johann-wagner / DS4B-final-project

Repo for BIOL3207 - Data Science for Biologists - Final Project
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Poster Time! #7

Closed johann-wagner closed 1 year ago

johann-wagner commented 1 year ago

The week 12 workshop will be a poster session. You will submit your work at the end of week 11. I will then get your posters printed. Your poster should: • Be printable in A1 size, portrait layout • Be clear and easy to interpret, even from a distance (e.g. if someone was standing six feet away, could they quickly understand your work? • Be visually appealing • Briefly summarise the dataset (visually is fine) • State the questions/aims clearly • Visually summarise the findings • Concisely state the conclusions • Have references

johann-wagner commented 1 year ago

Please produce a poster in portrait A1 size, and save it as a PDF named: uNumber_poster.pdf, e.g. u12345_poster.pdf. You don’t need to print your poster. We will do that.

One easy way to make a poster is to do it in PowerPoint, by setting the page size to A1 Portrait, and then writing it from there. However, as long as you submit a PDF of the appropriate dimensions, it doesn’t matter how you get there. You can use any tool you like to make it.

Your poster should:

The most important two things to consider with posters are:

They should be simple to understand (i.e. not too busy)

We will have your poster printed in A1 size, so please bear in mind that your graphics will need to be of sufficient resolution to maintain quality when printed at this size.

johann-wagner commented 1 year ago

Hello again @DS4B-ANU and @fredjaya,

I was wondering whether I could have my poster be my RShiny dashboard?

Potential Issues:

Why the dashboard would be suitable/meet the above criteria

I understand that this would be a bit of an exception to the pdf file format rule, but I think the above reasons that I've stated above cover the main purpose of the poster, which in my opinion is ultimately to showcase the analysis/work.

Please let me know what you think and if this can't be achieved, then how we could potentially meet in the middle with a different solution.

Thanks! :)

johann-wagner commented 1 year ago

For reference, this is my first draft of how the dashboard would look like: PXL_20231004_113917898

fredjaya commented 1 year ago

Personally, I would love to see the dashboard (laptop) as part of the presentation, but I don't think it should replace the .pdf entirely. Mainly because (thinking here as a poster session for a conference, in a large hall with another 50-100 posters) only having a small laptop and no poster will detract from people coming over to inspect your work.

See what Rob says first, but what I think could work is either having:

  1. The dashboard being supplementary to the poster - you do the poster as intended in the report outline and have your laptop available for users to play with.

  2. More creatively, have the poster supplementary to the laptop - i.e. the poster serves more as a backdrop for the laptop with clear instructions for users. But this still needs to satisfy the points you made above.

DS4B-ANU commented 1 year ago

Hi @johann-wagner, in this case it's a no. You need a poster just like everyone else. The challenge is to make something good. It won't be too hard, since the dashboard is by nature a visual thing. The rest of the poster needs to explain what it's for, what it does, why it's useful, and give an example.

The reason here is not that it's a bad idea. It's that if we start varying what can be submitted for the different parts of the assignment for one person, then that has to be available for everyone, and then it's an impossible task to grade well, and fairly.

johann-wagner commented 1 year ago

Reminder for Johann:

Poster: A perfect assignment will demonstrate: A well-designed poster which is easy to understand quickly, and from a distance Excellent data visualisations, following the principles of data visualisation Clear, concise text which summarises the work Clearly stated conclusions A link to the github repository for the work All of your work must be your own, but you are encouraged to have your peers help you improve your work. To do this, you should use GitHub issues on your own repo. I.e. you should add your peers as collaborators on your GitHub repo, and have them leave feedback for you via GitHub issues, which you then close off as you complete.