Pivot tables have been with us for a long time and allow us to easily analyze data by changing the perspective from which we look at them. Recently, there is also a PIVOTBY function that allows us to get a similar report, but in an Excel spreadsheet. By marking rows, columns, values and other parameters, a dynamic report is generated. Here’s a post about how to use this function…
If writing SQL queries is in your job description I am certain that you, in great extent, inside SELECT command, use a GROUP BY clause that allows you to group row values by a given column and then apply an aggregation function, e.g. SUM, COUNT, AVERAGE, MIN, MAX… I have good news for you: we can achieve almost the same thing within an Excel report by using the GROUPBY function…
Python has finally become part of Excel, and from now on you can add pieces of Python code to a sheet to define datasets, process and visualize them. If you have a Microsoft 365 subscription and have downloaded update 2409 (Build 17628.20164), you will be able to use Python normally (no longer reserved for testers only). In this short intro you will learn what Python is and how it can enrich your reports.
A few years ago, Excel, which comes as part of a Microsoft 365 subscription, got the Ideas option. Now this option has been improved and is called Analyze Data. It enables, with the help of artificial intelligence, simple and fast data analysis to generate tables, pivot tables or charts according to user questions, which help user to visualize data in appropriate business reports.
Checkbox is not a new Excel feature. We were able to add checkboxes to Excel reports earlier, by choosing some of the controls offered in the Developer ribbon (Form Controls, ActiveX Controls). Recently, Microsoft has made this option much more accessible, and in the following post you will find out how to add a checkbox to your report and how you can analyze such reports.