Understanding Aggregation in Google Sheets
In the context of Google Sheets, aggregation is the process of summarizing tabular data.
You can aggregate/summarize tabular data in Google sheets by calculating the sum, average, maximum, minimum, median, etc of all the values of a field.
Consider the following data set from a Google Sheet:
Here is how this tabular data can be aggregated in Google Sheets:
- Total Sales from all customers = $8,441.00
- Average Sales from all customers = $844.10
- Highest Sales from a customer = $2,130.00
- Lowest Sales from a customer = $380.00
- Median Sales = $738.50
- Total number of orders = 10
- Total number of customers = 8
Google Sheets provide many functions through which you can aggregate data.
For example:
#1 SUM
Use this function to calculate the sum/total of all values:
#2 AVERAGE
Use this function to calculate the average of all values:
Get the E-Book (50 Pages)
Get the E-Book (62 Pages)
#3 MAX
Use this function to find the maximum /highest value in a numeric field:
#4 MIN
Use this function to find the minimum /lowest value in a numeric field:
#5 MEDIAN
Use this function to find the median in a numeric field.
A median is a middle number in a sorted list of numbers:
#6 COUNT
Use this function to count the number of values in a field:
#7 COUNTUNIQUE
Use this function to count the number of unique values in a field:
Other Articles on Google Sheets
- How to use Google Data Studio with Google Sheets
- Supermetrics queries for Google Sheets – Tutorial
- How to format Google Sheets data for Google Data Studio
- How to extract data from Facebook Ads into Google Sheets
- How to extract data from Google Ads into Google Sheets
- Working with Timezones in Google Sheets and Google Data Studio
- How to use Supermetrics for Google Sheets Add-on
- How to extract data from Google Search Console into Google Sheets
- How to extract data from Excel or CSV file into Google Sheets
Do you know the difference between Web Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Web analytics, Google Analytics (GA) and Google Tag Manager (GTM).
So they are teaching GA and GTM in the name of teaching Web analytics.
They just copy each other. Monkey see, monkey do.
But Web analytics is not about GA, GTM.
It is about analyzing and interpreting data, setting up goals, strategies and KPIs.
It’s about creating strategic roadmap for your business.
Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.
You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.
You are either likely to end up somewhere other than your destination or you get involved in an accident.
You learn data analysis and interpretation from Web analytics and not from Google Analytics.
The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.
You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.
So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.
Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.
You need to know lot more than GA in order to work in Web analytics and marketing field.
So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.
Here what You'll Learn On This FREE Web Class!
1) Why digital analytics is the key to online business success
2) The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
3) Why Google and Facebook ads don’t work for most businesses & how to make them work.
4) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
5) The number 1 reason why conversion optimization is not working for your business.
6) How to advertise on any marketing platform for FREE with an unlimited budget.
7) How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
Himanshu Sharma
Digital Marketing Consultant and Founder of Optimizesmart.com
In the context of Google Sheets, aggregation is the process of summarizing tabular data.
You can aggregate/summarize tabular data in Google sheets by calculating the sum, average, maximum, minimum, median, etc of all the values of a field.
Consider the following data set from a Google Sheet:
Here is how this tabular data can be aggregated in Google Sheets:
- Total Sales from all customers = $8,441.00
- Average Sales from all customers = $844.10
- Highest Sales from a customer = $2,130.00
- Lowest Sales from a customer = $380.00
- Median Sales = $738.50
- Total number of orders = 10
- Total number of customers = 8
Google Sheets provide many functions through which you can aggregate data.
For example:
#1 SUM
Use this function to calculate the sum/total of all values:
#2 AVERAGE
Use this function to calculate the average of all values:
Get the E-Book (50 Pages)
Get the E-Book (62 Pages)
#3 MAX
Use this function to find the maximum /highest value in a numeric field:
#4 MIN
Use this function to find the minimum /lowest value in a numeric field:
#5 MEDIAN
Use this function to find the median in a numeric field.
A median is a middle number in a sorted list of numbers:
#6 COUNT
Use this function to count the number of values in a field:
#7 COUNTUNIQUE
Use this function to count the number of unique values in a field:
Other Articles on Google Sheets
- How to use Google Data Studio with Google Sheets
- Supermetrics queries for Google Sheets – Tutorial
- How to format Google Sheets data for Google Data Studio
- How to extract data from Facebook Ads into Google Sheets
- How to extract data from Google Ads into Google Sheets
- Working with Timezones in Google Sheets and Google Data Studio
- How to use Supermetrics for Google Sheets Add-on
- How to extract data from Google Search Console into Google Sheets
- How to extract data from Excel or CSV file into Google Sheets
Do you know the difference between Web Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Web analytics, Google Analytics (GA) and Google Tag Manager (GTM).So they are teaching GA and GTM in the name of teaching Web analytics.
They just copy each other. Monkey see, monkey do.
But Web analytics is not about GA, GTM.
It is about analyzing and interpreting data, setting up goals, strategies and KPIs.
It’s about creating strategic roadmap for your business.
Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.
You are either likely to end up somewhere other than your destination or you get involved in an accident.
You learn data analysis and interpretation from Web analytics and not from Google Analytics.The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.
You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.
Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.
You need to know lot more than GA in order to work in Web analytics and marketing field.
So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.
Here what You'll Learn On This FREE Web Class!
1) Why digital analytics is the key to online business success
2) The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
3) Why Google and Facebook ads don’t work for most businesses & how to make them work.
4) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
5) The number 1 reason why conversion optimization is not working for your business.
6) How to advertise on any marketing platform for FREE with an unlimited budget.
7) How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
Himanshu Sharma
Digital Marketing Consultant and Founder of Optimizesmart.com