Open the Datasets Task.ipynb file and complete the following tasks in the

notebook. Save your notebook to your task folder for submission.

$1.$ Write the code that performs the action described in the following

statements.

a$.$ Select the 'Limit' and 'Rating' columns of the first five observations

b$.$ Select the first five observations with $4$ cards

c$.$ Sort the observations by 'Education'. Show users with a high

education value first.

$2.$ Write a short explanation in the form of a comment for the following lines of

code.

a$.$ df$.$iloc$[$:$,$:$]$

b$.$ df$.$iloc$[5$:$,5$:$]$

c$.$ df$.$iloc$[$:$,0]$

d$.$ df$.$iloc$[9,$:$]$Compulsory Task

In this compulsory task you will use pandas to select data from a dataset and explain the data retrieved for a given line of code.

In $[]$: M import pandas as pd

You will use the same balance.txt dataset used in the example Jupyter notebook. Remember to ensure it is in the same folder as this notebook.

$In[]$: $Mdf=pd.rea{d}_{c}sv(\text{'}balance.txt\text{'},$ sep$=\text{'}\text{'})$

Write the code that performs the action described in the following statements.

$In[]$:

$In[]$: Select the 'Limit' and 'Rating' columns $of$ the first five observations

$In[]$: Select the first five observations with $4$ cards

Write a short explanation in the form of a comment for the following lines of code. For example:

# Selects the first $5$ rows, and all of the columns for those rows.