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Folder: data-visualisation/🌳-Evergreen
25 items under this folder.
Nov 18, 2023
Adding a regression line helps to see the strength and direction of the underlying relationship
Nov 18, 2023
Bar chart has the ability to deal with longer labels
Nov 18, 2023
Bar charts for time series - the fewer series the better
Nov 18, 2023
Chats don't show numbers - They show relationships
Nov 18, 2023
Comparing things things that did not happen at the same time
Nov 18, 2023
Dealing with extreme values in a dataset by using log scale
Nov 18, 2023
For a magnitude comparison bar charts are generally better than pie charts
Nov 18, 2023
Forecasts allow us to see different pathways into the future
Nov 18, 2023
Histogram can spot multimodal or bimodal distributions
Nov 18, 2023
Maps should be used only when the key relationship being visualised is spatial patterns in data
Nov 18, 2023
Median is robust to outliers
Nov 18, 2023
More complex shapes can present problems in data visualisation context
Nov 18, 2023
Not every magnitude comparison should be a bar chart
Nov 18, 2023
Our visual perception is context-dependent
Nov 18, 2023
Reduce the amount of 'ink' by using just an outline or applying some transparency
Nov 18, 2023
Some magnitude comparison don't need to be visualised
Nov 18, 2023
Sometimes bar charts are not the best option for magnitude comparison - Sun-Pluto Problem
Nov 18, 2023
Spaghetti problem - when visualising too many lines
Nov 18, 2023
Take great care whilst summarising skewed distribution
Nov 18, 2023
The fundamental goal of data visualisations is communication with a mass audience
Nov 18, 2023
The power of charts as objects of mass communication
Nov 18, 2023
To create effective charts, you have to understand how people consume charts
#quote
Nov 18, 2023
Use animation with charts that can't spare an entire axis to time
Nov 18, 2023
Using bar charts for time series data is a technique to be used sparingly
Nov 18, 2023
William Playfair invented line, bar and pie chart