National Avocado Pricing

This project involved analyzing the sales data of avocado pricing in the US using Python, Tableau, Excel, and SQL. The primary goal was to understand the factors affecting avocado prices and to identify any patterns or trends in the data.

The project utilized geospatial analysis, clustering, and linear regression techniques to gain insights into avocado sales patterns across different regions and to predict prices in the future.

Python was used for data cleaning & pre-processing, and SQL was used to extract data from the database. Tableau was used for data visualization and to create interactive dashboards for stakeholders. Excel was also used to create charts and graphs to summarize the analysis.

Overall, the project aimed to provide valuable insights into avocado pricing in the US, which could be used to inform pricing strategies for companies in the avocado industry.