In this project, we analyze Facebook stock dataset found on Kaggle, which is time-series related.

When we encounter any technical issues in our everyday work, one of the ways to get the issue addressed is Stack Overflow, where some users might have posted similar questions and useful solutions we can borrow for solving the problems we have at the moment.

When browsing Kaggle datasets, I came across this interesting dataset (here is the link) about ramen ratings, which includes some brands we encounter at each grocery store.

Recently, I came across the blog post by Emily Robinson titled Lesser Known Stars of the Tidyverse, and here is the link.

Project Introduction The dataset is from Kaggle, which indicates that accessing to drinking water is a basic human right.

Introduction This dataset is about Amazon Bestsellers between 2009 and 2019 from Kaggle with 50 books every year along with information related to each book (ratings, author(s) and pricing, etc.

Background Introduction As an avid R user for years, I’ve been using tidyverse ecosystem to do my data science work daily and from time to time would come across something new from the tools I use frequently.

Data Introduction & Processing This dataset is from Kaggle, and it is about the trending Youtube statistics in the U.