Best Practices While Graphing Data | StudyTution

Know your purpose

  • Have a purpose for every table or graph you create
  • Choose the table/graph to serve the purpose.
  • Pie charts are best to use when you are trying to compare parts of a whole.
  • Bar graphs are used to compare things between different groups.

Label your data

  • Label your chart to show the categories and indicate whether some have been combined or omitted.
  • Name the bars in a bar chart.
  • Name the slices in a pie chart.
  • If you have omitted some of the cases, make sure the label of the plot defines the collection that is summarized.

Many categories

  • A bar chart or pie chart with too many categories might conceal the more important categories.
  • In some case, grouping other categories together might be done.

The area principle

  • Displays of data must obey a fundamental rule called the area principle.
  • The area principle says that the area occupied by a part of the graph should correspond to the amount of data it represents.
  • Violations of the area principle are a common way to mislead with statistics.

Misleading graphs: violating area principle

  • Decorated graphics: Charts decorated to attract attention often violate the area principle
  • Another common violation is when the baseline of a bar chart is not at zero.
  •  whenever you truncate graph there is a loss in information
  • Indicating a y- axis break
  • Round-off errors
  • Important to check for round-off errors.
  • Important to check for round-off errors.
  • When table entries are percentages or proportions, the total may sum to a value slightly different from 100% or 1.
  • This might result in a pie chart where the total does not add up

Summarizing categorical data

  • Graphical summaries of categorical data: bar chart and pie chart.
  • Need for a compact measure.
  • Numbers that are used to describe data sets are called descriptive measures.
  • Descriptive measures that indicate where the center or most typical value of a data set lies are called measures of central tendency.
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