Data Visualisations

Date:

14/05/2025

Organised by:

London School of Economics

Presenter:

Dr Daniel de Kadt

Level:

Advanced (specialised prior knowledge)

Contact:

Crystal Chia
methodology.research@lse.ac.uk

Map:

View in Google Maps  (WC2A 2AE)

Venue:

Data Science Institute
COL 1.06
Columbia House (Houghton Street Entrance)
Houghton Street
London, WC2A 2AE
Please ring the doorbell

Description:

Data Visualisations by Dr Daniel de Kadt
Department of Methodology x Data Science Institute

Data visualisation plays a central role in modern applied social science and data science. In this workshop we will introduce some of the core theory and principles behind good data visualisation, before working through a range of applied cases. These will cover a wide range of applications and data, including deep-dives into experimental data, marginal effects and interaction terms, and spatial data. Throughout there will be a strong emphasis on the data structures that underpin visualisations, and attendees will learn how to map plots to data, and vice versa. Computation will be in R, using a range of conventional packages.

Session Details
Time: 10:00 - 15:00 (12:00 - 13:00 Lunch break)
Date: 14 May 2025
Mode: In person at DSI and on Zoom

Data Science Institute
COL 1.06
Columbia House (Houghton Street Entrance)
Houghton Street
London, WC2A 2AE
Please ring the doorbell

Cost:

Free

Website and registration:

Register for this course

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, ICT and Software, Research Management and Impact, Research Skills, Communication and Dissemination


Related publications and presentations from our eprints archive:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
ICT and Software
Research Management and Impact
Research Skills, Communication and Dissemination

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