Other programs in applied maths & informatics Information for Foreign Students |
InfoVis projectGoalProduce an interactive visualization that allows the exploration of the data set or that conveys interesting information about the dataset that you have chosen. InstructionsYou are expected to:
Tentative ScheduleEach bold entry is an assignment, and as such should be send by email at blanch@imag.fr.
DatasetsThe datasets from previous years are available in the archived pages for the project (note that instructions in those pages may differ from instructions for this year, please follow this year instructions) :
Note that past datasets embed versions of the d3.js library that may not be compatible with the current version. QuestionsInterrogations about the data set can belong to different main categories. Below are some sample questions, you will have to expand this list with your own questions:
Visualisation designChoose 2 questions, one about global insights, one about comparing subsets. Propose visualisations to answer those questions. If the questions are linked, that can be a single visualisation, provided it allows to first concentrate on global insights, then onto comparison. You will have to provide explicitly, for each visualisation:
Do not limit yourselves to what you would be able to implement. For this part, consider you will have a staff of engineers working for you, and you just have to give a specification of your visualisations. ImplementationForm groups of 3-4. Select one question per main category. Implement visualisation(s) to answer those questions. It should allow to go from an overview of the dataset to the details that allow to gain insights on the question. It can be a single visualisation, where interaction allows to go from the overview to the details. It can consist in multiple more simple visualisations if needed. You have to code your visualisations. It means that given the dataset and your code, I should be able to run your visualisation on my computer. You can use javascript/d3 (+ other libraries), python (+dependencies if they are available in pypi), R … You can use jupyter notebooks, RStudio. If the tool you are planning to use is not explicitly in this list, you have to ask if you can use it. You are expected to deliver your work by email at blanch@imag.fr with:
DefensesExpectationsYou are expected to present your visualizations, and to explain how they help answer the questions you choose to investigate. You are expected to justify the design choices for the visualizations, i.e., why is the visual mapping you choose pertinent given the data at hand and the insights you are looking to find. You are expected to send by email at blanch@imag.fr the material used for the defense. Defenses schedule
Past projects
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