Visually telling the story of how I have spent my time on various aspects of my senior project. We look at personal data exported from Clockify, such as the date, start time, end time, and descriptions of all my recorded work sessions.
No one likes sitting around waiting for code to finish running, and we may not have access to cloud computing options all the time. Even though we love R, we have to admit that it can be slow at times. Here are five different things that make dealing with computationally expensive operations in R more manageable (and maybe even more fun).
ggplot2 is arguably one of the most powerful plotting tools of any programming language. Built upon a solid grammar of graphics, ggplot2 allows you to quickly create highly customizable data visualizations. The ggtext package extends the bounds for customization even further.
What are the different ways of executing code within a string of text in Python and R? This post looks into the good and arguably best forms of string interpolation in two of the most popular programming languages for data science.
Small practice problems can be fun and challenging ways to test your programming skills! Solutions in R and Python to the FizzBuzz problem are provided at the end.
Showcasing the best Avatar: The Last Airbender visualizations from the Tidy Tuesday weekly challenge. All graphics are from the amazing R community!
Comparing the death-to-case ratio between the US and Sweden, and a brief commentary on 3D plots.
A brief, informal analysis of the hilarious sitcom, The Office.
An inside look at some R code in the wild. This post is a clarification of a previous post: PDF scraping with R is easy! I changed easy to possible. While scraping data from PDFs can often be accomplished with just a few tools, wrangling the scraped data can often take time.
You can definitely scrape data from PDFs; it really is not that difficult. The data wrangling is usually the hard part.
You get better at webscraping with R by webscraping with R. This is my attempt to webscrape a bunch of data on the epic show, Avatar: The Last Airbender.
Here is my initial EDA of the Avatar: The Last Airbender data that I scraped from the Avatar Wiki, now available in the "appa" R package.
Write functions, iterate with purrr, and stay organized to save time and work more efficiently!
Here are some helpful packages and functions to make EDA in R a bit easier.
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