Analyzing large datasets is key to uncovering insights that drive informed decisions. But when you're dealing with thousands of data points, finding what matters most can feel like searching for a needle in a haystack. Traditional analysis methods often become time-consuming and inefficient. This is where Grapher’s dynamic data filtering tools come in. With Grapher, you can rapidly sift through large volumes of data to identify the crucial information needed for clear, insightful visualizations—saving time and enhancing the depth of your analysis.
Richard “Rick” Koehler, PhD, PH, M.EWRI, A.M.ASCE, and CEO of Visual Data Analytics LLC, knows this approach well. He regularly works with extensive hydrologic time series data and uses Grapher’s filtering capabilities to streamline both his analysis and visualization processes.
In this webinar Rick shares his expert data filtering strategies and demonstrates how he uses Grapher to turn complex datasets into compelling, decision-ready visualizations.
Links Mentioned
- 39:57 | Grapher help | Piper Plot and Piper Class Scatter Plot
- 39:58 | Grapher help | Durov and Durov Class Plots
- 40:00 | Grapher help | Ternary Line, Scatter, and Line/Scatter Plots
- 40:04 | Golden Software Knowledge Base | Search for "ternary"
- 42:22 | Grapher system requirements
- 43:00 | Grapher help | SetDataFilter Method
- 43:14 | Grapher help | Template Graphs
- Golden Software Knowledge Base | Search for "Grapher template"
- 43:35 | Grapher help | SetDataFilter Method
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