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Organizing insights hierarchically is one of the strategies you can use to make your data stories persuasive.
Our brains are engineered to recognize order and rank in visual content instantly. So you need hierarchical data visualizations to create compelling narratives for your audiences (and readers).
Why?
There are different types of data visualization out of which the hierarchal types of charts display insights into data in a particular order. The order can either be bottom-up or the other way round.
The top 5 expert-recommended hierarchical data visualizations include:
You won’t find a huge chunk of the charts (above) in Google Sheets. So if you’re an ardent user of the spreadsheet application, you’ve got to explore other options.
It turns out you don’t have to do away with Google Sheets. You can download and install an add-on to access all the hierarchy charts, plus more.
In this blog, you’ll learn the following:
Before we delve right into the heart of the blog, let’s define the chart.
Hierarchy comes from the Greek word ‘hierarkhia’, which translates as the “rule of a high priest.”
In today’s world, hierarchy is a system of values (titles, objects, positions, etc.) in which each value is placed above, below, or equal in relation to others.
In data analytics, hierarchy charts are used to display insights into data in a certain order. The hierarchy can be top-down or bottom-up depending on your preference. The charts are incredibly significant in data analysis because they uncover hidden patterns and relationships in your data.
A classic example of hierarchical data visualization is the file and folder system found on your computer. Usually, there’re parent folders with sub-folders, which are somehow connected, depending on your criteria.
There’re many charts that display insights in ranking order. But, we’ve narrowed down the list to 5 key ones based on the following criteria:
Our list is made of the following hierarchical data visualization designs:
The common denominators with these charts (above) are their simplicity and ease of interpretation. So, they should be your go-to charts, especially when curating data stories because they are amazingly easy to read and interpret graphs.
You can use these charts to transform raw and bulky data sets into insights. They achieve the aforementioned task by providing in-depth information into patterns and relations between key data points. Also, you can easily infer the best and worst-performing metrics by simply checking at the top and bottom of the hierarchy.
Hierarchical data visualization graphs create tree-like impressions in our brain. Each data point is depicted by a node in the tree. Furthermore, each node may have a collection of sub-nodes (also known as child nodes).
The relationship between the parent and the child nodes forms a tree network, which provides hierarchical insights. Check out the attributes of hierarchy charts.
Properties of Hierarchical Data Visualization Designs
Visualization tools, such as Google Sheets, are making it easier than ever to visualize hierarchical data in a way that’s understandable by the intended audiences (and readers).
Knowing your audience can help you to determine the most applicable chart to integrate into your data story.
You also need to pay attention to other overt issues, such as personal interests. The best tool to use to visualize your data with hierarchical data visualization should have the following attributes:
Keep reading because we’ll later unveil a tool that provides you unlimited flexibility, especially when curating data stories.
We acknowledge that Google Sheets is one of the most used data visualization tools by most professionals and businesses. This spreadsheet app has been there for years, plus it’s familiar to many.
But if your goal is to create insightful and ready-to-use hierarchical data visualization charts, you’ve got to think beyond Google Sheets. Why?
The spreadsheet app lacks hierarchy charts. Yes, you read that right.
To access insightful and ready-made hierarchical graphs (Sunburst, Cross Tab, Partition, and Stacked Bar Charts) in Google Sheets, you have to install third-party apps (add-ons).
There are thousands of add-ons purposely for data visualization you can find in Google Workspace Marketplace. To save you time, we’ve tested hundreds of add-ons. ChartExpo ticks all the boxes with respect to the following:
If your goal is to display hierarchical insights into your
data with ready-made and visually appealing charts and you want best no code tools then your go-to add-on should be ChartExpo.
In the coming section, you’ll learn how you can install the ChartExpo add-on in your Google Sheets to access ready-made hierarchy charts.
ChartExpo is a trusted tool that thousands of professionals across the world use to create insightful and ready-made advanced hierarchical charts.
Besides, it comes as an add-on you can easily install in your Google Sheets. The tool has an easy-to-navigate interface. You don’t need skills in programming or coding to get started with hierarchical data visualization designs in ChartExpo.
ChartExpo has all the 5 hierarchy charts, namely:
The data visualization add-on is cloud-hosted, which means your personal computer won’t slow down.
So how can you get started with ChartExpo?
The Sunburst Chart is one of the hierarchy charts you can use in your data stories because it’s incredibly easy to interpret.
The hierarchical data visualization design displays insights in a ranking order using a series of concentric rings. Each ring in the chart corresponds to a level in the hierarchy.
Let’s visualize the tabular data using Sunburst Charts in ChartExpo.
| Category | Months | Country | Sales Orders |
| Sales | June | USA | 75 |
| Sales | June | United Kingdom | 67 |
| Sales | June | Germany | 90 |
| Sales | July | USA | 75 |
| Sales | July | United Kingdom | 67 |
| Sales | July | Germany | 90 |
| Sales | April | USA | 67 |
| Sales | April | United Kingdom | 90 |
| Sales | April | Germany | 75 |
| Sales | May | USA | 67 |
| Sales | May | United Kingdom | 90 |
| Sales | May | Germany | 75 |
Getting started with hierarchical data visualization graphs does not have to be complex and stressful.
The Crosstab Graph is one of the hierarchy charts you can use in your data stories because it’s incredibly easy to interpret.
Let’s visualize the tabular data using Crosstab Charts in the ChartExpo add-on. Let’s get started.
| Social Media | Browser | Traffic |
| Chrome | 41 | |
| Safari | 37 | |
| Firefox | 26 | |
| Edge | 15 | |
| Android WebView | 30 | |
| Slideshare | Chrome | 23 |
| Slideshare | Firefox | 14 |
| Slideshare | Edge | 7 |
| Slideshare | Android WebView | 17 |
| Chrome | 57 | |
| Firefox | 14 | |
| Safari | 48 | |
| Android WebView | 45 | |
| Chrome | 52 | |
| Android WebView | 14 | |
| Edge | 10 | |
| Firefox | 13 | |
| Safari | 31 | |
| Quora | Safari | 20 |
| Quora | Edge | 14 |
| Quora | Android WebView | 20 |
| Quora | Chrome | 46 |
| Quora | Firefox | 11 |
| Safari | 26 | |
| Android WebView | 26 | |
| Firefox | 16 | |
| Chrome | 27 | |
| Chrome | 22 | |
| Android WebView | 16 | |
| Safari | 21 | |
| Firefox | 16 | |
| Edge | 3 | |
| Firefox | 25 | |
| Safari | 35 | |
| Chrome | 69 | |
| Edge | 13 | |
| Android WebView | 38 |
Let’s use the Partition (one of the hierarchy charts) to visualize the data below.
| Analysis | Time | Dishes | Sales |
| Sales | Lunch | Salad | 100 |
| Sales | Lunch | Sandwich | 80 |
| Sales | Lunch | Soup | 50 |
| Sales | Lunch | Pie | 35 |
| Sales | Lunch | Iced Tea | 20 |
| Sales | Breakfast | Waffles | 80 |
| Sales | Breakfast | Eggs | 60 |
| Sales | Breakfast | Pancakes | 45 |
| Sales | Breakfast | Tea | 30 |
| Sales | Breakfast | Coffee | 25 |
In this example, we’ll use the Tree Map (one of the hierarchical data visualization designs) to visualize the data set below.
| Analysis | Categories | Apparels | Sales |
| Daily Apparel Sales ($) | Male | T-shirt | 100 |
| Daily Apparel Sales ($) | Male | Jeans | 80 |
| Daily Apparel Sales ($) | Male | Hoodies | 50 |
| Daily Apparel Sales ($) | Male | Flip-flops | 35 |
| Daily Apparel Sales ($) | Male | Long coat | 20 |
| Daily Apparel Sales ($) | Female | Shorts | 80 |
| Daily Apparel Sales ($) | Female | Jeans | 60 |
| Daily Apparel Sales ($) | Female | Skirts | 45 |
| Daily Apparel Sales ($) | Female | Night wears | 30 |
| Daily Apparel Sales ($) | Female | T-shirt | 25 |
In this example, we’ll use the Stacked Bar Chart. You might have used this chart to show the normal data but the visualization supported by ChartExpo can give you facility to use this chart to show data to some hierarchical level. For example you have a following data in which different teacher with different subjects teaches to different classes. So you have data of enrolled students and you want to visualize it.
| Teacher | Class | Subjects | 2019 | 2020 | 2021 |
| Abe | Grade-7 | Mathematics | 20 | 20 | 50 |
| Abe | Grade-8 | Mathematics | 15 | 40 | 20 |
| Abe | Grade-9 | Mathematics | 25 | 20 | 20 |
| Bif | Grade-7 | Computer | 40 | 10 | 10 |
| Bif | Grade-8 | Computer | 20 | 20 | 15 |
| Bif | Grade-9 | Computer | 10 | 30 | 25 |
| Ann | Grade-7 | Arts | 20 | 20 | 15 |
| Ann | Grade-8 | Arts | 30 | 10 | 10 |
| Ann | Grade-9 | Arts | 20 | 20 | 20 |
You will find different types of charts and graphs in ChartExpo. The same data can also be used by Stacked Column Chart provided in this tool. Below image is showing the same data but in vertical/column form. It is up to you, which one you want to use according to your need.
Hierarchy data visualization charts are used to display insights in ranking order. The hierarchy can be top-down or bottom-up depending on your preference.
The chart types are incredibly significant in data analysis because they uncover hidden patterns and relationships in your data.
The go-to data visualization tool for many businesses is Google Sheets because it’s easy to use and familiar to many of us.
However, Google Sheets lacks a significant chunk of hierarchy charts.
Supercharge your Google Sheets with add-ons, such as ChartExpo to access ready-made hierarchical data visualization designs.
Organizing data in a hierarchical manner is one of the easiest ways of extracting reliable insights.
The tested and proven charts for displaying insights in a ranking order include the following:
We recommend the hierarchical data visualization graphs (above) because they’re incredibly easy to interpret, even for non-technical audiences.
To interpret the hierarchy charts, you just have to locate the parent and children nodes and note their values.
Yes, it’s that easy.
Google Sheets should not be your go-to hierarchical graph generator if your goal is to access ready-made and easy-to-read hierarchical charts.
Why?
The spreadsheet tool lacks a sizeable chunk of hierarchical data visualization designs (we mentioned earlier). But we’re not recommending you to do away with the freemium spreadsheet application.
We recommend you install third-party add-ons, such as ChartExpo in Google Sheets, to access ready-to-use, insightful, and visually appealing hierarchy charts.
ChartExpo is an add-on you can easily download and install in your Google Sheets. Besides, it’s loaded with all the 5 hierarchical visualization types we’ve just covered, plus 50 more advanced graphs.
It gets better.
You don’t need programming or coding skills to visualize your data using this tool. Furthermore, you can easily export your charts in JPEG and PNG formats.
Sign up for a 7-day free trial today to access a complete list of ready-made, insightful, and visually appealing hierarchical charts.
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