Lesson 18: Quantitative Exploratory Data Analysis

March 28, 2018

Review:

• Exam 2 – scoring update
• Statistical Thinking in Python (Part 1)
• Term Project
  • Data Analysis project
  • Python or Sheets (or Microsoft Excel, if you must)
  • Question – which do you prefer
    • I assign the data and project objectives
    • Or you create your own project (and find appropriate data)?

Presentation:

• Exploratory Data Analysis
  • Visualization with the Seaborn package
  • Check out my histograms on repl.it
    • https://repl.it/@justinholman/SeabornHistograms

Activity (in class):

• Using your real estate csv file (from Exam 1)
  • Make 4 histograms of “Selling Price”
    • regular histogram (vertical bars)
    • density curve only
    • density curve with “rug”
    • regular histogram with density curve and rug
  • Histograms can be separate .png files
  • Bonus: all four on one grid saved to graphic (.png file)
  • Show me your repl.it program

Assignment:

• Complete Ch. 2 Quantitative Exploratory Data Analysis in Statistical Thinking in Python (Part 1)