Tableau is a data visualisation software that is used for creating a wide range of different visualisation to interactively present data and obtain insights. It has a very intuitive user interface and you don’t need any coding knowledge to work with it. For this tutorial we will be using Tableau Public which can be downloaded here.
We will be creating a spider map or origin-destination map that shows paths between our origins (RNLI stations) and destinations (call-outs). All the data you will need for this tutorial can be found here.
On 28 February 1823, Sir William Hillary made an impassioned appeal to the nation, calling for a service dedicated to saving lives at sea. That service was to become the Royal National Lifeboat Institution (RNLI).
Did you know?
- There are 238 lifeboat stations around the coasts of Great Britain, Ireland, the Isle of Man and Channel Islands.
- Tower Lifeboat Station on the River Thames in London is the RNLI’s busiest.
- There are 349 lifeboats in the RNLI fleet.
- The RNLI have 4,966 volunteers.
- It cost £176.5m to run the RNLI in 2017.
Last week we looked at using QGIS to create some visualisations using data from the Royal National Lifeboat Institution (RNLI) and Ordnance Survey. This week we will be taking the same datasets and working with them within Kepler, Uber’s new open source geospatial analysis tool.
KEPLER (Pt 1)
Kepler is great for creating a range of different visualisations easily and quickly, and to begin with we are going to look at creating a visualisation depicting where in the UK most emergency call-outs are made. To do this we will need to download the RNLI Return of Service data.
In an emergency the importance of location is critical. Knowing the precise whereabouts of an incident can be the difference between life and death.
The Royal National Lifeboat Institution (RNLI) are the charity that saves lives at sea. Responsible for saving over 140,000 lives since their formation in 1824 they work with a dedicated team of volunteers, staff and community fundraisers. They allow us to enjoy our shorelines and water, safe in the knowledge that in an emergency they will be there to assist us.
There is a lot of data behind the lifesaving and in 2017 RNLI teamed up with ESRI to create an open data portal to help share some of this data.