Are you interested in data cleaning and visualization? Do your students use Google Sheets? Want a ready-made project for your class that uses Google Sheets for data cleaning and visualization? We have developed a case that is suitable for introductory accounting that uses just Google Sheets – and we provide step-by-step tutorial videos, making it easy to use in your classes.
Join us on Tuesday, July 19, from 1 – 1:30 pm Eastern, for a webinar on “ETL for introductory accounting: Google Sheets beginner project (KAT Concession Supply).” We will be covering how to request the instructor materials, what the project covers, how you can use it in your own classes, and more!
We will also answer any questions you have. The webinar is from 1 – 1:30 pm Eastern – you can register for this webinar at this link.
To see all the webinars we have scheduled, see our website webinar page at this link.
The introductory accounting ETL projects continue…today we are releasing the data cleaning project for Google Sheets. Google Sheets is a nice option to have available in case your student(s) only have access to a Chromebook; this project will run entirely on a Chromebook.
A key step in data analytics is getting the data ready for use – in fact, this step can take more time and effort than the analysis of the data. This brand-new Google Sheets project focuses on the data cleaning aspect of data analytics and is appropriate for introductory accounting – but could be adapted to any accounting class. This Google Sheets case is designed to guide students through data cleaning and data analysis with step-by-step tutorial videos.
KAT Concession Supply is a fictitious company that supplies food, paper products, and other items to fairs, amusement parks, and other organizations. Information in the KAT Concession Supply data sets includes information about its sales over a three-year period. The data from KAT Concession Supply has errors and irregularities in it and it must be cleaned so that an interactive dashboard about its operations can be prepared. This Google Sheets project is classified as beginner because it takes less than an hour to complete the entire project and the steps are pretty basic.
Complete step-by-step tutorial videos and an instructor guide are available to make project adoption easy and painless in accounting courses. The project is available at no cost for instructors to use in their classes.
Beginner project for Google Sheets
The ETL and other tasks in the beginner version of the Google Sheets data cleaning project are:
Widen all columns to automatically fit the contents
Find and remove duplicate records
Remove unwanted characters such as numbers, spaces, and nonprintable characters from fields
Find and replace text with replacement text
Change the case of a text field to uppercase or lowercase
Create a two-visualization interactive dashboard
Complete step-by-step instructions are provided for this project. Students have the choice of viewing the tutorial videos or downloading a pdf file of the annotated slides. The tutorials for this project have been split into two parts:
***You can obtain the Instructor Guide for the KAT Concession Supply beginning data cleaning project for Google Sheets by requesting it at this link.*** The instructor guide contains the data set, solutions, and other information.
Give us about 5 – 8 days to respond – but check your Spam folder for the email if you do not see our email within that approximate time frame. (You may want to add email@example.com to your Safe Senders list. Please don’t email to that email address – that is an email address used solely for distributing the project resources we have developed. Thank you!)
News flash: This data cleaning project is the third project in a set of ten data cleaning and visualization projects developed by Tracie Miller-Nobles, Jennifer Cainas, and me. We will be releasing new projects approximately twice a month for the remainder of 2022. These projects will be available in three levels: Beginner (five data cleaning techniques plus two-visualization dashboard); Intermediate (beginner steps with seven additional data cleaning techniques plus three-visualization dashboard); and Advanced (intermediate steps with additional data cleaning techniques plus four-visualization dashboard.) In addition, the projects will be available in four software tool combinations: Excel, Google Sheets, Tableau Prep combined with Tableau, and Alteryx combined with Power BI.