Data Analysis and Visualization with R

Bioinformatics Hub of Kenya Initiative

March 24-25, 2021

9:00 am - 1:00 pm

Instructors: Bernice Waweru, Jennifer Shelton, Benson Muite

Helpers: Michael Landi, Festus Nyasimi, Pauline Karega, David Kiragu

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. Get directions with OpenStreetMap or Google Maps.

When: March 24-25, 2021. 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).

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email info@bhki.org or bioinformaticshubofkenya@gmail.com 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

09:00 AM Introductions - Instructors and participants
09:05 AM Pre-workshop Survey
09:15 AM Check R Setup
09:35 AM 1. Before we Start
10:15 AM 2. Introduction to R
11:30 AM Break
11:45 AM 3. Starting with Data
12:55 PM Wrap-up
01:00 PM END

Day 2

09:00 AM Data Up assessments and Review of Day 2
09:30 AM 4. Manipulating, analyzing and exporting data with tidyverse
11:00 AM Break
11:15 AM 5. Data Visualisation with ggplot2
12:45 PM Wrap-up
12:50 PM Post-Workshop Survey
01:00 PM END

Setup

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

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.

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