While a lot of the data utilized in Moore County has built in analysis systems, sometimes you need to utilize Microsoft Excel or Google Sheets to help you zero in on the data analysis you are trying to do.
The Planning, Accountability, & Research Department is here to assist you. We can pull data, build tables and charts, and organize your data in a way that is helpful and user friendly. Or, if you prefer, we can walk you through how to utilize Excel or Sheets in order to build your own proficiency in the tool.
Below are a few videos on the most common Excel/Sheet resources and tools.
Please reach out to Kate Faw for all your Excel or Google Sheet needs.
A pivot table is an incredibly powerful tool built right into Microsoft Excel that can transform massive amounts of raw data into a clear, concise summary in just a few clicks. It allows you to quickly sort, count, total, or average data stored in a table, providing instant insights and saving you countless hours of manual calculations.
Learning to use pivot tables will help you analyze data, spot trends, and create professional reports effortlessly, making your job easier and more efficient.
For additional support with Excel Pivot Tables, reach out to the Planning, Accountability, & Research Department,
Just like Microsoft Excel, Google Sheet's Pivot Table function is a powerful data analysis tool that helps you quickly summarize and analyze large datasets without complex formulas.
While it shares core functions with Excel's version, Google Sheets' pivot table has a more streamlined design and is limited in its advanced features. However, its most significant advantage is real-time collaboration, allowing multiple people to work on the same data and analysis simultaneously. In short, it trades some of Excel's power for greater simplicity and dynamic sharing.
The VLOOKUP function in Microsoft Excel and Google Sheets is a powerful tool for marrying information from multiple tables. Think of it like a digital matchmaker: it quickly finds a related data point in another location and brings it to your current table, saving you from manually searching through thousands of rows.
This makes it incredibly easy to combine multiple datasets, such as matching student UIDs with their homeroom teacher or attendance, in just a matter of seconds.