![]() The larger the dot, the larger the percentage of students who got such marks. The size of the dot represents what is the percentage of students who remained, who obtained the particular marks.The dots are scattered all over in the Scatter Plot example above. There’s no correlation between the number of students and marks. ![]() The last column “Percentage of Students” will be mapped on Dot Size Metric. of students” to the x and y-axis respectively. You can follow the same steps that were provided above in Example 1 and then map the columns “marks obtained” and the “no.Let’s assume the data below is what you collected. Imagine you want to investigate whether there’s a relationship between the number of students and the marks scored. Socks have the least availability in stock. Sneakers and Jogging shoes are more in stock. Moreover, the larger the size of the dot, the more product is available in stock. Scatterplot has significantly highlighted this. Sneakers are the best outlier in this data.In the fitness category, the Knee band got no.Whereas “Electronics” and “Garments” are below the average. Several orders for the categories of Footwear and Decoration are above the average.To install the tool of your choice and create stunning visualizations within a few clicks in your preferred platform, please utilize the following calls-to-action (CTAs). You can access ChartExpo charts on both Google Sheets and Microsoft Excel. You will have to accept some permissions and you may have to confirm your Google account. Search for ChartExpo in the bar and click the Charts, Graphs & Visualizations by ChartExpo when it appears in the results.In the menu that appears, go to “Add-ons” and click the option “Get add-ons”.To get started, click on “Extensions” in the top toolbar. You can download ChartExpo directly from the Google Sheets.How to Install ChartExpo in Google Sheets? If you want to create a Scatter plot in Excel you can refer to our guide How to Make a Scatter Plot in Excel otherwise keep reading to continue in Google Sheets. Besides, it comes loaded with amazing advanced charts you’ll never find freemium data visualization tools, such as Excel and Google Sheets. There are signs of a relationship between two variables in the data.ĬhartExpo is a data visualization library that produces charts that are incredibly easy to interpret.Dependent variables have multiple values for each figure associated with the independent variable.There are pairs of variables in the data.You can use a Scatter graph to uncover hidden “cause-and-effect” relationships between two key variables in your data.īelow are the scenarios you can apply Scatter Plot examples to get the maximum from your raw data. The actual analysis comes in when you discern the type of relationship existing between key metrics you’re tracking closely. In this scenario, you would want to know whether the growth of click-through rate (CTR) impacts conversions.Įssentially, you can use Scatter Plot examples to determine relationships or associations between key data points. For instance, you can use this chart to track the relationship between click-through rate and conversion metrics in digital marketing. Use a Scatter Plot to compare two key variables in your data to determine their relationship. So when should you use this chart? Uses of Scatter Chart What is a Scatter Plot?Ī Scatter Chart (also called a Scatter Plot, Scatter Graph) is a visualization design that uses Cartesian coordinates to display values in dots.īesides, this chart distills key insights into the collection of points, along x and y-axes. You don’t want to miss the rest of the blog if your goal is to elevate your Google Sheets game to the A-level.īefore we cover the Scatter Plot examples we promised, let’s go through the definition part. You’ll come across a ton of Scatter Plot examples to get you started with data storytelling quickly. This blog will walk you through the easy-to-follow steps to get started with this visualization. You can supercharge it with third-party apps (add-ons) to access highly intuitive and easy-to-interpret Scatter Plot examples. It turns out you don’t have to do away with this freemium data visualization tool (Google Sheets). Google Sheets comes with pretty basic Scatter Plot templates, which require a ton of customizations to align with your data story. Visualizing data using this insightful and easy-to-interpret chart should not stress you or even consume your valuable time, especially if you’re an ardent user of Google Sheets. Scatter Plots are best suited to visualize data for causal relationship insights.
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