<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[The Data School RSS Feed]]></title><description><![CDATA[The Data School RSS Feed]]></description><link>https://www.thedataschool.co.uk</link><generator>GatsbyJS</generator><lastBuildDate>Tue, 14 Apr 2026 08:19:55 GMT</lastBuildDate><item><title><![CDATA[Data Modelling in Power BI and Power Query]]></title><description><![CDATA[Creating a data model in Power BI (PBI) can feel unfamiliar if you’re coming from Tableau. This blog provides a clear guide to how the data model in PBI works and highlights key differences compared to Tableau.

What is Data Modelling?

Data modelling is the process of defining how different tables connect and interact, allowing you to transform raw data into a structured output. A well-built model will ensure accurate calculations and a well-performing dashboard.

Key Differences between PBI & ]]></description><link>https://www.thedataschool.co.uk/george-rycroft/data-modelling-in-power-bi-and-power-query</link><guid isPermaLink="false">https://www.thedataschool.co.uk/george-rycroft/data-modelling-in-power-bi-and-power-query</guid><pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate><dc:creator>George Rycroft</dc:creator><image>https://images.unsplash.com/photo-1664526937033-fe2c11f1be25?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDJ8fGRhdGElMjBtb2RlbHxlbnwwfHx8fDE3NzYxNTI4OTd8MA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[Finding Multiples of 37 ... in Tableau Prep?]]></title><description><![CDATA[Tableau Prep Builder is Tableau's data preparation and transformation program, which is useful for reshaping your data before visualization. This month of training we have the benefit of being coached by Carl Allchin, who literally "wrote the book" on Tableau Prep.

With his expertise comes fascinating challenges that push the limits of what Tableau Prep, and data transformation software in general, is capable of. Yesterday, we were presented with a tiny dataset, consisting only of the numbers 1]]></description><link>https://www.thedataschool.co.uk/jacob-aronson/finding-multiples-of-37-in-tableau-prep</link><guid isPermaLink="false">https://www.thedataschool.co.uk/jacob-aronson/finding-multiples-of-37-in-tableau-prep</guid><pubDate>Mon, 13 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Jacob Aronson</dc:creator><image>https://images.unsplash.com/photo-1744975705191-6d53371d88b2?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDJ8fDM3fGVufDB8fHx8MTc3NTg0Mjk0M3ww&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[Alteryx Week 120: Popular Baby Names]]></title><description><![CDATA[Task:

Das Ziel besteht darin, für jedes Jahr im Zeitraum von 1880 bis 2017 die jeweils beliebtesten registrierten Babynamen für Jungen und Mädchen zu ermitteln und deren Häufigkeit zu bestimmen.

Data:

Challenge_120_start_file.yxmd

 1.  Data Input
     Einlesen der Ausgangsdaten.
 2.  Text to Columns
     Die Inhalte der Spalte Field_1 werden anhand des Kommas in mehrere Spalten aufgeteilt. Es werden 3 Spalten erstellt.
 3.  RegEx
     Extraktion des Jahres aus dem Dateinamen mithilfe eines R]]></description><link>https://www.thedataschool.co.uk/aschraf-aouina/alteryx-week-120-popular-baby-names</link><guid isPermaLink="false">https://www.thedataschool.co.uk/aschraf-aouina/alteryx-week-120-popular-baby-names</guid><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Aschraf Aouina</dc:creator><image>https://images.unsplash.com/photo-1527957557037-d079c24f24be?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDR8fGN8ZW58MHx8fHwxNzc1OTMxMjc5fDA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[Pivoting in Alteryx]]></title><description><![CDATA[Data is often not stored in the shape we need for analysis. It may be structured for data entry or storage, rather than aggregation or modelling. Pivoting refers to reshaping data so that it can be worked with more effectively. This usually means either converting columns into rows (wide to long reshaping) or rows into columns (long to wide). In Alteryx, the Transpose tool pivots columns to rows, while Cross Tab pivots rows to columns.


Transpose

The Transpose tool pivots columns to rows.

Ima]]></description><link>https://www.thedataschool.co.uk/shivam-wadhia/alteryxs-next-level-tools-2</link><guid isPermaLink="false">https://www.thedataschool.co.uk/shivam-wadhia/alteryxs-next-level-tools-2</guid><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Shivam Wadhia</dc:creator><image>https://www.thedataschool.co.uk/content/images/2026/04/bfeb4491-309b-4b7b-922b-7d12366488fe.png</image></item><item><title><![CDATA[Mastering Joins in Alteryx]]></title><description><![CDATA[In this blog, I will demonstrate common join methods using two sample data records in Alteryx. Most joins can be performed using the Join Tool. For more advanced scenarios, such as full outer joins, a combination of the Join Tool and Union Tool is required. Unlike Tableau or Power BI, joins in Alteryx are built in a more visual, step-by-step workflow.]]></description><link>https://www.thedataschool.co.uk/aschraf-aouina/joins-in-alteryx-2</link><guid isPermaLink="false">https://www.thedataschool.co.uk/aschraf-aouina/joins-in-alteryx-2</guid><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Aschraf Aouina</dc:creator><image>https://images.unsplash.com/photo-1597420065321-43cae28f9fac?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDEwNXx8Y2lyY2xlfGVufDB8fHx8MTc3NjAwNDg5MHww&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[How to create a parameter in Power BI - WOW#15/ 2023]]></title><description><![CDATA[If there is one thing you need to know about me, it is that I LOVE coffee, and let's just say this affinity towards coffee often results in my desk space getting progressively smaller throughout the day due to the number of mugs I collect.

So when we were tasked to complete this Workout Wednesday [Link]. Safe to say... I was intrigued.

My Output






During one of our Power BI sessions, we learned how to create parameters and slice the data in an interactive way, and this challenge. helped so]]></description><link>https://www.thedataschool.co.uk/arushi-pant/how-to-create-a-parameter-in-power-bi-wow-15-2023-2</link><guid isPermaLink="false">https://www.thedataschool.co.uk/arushi-pant/how-to-create-a-parameter-in-power-bi-wow-15-2023-2</guid><pubDate>Sat, 11 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Arushi Pant</dc:creator><image>https://images.unsplash.com/photo-1703871531465-e4856c557dfc?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDJ8fGlucHV0fGVufDB8fHx8MTc3NTkyNDUyM3ww&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[Cardinality in Power BI Models]]></title><description><![CDATA[Cardinality is the relationship between rows of data in separate tables within a data model. Its vital for determining how many times a value appears in a table and whether values are unique.

There are four types of cardinality which may be encountered in Power BI (and elsewhere):

 * Many to one
 * One to one
 * One to many
 * Many to many

One to one relationship

This is probably the easiest type to conceptualise. Suppose we have two tables within our data model and have an 'ID' column in bo]]></description><link>https://www.thedataschool.co.uk/harvey-lloyd-smith/cardinality-in-power-bi-models</link><guid isPermaLink="false">https://www.thedataschool.co.uk/harvey-lloyd-smith/cardinality-in-power-bi-models</guid><pubDate>Sat, 11 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Harvey Lloyd-Smith</dc:creator><image>https://images.unsplash.com/photo-1626418920498-09769b602e19?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDF8fG1hbnklMjB0byUyMG9uZXxlbnwwfHx8fDE3NzU5MTI3Mjl8MA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[How to reset all your parameters using one button]]></title><description><![CDATA[Have you ever wanted a simple button for your user to reset their parameters in one easy click? In this blog, learn how to do just that.]]></description><link>https://www.thedataschool.co.uk/francesca-plaskett/how-to-reset-all-your-parameters-using-one-button</link><guid isPermaLink="false">https://www.thedataschool.co.uk/francesca-plaskett/how-to-reset-all-your-parameters-using-one-button</guid><pubDate>Fri, 10 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Francesca Plaskett</dc:creator><image>https://www.thedataschool.co.uk/content/images/2026/04/Screenshot-2026-04-10-151738.png</image></item><item><title><![CDATA[Tableau Server or Cloud: Making the Right Call for Your Business]]></title><description><![CDATA[Once you’ve built a dashboard in Tableau Desktop, it only lives on your machine. To make it useful, you need a central hub where:

 * People can access it (via browser or mobile)
 * Data stays up to date (scheduled refreshes)
 * Access is controlled (right people see the right data)

That hub is either Tableau Cloud or Tableau Server. But which one should you pick?


Features of Cloud and Server



Feature

Tableau Cloud

Tableau Server

Hosting

Managed by Tableau (AWS)

Hosted by you (on-prem ]]></description><link>https://www.thedataschool.co.uk/vaishnavi-shankar/tableau-server-or-cloud-which-should-you-pick</link><guid isPermaLink="false">https://www.thedataschool.co.uk/vaishnavi-shankar/tableau-server-or-cloud-which-should-you-pick</guid><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Vaishnavi Shankar</dc:creator><image>https://images.unsplash.com/photo-1683322499436-f4383dd59f5a?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDF8fHNlcnZlcnxlbnwwfHx8fDE3NzU3NjA2NjN8MA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[Creating an in-chart multi-select filter action to implement a user-selected range]]></title><description><![CDATA[Best described by me as a 'click and drag' filter, this blog will explain how to create said filter to create ranges for other charts.]]></description><link>https://www.thedataschool.co.uk/francesca-plaskett/creating-an-in-chart-multi-select-filter-action-to-implement-a-user-selected-range</link><guid isPermaLink="false">https://www.thedataschool.co.uk/francesca-plaskett/creating-an-in-chart-multi-select-filter-action-to-implement-a-user-selected-range</guid><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Francesca Plaskett</dc:creator><image>https://www.thedataschool.co.uk/content/images/2026/04/Screenshot-2026-04-08-170626.png</image></item><item><title><![CDATA[Mindset Shift: From Tableau to Power BI]]></title><description><![CDATA[From One Chart to The Whole Page

In Tableau, you focus on one visual at a time in a Sheet. In Power BI, you design the Page all at once.

While Tableau requires you to manually set up 'Actions' to make charts talk to each other, Power BI does this automatically. They already know how to filter one another the moment you drop them on the canvas. Of course you can turn this function off.


Format Tools

In Tableau you usually right-click on the chart or a pill to change colors, fonts, or sizes. I]]></description><link>https://www.thedataschool.co.uk/shabnam-dost/mindset-shift-from-tableau-to-power-bi</link><guid isPermaLink="false">https://www.thedataschool.co.uk/shabnam-dost/mindset-shift-from-tableau-to-power-bi</guid><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Shabnam Dost</dc:creator><image/></item><item><title><![CDATA[Bus routes spatial Alteryx]]></title><description><![CDATA[Plotting London bus routes and the boroughs they travel through in Alteryx

This blog will go through step by step how to take Longitude and Latitude values that have a sequence (London bus stops) and use them to plot routes in Alteryx.

It will then show you how to see what areas these routes cross into and touch (boroughs)

The data I am starting with is London bus stop data. This data consists of the route code (bus number), the longitude and latitude of the bus stops,the sequence they go in ]]></description><link>https://www.thedataschool.co.uk/adil-ahmad/spatial-6</link><guid isPermaLink="false">https://www.thedataschool.co.uk/adil-ahmad/spatial-6</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Adil Ahmad</dc:creator><image/></item><item><title><![CDATA[A guide through Table Calculations, part 1.]]></title><description><![CDATA[Table calculations are among the last transformations that happen in the tableau order of operations.

But what are they?

Unlike calculated fields, table calculations operate on Tableau's cache.

Think of the cache as a ghost or a virtual table. When you bring dimensions or measures into the sheet view, Tableau queries the data source and transforms it into a virtual table based on the dimensions/ measures you have brought in.

Normally, when you create a calculated field (specifically a row-le]]></description><link>https://www.thedataschool.co.uk/arushi-pant/table-calculations-3</link><guid isPermaLink="false">https://www.thedataschool.co.uk/arushi-pant/table-calculations-3</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Arushi Pant</dc:creator><image>https://images.unsplash.com/photo-1774907323911-3322ba35a11e?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8YWxsfDExfHx8fHx8fHwxNzc1NjYyODE1fA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[Developing a Star Trek Dashboard Part 3: The Final Frontier (of my Alteryx Workflow)]]></title><description><![CDATA[Welcome back to my ongoing series about my passion project, building a dashboard using all of the dialogue from Star Trek: The Next Generation! When we left off, I was almost done with processing the original dataset I scraped, transforming it so that one row represented a single line of dialogue. For the kind of analysis I wanted on the dashboard, I needed things at the individual word level. This would let me answer questions like "who says the most words in season 2", "what species gets menti]]></description><link>https://www.thedataschool.co.uk/jacob-aronson/developing-a-star-trek-dashboard-part-2-adventures-in-dialogue-parsing-2</link><guid isPermaLink="false">https://www.thedataschool.co.uk/jacob-aronson/developing-a-star-trek-dashboard-part-2-adventures-in-dialogue-parsing-2</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Jacob Aronson</dc:creator><image>https://images.unsplash.com/photo-1566345984367-fa2ba5cedc17?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDh8fHNwYWNlfGVufDB8fHx8MTc3NTU3NDgyMnww&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[5 things I learned in 5 weeks at The Data School]]></title><description><![CDATA[It’s been just over 1 month since I joined the data school, and it’s been a whirlwind experience since day 1. From diving headfirst into unfamiliar tools to learning how to think more like an analyst, the past few weeks have been both challenging and incredibly rewarding.

In just over a month, I’ve already picked up lessons that go far beyond technical skills. It’s not just about learning Tableau or improving my data literacy - it’s about how to approach problems, communicate insights, and cont]]></description><link>https://www.thedataschool.co.uk/kate-loder/5-things-i-learned-in-5-weeks-at-the-data-school</link><guid isPermaLink="false">https://www.thedataschool.co.uk/kate-loder/5-things-i-learned-in-5-weeks-at-the-data-school</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Kate Loder</dc:creator><image>https://images.unsplash.com/photo-1757192420362-3629ce30d2e3?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDM1fHxsZXNzb25zfGVufDB8fHx8MTc3NTY1MzAyN3ww&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[Creating unique highlight colours for each category in Tableau]]></title><description><![CDATA[Have you ever wanted to use a highlight action with colours specific to the chosen category? Look no further to learn more.]]></description><link>https://www.thedataschool.co.uk/francesca-plaskett/creating-unique-highlight-colours-for-each-category-in-tableau</link><guid isPermaLink="false">https://www.thedataschool.co.uk/francesca-plaskett/creating-unique-highlight-colours-for-each-category-in-tableau</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Francesca Plaskett</dc:creator><image>https://www.thedataschool.co.uk/content/images/2026/04/Screenshot-2026-04-08-094702.png</image></item><item><title><![CDATA[Improving a Tableau Dashboard with Simple Design Changes]]></title><description><![CDATA[When building dashboards in Tableau, it’s easy to focus on the charts and forget about the overall design.

But small changes to things like colour, spacing, and layout can make a huge difference to how a dashboard feels.

To show this, I took a basic sales dashboard and made a few simple design improvements.


Before and After


Before


After


What Changed?

I didn’t rebuild anything from scratch. I focused on three things:

 * Colour
 * Padding
 * White space


Colour: Less Intensity, Improv]]></description><link>https://www.thedataschool.co.uk/martin-regan/improving-a-tableau-dashboard-with-simple-design-changes-2</link><guid isPermaLink="false">https://www.thedataschool.co.uk/martin-regan/improving-a-tableau-dashboard-with-simple-design-changes-2</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Martin Regan</dc:creator><image>https://images.unsplash.com/photo-1558655146-d09347e92766?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDV8fGRlc2lnbnxlbnwwfHx8fDE3NzU1NTUwMzB8MA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA["X" Marks the Spot: How to Create a Custom Image Map?]]></title><description><![CDATA[In a recent client project, there was a type of chart that I needed to make that I had never before. They wanted to see a map of all of their seats based on their office, providing only an image of their seating map to create it from. This would have some further interactivity with other charts on the dashboard, so they would need to be able to click on each valid spot on the seating map.

In order to do so, I needed to learn how to create a custom image map in Tableau. With some help from my co]]></description><link>https://www.thedataschool.co.uk/oscar-kriebel/x-marks-the-spot-how-to-create-a-custom-image-map-2</link><guid isPermaLink="false">https://www.thedataschool.co.uk/oscar-kriebel/x-marks-the-spot-how-to-create-a-custom-image-map-2</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Oscar Kriebel</dc:creator><image>https://images.unsplash.com/photo-1619468129361-605ebea04b44?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDF8fHBpbiUyMG1hcHxlbnwwfHx8fDE3NzQ5NTU2Nzd8MA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item><item><title><![CDATA[dbt Snapshots and Slowly Changing Dimensions (SCDs)]]></title><description><![CDATA[How to SCD in dbt. And what are snapshots anyway?]]></description><link>https://www.thedataschool.co.uk/matthias-albert/dbt-snapshots-and-slowly-changing-dimensions-scds</link><guid isPermaLink="false">https://www.thedataschool.co.uk/matthias-albert/dbt-snapshots-and-slowly-changing-dimensions-scds</guid><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Matthias Albert</dc:creator><image>https://www.thedataschool.co.uk/content/images/2026/04/dbt-scd-blog-cover-small.png</image></item><item><title><![CDATA[A Hidden Tableau Trick: Making Marks Invisible with a Transparent Colour]]></title><description><![CDATA[When building dashboards in Tableau, we often focus on colours to highlight insights. But sometimes, what you don’t see is just as important.

There are situations where you want marks to effectively disappear, whether that’s for cleaner layouts, hiding nulls that are necessary to keep in the view for calculations, or more advanced design techniques.

Tableau does have an opacity slider, but it doesn’t quite solve every use case. The good news is that there is a workaround: adding a fully transp]]></description><link>https://www.thedataschool.co.uk/martin-regan/a-hidden-tableau-trick-making-marks-invisible-with-a-transparent-colour</link><guid isPermaLink="false">https://www.thedataschool.co.uk/martin-regan/a-hidden-tableau-trick-making-marks-invisible-with-a-transparent-colour</guid><pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Martin Regan</dc:creator><image>https://images.unsplash.com/photo-1755722521990-7dbf21a2bc42?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wxMTc3M3wwfDF8c2VhcmNofDR8fHNlZSUyMHRocm91Z2h8ZW58MHx8fHwxNzc1NTU0MTkzfDA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=2000</image></item></channel></rss>