I want help to do the following tasks

data analytics question and need guidance to help me learn.

(create a pie graph) of genres that have percentages and numbers of streams
(create a pie graph) of genres first viewers per ep, highest total average viewing accounts
Figure out percentages of acquired vs. original from each genre/content type combo (create a bar graph)
Figure out per category of genre/content type the quartiles of budget, quartiles of steams
Figure out from total list quartiles or total cost, quartiles of streams per ep, quartiles of first viewers per ep, quartiles of viewing accounts per ep
Create top titles list that fit based on following criteria:
Title’s streams per ep above or equal to total streams per ep q3
Title’s viewing accounts per ep above or equal to total viewing accounts per ep q2
Title’s first viewers per ep above or equal to total first viewers per ep q2
-After sort this list from highest streams to lowest streams
-create a bar graphs w/ highest average streams per ep genres, highest average viewing hours per ep genres, highest average first viewers per ep genres
After Create another tab list based on last narrowed down title list of titles w/
Title’s streams per ep above or equal to total streams per ep q4
Title’s viewing accounts per ep above or equal to total viewing accounts per ep q4
Title’s first viewers per ep above or equal to total first viewers per ep q4
Can you run multiple regressions to test the relationships between these elements?
1. Correlation between (total streams per ep) and cost for each combo of genre and format
2. correlation best represents retention of subscriber between streams per ep and viewing hours per ep
3. Correlation between streams per ep and first viewers per ep
4. Correlation between streams per ep and viewing accounts per ep
5. Correlation between viewing hours per ep to streams within each genre/content type category
Requirements: complete