Interactive real-time data visualisation exhibited at Museum of London


© Tekja Data Visualisation - Pulse real-time data exhibit

Teliing the stories of London through data


Ever wondered what Londoners are talking about, what emojis they are using most - and which they use to describe the hot topics of 2017 (like Trump, Theresa May, Brexit)? Pulse, a real-time installation streaming, collecting and visualising London’s data at the Museum of London for 9 months will reveal exactly that.

Visualising and analysing big data in real-time


Pulse collects, analyses and displays all the geo-located tweets in Greater London. The installation will run 24/7 for 9 months, until April 2018, telling the stories of Londoners through an estimated 17 million tweets. On average people in London use 12 words per tweet, meaning we will be analysing around 210 million words, and a total of 8 million emojis.

Selected Press features:



First major findings - Corbyn vs May, an unexpected election result:



© Tekja Data Visualisation - Map of the most popular emojis per borough the day after the June 2017 UK general election

We analysed 100,000 tweets the day after the shock UK election in June 2017, where the Conservative party, led by Theresa May, failed to gain the majority they were aiming for and many expected they would win, whilst Labour, led by Jeremy Corbyn, gained many more seats than anticipated, the following are the key points from our analysis:

  • At least one person in five on Twitter in London were talking about the election in the immediate aftermath.
  • The volume of mentions of words linked to the Conservative party grew from 2.5% of overall traffic on the announcement day, to 3.7% on the days before the election, to 8.1% on the days after the election.
  • The volume of mentions of words linked to the Labour party grew from 1.8% of overall traffic on the announcement day, from 4.8% on the days before the election, to 6.5% on the days after the election.
  • Compared to ‘labour’ words, words related to the Conservative party were more talked about on the announcement day and just after the election, whilst words related to the Labour party had a stronger share of traffic on the election day / just before the election.
  • A major change in mentions was detected (200% gain) on tweets containing the word ‘Theresa’ just after the election. The sentiment around ‘Theresa May’ was of 5% more negative after the election (26% positive, 35% negative and 39% neutral tweets) when compared to before (27% positive, 30% negative and 43% neutral tweets).
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The Technology

Pulse is powered by Websocket and REST APIs connecting to live data feeds.
Visualised and brought to life using D3.js and leaflet.js.