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Data Visualization Toolkit\nThis project is a Django-based web application that allows users to upload CSV files using [HTMX], clean and process the data using [Pandas], view previously uploaded files, display CSV data in an interactive table using [DataTables] Javascript library and visualize data using [Plotly] library.\n\n## Features\n- **CSV Upload:** Users can upload CSV files to the application.\n- **File Management:** View a list of previously uploaded files and select a file to display, download or visualize.\n- **Interactive Data Tables:** Display the CSV data using [DataTables] Javascript library for features like sorting, searching, and pagination.\n- **Data Cleaning and Preprocessing:** The uploaded CSV file is cleaned and preprocessed using [Pandas], which handles missing data, duplicates, and formatting. \n- **Data Visualization:** Generate and display interactive graphs using [Plotly] based on the data in the CSV files.\n- **Graph Selection:** Users can select specific types of graphs to visualize the data and view the selected graph directly within the application.\n\n## Technologies Used\n- **Frontend:** HTML, CSS, JavaScript, JQuery, Bootstrap, HTMX\n- **Backend:** Django\n- **Interactive Tables:** DataTables (Javascript Library)\n- **Data Pre-Processing:** Pandas\n- **Data Visualization:** Plotly\n- **Database:** SQLite (Default For Django)\n\n## 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