MODULE 07
Data Visualisation and EDA
A principled approach to charts and exploratory analysis: what to plot, why it works perceptually, and how charts mislead.
9 lessons~4h reading
- 0124 min
The Grammar of Graphics
BeginnerComing soonData, aesthetics, geometries, scales, facets and coordinates as a compositional system.
- 0222 min
Choosing the Right Chart
BeginnerComing soonA decision procedure from question and data type to chart form, and the charts to avoid.
Assumes: The Grammar of Graphics
- 0328 min
Visualising Distributions
BeginnerComing soonHistograms and bin-width sensitivity, KDE, box plots, violin plots, ECDFs and Q–Q plots.
Assumes: Descriptive Statistics
- 0426 min
Visualising Relationships
BeginnerComing soonScatter plots, overplotting remedies, smoothers, residual plots and correlation heatmaps.
Assumes: Visualising Distributions
- 0526 min
Multivariate Visualisation
IntermediateComing soonSmall multiples, pair plots, parallel coordinates, and projecting high-dimensional data to two.
Assumes: Visualising Relationships
- 0624 min
Time Series and Geospatial Charts
IntermediateComing soonLine charts, seasonal plots, calendar heatmaps, choropleths and projection distortion.
Assumes: Visualising Relationships
- 0726 min
Perceptual Principles
IntermediateComing soonPre-attentive attributes, colour scales for sequential/diverging/categorical data, and accessible palettes.
Assumes: The Grammar of Graphics
- 0822 min
How Charts Mislead
BeginnerComing soonTruncated axes, dual axes, area distortion, cherry-picked ranges, and how to audit a chart.
Assumes: Perceptual Principles
- 0932 min
The EDA Workflow
IntermediateComing soonA repeatable exploration checklist from first load to modelling hypotheses, applied to a real dataset.
Assumes: Multivariate Visualisation · Missing Values and Outliers