The document discusses different narratives of big data, including the four V's of volume, velocity, variety and variability; the rise of data scientists and predictive analytics; and machine learning tools like deep learning. It then argues that big data is essentially about storytelling, and discusses techniques like data visualization pioneered by Bertin, Tukey and Tufte. Finally, it presents some tools that can be used for data-driven storytelling, such as Google Correlate, Gephi and IPython notebooks.

1. Data-Driven Storytelling
Dr. Benedikt Koehler, d.core datascience

2. The three narratives of Big Data
(so far)
Three frequently heard definitions of Big Data:
• The four V‘s: Volume, Velocity, Variety, Variability
• The Rise of the Data Scientist: Developing Data Products in
Organizations (Chief Data Officer)
• Algorithms & Machine Learning: Predictive Analytics, Large
Scale Machine Learning (e.g. Deep Learning) as new Toolbox
What else?

3. Big Data = Storytelling
Jacques Bertin:
Sémiologie graphique
John W. Tukey:
EDA
Edward Tufte:
Visual Display of
Quantitative Information

4. What‘s the story?
We believe in Gauss

5. What‘s the story?
Colors of the rainbow

6. What‘s the story?
Mobile Carpet

7. What‘s the story?
Mysterious pointilist H

8. What‘s the story?
Pixelsorter vs. Quiltbot

9. The tools for storytelling
Google Correlate

10. The tools for storytelling
Gephi

11. The tools for storytelling
IPython Notebooks

12. Thank you very much!
Benedikt Koehler / @furukama / koehler@dcore.de
www.dcore-datascience.de