Stock Market, Python, Finance, Data Science, Money.
In the field of data science, we fill an object called “NaN” into cells if we failed to collect data, or if data is corrupted. The “NaN” stands for “Not a Number”. If it’s about the price history of a company, for example, the price data are all set to NaN before the company is born. Of course, the