This slide deck accompanies the Word Prediction APP that I created as a Capstone assignment for the JHU/Coursera Data Science Specialization.

This slide deck accompanies the Word Prediction APP that I created as a Capstone assignment for the JHU/Coursera Data Science Specialization.

The goal of this project is just to display that you've gotten used to working with the data and that you are on track to create your prediction algorithm. Submit a report on R Pubs (http://rpubs.com/) that explains your exploratory analysis and your goals for the eventual app and algorithm. This document should be concise and explain only the major features of the data you have identified and briefly summarize your plans for creating the prediction algorithm and Shiny app in a way that would be understandable to a non-data scientist manager. You should make use of tables and plots to illustrate important summaries of the data set. The motivation for this project is to: 1. Demonstrate that you've downloaded the data and have successfully loaded it in. 2. Create a basic report of summary statistics about the data sets. 3. Report any interesting findings that you amassed so far. 4. Get feedback on your plans for creating a prediction algorithm and Shiny app.

Based on data compiled by the CDC (data noted on next slide), the average national homicide rate for 2019 was 6.16% per 100,000. The results of the 2020 Presidential Election allocated each state's electoral votes to one of the two political parties - Republican, Democratic.(US Archives data noted on next slide). My shiny app will allow the user to select a State and view the following: which party was allocated the state's electoral votes what the 2019 homicide rate was for that state and the actual number of homicides

Oscar Winners by Age, Gender and Year

Best Actor and Actress winners by year and age.

Major US cities I have visited.