Dashboard Project Week 8, Web Scraping & APIs

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.

Dashboard Project Week 7, Analysing Strava Account

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 his Strava Account. Over 1400 sports activities during a 7 years time-span.

Alteryx Tip: Merge 2 Shape Files

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).

Second Client Project, First Imposter Syndrome Case

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.

DS13’s First Client Project

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.

A quick guide to Parameters

  A parameter is a user-generated list of values which may or may not be present in the original dataset. The first time I built one, I could not understand their functioning. In fact, if you only create a parameter, all you get is a dropdown of values which do not affect anything in the... Continue Reading →

Week 3 Project Public Trade Companies Stocks

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.

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