We call these cryptocurrencies. Some are extremely valuable nowadays, and others may have the potential to become extremely valuable in the future.
Hi guys my name is mohammed and i’m a data science and machine learning student and also a web development enthusiast. so today we gonna be doing a small analysis about bitcoin , so without much talking let’s jump right into it.
Since the launch of Bitcoin in 2008, hundreds of similar projects based on the blockchain technology have emerged. We call these cryptocurrencies. Some are extremely valuable nowadays, and others may have the potential to become extremely valuable in the future. In fact, on the 6th of December of 2017, Bitcoin has a market capitalization above $200 billion.
That said, let’s get to business. We will start with a CSV file named datasets/coinmarketcap_06122017.csv
. (note that The public API went private in 2020 and is no longer available).
Why do the count()
for id
and market_cap_usd
differ above? It is because some cryptocurrencies listed in coinmarketcap.com have no known market capitalization, this is represented by NaN( not a nomber)
in the data, and NaN
s are not counted by count()
. These cryptocurrencies are of little interest to us in this analysis, so they are safe to remove.
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