Python Visualization Data Case Study

This project provides visualizations for US mortality data from 2020 to 2023, focusing on various causes of death including COVID-19.

Overview

The script 3diagram.py loads data from data.csv and generates three types of diagrams to analyze mortality trends:

1. Bar Chart: Total mortality by cause of death (2020-2023)
2. Line Plot: Monthly COVID-19 mortality trends by year
3. Pie Chart: Proportion of total deaths by selected causes

Requirements

• Python 3.x
• pandas
• matplotlib

Install dependencies using:

pip install pandas matplotlib

Data

• data.csv: Weekly mortality data from the US, including columns for various causes of death.

How to Run

1. Ensure data.csv is in the same directory as 3diagram.py.
2. Run the script:

   python 3diagram.py
   

3. The script will display the diagrams and save them as PNG files (figure1.png, figure2.png, figure3.png).

Output

• Figure 1: Bar chart showing total deaths by cause.
• Figure 2: Line plot of COVID-19 deaths per month across years.
• Figure 3: Pie chart of death proportions for selected causes.

Notes

• The script handles data cleaning, such as converting string numbers with commas to numeric values.
• Dates are parsed and used for time-series analysis.
• Generated PNG files are saved in the current directory.