Pie Charts are evil? Well, given the correct situation, pie charts can be used to your advantage. The following case study uses Power BI samples to provide recommendations to get the most out an often misused visualization.
Visualizations can make even the most mundane information more accessible and easier to digest. I put together these two facts to make a visualization out of my lesson plan that the students could take away as a memory jogger when they get back to their offices.
Data visualizations can become the vehicle that leads a reader through your narrative. Having an infographic or series of visuals allows one to tell a story and provide greater understanding than simply having text alone.
You can improve your data visualizations productivity by using the built-in table functionality available in Excel. This tutorial and sample Excel workbook, available on GitHub, will move you from raw table to interactive analysis in less than 5 minutes.
The date dimension is the table that controls your time analysis and the most important to get right, especially with PowerBI and other visualization tools. Having various tags and descriptors that aid in your analysis gives your end users several options in creating their visualizations in addition to a base for DAX time intelligence calculations.
There are times when, as a consultant, you have to produce a demo or training database that has no relation to the client that you are doing the work for. This can be due to security or confidentiality of the data. I try to produce training and samples that at least have realistic values so that the people involved have a frame of reference.
There are many formats that you can write documentation in for the Web. For GitHub projects, Markdown is an accessible format that is cross-platform and compatible with many web editors and CMS systems. This article shows how to add a Wiki to your GitHub project, write in markdown, and convert HTML documentation to the Markdown format.
If you have an excel table that is built for data entry, it may not be in the best format for data analysis or your data model. By using Query Editor, you can keep the original table and create a version that you can use for analysis as a dimensional fact table.