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Peer_review_cb #5

@cbachu92

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@cbachu92

Hi Michelle,

Your data cleaning file is great as I was able to follow from beginning to end understanding your thought process as if you were explaining it to me. The use of the % NULLs graph as well as the heat maps made this super clear. While it is clear what you're categorizing, I'm less sure of what the CRI represents--does its calculation take into consideration any of the features that you have in your dataframe-- if so, is there any redundancy? Is the CRI a representation of the school or student? These are just some points you may want to elaborate on in your final presentation. Your coding implementation was impressively neat and efficient! I was going to recommend the use of LR but I saw it on your to do list. Nice work.

Cody

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