IS428 Visual Analytics for Business Intelligence
Version 1.12.0
Last updated: 10/09/2019, 11:00pm
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Image from Playfair’s Commercial and Political Atlas (1786) representing imports and exports of England from 1700 to 1782 via a line plot. The yellow line on the bottom shows imports into England and the red line at the top exports from England. Color shading is added between the lines to indicate positive (light blue) and negative (red; around 1781) overall balances.
Source: Playfair and Corry (1786).
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Information rich chart of William Playfair that depicts the weekly wages of a good mechanic (line plot at the bottom), the price of a quarter of wheat (bar graph in the center), as well as historical context (timeline at the top) over a time period of more than 250 years.
Source: Playfair (1821).
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Bump Chart shows rank of the most populous cities at each census: 1790-1890
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Record of the Weather in New York City for December, 1912. The bold line indicates temperature in degrees Fahrenheit. The light solid line shows wind velocity in miles per hour. The dotted line depicts relative humidity in percentage from readings taken at 8 a.m. and 8 p.m. Arrows portray the prevailing direction of the wind. Initials at the base of the chart show the weather conditions as follows: S, clear; PC, partly cloudy; C, cloudy; R, rain; Sn, snow.
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Phillips curve. Unemployment rate (horizontal axis) is plotted against inflation rate (vertical axis). Each point in the plot corresponds to one year and is labeled accordingly. The markers of subsequent years are linked to create a visual trace of time.
Source: Adapted from Tufte
(1997, p. 60).
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge I: Visualising Change between Two Points in Time
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge I: Visualising Change between Two Points in Time
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge II: Visualising cyclical patterns
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge II: Visualising cyclical patterns
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge II: Visualising cyclical patterns
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge III: Visualising massive time-series data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge III: Visualising massive time-series data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge III: Visualising massive time-series data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge IV: Visualising distribution over time
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge IV: Visualising distribution over time
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge V: Part-Whole relationship
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge V: Part-Whole relationship
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge V: Part-Whole relationship
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge V: Part-Whole relationship
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge V: Part-Whole relationship
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Challenge V: Part-Whole relationship
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Alternative Time-series Data Visualisation Techniques
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Alternative Time-series Data Visualisation Techniques
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Highlighting
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Filtering
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Slider
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Pointing
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Animated ternary chart
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Animated bubble plot (motion chart)
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Animat star plot
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Real-time horizon graph
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
Aggregate to various time interval.
Viewing time periods in context.
Grouping related time intervals.
Using related time intervals.
Using running averages to enhance perception of high-level patterns.
Omitting missing values from a display.
Optimising a graph’s aspect ratio.
Using logarithm scales to compare rates of change.
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-series Data
IS428 Visual Analytics for Business Intelligence
Lesson 4: Visualising and Analysing Time-Oriented Data