Analyze by python (datasets from Kaggle)
The data and ipython notebook of my attempt to analyze the pesticide use in the US from Kaggle.
2014.csv, 2015.csv and dictionary.csv were used as datasets for this analysis.
The dataset includes annual county-level pesticide use estimates for 423 pesticides (active ingredients) applied to agricultural crops grown in the contiguous United States. Two different methods were used to estimate a range of pesticide use for all states except California.
Both low and high estimate methods incorporated proprietary surveyed rates for United States Department of Agriculture Crop Reporting Districts. Low estimates assumed zero use in the district for that pesticide; however, high estimates treated the unreported use of pesticides as missing data and estimated the pesticide usage from neighboring locations within the same region.
