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QS Workshop #1 - Analyzing Your QS Data with R

THANKS TO:
Konstantin Augemberg (MeasuredMe.com) for providing his excellent data set. 

Have you been tracking things about your life for some time but never analyzed the data?

Would you like to be able to take your data, understand it and produce beautiful graphs?

Then this workshop is for you!

We will take a sample QS data set and run through some basic data analysis using the R language so you can go home afterward, do the same with your own data and come back to give an amazing QS Show & Tell!

Prerequisites

1) No previous experience with data analysis or programming is required!

2) But: You will need to set up R beforehand. This is easy, free and shouldn't take more than 15 minutes but it's important to get this done so we don't spend the first 30 minutes getting everyone set up. 

Why R?

- R is open-source. That means totally free and publicly available. 

- It is extremely popular among data scientists and offers a large number of powerful libraries to do all sorts of cool things.

- Once you're comfortable with it, it is very easy and fast to analyze data with R.

Set Up

Required

1) Download and install R (http://mirrors.softliste.de/cran/)

2) (optional) Download and install RStudio (it's a development environment [IDE] for R that makes working with it much more pleasant). (http://www.rstudio.com/ide/)

3) Open R (or RStudio) and in the console type the following two commands

    install.packages('plyr')

    install.packages('ggplot2') 

    We'll be using these two libraries during the workshop. 

If you have trouble with any of this, just come fifteen minutes early and I'll help you get set up.

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  • dmitri k.

    Hello QS people. I was an observer the other night. I would like to start recording data (diabetes relevant) and could really use help figuring out how to structure my spreadsheet.
    Any volunteers out there?
    would be much appreciated.

    February 9, 2014

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