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
