$1.$ Create and populate a CSV file named "phone$\_$sales.csv$".$ The file should have $500$ rows and include the following columns:

$$ Phone$\_$Name: The name of the phone sold, e$.$g$.$ iPhone $15,$ Samsung Galaxy S$24,$ etc.

$$ Contract: The months the contract was taken for, e$.$g$.12,24$ or $36.$

$$ Account$\_$ UpToDate: $$Yes$$ if the account is up to date, otherwise $$No$.$

$2.$ Load the file into a Pandas DataFrame named sales$\_$df$.$

$3.$ Create a Dash application with the following components:

$3\mathrm{.}1.$Tab $1$ should contain:

a$.$ A bold and centred heading: $$Accounts$.$

b$.$ A dropdown menu to select a phone $($The phone names should be in alphabetical order$).$

c$.$ Radio buttons are used to select the month for the contract $($The radio buttons should be one after another and in ascending order$).$

d$.$ A bar graph showing whether the number of accounts up to date or not based on the information from the dropdown menu and radio buttons.

$3\mathrm{.}2.$Tab $2$ should contain:

a$.$ A bold and centred heading: $$Phone Contracts.$$

b$.$ A multi$-$bar chart to visualise the number of contracts taken per phone per contract month.

c$.$ Customise the graph so that when you hover over each bar, the phone name, the number sold and the contract months appear, e$.$g$.($Samsung Galaxy S$24,41)36$ month