Visualize the data: How missing data biases data-driven decisions

from blog This is important, | ↗ original
This is the fourth post in a series about how missing data can bias data-driven decisions. Start at the beginning: What’s missing? Reduce bias by addressing data gaps in your analysis process. Visualizing data is crucial to communicate the results of a data analysis process. Whether you use a chart, a table, a list of raw data, or a...