A.)
The selected graph is the best option for representing this data.
All numbers are double-checked.
The spelling has been checked.
The headline/title is included.
The units of measurement are correct.
A description of what the x- and y-axis represent is present.
Y-axis starts at 0.
The conscious choice of colors is explained.
The source is shown.
A context or explanation is provided.
A byline is included.
Annotations are present to explain the chart.
The chart is understandable for someone who sees the visualization for the first time.
The visualization has been checked and is appropriate for mobile device viewing.
Short description: The chart shows the number of operational nuclear reactors worldwide from 1954 to 2023. The annotations show major events that have contributed to changes in the number. The chart is easy to read and is laid out well using Datawrapper. The choice of color is red due to its visibility and neutral connotations. The source and chart are available for viewing on a mobile device.
B.)
Short description: This chart is appropriate for the information that it represents. It is interactive and appropriate instructions are provided in the notes. The color chosen in light blue so as to remain neutral. Sources and byline are provided and the charts can be viewed on a mobile device.
C.)
- Have you followed the checklist for visualizations (every step)? Yes
- Colors: How easy or difficult is changing colors using the tool? Very easy once it was known where to look.
- Text/Labels: How easy or difficult is it to work with text and labels in the tool? It took a little while to get used to it but it was fine once I got used to it.
- Flexibility: How flexible are the tools? Can you make the changes you need? I found it very easy to make the appropriate changes in Datawrapper and it was indeed very easy to use.
- Accessibility: What are the different accessibility options provided by the tools? Annotations, highlights, notes, and availability of different charts.
- Smartphone: How do the charts appear on your smartphone? Have you faced any issues while accessing them? They appear well and are easy to read.
Assignment 2:
a.)
b.)
c.)
- Have you followed the checklist for visualizations (every step)? Yes
- Colors: How easy or difficult is changing colors using the tool? I found it easier than Datawrapper.
- Text/Labels: How easy or difficult is it to work with text and labels in the tool? Very easy.
- Flexibility: How flexible are the tools? Can you make the changes you need? I found the tools a lot more straightforward than in Datawrapper.
- Accessibility: What are the different accessibility options provided by the tools? Annotations, highlights, notes, and availability of different charts just like in Datawrapper were great.
- Smartphone: How do the charts appear on your smartphone? Have you faced any issues while accessing them? They appear well and are easy to read.
Assignment 3
- In what context do you think Datawrapper is the best tool, and why? When would you not use it? I believe that Datawrapper is better to use when creating journalistic articles because its format and style look and present itself as more professional when handling data in its charts. I would only choose not to use it if I wanted to convey a more human and less serious tone to my readers.
- What are the main benefits of using Datawrapper? It is easy to use and its format is very to the point. It has all that is required to create a good data chart.
- In what context do you think Flourish is the best tool, and why? When would you not use it? Flourish has a chart format that is a lot easier on the eyes and appears more friendly to the reader. However, its importing data systems are not so robust and I would not use it when handling more complex and larger quantities of data.
- What are the main benefits of using Flourish? I would say, is a lighter style of presenting charts to the reader when dealing with a less complex dataset.
- Which of the tools do you personally prefer so far? I prefer Datawrapper because it is easy to use, it creates very professional-looking charts, and has a more robust handling of data software.