Case Study: Effective Data Storytelling
Explore how to effectively communicate data-driven stories using R, focusing on visualization, statistical inference, and real-world case studies. Learn to interpret and present data in ways that engage and inform your audience while applying key data science methods covered in the course.
We'll cover the following...
As we’ve progressed throughout this course, we’ve seen how to work with data in a variety of ways. We’ve learned effective strategies for plotting data by understanding which types of plots work best for which combinations of variable types. We’ve summarized data in spreadsheet form and calculated summary statistics for a variety of different variables. Furthermore, we’ve seen the value of statistical inference as a process to come to conclusions about a population by using sampling. Lastly, we’ve explored how to fit linear regression models and the importance of checking the conditions required, so that all confidence intervals and hypothesis tests have valid interpretations. All throughout, we’ve learned many computational techniques and focused on writing R code that’s reproducible.
We now present another set of case studies, but this time on the effective data storytelling done by data journalists around the world. Great data stories don’t mislead the reader, but rather engulf them in understanding the importance that data plays in our lives through storytelling. ...