The dataset for this blog post is from TidyTuesday about malaria situation across the world from different years.

The dataset for this blog analysis is from TidyTuesday about wind turbine data across different states in the U.

The dataset we will analyze is from TidyTuesday about movie profits for a slew of movie distributors with various genres.

R is a nice tool I use everyday for my data analysis work, especially those data science libraries such as tidyverse that have made my work productive.

In this blog post, we will analyze a horror movie dataset from TidyTuesday by visualizing some interesting metrics and by using text mining and applying LASSO model on predicting movie ratings.

In this project, we analyze the relations between college major and income after graduation.

COVID vaccination has been a trending topic around the world in the last a few months.

Keeping car accidents at bay is every driver’s hope, and all of us want to have a safe road trip.

The New York Times has released data related to mask-wearing (link is here), and in this dataset, it provides the estimated prevalence of the frequency of people wearing mask in each county of every state.

Fast food chains are ubiquitous. In this Kaggle dataset, it has records of 10000 fast food restaurants here in the U.