Data
Soybean-price-factor-data-1962-2018

Soybean-price-factor-data-1962-2018

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Context Soy beans are a major agricultural crop. Content Compilation of Soybean prices and factors that effect soybean prices. Daily data. Temp columns are daily temperatures of the major U.S. grow areas. Production and Area are the annual counts from each country (2018 being the estimates). Prices of commodities are from CME futures and are NOT adjusted for inflation. Updates of these CME futures can be found on Quandl. Additional data could be added, such as, interest rates, country currency prices, country import data, country temperatures. More raw data I used to assemble this. https://github.com/MotorCityCobra/Soy_Data_Collection Browse my other projects and offer me a job. Acknowledgements https://www.quandl.com/ Banner Photo by rawpixel on Unsplash

48 features

Datestring20700 unique values
0 missing
soux_Hnumeric125 unique values
0 missing
soux_Lnumeric114 unique values
0 missing
indianap_Hnumeric114 unique values
0 missing
indianap_Lnumeric105 unique values
0 missing
memphis_Hnumeric99 unique values
0 missing
memphis_Lnumeric90 unique values
0 missing
Goldnumeric5588 unique values
0 missing
USDnumeric11286 unique values
0 missing
Oilnumeric4065 unique values
0 missing
bean_highnumeric3916 unique values
0 missing
bean_lownumeric3863 unique values
0 missing
bean_settlenumeric4347 unique values
0 missing
bean_volumenumeric11756 unique values
0 missing
bean_openintnumeric12839 unique values
0 missing
meal_highnumeric3505 unique values
0 missing
meal_lownumeric3428 unique values
0 missing
meal_settlenumeric3776 unique values
0 missing
meal_volumenumeric8405 unique values
0 missing
meal_openintnumeric10714 unique values
0 missing
soyoil_highnumeric3719 unique values
0 missing
soyoil_lownumeric3696 unique values
0 missing
soyoil_settlenumeric3893 unique values
0 missing
soyoil_volumenumeric8503 unique values
0 missing
soyoil_openintnumeric10784 unique values
0 missing
US_Areanumeric58 unique values
0 missing
US_Productionnumeric58 unique values
0 missing
Brazil_Areanumeric58 unique values
0 missing
Brazil_Productionnumeric58 unique values
0 missing
Argentina_Areanumeric58 unique values
0 missing
Argentina_Productionnumeric57 unique values
0 missing
China_Areanumeric58 unique values
0 missing
China_Productionnumeric58 unique values
0 missing
India_Areanumeric49 unique values
0 missing
India_Productionnumeric51 unique values
0 missing
Paraguay_Areanumeric55 unique values
0 missing
Paraguay_Productionnumeric58 unique values
0 missing
Canada_Areanumeric58 unique values
0 missing
Canada_Productionnumeric58 unique values
0 missing
RussianF_Areanumeric51 unique values
0 missing
RussianF_Productionnumeric52 unique values
0 missing
CentAmer_Areanumeric57 unique values
0 missing
CentAmer_Productionnumeric56 unique values
0 missing
Bolivia_Areanumeric26 unique values
0 missing
Bolivia_Productionnumeric26 unique values
0 missing
Africa_Areanumeric57 unique values
0 missing
Africa_Productionnumeric56 unique values
0 missing
Market_Opennumeric2 unique values
0 missing

19 properties

21828
Number of instances (rows) of the dataset.
48
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
47
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
97.92
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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