Apart from data visualization, other methods that can aid in making robust decisions include statistical analysis, predictive modeling, data mining, and machine learning algorithms. These methods can help identify patterns, trends, and correlations in data that may not be immediately apparent through visualization. Additionally, using decision trees, scenario analysis, and sensitivity analysis can also aid in decision-making by providing a structured approach to evaluate different options and their potential outcomes.
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