A Look at COVID-19 Search Behavior in 2020 As a search engine optimization (SEO) specialist, I am always interested in understanding how people search online, and the motivations and reasons behind their searches. Therefore, I was excited to look at … Continue reading Explore Google Trends Data with the ‘gtrendsR’ Package in R
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}
Text Sentiment Analysis in R Today, we celebrate the life of Martin Luther King Jr., his achievements as a civil rights leader and his fight against racial segregation and racism in the United States. There is no doubt that MLK … Continue reading Martin Luther King Jr.’s “I Have a Dream” Speech
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
Democratic Candidates’ Engagement on Twitter Now that I have covered several posts on how to scrape tweets from Twitter, it is time to explore some tweet data. Luckily, there are easy ways to explore tweet data with regular R packages … Continue reading Explore Tweet Data with dplyr and gglpot
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
