Storytelling

Question 1

Data visualisation decluttering best practices

Answer 1

• Enough white space
• Remove borders, gridlines, axes and/or data markers when applicable
• Clean up axis when applicable
• Label data directly
• Use special effects sparingly

Question 2

Using text in visualisations

Answer 2

• Label axes, titles and important data points for clarity
• Provide useful context in the title or subtitle
• Adjust font size when highlighting specific messages
• Try to answer common audience questions with labels

Question 3

Three common types of colour palettes in data visualisation

Answer 3

• Qualitative: use hue (range of colours) to distinguish unordered categories
• Sequential: use chroma (intensity of colour) or luminance (brightness of colour) to showcase the intensity of a single variable
• Diverging: use chroma or luminance with two hues to compare between two groups

Question 4

Best practices to avoid misleading with data stories

Answer 4

• Adjust time horizons to visualise time series data
• Adjust axes to zero if the relative size of the value is important
• Adjust axes scales to data
• Ensure the sample is representative
• Use mean or median to provide context

Question 5

Data storytelling

Answer 5

Crafting a narrative around the data to make a decision or inspire action:
Context + Narrative + Data Visualisation