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RES04_Res Pro CO2_#1

RESEARCH PROJECT CO2 _ Data Presentation (Graphs & Basics) _ #1

QuestionAnswer
What is data presentation? The process of organizing data into logical, meaningful categories for interpretation.
What is the purpose of data presentation? To make data intelligible, interpretable, and connected to research questions.
What are the three main reasons to present data properly? To catch attention, highlight key information, and convey data concisely.
What are the three ways of presenting data? Graphical, tabular, and textual.
What is a graph? A pictorial representation showing variations or relationships between variables.
What is the purpose of graphing data? To present changes and relationships in an attractive and convincing way.
What are the two components of graphical presentations? Data components and descriptive components.
What are examples of data components in a graph? Bars, slices, diagrams, and other visual elements.
What are examples of descriptive components in a graph? Title, legend, labels, gridlines, footnotes, and data source.
What is a pie chart? A circle divided into proportional sectors representing categories.
What is the maximum recommended number of slices in a pie chart? Five slices.
Where should the largest slice of a pie chart begin? At the 12 o’clock position.
What is a bar graph used for? Comparing frequencies of categories quickly and clearly.
Why should bar graphs start at zero? To avoid exaggerating differences between bars.
What is a histogram? A bar-like graph showing the distribution of continuous data with no gaps.
What is a line graph used for? Tracking changes over time and comparing trends across groups.
What is the maximum recommended number of lines in a line graph? Three lines.
What is a scatter plot used for? Showing correlation or its degree between two variables.
When should scatter plots be avoided? When data is too dispersed, too few, too many, or overlapping.
What is one guideline for constructing good graphics? Avoid distortion and unnecessary clutter so the data stands out.
 

 



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