Data Analytics offers a powerful insight that drives better business decisions. It has gained much popularity in the last few years, with companies involved in all fields spending millions on receiving and analyzing data. This section covers the Google Sheet Data Analysis functions used for analyzing data in Google Sheets. These functions are as follows:

VLOOKUP

The main portion of Data Analytics is scouring for data. Users may not face this issue when working on a single sheet with a couple of entries, but when you have multiple spreadsheets with hundreds of rows and columns, you need an effective way of dealing with data.

VLOOKUP helps with that issue. It is referred to as vertical lookup, especially with values in vertical columns. Hence, to streamline the VLOOKUP processes, it is recommended to use columns as fields.

The only drawback of this feature is that it requires an exact value. Therefore, if you want an estimated match, keeping this function out of the mix is recommended.

ABS

The ABS function is referred to as the Absolute function and is equal to the modulo function. This means the user gets the complete value of numbers, treating positive and negative numbers as equal.

So, if you're using ABS on a bunch of cells having mixed values, you get an evenly positive spread; the magnitude of each number only varies, not polarity. This is important when integrating data from numerous columns into a compound calculation as an irregular negative value may cause spin into your results.

Index and Match

The MATCH function looks for cells that contain an approximate value in the chosen spreadsheet. In addition, it offers the relative positioning of the specified cell in a certain range, making it important to look through arranged values.

The MATCH function and INDEX function work together, which enables it to work as a substitute for the VLOOKUP feature.

This happens as the INDEX function depends on the cell's value, while MATCH enables users to search the index of the value they require. Using both these Google Sheet Data Analysis features, users can easily look for the values throughout the spreadsheet, like the VLOOKUP function.

Macros

Macros are user-defined features that perform all the manual actions. Macros are mainly used to refer to any repetitive, large-scale task. Thus, this Google Sheet Data Analysis feature helps minimize mistakes and reduce time spent handling the spreadsheet.

Macros can be made in two ways: by recording or scripting them. Recording Macros is the easiest way to create a macro, though it is somewhat confined. On the other hand, scripting macros require coding knowledge and give considerable power and control to the user.

Conclusion

This article discusses different Google Sheet Data Analysis functions to help you with data visualization. Pulling compound data from various data sources can be a difficult task, and this is where these data analyzing functions save the day!