Add repo size badge to README.

Author: stefmolin

README.md

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 # Pandas Workshop
 
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/stefmolin/pandas-workshop/main?urlpath=lab) [![Nbviewer](https://img.shields.io/badge/render-nbviewer-lightgrey?logo=jupyter)](https://nbviewer.jupyter.org/github/stefmolin/pandas-workshop/tree/main/) [![View slides in browser](https://img.shields.io/badge/view-slides-orange?logo=github)](https://stefmolin.github.io/pandas-workshop/slides/html/workshop.slides.html#/)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/stefmolin/pandas-workshop/main?urlpath=lab) [![Nbviewer](https://img.shields.io/badge/render-nbviewer-lightgrey?logo=jupyter)](https://nbviewer.jupyter.org/github/stefmolin/pandas-workshop/tree/main/) ![GitHub repo size](https://img.shields.io/github/repo-size/stefmolin/pandas-workshop) [![View slides in browser](https://img.shields.io/badge/view-slides-orange?logo=github)](https://stefmolin.github.io/pandas-workshop/slides/html/workshop.slides.html#/)
 
 Working with data can be challenging: it often doesn’t come in the best format for analysis, and understanding it well enough to extract insights requires both time and the skills to filter, aggregate, reshape, and visualize it. This session will equip you with the knowledge you need to effectively use pandas – a powerful library for data analysis in Python – to make this process easier.
 
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 ## Setup Instructions
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 0. Install Python >= version 3.8.0 and <= version 3.10.2 OR install [Anaconda](https://docs.anaconda.com/anaconda/install/)/[Miniconda](https://docs.conda.io/en/latest/miniconda.html). Note that Anaconda/Miniconda is recommended if you are working on a Windows machine and are not very comfortable with the command line. Alternatively, you can use [this](https://mybinder.org/v2/gh/stefmolin/pandas-workshop/main?urlpath=lab) Binder environment if you don't want to install anything on your machine.
 1. Fork this repository: