Marysia Winkels - Data Storytelling through Visualization | PyData London 2023

"Learn how to effectively communicate data insights through visualization, while avoiding common pitfalls, and discover how storytelling with data can reveal trends and drive understanding."

Key takeaways

Data choices influence conclusions: even a few data points can give insight into the data, but may not reveal trends.
Visualization is a way of communicating data, not just making it look pretty: keep it clear, concise, and focused.
Avoid clutter: don’t show too much data or unnecessary details.
Summary statistics are not enough: actual exploratory visualization is needed to understand data.
Data storytelling is crucial: use visualization to tell a story with data, not just present information.
Color can guide attention: use color thoughtfully to draw attention to important aspects of the visualization.
Focus is critical: guide the reader’s attention to the most important aspects of the visualization.
Don’t try to deceive: be honest and transparent in your visualization and storytelling.
Exploratory visualization reveals insights: use it to explore data and find patterns.
Explanatory visualization tells a story: use it to tell a clear and concise story with your data.
Foundation, focus, and forward plans are key: establish a foundation, focus attention, and plan a call to action.
Data visualization is not just for analysis: it’s a way to communicate data insights to others.
Consider your audience: tailor your visualization and storytelling to your audience’s needs and preferences.

Marysia Winkels - Data Storytelling through Visualization | PyData London 2023

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