Visualizing Data

Week 6

Data visualization (part 2), interpretation of graphical information and tips for effective data visualization.

Lectures

No.
Title
Slides
Additional
11 Types of visualisations Raw
12 Effective Data Visualisation Raw

Lecture Recordings
Lecture recordings are only available for IDS students via the University of Edinburgh virtual learning environment. To access the recordings, go to the Introduction to Data Science area on LEARN ULTRA and select Lecture Recordings under the Course Content section. This will open echovideo where you will find a list of all lecture recordings to watch once they become available.

Tasks

  1. Watch the Videos and reading.
  2. Attend the workshop.
  3. Complete the Assignments.

Videos and reading

Some of this material is required and some of it is optional. We expect you to watch the required videos and read the required reading. This required material is part of the course so it may be assessed in the assignments and it may not be covered in the lectures. The optional material is extra reading for those that are interested!

R4DS: Chp 7 - Exploratory data analysis Required
IMS: Chp 6 - Applications: Explore Required
A Layered Grammar of Graphics Optional
From data to viz Optional (new)
Royal Society Data Viz guide Optional (new)

Workshop

The lab sheet can be accessed the day before the workshop, and the solutions the day after the workshop.

Laboratory Title
Links
Date
Lab06: Take a sad plot and make it better
  • Instructions
  • Repository
  • Solutions(Raw)
  • Friday

    During the workshop you will have your first project 'check-in' with a tutor. You should demonstrate that you have a basic understanding of the data you have selected and have made initial steps in cleaning, summarising and visualising your data. We will be looking to understand whether you have a clear problem statement and that you have a plan as to how you would explore the data to answer your statement.

    Assignement

    The second homework assignment (hw-02) will become available this week, which needs to be completed and submitted next week. You will find more information about the assignment here.

    If you are having difficulty accessing your homework or lab repository, see troubleshooting advice here.