Author: Aditi Gautam
Description: Agriculture and food security is connected in India through the Public Distribution System. I would like to explore this relationship further by exploring if crop production has a relationship with nutrition, specifically fo the rural population.
This project is part of a summer research for the Master's of Science in Public Policy at New York University.
GitHub: https://github.com/adgautam
Crop Production statistics from the Open Data site for government data in India. The data is from 1997-2015 and lists the area and amount of production by district. The data is from the Ministry of Agriculture of India. Link to the dataset: https://data.gov.in/catalog/district-wise-season-wise-crop-production-statistics?filters%5Bfield_catalog_reference%5D=87631&format=json&offset=0&limit=6&sort%5Bcreated%5D=desc
Health and nutrition data is from the National Family Health Survey (NFHS): 2015-16. It is a large-scale, multi-round survey conducted in a representative sample of households throughout India by the government. I have downloaded the data for 2015-16. The data is aggregated to the district level. Link to the dataset: http://niti.gov.in/content/nutrition-charts
I also was to spatially show the difference in farming regions and nutrition across districts in India. I will be merging the file with geodata by district. Link to the dataset: https://geodata.mit.edu/catalog/stanford-sh819zz8121
This folder contains the codes, visualization and data specific to agricuture data.
This folder contains the codes, visualization and data specific to nutrition data.
This folder contains the codes, visualization and data specific to geodata.
This folder contains all the spatial visualizations undertaken with the merged data.
The main folder contains the code for combining the datasets and doing the final analysis.
Download R, R Studio and Github desktop.
Clone this repository.
Run the code "Agridata_exploratory_analysis" in the Agriculture folder to clean the agriculture dataset. Run the code "NFHS_Cleaning_2015" in Nutrition and "Cleaning_Geodata" in Geodata folders.
Run the code "Merged_All_Datasets" in the main folder to merge the clean datasets and produce the main analysis.
Please read the narrative for the analysis here: https://medium.com/@aditigautam1995/why-the-msp-is-important-to-solve-indias-hunger-problem-683761e47af1
Contact if you are facing any issues at aditigautam1995@gmail.com.