I use Spotfire for data analytics, which seems to handle the data relationships/manipulations more efficiently than pivot tables/charts but that's just me.

It contains more detailed information on investing insights, analytics, and, particularly, investing in Las Vegas.Before proceeding, note that the charts only include properties that fit the following criteria unless stated otherwise.Type: Single-familyConfiguration: 1,000 SF to 3,000 SF, 2+ bedrooms, 2+ baths, 2+ garages, minimum lot size is 3,000 SF, one or two stories.Price range: $320,000 to $475,000Location: All zip codes marked in green below have one or more of our client’s investment properties.Overall Las Vegas Real Estate Market InventoryThe chart below, provided by the MLS, includes all property types and price ranges.Rental Market TrendsThe charts below are only relevant to the property profile that we target.Rentals - Median $/SF by MonthRents declined slightly month-over-month, in line with the seasonal trend, but remained strong for November.

I am sharing my analytical perspective on how these factors are likely to influence the market:1.

Your RoR is your chance at bankruptcy or any figure you want to put at the bottom (You can put in a 0% chance of going below $100k Net Worth etc).When I played high stakes poker, there was a well known story of Poker "Bob", aka Haralabos Voulgaris who was finally hired to the be the analytics director for the Dallas Mavericks. 

Always analytically understand a concept and then draw your own conclusions.Good luck!

Obviously trial by fire is probably the solution, and I'm getting ahead of myself, but I have some pretty bad analytical paralysis.

Not necessarily, I’m a data/analytical person so rely on multiple factors when deciding on what’s the “best” size.

Yes, computer generated from an analytical system that identifies personalities, areas of interest, post trends and popular topics of members to create posting activity.

I'm sure others found my style too analytical for their taste.(2) Case studies (a technique pioneered by the Harvard Business School)People borrow money all the time to buy businesses and use the cashflow from those businesses to pay down (or off) the loans.

Similar to what Michael said we use analytics to adjust pricing to a certain point, and then let it go vacant.