A Shiny app that fast can predict the next most probable word depending on the user text input

Demonstrate that you’ve downloaded the data and have successfully loaded it in. Create a basic report of summary statistics about the data sets. Report any interesting findings that you amassed so far. Get feedback on your plans for creating a prediction algorithm and Shiny app

Task 2: Exploratory Data Analysis Introduction Data Loading and Summarizing Data Sampling and Cleaning Most frequent words and word distributions Word distributions Bigrams Trigrams Quadgrams Session info

Download and explore the data Sample the data and save the sample Clean the sample data Initial Exploratory Data Analysis

R Markdown Presentation & Plotly

Shiny-Application-and-Reproducible-Pitch This peer assessed assignment has two parts. First, you will create a Shiny application and deploy it on Rstudio's servers. Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.

In this assignment we will map all world heritage sites registered with the UNESCO until the date of the creation of this page. The data is downloaded from the UNESCO official website https://whc.unesco.org/en/list/xls/?2021 on Jun.10th 2021. The map is created listing the sites, categorized as Cultural, Natural or Mixed. As you zoom in on different regions, you see all locations with its name and a brief description to help tourists locate them easily.

R Markdown Presentation & Plotly Summary This document shows the increase weights of chickens when feeding different diets across time. There are 50 chickens and 4 diets. Those 50 chickens are separated into 4 groups, and each group was fed with one diet.

Presentation

Beamer Presentation