Data Visualization

Data visualization

Humans are visual creatures. Thus, visualization is one of the most important tools for conveying information and data scientists should be adapt at selecting appropriate visualizations.

Which plot is appropriate?

Choosing an appropriate plot for a given set of data can be hard because there are so many types of plots such as scatter plots, box plots, and histograms. Fortunately, I have created an overview of the most important plots, when they are appropriate, and how they can be used in R.

Posts about data visualization

The following posts deal with topics from data visualization.

Radar plots

Radar plots

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Radar plots are exceptional for visualizing the properties of individual objects. Here, I demonstrate how to draw radar plots in R by plotting the properties of whiskeys from several distilleries.

Bar Plots and Error Bars

Bar Plots and Error Bars

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Bar plots are frequently used due to their simplicity. However, they also do not convey a lot of information. Here, I discuss how error bars can be used to visualize variance and under which circumstances bar charts should not be used.