Brandon Smith Data Solutions

This article will focus on the methods used to answer certain questions about a winter olympic games dataset. Each question will be answered using the Python and Apache Spark library, Pyspark, which offers its own syntax for querying, as well as the ability to query using SQL syntax. The data... [Read More]

In this report I will characterize the most popular shows and movies on Netflix. Feel free to make your way over to https://github.com/BrandonSmith710/netflix_nlp_analysis if you would like the full dataset and notebook. [Read More]

Hello, welcome to this customer churn analysis report. If you’ll be following allowing with the code, the csv file needed can be found on Kaggle.com or at https://github.com/BrandonSmith710/customerChurnAnalysis. Click on the filename reading, “churn.csv” and then click download. Then, you’ll just need to make sure the necessary requirements are installed... [Read More]

The dataset examined in this post was made available on Kaggle.com by user vivek468, and contains 10000 rows of information for orders made to a superstore. [Read More]

This post takes a closer look at the satisfaction of passengers of a certain airline. Passengers in the age range of 7-85 answered questions pertaining to their comfort during the flight and overall satisfaction. For the purposes of this project, I limited the number of samples to 12,200. The airline... [Read More]