{"id":987,"date":"2014-03-14T20:17:09","date_gmt":"2014-03-15T00:17:09","guid":{"rendered":"http:\/\/commons.trincoll.edu\/dataviz\/?p=987"},"modified":"2014-03-18T14:10:32","modified_gmt":"2014-03-18T18:10:32","slug":"progress-report-ipc","status":"publish","type":"post","link":"http:\/\/commons.trincoll.edu\/dataviz\/2014\/03\/14\/progress-report-ipc\/","title":{"rendered":"Progress Report (IPC)"},"content":{"rendered":"

At the Injury Prevention Center, I have been looking at and analyzing data from a database of pediatric trauma patients from 2007 to 2012. Having received this massive dataset, there was a lot of different routes in which we could have approached this. For the beginning of the semester, I have been organizing data into formats that represented the data shown in an earlier pediatric trauma registry paper. For instance, I would group the patients by year, age, ethnicity, etc. Although I am still in the process of formatting some of the data, such as organizing the data based off of time, I have made progress in creating graphs and visualizations that represented the paper. Moreover, I have played around with other visualization to see whether they are effective in displaying that data, such as the motion graph.
\nNow that most of the data organization has been completed, my next step is to continue making visualizations based off of my data. After Alvin Chang\u2019s presentation, I started to think about how each of my visualization could tell a story, what audience I wanted to show, and how effectively I could portray this data to them. After completing the preliminary visualizations, I will start to delve into the data and look at any trends or anything of significance that I could potentially visualize. I have sketched a few ideas on what I want to do and hopefully within the next few weeks I will bring them to light. Moreover, within the next week or couple of days, I will start compiling a list of questions that I could ask patients, doctors, and families. Similar to what Alvin did, I would like to be able to embed a story behind the data to make it more powerful. By the end, we hope that we will have a collection of visualization to choose from, and tell impactful stories that promote the cause of injury prevention.<\/p>\n

Below are some examples of what I have done so far:<\/p>\n

In this graph I compared the number of patients by age group. From this graph we can see that males ages 0-9 usually are the ones who get injured the most. However, this changes the older the children get. It would be interesting to find out why this trend exists.<\/p>\n

Update by Jack, March 18th: the interactive image below did not consistently appear<\/strong> in your post, most likely due to Google Drive hosting issues. But I was able to paste the underlying URL into another browser to capture this static image, which I have pasted in. Therefore, both the static and interactive versions may appear in some browsers. See my comment below about hosting code on GitHub instead.<\/em><\/p>\n

\"static<\/a>
static view of interactive chart<\/figcaption><\/figure>\n

The interactive version:<\/em>
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