faheem-nizar / deaths_visualization

Visual Exploration of Cause of Deaths around the World

This file explains how to run the tool and a basic explanation of the interface. The tool can be used to analyse causes of deaths and help in planning for the future.

Requirements

For running the file, first make sure you have all the packages installed. This can be done by running the requirements.txt file

pip install -r requirements.txt

Make sure you have a python version of atleast 3.12^.

Usage

To run the file, you need to follow the following steps.

Clone

Clone the file into your local system.

git clone https://github.com/Faheem-Nizar/deaths_visualization.git

Run the interface

To run the interface, move to the directory and run the dataiz file as

streamlit run dataviz.py

Once the Streamlit server is running, open a web browser and go to http://localhost:8501 to access the data visualization tool.

Features

There are five pages in the interface, with each page providing a special type of visualization.

• World Map
• 2 Variable World Map
• Disease Comparisons
• Continent Wise
• Country Wise trend Analysis

Furthermore, there are additional features within each page and specific to pages to visualize more effectively.

• Population normalization: It recalculates the dataset shown in the visualization to show deaths per 1000 people. The feature isn't available for the 2 variable World Map.
• Time variation: Since the dataset is a timeseries one, we have built sliders in each page to see how the values vary.
• Disease Selection: We have dropdowns to select exactly which disease to show.
• Country Selection: For the linear analysis, we can select the country/countries that we need to visualize and compare the deaths with time.
• Navigation: We have opted for a radio button based navigation on the left side of the interface.

More information about specific features and visualizations are given in the project report.