Plotly is a very useful and versatile package for data visualization. Our task is to showcase this using a couple of examples.
Despite its rather technical title in R this is a simple data frame of calibration data during the development of an ELIZA assay for recombinant protein DNase for animal (rat) serum:
As you can see it is possible to introduce a third dimension into a scatter plot using color.The next example is the ISLR wages dataset used to illustrate box plots. The differences in pay between Industrial and information jobs can be seen here:
## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels
## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levelsJust by hovering over the boxplot it is possible to visualize the median and IQR values.
The third Example is an interactive Choropleth map of the US in order to view the number of murders by each State in 2010:
I hope you have found these few examples of what you can do with the plotly package useful.