Overview

Dataset statistics

Number of variables5
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory44.5 B

Variable types

Categorical3
Numeric2

Dataset

Description2022년도 친환경농산물 인증현황을 나타내는 데이터로, 각 시군별 유기농과 무농약 인증면적과 출하량 등을 나타냅니다.
Author전라남도
URLhttps://www.data.go.kr/data/3068477/fileData.do

Alerts

연도별 has constant value ""Constant
유기농산물 is highly overall correlated with 무농약농산물High correlation
무농약농산물 is highly overall correlated with 유기농산물High correlation

Reproduction

Analysis started2023-12-12 14:21:02.320398
Analysis finished2023-12-12 14:21:02.969819
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도별
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
2022
88 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 88
100.0%

Length

2023-12-12T23:21:03.034361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:03.111370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 88
100.0%

시군별
Categorical

Distinct22
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
곡성군
 
4
광양시
 
4
구례군
 
4
나주시
 
4
담양군
 
4
Other values (17)
68 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row곡성군
2nd row곡성군
3rd row곡성군
4th row곡성군
5th row광양시

Common Values

ValueCountFrequency (%)
곡성군 4
 
4.5%
광양시 4
 
4.5%
구례군 4
 
4.5%
나주시 4
 
4.5%
담양군 4
 
4.5%
목포시 4
 
4.5%
무안군 4
 
4.5%
보성군 4
 
4.5%
순천시 4
 
4.5%
신안군 4
 
4.5%
Other values (12) 48
54.5%

Length

2023-12-12T23:21:03.193649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곡성군 4
 
4.5%
광양시 4
 
4.5%
영광군 4
 
4.5%
화순군 4
 
4.5%
해남군 4
 
4.5%
함평군 4
 
4.5%
진도군 4
 
4.5%
장흥군 4
 
4.5%
장성군 4
 
4.5%
완도군 4
 
4.5%
Other values (12) 48
54.5%

구분
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
건수(건)
22 
농가수(호)
22 
면적(ha)
22 
출하량(톤)
22 

Length

Max length6
Median length6
Mean length5.75
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건수(건)
2nd row농가수(호)
3rd row면적(ha)
4th row출하량(톤)
5th row건수(건)

Common Values

ValueCountFrequency (%)
건수(건) 22
25.0%
농가수(호) 22
25.0%
면적(ha) 22
25.0%
출하량(톤) 22
25.0%

Length

2023-12-12T23:21:03.296984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:03.391371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건수(건 22
25.0%
농가수(호 22
25.0%
면적(ha 22
25.0%
출하량(톤 22
25.0%

유기농산물
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1064.0993
Minimum1.92
Maximum9043.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-12T23:21:03.528347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.92
5-th percentile54.75
Q1240.5
median608.495
Q31276.6475
95-th percentile4104.9665
Maximum9043.89
Range9041.97
Interquartile range (IQR)1036.1475

Descriptive statistics

Standard deviation1412.8704
Coefficient of variation (CV)1.3277618
Kurtosis12.177578
Mean1064.0993
Median Absolute Deviation (MAD)430.495
Skewness3.049294
Sum93640.74
Variance1996202.8
MonotonicityNot monotonic
2023-12-12T23:21:03.649126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244.0 2
 
2.3%
7.0 2
 
2.3%
2391.93 1
 
1.1%
836.0 1
 
1.1%
315.0 1
 
1.1%
1493.33 1
 
1.1%
1974.21 1
 
1.1%
1289.0 1
 
1.1%
219.0 1
 
1.1%
826.09 1
 
1.1%
Other values (76) 76
86.4%
ValueCountFrequency (%)
1.92 1
1.1%
7.0 2
2.3%
28.0 1
1.1%
53.0 1
1.1%
58.0 1
1.1%
71.0 1
1.1%
97.0 1
1.1%
97.09 1
1.1%
98.0 1
1.1%
107.0 1
1.1%
ValueCountFrequency (%)
9043.89 1
1.1%
5207.94 1
1.1%
5048.49 1
1.1%
4293.78 1
1.1%
4263.87 1
1.1%
3809.86 1
1.1%
3263.27 1
1.1%
3063.57 1
1.1%
2391.93 1
1.1%
2321.56 1
1.1%

무농약농산물
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean926.06216
Minimum9.18
Maximum15745.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-12T23:21:03.796736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.18
5-th percentile72.8835
Q1205.8
median341.925
Q3531.5275
95-th percentile3854.391
Maximum15745.42
Range15736.24
Interquartile range (IQR)325.7275

Descriptive statistics

Standard deviation2178.9504
Coefficient of variation (CV)2.3529202
Kurtosis28.41096
Mean926.06216
Median Absolute Deviation (MAD)146.5
Skewness5.0010357
Sum81493.47
Variance4747824.6
MonotonicityNot monotonic
2023-12-12T23:21:03.958062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 2
 
2.3%
350.0 2
 
2.3%
236.0 1
 
1.1%
326.1 1
 
1.1%
134.0 1
 
1.1%
414.56 1
 
1.1%
385.74 1
 
1.1%
141.0 1
 
1.1%
698.94 1
 
1.1%
62.59 1
 
1.1%
Other values (76) 76
86.4%
ValueCountFrequency (%)
9.18 1
1.1%
12.0 2
2.3%
60.13 1
1.1%
62.59 1
1.1%
92.0 1
1.1%
97.0 1
1.1%
98.0 1
1.1%
108.34 1
1.1%
134.0 1
1.1%
140.0 1
1.1%
ValueCountFrequency (%)
15745.42 1
1.1%
10327.65 1
1.1%
6655.75 1
1.1%
5355.84 1
1.1%
4308.95 1
1.1%
3010.21 1
1.1%
2922.65 1
1.1%
2170.74 1
1.1%
1971.66 1
1.1%
1553.18 1
1.1%

Interactions

2023-12-12T23:21:02.641281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:02.484198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:02.721778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:02.551704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:21:04.056705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군별구분유기농산물무농약농산물
시군별1.0000.0000.1810.000
구분0.0001.0000.4560.211
유기농산물0.1810.4561.0000.931
무농약농산물0.0000.2110.9311.000
2023-12-12T23:21:04.161400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군별
구분1.0000.000
시군별0.0001.000
2023-12-12T23:21:04.269909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유기농산물무농약농산물시군별구분
유기농산물1.0000.7420.0450.323
무농약농산물0.7421.0000.0000.141
시군별0.0450.0001.0000.000
구분0.3230.1410.0001.000

Missing values

2023-12-12T23:21:02.843102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:21:02.927611image/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

연도별시군별구분유기농산물무농약농산물
02022곡성군건수(건)244.0236.0
12022곡성군농가수(호)1637.0480.0
22022곡성군면적(ha)1324.11270.9
32022곡성군출하량(톤)3063.5715745.42
42022광양시건수(건)141.0193.0
52022광양시농가수(호)861.0673.0
62022광양시면적(ha)1366.4858.8
72022광양시출하량(톤)958.05302.52
82022구례군건수(건)180.0293.0
92022구례군농가수(호)464.0442.0
연도별시군별구분유기농산물무농약농산물
782022화순군면적(ha)619.99244.01
792022화순군출하량(톤)1272.531062.15
802022영광군건수(건)233.0140.0
812022영광군농가수(호)789.0190.0
822022영광군면적(ha)1460.87262.98
832022영광군출하량(톤)3809.86448.72
842022고흥군건수(건)107.0214.0
852022고흥군농가수(호)167.0462.0
862022고흥군면적(ha)592.431553.18
872022고흥군출하량(톤)350.881011.68