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Category: R

Data Science, RLeave a comment

Data Art: Voronoi Diagrams in R

April 3, 2021April 4, 2021 anishabharathsingh

Data science is a huge interest of mine, and has been for quite some years now, but before I started spending all of my free time coding, I used to do art. So, one day I thought to myself, how … Continue reading Data Art: Voronoi Diagrams in R

R, SEOLeave a comment
graph showing search interest for covid vs coronavirus over time

Explore Google Trends Data with the ‘gtrendsR’ Package in R

December 31, 2020December 31, 2020 anishabharathsingh

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

Data Science, R, RStudioLeave a comment

Practice with A/B Testing in R

July 6, 2020July 8, 2020 anishabharathsingh

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

R, RStudioLeave a comment

Data Point Shapes and Colors with ggplot2

May 17, 2020May 17, 2020 anishabharathsingh

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

Data Science, R, RStudioLeave a comment

Creating a Function in R

May 3, 2020May 4, 2020 anishabharathsingh

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

R, RStudio, SEO2 Comments

TF-IDF for SEO with R

March 24, 2020March 25, 2020 anishabharathsingh

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

Data Science, Events, R, RStudioLeave a comment

R-Ladies NYC: timetrackR and {gtsummary}

February 29, 2020March 1, 2020 anishabharathsingh

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}

R1 Comment

Martin Luther King Jr.’s “I Have a Dream” Speech

January 20, 2020March 22, 2020 anishabharathsingh

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

Data Science, R, RStudio, SEO1 Comment

Keyword Clustering for SEO with R

December 8, 2019 anishabharathsingh

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

Data Science, R2 Comments

Explore Tweet Data with dplyr and gglpot

November 26, 2019November 27, 2019 anishabharathsingh

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

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