Google Sheets is one of the productivity applications that’s included with free consumer Gmail and with G Suite [for business].
It is a cloud based spreadsheet application. No desktop software is needed to create and edit spreadsheets. Spreadsheets are stored in the cloud, on a virtual drive called Google Drive.
Google Sheets can be used for everything from basic calculations to sophisticated data analysis. Continue reading What is Google Sheets and How Does it Work?
One of many benefits to using G Suite is that G Suite users with access to their organization’s Google Analytics account can easily share specific slices of Google Analytics data with their co-workers.
The Google Analytics Add-on for Google Sheets lets a Sheets user who has a Google Analytics login create a variety of comparative visualizations within Google Sheets. Continue reading Google Analytics Reports in Google Sheets – Using Filters
G Suite users can now present data in Google Slides. And, this data can be presented in real time.
Until Google introduced this functionality, charts had to either be pasted as images into Google Slides or they had to be created using shapes. When the underlying data changed, a more up-to-date chart image had to be pasted into the slide or the shapes had to be modified. This could be very time consuming.
Google has provided two ways to embed data-driven charts right within individual slides. Continue reading Present Data in Google Slides – In Real Time
In his book “David and Goliath”, Malcolm Gladwell uses what he calls an inverted-U curve to illustrate the fact that decreasing the size of school classes increase academic achievement to a point, after which overall academic achievement starts to decline. Continue reading The Inverted-U Curve (In Google Sheets)
In the spring of 2013, we used SurveyMonkey Audience to collect data about what CRM systems were deployed at organizations across the U.S. The main question we asked in the survey was “What is your organization’s primary CRM system?”
After the survey finished its run, SurveyMonkey provided us with a CSV file of the survey results from approximately 750 respondents. The first thing we did was to upload the CSV file to Google Drive and then open the file with Google Sheets. Once we had the data in Google Sheets, we were able to easily create pivot tables and associated charts. Continue reading Publishing Pivot Table Charts to Your Website With Google Sheets