Skip to main content

20 Google Sheets Formulas You Must Know!

With more and more businesses focusing on making decisions by understanding their data, the usage of Google Spreadsheets has increased enormously. Did you get stuck formatting heavy data to make decisions? Wondering what exactly are the Google Sheets formulas you need to implement on this data to make it crisp and understandable? For becoming a pro in the world of google sheets, you really need to know the backbone and the basic formulae before you jump onto advance hacks. If you’re a beginner and struggling with lumps of data, this is the right place to understand the basic functionalities of a Google Spreadsheet. We’ve written down simple and 20 most important and Google Spreadsheet functions to make your life easy! After reading this blog, you’ll be ready to implement these formulae right away! Here are the most useful and must know Google spreadsheets formulas.

Comments

Popular posts from this blog

Debugging Perl

The standard Perl distribution comes with a debugger, although it's really just another Perl program, perl5db.pl. Since it is just a program, I can use it as the basis for writing my own debuggers to suit my needs, or I can use the interface perl5db.pl provides to configure its actions. That's just the beginning, though. read more...

Perl wlan-ui

wlan-ui.pl is a program to connect to wireless networks. It can be run as a GUI which will offer a list of available networks to connect to.nstallation is simple and inelegant. Copy the program file (wlan-ui.pl) to a directory on your path. Next, create a new system configuration file to reflect your system. The system configuration file is different from the options configuration file (@configfile, above). The system configuration file tells the program how to configure the wireless interface, and the options configuration file sets defaults for access points and other things.

Reducing NumPy memory usage with lossless compression.

If you’re running into memory issues because your NumPy arrays are too large, one of the basic approaches to reducing memory usage is compression. By changing how you represent your data, you can reduce memory usage and shrink your array’s footprint—often without changing the bulk of your code. In this article we’ll cover:     * Reducing memory usage via smaller dtypes.     * Sparse arrays.     * Some situations where these solutions won’t work.