Visually Displaying Data Results
Walden University
RSCH 8210: Quantitative Reasoning and Analysis
14:08:14 GMT -05:00
Wk2AssignTedrowW.docx 1 Visually Displaying Data Results Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:08:14 GMT -05:00 Visually Displaying Data Results Categorical Variable Using the Afrobarometer data set, with a mean age of 37.23, the first variable selected for visual display is the Urban or Rural Primary Sampling Unit. This is a categorical variable because all responses fall into urban, rural, or semi-urban categories. Each response carries the same weight making the variable nominal (Frankfort-Nachmias et al., 2021). The graph displays the proportion of responses by categories. The proportion is obtained by dividing the frequency of each category by the total number of responses (Frankfort-Nachmias et al., 2021). Pie charts are a more effective tool for displaying the proportions of an extensive data set because they are more accessible for the reader to grasp. Additional
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