After a lot of hard work in the data munging mines, youve landed a job as Lead Analyst for an independent gaming company. Youve been assigned the task of analyzing the data for their most recent fantasy game Heroes of Pymoli.Like many others in its genre, the game is free-to-play, but players are encouraged to purchase optional items that enhance their playing experience. As a first task, the company would like you to generate a report that breaks down the games purchasing data into meaningful insights.Your final report should include each of the following:Player CountTotal Number of PlayersPurchasing Analysis (Total)Number of Unique ItemsAverage Purchase PriceTotal Number of PurchasesTotal RevenueGender DemographicsPercentage and Count of Male PlayersPercentage and Count of Female PlayersPercentage and Count of Other / Non-DisclosedPurchasing Analysis (Gender)The below each broken by genderPurchase CountAverage Purchase PriceTotal Purchase ValueAverage Purchase Total per Person by GenderAge DemographicsThe below each broken into bins of 4 years (i.e. <10, 10-14, 15-19, etc.)Purchase CountAverage Purchase PriceTotal Purchase ValueAverage Purchase Total per Person by Age GroupTop SpendersIdentify the the top 5 spenders in the game by total purchase value, then list (in a table):SNPurchase CountAverage Purchase PriceTotal Purchase ValueMost Popular ItemsIdentify the 5 most popular items by purchase count, then list (in a table):Item IDItem NamePurchase CountItem PriceTotal Purchase ValueMost Profitable ItemsIdentify the 5 most profitable items by total purchase value, then list (in a table):Item IDItem NamePurchase CountItem PriceTotal Purchase ValueAs final considerations:You must use the Pandas Library and the Jupyter Notebook.You must submit a link to your Jupyter Notebook with the viewable Data Frames.You must include a written description of three observable trends based on the data.See Example Solution for a reference on expected format(attachment).