 Changing X and Y axes: here, we map the X axis on climate, which reveals that low and high latitude have widely varying climate index. |
 Mapping an axis to logarithmic or exponential scales: here, we map the X axis on population, choosing an "adjusted" scale. This shows that the Population follow an exponential distribution in size, but are quite well distributed along the latitude (y) axis. |
 Adding labels to city names: here, labels are assigned only to large cities to avoid cluttering the display space. |
 Sorting and Filtering cities on one or more criteria: here, we display only cities with a housing cost above the average, revealing a bias toward northern cities and Florida (in blue at the bottom): the higher the latitude, the higher housing costs. |
 Mapping colors on quantitative, qualitative or diverging scales: Previously, the colors were mapped to the state, with a qualitative color scheme. Here, we map the color to the housing cost, to let us spot immediately cities with the highest housing costs (Stamford, CT) |
 Adding small bar charts to show individual values for each city: here, we have superimposed a small bar chart showing relative values of HousingCost, Arts and Healthcare for the largest cities. |