NF 160 Introduction to Data ScienceTwitter Data AnalysisDue Date: Nov 5, 2020Points: 22Objective:Examine students’ ability to create Twitter applications in order to download tweets by using the R platform for data science projects.Tasks:Students will create a Twitter application for scraping tweets by using the R platform. They will use this application to download a total of 200 tweets by searching with their chosen hashtag and from a user profile. The first 100 tweets will be collected by using a student-chosen hashtag/keyword and the rest 100 tweets will be collected from a student-chosen Twitter user profile.Deliverables:Two files:One word processing/PDF file explaining the steps of Twitter application creationThe RStudio file that contains codes for Twitter data collectionSubmission:Upload both of these files in Canvas Assignment section.Points and Rubrics:Word Processing/PDF file:The word processing/PDF file explaining the steps of Twitter application creation will get a maximum of 5 pointsInclusion of comprehensive application creation steps will get a maximum of 5 pointsInclusion of minimal application creation steps will get a maximum of 3 pointsNo explanation of Twitter application creation will get 0 pointRStudio File:The RStudio file will get a maximum of 6 points150-199 tweets comprising of a hashtag and user profile will get 5 points50-149 tweets comprising of a hashtag and use profile will get 3 pointsLess than 50 tweets comprising of a hashtag and user profile will get 2 pointsNo tweet will get 0 points