Data Visualization and Classification

Now that we’ve covered the types of data and data models. We’re going to cover how we display data in clean and effective ways.

Learning Outcomes

Lecture

• Discussion of descriptive statistics
• Overview of different data classification methods
  • Supervised vs. unsupervised methods
  • How do they relate to data types
  • Why classify data
• Data normalization methods
• Discussion of Canadian Census Data
• Pointers for effective data visualization
  • Importance of color choice
  • Clean, effective displays of information

Lab

• Use Simply Analytics to download Canadian census data
• Apply different data classification methods
• Practice creating effective visualizations

Deliverables

Every module will be scored out of 100 pts. For this module will be be submitting one map and a some written responses. You will also be taking a quiz consisting of multiple choice, numeric input, fill in the blank, etc. type questions. See the assessment page.