There are a range of ways to visualising data; including graphs, data visualisations and infographics:
Graphs: Graphs transform data or statistics into a visual format, such as a bar chart, scatter graph or pie chart, that demonstrates the trends in the data.
- Data Journalism Handbook - This section of the Data Journalism Handbook outlines how different graphs tell different stories and explains the most effective way to use them: http://datajournalismhandbook.org/1.0/en/delivering_data_6.html
- Creating graphs in Excel - a simple guide to creating graphs in Excel: http://www.wikihow.com/Create-a-Graph-in-Excel
- How to vizualise data - to create some more complex graphs follow the instructions on this site: http://www.statsoft.com/Textbook/Graphical-Analytic-Techniques
Data visualisations: Like graphs, data visualisations are often more visually engaging, for example using more colours or more varied designs. They demonstrate the meaning in data, using minimal text, allowing the graph to do the talking. An infographic is a extended visualization - intended to show often complex information in a simple, easy to understand and attractive format.
- Open Development Toolkit Visualisations - a slidedeck that teaches how to visualise aid data: http://opendevtoolkit.net/en-US/training/data-viz/
- Data Journalism Handbook - explains how to use visualisations to tell a story: http://datajournalismhandbook.org/1.0/en/delivering_data_4.html
- Examples of visualisations - Here are 50 great examples of visualisations, and as you will see they are all still fundamentally graphs but are much more exciting: http://www.webdesignerdepot.com/2009/06/50-great-examples-of-data-visualization/
- Visualisation tools - These blogs present recommended visualisation and infographic tools http://www.uie.com/articles/data_visualization_tools/, http://www.creativebloq.com/infographic/tools-2131971, http://www.creativebloq.com/design-tools/data-visualization-712402