Packed Bubbles Chart Shows The Average Gwh 2014 For Countries

Theodoulos_Christou · February 18, 2020, 5:54pm

Hello,
I study Computer Science at Swansea University which now I am in the 3rd Final Year Of Bsc. I chose the Data Visualisation Course and I have to Visualize data for global Plants. Below you will find one of my visualisations figure and I would appreciate if you add your comments, opinions.

Thanks in Advance.

Description Template:

Image:

Visual Design Type : Packed Bubbles

Name Of Tool: Tableau

Country: AUS,EGY,GHA,IND,RUS,USA,ZAF

Year: 2014

Visual Mappings:
colour: Colour is based on the Countries.
shape: shape is based on the Average Gwh 2014.
size: size is based on the Average Gwh 2014 For Each Country.

Unique Observation:
This visualisation figure shows the Average Gwh 2014 For The Countries.
e.g.: Russia has the highest Average Gwh in 2014 and ZAF
has the lowest Average Gwh in 2014.

Data Preparation: Convert the CSV File to XLSX File.

Source: http://datasets.wri.org/dataset/globalpowerplantdatabase

Question:
Does my visual design make sense?
Is my choice of colour map optimal?
Should I add more information for this specific Visualisation Figure?

KleanthisLiontis · February 18, 2020, 6:12pm

Hey there, if you are just trying to show the average production of each country I think the packed bubbles design is good enough although you could probably also used a heat map.

ThomasTasioulis · February 18, 2020, 9:52pm

I will agree with @KleanthisLiontis. The colour is a visual encoding that could be used to enhance the information which you convey in the chart (i.e. try to put something inside). Moreover, I would have used the country_long dimension for the labeling due to the “code names” could be misleading sometimes.

efraim · February 22, 2020, 7:34pm

Hello man,

The visual design type that you chose is really nice to visualise your data however I will suggest you to show the average for all the primary fuels in each country. It will be more understandable by anyone and also i will agree with @ThomasTasioulis to change the country to country_long. Also try to separate your data by using the size with the attribute that you want to show.

Theodoulos_Christou · February 23, 2020, 2:00pm

Thanks a lot for the responses and your opinions guys I tried to improve the visualisation design as you mentioned me with all the related information