Top 5 Examples of Data Graphs You Need to Try this 2023

You’ll agree when we say parsing through raw data is incredibly time-intensive and mentally exhausting.

More so, if your data is gigantic, it can easily overwhelm you.

This is why you need graphs and charts to distill signals from noise in your data.

Luckily, there’s a ton of freemium data visualization tools, such as Google Sheets and Excel you can leverage to get the most out of your data.

Besides, there’re third-party tools you can use to supercharge your Excel with Add-in and Google Sheets with Add-on. Yes, you read that right.

Why?

These free data visualization tools (Excel and Google Sheets) produce pretty basic charts that need multiple tweaking before becoming final products.

This blog will walk you through the intricacies of creating a compelling data story using graphs and charts. We’ll use different examples of data graphs, such as

1-Pareto

2-Double Bar Charts

3- CSAT Score Survey (NPS Detail) Chart

4-Ordered Square

5-Radar 

Keep reading if you intend to take your spreadsheet game to the All-Star level.

Top 5 Examples of Data Graphs You Need to Test to Supercharge Your Data Stories.

Before we delve right into the easy-to-follow examples to get you started with data visualization: let’s explore why charts are significant.

Why are Graphs and Charts Significant?

Until recent years, making sense of the raw data in huge databases was too daunting and time-intensive for us.

But, recent developments, such as artificial intelligence (AI), are increasingly helping us crunch gigantic data sets on an unprecedented scale. Remember, when leveraged fully, data helps businesses to personalize marketing communication.

The five examples of data graphs (we’ll mention later) are part of the visualization designs you need to get started with data stories.

As we said, it’s daunting to extract patterns and trends in raw data. You can only alleviate the situation above by leveraging charts and graphs fully to extract high-level insights.

Tables and spreadsheets play a crucial role in data collection and macro-view analysis. However, the aforementioned is always a scratch on the surface. If you want in-depth analysis, you’ve got to think beyond tables.

And this is where examples of data graphs (which we’ll cover in later sections) come in.

Essentially, graphs and charts are an advanced way of communicating data to the audience. Using tables and spreadsheets to communicate data stories to audiences, such as investors and shareholders, can be very costly, primarily if your business’ survival hinges on their buy-in.

So what’s the best tool to use to create graphs and charts that are incredibly easy to read and understand?

The Best Data Visualization Tool to Use

The tool we recommend to our readers is ChartExpo. Our recommendation is based on the following factors:

• Ease of use
• No coding required
• Affordability
• Quality of graphs and charts generated
• The size of the library of chart templates
• Impact on your browser or Excel spreadsheet application
• Liked by more than 15000 users

Well, ChartExpo comes jam-packed with features that all tick on our checklist above. Firstly, this data visualization tool comes with an ultra-friendly user interface (UI). Secondly, accessing this tool is FREE for 7-days. More so, it produces charts that are remarkably insightful, easy to read, and stunning.

ChartExpo’s library has over 50-plus charts to ensure your data story is compelling.

Note: ChartExpo is for anyone who needs to create data visualizations for various purposes. For example, you can use this intuitive tool to create charts for blogs, dashboards, reports, presentations, proposals, social media, and more.

Remember, ChartExpo has all the five examples of data graphs (which form the core of this blog).

The screenshot (below) is proof that ChartExpo is more loaded than the next best data visualization tool in the market. Its expansive library is subdivided into 6 major chart categories, namely:

• Sankey Charts
• Sentiment analysis Charts
• Comparative Analysis Charts
• Specialized Survey Charts
• General Analysis Charts
• PPC Charts

Let’s dive into the heart of the blog: the top 5 examples of data graphs you need to test with your data stories.

Note: we’ll start with 4 examples in Google ads, and finish with the final example in Excel, at the climax. So that you can full idea to use this library in both tools. Keep reading because you don’t want to miss this.

5 Examples of Data Graphs

• Pareto Chart

A Pareto Chart provides actionable insights needed for setting priorities.

Besides, it’s a form of a vertical Bar Chart that categorizes variables in your data in order (from the highest to the lowest) relative to a dimension, such as frequency, cost, or time.

This diagram is based on the (80/20) principle, stating that 20% of the causal factors result in 80% of the effect.

Let’s look at an example below to get you started with Pareto Charts in your data stories.

Example of Pareto Chart:

Imagine you own a fashion brand store. Your inventory is stocked with the following products:

• Polo shirts
• Hoodie
• Jackets
• Trousers
• Shorts
• Joggers
• Coats
• Jeans
• Suits and T-shirts

This is where a Pareto Chart comes in as one of the examples of data graphs. Let’s use the table below for our scenario.

Products	Items Returned
Polo Shirts	2
Hoodies	9
Jackets	20
Trousers	18
Shorts	4
Joggers	12
Coats	75
Jeans	68
Suits	11
T-Shirts	6

If you use ChartExpo to visualize the data set above, your resulting diagram should look like this (below). In the later sections, you’ll learn how to visualize your data using our hidden gem (ChartExpo).

Visualization Source: ChartExpo

Do you find the chart above easy to read? You can read more about Pareto Chart here.

• Double Bar Chart

Putting data side-by-side in a chart is an essential visual cue for our brains to derive comparison insights. And this is the core principle behind the Double Bar Chart.

This diagram comprises Stacked and Adjacent Bars to provide you with a seamless experience in extracting comparison insights across multiple categories.

A Double Bar Diagram is one of the charts you need to identify trends and proportions in your data. Why? Traditional, column-shaped graphs can easily miss such insights.

Let’s take a look at an example (below) to get you started with Double Bar Charts.

Example of Double Bar Chart:

Imagine you want to know to assess the performance of TWO key metrics, such as sales value and growth at the same time. Which chart would you go for?

Yes, you guessed right. You need a Double Bar Chart (one of the examples of data graphs) to get started with complex tasks (such as the above).

A Double Bar Visualization is suitable for our scenario because it will show both numerical and percentage values.

Let’s use the table below for our scenario.

Quartiles	Sales	Growth
Q1-19	7000	4.2
Q2-19	7606	7.6
Q3-19	7895	3.8
Q4-19	8242	4.4
Q1-20	8327	0.7
Q2-20	8768	5.3
Q3-20	9337	6.5
Q4-20	9589	2.7

If you use ChartExpo to visualize the dataset above, your resulting diagram should look like this (below).

Visualization Source: ChartExpo

From the chart above, you can easily match the sales revenue with the corresponding growth. For instance, when you earn $7,606, the company grows by a whopping 7.6%.

• CSAT Score Survey (NPS Detail) Chart

The NPS Diagram is one of the graphs and charts used to gauge customer loyalty, satisfaction, and enthusiasm towards a brand.

Its score is calculated by asking customers to rate various key variables that make up a brand.

For instance, on a scale of 0 to 10, how likely are you to recommend this product to a friend or colleague?

The overall NPS Scores can help your brand improve critical areas, such as service, customer support, delivery, which promote loyalty. Using an NPS Score Chart (one of the examples of data graphs), you can quickly develop growth strategies using your existing customer base.

By identifying the customers who love your brand offerings the most, you can quickly turn passive fans (friends and relatives) into active promoters.

An NPS Score Diagram is one of the examples of data graphs that seasoned professionals use to visualize their survey data.

Let’s look at an example (below) to get you started with NPS Score Charts.

Example of CSAT Score Survey Chart:

Imagine you run a start-up that deals with software as a service (SaaS) products. You want to know the level of loyalty in your existing customer base.

Let’s assume you’ve already gathered your customers’ sentiments and opinions via a feedback collection system. Let’s use the table below for our scenario.

Question	Rating	Count
How likely is it that you would recommend this software to a friend or colleague?	0	215
How likely is it that you would recommend this software to a friend or colleague?	1	129
How likely is it that you would recommend this software to a friend or colleague?	2	43
How likely is it that you would recommend this software to a friend or colleague?	3	86
How likely is it that you would recommend this software to a friend or colleague?	4	172
How likely is it that you would recommend this software to a friend or colleague?	5	258
How likely is it that you would recommend this software to a friend or colleague?	6	430
How likely is it that you would recommend this software to a friend or colleague?	7	302
How likely is it that you would recommend this software to a friend or colleague?	8	860
How likely is it that you would recommend this software to a friend or colleague?	9	745
How likely is it that you would recommend this software to a friend or colleague?	10	966

Your resulting diagram should look like this (below), if you use ChartExpo to visualize the data set.

Visualization Source: ChartExpo

The aggregate NPS Score is 9. The number of promoters (customers spreading the brand through word of mouth) is a whopping 41%. And this means the brand’s traction is incredibly remarkable.

So how is NPS Score calculated?

Respondents are grouped as follows:

• Promoters (score 9-10) are loyal enthusiasts who will keep buying from you and refer others as well, thus fueling growth.
• Neutral (score 7-8) are satisfied but unenthusiastic customers who are vulnerable to competitive offerings.
• Detractors (score 0-6) are the unhappy customers who can damage your brand and impede growth through negative word-of-mouth.

Subtracting of Detractors from Promoters yields the Net Promoter Score (NPS). And this score ranges from -100 (every customer is a Detractor) to +100 (every customer is a Promoter).

Check out the formula of calculating Net Promoter Score below:

NPS Score = % of Promoters — % of Detractors

An NPS Score Chart is one of the examples of data graphs that are incredibly easy to read and interpret.

So how can you install ChartExpo (in both Excel and Google Sheets) and get started with data storytelling using assorted graphs and charts?

• Ordered Square Chart

The Ordered Square Diagram is one of the graphs and charts that are amazingly easy to interpret, even for non-technical audiences.

Example of Ordered Square Chart:

Imagine you’ve been tasked to visualize the US government budget for the 2020 financial year. You want a chart that’s stunning and insightful at the same time.

This is where an Ordered Square Chart comes in.

Let’s use the tabular data below to get started with this chart.

Departments	Spending
Revenue and Customs	49
Cabinet Office	13
Justice	12
Digital, Culture, Media, and Sport	15
Work and Pensions	180
Health and Social Care	163
Defense	57
Business, Energy and Industrial Strategy	89
Local Government	24
Transport	16
Education	98

You must be thinking how did you we created the previous charts? Steps to follow is almost same for every chart. Let’s see the steps in detail for this chart and then you will find how you can install this add-on in Google Sheets. For now, just assume you have this add-on already installed.

• Type the chart you want to use to visualize your data. In our scenario, we’ll type the Ordered Squared Chart.

• The second option is clicking the General Analysis Charts button (one of the six major categories) and then the Ordered Squares Chart option, as shown.

• Select Sheet Name.
• Click the Add new metric option and fill in numerical values (in our scenario, spendings is our metric).
• Click the Add new dimension button and fill dimension values (which, in our case, are Departments).
• Click the Create Chart
• The final chart should be like this (below).

Visualization Source: ChartExpo

How to Add a Title in your Ordered Squared Chart?

Charts are incomplete without titles.

Yes, you read that right.

You need a title to give your graphs and charts solid context. ChartExpo gives you unlimited freedom to add extra details, such as title and legend that help your target audience understand data stories better.

• To add a title to the chart, click the Edit button, as shown.

• Click the pencil-like marker to add a title on the Ordered Square Chart (one of the top 5 examples of data graphs).

• A Chart Header Top Properties drop-down will pop up. Click the Text button to create a title. You can also explore other properties, such as font styles.

• To change the font of the title, click the Font Styles button. You’ll come across multiple options, such as bold, font size, and italics, among others.

• To assign prefixes and postfixes, such as currency signs, click the pen-like markers, as shown.

• After a drop-down called Box & Label Properties pops out, click the Label button and fill in the prefixes and postfixes.
• Finish the process by clicking the Apply All button.

• Your final chart should be like this (below).

Visualization Source: ChartExpo

Insights

• The biggest consumer of the budget is work and pensions, followed by health and social care.
• Justice and the cabinet office are the smallest consumers of the budget.

How to Install ChartExpo Add-on in Google Sheets?

There are two methods to installing the ChartExpo add-on for Google Sheets.

• The first method is to visit the Google Workspace Marketplace and enter “ChartExpo” into the search bar.

• Click on the ChartExpo tool > blue Install button on the resulting page.

• This will begin the installation process. Log in to your Google account and give the plugin permissions.
• ChartExpo will install and be ready for use the next time you open your Google Sheets.

The second method: Download ChartExpo directly from the Google Sheets App.

• To get started, click on Add-ons in the top toolbar.

• Press the option to Get Add-ons, as shown.

• Search for ChartExpo in the bar. Click the ChartExpo tool when it appears in the results.

• Press the blue Install button and accept permissions in your Google account.
• Open the worksheet and click on the Add-ons menu.
• You’ll see the ChartExpo – Best Data Visualization Tooloption in the dropdown menu.
• Click the Create New Chart button to access all the charts in ChartExpo.

• Click the best type of data visualization chart you want from the 6-major categories of graphs and charts.

Like we said earlier, the two remaining examples of data graphs will be covered using ChartExpo Excel add-in. Let’s dive in.

How to Install ChartExpo Add-in in Excel?

To get started with ChartExpo for Excel add-in, follow the simple and easy steps below.

• Open your Excel application.
• Open the worksheet and click the INSERT menu.
• You’ll see the My Apps option.
• Click My Apps-ins.

• Search for ChartExpo Add-in on my Apps Store.
• Click the Insert button.

• The add-in will be added to the Excel application, as shown.
• Log in with your Microsoft account or create a new account by clicking the Create One.
• Enter your Microsoft account and start using the ChartExpo add-in. You’re only required to log in for the first time.

• Now you can start using ChartExpo to access the five examples of data graphs (templates).
• As shown, ChartExpo is loaded with 50-plus chart templates organized into 6 main categories.

Getting Started with ChartExpo Add-In for Excel

Radar Chart

A Radar Chart is one of the examples of data graphs that are incredibly easy to interpret. You can use this chart to create data stories that are compelling to your target audience (or readers).

To get you going with the Radar Chart, we’ll use an easy-to-follow example (below).

Example of Radar Chart:

Let’s use the tabular data (below) to get you started with this chart.

Teacher	Quality	Score
Justin	Knowledge	2.7
Justin	Punctual	4.6
Justin	Helpful	3.7
Justin	Effectiveness	4.9
Justin	Delivery	3.9
Tin	Knowledge	3.7
Tin	Punctual	3.2
Tin	Helpful	4.9
Tin	Effectiveness	4.1
Tin	Delivery	2.8
Grace	Knowledge	4.7
Grace	Punctual	4.5
Grace	Helpful	3.8
Grace	Effectiveness	2.5
Grace	Delivery	3.7

• To get started with a Radar Chart, paste the data into your Excel.

• Open ChartExpo by clicking the Insert > My Apps.
• Once a new window pops up, click ChartExpo > Insert.

• To access a Radar Chart, click the Pay-per-click (PPC) Charts button, as shown.

• Select the sheet holding your data and click the Create Chart From Select
• If you follow the instructions (we highlighted earlier), your final product should look like the one below.

Insights

• Teacher Justin is more effective than the other two teachers.
• Tin is more
• Grace is more knowledgeable than the rest.
• Both Grace and Tin are punctual.

FAQs:

What are data graphs?

A data chart is a diagram you can use to distill insights from raw data. There are multiple charts and graphs you can use to get the most out of your data.

Data graphs are increasingly penetrating almost all the sectors of the economy, including arts and entertainment.

What are the 3 basic types of graphs used to show data?

There are multiple examples of data graphs you can use to visualize your data for insights basic three are used as line, bar and pie graph.

How are bar graphs useful in real life?

Use Bar Graphs to compare critical metrics in your business data or track performance changes over time.

If your goal is to measure the change over time, Bar Graphs are the go-to diagrams. These charts are among the examples of data graphs that are remarkably easy to interpret.

Wrap Up

Like we said earlier, parsing through raw data in spreadsheets and tables is time-intensive and overwhelming in some instances.

It doesn’t have to be like this.

Do you want to get the most out of your data?

Look no further. Explore the top 5 examples of data graphs we’ve rounded up for you. (Please refer back to the blog).

We recommend our readers to use ChartExpo because it comes pre-loaded with over 50 charts and graphs that are easy to read and interpret.

With ChartExpo, you have unlimited access to stunning and insightful chart templates you need to get started with data stories.

Sign up today to get your data stories going with incredibly easy-to-read and interpret charts.