{"id":23950,"date":"2025-05-15T07:00:00","date_gmt":"2025-05-15T11:00:00","guid":{"rendered":"https:\/\/cehhs.utk.edu\/elps\/?p=23950"},"modified":"2025-05-12T08:31:24","modified_gmt":"2025-05-12T12:31:24","slug":"power-bi-will-it-really-give-me-data-viz-superpowers","status":"publish","type":"post","link":"https:\/\/cehhs.utk.edu\/elps\/power-bi-will-it-really-give-me-data-viz-superpowers\/","title":{"rendered":"Power BI, Will It Really Give Me Data Viz Superpowers?"},"content":{"rendered":"\n
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What is Power BI? <\/strong><\/p>\n\n\n\n

Power BI is a powerful tool to visualize data.  <\/p>\n\n\n\n

It can take multiple large datasets, put them all together, transform them, perform calculations and help you create beautiful visualizations. Think of it as a data wrangler, organizer, and visualizer! Oftentimes, a collection of visualizations is created into a report.  <\/p>\n\n\n\n

My name is Jake Working, I am a third-year student in the ESM PhD program at UTK<\/a> and primarily use Power BI in my day job as a Data Analyst for Digital Learning at UTK<\/a>. I will briefly discuss some of Power BI\u2019s main functions and point you towards some resources if you want to learn more. <\/p>\n<\/div><\/div>\n\n\n\n

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Why use a data viz software?<\/strong> <\/p>\n\n\n\n

Before we jump into the software, you may be thinking, \u201cwhy go through all the trouble of learning another <\/em>software just to create visualizations? Aren\u2019t my [insert your software of choice here] visualizations good enough?\u201d <\/p>\n\n\n\n

Even when you get comfortable and quick in [your software of choice], at the end of the day, these programs’ primary functions are typically to store, present, or analyze your data, not bringing in data with the purpose of creating visualizations. <\/p>\n\n\n\n

The advantage of learning data visualization software like Power BI is that it is designed with visualization as its primary purpose<\/em>. If you have learned or even mastered creating visuals in another software, you can 100% learn and master visualization software like Power BI. <\/p>\n\n\n\n

What can Power BI do?<\/strong> <\/p>\n\n\n\n

First, Power BI is excellent at bringing in data. You can connect multiple large and different types of data sources to Power BI, transform them, and perform calculations as necessary to prepare visuals. <\/p>\n\n\n\n

For data sources, if you can access the data, Power BI can connect to or import it. Power BI can take flat files (ex. Excel, PDF, or CSV), pull direct (snapshot or live) from a database (ex. MySQL, Oracle, SQL Server), import from a website, R script, Python script, and so many more! Even if you have multiple data sources, you can load as many as you need in and create relationships <\/em>between your data sources.  <\/p>\n\n\n\n

Creating relationships serves as the backbone of your data model if you have multiple data sources. For example, say you have a data source with student demographic data and another with student course information. If both contain a unique identifier, such as their student ID, you can create a relationship between the data sources based on that student ID and Power BI will know which course information connects with which student in your demographic data.  <\/p>\n\n\n\n

Most of the mistakes within building a model occur at this step, and it is important to understand how and why you are building your model in a certain way or else you could sluggish, incorrect, or confusing output. I suggest reading Microsoft\u2019s overview of relationships<\/a> and then later this two-part blog post on Power BI data modeling best practices (part 1<\/a>, part 2<\/a>). Warning! This blog post is overly detailed for beginners, but extremely important information to avoid common Power BI pitfalls with relationships. I have had to deal with, and overcome, issues related to cardinality, filtering, and schema structure<\/a> that are discussed in the blog.  <\/p>\n\n\n\n

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An overview of Power BI\u2019s capabilities: bringing in multiple sources of data, cleaning data, creating relationships between data sources, and using the data to generate a visual report.<\/em> <\/p>\n\n\n\n

Once you have identified your dataset, Power BI has abilities to transform<\/em> your data into clean, workable, data within their Power Query<\/a> editor. This editor has functionalities like Excel such as updating data types, replacing values, creating new columns, and pivoting data. This is done using the Power Query GUI or its script language, M<\/a>. These transformation steps can be \u201csaved\u201d to your data source and performed on your data each time Power BI connects to or updates that data source. So, once you have cleaned up your data once, it is done automatically using the steps you already created! <\/p>\n\n\n\n

Power BI can then do complex calculations on your dataset once you\u2019ve loaded it in. It uses a function and reference library called Data Analysis Expressions (DAX, for short) that is like expressions used in Excel. Check out Microsoft\u2019s overview of how DAX can be used within Power BI<\/a> and the library of DAX functions<\/a>. In my use within Power BI, I mainly use calculated columns and measures.  <\/p>\n\n\n\n

For example, let\u2019s say I have a column in my data set that shows the date a form was submitted in this format: mm\/dd\/yyyy hr:min:sec. <\/em>If I want to count the number of forms submitted in the calendar year 2025 and display that value on my report, I can create a measure using the DAX functions. It would look something like this: <\/p>\n\n\n\n

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Finally, Power BI\u2019s main function is to create engaging visuals and reports to infer information from your data. Power BI has a workspace that allows you to easily select visuals, drag fields from your data into the visuals, and then edit or customize your visuals. The software is pre-loaded with many useful visuals, but you can search and download additional, user-created, visuals as well. Check out the image below showcasing Power BI\u2019s workspace.\u00a0<\/p>\n\n\n\n

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image from Microsoft (<\/em>source<\/em><\/a>)<\/em>\u00a0<\/p>\n\n\n\n

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Visuals can be used together (like in the image) to create a report. These reports can be published in a shareable environment through the Power BI Service so others can view the report. This is how companies create and distribute data reports! <\/p>\n\n\n\n

One exciting feature of Power BI is the ability to use and interact with Microsoft\u2019s AI, Copilot. Copilot is quite intelligent when it comes to understanding and using data and can even help build visuals and whole reports. Check out this three minute demo on Copilot within Power BI<\/a> to get a sense of its capabilities. <\/p>\n\n\n\n

I want to try!<\/strong> <\/p>\n\n\n\n

If you are interested in poking around Power BI to see if it could be useful for you, you can download the desktop version for free here<\/a>. I will note that even if you are working on personal projects and have data you want to create visuals from, it may be worth it to try Power BI! <\/p>\n\n\n\n

Microsoft has training<\/a>, videos<\/a>, sample data you can play with once you open the program, and a community forum<\/a> to help with any questions you may have.  <\/p>\n\n\n\n

Curious what Power BI can do? Check out some of the submissions from this year\u2019s Microsoft\u2019s Power BI Visualization World Championships<\/a>! <\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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