Data 624- Advanced Exploration and Visualization in Health
Instructor: Zahra Shakeri– Winter 2021
Final Project - Tweet Labelling / Analysis / Visualization
General Description
For this project you will be required to analyze and create a data visualization that answers three PASS (Physical Activity, Sedentary Behaviour, Sleep Quality) questions. The three questions will be created by another group in class. Your presentation and visualization should be formatted as a professional pitch. The dataset available is a collection of tweets, which will be made available to you by Data Intelligence for Health (DIH) Lab.
Team Requirements
- The projects will be completed in groups of two
- Groups must be submitted by Friday, January 29, 2021 (11:59pm)
- Email your team (names and emails) to dina.labib@ucalgary.ca
- Teams will choose the questions they wish to answer on a first come first serve basis and will be selected on Wednesday (Feb 3rd) at 12:00 pm
Teams as Clients
- Each team is required to define 3 to 5 PASS relevant questions that can be addressed by the twitter dataset
- The three questions should all relate to an overall topic or theme
- These questions are due on Monday, February 1st, 2021 (11:59pm)
Presentation / Implementation
- The teams will each present their data visualization to the class and guests from industry and academia on April 7th, 2021
- Your visualization and presentation should be presented as a professional pitch to the group who assigned the questions
- It should clearly answer the three main questions and interpretations of the results
- Visualizations are expected to be done in Tableau or Javascript
- You will have 15 minutes to present, followed by 5 minutes for questions
Things to Remember
- Know your goal - Who is your target audience? What is your visualization’s intended meaning?
- Use the right data - Sometimes less is more, sometimes less is really less.
- Design for aesthetics - Your visualization should be both functional and aesthetically pleasing.
- Choose an effective medium and channel - Your software and visualization tools should be chosen to best express your data.
- Check your results - Did you reach the audience? Do you think your audience were interested and reacted the way you intended?