A Data Carpentry Workshop

By ELIXIR Slovenia

Faculty of Medicine, University of Ljubljana
National Institute of Biology, Ljubljana

Institute for Biostatistics and Medical Informatics, Faculty of Medicine, Vrazov trg 2, Ljubljana
July 20-21, 2015
9:00am - 5:00pm

General Information

Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.

Our curriculum includes:

Data Carpentry's teaching is hands-on, so participants are required to bring their own laptops. There are no pre-requisites, and we will assume no prior knowledge about the tools.

The participants will need to bring their own laptops configured before the workshop according to the setup instructions.

Instructors: Aleksandra Pawlik, Aleksandra Nenadic, Peter Juvan

Assistants: Ziva Ramsak, Brane L. Leskosek, Domen Soklic, Mateusz Kuzak

Where: Institute for Biostatistics and Medical Informatics, Faculty of Medicine, Vrazov trg 2, Ljubljana. Get directions with OpenStreetMap or Google Maps.

Contact: Please email tanja.dreo@nib.si, peter.juvan@mf.uni-lj.si for questions and information not covered here.

Twitter: #datacarpentry

Etherpad For communication we will be using this Etherpad

Schedule

Monday, 20 July 09:00 - 9:30 Introduction and setup help
09:30 - 10:30 Better use of spreadsheets (Sample dataset 1.) (Sample dataset 2)
10:30 - 11:00 Break
11:00 - 12:00 Open Refine
Sample file for the OpenRefine lesson.
12:00 - 13:00 Lunch break
13:00 - 14:30 Introduction to R
14:30 - 15:00 Coffee break
15:00 - 16:45 Working with data in R
16:45 - 17:00 Wrap-up
     
Tuesday, 21 July 09:00 - 10:30 Working with command line - part 1. (Sample dataset.)
10:30 - 10:45 Break
10:45 - 12:00 Working with command line - part 2
12:00 - 13:00 Lunch
13:00 - 14:00 Automating tasks in command line - scripting
14:00 - 14:30 Data manipulation with SQL - part 1
14:30 - 15:00 Break
15:00 - 16:30 Data manipulation with SQL - part 2
16:30 - 17:00 Wrap-up and feedback

Additional Resources

R

Where to learn more about R

Plotting in R

Setup

To participate in a Data Carpentry bootcamp, you will need working copies of the software described below. Please make sure to install everything (or at least to download the installers) before the start of your bootcamp.

Overview

Editor

When you're writing scripts or text, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words. The default text editor on Mac OS X and Linux is usually set to Vim, which is not famous for being intuitive. if you accidentally find yourself stuck in it, try typing the escape key, followed by ':wq!' (colon, lower-case 'q', exclamation mark), then hitting Return to return to the shell. (This will exit Vim and save the changes you made in the file.)

The Bash Shell

Bash is a commonly-used shell. Using a shell gives you more power to do more tasks more quickly with your computer.

R

R is a programming language that specializes in statistical computing. It is a powerful tool for exploratory data analysis. To interact with R, we will use RStudio, an interactive development environment (IDE).

SQL

SQL is a specialized programming language used with databases. We use a simple database manager called SQLite, either directly or through a browser plugin.

Spreadsheet

We'll be using a spreadsheet program. If you already have a spreadsheet program installed, like LibreOffice, Excel or OpenOffice, you can use whatever you already have. If you don't have a spreadsheet program, please download and install LibreOffice.

Windows

Editor

Notepad++ is a popular free code editor for Windows. Be aware that you must add its installation directory to your system path in order to launch it from the command line (or have other tools like Git launch it for you). The instructions to modify your path are available online here. Please ask your instructor to help you do this.

Git Bash

Install Git (version control) and a Bash shell for Windows from the msysGit project's homepage. This will provide you with Bash in the Git Bash program.

Software Carpentry Installer

Other tools used in Data Carpentry have been packaged up by Software Carpentry in an installer. This installer requires an active internet connection.

  • Download the installer.
  • Double click on the file to run it.
  • A command window will open and then close again. The installer downloads and installs a couple of command line programs that we'll need for course.
  • If you saw it open and then close again, you're set!

R

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE.

SQLite

Install the Firefox SQLite browser plugin described below.

Mac OS X

Bash

The default shell in all versions of Mac OS X is bash, so no need to install anything. You access bash from the Terminal (found in /Applications/Utilities). You may want to keep Terminal in your dock for this workshop.

Editor

We recommend Text Wrangler or Sublime Text. Alternatively, you can use nano, which should be pre-installed.

R

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

SQLite

sqlite3 comes pre-installed on Mac OS X. Also install the Firefox SQLite browser plugin described below.

Linux

Bash

The default shell is usually bash, but if your machine is set up differently you can run it by opening a terminal and typing bash. There is no need to install anything.

Editor

Kate is one option for Linux users. Alternatively, you can use nano, which should be pre-installed.

R

You can download the binary files for your distribution from CRAN. Or you can use your package manager, e.g. for Debian/Ubuntu run apt-get install r-base. Also, please install the RStudio IDE.

SQLite

sqlite3 comes pre-installed on Linux. Also install the Firefox SQLite browser plugin described below.

 

Miscellaneous

Extras - everyone needs to install these

Firefox SQLite Plugin

Instead of using sqlite3 from the command line, you will use this plugin for Firefox instead. If you don't already have firefox, install it first. To install the sqlite plugin:

  • Start Firefox.
  • Go to the plugin homepage.
  • Click the "Add Now" button.
  • Click "Install Now" on the dialog that appears after the download completes.
  • Restart Firefox when prompted.
  • To check that it was installed correctly, select "SQLite Manager" from the "Tools" menu.

OpenRefine

OpenRefine (formerly Google Refine) is a powerful tool for exploring and working with messy data. You will need a browser (Firefox or Chrome is recommended) to work with Open Refine. Once you install Open Refine, you should be able to launch it double clicking like most of the programs. Open Refine will open in the browser (but you don't have to be online)