First steps into the Internet of Things – Meetup 25th August

Hello guys,

I am joining forces with Bob Yelland (IBM) again to organise a joint meetup. I say again as we organised a joint session a few months back between the Big Data Developers in London and the Data+Visual meet up. I even gave a talk on that one, about “Data Visualisation: The good, the bad and the ugly” Unlike the previous one, we are actually physically joining the attendees rather than having parallel sessions.

The event is now live and it will take place on the 25th of August. Shall I see you there?

On the Skills Matter site:  https://skillsmatter.com/meetups/8259-datapalooza-nights-meetup#overview

and the MeetUp site: https://www.meetup.com/Big-Data-Developers-in-London/events/232919166/

 

Datapalooza IoT

Data+Visual Meetup – “Data Visualisation: The good, the bad and the ugly”

Last week I had the opportunity not only of hosting, but also of speaking at the Data+Visual Meetup organised by Eric Hannell. The occasion was well attended and not just by those interested in data visualisation, but also in big data as the Big Data Developers in London meetup took place concurrently.

The Data+Visual started up with a talk by Andy Kriebel and his Makeover Monday project:

In 2016 Andy Cotgreave will be joining me on the weekly #MakeoverMonday series so that we can compare how we each quickly take a foreign data set and turn it into a more meaningful visualisation. We’re also very curious to see our different approaches.

I took the open invite that Andy has made to take part, and I have posted my first Makeover Monday visualisation.

As for my talk, well, I wanted to use it  as a reminder of the uses that visualisation of data and information has in every-day life and of the best practices that one should bear in mind when putting together a visual. Since data visualisation can be used (among other things) for:

  • Answer questions
  • Make decisions
  • See data in context
  • Support graphical calculation
  • Find patterns
  • Present an argument
  • Tell a story
  • Inspire

we should take into account how the visualisation is going to be consumed, the audience and the message that we want to transmit. During the talk I showed some examples where data visualisation has been used effectively, but also some where it has’t (and how they could be improved). The aim is not to criticise (no-one deliberately goes out of their way to make a bad visual), but to learn.

Enjoy and catch you soon.