With this data, I selected the relevant attributes and then calculated the root mean squared error of the scaled distances from the target city as a (dis)similarity metric. After sorting the results, I could identify the ten most similar cities.
|Start with a graph of each (scaled) point plotted.|
|Next, remove the grid lines.|
|Connect the dots.|
|Display all of the other cities' strands.|
|Subset to the ten cities most similar to yours.|
|Visualized as a layered animation|