Robert Allison has given an excellent map example by SAS/GRAPH about the murder rates per 100,000 people in the major US cities. To emulate this map, we should annotate the cities and use the size of the bubbles to represent the murder rates.

Comparing with the GRAPH module in SAS, the SVG based map on a webpage may have some advantages: first the maps will not lose details when zoomed out; second the JSON-formatted raw map data can be easily created to reflected the latest change; third with some more JavaScript attached the map on the HTML file can be empowered with dynamic effects.

1. Input raw data and transform SAS d to JSON 
I only choose the top 20 most violent cities, since I have to manually enter the coordinates data including longitude and latitude. Then I transform them to JSON format. To label all cities from the EXCEL file, a better way is to use R's ggmap package to automate the process of fetching the coordinates.
data top20;
input @1 City $11. @14 State $2. @17 Murder_rate @22 rank
@26 coordinates $50.;
cards;
New York NY 471 1 -74.0059731,40.7143528
Chicago IL 458 2 -87.6297982,41.8781136
Detroit MI 363 3 -83.0457538,42.331427
Los Angeles CA 312 4 -118.2436849,34.0522342
Philadelphi PA 302 5 -75.163789,39.952335
Houston TX 287 6 -95.3693896,29.7601927
Baltimore MD 238 7 -76.6121893,39.2903848
New Orleans LA 174 8 -90.0715323,29.9510658
Dallas TX 166 9 -96.8004511,32.7801399
Washington DC 144 10 -77.0363658,38.8951118
Saint Louis MO 143 11 -90.296630859375, 38.74337300148123
Memphis TN 132 12 -90.0489801, 35.1495343
Phoenix AZ 122 13 -112.0740373, 33.4483771
Las Vegas NV 111 14 -115.172816, 36.114646
Oakland CA 104 15 -122.2711137, 37.8043637
Kansas City MO 100 16 -94.5785667, 39.0997265
San Antonio TX 99 17 -98.4936282, 29.4241219
Indianapolis IN 99 18 -86.1579557, 39.7685825
Jacksonville FL 99 19 -81.655651, 30.3321838
Cleveland OH 83 20 -81.6954088, 41.4994954
;;;
run;

data top20_json(keep=string);
set top20 nobs = nobs;
length string $300.;
_coordinates = cats('"coordinates":[', coordinates, ']},');
_properties = cats('"properties":{"name":"', city, '","murder_rate":', Murder_rate, '}},');
string = cats('{"type":"Feature","geometry":{"type":"Point",',_coordinates, _properties);
if _n_ = nobs then substr(string, length(string), 1) = ' ';
run;
2. Draw the map and label the cities
D3.js provides the basic us-states.json data. The only thing that needs to do is to attache the cities' murder rate data to the HTML codes. A modern browser such as Chrome will compile the codes and generate the physical map.