#WOW2022 Week 41: Can you do YoY comparisons?

Introduction Welcome to week 2 of #WOW2022 community month! I’m excited to have Liam Huffman joining me for this week’s challenge. Liam is a fellow colleague at Evolytics and is a great member of the #datafam! With that – here’s Liam Hey everyone! I’m excited to be here sharing my challenge dashboard. This one focuses …

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2022 Week 41 | Power BI: Likert Scale and Net Promoter Score (NPS)

Introduction This month we are getting the #WorkoutWednesday community involved in the challenges with Community Month. Each week we’re going to have an outstanding member of our community present a challenge. This week we have Gerard Duggan from sunny down under (Australia). Gerard rocks the Power BI community showing us how to present outstanding analysis …

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#WOW2022 W40: Power BI: Field Parameters with Conditional Formatting

Introduction This month we are getting the #WorkoutWednesday community involved in the challenges with Community Month. Each week we’re going to have an outstanding member of our community present a challenge. This week we have one of the best out there, Sekou Tyler, gracing us with his presence. Sekou is an accomplished BI professional and …

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#WOW2022 | Week 40 | Applying Accessibility Principles to Data Visualization

Introduction October is Community Month here at Workout Wednesday. This means that each challenge will be brought to you by a guest coach from our wonderful data community Kicking things off this week, we have a challenge by Collin Smith (@collinalldata).  “Have you ever tried to incorporate accessibility into a Tableau dashboard? Incorporating accessibility into our …

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2022 – Week 39: Where were COVID-19 Cases most active on December 30th, 2021?

Introduction This week we’ll look back at COVID-19 cases in the continental United States on December 30th, 2021. In this challenge you will use data from covidactnow.org to show where cases were most prevalent in terms of cases per 100,000. The data for this challenge are already pre-loaded in a workbook. They include the COVID-19 …

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Error Bars showing standard deviation from the average

2022 Week 39 | Power BI: Use error bars to show statistical ranges

Introduction We first looked at error bars in week 28. But error bars have several formatting features and can be used in several types of visuals. This week, we are going to use error bars to show a dynamically populated range around an average.  Requirements Calculate the average height and standard deviation for the heights. …

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2022 Week 38 | Power BI: Create a Waterfall Pipeline

Introduction Welcome back to Workout Wednesday! This week we’re collaborating with the Tableau team to create a waterfall pipeline using Salesforce data. Lorna Brown, the creator of the challenge is attending Saleforce’s Dreamforce conference, hence the nature of the challenge. We’re building a waterfall chart using the Simple Waterfall custom visual by Datanomy Limited. This week’s workout can be done in …

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#WOW2022 W38: Can you create a Waterfall Pipeline using Salesforce Data?

Introduction This week is Dreamforce; Salesforce’s conference. So I thought I would stay on theme and use Salesforce Data. When I first started to see Salesforce pre-built dashboards they included several elements, but the one we are going to focus on today is the Waterfall chart. This allows us to see how much value is …

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2022 Week 37 | Power BI: My First Deneb

Introduction I sit back every week and watch the other amazing members of the #WorkoutWednesday Power BI team go through Deneb challenges like it’s nothing. The visuals are fantastic, the customizations are intriguing, but the truth is – I’ve never done a Deneb visual! Until this week that is.    If you’re like me and …

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#WOW2022 Week 37: Can you create a common starting point?

Introduction This week’s challenge is focused on Level of Detail (LOD) calculations. We could probably build this chart using Table Calculations, but we’re not going to. Deliberate practice with some basic LODs. This also can be the basis for some cohort analysis, aligning various groups from different time periods on the same starting point. And …

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