{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Exercise 1.3: Split-Apply-Combine of the frog data set\n", "\n", "
" ] }, { "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": [ "
" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.4" } }, "nbformat": 4, "nbformat_minor": 4 }