What did we learn and what to expect in assignment 1

Summary

Students are now expected to be able to:

• Describe the components of a Dataframe.
• Read a standard .csv file using Pandas pd.read_csv().
• Load the pandas library into Python.
• Demonstrate indexing and slicing with .loc[] and .iloc[].
• Demonstrate Selecting columns of a dataframe using df[] notation.
• Obtain values from a dataframe using .loc[].
• Sort a dataframe using .sort_values().
• Create simple summary statistics using .describe().
• Construct simple visualizations using Altair.
• Create a .csv file from a dataframe using .to_csv().

Assignment Instructions

The assignment will concentrate not only on the learning objectives above but also

• Navigating a Jupyter Notebook
• Understanding cells
• Creating Markdown cells and coding cells

Attribution

The cereal dataset:

“80 Cereals” (c) by Chris Crawford is licensed under Creative Commons Attribution-ShareAlike 3.0 Unported

On to Assignment 1!