Computer Science 1 Marks Each

Aggfunc()

.fillna()

It measures how far a data set is spread out. It is mathematically defined as the average of the squared differences from the mean.

skipnabool, default true. exclude na/null values when computing the result.

pandas.DataFrame.mean(). This function returns the average i.e. Arithmetic mean of the values for the given axis.

In Pandas, groupby() function allows us to rearrange the data by utilizing them on real-world data sets. Its primary task is to split the data into various groups. These groups are categorized based on some criteria. The objects can be divided from any of their axes.

It is a very useful summarisation tool that will quickly display statistics like mean, median, standard deviation etc.

import pandas as pd

df=pd.read_csv