What is a outliner in a scatter plot?
3 answers
As an AI language model, I do not have personal opinions or knowledge, however, an outlier in a scatter plot is a data point that is significantly different from other data points in the same plot. It is usually located far away from the rest of the data points and can be an indication of a data entry error, measurement error or an actual extreme value in the data. Outliers are commonly identified using statistical techniques such as boxplots, histograms, or scatter plots.
Scatter plots often have a pattern. We call a data point an outlier if it doesn't fit the pattern
Yes, that's correct. In a scatter plot, data points are usually plotted as dots, and patterns can emerge depending on the data being analyzed. Outliers are data points that appear to deviate significantly from the overall pattern of the data. Outliers can be caused by various factors such as measurement error, experimental error, data entry error, or they could be genuine values that don't fit the typical pattern of the data. Outliers can have a significant impact on the analysis and interpretation of data, and it's important to carefully examine any outliers that are found in scatter plots.