Data Resources

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Coding resources

Awesome Machine Learning: Machine learning links and libraries for many languages
Awesome Awesomeness: A top-level list of great resources, by language and subject matter, for anything you want to make
Meta Fun: Learn GitHub!
Learn at your own pace: Coursera CS, statistics, econ, and social science classes
Learn at your own pace: All EdX classes

Resource	Description	For what you can use it	Where you can find it	Additional software	Tutorials	Notes
Carto DB	Software to display data in maps online	Display data geographically, online, so you can share.	https://cartodb.com/signup	None		Free, save maps online
OpenRefine	Software to clean data easily.	Clean datasets quickly.	http://openrefine.org/download.html	None		Very useful and powerful, need tutorials to learn.
QGIS	Open, free version of Arc GIS for geomapping.	Make cool maps, seem super smart.	http://www.kyngchaos.com/software/qgis	GDAL, Matplotlib (found on the download website)	http://www.qgistutorials.com/en/index.html
Infogr.am	Tool to create interactive inforgraphics	Visual pleasure.	http://infogr.am/	None
Datawrapper	Tool to create embeddable tables.	When you hate Excel.	https://datawrapper.de/	None	http://docs.datawrapper.de/en/tutorial/	Made in Germany (for newspaper journalists), so you know you’re getting the best tables money (free) can buy.

R can be installed from here
RStudio, a really nice “front-end” for programming in R can downloaded from here (If you’re looking to use RStudio, you still need to have base R installed)

Bob Muenchen’s books: R for Stata Users, and R for SAS and SPSS Users
- Also see his website for the books, where there are freely downloadable and very succinct and helpful code snippet translations
- E.g., in the downloads for the Stata book, there are files merge.do and merge.r, which have the many ways to set up a merge in each program’s syntax

Coursera
- R Programming
- Computing for Data Analysis
- Data Analysis
- Note: these are not on demand, but rather have specific start dates
Udacity
- Exploratory Data Using R
EdX
- See “Analytics Edge” as well

If you have a Mac, Python comes on your computer. Open Terminal and type in python.
You can also install Python with an IDLE (a prettier environment for working in the language) here.
You can use either version 2.7.x or version 3.x. However, be aware that some older code may not work in version 3.x, and some newer features will not be available in version 2.7.x. Many developers have both versions on their computers.

Make web pages interactive.
Truly cross-platform (works in same browser across all operating systems), interpreted by your browser.
Events happen, JS reacts (e.g. click, hover).

Comment with // at beginning of line or /* and */
End all executable lines with ;
Variables can hold lots of different things; declare with var
- Dynamic, meaning you can change what kind of thing they hold halfway through a program
- Scope: vars declared within a function are local; vars declared outside of a function are global; vars given to a function as parameters are local
Declare a function with function()
- Spit out something with return keyword
Object with attributes:
- var backpack = {color:”blue flowers”, weight:30, contents:”books”}
Arrays can hold objects, variables, functions, other arrays. Wow!