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- Adding a regression line helps to see the strength and direction of the underlying relationship
  Bar chart has the ability to deal with longer labels
  Bar charts for time series - the fewer series the better
  Chats don't show numbers - They show relationships
  Comparing things things that did not happen at the same time
  Dealing with extreme values in a dataset by using log scale
  For a magnitude comparison bar charts are generally better than pie charts
  Forecasts allow us to see different pathways into the future
  Histogram can spot multimodal or bimodal distributions
  Maps should be used only when the key relationship being visualised is spatial patterns in data
  Median is robust to outliers
  More complex shapes can present problems in data visualisation context
  Not every magnitude comparison should be a bar chart
  Our visual perception is context-dependent
  Reduce the amount of 'ink' by using just an outline or applying some transparency
  Some magnitude comparison don't need to be visualised
  Sometimes bar charts are not the best option for magnitude comparison - Sun-Pluto Problem
  Spaghetti problem - when visualising too many lines
  Take great care whilst summarising skewed distribution
  The fundamental goal of data visualisations is communication with a mass audience
  The power of charts as objects of mass communication
  To create effective charts, you have to understand how people consume charts
  Use animation with charts that can't spare an entire axis to time
  Using bar charts for time series data is a technique to be used sparingly
  William Playfair invented line, bar and pie chart
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  Our eyes can be attracted to the largest areas that have low density of data
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  ¶ All About Colour - Colour Science
  ¶ Designing for charts
  ¶ Scales of justice - Axes for evils
  ¶ The best charts are well written
  Add some clarity to bring out the patterns in the data
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  FT - The science behind good charts
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  Give some reasonable explanation about why the change you are suggesting is a good reasonable change
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  It is hard to compare multiple pie charts
  Learn to read unfamiliar charts
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  Recognise that classes on a choropleth map function like the 'bin' in a histogram
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  2023-03-09
  2023-03-11
  A design system is about being consistency
  A design system should still be simple enough that people want to use it
  A detailed guide to colours in data visualisation style guides
  Also consider numbers when choosing fonts - tabular numerals aka monospaced numerals
  Also create lighter-darker version for a hue
  Atomic Design by Brad Frost
  Branded colours are not necessarily going to work on data visualisation
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  Financial Times Colour Palette
  Financial Times Origami Design
  Financial Times uses mn as an abbreviation for millions
  Font scales in Data visualisation Style guides
  Form follows function
  FT Brand Guideline
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  FT Printspecification by Nikkei
  Grey for less important data - not too much saturation and should be perceived as grey
  HBR Good Charts
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  How to create a colour scale for an arbitrary main colour by City of London Style Guide
  How to pick colour for game shaderYour Colours Suck (it's not your fault) by Acerola
  HSB and HSL colour system
  HSL - Hue Saturation Lightness
  Hues are almost always defined to be used in a certain order
  Iterate and treat a style guide as a living document
  John Burn-Murdoch
  Make sure that you have some understanding about data. Data Visualisation is rooted in the data.
  Matplotlib figure size unit is inches and default dpi is 100
  Matplotlib font size, line width, marker size unit is point
  Matplotlib scatter s and markersize, s = markersize**2
  Meaningful Typography by Tim Brown
  Multi-hue colour schemes with insufficient lightness contrast are unreadable by colourblind readers
  Note from Economist Style Guide
  OKLab colour space
  Our World in Data renders charts in very high resolution
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  Question - How to create or design a good colour palette?
  Questions in Data Visualisations - Explore Explain
  Spectral Sensitivity of Human Cone Cells
  Style guide - References
  The Economist
  The Economist - top-left red leading tag
  The Economist visual style guide
  The Graphic Continuum by Jonathan Schwabish
  The Physics and Psychology of Colour - with Andrew Hanson
  The title should be the first element you create in the chart-making process
  Titles are accurate and truthful
  Titles make a promise that the graphic delivers on
  Titles should attract attention
  Titles should be simple to understand and stand-alone
  Titles should include keywords
  TODO - Create a new metric from existing data
  Typography unit - Point (pt)
  Unit converter code
  Use different hues to distinguish categories - Categorical colours
  Use variations in lightness to guarantee visual contrast
  Using a few hues for lots of categories can bring problems with accessibility
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  Visual Vocabulary
  Which colours to define for a data visualisation style guide
  Why Your Organization Needs a Data Visualization Style Guide
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  chart template
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Use Part to whole relationship - to show component elements is a single entity

Use Part to whole relationship - to show component elements is a single entity

Nov 18, 2023, 1 min read

Pie charts represent a “part-to-whole” relationship. That is, they show the relative size of multiple elements which, when combined, represent a total entity of some sort.

Smith, Alan. How Charts Work (p. 168). Pearson Education. Kindle Edition.

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Part to Whole
Some simple rules for pies and donuts to prevent chart disasters

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