Graphically Speaking
Data Visualization with a focus on SAS ODS Graphics![SAS graphs for R programmers - bar charts](https://blogs.sas.com/content/graphicallyspeaking/files/2021/03/mnm_colors_sas-600x336.png)
This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on bar charts ... And to give you a hint about what data I'll be using this time, here's a picture from a SAS
![SAS graphs for R programmers - maps from shapefiles](https://blogs.sas.com/content/graphicallyspeaking/files/2021/03/aurora_nc_sas_map-702x336.png)
This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on shapefile maps ... And what data will we be using this time? Here's a hint - the picture below is the Aurora
![SAS graphs for R programmers - bubble maps](https://blogs.sas.com/content/graphicallyspeaking/files/2021/02/world_earthquakes_zoom-446x336.png)
This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on bubble maps - specifically, plotting earthquake data as bubbles on a map. R bubble map, created using geom_polygon() and geom_point() SAS bubble
![SAS graphs for R programmers - paneled graphs](https://blogs.sas.com/content/graphicallyspeaking/files/2021/02/job_openings_bls_sas-702x336.png)
This is another in my series of blogs where I take a deep dive into converting customized R graphs into SAS graphs. Today I show how to combine several graphs with shared axes, which we'll call paneled graphs. This time I'll be plotting the Job Openings Rate by Industry, similar
![SAS graphs for R programmers - diverging bars](https://blogs.sas.com/content/graphicallyspeaking/files/2021/02/bar_sas-702x336.png)
This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS graph. Today I'm focusing on a diverging bar chart (where one bar segment is above the zero line, and the other is below). What type of data
![SAS graphs for R programmers - U.S. choropleth map](https://blogs.sas.com/content/graphicallyspeaking/files/2021/02/map_sas-702x336.png)
This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS ODS Graphics graph. Can you guess what data I'll be using this time? Here's a photo with a hint. This is Keeler, California (just west of Death