Andrew C. Madson

The legal status of cannabis continues to evolve, raising challenges for medical writers who work in population health and drug safety. To guide messaging, research has investigated how the public perceives cannabis, often relying on surveys or “big data” analyses of social media. However, these methods can be costly. As a supplement, we explored comments posted to a United States Food and Drug Administration docket on cannabis science and risk, which may offer an accessible, purposive… Show more

The legal status of cannabis continues to evolve, raising challenges for medical writers who work in population health and drug safety. To guide messaging, research has investigated how the public perceives cannabis, often relying on surveys or “big data” analyses of social media. However, these methods can be costly. As a supplement, we explored comments posted to a United States Food and Drug Administration docket on cannabis science and risk, which may offer an accessible, purposive, cost-effective source of data. We applied a multipronged methodology that involved content analysis, sentiment analysis, and metadata analysis. The findings suggest that broad messaging on cannabis may have limited effectiveness. Instead, medical writers should design messages that emphasize the risks of particular products as well as express empathy for consumers suffering from specific conditions. Moreover, among other things, the findings suggest that medical writers should use the terms “cannabis” and “marijuana” intentionally, considering the implications of each. In the future, research should develop methods to further segment drug consumers demographically and psychographically, building on the methodology that we present here. This research may inform not just messaging but regulatory writing practices and state drug policies. Show less

Are you tired of spending hours crafting the perfect data visualization only to have your audience squinting, scratching their heads, or simply losing interest? As a data analyst, you know how crucial it is to present your findings in an easy-to-understand and engaging manner. After all, the insights you uncover are only as powerful as your ability to communicate them effectively.



Fret not, fellow data enthusiasts! I've got you covered. This guide is your ultimate resource for… Show more

Are you tired of spending hours crafting the perfect data visualization only to have your audience squinting, scratching their heads, or simply losing interest? As a data analyst, you know how crucial it is to present your findings in an easy-to-understand and engaging manner. After all, the insights you uncover are only as powerful as your ability to communicate them effectively.



Fret not, fellow data enthusiasts! I've got you covered. This guide is your ultimate resource for choosing the right charts to bring your data to life. No more confusion or glazed-over eyes—just clear, compelling visualizations that will have your audience eagerly following along and enjoying the journey through your data.



By reading this guide, you'll discover the following:



How to identify the perfect chart type for your specific data and goals
15 popular chart types, explained in detail, with tips on when and how to use each one
How to avoid common pitfalls that can make your visualizations less effective


Keep your valuable insights from getting lost in translation. Dive into this guide and unlock the full potential of your data by mastering the art of choosing the right charts. Your audience will thank you, and your career as a data analyst will soar to new heights! Show less

After a night of fate and fury, young Jai Apprendu becomes the last of his village -- a village he could never call home. Guided by a golden charm and the oracular lady, he searches for justice, soon undertaking an epic journey of prophecy, secrecy, and conspiracy.