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India-Crop-Production-Data-Analysis

India is an agricultural country and approximately 60% of the population work in this industry directly or indirectly. And this industry contributes about 18% of total GDP.

Motivation

India has population of nearly 1.5 billion. And this thought intrigued me if India is able to produce to feed its population. Rainfall plays an important role in crop production. Hence I have also included rainfall data as well.

Dataset

Crop Production Dataset: https://aps.dac.gov.in/APY/Public_Report1.aspx

Rainfall Dataset: https://www.kaggle.com/datasets/rajanand/rainfall-in-india

Population Dataset: https://en.wikipedia.org/wiki/List_of_states_in_India_by_past_population

Screenshots

  1. Highest Crop Production (1997 - 2019)
image
  1. Monsoon Crops highly produced by states
image
  1. Winter crops highly grown in states
image
  1. Effect of Rainfall on crop Production
image
  1. Growth of Crop Produce and population over the years
image

Installation

Jupyter notebook with Anaconda:

https://docs.anaconda.com/ae-notebooks/user-guide/basic-tasks/apps/jupyter/index.html

Tableau Public:

https://www.tableau.com/en-gb/products/desktop/download

How to use?

  1. Jupyter notebook: Run each cell step by step to understand the process.

Tableau links:

https://public.tableau.com/app/profile/vrushali.kulkarni5437/viz/IndiaCropProduction_16888992946190/PopulationvsProductionGrowth

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