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Graphs: The good, the bad and the ugly! David L. Gee, PhD FCSN 440 - Experimental Foods
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Good vs. Bad Graphs n Good graphs will: –Give a clear visual display of the point you are trying to make n Bad graphs will: –Confuse the reader –Not make any sense –Demonstrate researchers lack of understanding the purpose of graphs
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Main Types of Graphs/Charts n Pie Charts n Bar Graphs n Line Charts
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Pie Charts n For showing parts of a whole –shows relative contributions n example: –% calories from CHO, PRO, FAT n highlighting one section n 3-D pie charts & tilted pie charts
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Simple pie chart - easy to read
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3 dimensional pie chart - interesting, but may be more difficult to read - note inclusion of data values
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This graph makes no sense!
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Bar Graphs n Comparing values between distinct treatments/groups –Organization of clusters of graphs –Stacked bar graphs combines bar graph with pie chart –3-D bars, 3-D graphs
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Bar chart organized by fat type
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3-D : interesting, but improved?
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Bar chart: organized by attribute : easier to compare?
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Stacked Bar chart: comparison of %
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Stacked Bar chart: calories content
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Line Charts n Shows values of treatments/groups which are continuous n example: –texture changes with time –correlation of two factors tenderness and preference
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Line chart: makes no sense to link these scores
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Appropriate use of scatter chart showing relationships
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Line chart: shows association of two continuous attributes
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