Data Visualization Course in Delhi | Data Visualization Training Institute in Delhi

Advanced Geo-Spatial Data Visualization Using Folium

In this project, participants create a geo-spatial visualization to analyze data with geographical attributes, such as tracking COVID-19 cases or visualizing customer distribution. Using Python's Folium library, they start by importing datasets containing latitude, longitude, and additional metrics like population density or infection rates. Participants design an interactive map where regions are color-coded based on data values. For instance, a choropleth map can show areas with high infection rates using a gradient scale. Additional features include marker clusters to display specific data points, such as the number of cases in each city, and pop-ups that provide detailed information when clicked. The map can also integrate time-based animations to show changes over time, such as the spread of cases or the growth of sales in different regions. This project highlights the practical applications of geo-spatial visualization in solving real-world problems, offering hands-on experience with tools that bring geographic data to life.

Interactive Sales Dashboard with Plotly and Dash

This project focuses on building an interactive sales dashboard using Python libraries Plotly and Dash. The goal is to visualize key sales metrics such as revenue, sales trends, product performance, and regional contributions. Participants begin by importing and preprocessing a dataset containing transactional data, including product categories, dates, and regions. They use Pandas to clean and aggregate the data, preparing it for visualization. Using Plotly, participants create dynamic and interactive charts like bar graphs for product performance, line charts for sales trends, and pie charts for regional sales contributions. The Dash framework is then employed to build a fully functional web-based dashboard, allowing users to interact with the visuals. Features such as dropdown filters, date range selectors, and hover-over tooltips provide deeper insights. For example, users can filter sales data by region or product category and visualize changes in real time. This project emphasizes creating dashboards that are both visually appealing and practical for business decision-making, equipping participants with skills highly valued in data-driven roles.