Question $1-$ Data Manipulating: Pandas $(26$ Pts$)$

Implement the following tasks by using Pandas library.

$[$Task$-1\mathrm{.}1](2$ Pts$)$ Load the csv file "nba.csv$"$ into a DataFrame and display the first ten rows.

$[$Task$-1\mathrm{.}2](4$ Pts$)$ Print names of NBA players whose salary is greater than $20$ million dollars.

$[$Task$-1\mathrm{.}3](4$ Pts$)$ In "Height" column, the heights of NBA players are given in feet and inches. Convert the unit of height to cm updating the same column.

$[$Task$-1\mathrm{.}4](4$ Pts$)$ Create a Data Frame including the names of teams in the first column and the average height of their players in the second column. Print the result.

$[$Task$-1\mathrm{.}5](4$ Pts$)$ Plot a bar chart using Matplotlib to show the top $5$ NBA teams with the highest average height of their players. Set label names and titles.

$[$Task$-1\mathrm{.}6](4$ Pts$)$ In the "College" column, some information is missing $($NaN$).$ Remove the rows having NaN values in "Collage" column.

$[$Task$-1\mathrm{.}7](4$ Pts$)$ In the "Salary" column, some information is missing $($NaN$).$ Calculate the average salary of all NBA players and fill the NaN values with the average salary value.