Techniques

[edit] Statistical techniques

Visualization guide: Explore common visualizations, how to best leverage them for what you want to show, and learn design guidelines and pitfalls.

Design solutions to various design problems using techniques such as Pareto charts and micrographs.

Design considerations to keep in mind when visualizing data and information.

Design cases Curious about how to handle specific solutions to specific problems? Check out this resource.

Normalize Data: Stating data in context of a common bases can simplify interpretation.

Time Series: Indexing to a base year can enhance information being presented.

Sanity Checks: Quick comparisons to known facts/expected outcomes can reduce early misdirection.

Break Problems into Component Parts: Help identify which inputs are impacts outcomes most significantly.

Forecasting: Predicting the future, use with care

Senario/What if Planning: Evaluating the many possible outcomes and the corresponding strategy

Data Mining Techniques to identify previously unkown patterns in your data

Benchmarking: Add context to your analysis