TASK 1A: Line Chart on Nuclear Reactors by Datawrapper
The line chart above presents: "Number of operational nuclear reactors worldwide from 1954 to 2021". There are diamond shapes in the start- and in the end of the line chart to make it more clear. In addition, I chose to highlight the area below the line so it is easier for the eyes of the reader as well. In the paragraph above the chart, I borrowed the description provided from the data set to clarify for the reader more in details what the chart is informing. While the X-axis is presenting the number of years; the Y-axis is presenting the numbers of Nuclear Reactors. When you hover over the line, you will see amount of nuclear reactors in relation to year and exact date.
Checklist – visualizations
Make sure all the following is included/correct
in every visualization:
All numbers double checked: DONE
Headline/title: DONE
Spell check: DONE
Axis and legend titles (If possible. Otherwise described in caption): DONE
Units: DONE
Y-axis starts at 0: DONE
Conscious choice of colors – (explained on request): DONE
Source: DONE
Instructions for use (when needed): DONE
Context or explanation (when needed):DONE
Byline: DONE
Accessibility (contrast, caption for screen readers, attached table etc)
(explained on request)
Understandable for someone who sees the visualization for the first time
(show it to someone outside the newsroom)
Url with the visualization checked on a mobile device: DONE
TASK 1B: Column Chart on the ten countries with highest amount of Nuclear Reactors by Datawrapper
The column chart presents the ten countries with the highest amount of Nuclear Reactors. The data derived from Power Reactors Information System, presented in IAEA along with the electrical capacity. The data presents 32 countries. I chose only the first ten with the highest amount of Nuclear Reactors as I found it more interesting to look at. On the columns, I chose to add 'show values - always' to make it easier for the reader to see right away the amount of Nuclear Reactors on each column for every country.
Checklist – visualizations
Make sure all the following is included/correct
in every visualization:
All numbers double checked: DONE
Headline/title: DONE
Spell check: DONE
Axis and legend titles (If possible. Otherwise described in caption): DONE
Units: DONE
Y-axis starts at 0: DONE
Conscious choice of colors – (explained on request): DONE
Source: DONE
Instructions for use (when needed): DONE
Context or explanation (when needed):DONE
Byline: DONE
Accessibility (contrast, caption for screen readers, attached table etc)
(explained on request)
Understandable for someone who sees the visualization for the first time
(show it to someone outside the newsroom)
Url with the visualization checked on a mobile device: DONE
TASK: 2A:a Line Chart by Infogram
TASK: 2A:b Column Chart on the ten countries with highest amount of Nuclear Reactors by Infogram
TASK 2B:a Line Chart by Flourish
TASK 2B:b Column Chart on the ten countries with highest amount of Nuclear Reactors by Flourish
When you hover over the line chart, you will see detailed information on the amount of operational nuclear reactors on the Y-axis, in relation to the years, on the X-axis.
TASK 2C: Questions & reflections of online tools:
- Smartphone: How do the charts from the different tools appear on your smartphone? Are there any problems?
- The charts do show up as in the computer. However, some of them took a little longer than others to appear on the screen. They look very clear. The only difference I see, is that they appear a little elongated. - Colours: How easy/difficult is it to change colours with the different tools?
- I enjoyed exploring different functions, and adjusting/changing colours in all three online tools. They were very easy to follow. Some functions was a little harder to find than others. Such as, the byline in Flourish and Infogram (I didn't manage to find it still in Infogram). But other than that, it was a very good practice/hands on work. - Text/labels: How easy/difficult is it to work with text/labels in the different tools?
- I would give the same answer as above. - Flexibility: How flexible are the tools? Can you make the changes you want to do?
- The tools were very flexible. Most of the functions were easy to find, and follow. I really appreciate the Infogram Short Tutorial by Helena Löfving. It was really helpful! 🙂 - Accessibility: Which different options for accessibility do the tools have?
- The accessibility for the tools did provide a lot of options. However, the one I found a bit trickier with access was Infogram.
Conclusion
What are the main benefits of:
- Datawrapper? - Easy to follow, very pedagogical structure, a lot of options, very organised steps for compiling & presenting data in different forms of visulisations.
- Infogram? - That you could adjust the excel data upload in Infogram while working in Infogram. But, hard to follow, less access.
- Flourish? - Easy access, very simple & clear structure.
Which one of the tools do YOU prefer, so far? - Datawrapper!
GEOVISUALISATION & MAPS
TASK 1A: Locations on three museums in Gothenburg, presented by Datawrapper.
TASK 1B: Dataset with powerplants in the world.
TASK 2A: Maps with Polygons (Choropleth maps by Datawrapper)
TASK 2B
TASK 2C
2D: Maps/smartphone
Open the site (MIJ22) in your smartphone. Look at all the maps you have published:
Are the ok? Can you see the tooltips for example? Is there anything you have to change?
- They are okay. A little slow to show when opening in the phone screen.
Describe your experience and how you solved the problems (if there were any) in your post at the website.
- It was a learning curve each step of the way. It was a bit tricky with 1B. The data was cleaned but looked 'messy' when presented in the start. The symbols of locations were too big. But with some help from friendly colleagues, I managed to present more eye-friendly maps. 🙂