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I’m having a happy afternoon playing with differents ervices for visualising data. I am looking at ways of showing data for use in careers counselling. I have created a very simple data set of employment by SOC rates in Kent in the UK. My first tries are using the IBM alphaworks tool which has the merit of being very simple to use.
Here is a matrix chart:
and this is a bubble chart:
Cyborg patented?
Forbes reports that Microsoft has obtained a patent for a “conversational chatbot of a specific person” created from images, recordings, participation in social networks, emails, letters, etc., coupled with the possible generation of a 2D or 3D model of the person.
Racial bias in algorithms
From the UK Open Data Institute’s Week in Data newsletter
This week, Twitter apologised for racial bias within its image-cropping algorithm. The feature is designed to automatically crop images to highlight focal points – including faces. But, Twitter users discovered that, in practice, white faces were focused on, and black faces were cropped out. And, Twitter isn’t the only platform struggling with its algorithm – YouTube has also announced plans to bring back higher levels of human moderation for removing content, after its AI-centred approach resulted in over-censorship, with videos being removed at far higher rates than with human moderators.
Gap between rich and poor university students widest for 12 years
Via The Canary.
The gap between poor students and their more affluent peers attending university has widened to its largest point for 12 years, according to data published by the Department for Education (DfE).
Better-off pupils are significantly more likely to go to university than their more disadvantaged peers. And the gap between the two groups – 18.8 percentage points – is the widest it’s been since 2006/07.
The latest statistics show that 26.3% of pupils eligible for FSMs went on to university in 2018/19, compared with 45.1% of those who did not receive free meals. Only 12.7% of white British males who were eligible for FSMs went to university by the age of 19. The progression rate has fallen slightly for the first time since 2011/12, according to the DfE analysis.
Quality Training
From Raconteur. A recent report by global learning consultancy Kineo examined the learning intentions of 8,000 employees across 13 different industries. It found a huge gap between the quality of training offered and the needs of employees. Of those surveyed, 85 per cent said they , with only 16 per cent of employees finding the learning programmes offered by their employers effective.
Our Wikispace for teaching and learning
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We will be at Online Educa Berlin 2015. See the info above. The stream URL to play in your application is Stream URL or go to our new stream webpage here SoB Stream Page.
I think number two many eyes is the easiest to understand
I like the bubble chart as visually this works well (number 2).
Created bar chart to see how easy it was
http://services.alphaworks.ibm.com/manyeyes/view/Sq22ZPsOtha6EqkPbnCgP2~
Bring able to visually compared bar-charts for south east and kent was great as well as the flip option. I see the data could easily be edited and therefore is updateable! I assume that you can give others the ability to update? Or could someone be taught how to use this visualisation programme?
Very easy to use Sally. The visualisation updates automatically when the data is changed. We could form a group around our data. And the sofware is very easy to use. Hope ot have something using the Google gadgets soon. They are also easy to use but require a little more thought and skill in how to present the data.
See you in Sittingbourne tomorrow!