Goal is to show, How to use exploratory data analysis to point in fruitful directions of research, that is, towards answerable questions. Exploratory data analysis is a “rough cut” or filter which helps you to find the most beneficial areas of questioning so you can set your priorities accordingly. To show you that “real-world” research isn’t always neat and well-defined like textbook questions with clear cut answers.

Data analysis looking at changes in fine particulate matter (PM) air pollution in the United States using the Environmental Protection Agencies freely available national monitoring data. Our overall hypothesis is that outdoor PM2.5 has decreased on average across the U.S. due to nationwide regulatory requirements arising from the Clean Air Act.

This project will let you know what are the steps you need to follow while doing Data Analytics Project

This Data Analysis Project is to compare the impact of imputing the missing value over removing missing data.

The goal of this project is to explore the NOAA Storm Database to analyze which types of events are most harmful with respect to population health as well as economy.