Start by making initial observations of the data. What types of variables are present? Is there anything that catches your eye? A good analyst checks the data carefully. Se

SCM 200 Project 1

The Lending Club is a lending company based on San Franscisco, CA. They connect borrowers with investors through an online marketplace. They have provided a publicly available data from 2007-2011. https://www.lendingclub.com/info/download-data.act…

See the data with its data dictionary (This is in another separate excel sheet which explains what all the variables mean). You just got an interview as an analyst for the Lending Club. The client wants you to analyze this big amount of information.

Start by making initial observations of the data. What types of variables are present? Is there anything that catches your eye? A good analyst checks the data carefully. See the Quartz Guide to Bad Data on our slides.

Use at least two ways to summarize the qualitative data present in the data set with frequency distributions and the various graphs/charts we have used in the class for Chapter 2.

Do the same thing with the quantitative data present. These four ways should be different aspects from the data set. Interpret your results.

Pick two of the above graphs you chose and describe the shape of those distributions.

Why did you use the certain graphs you did? Are there any benefits over the other?

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