In this project you'll use Python to do very basic data analysis on a spreadsheet. The standard project will use csv file that contains fake sales data. After completing the required tasks you are free to change the csv file that you use.

The csv file for the standard project is called ​sales.csv​ and is included with your course materials. Please ask your instructor in case you are unable to find it.

You will not need any additional knowledge beyond what is covered in this course to complete this project.

These are the required tasks for this project. You should aim to complete these tasks before adding your own ideas to the project.

1. Read the data from the spreadsheet
2. Collect all of the sales from each month into a single list
3. Output the total sales across all months

Here are a few ideas for extending the project beyond the required tasks. These ideas are just suggestions, feel free to come up with your own ideas and extend the program however you want.

● Output a summary of the results to a spreadsheet ● Calculate the following: ○ Monthly changes as a percentage ○ The average ○ Months with the highest and lowest sales ● Use a data source from a different spreadsheet (see Useful Resources) Useful Resources Free datasets at Kaggle ● Datasets ★ https://www.kaggle.com/datasets ● Documentation ★ https://www.kaggle.com/docs/datasets Working with Excel files in Python ● Homepage ★ https://github.com/python-excel/xlrd ● Documentation ★ https://xlrd.readthedocs.io/en/latest/ Seaborn graphing library ● Homepage ★ https://seaborn.pydata.org/ ● Documentation ★ https://seaborn.pydata.org/tutorial.html ● Tutorial ★ https://www.datacamp.com/community/tutorials/seaborn-python-tutorial ● Tutorial ★ https://www.geeksforgeeks.org/plotting-graph-using-seaborn-python/