Joe Skillicorn

  • The selected graph is the best option for representing this data – yes
  • All numbers double-checked – yes
  • Spell check – yes
  • Headline/title – yes
  • Correct units of measurement – yes
  • Y-axis starts at 0 – yes
  • Conscious choice of colours – yes, dark orange stands out
  • Source – yes
  • Instructions for use (if the graph is interactive) – yes
  • Context or explanation – Notes supply information
  • Byline – yes
  • Accessibility – yes
  • Understandable for someone who sees the visualization for the first time – yes
  • (show it to someone outside the newsroom) – yes
  • The visualization checked on a mobile device – yes

Description of Choices- I made sure to choose a colour that stood out against the background. I also made sure both the title was clear with what the graph was stating. On top of this, I added a description and notes in order to give further information to the viewer.

  • The selected graph is the best option for representing this data – yes
  • All numbers double-checked – yes
  • Spell check – yes
  • Headline/title – yes
  • Correct units of measurement – yes
  • Y-axis starts at 0 – yes
  • Conscious choice of colours – yes, I chose a different colour to represent each country
  • Source – yes
  • Instructions for use (if the graph is interactive) – yes
  • Context or explanation – Notes supply information
  • Byline – yes
  • Accessibility – yes
  • Understandable for someone who sees the visualization for the first time – yes
  • (show it to someone outside the newsroom) – yes
  • The visualization checked on a mobile device – yes

Description of choices- I made sure to choose a different colour to represent each nation. This may make it easier for some viewers to identify the results of the chart. I also made sure the title specified that this chat was relating to the amount of active reactors currently operating, as opposed to the first line graph posted.

Answer the following questions. Write the answers in your post.
Keep the questions in mind, as they will serve as a helpful guide for you in the future:

  • Have you followed the checklist for visualizations (every step)? Yes
  • Colours: How easy or difficult is changing colours using the tool? Very easy
  • Text/Labels: How easy or difficult is it to work with text and labels in the tool? Very easy- data wrapper is easy to navigate.
  • Flexibility: How flexible are the tools? Can you make the changes you need? Yes- however, for larger numbers, the tool may be more challenging.
  • Accessibility: What are the different accessibility options provided by the tools? Screenreader, labels and contrast.
  • Smartphone: How do the charts appear on your smartphone? Have you faced any issues while accessing them? The charts works on a smartphone.
  • Have you followed the checklist for visualizations (every step)? Yes
  • Colours: How easy or difficult is changing colours using the tool? Easy once the colour tab is open. However, it was tricky to find the tab to change each individual chart.
  • Text/Labels: How easy or difficult is it to work with text and labels in the tool? It is easy to work with both.
  • Flexibility: How flexible are the tools? Can you make the changes you need? Once you have got to grips with the tool, it is fairly easy. However, in my opinion, it is not as easy as data wrapper.
  • Accessibility: What are the different accessibility options provided by the tools? This tool also has a screenreader for visually impaired people. I have also included this in the charts.
  • Smartphone: How do the charts appear on your smartphone? Have you faced any issues while accessing them? The charts can be accessed via smartphone. However, the charts are more difficult to read with this tool, along with the data being smaller and harder to read.

In what context do you think Datawrapper is the best tool, and why? When would you not use it?In my opinion, datawrapper is an easier tool to use than flourish. Therefore, I believe datawrapper to be the most effective tool at making visualisations.

What are the main benefits of using Datawrapper? Datawrapper is simple and easy to use. Despite having not used datawrapper before, it did not take long to understand how to create graphs and charts, purely through being self taught. It also has a wide range of features that are available for the creator to use.

In what context do you think Flourish is the best tool, and why?  When would you not use it? Flourish may be easier to work with more complex data sets. While it can be difficult to navigate at first, it has more features than data wrapper and may be seen as a more creative tool.

What are the main benefits of using Flourish?

Being able to import large data sets. Flourish also has has a wide variety of templates to choose from where data can also be copied and pasted into.

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