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A Scatter Plot is one of the best-suited visualization designs for displaying causal relationships in data with more than 2 variables.
Why?
The chart uses a series of dots to display insights into varying sets of data. Interpreting the Scatter Plot with 3 variables is amazingly easy, even for non-technical audiences (and readers).
To display relationships and associations in your raw data, we suggest you give a Scatter Plot a try.
There’re three types of relationships that a Scatter Plot Chart displays, namely:
So how can you generate visually stunning and insightful Scatter Plots for your data stories?
Excel is the logical choice for many because it’s inexpensive. However, the tool produces less desirable charts, which require extra time and effort to customize.
You don’t have to waste your valuable time.
You have an option of installing a particular add-in if your goal is to access ready-to-use Scatter Plot Charts.
In this blog, you’ll learn:
Let’s define the chart before delving right into the “How to Create a Scatter Plot in Excel with 3 Variables?”.
A Scatter Plot is an easy-to-interpret chart you can use to display the 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 use the Scatter Plot to compare three key variables in your data to determine the relationships.
The values for each dot are encoded by:
Take a look at an example of a Scatter Plot Chart below.
There’s a linear relationship between the number of orders and sales, albeit relatively weaker. In other words, the number of orders increases with sales to a certain degree.
How to create a Scatter Plot in Excel with 3 variables does not have to throw a curveball at you. Keep reading to discover more.
Yes, it’s possible to generate a Scatter Plot with three variables. However, it depends highly on the tool you’re using for the task.
One of the biggest advantages of the chart is that you can easily uncover hidden “cause-and-effect” relationships between two key variables in data.
Excel is one of the best data visualization tools because it’s familiar and has been there for a long time. Besides, its parent company is a reputable technology firm globally in other segments, such as computer Windows.
However, it’s not advisable to over-rely on Excel.
Why?
Excel produces pretty basic Scatter Plot Charts. You have to invest significant amounts of brainpower and time editing the chart to align with your needs.
We’re not advocating you ditch Excel in favor of other expensive data visualization tools. There’s a smart Scatter Plot Chart maker (Excel-friendly add-in) you can install in your spreadsheets app to access the ready-made and visually stunning charts.
We recommend trying ChartExpo to access ready-made and visually stunning Scatter Plot Charts.
ChartExpo is a Scatter Plot generator that over 40,000 professionals worldwide use to create insightful and easy-to-understand visualizations.
How to create a Scatter Plot Chart in Excel with 3 variables should never be a stumbling block for you. In the coming section, we’ll use Scatter Plot Chart in ChartExpo to visualize sample data.
You don’t want to miss this.
This section will use a Scatter Plot to display insights into the tabular data below.
| Products Type | Products | Sales | No. of Orders | In Stock |
| Cosmetic | Face Primer | 90 | 10 | 26 |
| Cosmetic | Foundation | 70 | 12 | 16 |
| Cosmetic | Concealer | 190 | 9 | 13 |
| Cosmetic | Blush | 880 | 16 | 21 |
| Cosmetic | Highlighter | 900 | 22 | 35 |
| Cosmetic | Bronzer | 600 | 23 | 23 |
| Cosmetic | Powder | 600 | 42 | 38 |
| Cosmetic | Eye Primer | 1300 | 19 | 43 |
| Electronics | TVs | 590 | 28 | 32 |
| Electronics | Refrigerators | 390 | 11 | 33 |
| Electronics | Washing machines | 490 | 41 | 22 |
| Electronics | Air Conditioners | 390 | 18 | 40 |
| Electronics | Printers | 260 | 17 | 42 |
| Electronics | Speakers | 210 | 2 | 19 |
| Electronics | Keyboards | 170 | 23 | 34 |
| Electronics | E-Readers | 170 | 13 | 25 |
| Garments | Mobile Phones | 140 | 27 | 21 |
| Garments | Sweater | 110 | 13 | 40 |
| Garments | Hoodies | 110 | 12 | 35 |
| Garments | T-shirts | 760 | 6 | 35 |
| Garments | Jeans | 1500 | 7 | 38 |
| Garments | Sweat Shirts | 1000 | 19 | 39 |
| Garments | Formal Trousers | 150 | 10 | 28 |
| Garments | Polo Shirts | 380 | 14 | 15 |
Click this link to install ChartExpo into your Excel. Congratulations if you’ve installed the add-in into your spreadsheet.
To get started with ChartExpo, follow the simple steps below.
Scatter Plots (also known as x-y Graphs, XY Scatter Chart) are best suited for visualizing data with more than 2 key variables.
The key advantage is you don’t have to use more charts to visualize complex data with more variables.
Check out the common uses of the chart below:
Keep reading because, in the next section, we’ll reveal the best Scatter Plot maker you can use to visualize your data quickly and easily.
The most common use of the Scatter Plot is to display the insights into two or three variables in your data.
The relationships observed can be:
A positive correlation depicts a rise. It’s depicted as data points sloping upwards from the lower-left corner of the chart towards the upper-right.
Conversely, a negative correlation depicts a fall. It’s depicted as data points sloping downwards from the upper-left corner of the chart towards the lower right.
Data that are neither positively nor negatively correlated is considered uncorrelated (null).
You can use Scatter Plot with 3 variables to accomplish the following:
Use Scatter Plots if your goal is to display the relationships between key metrics in your data.
Also, you can use the chart to display trends and patterns of variables in your data. The trend can point upwards, downwards, or flat areas (no change).
Tools, such as Excel, come packed with basic Scatter Plot Charts, which implies you have to spend more time and energy to edit.
But you can overcome the challenge above by downloading and installing a particular add-in for Excel called ChartExpo. The aforementioned tool can help you access a ready-made Scatter Plot with 3 variables.
A Scatter Plot shows the relationship between two quantitative variables in a data set. The values of the dependent variable appear on the horizontal axis, while independent variables appear on the vertical axis of the chart.
Use the chart if your goal is to uncover hidden relationships of key data points.
As we said, a Scatter Plot is one of the best-suited visualization designs for displaying causal relationships in data with 3 variables.
The visualization design uses a series of dots to display insights into two varying sets of data. Interpreting the Scatter Plot with 3 variables is amazingly easy, even for non-technical audiences (and readers).
To display relationships in your raw data, we suggest you give a Scatter Plot a try.
Excel is the logical choice for many because it’s inexpensive. However, the tool produces less desirable Scatter Plot Charts, which require extra time and effort to customize.
How to create a Scatter Plot in Excel with 3 variables does not have to overwhelm or even stress you.
You have an option of installing a particular add-in if your goal is to access ready-to-use Scatter Plot Charts.
We recommend you install third-party apps, such as ChartExpo to access ready-to-use Scatter Plot with 3 variables. This easy-to-use data visualization tool comes as an add-on you can easily download and install in your spreadsheet app.
ChartExpo comes loaded with an insightful and easy-to-interpret Scatter Plot, plus it has variety of different charts. Besides, you don’t need programming or coding skills to visualize your data using the add-in for Excel.
Sign up for a 7-day free trial today to access a ready-made and crystal-clear Scatter Plot with 3 variables for your data stories.
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