Analyzed and visualized COVID-19 data for Pakistan using R, focusing on regional impact, case distribution, and predictive modeling to forecast deaths and recoveries. Developed insights to support targeted interventions and resource allocation.

COVID-19 Cases in Pakistan

This project analyzes COVID-19 data for various cities within Pakistani provinces from February 26, 2020, to April 19, 2020. The dataset includes information on total cases, deaths, and recoveries. The main objectives are to understand the regional impact, identify high-risk areas, and assess control measures' effectiveness. The project involves data visualization, statistical analysis, and predictive modeling using linear regression to forecast deaths and recoveries. The results provide insights into the distribution and severity of the pandemic, aiding in targeted interventions and resource allocation.

CV Summary Points Project Title: COVID-19 Cases in Pakistan Objective: Analyzed COVID-19 data to understand regional impact, identify high-risk areas, and assess the effectiveness of control measures. Tools and Technologies: R (Shiny, ggplot2), Data Analysis, Predictive Modeling, Data Visualization Key Tasks: Loaded and preprocessed the COVID-19 dataset. Handled missing values and outliers. Performed statistical analysis to summarize data. Visualized data using scatter plots, pie charts, and bar plots. Calculated probabilities of death and recovery by province. Developed predictive models using linear regression. Results: Identified significant variations in COVID-19 cases across regions. Provided insights into the distribution of cases, deaths, and recoveries. Predicted potential outcomes based on case numbers to aid in decision-making.