Hello everyone! Welcome to the exciting new series of Google Data Studio. Get ready to dive deep into the world of Google Data Studio as we uncover its powerful features. Today we will embark on an adventure and learn how to create a geo chart in Google Data Studio.
With Google Data Studio, unleash the potential of data visualization! Geo charts are used to show geographic data and are constructed on a world map. They are handy when you want to display statistics based on a specific region, nation, continent, city, or even subregion. When you mouse over a location, it immediately displays a value. You can either use a map of the entire world or one that simply shows, say, Europe. These geo charts must have appeared on a number of websites. Data that is location-based is displayed using Geo Charts, a form of a visual chart, in Google Data Studio. GEO Charts are typically used to display traffic, sources, sales, conversion rates, leads, revenue, ad spend, and other metrics based on the location of the end user. It can provide answers to questions like where my website receives the most visitors. What city has the greatest PPC rate, for example? and so on; everything is dependent on location.
Benefits of using Geo Chart in Google Data Studio
Limited but Essential Dimension: Geo charts concentrate on location-based dimensions including country, continent, city, region, and state. They have a limited number of essential dimensions. These factors are essential for mapping and serve as the cornerstone for accurately portraying data on a spatial scale.
Flexible Metrics: Unlike dimensions, which can only include location-based properties, flexible metrics in Geo charts can include a variety of data points related to the aforementioned dimensions. This adaptability enables you to display a variety of metrics, including percentages and other numerical values, giving you a thorough understanding of the data in particular regions.
Enhanced Targeting Insight: Geo charts are useful tools for digital marketing initiatives, according to enhanced targeting insights. They make it easier to assess the impact of your campaigns and adjust your strategy by allowing you to quickly display and analyze the overall targeting results on a map.
Scalable Usage: Geo charts can be used on a big scale by both small and large organizations. While big IT businesses can use global data by using broader dimensions like continents and sub-continents, small business owners and startups can concentrate on certain towns or states. Geo charts can be scaled to fit a variety of company needs and sizes because of their scalability.
These are just a few strong reasons for learning how to create a geo chart in Google Data Studio. You may unlock the ability to communicate insights with clarity and impact by mastering this powerful visualization method.
How to Create a Geo Chart in Google Data Studio
There are two primary segments to this tutorial. The creation of the GEO chart will be covered in the first section, and designing and customizations will be covered in the second. We will therefore learn how to create a geo chart in Google Data Studio from this part. In relation to the data source? Let’s get started utilizing the sample data from Google Analytics, which provides useful dimensions and metrics for use with GEO charts.
Create a Geo Chart in Google Data Studio
We will learn how to create a geo chart in Google Data Studio in this first section. I’m using example data from Google Analytics, but you are welcome to use it too. Now that the example data is connected, let’s use Google Data Studio to begin producing a Geo chart.
Step 1>
Open the blank starting template in Google Data Studio.
Step 2>
Select the Geo chart from the list in the “Add a chart” dropdown.
Step 3>
Draw the graph in the following way on your canvas.
Step 4>
The actual task at hand is to work with dimensions. To do this, open the chart setup tab and add a dimension as needed.
Step 5>
With drill down, you can increase the number of dimensions.
Step 6>
Add your necessary metrics from the list now.
Step 7>
To add additional metrics to a single chart, utilize the optional metrics toggle button.
Step 8>
The zoom area is visible below. Here, you can zoom to a specified area so that the chart only displays that area.
Step 9>
For all of the data, you may choose between a default date range and a custom date range.
Using Cross Filtering, Create a Geo Chart in Google Data Studio
We’ll learn how to make a Geo chart in Google Data Studio in this section, as well as how to cross-filter data using a table chart. Cross-filtering refers to the linking of two charts so that when you alter the visualization point for one chart, it also appears in the other. This is how we make it simple for users to see what they want to see very specifically, and the numbers will be shown in a table for better understanding and clarity. For instance, if I click on the Geo chart Asia region here, then the table chart that I have created will show me the data only of the Asian continent. In addition to using tables, we can also use various types of charts, such as pie charts, line charts, column charts, bar charts, etc.
Step 1>
Make a table chart.
Step 2>
Scroll down to the bottom of the Set-up tab for the Table chart and look for the cross-filtering toggle button.
Turn this button on.
Step 3>
Apply the same method to the Geo chart as well.
Step 4>
Now try clicking on a certain region, like Europe, and you will observe that the table chart data will be changed accordingly.
Create a Geo Chart in Google Data Studio – Customize/Personalize a Geo
We’ll cover how to customize a Geo chart in Google Data Studio in the following section. Since we now know how to make a Geo map and have seen how cross-filtering is a beneficial feature. It’s now time to enhance a Geo chart in Google Data Studio by using the built-in modification tools located in the Style tab in the sidebar of the chart. Let’s experiment with styling a Geo chart.
Step 1>
We find some color boxes in the style tab’s very first portion.
The Max value’s color can be changed.
After that, we can change the Mid value’s hue.
Then, we can change the Mid value’s hue.
Additionally, we can choose a color for dateless, or empty.
Step 2>
A checkbox can be used to show or hide the legend.
Step 3>
Here, we can change the Geo Chart’s Font family.
Step 4>
The overall Geo chart can have a backdrop color added to it.
Step 5>
For the overall chart, we can change the border-radius.
Step 6>
Here, we can adjust and manage the overall chart’s opacity level.
Step 7>
Following that, there is a color selection where we can choose a border color.
Step 8>
After that, we can choose the border style and weight.
Step 9>
The “Add border shadow” choice allows us to add a parallel shadow to our entire outside border.
Step 10>
Then, by selecting a value from the dropdown, we can set “When to show the header“.
- Do not show
- Always Show
- Show on Hover
Step 11>
The font color for the header content can be chosen here.
Step 12>
The final option is the “Reset to report theme” button, which can be used to return all of the chart’s basic customization options.
Therefore, this is a simple instruction for customizing Geo charts in Google Data Studio. I hope you have understood the main ideas and have learned how to use cross-filtering with geo charts, create a geo chart in Google Data Studio, and personalize a geo chart.
Important Remarks
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There are a limited number of dimensions that may be used in a geo chart; you cannot include a name, age, quantity, or even a date in the dimension section.
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contrary to metrics. With the Geo charts, metrics can be used in an unlimited number of ways, including impressions, clicks, PPC, revenue, ROI, bounce rate, new users, sessions, and a wide range of other metrics.
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In Google Data Studio, cross-filtering is a feature that can be used with any chart; it’s not just for Geo charts or tabular charts.
Conclusion
You gained knowledge of how to make a Geo chart in Google Data Studio today. I made an effort to divide this subject into three pieces, of which two are important and one can be utilized as a resource in addition. Thus, we first learned how to create a Geo chart in Google Data Studio, then we saw how to use cross filtering with your Geo charts and any other chart and I revealed how useful this function is, and finally we learned how to customize a Geo chart in Google Data Studio. I hope you have learned everything pretty well, and I will now close this article. For more amazing tutorials, keep learning with OfficeChaser.
