Pls help in writing python code for this poorly formed and written question where nothing is clear.

Question :

Product Optimization Exercise

The problem statement for this homework: You are producing beverage mugs and are trying

to identify the best price$-$feature$-$vector. Assume the following attributes and attribute levels:

$$ Price: $$30,$ $$10,$ $$5$

$$ Time Insulated: $0\mathrm{.}5$ hrs$,1$ hr$,3$ hrs

$$ Capacity: $12$ oz$,20$ oz$,32$ oz

$$ Cleanability: Difficult $(7$ min$),$ Fair $(5$ min$),$ Easy $(2$ min$)$

$$ Containment: Slosh resistant, Spill resistant, Leak resistant

$$ Brand: A$,$ B$,$ C

Assume the following as the "proposed market scenario", i$.$e$.$ the scenario with the current

competitors and our proposed candidate.

Incumbents

$1$: $$30,3$ hrs$,20$ oz$,$ Clean Easy, Leak Resistant, Brand A

$2$: $$10,1$ hrs$,20$ oz$,$ Clean Fair, Spill Resistant, Brand B

Our proposed candidate

$3$: $ $30,1$ hrs$,20$ oz$,$ Clean Easy, Leak Resistant, Brand C

Assume the following cost structure:

$$ Time Insulated: $0\mathrm{.}5$ hrs costs $$0\mathrm{.}5,1$ hr costs $$1,3$ hrs costs $$3$

$$ Capacity: $12$ oz costs $$1\mathrm{.}00,20$ oz costs $$2\mathrm{.}6,32$ oz costs $$2\mathrm{.}8$

$$ Cleanability: Difficult $(7$ min$)$ costs $$1,$ Fair $(5$ min$)$ costs $$2\mathrm{.}2,$ Easy $(2$ min$)$ costs

$$3\mathrm{.}0$

$$ Containment: Slosh resistant costs $$0\mathrm{.}5,$ Spill resistant costs $$0\mathrm{.}8,$ Leak resistant costs

$$1$

You are given data on the preference parameters of $311$ consumers in mugs$-$preferenceparameters$-$full.xlsx$.$ The CSV version of this file is also provided as mugs$-$preferenceparameters$-$full.csv$.$

Discrete Optimization: Consider each of the three levels for each of the five attributes

and enumerate all the possibilities in lexical order with Price as the leftmost attribute

changing slowest and taking levels sequentially $$30,$ $$10,$ $$5,$ then Time Insulated as

the left$-$second$-$most attribute changing second$-$slowest and taking values sequentially

$0\mathrm{.}5$ hrs$,1$ hr$,3$ hrs and so on$.$ You will have $243$ product candidates. $($The lexical order

produces indices as shown in mugs$-$products$-$lexical$-$order.csv$.$ Please make sure

you list your products in that exact same order. The lexical order of products is

obtained by looping as shown in mugs$-$products$-$lexical$-$order$-$loop.R$,$ which has

close similarity in python. Again, using the compensatory rule, compute and report

the following four columns of numbers for each candidate: the share, the cost, the

margin and the expected profit per person $($all under the current competition

incumbents$).$ The table that you submit needs to have all $243$ rows. Hint to check your

answer: product candidate $230$ has a negative expected profit per customer of between

$-1\mathrm{.}75$ and $-1\mathrm{.}85,$ and product candidate $106$ has an expected profit per customer of

between $0\mathrm{.}7$ and $0\mathrm{.}8.$

There is no clarity anywhere $,$ multiple datasets and large barrage of values $.$