Let us explore the data.
Let us use describe() to view statistical-details about the data.
Also, let us see if there are any null values in each column of the data using isnull().sum().
Note:
describe() is a method used on a data frame to view the statistical description of the numerical columns in the data frame.
isnull() method returns True in the places where there are null values(or missing values) and False if the values are not nulls.
isnull().sum() displays column-wise information about the number of nulls found in each column of the data frame.
Use describe method on the df_yahoo data frame to view the statistical description of the numerical columns in the data frame.
df_yahoo.<< your code comes here >>
Use isnull().sum() on the df_yahoo data frame to view if there are any null values in each column of the data frame.
df_yahoo.<< your code comes here >>
We see that there are no missing values in the YAHOO dataset, which apparently indicates a good state of our data.
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