I recently completed an online course on A/B Testing and as someone who works with websites, this was something I wanted to try out for myself. In this post, I practiced doing an A/B test in R while thinking through … Continue reading Practice with A/B Testing in R
Data Visualization in R A couple of weeks ago, someone on Twitter asked how to change the shape of the circle data points on a plot in R. This made me realize that while I usually change size or color … Continue reading Data Point Shapes and Colors with ggplot2
Do you spend a lot of time writing the same code over and over again while working on your data science projects? Well, learning to turn your long chunks of code into a simple reusable function may be exactly what … Continue reading Creating a Function in R
I recently learned about TF-IDF as a measure of a words importance to a document and thought it would be an interesting idea to investigate with keywords in SEO. While many professionals have discounted TF-IDF as an effective tool for … Continue reading TF-IDF for SEO with R
Last week’s R-Ladies NYC Meetup was one focused on productivity and presentability. The evening consisted of two talks, both by Biostaticians of Memorial Sloan Kettering Cancer Center, with Jessica talking about her timetrackR Shiny app and Margie talking about the … Continue reading R-Ladies NYC: timetrackR and {gtsummary}
The job of an SEO is to ensure that websites are optimized and performing well on search engines for target keywords (the words people are using to search online). This involves performing keyword research on lists of target keywords to … Continue reading Keyword Clustering for SEO with R
When working with a data set, the first thing you need to do is organize your data to make it more “tidy”; what is commonly referred to as “tidy data”. Data sets usually have errors in them or need some … Continue reading Tidy Data with tidyr
Part Two: Scraping Tweets from Time Frames and Locations In a previous post, I introduced how to scrape tweets from Twitter. Specifically, I covered how to connect R to the Twitter API and how to extract tweets related to a … Continue reading Scraping Time and Location-Specific Tweets
On Tuesday, I attended an R-Ladies NYC Meetup which included an interesting talk on using parameters for R Markdown reports. This talk was presented by Elizabeth Mauer, a Research Biostatistician at Weill Cornell Medicine. At work, Elizabeth creates a lot … Continue reading Parameterizing R Markdown Reports
A Look at the Distribution of Pizza Menu Prices In this post, I will be covering how to create a violin plot and how to use a violin plot to look at the distribution of a variable, and compare distributions … Continue reading Violin Plots in RStudio
Journey to Data Scientist 