##THE DSR WEEKLY DIGEST:
The Survey 2016 dataset is available!!!
This week we did more work on the Survey 2016 and started working on the final dataset (@erictleung and co.), with reports by @SamAI-Software and me (@evaristoc). Some draft for visualizations in d3.js were also discussed. Because the purpose is using d3.js for the project, we were also collecting references about d3.js: best practices, usual programming patterns, and examples, just to get inspired.
The analyses of the dataset have been carried out using R, but other tools are welcome.
For those with an interest in Machine Learning, @zcassini and other people have been providing links about free-access books and courses about the topic, and discussed things like Support Vector Machines, kaggle, Multivariate Statistics with some mention of Linear as well as Multilinear Algebra.
If you want to contribute with visualizations about the Survey 2016 dataset, please keep checking the repo and this list:
List of Week Contributors: profoundhub, krisgesling, bitgrower, evaristoc, gitdek, QuincyLarson, erictleung, ConfusedRunningGuy, gayathry2612, jinhuaxiao, Evaderei, ddrdushy, emilaasa, SamAI-Software, zcassini, s-marcelle, koustuvsinha, jacobbogers, mmacedoeu.
Some HotWords: mathematics, d3.js, survey, visualizations, respondents, svm, multivariate, packt
###Want to know more about the FCC Data Science Room?
You can explore our Last Week Activities by visiting our most recent Weekly Digest where you will get an idea of main topics, announcements, projects or resources in DS/DM/DA by campers, for campers. You can also find more about previous weeks following the Previous Digest links at each Weekly Digest.
Looking for extended info about projects or resources produced in the Data Science Room? You can definitively find more information in our Tentative Pages (WIP):
Come! Join us or just be curious and check! You will be always welcome!
DSR (DataScience Room) is an effort to gather campers of all levels and specializations willing to engage in discussion, collaboration and practice of data-related projects, with preference for using FCC data.