Overview
This is the eighth blog post in our crash course series on Flow. In this blog post, I provide an introduction to HyperCube Visualizations and Multi-dimensional HyperCube Tables in the Flow Computing Framework.
Overview
Flow enables you to build dashboards containing a variety of elements including tables, charts, reports, and data summaries, among others. This post focuses on two methods you can use to build, populate, and update dashboards. I show how to add a new dashboard, then how to create and add chart result using one of the sample datasets provided. Next, I provide an in-depth discussion of adding workflow generated results to a dashboard.
Overview
In this post, we'll build a six-step workflow that produces Pivot Table and Table results. It shows how to load data, use expressions to derive time-period values from a date field, build a hypercube using those time-period values as dimensions and, finally, how to create and view pivot table and table results using the hypercube.
Overview
This post presents a basic introduction to multi-dimensional analysis and analytics-oriented processing using Flow. It discusses data sets, measures, dimensions, and hypercubes; then it provides a step-by-step example of building a workflow to analyze some fictional A/B test data.