Out of the box, Power BI gives you access to many common data visualizations. Sometimes the basic charts don’t get you to where you need to go. Luckily, Microsoft and the Power BI community created custom visualizations that will be available to you. I am going to give you a quick primer on how to access those and then let you know what my favorite visualizations are.
Tableau Public is a free tool to share your visualizations with the world. One question we often here is how do you refresh data for a Tableau Public visualization. Tableau Public will do an automatic, nightly refresh data of Google Sheets data, no extra work on your side. However, there is a bit of additional work required in order to automatically refresh your Google Sheets data. In our example we are pulling data from a AWS Redshift database using Python version 3.6
A question I get often is how to filter reports in Power BI. Well, there are many ways to filter your data in Power BI. I am going to walk you through the three ways to filter your dashboards using Power BI: Slicer, Page Level Filters, and Report Level Filters.
Analyzing dates in Power BI is quick and easy. There are just a few things you need to know to format dates.
Dual Axes Definition
Dual axes are two independent axes that are layered on top of each other. According to Tableau, dual axes allow you to compare multiple measures. Dual axes are useful when you have two measures that have different scales.
Ever wondered how data scientists and data analysts use Tableau for predictive analytics? The ability to integrate R into Tableau is powerful functionality. For those familiar with using R, it can be tricky to get started. Here's how to get started with the R Integration.
I had the opportunity to attend the 2016 Tableau Conference in Austin, TX. Every year at the conference, Tableau announces and demoes new functionality that will be released in upcoming builds. Here are some of the new, exciting features coming down the pipeline.
Level of detail expressions (which are sometimes also referred to as "LOD Expressions" or "LOD Calculations") are an advanced analytics feature in Tableau. LOD Expressions are useful for cohort analysis or looking at averages or totals across segements.
At the 2016 ASAE Annual Meeting & Expo, Gwen Fortune-Blakely (Enterprise-wide Marketing Director) and Leslie Katz ( Marketing Director) with the American Speech-Language-Hearing Association (ASHA) presented an amazing session on how ASHA is using propensity modeling to move people up the continuum of engagement to drive revenue and membership. Here's a quick overview of what you need to know about propensity modeling and how it can help your association.