Enhancing data journalism with Jupyter
Drawing inspiration from narrative theory and design thinking, Karlijn Willems walks you through effectively using Jupyter notebooks to guide the data journalism workflow and tackle some of the challenges that data can pose to data journalism.
| Talk Title | Enhancing data journalism with Jupyter |
| Speakers | Karlijn Willems (DataCamp) |
| Conference | JupyterCon in New York 2017 |
| Conf Tag | |
| Location | New York, New York |
| Date | August 23-25, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Data allows journalists to take on bigger stories, more authoritatively verify claims, find new stories, offer detail and illumination to delicate issues, and be more transparent. But these opportunities also bring challenges for data journalism. Drawing inspiration from narrative theory and design thinking, Karlijn Willems walks you through effectively using Jupyter notebooks to guide the data journalism workflow and tackle some of the challenges that data can pose to data journalism. You’ll learn how the Jupyter Notebook can help you to implement some of the most recent trends and best practices in data journalism and explore some real-world examples. Topics include:
