Computer systems and methods enable an individual to import information related to real property units under consideration for purchase from a list of available real property units available for sale and to compare the real property units. The computer system calculates flip and rental based income for the imported real property units under consideration for purchase and displays for comparison the real property units available for-sale or for-rent. The system further allows the individual to load the information relating to selected real property units for purchase or for rent into a simulator to predict future financial performance of the real property units. The computer based methods and systems also represent each real property unit available for sale and/or for rent by a pixel on a geographic map, and calculates and displays heat maps for each of the real property unit that use a plurality of colors to signify the value of a parameter (e.g., rental value, sale price, or expected monthly profit) at various points in a spectrum on the geographic map include the real property unit. The “heat map” helps guide the user to the identify real property units with higher rental value and expected monthly profits, and lower housing prices. In addition, the systems and methods identify anomaly real property units that have prices and/or rental values that do not comport with a surrounding region in a given area or a heat map.