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Unbiased Analysis and Interpretation

Unbiased Analysis and Interpretation

Break down the fundamentals of bias in data storytelling.

There are several ways bias can trickle into data analysis and interpretation. Human cognitive biases can exacerbate and add issues in data processes, quickly leading data storytellers to tell false stories and their audiences to form incorrect conclusions. Bias is particularly challenging to enforce as a best practice because multiple forms of are difficult to detect. Let’s look at a few fundamental forms of bias that can influence data analysis and interpretation.

Data selection and analysis

Let’s briefly look at what types of biases can form during the data selection and analysis stages.

Selection bias

Selection bias occurs when the data samples we've gathered do not represent the real-world population. Data visualization can help identify forms of selection bias.

For example, data storytellers typically use variations of ...