Reducing Bias
Explore how to recognize and reduce bias in data storytelling with Python Altair. Learn to check data integrity and design consistency to avoid misleading conclusions, enabling you to create accurate and trustworthy visualizations that convey complete and unbiased insights.
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A bias refers to our tendency to favor specific perspectives or opinions over others, resulting in skewed conclusions that may not accurately reflect reality. In data storytelling, a bias can occur when the way data is presented tilts toward a specific interpretation of the information. One example of data visualization bias is inappropriate graphs or chart scales.
Consider the following two techniques to reduce biases in a chart:
Checking the data
Checking the design elements ...