visualization_lecture

Data storytelling and communication

This module focuses on the principles and practices of effective data storytelling and communication, with an emphasis on multivariate visualisation, ethical considerations, and practical coding skills.

1. Principles of data storytelling

• Reading: Data Storytelling: The Essential Data Science Skill Everyone Needs by Brent D
• Link: https://www.forbes.com/sites/brentdykes/2019/04/29/data-storytelling-the-essential-data-science-skill-everyone-needs/
• Activities: Analyze a dataset and create a narrative that highlights key insights using visualisations.

2. Multivariate visualisation techniques

• Lecture + reading: Fundamentals of Data Visualization by Claus O. Wille
• Link: https://clauswilke.com/dataviz/
• Activities: Create multivariate plots (e.g., scatterplot matrices, parallel coordinates) using R or Python.

3. Ethical considerations in data visualization

• Reading: The Ethics of Data Visualization by Alberto Cairo
• Link: https://www.ted.com/talks/alberto_cairo_the_ethics_of_data_visualization
• Activities: Critique visualisations for ethical issues and misleading representations.

4. Practical coding skills for data storytelling

• Tutorials: R (ggplot2, plotly) or Python (matplotlib, seaborn)

• Activities: Hands-on coding sessions to create interactive visualisations and dashboards for storytelling.

• Next: Assignment

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