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NF 160 Introduction to Data Science Twitter Data Analysis Due Date: Nov 5, 2020

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NF 160 Introduction to Data Science
Twitter Data Analysis
Due Date: Nov 5, 2020
Points: 22
Objective:
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 creation
The RStudio file that contains codes for Twitter data collection 
Submission:
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 points
Inclusion of comprehensive application creation steps will get a maximum of 5 points
Inclusion of minimal application creation steps will get a maximum of 3 points
No explanation of Twitter application creation will get 0 point
RStudio File:
The RStudio file will get a maximum of 6 points
150-199 tweets comprising of a hashtag and user profile will get 5 points
50-149 tweets comprising of a hashtag and use profile will get 3 points
Less than 50 tweets comprising of a hashtag and user profile will get 2 points
No tweet will get 0 points

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