Lies, Damned Lies & Dataviz
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Data visualization is everywhere in the business world, from boardrooms to newspapers to data centres. But not all graphs and charts are as clear as they could be. Many are simply misleading, and the volume and variety of data available today can get in the way of clarity and veracity.
This talk will walk you through some of the fundamental mistakes that can obscure the message, or even result in the viewer taking away entirely wrong conclusions. Afterwards, you will be able to spot when a graphic is misleading or poorly constructed, and avoid making the same mistakes yourself.
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- Scaling up k-nearest neighbours classification (SkillsCast recorded in December 2013)
- Elasticsearch for Developers with Itamar Syn-Hershko (in London on 23rd - 25th September 2019)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
- Ethics in Artificial Intelligence (in London on 23rd July 2019)
- Intro to Natural Language Processing (NLP) (in London on 23rd July 2019)
- How real-time data processing is used for application in customer experience? (SkillsCast recorded in July 2019)
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Thanks to our sponsors
Lies, Damned Lies & Dataviz
Andrew Clegg
Andrew is Director of Learner Analytics & Data Science at Pearson, where he applies machine learning, statistical analysis and data visualization techniques to the challenges of 21st century education.
Please log in to watch this conference skillscast.
Data visualization is everywhere in the business world, from boardrooms to newspapers to data centres. But not all graphs and charts are as clear as they could be. Many are simply misleading, and the volume and variety of data available today can get in the way of clarity and veracity.
This talk will walk you through some of the fundamental mistakes that can obscure the message, or even result in the viewer taking away entirely wrong conclusions. Afterwards, you will be able to spot when a graphic is misleading or poorly constructed, and avoid making the same mistakes yourself.
YOU MAY ALSO LIKE:
- Scaling up k-nearest neighbours classification (SkillsCast recorded in December 2013)
- Elasticsearch for Developers with Itamar Syn-Hershko (in London on 23rd - 25th September 2019)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
- Ethics in Artificial Intelligence (in London on 23rd July 2019)
- Intro to Natural Language Processing (NLP) (in London on 23rd July 2019)
- How real-time data processing is used for application in customer experience? (SkillsCast recorded in July 2019)
- A Look at the technology of LUNO and Adjust (SkillsCast recorded in July 2019)
Thanks to our sponsors
Lies, Damned Lies & Dataviz
Andrew Clegg
Andrew is Director of Learner Analytics & Data Science at Pearson, where he applies machine learning, statistical analysis and data visualization techniques to the challenges of 21st century education.