Overview

Dataset statistics

Number of variables9
Number of observations3048
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory229.3 KiB
Average record size in memory77.0 B

Variable types

Numeric5
Categorical3
Text1

Dataset

Description기상 여건 등에 따라 수급이 불안한 노지채소 품목에 대하여 농협과 농가가 계약재배를 통하여 수급과 가격 안정 유도제공 목록 : 연도, 시도, 시군구, 읍면동, 사업방식, 품목, 신청농가수, 신청물량, 신청면적, 신청금액, 계약농가수, 계약물량, 계약면적, 계약금액, 출하물량, 출하금액, 생성일시 , 갱신일시, 시도코드, 시군구코드, 읍면동코드
Author농림축산식품부
URLhttps://www.data.go.kr/data/3055089/fileData.do

Alerts

계약농가수 is highly overall correlated with 계약금액(천원) and 1 other fieldsHigh correlation
계약물량(킬로그램) is highly overall correlated with 계약금액(천원) and 1 other fieldsHigh correlation
계약금액(천원) is highly overall correlated with 계약농가수 and 2 other fieldsHigh correlation
계약면적(제곱미터) is highly overall correlated with 계약농가수 and 2 other fieldsHigh correlation
계약면적(제곱미터) is highly skewed (γ1 = 53.97937851)Skewed

Reproduction

Analysis started2023-12-12 06:04:19.461228
Analysis finished2023-12-12 06:04:24.132701
Duration4.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.8907
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2023-12-12T15:04:24.236258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010
Q12013
median2016
Q32019
95-th percentile2022
Maximum2022
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.6366213
Coefficient of variation (CV)0.0018039774
Kurtosis-1.1704527
Mean2015.8907
Median Absolute Deviation (MAD)3
Skewness0.042625749
Sum6144435
Variance13.225014
MonotonicityIncreasing
2023-12-12T15:04:24.472516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2014 260
8.5%
2013 256
8.4%
2017 246
8.1%
2011 244
 
8.0%
2016 243
 
8.0%
2012 240
 
7.9%
2015 238
 
7.8%
2018 238
 
7.8%
2020 236
 
7.7%
2019 235
 
7.7%
Other values (3) 612
20.1%
ValueCountFrequency (%)
2010 205
6.7%
2011 244
8.0%
2012 240
7.9%
2013 256
8.4%
2014 260
8.5%
2015 238
7.8%
2016 243
8.0%
2017 246
8.1%
2018 238
7.8%
2019 235
7.7%
ValueCountFrequency (%)
2022 197
6.5%
2021 210
6.9%
2020 236
7.7%
2019 235
7.7%
2018 238
7.8%
2017 246
8.1%
2016 243
8.0%
2015 238
7.8%
2014 260
8.5%
2013 256
8.4%

시도
Categorical

Distinct12
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
전남
629 
강원
445 
전북
416 
경북
361 
경남
285 
Other values (7)
912 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row강원
2nd row강원
3rd row전남
4th row전남
5th row전남

Common Values

ValueCountFrequency (%)
전남 629
20.6%
강원 445
14.6%
전북 416
13.6%
경북 361
11.8%
경남 285
9.4%
충남 284
9.3%
충북 274
9.0%
제주 153
 
5.0%
경기 133
 
4.4%
대구 43
 
1.4%
Other values (2) 25
 
0.8%

Length

2023-12-12T15:04:24.652055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전남 629
20.6%
강원 445
14.6%
전북 416
13.6%
경북 361
11.8%
경남 285
9.4%
충남 284
9.3%
충북 274
9.0%
제주 153
 
5.0%
경기 133
 
4.4%
대구 43
 
1.4%
Other values (2) 25
 
0.8%

시군
Text

Distinct97
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
2023-12-12T15:04:24.979920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0849738
Min length2

Characters and Unicode

Total characters9403
Distinct characters93
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.3%

Sample

1st row평창군
2nd row평창군
3rd row직할
4th row나주시
5th row목포신안시군
ValueCountFrequency (%)
직할 216
 
7.1%
부안군 109
 
3.6%
해남군 96
 
3.1%
정선군 95
 
3.1%
목포신안시군 91
 
3.0%
제주시 86
 
2.8%
고창군 82
 
2.7%
안동시 76
 
2.5%
거창군 74
 
2.4%
진도군 70
 
2.3%
Other values (87) 2053
67.4%
2023-12-12T15:04:25.553343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1890
20.1%
1078
 
11.5%
422
 
4.5%
420
 
4.5%
317
 
3.4%
282
 
3.0%
216
 
2.3%
216
 
2.3%
206
 
2.2%
196
 
2.1%
Other values (83) 4160
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9403
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1890
20.1%
1078
 
11.5%
422
 
4.5%
420
 
4.5%
317
 
3.4%
282
 
3.0%
216
 
2.3%
216
 
2.3%
206
 
2.2%
196
 
2.1%
Other values (83) 4160
44.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9403
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1890
20.1%
1078
 
11.5%
422
 
4.5%
420
 
4.5%
317
 
3.4%
282
 
3.0%
216
 
2.3%
216
 
2.3%
206
 
2.2%
196
 
2.1%
Other values (83) 4160
44.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9403
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1890
20.1%
1078
 
11.5%
422
 
4.5%
420
 
4.5%
317
 
3.4%
282
 
3.0%
216
 
2.3%
216
 
2.3%
206
 
2.2%
196
 
2.1%
Other values (83) 4160
44.2%

품목
Categorical

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
배추
737 
양파
577 
건고추
446 
마늘
403 
355 
Other values (5)
530 

Length

Max length3
Median length2
Mean length2.0734908
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배추
2nd row감자
3rd row마늘
4th row양파
5th row대파

Common Values

ValueCountFrequency (%)
배추 737
24.2%
양파 577
18.9%
건고추 446
14.6%
마늘 403
13.2%
355
11.6%
감자 184
 
6.0%
대파 163
 
5.3%
홍고추 125
 
4.1%
당근 50
 
1.6%
양배추 8
 
0.3%

Length

2023-12-12T15:04:25.742993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:04:25.914410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배추 737
24.2%
양파 577
18.9%
건고추 446
14.6%
마늘 403
13.2%
355
11.6%
감자 184
 
6.0%
대파 163
 
5.3%
홍고추 125
 
4.1%
당근 50
 
1.6%
양배추 8
 
0.3%

사업방식
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
매취
1917 
수탁
1131 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
매취 1917
62.9%
수탁 1131
37.1%

Length

2023-12-12T15:04:26.056303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:04:26.156057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매취 1917
62.9%
수탁 1131
37.1%

계약농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct623
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.17651
Minimum1
Maximum3597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2023-12-12T15:04:26.280447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median33
Q3135.25
95-th percentile900.65
Maximum3597
Range3596
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation344.78553
Coefficient of variation (CV)2.1129606
Kurtosis20.507068
Mean163.17651
Median Absolute Deviation (MAD)30
Skewness3.9889098
Sum497362
Variance118877.06
MonotonicityNot monotonic
2023-12-12T15:04:26.447289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 147
 
4.8%
2 127
 
4.2%
3 109
 
3.6%
4 93
 
3.1%
5 79
 
2.6%
6 69
 
2.3%
8 65
 
2.1%
9 55
 
1.8%
11 55
 
1.8%
7 51
 
1.7%
Other values (613) 2198
72.1%
ValueCountFrequency (%)
1 147
4.8%
2 127
4.2%
3 109
3.6%
4 93
3.1%
5 79
2.6%
6 69
2.3%
7 51
 
1.7%
8 65
2.1%
9 55
 
1.8%
10 34
 
1.1%
ValueCountFrequency (%)
3597 1
< 0.1%
3092 1
< 0.1%
2932 1
< 0.1%
2856 1
< 0.1%
2777 1
< 0.1%
2746 1
< 0.1%
2678 1
< 0.1%
2638 1
< 0.1%
2615 1
< 0.1%
2503 1
< 0.1%

계약물량(킬로그램)
Real number (ℝ)

HIGH CORRELATION 

Distinct2739
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2626776.4
Minimum840
Maximum1.822 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2023-12-12T15:04:26.659757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum840
5-th percentile20780.5
Q1162161.25
median655076.5
Q32074361.2
95-th percentile11303818
Maximum1.822 × 108
Range1.8219916 × 108
Interquartile range (IQR)1912200

Descriptive statistics

Standard deviation7839932
Coefficient of variation (CV)2.984621
Kurtosis173.93776
Mean2626776.4
Median Absolute Deviation (MAD)568545.5
Skewness10.8802
Sum8.0064144 × 109
Variance6.1464533 × 1013
MonotonicityNot monotonic
2023-12-12T15:04:26.857805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000.0 22
 
0.7%
200000.0 16
 
0.5%
150000.0 12
 
0.4%
400000.0 11
 
0.4%
1000000.0 10
 
0.3%
500000.0 9
 
0.3%
300000.0 8
 
0.3%
250000.0 8
 
0.3%
120000.0 7
 
0.2%
10000.0 7
 
0.2%
Other values (2729) 2938
96.4%
ValueCountFrequency (%)
840.0 1
< 0.1%
1164.0 1
< 0.1%
1800.0 1
< 0.1%
2064.0 1
< 0.1%
2112.0 1
< 0.1%
2236.0 1
< 0.1%
2484.6 1
< 0.1%
3724.0 1
< 0.1%
4200.0 1
< 0.1%
4276.0 1
< 0.1%
ValueCountFrequency (%)
182200000.0 1
< 0.1%
126145672.0 1
< 0.1%
124431592.0 1
< 0.1%
118540030.0 1
< 0.1%
114500766.0 1
< 0.1%
93107490.0 1
< 0.1%
77771970.0 1
< 0.1%
74874872.0 1
< 0.1%
69799755.0 1
< 0.1%
56170379.0 1
< 0.1%

계약금액(천원)
Real number (ℝ)

HIGH CORRELATION 

Distinct2800
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1568565.1
Minimum3428.1
Maximum57635944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2023-12-12T15:04:27.015453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3428.1
5-th percentile37578.75
Q1132000
median374895
Q31228317
95-th percentile7031236
Maximum57635944
Range57632516
Interquartile range (IQR)1096317

Descriptive statistics

Standard deviation4094568.8
Coefficient of variation (CV)2.6103914
Kurtosis68.487289
Mean1568565.1
Median Absolute Deviation (MAD)296103.5
Skewness7.1154565
Sum4.7809864 × 109
Variance1.6765494 × 1013
MonotonicityNot monotonic
2023-12-12T15:04:27.154534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000.0 19
 
0.6%
200000.0 15
 
0.5%
120000.0 13
 
0.4%
90000.0 9
 
0.3%
80000.0 6
 
0.2%
30000.0 6
 
0.2%
180000.0 6
 
0.2%
40000.0 6
 
0.2%
45000.0 5
 
0.2%
20000.0 5
 
0.2%
Other values (2790) 2958
97.0%
ValueCountFrequency (%)
3428.1 1
< 0.1%
4330.0 1
< 0.1%
4892.25 1
< 0.1%
5000.0 1
< 0.1%
5085.99 1
< 0.1%
5311.14 1
< 0.1%
5646.16 1
< 0.1%
5886.9 1
< 0.1%
6069.93 1
< 0.1%
6300.0 1
< 0.1%
ValueCountFrequency (%)
57635944.0 1
< 0.1%
51953647.1 1
< 0.1%
50740095.9 1
< 0.1%
49761947.2 1
< 0.1%
49449853.9 1
< 0.1%
47831703.9 2
0.1%
47071762.0 1
< 0.1%
45402056.4 1
< 0.1%
41999720.0 1
< 0.1%
37843701.6 1
< 0.1%

계약면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2891
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1268861.9
Minimum925
Maximum1.3822654 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2023-12-12T15:04:27.311161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum925
5-th percentile18720.3
Q182394.25
median223795
Q3710490.5
95-th percentile3213441
Maximum1.3822654 × 109
Range1.3822645 × 109
Interquartile range (IQR)628096.25

Descriptive statistics

Standard deviation25218061
Coefficient of variation (CV)19.874552
Kurtosis2954.554
Mean1268861.9
Median Absolute Deviation (MAD)181684
Skewness53.979379
Sum3.867491 × 109
Variance6.359506 × 1014
MonotonicityNot monotonic
2023-12-12T15:04:27.519014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40000 7
 
0.2%
30000 5
 
0.2%
57750 4
 
0.1%
15000 4
 
0.1%
26446 4
 
0.1%
44750 4
 
0.1%
60000 3
 
0.1%
20000 3
 
0.1%
33058 3
 
0.1%
68752 3
 
0.1%
Other values (2881) 3008
98.7%
ValueCountFrequency (%)
925 1
< 0.1%
1103 1
< 0.1%
1491 1
< 0.1%
2500 1
< 0.1%
2778 1
< 0.1%
3088 1
< 0.1%
3334 1
< 0.1%
3488 1
< 0.1%
4000 1
< 0.1%
4500 1
< 0.1%
ValueCountFrequency (%)
1382265400 1
< 0.1%
105758023 1
< 0.1%
101929624 1
< 0.1%
38607612 1
< 0.1%
18550837 1
< 0.1%
18298799 1
< 0.1%
17431107 1
< 0.1%
16854055 1
< 0.1%
15074193 1
< 0.1%
14155426 1
< 0.1%

Interactions

2023-12-12T15:04:23.181202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:04:20.225716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:04:20.917912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:04:21.595953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:04:22.239534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/