I need help with the part about making a figure in excel please!!

You have been hired by the secretive $-$society to analyze a new strategy for calculating the value of $$ through the development of a Python program. Here is the basic format of the strategy provided to you by the $-$society. Begin by recognizing that the area of a unit square $($height $=1\mathrm{.}0,$ width $=1\mathrm{.}0)$ is $1\mathrm{.}0$ and the area of a quarter circle, which lies entirely within the unit square is $\frac{r^2}{4}=\frac{}{4}.$ Now imagine that we choose a random point $(x,y)$ within the unit square. The probability of that random point being within the quarter unit circle is $\frac{}{4}$~~$79\%$ because $79\%$ of the area of the unit square is covered by the quarter unit circle! Now, if we choose 'many' random points, we can estimate the value of $$ because $4x($fraction inside the circle$)=.$

Here's an outline of the algorithm that needs to be developed.

Specify the number of random points, $n$

Set a counter variable to zero. We'll use this variable to track the number of random points inside the circle

Start an iteration or loop that repeats $n-$times. For each iteration:

a$.$ Generate two random numbers $($i$.$e$.,$ a random point$)$ using, for example, $x,y=$ numpy.random.rand$(2)$

b$.$ Using an $\text{'}$if$\text{'}$ statement, check if the random point is inside a unit circle $($i$.$e If the point is inside the circle, add one to a counter variable

Calculate the estimate of $$ by multiplying the fraction of points inside the circle by $4\mathrm{.}0.$

You should write a memo to the $-$society that summarizes your analysis of the feasibility of this algorithm. The report should include a figure, which may be generated using Excel or using matplotlib, that shows the accuracy of the proposed strategy on the $y-$axis $($accuracy is the difference between the estimate of $$ from the algorithm and the 'true' value$)$ versus the number of random points used on the $x-$axis. The Python program should gain accuracy with more points. The head of the $-$society casually mentioned that you should try, "maybe $100,$ or $1000,$ or $10,000$ random points" to see how the number of points impacts the accuracy. You have also been reminded to include your Python code in the appendix of the memo$/$report$.$