The quickest way to gauge the growth of your business is using visualization charts to extract trend insights.
Insights into the general trend of key metrics can help you to know how a business is performing at a glance.
This is where the Scatter Plot Generator comes in.
A Scatter Plot is one of the charts data visualization experts use to determine the general trend of variables in a data set. You need this chart to determine the actual patterns of your growth indicators (metrics).
Google Sheets produces pretty basic and less intuitive Scatter Plot Charts, which require extra time for customizing. However, this does not imply you should do away with this freemium data visualization tool.
You can actually supercharge it with third-party apps (add-ons) to make it a more reliable Scatter Plot generator.
In this blog, you’ll discover how you can transform your Google Sheets into a juggernaut Scatter Plot maker that produces highly intuitive charts for your data story.
You don’t want to miss the rest of the blog.
Before we unveil to you the best Scatter Plot generator, let’s define Scatter visualization.
Definition: A Scatter Plot is an easy-to-read chart you can use to display relationships between different variables.
This chart communicates insights using dots or markers between its x and y-axes. Essentially, each of the chart’s dots appears “scattered,” hence its name. You can Scatter Plot to compare two key variables in your data to determine the relationship.
For instance, you can use this chart to track the relationship between profits and employees’ training in your business.
Scatter Plots (also known as Scatter Diagrams or x-y Graphs) can be used in many business areas.
Check out the common uses of the chart below:
Keep reading because we’ll reveal the best Scatter Plot maker you can use to visualize your data quickly and easily in the next section.
Google Sheets is one of the go-to data visualization tools for smaller businesses. However, this freemium spreadsheet tool comes with very basic Scatter Charts.
Besides, the charts it produces are not visually appealing.
You need to perform a ton of customizations to get a Scatter Plot that’s in harmony with your data story.
Well, you don’t have to do away with the spreadsheet app. Yes, you read that right. You can turn Google Sheets into a reliable data visualization tool loaded with advanced charts by installing third-party apps, such as ChartExpo.
Why ChartExpo?
ChartExpo is the best Scatter Plot maker that comes as an add-on you can easily install in your Google Sheets or Microsoft Excel without watching hours of YouTube tutorials or reading a PDF manual.
With 50+ advanced visualizations, ChartExpo turns your complex, raw data into compelling, easy to digest, visual renderings that tell the story of your data.
With just a few clicks, this Scatter Plot generator produces simple and clear charts. Yes, this tool generates charts that are amazingly easy to interpret, even for non-technical audiences.
Do you want to know the best part?
The best part is where you get to see this Scatter Plot generator in action. You don’t want to miss it.
Here are some scatter plot examples to explore
Imagine you’re running a campaign on YouTube. And, you want to know the performance of your video assets with regard to the following metrics (views, likes, and shares).
Let’s assume the table below represents the data you collected.
We’ll visualize the tabular data below with a Scatter plot generator -ChartExpo.
Playlists | Videos | Views | Likes | Share |
YouTube | Guitar | 671 | 251 | 248 |
YouTube | Flute | 578 | 357 | 324 |
YouTube | Violin | 806 | 364 | 149 |
YouTube | Harmonica | 321 | 278 | 393 |
YouTube | Mandolin | 467 | 319 | 229 |
Vimeo | Guitar | 891 | 508 | 266 |
Vimeo | Flute | 805 | 318 | 366 |
Vimeo | Violin | 643 | 505 | 256 |
Vimeo | Harmonica | 793 | 596 | 229 |
Vimeo | Mandolin | 758 | 644 | 474 |
Daily motion | Guitar | 684 | 668 | 251 |
Daily motion | Flute | 576 | 209 | 439 |
Daily motion | Violin | 697 | 451 | 136 |
Daily motion | Harmonica | 819 | 449 | 142 |
Daily motion | Mandolin | 935 | 248 | 310 |
If you’ve not yet downloaded ChartExpo, use this link to download and install ChartExpo Add-on for Google Sheets.
We also have a complete guide on How to Make a Scatter Plot in Excel for users who want to generate Scatter Plot in Excel.
However, if you’ve installed it, follow the easy steps below to visualize data with the Scatter Plot maker -ChartExpo.
Suppose you work in an international organization. Your boss has tasked you to prove there’s a relationship between life expectancy, GDP per capita, and the population of countries.
Let’s define the variables we’ll use in this example.
Let’s assume the data below is what you’ll use for the task (above). We’ll use the Scatter Plot generator- ChartExpo to visualize the data below.
Regions | Countries | GDP per capita | Life expectancy | Population |
Africa | Somalia | 629 | 58 | 15200000 |
Africa | The central African Republic | 689 | 51.6 | 4740000 |
Africa | Burundi | 691 | 61.1 | 11200000 |
Africa | Congo, Dem. Rep. | 751 | 62.4 | 84000000 |
Africa | Liberia | 801 | 65.4 | 4850000 |
Africa | Niger | 949 | 62.5 | 22300000 |
Africa | Malawi | 1130 | 61 | 19200000 |
Africa | Mozambique | 1200 | 61.1 | 30500000 |
Africa | Eritrea | 1250 | 64.6 | 5190000 |
Africa | Guinea | 1280 | 61.9 | 13100000 |
Asia | North Korea | 1390 | 71.1 | 25600000 |
Africa | Comoros | 1440 | 68 | 832000 |
Africa | Madagascar | 1460 | 63.4 | 26300000 |
Africa | Togo | 1480 | 63.1 | 7990000 |
Africa | Sierra Leone | 1490 | 60 | 7720000 |
Australia | Timor-Leste | 1490 | 73.3 | 1320000 |
Africa | Guinea-Bissau | 1550 | 59.7 | 1910000 |
Africa | The Gambia | 1570 | 67.8 | 2160000 |
Africa | Burkina Faso | 1710 | 61.6 | 19800000 |
North America | Haiti | 1710 | 64.5 | 11100000 |
Africa | Ethiopia | 1800 | 66.4 | 108000000 |
Africa | South Sudan | 1820 | 60.7 | 12900000 |
Africa | Uganda | 1820 | 62.9 | 44300000 |
Africa | Chad | 1860 | 60.5 | 15400000 |
Asia | Afghanistan | 1870 | 58.7 | 36400000 |
Australia | Kiribati | 1890 | 62.2 | 118000 |
Africa | Rwanda | 1930 | 68.3 | 12500000 |
Africa | Zimbabwe | 1950 | 60.2 | 16900000 |
Africa | Mali | 2020 | 62.9 | 19100000 |
To get started with the Scatter Plot maker (ChartExpo) for Google Sheets, follow the easy steps below:
Imagine you run a car showroom. You want to know whether there’s a relationship between the manufacturer’s suggested retail price (MSRP) and the horsepower of the car brands in your inventory.
Let’s use the table below to represent our scenario. We’ll use a Scatter Plot generator to extract insights from the data below.
Companies | Cars | Horse Power | MSRP | Unit Sold |
Ford | Fiesta | 130 | 14000 | 45831 |
Ford | Focus | 170 | 16000 | 151549 |
Ford | Fusion | 190 | 23000 | 181668 |
Ford | C-Max | 140 | 25000 | 23040 |
Ford | Taurus | 280 | 26500 | 49886 |
Ford | Mustang | 310 | 23000 | 48879 |
Toyota | Avalon | 301 | 27275 | 33580 |
Toyota | Camry | 206 | 27970 | 256764 |
Toyota | Prius | 121 | 24525 | 43525 |
Nissan | Altima | 188 | 34100 | 75507 |
Honda | Accord | 192 | 24970 | 157988 |
Chevrolet | Malibu | 163 | 22270 | 32155 |
To get started with ChartExpo (Scatter Plot generator): copy the table above into Google Sheets and follow the instructions below.
In our example, we have 3 metrics, namely units sold, MSRP, and horse power. The dimensional variables to fill in is companies and cars.
Note how easy it is to visualize data with a Scatter Plot generator -ChartExpo.
The two most common problems associated with Scatter Plots are:
Over-plotting occurs when you have a massive data set to visualize, which may result in clutter. Correlation does not mean that the changes observed in one variable are responsible for the differences observed in another variable.
A strong positive or negative correlation in your data does not necessarily mean the independent variable is the reason for your dependent variable’s behavior.
Visualizing your data using Google Sheets is not as straightforward as it sounds. The freemium tool comes with Scatter Plot Charts that are pretty basic. Don’t ditch your tool for other pricey data visualization applications.
Instead, install third-party add-ons, such as Scatter Plot generator-ChartExpo, to access easy-to-interpret and intuitive diagrams.
Scatter Plots can help you to visually illustrate relationships between key economic phenomena, such as employment and output, inflation and retail sales, and taxes and economic growth.
You can also use this chart to determine the general trend of key business metrics, such as profits and sales revenue.
A Scatter Plot shows the relationship between two quantitative variables in a data set. The dependent variables appear on the horizontal axis, while independent variables appear on the chart’s vertical axis. A Scatter Plot displays the relationship of key data points, which can be positive or negative.
Uncovering trends and relationships of key metrics in your raw data is one of the crucial tasks in your business or workplace.
And what’s the best chart for the job other than a Scatter Plot?
Well, a Scatter Chart is one of the visualization designs experts use to determine causal relationships between data points. Google Sheets is not the go-to Scatter Plot generator if your goal is to create charts that are simple to interpret and complement your data stories seamlessly.
Why?
This spreadsheet tool produces pretty basic Scatter Plot charts. And this means you have to spend more time customizing your charts to pique the interest of your target audience.
So what Scatter Plot maker do you recommend?
We recommend you install third-party add-on in Google Sheets, such as ChartExpo, to access advanced Scatter Charts. This easy-to-use data visualization tool comes as an add-on you can easily download and install in your spreadsheet app.
Sign up for a 7-day free trial today to access Scatter Plots that are amazingly easy to interpret and visually appealing to your target audience.
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