Infographics & Data visualisation

Schedule:

  • M: 10.00 – 10.15 Media Team Editorial Meeting

  • M: 10.15 – 12.30 Critiquing and reviewing video assignments

  • M: 13.30 – 17.00 Introduction to Infographics 1 & In-Class Assignment

  • T: 10.00 – 12.30 Introduction to Infographics 2 & In-Class Assignment 

  • T: 13.30 – 16.30 Introduction to Infographics 2 continued

  • T: 14.45 – 16.30 Setting Assignment + Questions + Resources

  • T: 16.30 – 19.00 Theory Lecture:

    Wed – Fri. Assignment, Edit, and Upload Assignment, Reading & Self Study

Assignment 1 – Deadline: SUNDAY 5th NOVEMBER at midnight.

Firstly, you will need to spend some time doing the readings here on the page – it’s clear from assignments who is and who isn’t doing readings.

Make an infographic about CLIMATE CHANGE or SINGLES DAY

You must create a pictorial infographic visualizing information or data, explaining key aspects of the issue. (You must include 1-2 charts into your pictorial infographic)

  • Choice 1 — Climate Change
  • Choice 2 — Singles Day

You must plan your time to include research time for reading and researching the issue, locating reliable data sources and verifying data.

Your infographic MUST have the following: a title, subtitle, clear message in the visuals, visible statistics and source referenced.

Embed your work on your digital platform. Be sure you attribute your sources in an appropriate way.


Session Preparation – Pre-reading / watching

You do not need to do any pre-reading for this week’s Practical module, as the video week is quite a challenging week, leaving you little time for pre-reading. 

Assignment Guidelines

First off, spend a few hours playing with 3 or 4 of the tools in class. Then think about the story you want to tell. Research, (this should take 3 to 4 hours minimum). Find some reliable data and think about the best way to visualize it. Make sure you choose a suitable form. Spend the second day visualizing the data and perfecting things.

Want to see some Chinese examples of data visualization – look around some of the links here – Data journalism in China

Sometimes graphics supplement or enhance a story, sometimes they can tell an entire story. For your assignment this week — you should think about telling a story with your graphics, in other words, graphics should be the central media – whether animated or static. Very often, graphics need some context, so don’t hesitate to include a paragraph or two of text or a voiceover if you see fit. 


Class Notes

You can find this week’s PPT here – Infographics PPT

Infographics & Data Visualisation

This is not a comprehensive software tutorial. We will take a peek at some of the software you might use to create some simple graphics. More importantly, we’ll think about when, why and how you might incorporate and visualize data to better tell your story. There are a ton of simple online tools you can try out on this page. Read through and try some out if you want more options than those given in class.


What is Data Visualization?

3. Maps

6. Plugins

Plugins are another option too. I inserted some Free Infographics for Final Cut Pro X – from Data Pop into this explainer video. https://vimeo.com/160273341

7. Illustrated Graphics

See this example from Carrie Ching


News organizations using infographics, data visualization and data-driven journalism

 
  • Odyssey.js — https://cartodb.github.io/odyssey.js — I am yet to try this, it doesn’t look as easy as some others, but also not rocket science — would be a great one to try out over Christmas holidays!
  • You can’t get more comprehensive than the journalist’s toolbox – It’s a long long list but great to poke around and see what takes your interest. http://www.journaliststoolbox.org/archive/2015/10/online-journalism.html
  • Here’s another collection of resources from charting and graphing to data handling, mapping, and even programming tools. http://www.visualisingdata.com/resources/20 resources for
  • If you want to take things further I’d recommend this online book: Welcome — The Data Journalism Handbook Using data to improve the news.datajournalismhandbook.org

Infographics & Data Visualisation gone bad part 2

  • If numbers are used poorly they do more harm than good — creating more confusion than clarity. There has been an explosion of data journalism and while much of it is good there has also been some very poor examples too. We’ll view some examples of good and bad practice in class, but here are some to get you going by ALBERTO CAIRO, a fantastic data journalist. To do data-driven journalism well, you need solid math and statistics knowledge. If data-driven journalism really appeals to you, and want to try a data-driven story — please do negotiate with us and we’ll try to support you. Bear in mind few journalism schools teach comprehensive data journalism, and it is a skill that’s highly in demand – so you’ll be investing in learning by doing. 
  • Here is a brilliant podcast about statistics that went viral in 2013 — the stats reported that almost a quarter of men in some Asian countries admit rape — figures from the UN and published in the Lancet, should mean highly reliable statistics, but things still go wrong. Are the numbers of rapists really this high? Tim Harford and Ruth Alexander look into the detail of the study. And, “Africa has a drinking problem” — so says Time Magazine. More or Less discovers a more mixed picture. This programme was first broadcast on the BBC World Service. http://podbay.fm/show/267300884/e/1379116800?autostart=1

Learning Outcomes


  • *NOTE, this class is not about teaching you the intricacies of each and every data tool. That’s something students will need to explore independently. Rather we guide you to a variety of the ones we think are useful and easy to grasp with some practice. You will need to use the google to find tutorials.
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