Marginal plot fequently asked questions

Marginal plot fequently asked questions

What is a Marginal Plot in Sigma Magic?
A marginal plot in Sigma Magic is a combination of a scatter plot and marginal distributions (boxplots, histograms, or density plots) to analyze relationships between two continuous variables.
Why should I use a Marginal Plot?
It helps visualize the correlation between two variables while also showing their individual distributions, allowing for a better understanding of data patterns.
How do I create a Marginal Plot in Sigma Magic?

 Navigate to Sigma Magic > Analysis Tools > Marginal Plot, select your dataset, choose the X and Y variables, and specify the margin type (boxplot, histogram, etc.).


Which types of data are suitable for Marginal Plots?

Marginal plots are used for continuous numerical data where you need to examine relationships and individual variable distributions.


How do I interpret the boxplots in the margins?

 The boxplots in the margins show the median, interquartile range (IQR), and potential outliers for each variable separately.




How can I identify correlation in a Marginal Plot?

If the scatter plot shows a clear trend (positive or negative slope), the variables are correlated. If points are randomly scattered, there is no correlation.


How can I detect outliers using a Marginal Plot?

Outliers appear as individual points outside the whiskers of the boxplots, indicating extreme values in the dataset.


How can I handle missing data in a Marginal Plot?

Sigma Magic provides options to remove or impute missing values before generating the plot.


Can I use Marginal Plots for real-time data analysis?
Yes, if your data updates dynamically, Sigma Magic can refresh the plot automatically when new data is added.
 
Reference: Some of the text in this article has been generated using AI tools such as ChatGPT and edited for content and accuracy.

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