We’ve always seen our role as client advocates, giving our clients the information they need to make informed decisions. With an engineering background, I’m always looking for ways to present our research and analysis in a clear and concise manner.
And that’s why I’ve created these graphs – this shows the distribution of 2009 Berkeley home sales prices, organized by bedrooms. For each bedroom count, I simply sorted the sales from low to high so they show up in a continuous graph. The actual data are discrete points, I simply made them into a continuous line to make it look better.
It’s important to remember that the Berkeley MLS Data/East Bay Regional MLS – doesn’t reflect EVERY sale in Berkeley, only those homes sold through the MLS. The graphs and charts still give an excellent overview of home sales prices.
Click on the graph, and you’ll see the full-sized version.
Here’s another way to look at 2009 Berkeley Home Sales – the sales price as a function of the home’s square footage. I was curious what a linear trend line would look like, so put one in.
Thanks Ira. But what’s the x-axis in that top chart?
Hi Gil –
X Axis = Number of sales. Engineers and nature don’t do well with singularities, so there is no “sale zero”
There were 168 closings of 3 bedroom homes, so the right extremity is sale #168.
I organized the sales by price, so sale #168 was the most expensive, #1 was the least expensive. I guess that means the 167th 3 BR sales was the penultimate sale.
It should actually be a series of discrete data points rather than a line, but the line looks nicer.