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Selecting Appropriate Graphs for Effective Data Visualization

This guide outlines key types of graphs suitable for data representation, emphasizing their specific applications and advantages. It covers pie charts, column charts, and scatter plots, detailing when to use each type based on the nature of the data. Pie charts excel in displaying percentages visually but are limited for comparisons. Column charts, especially clustered ones, are ideal for comparing values across categories. Scatter plots allow for the analysis of relationships between pairs of data, facilitating insights through trend correlations. Proper labeling and justification for choosing each graph type are also highlighted.

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Selecting Appropriate Graphs for Effective Data Visualization

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  1. Unit 3 –Problem Solving AO5 –Create suitable graphs and charts D Garey

  2. Graphs/charts • Choose 3 different types for DISTINCTION • Do not discuss what each graph shows at this point • You MUST justify your choice of each type of graph • Don’t touch line graphs unless you have continuous data! D Garey

  3. Pie Charts • Good for showing percentages • Easy to read • Very visual • Not so great for comparisons • Make sure they are fully labelled, with values D Garey

  4. Column Charts • Clustered column is better for comparing values across categories • Stacked column –compares the contribution of each value to the total in the category D Garey

  5. Scatter Plots • Compares pairs of values • Line of best fit can signify a correlation –positive and negative depending on trend • “-er” statements can be made i.e. the older the person the less time spent on the Wii D Garey

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