The Greatest Technical Challenge of Our Day… Reading CSVs
By Zach Rubenstein Many data science projects follow the following workflowDefine problem Get data Analyze the data (that may include building predictive models) Report the results of the analysis. Implement results into an operational system The move from step 1 to step 2 is often not trivial. First, the project partner needs to extract data from their systems and encode it so that it can be transferred to us. Second, we need to decode the encoded data into a format that lets us analyze it. It is up to the project partners to decide on an encoding method, and the decoding method depends on how the partner decided to encode the data. With the Diogenes project, we aim to make it easier to perform this decoding step in addition to making it easier…
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