DATA DIVE DAYS

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The best way to know whether you enjoy working with data — or to learn how to work with data — is to handle many different forms of messy, real-world datasets, i.e. perform the necessary data cleaning and transformations to derive meaningful insights from them. This post shares two sample Jupyter notebooks that demonstrate various data transformation steps to achieve clean data for two different data formats: - JSON output obtained from calling the Developer API of the SingSt

If you're someone who ever has to communicate with data and not sure where to start, you might like to check out this book. I am someone...