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Exploratory analysis on COVID-19 Dataset with Python
By Risk N Returns  •  April 11, 2020

As regular readers know, I’ve been pursuing a Masters in data analysis from SMU since last August. I’m still quite new to programming in Python and the data analysis process. As such, from time to time, I practice on various public datasets available for use.

COVID-19 has certainly been top of most people’s minds right now with it having a significant impact on our lives. Between social distancing and working from home, this unprecedented health crisis may change the way we behave and do things forever. It has certainly affected our portfolios with rapid write offs in market value during March Madness.

One key question that investors have is whether the COVID-19 outbreak is under control and consequently, whether the recent market rally is sustainable. As such, I thought I’ll share something different with you today. I’ll be doing a step by step guide to how to perform an exploratory analysis on

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By Risk N Returns
I go by the initials KK. I don’t profess to be an investment guru, just reasonably experienced (>4 years in the market) and knowledgeable at personal finance and investing. All that I know, I’ve had to learn and experience from scratch.
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