Tags » Data Visualisation

R Shiny - my first web app

My foray into data visualisation starts with R Shiny. This is a web application framework developed by R Studio to harness the full interactive capabilities of the web and data visualisation. 365 more words

Data Visualisation

Week 4: Historical & Contemporary Visualisation Methods (Part 2)

Continuing from last weeks notes, we are going to ask the question, ‘why do we visualise?
We visualise to gain an understanding of complex issues and information.  400 more words


Makeover Monday, week 33 2017: The Timing of Baby Making

In week 11 we looked at the likelihood of orgasms. In week 33 we’re tackling data about the Timing of Baby Making. Maybe it’s a good thing that there is no week 55, who knows what Andy would dig up for us. 408 more words


Lecture 2: Data types- Level of measurement

Data can be measured through 4 different data types. The 4 different data types include nominal, ordinal, interval and ratio.

Nominal- comes from the Latin word ‘nomen’, meaning ‘name’. 243 more words

Week 3 - Visualisation: Historical and Contemporary Visualisation Methods

Data visualisation has been used throughout the course of history to give viewers a tool to analyse and create data comparisons for themselves. One of the core strengths of data visualisation is that it is able to reduce the time required for analysing. 89 more words


Week 2 - Data Types

Nominal Data: relating to names – it is unorganised data which can be sorted under names. An example would be a shopping list and how many items that can be categorised such as frozen, canned, dairy and produce. 302 more words


POD06 - Data Journalism and The Guardian

Part 1: What is Data Journalism?

Data Journalism telling a powerful story through the use of key information sets, key reference to inform a story. It is about processing the right information and asking the right questions. 254 more words

Lecture Pod