This video provides examples on how data can be visualized through the use of stories.
- [Instructor] Google's chief economist,…Doctor Hal Varian, has stated,…"The ability to take data, to be able to understand it,…to process it, to extract value from it,…to visualize it, to communicate it,…that's going to be a hugely important skill…in the next decades."…And I'll discuss some qualities that are…important to consider beyond good visualization techniques…and the combination of data, visuals, and a narrative.…Here are three considerations.…First, make sure you're using the right data.…
Seems obvious, right?…Not always.…Perhaps you don't have the right data…or the complete data to tell the story.…Be judicious in evaluating whether the data is appropriate.…For example, is the data too old?…Is our interpretation open to question?…Sometimes you may need to find a different data set.…Having the right data is always the first step…before creating a data story.…Second, synthesize.…This means that we might use…a combination of data sets, contemporary ideas, history,…and other characteristics to reach some conclusions.…
Dr. Jonathan Reichental introduces real-world use cases for open data, as well as the steps you need to take to develop and operationalize an open data program. He also explains how data scientists use open data to tell stories and drive data visualizations. Along the way, he provides numerous examples of open data in action: improving government, empowering citizens, creating opportunity, and solving public problems.
- Understanding what open data really is
- Current open data efforts around the globe
- Open data in action
- Designing an open data governance process, including policies
- Monetizing open data
- Storytelling with open data
- Selling the value of open data
- Measuring the value of open data