You can use this insightful chart to uncover hidden correlational relationships that exist in your raw business data. Identification of Correlational Relationships.More so, they allow you to extract trend insights from data faster. The dots, which appear on Scatter Plot examples, represent the individual values of each of the critical data points. The relationships you can uncover using this visualization design are categorized as: Scatter Charts are widely used to display the relationships between two variables. Displaying hidden relationship between two variables.Keep reading because, in the coming section, we’ll take you through a ton of Scatter Plot examples to simplify everything. This data visualization design qualifies to be called a Scatter Diagram with no degree of correlation. Besides, it’s not easy to decode relationships between data points. In this Scatter Plot example, data points are scattered all over the place. There are signs of a relationship between two variables in data.Dependent variables have multiple values for each figure associated with the independent variable.You can use Scatter Diagrams 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 conversion value.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. What is Scatter Plot?Ī Scatter Chart (also called a Scatter Plot, Scatter Graph, or Scatter Diagram) 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. Top 5 Scatter Plot Examples to Get You Started with Data Storytellingīefore we cover the Scatter Plot examples we promised, let’s go through the definition part. 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. 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. And this implies digging deeper to uncover the causal factors and their relationship to the problem you’re trying to alleviate. The key to solving a problem is identifying its root cause.
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