Data Visualization in Python
Over the past few years Python has become one of the most used languages for data exploration. The language has been extended with libraries for data wrangling, statistics, machine learning, and of course data visualization.In this talk I'll give an overview os Python as a language for data. And will show the existing libraries for different types of visualization. This includes libraries for interactive plots, maps, 3-D charts, and even to plot galaxies.
Visualising The Intricacies of Cancer
Nowadays, Cancer is no longer fought just under the microscope, it is in fact battled by clinical researchers employing huge racks of microchips. With the great vastness of data comes increased complexity and an ever-growing demand in processing and analysis. Data Visualisations can prove a valuable tool for researchers to dive into regions of interest on-the-fly and identify hidden correlations between clinical measures. We are presenting the case of visualising the trends in prostate cancer patient data and how clinicians can be empowered to readily recognise edge cases and identify similar patients.
Visualising the Black Box
Explaining Data Science as a concept is nearly as difficult as understanding the “black box” machine learning models that are its hallmark.
In this talk Fergus will explore how he uses different visualisation techniques and tools to understand natural language processing models at Capital One.
Do Tyres Dream of Electric Clouds?
Tyres are the only physical connection between a
car and the road, and have traditionally been the least connected part of
increasingly complex vehicles, until now.
Connesso is an IoT product that provides the
driver with information on the tyre operating conditions by exploiting a set of
sensors mounted in the Pirelli tyres tread groove.
The on-board sensors report pressure,
temperature, and load data to the Pirelli cloud via a receiver unit connected
with bluetooth to a mobile app.
Real-time analytics and visualization of
available data enable the system to report tyre consumption, residual mileage,
maintenance status and potential breakdowns.
For the first time in history, tyres have a
voice. Do they also have dreams?
Visualising the 2017 General Election at the Telegraph
Data journalist Patrick Scott explains how the Telegraph's General Election results page and innovative machine learning predictor model was built.
Using data visualisation to get results (and influence people)
Nick will join us to discuss how you can use data visualisation to get results (and influence people).
The Data Behind our Corporate Strategy
Universities are large and complex organisations that need to balance numerous metrics in order to deliver excellence in teaching and research. Over the last 10 years the University of Exeter has developed and delivered on a number of corporate strategies aimed at making it a world-class organisation but providing the data and intelligence to justify and then measure the success of these strategies is a huge challenge in its own right. In this presentation, we will outline the steps we have taken to address these challenges and the importance of data visualisation in telling the University of Exeter's story.
Making a Mess of Scientific and Technical Visualisation (and reasons not to)
We’ve all seen charts, diagrams and maps that clearly contain errors. And none of us can claim to immediately, sometimes ever, grasp the meaning of visualisations from disciplines remote from our own expertise. When these illustrations were accompanied by detailed explanatory text most decision makers could get away with a quick glance at the figures and then read the text. Today, the demand for decisions driven by scientific facts and latest data require ideas and quantities to be communicated with precision. Yet it’s unrealistic for all managers to be familiar with the endless conventions and assumption in the presentation of scientific and technical data. So, I’ll present a few ways to make a mess of visualisation and approaches to avoiding mistakes without having to become an expert.
Rapid Prototyping of Data Visualizations
We will present the many benefits of rapidly prototyping visualizations at early stages in a project. Indeed, building visual wireframes and low fidelity mockups allow more communications within and between teams, at low cost, and is possible if data are not available yet. This talk will also present how to progressively refine visualizations prototypes into more complex, interactive visualizations when design is settled and data become available, and how to implement them in D3 for the Web.
PANEL: The State of Visual Analytics and the Next Innovations in Data Visualisation
This panel will discuss what data visualisation is and the role of visual analytics in understanding complex information.
Stylianos Kampakis - Data Scientist, Royal Statistical Society
Nikos Katsikanis - Data & Programming Expert
Thomas Alisi - Solutions Architect - Pirelli
Registration & Light Breakfast
The state of data visualisation on the web
Nikos takes his audience on a whistle-stop tour of recent trends in 2D and 3D visualisation on the Web. He covers D3, NVD3, Vega, Kibana, Babylon and some of the latest projects coming from Uber.
Building a Near-Real-Time Website KPIs Monitoring Tool
Constantly monitoring your operational metrics against the goals you have definedHow to build a tool that draws your attention to deviations from plans in near real-time and helps you respond to events, issues and trends immediately as they occur on your B2C website.
Decision Centred Visualisation: A Practical Guide
Data visualisation development should incorporate decision makers to ensure the best possible solution. This talk outlines some techniques that analysts and developers can deploy to ensure their visualisations are not left on the shelf.
Open Data: Open Conversations
More and more data is becoming available through open data initiatives and technology innovations meaning policy and decision makers can develop a much deeper understanding of our citizens and the context in which they are living their lives.
The talk will focus on the digital data products we are developing within our DWP Digital data science Hub. How we leverage the power of data visualisation to change relationships with data and make our organisation more effective and efficient.
These bespoke applications change transactional data investigations into proactive conversational ones and facilitate open policy making and strategy.
Charting Collections of Connections in Social Media: Creating Maps & Measures with NodeXL
Networks are a data structure commonly found in any social media service that allows populations to author collections of connections. The Social Media Research Foundation's NodeXL project makes analysis of social media networks accessible to most users of the Excel spreadsheet application. With NodeXL, network charts become as easy to create as pie charts. Recent research created by applying the tool to a range of social media networks has already revealed the variations in network structures present in online social spaces. A review of the tool and images of Twitter, flickr, YouTube, Facebook and email networks will be presented.