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Performed ETL on data from the Chicago Data Portal. By cleaning then merging the documented business owners data in Chicago with the active business licenses in the city.

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tstenner1/Extract-Transform-Load-Project

 
 

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Project Overview

Extract

-First we made the proper imports in Pandas

-Next we extraced the CVS's into pandas and displayed them

-Merged the two dataframes

-Listed the overall columns

Transform

-Made all the column names same capitalization for synchranization

-From the listed columns we dropped those not needed for our merged dataframe

-Added underscores in place of spaces in names for SQL purposes

-Ensured all D-types matched SQL designations

-Set index to ID

-Created schema for SQL

Load

-Create database connection

-Confirm tables in database

-Load DataFrames into Database


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Performed ETL on data from the Chicago Data Portal. By cleaning then merging the documented business owners data in Chicago with the active business licenses in the city.

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