{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# Exercise 5.2: Split-Apply-Combine of the frog data set\n", "\n", "<hr>"]}, {"cell_type": "markdown", "metadata": {}, "source": ["We will continue working with the frog tongue adhesion data set.\n", "\n", "\n", "You'll now practice your split-apply-combine skills. First load in the data set. Then, \n", "\n", "**a)** Compute standard deviation of the impact forces for each frog.\n", "\n", "**b)** Compute the coefficient of variation of the impact forces *and* adhesive forces for each frog.\n", "\n", "**c)** Compute a data frame that has the mean, median, standard deviation, and coefficient of variation of the impact forces and adhesive forces for each frog.\n", "\n", "**d)** Now tidy this data frame. It might help to read [the documentation about melting](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.melt.html)."]}, {"cell_type": "markdown", "metadata": {}, "source": ["<br />"]}], "metadata": {"anaconda-cloud": {}, "kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10"}}, "nbformat": 4, "nbformat_minor": 4}