by Ellen Blackburn | Oct 9, 2018
In Part 1 I showed four ways to represent Likert data, each with varying levels of complexity. Here, I’m going step by step through the most complicated of those views; the slanted bar chart. Within Part 1, I also explained a typical slanted bar chart will often...
by Ellen Blackburn | Oct 9, 2018
Within surveys, a Likert scale allows for standardised and quantitative responses in which answers are scored along a range, often illustrating levels of agreement and disagreement. Survey data can be tricky to make sense of and illustrate. Below are 4 ways in which...
by Ellen Blackburn | Oct 1, 2018
The Pareto principle (or the 80/20 rule) dictates that 80% of the effects come from 20% of the cause. In a typical Pareto chart, values are often represented within a descending bar chart with a cumulative percent of total represented by a concurrent line. An example...
by Ellen Blackburn | Sep 6, 2018
Extract or Live? Extracts Tableau Data Extracts: (tde or hyper) These are snapshots of data optimised for aggregation. These snapshots are loaded into Tableau’s memory to be quickly recalled/queried for visualisation, accordingly, the database isn’t required to build...
by Ellen Blackburn | Aug 22, 2018
This week, Makeover Monday centred around a data set from ACLED which detailed conflict events around the world. Owed to the wealth of data that could be seen spanning across the countries, the various events became difficult to visualise and explore, so I decided to...
