During the Crimean War (1854-1856), there were newspaper reports of the terrible conditions in the English war camp hospitals, most notably the Scutari hospital in Turkey. Her family discouraged her, but she was head strong and from 1851-1853 she trained as a nurse. Nurses in those days were typically poor, uneducated, and not skilled in the medical profession as they are today.
She had a "divine calling" as a teenager and wanted to be a nurse, an occupation that didn't really exist at the time. She grew up in a wealthy family, and the family and social expectation was that she would marry and have a family of her own. The story behind this diagram is fascinating. First, a little background about the Rose Diagram and this redesign.įlorence Nightingale's Rose Diagram has become one of the most famous data visualizations ever created. My original redesign was created in Adobe Illustrator, but in this blog post I will outline the steps to create it in Tableau. It was recently recreated in Tableau by Satoshi Ganeko and featured as the Tableau Viz of the Day yesterday. The original diagram was published in Contribution to the Sanitary History of the British Army (1859). In our first episode, I showed a redesign of the famous Florence Nightingale Rose Chart. Last month, Steve Wexler and I did our first Chart Chat episode and you can sign up for our second episode here. Below is a sample Plotly rose plot.A Redesign of Florence Nightingale's Rose Chart If you are familiar with python, it might work well for you. In python, polar and rose plots can also be created different ways, one is Plotly. There are newsgroups and user forums for help as well. It can create just about any type of polar plot you want. If you want to play around with creating polar plots, I recommend the free software GMT, generic mapping tools to get started. These plots are critical because sampling the point from different directions gives us new information, and these plots let us see what information we may be lacking in order to design new surveys to add more information. In plot C, we see the results of stacking the two surveys. In plot B, the survey was shot to sample the points along a NE/SW direction. In other words, the point was sampled primarily along a NW/SE direction. So in plot A, very near the point there is not much trace density, but further away at azimuths trending to the upper left/lower right there is more density. What you are seeing in plots A,B, and C is the the azimuthal coverage of subsurface seismic ray paths for an "average" point in the survey. Another way to think of these plots is "angular histograms." This article article shows rose plots for a subsurface point using this picture.
In seismic acquisition and processing rose plots are essential.
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