furquanh / canadahousingstarts2022 Goto Github PK

This Streamlit dashboard provides an interactive way to explore and analyze the annual number of housing starts in Canadian urban centers with at least 10,000 people. The data is organized by type of dwelling, offering industry professionals and analysts a comprehensive overview of housing trends across the country.

• Data Overview: Interactive table displaying the housing starts data, with options to sort and filter based on different columns.
• Geographical Breakdown: Visualization of housing starts by location (province and urban center). Type of Dwelling Analysis: Bar charts to analyze the distribution of different types of dwellings across regions.
• Dynamic Filtering: Users can filter data based on provinces and urban centers using a sidebar. Interactive Visualizations: Utilizing Plotly for dynamic and interactive charts.

install Streamlit and Plotly, which are used for creating the dashboard and visualizations, respectively. You can install these packages using pip:

pip install streamlit plotly

To run the dashboard, navigate to the directory containing the streamlit_housing_dashboard.py file and the data file Housing_starts_2022.csv. Run the following command in your terminal:

streamlit run Hello.py

The dashboard uses a CSV file named Housing_starts_2022.csv, containing the following columns:

• Province: The province where the housing starts occurred.
• Centre: The name of the urban center.
• Census Subdivision: The specific subdivision within the urban center.
• Singles: The number of single-family homes.
• Semis: The number of semi-detached homes.
• Row: The number of row houses.
• Apartment and Other: The number of apartment units and other types of dwellings.
• Total: The total number of housing starts.

You can customize the dashboard by modifying the streamlit_housing_dashboard.py script. This includes adding new visualizations, enhancing filtering options, or modifying the layout and styling of the dashboard.

Contributions to this project are welcome. Please fork the repository, make your changes, and submit a pull request.

This project is licensed under the MIT License - see the LICENSE file for details.