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.). It would be interesting to dive into this dataset to visualize it and use some machine learning algorithms to predict the bestsellers’ rating based on some selected features. Read more

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. Last night, as I was building up one of my shiny apps/dashboards by adding test of association of tweets collected from different sampling methods, I found out one of the differences between dplyr::summarize() and dplyr::summarise(). Read more

Data Introduction & Processing This dataset is from Kaggle, and it is about the trending Youtube statistics in the U.S. with more than 40000 rows and 16 columns. After loading the tidyverse library, we can take a peek on what the dataset looks like. Read more