You can use scatter plots to investigate whether there is a relationship between two variables. When and How to Use Scatter Plots for Visual Analysis Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.Plans and Pricing Toggle sub-navigation.Stay safe everyone, and as always, you can access SimplyAnalytics remotely, so please let us know if you are running into any issues with remote access – we are here to help and always available for webinar training sessions. That’s all for today! We’re excited to see some of the interesting scatter plots you can come up with! The image below would normally display all States in the USA, however, there is a median hh income filter applied (inc > $85,000) so you are left with only 9 states (dots) in the chart that meet this criteria.Īlso notice how the x-axis has moved to reflect our criteria. This will remove any points that do not meet your filter conditions. Lastly, you are welcome to create and apply a data filter onto your scatter plot. What is the line of best fit? In short, it is a straight line that best represents the data on a scatter plot. Use this button to toggle between whether or not the line of best fit is present. You are welcome to select either axis in the legend, and change the variable(s) you want to analyze.įeel free to edit these options within the Edit Legend page to change the appearance of your graphic. You can rename your scatter plot by either clicking on the heading at the top of the graphic, or by selecting Edit on the legend and renaming there. Does a negative direction/value mean anything bad or wrong? Nope! It just means as the x axis increases, the y axis decreases – nothing negative or incorrect. This means there is a moderate, positive correlation. The scatter plot above has an r value of 0.697. Negative Direction – The points looks like they are going downhill Positive Direction – The points looks like they are going uphill The “r” value will always be on a scale from -1 to +1, and you can use these values to understand the relationship between the variables.Ī generalization of the scales and how to think of them is: What does the r-value mean? In short, that’s displaying Pearson’s R – this is a correlation coefficient that’s used in linear regression. The legend has a section heading titled Correlation that contains an “r” value. Looking at this scatter plot, there is a strong positive correlation between median household income and the % of adults who have a college degree within CDs in the USA. TIP : You can click on any point to display the name and underlying data. The legend towards the right also displays helpful information. The top of the view explains what each point represents – in this example, Counties in the USA. Voila! Your first scatter plot is created. Of course, this can be edited directly on the scatter plot as well, but for now, select Done to generate the scatter plot. Here you can choose which data variables to display along which axis. The Edit View page displays your data variables and locations in the project. Let’s take a look at an example below using SimplyAnalytics where we’ll use the % of Adults (25+) with a college degree and Median Household Income to see if there’s a correlation between the variables for Counties in the USA.įirst, click on New View > Create under the Scatter plot option: Scatter plots enable users to identify correlations between two different variables. Each dot represents both the x and y values for a single location, such as a ZIP Code or county. Let’s take an in-depth look at this new feature.Ī scatter plot is a graphical representation where the values of two data variables are plotted along the x and y axis. We are excited to announce that scatterplots are officially live! Scatter plots are a great way to visualize the relationship between two different data variables, and we know you will enjoy them as much as we do. Hello readers! We hope you are doing well, and thank you for your continued support of SimplyAnalytics.
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