This dataset example describes a cross-tabulation between two categorical variables. Cross-tabulation allows researchers to compare the distribution of two categorical variables together rather than having to examine their frequency distributions separately. Thus cross-tabulation builds directly on single-variable frequency distributions. Cross-tabulation is most often used to explore whether there is an association between two variables. This example uses a subset of data from the Pew Research Center's Project for Excellence in Journalism News Coverage Index for 2012. Specifically, it presents a cross-tabulation between the geographic focus of a TV news story and whether the story aired on a network or a cable TV news show. Understanding the potential relationship between the focus of news stories and where they are aired can help researchers understand market strategies for TV news shows and how viewers might experience news reports based on whether they watch network or cable news programs. The sample dataset used for this example has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (https://www.journalism.org/datasets/2012-news-coverage-index-data-set/).Direct Prerequisites: Frequency Distributions

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