Program 6: Data Visualization

Logistics

Due Date: Wednesday, December 6th no later than 11:59 p.m.
Partner Information: You may complete this assignment individually or with exactly one partner. If you work with a partner, you must both be enrolled in the same lab section. (Otherwise, you and your partner will receive no credit.)
Submission Instructions (working alone): Upload your solution, entitled YourFirstName-YourLastName-Program6.py to the BrightSpace Program 6 Dropbox.
Submission Instructions (working with one lab mate): Upload your solution, renamed to YourFirstName-YourLastName-PartnerFirstName-PartnerLastName-Program6.py to the BrightSpace Program 6 Dropbox. Note: If you work with a partner, only one person needs to submit a solution. If you both submit a solution, the submission that will be graded is the one from the partner whose last name comes alphabetically first.
Deadline Reminder: Once the submission deadline passes, BrightSpace will no longer accept your Python submission and you will no longer be able to earn credit. Thus, if you are not able to fully complete the assignment, submit whatever you have before the deadline so that partial credit can be earned.

Download the ufo_sightings.csv file that is located on this web page to the same directory where your Program 6 python file is located.
Use pandas and/or matplotlib to produce two different visualizations that help the user gain insight into the information contained in the csv file.

20 points - pandas and/or matplotlib are used to produce two insightful visualizations. All or nothing.
20 points - Each visualization is a different type. For example, one visualization could be a bar chart and the other could be a pie chart. All or nothing.
10 points - The visualizations use the underlying data to show different things. All or nothing.
20 points - All aspects of each visualization are clearly labeled. 3 points for each type of improvement up to 20 points.
5 points - The first visualization yields an interesting insight that is explained in a comment at the top of your program. For example, if the program visualized the Montana population by decade, the population is flat to decreasing from 1920 to 1940. This is interesting because populations normally increase and is explained by drought and depression.
5 points - The second visualization yields an interesting insight that is explained in a comment at the top of your program, similar to the requirement for the first visualization.
20 points - The Python solution is properly commented, easy to understand and does not contain unnecessary code. 3 points for each type of improvement up to 20 points.

The points you earn from the grading scale above will be multiplied by .9 for a maximum of 90 points.
The other 10 points can be earned by adding a third visualization that is of a different type than the first two visualizations and yields an interesting insight that is explained at the top of your program, similar to the requirement for the first two visualizations.