Inside the Tidyverse
Home
Experience
Posts
Projects
Contact
Resume
Posts
The Epilogue to Quantifying Differences between the Regular Season and the Playoffs
This is a brief analysis to answer a question by Tom Tango on my article, Quantifying Differences between the Regular Season and the …
Last updated on
Aug 18, 2019
R
Quantifying Differences between the Regular Season and Playoffs using Survival Analysis
From a casual fan perspective, the intensity traditionally ramps up in the playoffs because teams are closer to the grand prize, the …
Last updated on
Aug 17, 2019
R
A Quick Jab at K-Means Clustering
I grouped Twitter accounts by “popularity measure”, a quick and easy way (I came up with it) to quantify the popularity of …
Last updated on
Aug 17, 2019
R
Are Teams getting Lucky on Rushes?
When you watch an offensive rush in hockey, do you ever wonder about the numbers behind it?
Last updated on
Aug 18, 2019
R
2018 REU Tricks in R
My intent in this blog post is to share some of the tricks I learned in R to manipulate and visualize data inside the tidyverse
Last updated on
Aug 17, 2019
R
2018 REU Summary of a Data Mining Paper
This is a summary of the paper Discovery and Temporal Analysis of Latent Study Patterns in MOOC Interaction Sequences written by Mina …
Last updated on
Aug 17, 2019
R
2018 REU Wine Quality Prediction with caret
On June 14th, 2018, I participated in a Data Hackathon as part of the REU program at George Mason University.
Last updated on
Aug 17, 2019
R
2018 REU What does it mean to do research?
Drawing upon my experience so far, I believe that research is the act of contributing new knowledge to society through hard work, …
Last updated on
Aug 17, 2019
R
Data Visualization of Kaggle ML / Data Science Survey 2017
This is my first ever data analysis on my blog and I am excited to show what I have worked on with the Kaggle ML and Data Science …
Last updated on
Aug 17, 2019
R
«
Cite
×