The Best Scatter Plot Generator to Use this 2021

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 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.

The Best Scatter Plot Generator You Need to Create Compelling Data Stories.

Before we unveil to you the best Scatter Plot generator, let’s define Scatter visualization.

What is a Scatter Plot?

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:

• You can use a Scatter Plot to investigate the relationship between key metrics (you’re actively tracking).
• You can use this chart in the quality control process as a corrective action approach, especially when investigating the causal factors of poor performance.
• The dots in a scatter plot not only report the values of individual data points, but also patterns when the data are taken as a whole.

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.

Scatter Plot Generator

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 a Scatter Plot maker that comes as an add-on you can easily install in your Google Sheets 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 (ChartExpo) in action. You don’t want to miss it.

Example #1

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.

However, if you’ve installed it, follow the easy steps below to visualize data with the Scatter Plot maker -ChartExpo.

• Open the worksheet and click the Extensions menu button.
• Once the ChartExpo-Best Data Visualization Tool drop-down menu shows, click the Open button.

• Click the Create New Chart button.

• Click the search box and type “Scatter Plot”. You’ll be taken straight to the Scatter Chart’s location in the tool, as shown below.

• Fill in your metrics and dimensions, as shown below.
• In our example, we have three metrics, namely views, likes, and shares. The dimensional variable to fill in is Playlists and Videos
• Complete the task by clicking the Create Chart button.

• Check out below the final chart

Insights

• Flute video got most of the views on Vimeo, shares on Daily motion & likes on YouTube.
• Guitar video leads in likes more than any other video.
• The correlation between likes and views is positive. And this means likes grow together with views metrics.
• The size of the dot tells about number of shares of the video.

Example #2

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:

• Open your Google Sheets desktop application.
• Open the worksheet and click the Add-ons menu button.
• Follow the same steps we used in example #1.

• Click the search box and type “Scatter Plot.” You’ll be taken straight to the Scatter Chart’s location in the tool, as shown below.
• Alternatively, you’ll find Scatter Plot in the PPC Charts category.

• Fill in the metrics and dimensions.
• In our example, we have 3 metrics, namely GDP, population, and life expectancy. The dimensional variables to fill in is Regions and Countries.
• Complete the task by clicking the Create Chart button.

Insights

• Ethiopia, North Korea, and Madagascar have the above-average gross domestic product (GDP).
• Somalia and the Central African Republic are among the countries with below-average gross domestic product.
• There’s a correlation between life expectancy and GDP per capita though it is relatively weaker.
• The size of the dot represents the population.

Example #3

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.

• Follow the same steps we used in example #1.

• Click the search box and type “Scatter Plot.” You’ll be taken straight to the Scatter Chart’s location in the tool, as shown.

• Fill in the metrics and dimensions.

In our example, we have 3 metrics, namely units sold, MSRP, and horse power. The dimensional variables to fill in is companies and cars.

• Complete the task above with the Scatter Plot generator (ChartExpo) by clicking the Create Chart button.
• Your Scatter Plot should resemble the one below.

Insights

• Camry and Taurus are among the cars with above-average
• Fiesta and Focus are among the car brands with below-average
• Altima and Prius are among the cars with above-average prices.
• There’s a positive correlation between the manufacturer’s suggested price (MSRP) and the horsepower of the car brands in the showroom’s inventory.
• The size of the dot represents the no of unit sold.

Note how easy it is to visualize data with a Scatter Plot generator -ChartExpo.

What are the Challenges Associated with the Scatter Plot Chart?

The two most common problems associated with Scatter Plots are:

• Over plotting, which obscures key insights
• Interpreting all causal-effect insights as correlation

Overplotting 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.

• Correlation is not always causation.

A strong positive or negative correlation in your data does not necessarily mean independent variable is the reason for your dependent variable’s behavior.

FAQs:

How do I create a Scatter plot?

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.

How are Scatter Plots used in real life?

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.

What does a Scatter Plot show?

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.

Wrap Up

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.