Feedback

Group Quirky Dust

Hi!! I was in charge to provide the feedback for the group called Quirky Dust. First, I found that the group made great work, trying to explain the process they followed not only in the Miro but also in their blog, this order was important to understand how was the flow and why you reach your final selections.

Second, like you said using your migration data you can have skewed results, for example, in my country we have one of the longest intern conflicts in the world(more than 50 years), we have more than 8 millions victims due to this conflict, most of the victims lived in rural areas and for example, the majority of the migration has been in the same country, just a small group has had the chance to move to another country. So, maybe my first suggestion could be that you can moderate the question focusing just on the target population that you find in your LinkedIn data (skilled workers).

Third, I know that sketches are that just sketches, nevertheless I checked all your miro board and I find it hard to understand some of your ideas, the calligraphy in some cases was hard to understand so I could not follow your idea.

Fourth, the way you organize your ideas in the explore moment helped to classify your sketches, in particular, I agree with you that the clustering option was more useful than grouping per visual encoding.

Fifth, I am not sure if one of the sketches included (as I said due to the calligraphy I did not understand everything), but could be interesting for example in the bubble plot visualize the proportion of migration per Industry for example.

You can find the blog that I’ve talked about in this link: https://medium.com/quirky-dust

Group Truthseekers4

The next review is about the group Truthseekers4, I must say from the moment I opened the blog I liked the design itself because it is attractive and catches the attention of the reader. I also felt really excited about the topic since all of us are in the Data Science field, then is quite interesting to see how the satisfaction in a data scientist job can be measured and represented through Data Visualization, moreover, it could be an amazing guide or tool to know what expect when the moment of applying to job opportunities arrives.

In addition, I agree with the group in the Data Description blog that there are a lot of possible analyses to make having this survey before the current and unexpected crisis of COVID-19, and also during it. However, I have just one comment on that because I didn’t see in your miro dashboard a plan that includes the pandemic situation in your design process, then, if maybe this idea is not going anymore because of some specific factors that you evaluated or something like that, it would be great to have storytelling to tell the reader about what happened with this purpose. In case the idea of making an analysis taking into account COVID-19 is still going forward, it would be nice to highlight it in the sketches blog and in miro.

On the other hand, it is quite awesome to see your workflow because I read it and I returned to my previous job working with agile methodology, and I can ensure that it works completely fine to develop any project. The organization showing from scratch to design made in Tableau is great, it gave me ideas to improve our design process, so thanks for that.

Finally, I feel is quite challenging the visualization process just having categorical variables, so if maybe there is a chance to include a complementary dataset or additional indicators, it could broad the scope of the project. For instance, I find it is quite interesting to take into account not just technical and programming skills in a data scientist, but also business knowledge. I am not sure if the survey contemplates that kind of question, but having expertise in the business field could influence the satisfaction of working as a data scientist.

You can find the blog that I’ve talked about in this link: https://medium.com/@truthseekers4

Group Data Wizads

I follow your blog because I am interested on the topics you are dealing with. I believe that every one has to be informed about political freedom because an ignorant society is doomed to fail. Your work so far is very good and your ideas make me more curious. However, I have some comments to do on your blog as well as on your Miro board. Take a look bellow.

This visualization looks interesting but to be honest I do not understand the values it is made of. Therefore, it might be a good idea to explain the variables and the escalated value more precisely.

While watching at the converge section, I realise that there is not a graph that answers to the first question. To overview the evolution of the freedom around the world through the years, we need a graph with a time variable included. Hence, I think that a visualization you sketched on the diverge section should be a part of your illustration on your blog.

I totally agree with the following ideas:

I found the idea with the map and the pop up values very interesting. First of all, we can see the freedom distribution around the world according to the colour scale as well as further information about socio-economic measurements in each country. To my mind, when a dataset consists of geographical data, a map-illustration is necessary.

It is not so clear what the colours of the lines represent on the graph with ratings and vaccine brands. If they represent the continents, or even better the regions, then it is a very good idea. We may observe some regional favourites always related to the rating, that is the main value of the data set.

Overall, the blog promises interesting illustrations and the Miro board seams to be made by creative scientists. I am looking forward to seeing the real graphs and the rest of your ideas!

You can find the blog that I’ve talked about in this link: https://datawizards-kuleuven.medium.com/first-visual-designs-exploring-our-design-space-6d8070c0d480

Group Data Sheep

I found the subject of this project extremely interesting since it’s an issue that concerns us all and could be helpful in avoiding conflicts in the future.

Here are my comments on the blog and the miro board:

• I appreciated the fact that the team used two datasets in order to have more information and a more complete view of the issue at hand.
• The blog was very easy to follow and it had sufficient information for every idea/visualization which I think was extremely helpful for an ‘outsider’ that was reading it.
• I really liked the mind map on the miro board which gives a preview of your process!

• I found the miro board lacking necessary information in relation to the subject and the blog. I had a hard time understanding what the visualizations where trying to show. Perhaps the team should add some post it notes next to the visualizations and give some information/explanaition about them. It is something that they have already done on the last part of emerge and it was very helpful.
• Another small issue I found is that in my opinion, most of the visualizations are not very creative and are ver similar to what we see often as data scientists. Especially when it comes to the description of the dataset as can be seen in the following picture:

All in all I believe the team has shown a lot of effort and the subject is great!