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
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
Part One: Extracting Account Tweets and Tweets related to a Hashtag In this post, I am going to show you how to extract tweets from twitter! Specifically the tweets related to a certain account (or twitter handle) and tweets related … Continue reading Scraping Tweets from Twitter
Using Pipes to Simplify Multi-Step Code There is no doubt that we are in the midst of peak vacation season. When planning a trip, people use the web to find flights from on city to another. Unknowingly to vacation planners, … Continue reading A Look at Search Engine Rankings for “Flights” and “Ticket” Keywords
On Tuesday, I attended a Meetup event at General Assembly that included two talks from Dataiku and the Memorial Sloan Kettering Center. Hosted by Dataiku, the evening started off with Will Nowak, Solutions Architect at Dataiku, and his talk on: … Continue reading AutoML and Applying Bayesian Methods to Clustering Models
What is a Tibble? You may be familiar with the old data frame in R. Well, tibbles are data frames, but with some tweaks to make it a little more modern. As part of the tidyverse, the tibble is a … Continue reading Tibbles
Before you can work with a data set in RStudio, you will first need to import your data into RStudio. In this post I will show exactly how to read in data sets from typical files you may work with … Continue reading Reading Data from Excel, Text and CSV Files into RStudio
Which Wine Varieties are the Most Affordable? In my recent post about Variation, I used Kaggle’s Wine Reviews data set to explore the variation within wine variety, specifically to find the most common wines, with the most common being Chardonnay. I then looked at the variation of Chardonnay prices and ultimately found that the outliers in the data set may have been entered by error. A great example of why exploratory data analysis is needed for any project. Now, instead of looking at the variation in one variable, in this post I want to use the data to see the … Continue reading Exploratory Data Analysis: Covariation of a Categorical and a Continuous Variable
On June 19th, I attended the R-Ladies Lightning Talks event, a series of 5 minute talks presented by several members of the R-Ladies community. This event provided a great way to learn about some of the organizations members, and how … Continue reading R-Ladies Lightning Talks
Journey to Data Scientist 