치도 진안군 진안읍 학천변길 11
5th row전북특별자치도 진안군 진안읍 학천변길 11

Common Values

ValueCountFrequency (%)
전북특별자치도 진안군 진안읍 학천변길 11 64
100.0%

Length

2024-03-15T10:23:12.266377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:23:12.600816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북특별자치도 64
20.0%
진안군 64
20.0%
진안읍 64
20.0%
학천변길 64
20.0%
11 64
20.0%

주요 취급품목
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size640.0 B
2024-03-15T10:23:13.960189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length3.5
Min length1

Characters and Unicode

Total characters224
Distinct characters118
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

Unique64 ?
Unique (%)100.0%

Sample

1st row가지
2nd row감자
3rd row갓
4th row강낭콩
5th row건고추
ValueCountFrequency (%)
가지 1
 
1.6%
감자 1
 
1.6%
쪽파 1
 
1.6%
상추 1
 
1.6%
생강 1
 
1.6%
수박 1
 
1.6%
시금치 1
 
1.6%
아로니아 1
 
1.6%
아스파라거스 1
 
1.6%
야콘 1
 
1.6%
Other values (54) 54
84.4%
2024-03-15T10:23:15.532605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
추 12
 
5.4%
고 10
 
4.5%
) 8
 
3.6%
( 8
 
3.6%
기 6
 
2.7%
토 6
 
2.7%
마 5
 
2.2%
무 5
 
2.2%
비 5
 
2.2%
리 5
 
2.2%
Other values (108) 154
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
92.9%
Close Punctuation 8
 
3.6%
Open Punctuation 8
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 12
 
5.8%
고 10
 
4.8%
기 6
 
2.9%
토 6
 
2.9%
마 5
 
2.4%
무 5
 
2.4%
비 5
 
2.4%
리 5
 
2.4%
양 5
 
2.4%
수 4
 
1.9%
Other values (106) 145
69.7%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
92.9%
Common 16
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 12
 
5.8%
고 10
 
4.8%
기 6
 
2.9%
토 6
 
2.9%
마 5
 
2.4%
무 5
 
2.4%
비 5
 
2.4%
리 5
 
2.4%
양 5
 
2.4%
수 4
 
1.9%
Other values (106) 145
69.7%
Common
ValueCountFrequency (%)
) 8
50.0%
( 8
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
92.9%
ASCII 16
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
추 12
 
5.8%
고 10
 
4.8%
기 6
 
2.9%
토 6
 
2.9%
마 5
 
2.4%
무 5
 
2.4%
비 5
 
2.4%
리 5
 
2.4%
양 5
 
2.4%
수 4
 
1.9%
Other values (106) 145
69.7%
ASCII
ValueCountFrequency (%)
) 8
50.0%
( 8
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size640.0 B
Minimum2024-01-23 00:00:00
Maximum2024-01-23 00:00:00
2024-03-15T10:23:15.878644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:23:16.136996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T10:23:09.850302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:23:16.257781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번주요 취급품목
순번1.0001.000
주요 취급품목1.0001.000

Missing values

2024-03-15T10:23:10.080940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:23:10.339568image/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

순번조직명도로명주소주요 취급품목데이터기준일자
01진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11가지2024-01-23
12진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11감자2024-01-23
23진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11갓2024-01-23
34진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11강낭콩2024-01-23
45진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11건고추2024-01-23
56진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11고구마2024-01-23
67진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11고구마순(줄기)2024-01-23
78진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11고수2024-01-23
89진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11고추2024-01-23
910진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11곤달비2024-01-23
순번조직명도로명주소주요 취급품목데이터기준일자
5455진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11토마토2024-01-23
5556진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11포도2024-01-23
5657진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11표고버섯2024-01-23
5758진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11풋고추2024-01-23
5859진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11피망2024-01-23
5960진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11호박2024-01-23
6061진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11홍고추2024-01-23
6162진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11기타근채류(카사바)2024-01-23
6263진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11기타버섯류(표고)2024-01-23
6364진안군산지유통센터전북특별자치도 진안군 진안읍 학천변길 11기타엽경채류(곤달비)2024-01-23