Lab 21 — More plotting with pandas
In this lab you will gain additional practice using pandas to create plots. We
will use datasets stored in files to create scatter plots, histograms, and box
plots. Start by downloading lab21.zip. Write all your code
in the lab21.ipynb Jupyter notebook.
Setup
To get things setup for this lab, do the following in a terminal:
conda activate cs110Reminder: The easiest way for you to do this is to use the PyCharm terminal.
Then you can run jupyter from a terminal:
jupyter notebookSee the Introduction to Jupyter if you need help with using Jupyter.
Plotting
Complete all the sections of the notebook you downloaded above.
Lessons
What we want you to get from this lab:
-
You are able to use a Jupyter notebook
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You can create scatter plots, histograms, and box plots with pandas using datasets stored in CSV files
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You are able to use group by in Pandas
-
Hopefully you had fun!
Points
Turn in a zip file with your Python notebook and the datasets.
| Task | Description | Points |
|---|---|---|
| tip percentage versus the total bill | Your plot is correct | 1 |
| tips for both men and women | Your plot is correct | 1 |
| tip pecentage versus party size | Your plot is correct | 1 |
| histogram of tip percentage | Your plot is correct | 1 |
| box plot of total bill by meal type | Your plot is correct | 1 |
| histogram of fare amount | Your plot is correct | 1 |
| box plot of fare amount | Your plot is correct | 1 |
| box plot of distance traveled by passenger count | Your plot is correct | 1 |
| scatter plot of congestion surcharge and pickup time | Your plot is correct | 1 |
| fare amount based on pickup location | Your plot is correct | 1 |
Note, there is lots of stuff we won’t grade, but is good practice in the notebook. Do all the work! 😊