====== Data analysis ======

  * [[notes:urls:dat:nb|from Notebook]]

===== Mixed =====

  * https://aschinchon.wordpress.com/2016/04/18/the-hype-bubble-map-for-dog-breeds/
  * http://datascienceplus.com/identify-describe-plot-and-removing-the-outliers-from-the-dataset/
  * http://datascienceplus.com/strategies-to-speedup-r-code/
  * http://datascienceplus.com/cross-validation-estimating-prediction-error/
  * http://jaehyeon-kim.github.io/2016/04/Boost-SparkR-with-Hive.html
  * http://www.analyticsvidhya.com/blog/2016/04/predict-waiting-time-queuing-theory/
  * http://www.analyticsvidhya.com/blog/2016/05/data-table-data-frame-work-large-data-sets/

  * http://datascienceplus.com/interactive-performance-evaluation-of-binary-classifiers/
  * http://banana-soft.com/w3schools?language=en
  * http://www.r-bloggers.com/ensemble-learning-in-r/
  * http://www.nytimes.com/2016/03/13/opinion/sunday/should-all-research-papers-be-free.html?mwrsm=Facebook&_r=0
  * https://www.dataradar.io/article.php?postID=599
  * http://datascienceacademy.com.br/blog/2016/bibliografia-big-data-e-data-science/
  * http://www.kdnuggets.com/datasets/index.html
  * https://www.linkedin.com/groups/2229532/2229532-6117947775217913857
  * http://datascienceplus.com/r-for-publication-by-page-piccinini/
  * http://datascienceplus.com/data-manipulation-with-dplyr/
  * http://datascienceplus.com/using-the-ggplot2-library-in-r/
  * http://blog.revolutionanalytics.com/2015/03/hadleyverse.html

  * http://ropensci.github.io/plotly/ggplot2/
  * http://www.r-bloggers.com/ggplot2-docs-completely-remade-in-d3-js
  * http://ucanalytics.com/blogs/data-visualization-case-study-banking/
  * http://datascienceplus.com/r-for-publication-by-page-piccinini-lesson-0-introduction-and-set-up/
  * http://datascienceplus.com/integrating-r-with-apache-hadoop/
  * http://datascienceplus.com/r-for-publication-by-page-piccinini-lesson-1-r-basics/
  * http://datascienceplus.com/hierarchical-clustering-in-r/

  * http://www.scimagojr.com/countryrank.php
  * http://flowingdata.com/2016/05/10/who-is-older-and-younger-than-you/
  * https://medium.com/airbnb-engineering/using-r-packages-and-education-to-scale-data-science-at-airbnb-906faa58e12d#.eq63rminh
  * http://airbnb.io/
  * https://github.com/airbnb/javascript
  * https://javascriptweblog.wordpress.com/2010/10/25/understanding-javascript-closures/
  * https://www.linkedin.com/groups/2229532/2229532-6137902828812787716
  * http://www.analyticsvidhya.com/blog/2016/05/ase-studies-10x-faster-using-dynamic-programming/
  * http://www.analyticsvidhya.com/blog/2015/02/7-steps-data-exploration-preparation-building-model-part-2/
  * https://vis.occrp.org/
  * http://www.analyticsvidhya.com/blog/2015/07/dimension-reduction-methods/?utm_content=buffer0b02a&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer
  * https://www.dezyre.com/article/what-are-the-prerequisites-to-learn-data-science/257
  * http://www.statsblogs.com/2016/05/15/bayesian-inference-in-the-abnormal-mind/
  * http://datascienceplus.com/best-packages-for-data-manipulation-in-r/
  * http://www.analyticsvidhya.com/blog/2015/02/7-steps-data-exploration-preparation-building-model-part-2/
  * https://medium.com/airbnb-engineering/using-r-packages-and-education-to-scale-data-science-at-airbnb-906faa58e12d#.dv46ma279