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Census-Insights-Dashboard

An interactive census data visualization dashboard built with Plotly Dash in a Jupyter Notebook environment. Developed for the CP321 course, the project enables dynamic exploration of demographic data through dropdown filters, callback driven interactivity, and responsive visualizations for rapid analysis and presentation.

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Census-Insights-Dashboard

Census Dashboard Project This project is an interactive data visualization dashboard built using Plotly Dash within a Jupyter Notebook environment. It was developed for the CP321 course to explore and present census data in a user-friendly, visual format.

Features

Dynamic bar charts for visualizing demographic data.
Dropdown menu to filter data by category (e.g., age, gender, income).
Callback-based interactivity powered by Dash.
Responsive layout embedded directly into the notebook for quick iteration and review.

Technologies Used

Python
Jupyter Notebook
Pandas
Plotly
Dash (JupyterDash)
Plotly Express

Setup and Running Instructions:

Install Dependencies pip install pandas plotly dash jupyter-dash
Launch Jupyter Notebook jupyter notebook
Open CP321_Dash_Interactive_YashSoni.ipynb
Run all cells in order. The dashboard will appear directly in the notebook.

Data This project assumes the presence of a processed DataFrame that mimics census information. The data is likely included or created within the notebook. Please refer to the relevant cells for data preprocessing steps.