Joe Beaven

Joe was introduced to Tableau by The Information Lab at a careers event just before graduating with a BA in Earth Sciences from the University of Cambridge. He then became familiar with geospatial data in his first role after university working at the UK Hydrographic Office, the government office for maritime data. Working in a highly visual space encouraged Joe to become more involved with data visualisation, developing his Tableau skills in his spare time. He is looking forward to applying data analytics in areas of previous experience such as across the Energy and Marine sectors.

One-year-on Part III: US Population Change

Last week I wrote about my ideas on redesigning my second ever viz on the cost of beer at MLB games. Here I talk through what I came up with and my ideas for my third reviz on US Population Predictions.

Reflections on The Data School

So today is our penultimate day at The Data School and we’ve been asked to reflect on our time in training. In this blog I look back at my first blog, ‘Expectations of The Data School’, and write about what I didn’t expect.

One-year-on Part II: Cost of Beer at MLB Grounds

So I finally got round to redesigning my first ever viz on Tableau Public using Makeover Monday’s dataset on Women in the House of Representatives. In this blog, I recap my reviz and move on to my second ever viz – Cost of Beer at MLB Grounds.

One-year-on Part I: Women in the House of Representatives

Two weeks ago marked one year since I posted my first Viz to Tableau Public. Looking back over my old work, I always think ‘this could have been more insightful’; ‘this could have used something I’ve learnt since’ or ‘what was I even thinking?!’. So, I decided to reviz my old work ‘one-year-on’.

Layout Containers – how to get your Item Hierarchy under control

When building complex dashboards in Tableau, it is often not possible to drop sheets exactly where you want them.

Tableau’s Layout Containers allow you to solve these issues and build clean dashboards. Unfortunately, they are not always the most intuitive, and I am probably not the only person who has simply dragged worksheets onto a dashboard until they look ‘about right’.

In this blog, I answer what is a layout container? What is the difference between horizontal and vertical containers? And how can Layout Containers be used when dashboarding?

Dashboard Week #4: Unwanted Call data (+ Power BI)

Today's challenge was different from the first three days of Dashboard Week in two ways. 1. We had to use Tableau Prep over Alteryx, 2. We were not allowed to use Tableau Desktop as our visualisation tool. The data was from the Federal Communications Commission who...

Dashboard Week #3: Indian Electricity Network

Today we were tasked to download data from Harvard Dataverse on electricity in India. The data was survey based (again). Respondents were asked about their energy source, their perceptions to energy use as well as background such as employment and where they lived....

Dashboard Week #2: Web Scraping the Rules of Parliament

Today's challenge was based on Rules of Parliament and involved getting data from The only problem was, we weren't allowed to download any data. Instead, all the information we needed had to be scraped from the website directly. Getting the data:The...

Dashboard Week #1: Survey Data

This week is the infamous Dashboard Week for DS16. Every day this week we will be given data at the start of the data. The challenge is to carry out any manipulation required in Alteryx, find a story and build a dashboard in Tableau which has to be published to...

Include a row outside of your Top N when mark is selected on a different sheet

Due to limited space on dashboards, charts with many marks are often cut down to a view which shows the Top 10 or 20 marks. Sometimes we might want to investigate a mark outside of the Top N and see this included on our view. This blog outlines how to build this functionality for both bar charts and sparklines with a use case from Makeover Monday.

Drilldown into data (with formatting and tooltip tricks)

Often on a dashboard in Tableau there is not enough space to display all the levels of detail in your dataset. Set Action drilldowns allow the user to see a lower level of granularity before investigating the underlying data. This blog outlines how to build a bar chart drilldown. I then explain how to build different variations on design including how to show the maximum data point in the underlying data; drilldown arrow headers and vertical titles for the selected header.

Chained Analytical Apps

Chained Analytical Apps are composed of multiple apps that run sequentially allowing a more intuitive user experience. They work by using the output from an initial app as the input for a secondary app and so on. In this blog, I outline a use case for Chained Analytical Apps and how to build them.

Site Roles in Tableau Server

On Tableau Server, there are two main ways to limit content available to certain users – Site Roles and Permissions. Site Roles apply to Users rather than Projects. In this blog, I explain this difference and the different Site Roles available on Tableau Server.

Reflections on Iron Viz

Last week was our first week-long project – creating individual entries for Tableau’s international Iron Viz competition. In this blog, I talk through my final submission. With my project lead coming up next week, I also reflect on the challenges of working to make dashboards over a week.

Tableau File Formats

When saving work from Tableau, just like Excel, there are a lot of file types to choose from. Up until today, I had mainly taken a guess at which option to go for so I was interested to talk through the differences on Tuesday. In this blog, I will try to outline these different file types encountered when working with Tableau to help users choose the right file format for their intended purpose.