Alzheimer's Data Analysis in Julia

Overview

This small project analyzes Alzheimer's disease data using Julia. It performs data cleaning, sorting, filtering, and statistical analysis to provide insights into the relationship between Alzheimer's cases and various factors such as age, gender, smoking, and diabetes.

Features

• Loads and cleans Alzheimer's disease dataset (alzheimers_disease_data.csv).
• Filters and sorts data based on key parameters.
• Counts Alzheimer's cases based on diabetes status.
• Analyzes gender and smoking distribution among Alzheimer's patients.
• Computes age statistics (mean, median, standard deviation, min, max).
• Uses PrettyTables.jl for formatted data display.

Dependencies

To run this project, you need the following Julia packages:

using Pkg
Pkg.add(["CSV", "DataFrames", "Statistics", "PrettyTables"])