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Data Visualization Best Practices Part 2: Mistakes to Avoid

10 May 2016 by Lindsay Pinchot

Following the cardinal rules for visualizing data detailed in the first part of this blog series should have you on track for creating great data visualizations. However, be aware there are still pitfalls developers need to dodge. Let's explore a few common development mistakes and ways to avoid making them:

If you avoid these potential errors and adhere to the cardinal rules of data visualization, you'll consistently deliver effective data visualizations, reports and dashboards to users. Remember, the best data visualization is one that can be interpreted quickly, is intuitive and supports actionable analysis.

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About Lindsay Pinchot
Data Solutions Consultant

Lindsay has experience in all aspects of the business intelligence lifecycle, from data modeling and Extract, Transform, Load (ETL) to report and dashboard creation.

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