Articles in the SQL category

  1. Analyzing the Consumer Complaints Database with Python, SQL and Plotly

    The consumer complaints database provided by the Bureau of Consumer Financial Protection, can be downloaded as a 190mb csv file.

    Although the csv file is not large relative to other available datasets that can exceed many gigabytes in size, it still provides good motivation for aggregating the data using SQL and outputting into a Pandas DataFrame. This can all be done conveniently with Pandas's iotools

    Tagged as : Python SQL Plotly

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