Both Bar Charts and Histograms use the height of bars (rectangles of the same width) to visually depict data. So, they look similar.
But, they - differ in whether the bars are
__separated or__placed together (__contiguous__) - depict different
__types of data__, and - are used for different
__purposes__
1. Separated or contiguous- Bar Charts: separated
- Histograms: contiguous (the example pictured appears to not be contiguous only because the count is zero for the bins 10-19 and 20-29).
2. Types of data- Bar Charts: Counts or Percentages of Nominal (also known as "Categorical") Variables. These Variables have names as their values (e.g. "chocolate", "vanilla", "strawberry"), not numbers.
- Histograms: Counts or Percentages or Probabilities of the number of data points within a Range
3. How Used- Bar Charts are used to display
__relative sizes__(of the counts of the named values). - Histograms are used to display the
__shape__of the Distribution of the data. The Histogram pictured above tells us that the data is roughly Normally Distributed.
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## AuthorAndrew A. (Andy) Jawlik is the author of the book, Statistics from A to Z -- Confusing Concepts Clarified, published by Wiley. ## Archives
June 2018
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