Proposal: Preliminary Results and Discussion. Dos and Don’ts DoDon’t Include initial results if you have them You can also conduct and report on informal.

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Presentation transcript:

Proposal: Preliminary Results and Discussion

Dos and Don’ts DoDon’t Include initial results if you have them You can also conduct and report on informal pilot studies Anticipate results Maybe make graphs to show potential relationships Potentially include results from a related project And discuss how your results may be the same or differ Write text before citing figure Write captions for each figure Insert figures without explanatory text or captions Leave this section blank because you have not yet generated formal results

Integrate Figures With Text

Making effective plots: 1.Don’t use default Excel plots! 2.Figure should highlight the key relationships in the data. 3.Should be clear - no extraneous legends, lines, only use annotations when they add real explanatory value. 4.Don’t use bells and whistles like 3-D when they don’t improve clarity. 5.Make sure fonts are large enough to be read both in print and on screen.

What is wrong with this?

What’s wrong here? (where to start…?

Chart for a paper

Chart for presentation

What’s wrong with this graph? Lines too thin Symbols pretty small Axis labels too small, not uniform size Poor choice of axis scales Zero on Y-axis is off graph origin

Improvements Lines thicker Symbols bigger Axis bigger font, bold, uniform Axis scales match data range, changed to log scales Added regression line and equation Y = 0.97X , R2 = 0.745, n = 145

The much-abused Pie Graph (try to avoid them) (consider stacked bar graphs) Fonts too small Bad color choices: slices not distinguished by shading Too many data groups (categories)

Fixes Combined categories Better shading / color scheme Enlarged fonts Unboxed the legend (remove excess ink)

What is wrong with this?

What is effective from these variations?

Bar plots vs. box plots -Appropriate for counts without variation -Emphasis on comparing means -Error bars show some variation (if included) -Shows rough distribution of data, including outliers -Conveys much more information in same amount of space (customizable, but usually median, quartiles, 95% range, outliers)

For presentations, use color, make thick lines, larger fonts

Use diagrams and cartoons to illustrate concepts and describe methods