For instance, when you want to show patterns in your large data sets, a Scatter Plot can show linear and nonlinear trends and outliers.Use a Scatter Plot when you randomly distribute data on the x-axis.When you want to display data that has grouped values, you can adjust your independent scales so that they show more information about the grouped sets of values.You have the freedom to customize it to become a logarithmic axis. A Scatter Plot uses values in its horizontal axis when you want to use a logarithmic scale on your horizontal axis.When you want to compare many data points without regard to time, this only means the more data you include in your Scatter Plot, the better the comparisons you can make with this visualization.You can use a Scatter Plot to modify the horizontal axis scale. These labels can represent evenly spaced values as days, weeks, and years. You can use a Line Graph if you want to label your horizontal axis with text labels. If your raw data only has numeric values, use a Scatter Plot. Generally, it is better to use a Line Graph if your raw data includes non-numeric values. The straight-line segments help you identify trends and patterns in your data. There is no line of best fit in this case. On the other hand, a Line Graph connects various data points using straight line segments. Still, a Scatter Plot uses dots to show correlations and associations in your raw data. Graph B is a Scatter Plot.Īs you can see, a Scatter Plot uses a line of best fit to display a relationship between two varying data sets. When you visualize the above data using a Scatter Plot, it will appear as shown below. We want to see if there is a correlation between height and age in both genders. This visualization has several dots that are essential in showing the correlation between the variables you plot.Ī Scatter Plot is best suited for the job if your objective is to reveal hidden insights between two variables. A Scatter Plot is commonly known as an x-y Graph. What is a Scatter Plot?Ī Scatter Plot is a visualization that displays relationships between vital data points.
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