omar-scott
Uploaded by
11 SLIDES
252 VUES
110LIKES

Understanding Graphing: How to Create Clear and Effective Data Visualizations

DESCRIPTION

Graphing is essential for visualizing data effectively. A good graph serves as a clear picture that helps readers understand your data. Key elements of a good graph include T for Title, A for Axes, I for Intervals, and L for Labels. Different types of graphs serve different purposes: Bar Graphs for comparisons, Line Graphs for continuous data, Pie Charts for showing parts of a whole, and Scatter Plots for identifying patterns. Master these elements to ensure your graph communicates accurately and effectively.

1 / 11

Télécharger la présentation

Understanding Graphing: How to Create Clear and Effective Data Visualizations

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Graphing Creating a picture of your data

  2. A graph is… a picture of your data. Make sure it is a clear picture that helps your reader understand your data.

  3. TAIL…elements of a good graph T = title (must name the graph) A = axes (x and y axes for line graphs, bar graphs, histograms, scatterplots, etc) I = intervals (fit your data to your graph using intervals that make sense. AVOID BREAKS!) L = labels (titles for the axes otherwise we don’t know what we are looking at!)

  4. Bar Graph-compare data elements

  5. Double Bar Graph-compare two groups

  6. Line Graph (continuous data)

  7. Double Line Graph-compare 2 sets of continuous data

  8. Circle Graph or Pie chart (compare to the whole)

  9. Scatter plot-to show data patterns

  10. Box and Whisker-shows outliers

More Related