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• Introduction to ggplot2 (print)

  How to create scatterplots, and how to add extra variables with aesthetics (like colour, shape and size) or facetting. Data: fuel economy of US cars.

• Graphics for large data (print)

  Histograms and bar charts for displaying distributional summaries. Boxplots. Other techniques for overcoming overplotting when drawing scatterplots of large datasets. Data: prices and characteristics of 50,000 diamonds.

• Data manipulation and transformatio (print)

  Group-wise summaries and transformations to add extra information to your plots. How to visualise time series. Data: trends in US baby names over the last 120 years.

• Polishing your plots (print)

  Tweaking your plots for maximum presentation impact. Introduction to colour theory. Labels, legends and axes. Tweaking the plot themes.

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