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Visualizing Categorical Data with SAS and R: Exercises Michael Friendly Ernest Kwan Cathy Parish Bin Sun March 3, 2013, Getting started The goal of these workshops is to give you some hands-on experience

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What is friendly visualizing categorical data?

Friendly visualizing categorical data refers to the process of visually representing and exploring data that is organized into categories. This technique involves using graphs, charts, and other graphical representations to help analyze and understand patterns, relationships, and trends within categorical data.

Who is required to file friendly visualizing categorical data?

There is no specific requirement to file friendly visualizing categorical data as it is a data analysis technique rather than a formal filing process. However, it can be used by any individual or organization that wants to gain insights from categorical data.

How to fill out friendly visualizing categorical data?

Filling out friendly visualizing categorical data does not involve a specific form or set of steps. It is a data analysis technique that involves selecting appropriate visualizations, creating charts or graphs using data, and interpreting the results to gain insights from categorical data.

What is the purpose of friendly visualizing categorical data?

The purpose of friendly visualizing categorical data is to discover patterns, trends, and relationships within categorical data. By visualizing data in a friendly manner, it becomes easier to understand and communicate information, identify outliers or anomalies, and make data-driven decisions based on insights gained from the visualizations.

What information must be reported on friendly visualizing categorical data?

Friendly visualizing categorical data does not require specific information to be reported. It is a technique for exploring and analyzing categorical data, so the information used would depend on the dataset being analyzed and the specific research or analysis objectives.

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