Data Visualization for Agriculture in Tableau
Authors- Boya Ravi Teja, Muktha Vamshi, Lekkala Abhilash Reddy, Professor Dr Diana Moses
Abstract-– Agriculture remains the backbone of the Indian economy, contributing significantly to the country’s GDP and sustaining the livelihoods of millions. This project presents a comprehensive analysis of agricultural data from Telangana and Andhra Pradesh for the years 2022 to 2024 using Tableau. The dataset includes detailed information on crop production, income generated, and fertilizer usage at the district level. Additionally, the dataset is extended to include five other countries (USA, UK, Germany, Australia, and Canada) to enable comparative geospatial analysis through symbol maps. The dataset is structured in a long format to facilitate efficient visualization and analysis in Tableau. The data is categorized under three key measures: Production, Income, and Fertilizer Usage. Each data point is associated with a detailed time-based hierarchy, including Year, Quarter, Month, and Day to enable time-series analysis and trend forecasting. The project aims to help stakeholders gain insights into crop performance, resource allocation, and income variations over time.
International Journal of Science, Engineering and Technology