Difference between revisions of "Homework 4"
From Protein Prediction 2 Winter Semester 2014
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# Understand the current implementation of the function runvis() in vis.js. What does it do? How does the code handles d3 entry, update and exit? |
# Understand the current implementation of the function runvis() in vis.js. What does it do? How does the code handles d3 entry, update and exit? |
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# Replace this code with your own ideas (for example: posts and scores can be represented as barchart which automatically updates itself) and present those in our next calss on Nov 14th. |
# Replace this code with your own ideas (for example: posts and scores can be represented as barchart which automatically updates itself) and present those in our next calss on Nov 14th. |
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+ | # Publish your results to [https://help.github.com/articles/creating-project-pages-manually/ Github pages] (=special branch named gh-pages) |
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+ | # Add your github page to the table below |
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We are looking forward to your ideas! |
We are looking forward to your ideas! |
Revision as of 18:41, 9 November 2014
Due Nov. 13
For this exercise, please fork https://github.com/pp2-ex/homework-3 (More information about git in the next exercise or at try.github.io, or at this successful git branching model)
We provided a live parser for reddit.com for you for this exercise! It fetches and parses every two seconds the 26 highest ranked posts in reddit.com. The data has following attributes:
- id which is a unique id for this post
- title which is the post title
- score which is the current score of this post
- diff which is the current score - the previous score (2 seconds ago)
Currently the standard visualization is listing those entries as SVG text tags in an SVG tag called "redditsvg". The visualization uses d3js. Have a look at http://pp2-ex.github.io/homework-3/
- Your Task till Nov 13
- Understand the current implementation of the function runvis() in vis.js. What does it do? How does the code handles d3 entry, update and exit?
- Replace this code with your own ideas (for example: posts and scores can be represented as barchart which automatically updates itself) and present those in our next calss on Nov 14th.
- Publish your results to Github pages (=special branch named gh-pages)
- Add your github page to the table below
We are looking forward to your ideas!