Data Carpentries Workshop:
Data Analysis and Visualization in Python

University of Texas at Austin

Nov 2-4, 2022

9:00am - 1:00pm CDT

Instructors: Emily Beagle, Meryl Brodsky, Dianna Morganti, Michael Shensky, Lydia Tressel

Helpers: Jeremy Thompson, Ian Goodale, Jessie Simpson, Allyssa Guzman

General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who:

The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where:

Online

When:

Nov 2-4, 2022. Add to your Google Calendar.

Requirements:

Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Registration:

If you are interested in attending, please complete the workshop registration form by clicking the button below.

Register for Workshop
Space in this workshop is limited, so if you are interested in attending please try to register as early as possible. Once the workshop is full, a waitlist will be created that will accept a limited number of additional registrants.

Accessibility:

We are committed to making this workshop accessible to everybody. The online workshop sessions will be conducted via Zoom and will have automated closed captioning enabled.

If we can help making learning easier for you please get in touch (using contact details below) and we will attempt to provide them.

Contact:

Please email meryl.brodsky@austin.utexas.edu for more information.

Roles:

To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.


Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

Day 1 (Nov. 2)

Before startingPre-workshop survey
9:00 am Data Organization in Spreadsheets
11:00am OpenRefine for Data Cleaning

Day 2 (Nov. 3)

9:00 am Data Analysis and Visualization in Python

Day 3 (Nov. 4)

9:00 am Data Analysis and Visualization in Python

Syllabus

Setup

To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

A list of common issues that occur during installation is provided as a reference at Configuration Problems and Solutions wiki page. You can also find additional details about preparing for the spreadsheet and OpenRefine portions of the workshop at https://datacarpentry.org/ecology-workshop/setup-python-workshop.html. If you visit either of these webpages, please ignore the “Anaconda” and “Python” sections since we will alternatively be using the Google Colab development environment in this workshop.

We will also have a virtual software installation session that will be conducted via Zoom from 3pm to 4pm on Tuesday November 1st (the day prior to the first day of the workshop). During this session workshop registrants will have the opportunity to ask questions and receive help getting the required software ready on their computers.

OpenRefine

For this lesson you will need OpenRefine and a web browser. Note: this is a Java program that runs on your machine (not in the cloud). It runs inside a web browser, but no web connection is needed. In addition to having OpenRefine installed, you will need to download the following data file to your computer https://ndownloader.figshare.com/files/7823341 because we will be working with this data in OpenRefine during the workshop.


Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It will not run correctly in Internet Explorer.

Download software from http://openrefine.org/

Create a new directory called OpenRefine.

Unzip the downloaded file into the OpenRefine directory by right-clicking and selecting "Extract ...".

Go to your newly created OpenRefine directory.

Launch OpenRefine by clicking openrefine.exe (this will launch a command prompt window, but you can ignore that - just wait for OpenRefine to open in the browser).

If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.

Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It may not run correctly in Safari.

Download software from http://openrefine.org/.

Create a new directory called OpenRefine.

Unzip the downloaded file into the OpenRefine directory by double-clicking it.

Go to your newly created OpenRefine directory.

Launch OpenRefine by dragging the icon into the Applications folder.

Use Ctrl-click/Open ... to launch it.

If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.

Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser.

Download software from http://openrefine.org/.

Make a directory called OpenRefine.

Unzip the downloaded file into the OpenRefine directory.

Go to your newly created OpenRefine directory.

Launch OpenRefine by entering ./refine into the terminal within the OpenRefine directory.

If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.

Check to confirm that you can use Python in Google Colab

Visit https://colab.research.google.com/ and click Sign In at the top right of the page and log in with your @utexas.edu Google Account credentials. Once you are signed in, try clicking on the File button at the top left of the page and the select New Notebook. If a new Google Colab Notebook loads successfully for you, you have everything you need in place for the start of the workshop.

Install the videoconferencing client

If you haven’t used Zoom before, go to the official website to download and install the Zoom client for your computer. Set up your workspace

Like other Carpentries workshops, you will be learning by “coding along” with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.

The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.