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Quantitative 
Methods 
for 
Lawyers 
R Boot Camp - Bonus 
Additional Resources 
Data Cleaning 
professor daniel martin kat...
Often you will not 
know in advance 
how to solve your 
problem
Great news is that 
there is amount 
+∞ 
online content 
to help you
http://rseek.org/
When you do not know how to do 
something try your query here 
http://stackoverflow.com/
or iteratively query google until 
you find some documentation
also feel free to poke around 
on Bloggers
Some Additional 
Resources to 
Learn
https://www.datacamp.com/courses/introduction-to-r
http://www.ats.ucla.edu/stat/r/seminars/intro.htm
http://www3.nd.edu/~mclark19/learn/Introduction_to_R.pdf
Data Cleaning / 
Preprocessing is typically a 
very important thing that 
thwarts many inquiries
http://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html
“Cleaning up data to 
the point where you 
can work with it is a 
huge amount of 
work. 
If you’re trying to 
reconcile a ...
http://blog.revolutionanalytics.com/2014/08/data-cleaning-is-a-critical-part-of-the-data-science-process.html
http://101.datascience.community/2013/03/22/r-commands-for-cleaning-data/
https://www.coursera.org/course/getdata
http://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo- 
Introduction_to_data_cleaning_with_R.pdf
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Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Daniel Martin Katz

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Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Daniel Martin Katz

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Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Daniel Martin Katz

  1. 1. Quantitative Methods for Lawyers R Boot Camp - Bonus Additional Resources Data Cleaning professor daniel martin katz computationallegalstudies.com @ computational
  2. 2. Often you will not know in advance how to solve your problem
  3. 3. Great news is that there is amount +∞ online content to help you
  4. 4. http://rseek.org/
  5. 5. When you do not know how to do something try your query here http://stackoverflow.com/
  6. 6. or iteratively query google until you find some documentation
  7. 7. also feel free to poke around on Bloggers
  8. 8. Some Additional Resources to Learn
  9. 9. https://www.datacamp.com/courses/introduction-to-r
  10. 10. http://www.ats.ucla.edu/stat/r/seminars/intro.htm
  11. 11. http://www3.nd.edu/~mclark19/learn/Introduction_to_R.pdf
  12. 12. Data Cleaning / Preprocessing is typically a very important thing that thwarts many inquiries
  13. 13. http://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html
  14. 14. “Cleaning up data to the point where you can work with it is a huge amount of work. If you’re trying to reconcile a lot of sources of data that you don’t control like in this flight search example, it can take 80% of your time.” http://jvns.ca/blog/2014/06/19/machine-learning-isnt-kaggle-competitions/
  15. 15. http://blog.revolutionanalytics.com/2014/08/data-cleaning-is-a-critical-part-of-the-data-science-process.html
  16. 16. http://101.datascience.community/2013/03/22/r-commands-for-cleaning-data/
  17. 17. https://www.coursera.org/course/getdata
  18. 18. http://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo- Introduction_to_data_cleaning_with_R.pdf

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