Python Seaborn MCQ

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Create a pair plot with all these columns and choose the correct statements from the given ones: i-there is a good trend between litecoin and

The following datasets contain the prices of some popular cryptocurrencies such as bitcoin, litecoin, ethereum, monero, neo, quantum and ripple. Now, you would like to know how the prices of these currencies vary with each other. The cryptocurrencies and the corresponding columns in the dataset are as follows:

  • bitcoin (Close_btc)
  • litecoin(Close_ltc)
  • ethereum(Close_et)
  • monero(Close_mon)
  • neo(Close_neo)

Sample Data

  Close_btc Close_et Close_ltc Close_mon Close_neo Close_qt
0 7144.38 294.66 61.3 99.76 26.23 11.21
1 7022.76 298.89 55.17 102.92 26.32 10.44
2 7407.41 296.26 54.75 86.35 26.38 10.13
3 7379.95 300.47 55.04 87.3 26.49 10.05
4 7207.76 305.71 56.18 87.99 26.82 10.38

Q1) Create a pair plot with all these columns and choose the correct statements from the given ones:

I)There is a good trend between litecoin and monero, one increases as the other
II)There is a weak trend between bitcoin and neo.

a) I
b) II
c) Both I and II
d) None of the above.

create a pair plot with all these columns and choose the correct statements from the given ones: i-there is a good trend between litecoin and monero, one increases as the other ii- there is a weak trend between bitcoin and neo.

df1=pd.read_csv("crypto.csv")
df1.head()
sns.pairplot(df1)

Q2) Create a correlation matrix for all the prices and then plot a heatmap to analyse the trends. Which of the following options is/are correct?

a) Ethereum and Quantum have high correlation
b) Neo and Bitcoin have pretty low correlation
c) Ethereum has similar correlation with litecoin and neo

df2=df.corr()
sns.heatmap(df2,cmap="Greens", annot=True)

pair plots create a pair plot with all these columns and choose the correct statements from the given ones: i-there is a good trend between litecoin and monero, one increases as the other ii- there is a weak trend between bitcoin and neo.

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