Which Points in the Scatter Plot Are Outliers

To better visualize the difference we plot contours of the Mahalanobis distances calculated by both methods. We can see the scatter plot and it shows us if a data point lies outside the overall distribution of the dataset.

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Scatter plot to identify an outlier.

. The whiskers indicate variability outside the upper and lower quartiles. In case youre having trouble with doing that look at the five data points in the original scatter plot that appear in red. Finding outliers in dataset using python.

We find the mean and standard deviation of the all the data points. You should be able to look back at the scatter plot of the data and see how the data points there correspond to the data points in the residual versus fits plot here. For now all you need to understand is how much easier it is to spot trends outliers and get a sense of the underlying relation between variables using a scatter plot.

Notice that the robust MCD based Mahalanobis distances fit the inlier black points much better whereas the MLE based distances are more influenced by the outlier red points. And remember this is an example with 6 data points in real-life datasets you can easily have hundreds of points or more so good luck understanding anything looking at only the raw numbers. Box plot charts can be dressed up with whiskers which are vertical lines extending from the chart boxes.

If you are wondering what does a scatter plot show the answer is more simple than you might thinkThe scatter plot has also other names such as scatter diagram scatter graph and correlation chart. In Microsoft Excel a box plot uses graphics to display groups of numerical data through five values called quartiles. Scatter plot helps in many areas of today world business biology social statistics data science and etc.

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