Using Python

Sample Outputs

Thanks!!

Assignment Background This exercise is (again) about data manipulation. In this project we will process agricultural data, namely the adoption of different Genetically Modified (GM) crops in the U.S (http://www.ersusda.gov). The data was collected over the years 2000-2016. The issue of GM food adoption has been a topic ofcontroversy in recent years. In this project we are interested in how the adoption of different GM food and non-food crops has been proceeding in different states. We are going to determine the minimum and maximum adoption by state and the years when the minimum and maximum occurred. Assignment Specifications The data files The data files that you use are yearly state-wise percentage plantings for each type of crop: alltablesGEcrops.csv: the actual data from the USDA. data 1. csv: data modified to test this project. data2.csv: data modified to test this project, but you do not get to see it Assignment Background This exercise is (again) about data manipulation. In this project we will process agricultural data, namely the adoption of different Genetically Modified (GM) crops in the U.S (http://www.ersusda.gov). The data was collected over the years 2000-2016. The issue of GM food adoption has been a topic ofcontroversy in recent years. In this project we are interested in how the adoption of different GM food and non-food crops has been proceeding in different states. We are going to determine the minimum and maximum adoption by state and the years when the minimum and maximum occurred. Assignment Specifications The data files The data files that you use are yearly state-wise percentage plantings for each type of crop: alltablesGEcrops.csv: the actual data from the USDA. data 1. csv: data modified to test this project. data2.csv: data modified to test this project, but you do not get to see it