Hands-On Lab 1: Using Pandas
DataFrames in Python
Python lab using native libraries (OS, Lists) as well as the Pandas dataframe library, to
prepare you for common techniques in reading and organizing data.
100 points.
In this lab we’re going to learn how to read in several spreadsheet files. Each file
contains annual superstore sales data for a particular market during a particular year.
There are 28 files in all. We will read the contents from each file into a pandas
dataframe where we can extract meaningful information from the data.
Video Tutorial
Dataset Download
2 – MSDA 683, NIU College of Business, OM & IS Dept. 2025. J. Kearsing
3 – MSDA 683, NIU College of Business, OM & IS Dept. 2025. J. Kearsing
14. In a new cell, show the total Sales, Profit, the Cost of Goods Sold, and Profit
4 – MSDA 683, NIU College of Business, OM & IS Dept. 2025. J. Kearsing
Margin.
5 – MSDA 683, NIU College of Business, OM & IS Dept. 2025. J. Kearsing
15. In a new cell, show the total Sales and Profit grouped by Market, rounded to two
decimal points.
6 – MSDA 683, NIU College of Business, OM & IS Dept. 2025. J. Kearsing
18. STUDENT PROBLEM 2. In a new cell, show a descending list of total Sales
grouped by County. Output should look like this:
7 – MSDA 683, NIU College of Business, OM & IS Dept. 2025. J. Kearsing
this:
8 – MSDA 683, NIU College of Business, OM & IS Dept. 2025. J. Kearsing
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