Here I list examples how Power BI core data visualizations can be quickly enhanced, only by using formatting options and simple measures. At least I consider these "tweaks" enhancements. I realize that sometimes we overlook enhancements of existing formatting options or do not find the time (or forget) to explore these enhancements or completely new formatting options. This article will be constantly updated 😎 # Adding the contribution of a segment to the total value of the stack (the column) inside a stacked column/bar chart I'm not a fan of pie charts because we have difficulty reading angles properly, but pie charts allow us to detect the contribution of a segment to the total value, which is a part of the whole visualization task. Since the December 2023 release of Power BI Desktop, adding a second value as a data label and ordering the segments of a stack has been possible. Maybe this will help reduce pie chart usage to a bare minimum. ![[Power BI - Data VIz Quick Wins - the enhancedstacked columnchart.png]] Adding percentage markers that indicate the cumulative percentage values can be done by using Deneb: [The (better) rectangular pie chart - Mincing Data - Gain Insight from Data (minceddata.info)](https://www.minceddata.info/2023/11/12/the-better-rectangular-pie-chart/) # Visualizing the spread of values inside a bar/column using Error bars I adhere to the "data density" party (according to Edward Tufte. For this reason, I always ask myself how to add more information to a visual, especially when I'm staring at a data visualization leveraging my favorite data visualization type: the bar chart (to be honest, the stacked bar chart). One way to add more data (information) to a bar or column is by leveraging the Error bars formatting option to visualize the minimum and maximum values of the underlying data. Nevertheless, I'm also aware that an information overload (I'm not talking about chart junk) results in a loss of focus; for this reason, the below image contains two versions. The right visual tries to put less emphasis on the error bar visualization. Because this whole article is about "keep it simple", I only mention that there is something called "Just noticeable difference" and provide a link to an article that provides an introduction 😉: [Modeling Just Noticeable Differences in Charts (uni-konstanz.de)](https://graphics.uni-konstanz.de/publikationen/Lu2022ModelNoticeable/index.html) The next image shows how the spread of values inside a bar/column chart can be easily implemented using Power BI's core visuals and two simple measures: ![[Power BI - Data Viz Quick Wins - Error bars spread of values.png]]