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Comparison Charts highlight the differences, similarities, and relationships between two or more quantities based on certain metrics.
How to make a comparison chart in Google Sheets? You may use two options either you can go with default charts available in Google Sheets or you can use the add-on to use a third-party library. Keep reading this blog you will find awesome visualizations that you should not ignore while choosing comparison charts in Google Sheets.
Definition: A comparison chart in Google Sheets is a visual representation that allows for the side-by-side evaluation of different data sets, attributes, or variables. It organizes information into rows and columns, enabling users to analyze and contrast it efficiently.
Typically, comparison charts in Google Sheets utilize different graphical elements such as bar graphs, pie charts, or tables to showcase similarities, differences, trends, or patterns among the data being compared.
These charts, including Comparison Bar Charts, are valuable tools for decision-making, trend analysis, performance assessment, and highlighting key insights within a dataset.
Through easy customization and manipulation of data, users can create dynamic and illustrative charts in Google Sheets to aid in their analysis and presentations.
Now, we will discuss how can you create 20 different comparison charts in Google Sheets by using ChartExpo. You can have an easy and understandable guide on how effortless is to create charts within a few clicks.
Let’s have a look at comparison charts by ChartExpo in Google Sheets. If you do not have the ChartExpo add-on installed in Google Sheets yet, you can do it from here.
in a minute to create and customize 20 types of comparison charts in a few clicks without any coding.
Let’s suppose you have sales data for a mobile store. The data is for the current month and the previous month. Proper comparison visualization is required to see how sales performance is going. Below is the sample data:
| Company | Previous Sale | Current Sale |
| Samsung | 50 | 86 |
| Apple | 64 | 97 |
| Huawei | 52 | 78 |
| LG | 81 | 87 |
| Lenovo | 65 | 79 |
| Motorola | 72 | 85 |
| HTC | 59 | 89 |
| Sony | 84 | 73 |
In Google Sheets, you can create the respective columns and fill the data in the cells accordingly.
Please note that every chart has its own properties, but the way of doing changes in the chart properties is the same as we discussed for this Progress Chart.
As per the visualization, it is clear how different brands of mobile sales went very well except for the Sony brand. This definitely needs some attention as to why the sales remained down this month.
Suppose you want to show your sales and growth data simultaneously. For this double bar chart is best suited for such requirements. Because it can show two different bars. One bar shows the numerical values and the second shows percentage values side by side.
| Years | Sales | Growth |
| 2013 | 7000 | 4.2 |
| 2014 | 7606 | 7.6 |
| 2015 | 7895 | 3.8 |
| 2016 | 8242 | 4.4 |
| 2017 | 8327 | 0.7 |
| 2018 | 8768 | 5.3 |
| 2019 | 9337 | 6.5 |
| 2020 | 9589 | 2.7 |
Once you have the data you can put it in Google Sheets and then look for this visualization to draw.
You can infer that 2014 was the year in which growth remained maximum and 2020 was the year with best sales so far.
If you are a car lover you will love this good comparison of famous car brands’ sales of Mercedes and BMW over the past years.
| Years | Mercedes | BMW |
| 2014 | 0.7 | 1.6 |
| 2015 | 0.9 | 1.8 |
| 2016 | 1.8 | 1.9 |
| 2017 | 1.92 | 1.97 |
| 2018 | 2.1 | 2 |
| 2019 | 2.29 | 2.1 |
| 2020 | 2.32 | 2.11 |
Once the data is ready in Google Sheets, you can go to shortlist your visualization for this chart.
With this visualization, everyone can see that Mercedes sales have grown slowly but surely. Look how beautifully Grouped Bar Charts have created bars next to each other. So, the reader easily understands what is going on.
Suppose you got the data of stores in different cities of USA. You want to track which store is giving most of the profit.
| Cities | Current Profit | Previous Profit |
| Los Angeles | 4723 | 4510 |
| Chicago | 9550 | 8545 |
| Houston | 3908 | 2399 |
| Phoenix | 7023 | 6533 |
| Philadelphia | 13631 | 12485 |
| San Antonio | 7125 | 6163 |
| San Diego | 11934 | 10485 |
| Dallas | 14444 | 13580 |
| San Jose | 7653 | 6470 |
| Austin | 13531 | 12267 |
As there are many options for visualization why not try the Pareto Chart this time? This will help you to find out which of the stores giving maximum results. Once your data is ready in Google Sheets you can go for this visualization.
You can see that Dallas, Philadelphia, Austin, San Diego, Chicago, San Jose, and San Antonio are the cities that are giving him 80% of profits and also they have improved sales as compared to their previous profits. Below the grey lines are those cities which have 20% profits. You need to pay more attention to this city store.
Suppose you have sales revenue data and you want to visualize the comparison of current and target revenue.
| Market | Current Sales Revenue | Target Sales Revenue |
| West | 250 | 300 |
You have to put all the data in Google Sheets to visualize it.
By looking at this chart, you can judge that the target sales revenue was $300M and the current sales revenue is $250M, which is very good.
To access Comparison Chart, you need to install ChartExpo, a cloud-hosted add-on. Remember, you won’t be installing anything on your device.
Suppose you own a restaurant and it is famous in the city. You have some benchmark to analyze your staff performance so that you can evaluate later how they are going play role in the reputation of the restaurant. For this purpose, you prepare the data.
| Years | Staff | Performance Score |
| 2018 | Reception | 48 |
| 2018 | Waiter | 86 |
| 2018 | Customer Experience | 62 |
| 2018 | Professionalism | 64 |
| 2018 | Valet parking | 56 |
| 2018 | Behavior | 48 |
| 2018 | Poor Service | 93 |
| 2018 | Cleaning | 60 |
| 2018 | Availability | 39 |
| 2018 | Booking | 51 |
| 2018 | Cook | 78 |
| 2018 | Management | 63 |
| 2018 | Time | 41 |
| 2019 | Reception | 79 |
| 2019 | Waiter | 75 |
| 2019 | Customer Experience | 92 |
| 2019 | Professionalism | 41 |
| 2019 | Valet parking | 40 |
| 2019 | Behavior | 84 |
| 2019 | Poor Service | 71 |
| 2019 | Cleaning | 69 |
| 2019 | Availability | 89 |
| 2019 | Booking | 65 |
| 2019 | Cook | 39 |
| 2019 | Management | 64 |
| 2019 | Time | 37 |
| 2020 | Reception | 40 |
| 2020 | Waiter | 60 |
| 2020 | Customer Experience | 75 |
| 2020 | Professionalism | 92 |
| 2020 | Valet parking | 91 |
| 2020 | Behavior | 58 |
| 2020 | Poor Service | 42 |
| 2020 | Cleaning | 79 |
| 2020 | Availability | 83 |
| 2020 | Booking | 90 |
| 2020 | Cook | 74 |
| 2020 | Management | 62 |
| 2020 | Time | 85 |
Based on the analysis, it can be judged that poor services were high in 2018 but in 2019 there came some improvement in this segment and again in 2021 this poor service was improved to satisfaction level as compared to other segments.
A comparison chart in Google Sheets allows you to visualize multiple data points side by side, making it easier to identify trends, differences, and patterns.
By displaying data in a clear, concise format, comparison charts help simplify complex information, making it accessible for analysis and decision-making.
Comparison charts provide an efficient way to compare different options, performance metrics, or variables, enabling better-informed decisions.
Google Sheets allows easy customization of comparison charts, from color schemes to chart types, ensuring the chart suits your specific needs and presentation style.
Since Google Sheets is cloud-based, comparison charts can be easily shared with others, allowing for real-time collaboration and feedback.
By highlighting differences or trends across categories, comparison charts help users uncover insights that drive further analysis or action.
Comparison charts save time by quickly providing a snapshot of key differences, eliminating the need for manual data comparison.
Creating a comparison chart in Google Sheets is an easy task with ChartExpo which can help you create this chart within a few clicks.
Yes, Google Sheets supports live data connections, enabling real-time updates in your charts.
The limit depends on the type of chart and the complexity of the data. Google Sheets allows multiple variables for most chart types.
Yes, you can export charts as image files or embed them in documents or presentations.
The importance of data visualization cannot be over-emphasized.
For business people, and marketers all over the world.
It reduces your stress levels, gives you more time, and gets you exponentially better results.
And for most of us, the data to be analyzed is truly just for comparison.
Between items, products, countries, companies, services, and so much more.
In Google Sheets, we can organize data and visualize it.
However, with the complex and huge data that we have to deal with each day, the solution is to use a visualization tool.
How to Make a Comparison Chart in Google Sheets? For many, ChartExpo for Google Sheets has proven to be excellent for visuals.
This piece has shown you the step-by-step way to draw awesome visuals for data using ChartExpo.
It has also shown you how to pick your visualization types and the things that matter in data visualization.
It’s everything you need to make data analysis a fun part of your life.
What can stop you now?
All you need to do is to ‘get cracking’!
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