Visualizing data involving more than two features requires careful design, which is often more of an art than a science.

(a) Go to Vincent Arel-Bundocks’s website (URL given in Section1. 1)

and read the Orange data set into a pandas DataFrame object called orange. Remove its first (unnamed) column.

(b) The data set contains the circumferences of 5 orange trees at various stages in their development. Find the names of the features.

(c) In Python, import seaborn and visualize the growth curves

(circumference against age) of the trees, using the regplot and FacetGrid methods.