MY580 Data Visualization for Social Research: Principles and Practice for Effective Storytelling

Date:

23/11/2026

Organised by:

London School of Economics and Political Science

Presenter:

Dr Michael Ganslmeier

Level:

Intermediate (some prior knowledge)

Contact:

methodology.admin@lse.ac.uk

Location:

View in Google Maps  (WC2B 4DS)

Venue:

CON 1.01, Connaught House
LSE
65 Aldwych
London

Description:

Well-designed graphics are among the most powerful tools social scientists have for exploring data and communicating findings, yet visualization is rarely taught systematically. This hands-on session introduces the principles and practice of effective data visualization using R/ggplot.

We begin with the foundations: how visual perception works, which visual encodings suit which data types, and why so many published graphics fail. We then build visualizations step by step using the grammar of graphics. Topics include exploratory visualization, aggregation and uncertainty, and turning exploratory graphics into clear visual arguments for papers and presentations.

Participants leave with reusable RMarkdown notebooks and a principled workflow for producing publication-quality, reproducible graphics. Basic familiarity with R is helpful but not required; all materials are provided.

Session Details
Time: 10.00 - 15.00 (12.00 - 13.00 Lunch break)
Date: 23 November 2026.
Mode: Hybrid: In-person at CON.1.01 and online via Zoom.

If you are an ESRC funded student then we require your name, email and course to report your attendance to your home institution, please click here to see the privacy notice that this data collection is subject to.

Cost:

Free

Website and registration:

Register for this course

Region:

Greater London

Keywords:

Data Collection, Data Quality and Data Management , Computational image processing and analysis, Data Visualisation


Related publications and presentations from our eprints archive:

Data Collection
Data Quality and Data Management
Computational image processing and analysis

Back to the training database