FAERS data are like any post-market surveillance pharmacy data – notoriously messy. But if you apply strong study design skills and a scientific approach, you can use the FAERS online dashboard to obtain a dataset and develop an enlightening portfolio project. I show you how in my blog post!
Tag Archives: Microsoft Powerpoint
09
Oct
Oct
Color in visualizations of data curation and other data science documentation can be used to enhance communication – I show you how!
04
Oct
Oct
Text and arrows in dataviz, if used wisely, can help your audience understand something very abstract, like a data pipeline. Read my blog post for tips in choosing images for your data visualizations!
30
Sep
Sep
Ask me anything about data science or public health every month! Subscribe to my “Ask Me Anything” membership, and get all your questions answered in real time!
22
Jun
Jun
“Rapid application development” (RAD) refers to an approach to designing and developing computer applications. In public health and healthcare, we are not taught about application development – but it’s good for us to learn about it, since we have to deal with data from health applications. My blog post talks about the RAD approach I […]
13
May
May
“What is the ONC?” is what I used to ask before I realized it involves health technology. Although ONC just means “Office of the National Coordinator”, this agency is now known as HealthIT.gov, as I explain in my blog post.
11
Apr
Apr
Time series plots in R are totally customizable using the ggplot2 package, and can come out with a look that is clean and sharp. However, you usually end up fighting with formatting the x-axis and other options, and I explain in my blog post.
25
Mar
Mar
Convert CSV to RDS is what you want to do if you are working with big data files in R GUI and want to improve efficiency. Read my blog post for an explanation and video demonstrations of this process!
26
Dec
Dec
Looking for a SAS-R integration example that uses the best of both worlds? I show you a use-case where I was in a hurry, and did transformation in R with the analysis in SAS!
