CSCI 385 - Lab 2
Finding Relationships in FEV1 Data
Materials
Description
FEV1 is the amount of air that a subject can expel in one second.
This is an indicator used to diagnose Asthma and other pulmonary diseases. Linked above is
a dataset recording information about individuals and their FEV1 score.
Analyze this file using IPython and matplotlib, attempting to discover if there are any
relationships between the data fields. Specifically, you should
- Draw histograms
- Draw pie charts
- Draw scatter plots
- Divide the data into subcategories
- Use Linear Regression to look for patterns with high correlation
Be sure to label your axes, title your figures, and write descriptions of your
findings in Markdown blocks. What can you conclude from exploring this data?
What to Turn In
Use Moodle to turn in your IPython notebook.