Scatter Plot is among the best-suited visualization designs for displaying causal relationships. Why?
The chart, as mentioned above, is amazingly easy to read and understand. Our brains can easily identify a trend using dots.
For instance, dots progressing in an upward-right side symbolize a linear (causal-effect) relationship. Therefore, learning how to create a Scatter Plot in Excel with 2 variables is a huge leap towards crafting compelling data stories.
Why stories?
You see, data with no narrative to simplify, is boring to any audience, including engineers perceived to be very analytical. If you want to lose your audience quicker than the rise and fall of a Ponzi scheme, talk about numbers.
Conversely, stories have an emotional appeal. Learning how to make easy-to-read and interpret charts, such as Scatter Plot, is an incredibly powerful addition to your data storytelling weapons.
However, it does have to be time-consuming or overwhelming, especially if you’re an ardent Excel user. The tool generates basic charts, which require additional time and effort to edit.
It turns out you can access ready-made and visually stunning Scatter Plot charts by installing a particular add-in into Excel.
In this blog, you’ll learn:
Yes, it’s possible to generate a Scatter Plot with two variables. However, it depends highly on the tool you’re using for the task.
One of the most significant advantages of the chart is that you can quickly uncover hidden “cause-and-effect” relationships between two key variables in data.
Keep reading because we’ll cover how to create a Scatter Plot in Excel with 2 variables in the coming section.
This section will use a Scatter Plot Chart to display insights into the tabular data below.
How to create a Scatter Plot in Excel with 2 variables does not have to be time-intensive. Let’s visualize sample data using the scatter plot maker.
Cities | Products | Store Sales | Margin % |
Dallas | Bread | 21835 | 36 |
Dallas | Butter | 7958 | 30 |
Dallas | Jelly | 28031 | 40 |
Dallas | Pasta | 30826 | 17 |
Dallas | Cheese | 8522 | 24 |
Dallas | Ice Cream | 55220 | 41 |
Dallas | Soda | 37511 | 53 |
Dallas | Ketchup | 11332 | 54 |
Dallas | Hand Lotion | 43018 | 31 |
Dallas | Batteries | 30559 | 50 |
Chicago | Bread | 42919 | 38 |
Chicago | Butter | 10756 | 39 |
Chicago | Jelly | 37659 | 37 |
Chicago | Pasta | 53742 | 53 |
Chicago | Cheese | 21195 | 48 |
Chicago | Ice Cream | 8934 | 59 |
Chicago | Soda | 37851 | 60 |
Chicago | Ketchup | 11994 | 41 |
Chicago | Hand Lotion | 52606 | 24 |
Chicago | Batteries | 11990 | 19 |
Boston | Bread | 46077 | 47 |
Boston | Butter | 46566 | 55 |
Boston | Jelly | 25195 | 25 |
Boston | Pasta | 59368 | 15 |
Boston | Cheese | 57330 | 18 |
Boston | Ice Cream | 27371 | 14 |
Boston | Soda | 43569 | 13 |
Boston | Ketchup | 34401 | 47 |
Boston | Hand Lotion | 53559 | 10 |
Boston | Batteries | 34039 | 16 |
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.
How to make a Scatter Plot in Excel with 2 variables does not have to be time-intensive. Let’s visualize sample data using the chart above.
Below are scenarios best-suited for a Scatter Plot Chart.
Scatter Charts are widely used to display the relationship between two variables. The relationships you can uncover using this visualization design are categorized as:
The dots, which appear on Scatter Plot examples, represent the individual values of each of the key data points. More so, they allow you to extract trend insights from data faster.
You can use this insightful chart to uncover hidden correlational relationships that exist in your raw business data.
Interpreting Scatter diagram examples is incredibly easy.
The key to interpreting this chart is always to remember the following: independent variables (metrics) are found on the horizontal axis (x-axis). And the dependent variables are situated on the vertical axis (y-axis) in a Cartesian plane.
Use a Scatter Plot to identify the general trend of your key variables in your raw data.
Data points in this chart are grouped together based on how close their values are, which makes it easier to identify outliers. You don’t want to base your business decisions on outliers because they are outright misleading.
Interestingly, the nature of the correlations can also be estimated based on a specified confidence level by creating correlation chart in excel.
Yes, it’s possible to generate a Scatter Plot with two variables. However, it depends highly on the tool you’re using for the task.
One of the chart’s biggest advantages is that you can easily uncover hidden “cause-and-effect” relationships between two key variables in data.
Correlation is the statistical relationship between two variables in raw data. A correlation can be:
Scatter Plot is among the best-suited visualization designs for displaying causal relationships.
The chart mentioned above is straightforward to read and understand. Our brains can easily identify a trend using dots. For instance, dots progressing in an upward-right side symbolize a linear (causal-effect) relationship.
Learning how to create a Scatter Plot in Excel with 2 variables is a huge leap towards crafting compelling data stories.
Excel generates basic charts, which require additional time and effort to edit.
We recommend you install third-party apps, such as ChartExpo, in Excel to access ready-to-use Scatter Plot Charts.
ChartExpo is an add-in for Excel that’s loaded with insightful and easy-to-interpret Scatter Plots, plus over 50 more charts. You don’t need programming or coding skills to visualize your data using the Scatter Plot in ChartExpo.
How to create a Scatter Plot in Excel with 2 variables doesn’t have to be time-consuming or overwhelming, especially if you’re an ardent Excel user.
Sign up for a 7-day free trial today to access Scatter Plot Charts that are amazingly easy to interpret and visually appealing to your target audience.