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  • Anthony and Profile picture of DoroteaDorotea are now friends 1 month, 1 week ago

  • People make a lot of decisions everyday, individually or within a group, personally or at work. Some of them may be trivial and such decisions can be make almost instantly but others require some more thoughtful […]

  • Context
    Who
    People interested in learning more about climate change
    What
    Inform people how they can decrease CO2 emission and impact positively climate change
    How
    Present the energy consumption by fuel type […]

    • Nice message. We can start by changing small things and make a great impact.
      Ok. Honestly this post has a lot of visualisations. Maybe you can think on showing most important and as I mentioned in past comments, keep an eye on the small things to make your story more compelling (e.g. text size, labels, axis from 0) and don’t forget to highlight critical points on your visualisations. For example, in the graph where you showed transportation vs. energy consumption I reckon I couldn’t understand at first glance why bus, train and tram were highlighted. Maybe if you add personal transportation with public transportation and add the critical point, you could help the reader to follow this.
      Nice work. Hope this comments help you to improve your work.
      Best,
      Vanessa

  • Context
    Who
    People interested in learning more about climate change
    What
    Bring more awareness about CO2 emission and its impact on climate change
    How
    Show CO2 emission over the years and explain what are its […]

    • Hi again!
      This a good sequel of the previous post! When I read the first paragraph of this post I saw the part that was missing in the previous post! When you mentioned “In the future it may rise up to 1.2m”, that is the information I was expected to see in the previous visualisations.
      Regarding this story, quick comments: don’t forget to highlight important stuff you want to make the point. Clearly, you are focusing in Australia’s C02 emission, so make emphasis on this. And also, don’t forget the use of colors e.g. You can highlight in red some important feature while the other stuff can remain a grey color. Titles are also important and informative.
      I can’t wait to see what’s next. See you in the next post!

  • Climate change and sea level rise
    Context
    Who
    Anyone who is genuinely interested in climate change and wants to understand more about it and get sense of what is the the current situation.
    What
    Bring […]

    • Hi Anthony!
      This story is really nice and made me think about things that I can do, as a person, to change this trend.
      Particularly, about the data storytelling aspects, don’t forget to add emphasis to your visualizations. Also, pay attention to small details (e.g. text size, colors).
      I could understand both line graphs, but maybe they can be improved if you make more sense about them e.g. for the red straight line, I know there is a trend but, already had that information with the first graph.
      Last visualisation maybe can be improved by overlapping both of them and highlighting critical points where the sea level will have more impact.
      Nice post! keep going!

  • Anthony and Profile picture of JoeyJoey are now friends 5 months, 2 weeks ago

  • Nice post Yogitha! We can really feel you went quite deep with this tool. I would have love to get more insights from your data set.

  • Very good review. It sounds like Qlickview is more a solution to build a data application than just data visualisation.
    This is probably the reason why it is so complicated. It is a very different approach from Tableau indeed. Qlickview seems to focus more on building a robust framework to consume data whereas Tableau wants to help users to…[Read more]

  • Nice job! It is very interesting. It looks like full-time workers tend to be located in metropolitan areas but also in regional areas far from the coast. It would be interesting to map these areas with their main types of jobs and see if there are any pattern there.
    I like the final visualisation. Very nice layout and easy to read.

  • Anthony commented on the post, DVN – Tableau review, on the site Bing's blog 5 months, 3 weeks ago

    Very interesting! I heard a lot about Microstrategy and some people think it is the strongest opponent to Tableau but it seems they are quite there yet.
    Regarding the dataset and the visualisation you built, was it just for a reporting purpose or you wanted to explore and test some hypothesis?

  • Great introduction! I haven’t though about reviewing network visualisation tool. I am very curious about it now.
    It sounds like Gephy is not only for visualising but also for modeling the graphs according to different algorithms. It reminds me my first attempt in playing with the tool called PROM that tries to remodel a business process from logs data.

  • Excellent! I like the way you explore the tool and really think about the readability of the graph. This is really key in data visualisation.

  • This week I reviewed the famous tool Tableau Desktop. I previously used it in few occasions but never explored it in depth.

    In the last few years Tableau has been widely used across corporations employing data […]

    • I have used Tableau few times for data exploration and I have never noticed the three different concepts for a data visualisation project. Thanks for pointing that out, it is actually really interesting.
      Looking at the plot “Number of Crashes by Year” maybe you should consider filter out 2016, as it is not complete and it might give the viewer the idea that there is a massive drop in this year. By doing that you could start your Y axis (Casualty count) at about 10k and we would be able to see the trend better.
      For graph “Number of Crashes by Police Region” you could delete the legend, as you already have that information in the x axis. Same for “Number of Crashes by Police Region and Year”.
      I really like the way you are showing the trends for each casualty severity, but I believe you have pasted this graph twice.

      Overall nice post and great story =)

    • Hi Anthony, great job on the dashboard! The message is pretty clear. I thought your line charts “Crash by Severity” charts, and “Medically Treated Crash by User Type”, could have been better expressed in a line chart, overlaying each line over another, would you agree?

      I can relate to the aggregation feature in Tableau. The default aggregation function used to drive me crazy too when I first started using Tableau and I was in the “too scared to touch” phase. That default behaviour delayed my adoption of Tableau.

    • Some great points around the positives of using Tableau. Having not used Tableau before due to other visualisation tools being purchased at work, it’s interesting to see different use cases used and see some of strengths in action – nice to see how easily different visualisations can be produced quickly which helps discover the story behind the data!

    • Another excellent post providing not only detailed information regarding the use of the tool but also calling out the story that the data and visualisations tell you. You appear to have a quite good rapport for these tools and positive view on the experiment process so it was good to see you call out one of the “gotchas” in regard to use use of the default aggregation methods – I’ve also been caught with this in Tableau in the past.

      I haven’t really got anything to add to what Patricia has already suggested in regard to the line graphs – my own intuition is aligned with hers that I would have liked to see what the line graphs look like with all the lines as separate series on the one graph. Except for the Age Group and Gender chart – I cant think at the moment how that would be any better represented than what you have delivered.

      Great job – thank you.

  • The second tool I chose to review is Power BI from Microsoft. It is currently considered by the Business Intelligence community as the main competitor of Tableau.
    User Experience
    If you already used Microsoft […]

    • So good! you are telling the story in a consistent way! I think that now that you realise that the upward trend comes from 2014, you should try to explore an explicit way for pointing out that.
      The first thing that came to my mind by reading this post is that this powerful tool allows you to create stories like writing a document, you should try to explore how to add narratives to give more emphasis to the main point you’re trying to explain.
      Don’t forget the colors! maybe too much colors cause more cognitive load to the reader.
      I really like this post 🙂

    • Great post Anthony! I like how you are investigating the trends you found in the first graph through more granular visualisations.
      I agree with Vanessa, too many colours can be a bit confusing. Maybe in the last plot you could have aggregate the last three age groups as 70+.
      Just out of curiosity…is it possible to remove the grid-lines?
      Thanks for sharing all the steps of your tool exploration. I haven’t tried Power BI before but I am a heavy user of Excel. Seeing your post made me want to explore this tool as well.

    • I’ve heard a lot about power BI but haven’t used it as of yet, your post definitely makes me want to give it a try. Familiarity is such a huge strength for Microsoft so it’s good to see them make use of it here. There are so many different visualisation tools out there already, each have their own nuances and learning curve to try and get a meaningful output, this tool seems to be a lot easier to grasp for users already familiar with the Microsoft suite (which I think covers nearly every analyst!)

    • Hi Anthony,

      Great post. As usual, you’ve provided a detailed analysis that is both deep and broad, and one moves forward in a logical sequence such that the reader can easily follow your thoughts and conclusions.

      I like the analysis you’ve carried out with your data set and the conclusions and insights that you draw from them. You appear to have found the outcome from your experiment with PowerBI to be a positive one. This seems to be a relatively common response from data professionals with strong technical skills.

      One question I do have about your post is in regard to the execution of the dashboard. Are any of your screenshots actually showing the interactive capabilities of the dashboard in operation and the interaction between the visuals?

      Thanks again for a very informative post.

  • Tam and Profile picture of AnthonyAnthony are now friends 5 months, 3 weeks ago

  • Anthony commented on the post, iLab1: 3 – Part A, on the site Anthony's blog 5 months, 3 weeks ago

    Thanks Sushmita!

  • Anthony commented on the post, iLab1: 3 – Part A, on the site Anthony's blog 5 months, 3 weeks ago

    Except if we acquire them 😉

  • Thanks Bing! My wife definitely deserved all the praise but don’t tell her I said that 🙂

  • Thanks Maricel. Really appreciate your feedback

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