1 / 11

Graphing for anyone

Graphing for anyone. Types of data. Things to remember about all graphs. Title Axis titles Axis labels/scales (including units) Make it clear – don’t use fancy fonts, crazy colours. NO 3D-graphs (they distort the picture) When a scale doesn’t start at zero, use a “broken” axis . Bar Graphs.

necia
Download Presentation

Graphing for anyone

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 for anyone

  2. Types of data

  3. Things to remember about all graphs • Title • Axis titles • Axis labels/scales (including units) • Make it clear – don’t use fancy fonts, crazy colours. NO 3D-graphs (they distort the picture) • When a scale doesn’t start at zero, use a “broken” axis

  4. Bar Graphs

  5. Composite Bar Graphs

  6. Bar Graphs • Discrete data or qualitative data. (no measured data) • Gaps between bars (like jail bars) • Labels underneath the bars (beside horizontal bars) • “Stacked” bars are ok • Horizontal or Vertical bars are ok • Used to show quantities or frequencies

  7. Histograms

  8. Histograms • Continuous data ONLY (measured stuff) • Bars are touching • Labels on the division between the bars • “Stacked” bars are ok • Used to show quantities or frequencies

  9. Pie graphs • Shows the proportion that each part occupies • Can only show information about one variable • Calculate sector size : • 1st quarter sales × 360 • total sales

  10. Strip Graphs • Y10 Eye Colours Red Blue Yellow • Shows the proportion that each part occupies • Can only show information about one variable

More Related