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Graphs: The good, the bad and the ugly! David L. Gee, PhD FCSN 440 - Experimental Foods.

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Presentation on theme: "Graphs: The good, the bad and the ugly! David L. Gee, PhD FCSN 440 - Experimental Foods."— Presentation transcript:

1 Graphs: The good, the bad and the ugly! David L. Gee, PhD FCSN 440 - Experimental Foods

2 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

3 Main Types of Graphs/Charts n Pie Charts n Bar Graphs n Line Charts

4 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

5 Simple pie chart - easy to read

6 3 dimensional pie chart - interesting, but may be more difficult to read - note inclusion of data values

7 This graph makes no sense!

8 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

9 Bar chart organized by fat type

10 3-D : interesting, but improved?

11 Bar chart: organized by attribute : easier to compare?

12 Stacked Bar chart: comparison of %

13 Stacked Bar chart: calories content

14 Line Charts n Shows values of treatments/groups which are continuous n example: –texture changes with time –correlation of two factors tenderness and preference

15 Line chart: makes no sense to link these scores

16 Appropriate use of scatter chart showing relationships

17 Line chart: shows association of two continuous attributes


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