Perform the tasks and answer the questions using Python code. Display results when applicable. Take screenshots of your work.

To start performing each task, import the libraries $($pandas$,$ matplotlib.pyplot and Seaborn$)$ you will need to work with data and plot the graphs.

Load the "diamonds" dataset from the Seaborn package.

The explanation for each column is as given below:

$1)$ price $-$ price in US dollars $($$$326—$ $$18,823)$

$2)$ carat $-$ weight of the diamond $(0\mathrm{.}2–5\mathrm{.}01)$

$3)$ cut $-$ quality of the cut $($Fair$,$ Good, Very Good, Premium, Ideal$)$

$4)$ color $-$ diamond colour, from J $($worst$)$ to D $($best$)$

$5)$ clarity $-$ a measurement of how clear the diamond is $($I$1($worst$),$ SI$2,$ SI$1,$ VS$2,$ VS$1,$ VVS$2,$ VVS$1,$ IF $($best$))$

$6)$ x $-$ length in mm $(0–10\mathrm{.}74)$

$7)$ y $-$ width in mm $(0–58\mathrm{.}9)$

$8)$ z $-$ depth in mm $(0–31\mathrm{.}8)$

$9)$ depth $-$ total depth percentage $=$ z $/$ mean$($x$,$ y$)=2*$ z $/($x $+$ y$)(43–79)$

$10)$ table $-$ width of top of diamond relative to widest point $(43–95)$

Task $1$

i$)$ Load the "diamonds" dataset from the Seaborn package to an object.

ii$)$ Find the datatype of the object into which you have loaded the "diamonds" dataset.

iii$)$ View the top $5$ and bottom $5$ rows of the data.

iv$)$ Get the dimensions of the data. Find the number of rows and columns in the data.

v$)$ Display the structure of the data $–$ all column names along with their data types.

vi$)$ Display the summary statistics of all the columns in your data.

Hint: Explore the functions available in pandas dataframe to perform tasks iii$-$vi$.$ 



Task $2$

Using Seaborn, plot a histogram for the "price' field. Also, display the curve line on the histogram that depicts the shape of the distribution.



Task $3$

Visually show how many types of cuts are there in the data and how many records we have for each type of cut $($use Seaborn$).$ Verify the plot with actual values $($use functions in pandas$).$



Task $4$

Visually display the mean price of the diamonds based on the different types of cuts. Which type of cut has highest average price $($use Seaborn$)?$ Verify the plot outputs with actual values.



Task $5$

Visually display the number of records we have in the diamond data corresponding to a particular cut and color $($use Seaborn$).$ Verify with actual values. $($Hint: Use the crosstab function available in pandas$).$ 



Task $6$

Using lineplot, find the average carat for diamonds of different cut and color. Verify the display with actual values. $($Hint: use groupby$)$



Task $7$

Using scatterplot, find the relation between:

i$)$ Carat and price of diamonds

ii$)$ Carat and x dimension