After a long career in the hospitality sector, Alessandro discovered The Information Lab thanks to a demonstration carried out at the University of West London, where he graduated in hospitality management. Alessandro was positively impressed by the hiring process of The Information Lab, which was based on the creation of a project rather than being tied with
Since then Alessandro has pursued a career change towards data
Tableau dashboard offers the ability to apply filters onto the view. Usually, this appears by dropdown, slider, or tick boxes. Wouldn’t be nice to have buttons with this functionality instead? In this blog post, I will explain this process step by step.
During the latest DS client project, I have implemented a functionality that allows highlighting a certain number of marks (in this example a Top-N bar chart) and dynamically displays the cumulative weight of these highlighted marks as a percentage of the total. In this blogpost I will explain how to achieve it.
Before joining the DS I remember reading Dashboard Weeks posts in the blog, and often I came across articles about challenges using another visualisation tool than Tableau. The last articles I remember were based on PowerBI, so I was expecting that one of our Dashboard week day would be based on this software….
Some types of table calculations allow the end user to define what the calculation is relative to. This choice can be done from the Table Calculation pop-up, or by right clicking on the specific measure pill. But how can you make this choice dynamic? perhaps controllable from a drop-down menu?
At the end of my latest blog post, Dashboard Week Day 1: NHS Trusts, I wished that our next challenge for Dashboard week would be more concentrated on design.
It seems like my wish came true, since Andy for today task, asked us to create an infographic dashboard using data on The Avengers comic books series.
For the first day of our Dashboard week, Andy challenged us to gather and analyse data on the spend over £25K at NHS Trusts.
The data was scattered over 391 different URLs, each containing multiple files (often in different formats)
During this week my fellow cohortians and I have delivered a teaching session open to the public. This initiative is called Learn what the data school learns. Find out my impressions!
Last week we had another break from usual client projects. Instead, the main topic for all the week has been web scraping and APIs. These topics were taught to us by Andre.
This, of course, was a big hint on what to expect for the Friday project presentation session. In fact, last week, my fellow DSers and I have been given the task to produce a visualisation based on data obtained by either web scraping a site or API calls.
Last week DS 13 has got a break from client project, so our Friday activity consisted of a dashboard project, as it has been during the first month of Data School.
The project consisted of analysing the data that Andy
downloaded from its Strava Account. Over 1400 sports activities during a 7
During one of our client projects, we were given a challenge, which consisted of merging 2 different shapefiles, in order to visualise them in Tableau. These files corresponded to the same area, one containing the other (e.g Counties within Regions). In this blog post, I will describe this process, using Italian Regions and Provinces (sub-areas of Regions).
Last week I wrote a blog post in which I explained the work that my fellow DSers and I have carried out for our first client project at the Data School. This week, instead I will focus on the difficulties I have encountered during our second client project and how these reflected in my actual presentation.
Last Friday, I and my fellows DSers presented our first client project since the beginning of our studies. So far, every Friday, we had the opportunity to watch DS12 client project presentations, while we would produce a presentation based on some data provided by our coaches, but not linked to any specific client. Hence, this represented an important milestone for our cohort, from now on this will become our weekly routine.
This Tuesday I undertook and successfully passed the Tableau QA exam. In this post, I would like to explain the process, as it may help future candidates.
Last Friday’s project challenged us to practice the two main topics covered during week 4, Table Calculation in Tableau and Macros in Alteryx.
The task aim was to reproduce as many table calculations as possible in Alteryx, transforming them in dynamic macros.
In this post, I would like to show the calculations I’ve managed to reproduce in the time span of 4 hours.
A parameter is a user-generated list of values which may or may not be present in the original dataset.
Last week DS13 project involved the creation of a dashboard using historical shares data downloaded from finance.yahoo.com. Each of us was assigned a public-listed company with the aim of producing a visualisation which would convince the audience to invest in this company.
Last Thursday, Carl gave us a valuable lesson on the use of colour when displaying data in a hypothetical working environment.
Andy some days ago wrote a blog post called What did it take to get into DS13?, this made me reflect about my experience of the hiring process, which I’d like to share here for potential new candidates.