Assignment 3 - due 11/25 You will need Jupyter Notebook for this assignment. Load a publicly available data set into a Pandas DataFrame. Sample data sources: https://data.boston.gov/...

Assignment 3 - due 11/25

You will need Jupyter Notebook for this assignment.

1. Load a publicly available data set into a Pandas DataFrame. Sample data sources:
   
   
   • 
     https://data.boston.gov/
     
   
   
   • 
     https://github.com/nytimes/covid-19-data
     
   
   
   • 
     https://github.com/CSSEGISandData/COVID-19
     
   
   
   • .. any other of your choice
   
   
   
   


2. Perform data cleanup, convert columns to appropriate types as some of the defaults chosen by Pandas may not be correct, e.g. '01' is a string and not a number.


3. Perform basic statistical analysis on the data. E.g., mean, median, max, min


4. Use Matplotlib to produce at least 2 graphs of subsets of your data, e.g., a bar chart of values over a period of time, a histogram with counts, a scatter plot, or a line plot of values over time.


5. Submit your Jupyter Notebook and any sample data here. If you upload your code to Github, submit a text file here with a link to your Github repo.

Useful documentation:

https://pandas.pydata.org/docs/user_guide/index.html

https://matplotlib.org/tutorials/index.html

Sample notebooks:

https://github.com/jakevdp/PythonDataScienceHandbook/tree/master/notebooks

https://github.com/dsurrao/CSC-225-01