I suspect most people on here consider 'beaters' to be perfectly fine mechanically, mostly visually OK vehicles with some flaws that are reasonably comfortable and serve the purpose without costing an obscene amount of money.

Also, you can manipulate charts and graphs to "show" anything you like because they are visual and we are merely human.

In just my time there from 1988-2015, there is a visual change, that eventually will become apparent to banks and insurance companies underwriting the RE assets.

And we are taking economic procedures right now that are going to serve to further reignite the economy when all this passes.don’t forget, ’cause I’m sure everybody has, swine flu outbreak 2009, 2010, right here, United States of America, 60 million Americans infected. you have to visualize this, 300,000 hospitalized.

I even lost to someone who had only a visual inspection contingency where they just walked the property themself without an inspector (crazy in any market). 

I've used them a lot and the graphs and so forth always look so sharp on my screen, but what a great move to take it to that next step and use them as a visual aid so people understand you're serious and know your stuff. 

or Does it mean visually analyzing the physical conditions of a property?

It's all one account but let's you visualize how your money is being divided up.

Off topic: I rather close 5 good investment deals for clients vs 10 over price buy-holds.2014 last quarter goals:~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Locate and close at least 5 good investment properties for clients.At least 2 successful close of four bedroom buy-hold.Complete one successful small partial seller financing for clients.Rent out at least one property for client(s) in next 60 days.Pay my realtor dues.Complete realtor continual education courses.60 days -> spend at least 10 minutes a day manifesting & visualization personal wealth.View at least 51 potential investment properties for clients.Order about 5000 business cards.

I work in data science at Freddie Mac where my team crunches a lot of mortgage data for machine learning, data mining, and data visualization.