Real-world data rarely comes clean. Using Python and its libraries, you will gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it. This is called data wrangling. You will document your wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python (and its libraries) and/or SQL.
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Gathering data from variety of sources and in variety of formats, assessing its quality and tidiness, then cleaning it. Followed by the wrangling efforts through analyses and visualizations.
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Usama-Tariq/Udacity_Wrangle-and-Analyze-Data_Project-4_DAND
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Gathering data from variety of sources and in variety of formats, assessing its quality and tidiness, then cleaning it. Followed by the wrangling efforts through analyses and visualizations.
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