Lesson Outline 
Correlation Using the R Statistical Package  Part 2: Data Preparation
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Methodology and the Computational Approach
Now that we understand the experiment and the raw data collected, let's take a look at the methodology, which is our approach to handling the computing and data analysis. We will look at this at a high level, a general overview. Watch the next video as Ashu talks about the cycle of data analysis. Using our case study, he will describe in general terms the tasks of: 1) filtering and reducing, 2) sorting and transposing, and 3) calculating the correlation.
Now lets simplify the problem to define a computational approach  we will be looking at a smaller subset of data to help us develop the R codes. Looking at just a portion of the data makes it easy to follow the steps as we develop the R codes. ** Note it will be beneficial to print the slides of the following video and follow them along. There are additional slides i.e. slides 4 through 8 which will be useful to understand and visualize the Program Flow. It is highly recommended that you refer to slides 4 through 8 when the speaker is explaining the Program Flow. You may also benefit from occasionally pausing the video while you are referring to the slides 4 through 8.

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