The Data Visualizer is a web-based dashboard application designed to help users explore and visualize data from various sources. Whether you're a data analyst, researcher, or anyone interested in gaining insights from data, this tool simplifies the process of creating meaningful visualizations from your datasets.
The Data Visualizer supports a wide range of visualization types, including:
- Scatter Plots
- Bar Charts
- Line Charts
- Pie Charts
- Box Plots
- Area Charts
- Heatmaps
- Violin Plots
- Histograms
- Polar Scatter Plots
- Sunburst Charts
- Choropleth Maps
Choose the type that best suits your data and analysis needs.
Tailor your visualizations to your liking with easy-to-use customization options. Adjust colors, labels, and titles to create visually appealing and informative charts and maps.
The application can visualize geographic data with interactive choropleth maps. Simply select a geographic variable, and the tool will generate an interactive map showcasing regional data distribution.
Easily load and switch between different datasets for analysis. The Data Visualizer supports various data formats, including CSV, Excel, and more.
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Run the application:
python app.py -
Access the application in your web browser at
http://localhost:8050. -
Select your visualization type, data source, and customize your charts or maps.
If you'd like to contribute to this project, please fork the repository and create a pull request. I welcome contributions and bug reports from the community.
Special thanks to the open-source community and libraries like Plotly, Dash, and Folium, which made this project possible.