I recently took DataCamp’s Introduction to Tableau course, and I have never experienced an easier way to visualize data. Tableau is a business intelligence and analytics software used by companies world-wide to clean data, explore and analyze data in worksheets … Continue reading Tableau Dashboard: Coronavirus Map
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}
Over the past couple of months, I was a student of MIT’s online Digital Marketing Analytics course. As an SEO, I thought it was important to understand the impact that all digital channels have on each other and how when … Continue reading MIT: Digital Marketing Analytics
Last week, I attended a Dataiku screening of “Data Science Pioneers,” a documentary about data science and its role in our evolving technological society. The documentary brought to light many valid points regarding society’s perspective of data science, the field … Continue reading Data Science Pioneers: Conquering the Next Frontier
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
In April, I started this blog as a way to share what I was learning on my data science journey. As we arrive at the end of 2019, I wanted to take this opportunity to thank everyone who has read … Continue reading 2019: Year in Review
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
R-Ladies NYC Book Club This week I attended my first R-Ladies Book Club event. As I have mentioned in the past, R-Ladies is an organization that promotes gender diversity in the R Programming community through talks, workshops, mentorship and even … Continue reading Invisible Women: Data Bias in a World Designed for Men
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
Journey to Data Scientist 