An analysis on motorcycle death rates across the world.

This is my first R project of the year. This analysis is on a dataset of bicycle rental transaction from the bay Area Bike Share Data Challenge provided by Leada

The "Next Text" web app allows the user to enter in any 3 word phrase and predicts the next word that most users would type. In addition, it offers other likely predictions (if the predicted word is not what the user was thinking) in the form of a word cloud. EXAMPLE: If the user types: "What are you" He/she gets a prediction of "doing".

The "Next Text" web app allows the user to enter in any 3 word phrase and predicts the next word that most users would type. In addition, it offers other likely predictions (if the predicted word is not what the user was thinking) in the form of a word cloud. EXAMPLE: If the user types: "What are you" He/she gets a prediction of "doing".

This is the first report showing the explanatory analysis done on the corpus. The final goal is to build a predictive model that predicts the fourth word that a user types into an input box.

This is a presentation to pitch the web app I built for a Developing Data Products (a Coursera course for the Data Science specialization). The web app takes any webpage and maps all the zipcodes from one city on a map.