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A Data Carpentry Workshop

King's College London

22-23 Feb 2018

9:30 - 17:30

Instructors: Hugo Tavares, Krzysztof Poterlowicz

Helpers: Rocio Martinez Nunez, Alessandra Vigilante

General Information

Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.

This workshop has a focus on the statistical and programming language R. We will cover Data organization and cleaning, Introduction to R, Data analysis and visualization in R and Advanced data manipulation in R (with an example from genomics). If time allows we will also talk about Interacting with databases from R. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.

Registration: Please fill in this form to register your interest in the course.

Who: The course is aimed at graduate students and other researchers.

Where: King's College London Guy's Campus, London, SE1 3RR. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Contact: Please mail Gabriella Rustici or Rocio Martinez-Nunez for more information.


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

Pre-workshop Survey

Post-workshop Survey

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


Day 1

Data organization in spreadsheets

Data files for the lesson are available here.

  1. Introduction
  2. Formatting data
  3. Common formatting problems
  4. Dates as data
  5. Quality control
  6. Exporting data

Data analysis with R

Recap of R materials from Day 1
  1. Overview of R and Rstudio
  2. Introduction to R
  3. Working with tabular data in R
  4. Data manipulation using the R package dplyr

Day 2

Data analysis with R

  1. Data visualisation using the R package ggplot2
  2. Advanced data manipulation with an example from genomics. Download the data file for this lesson here.

(optional) Interacting with databases

Data files for the lesson are available here. This is a zipped file. Unzip it to a location that you can easily find on your computer.

  1. Interacting with databases from R
Learn more about SQL from the Data Carpentry Lessons.


To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.

Please follow these Setup Instructions.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.