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Data Visualisation - a selection of my favourites September 2016

Category : Data Visualisation

Over the past couple of weeks at Capgemini we have been being reminded about our commitment to diversity and ‘Active Inclusion’, i.e. being a truly diverse and inclusive organisation, where everybody feels valued, included and empowered; whether it’s in our recruitment or within our day to day roles, working with colleagues from all across the world and from a multitude of backgrounds. As a woman, I have never felt that I am in any way disadvantaged at work by my gender and yet I know that, as we look at the world as a whole, this makes me very privileged. I thought that in this article I would share some data visualisations I’ve loved which consider some differences which are statistically gender related.

In the cinemas

Polygraph took a look at 8000 screenplays, matching character’s lines to actors and showing how each film was split up in terms of lines given to actors of each gender.

It’s immediately clear that, whatever genre of film is selected, the majority of lines are given to male characters. The researchers freely admit that this doesn’t provide a perfect view of the gender balance in every film (in some, such as Mulan, the female lead is purposefully more silent) but believe that it gives a general overview.

From another viewpoint, Max Woolf, a software QA engineer in San Francisco, took a look at the way in which box office takings related to whether the lead character is male of female. His research shows a statistical difference between takings of films where the lead character is male compared to when it is female.

There are a selection of different charts that show this on his blog, as well as nifty use of Python for data simulation and R for the plotting of various datasets. To see the strength of the statistical difference you’ll need to click through and look at Max Woolf’s work.

In sports

Serena Williams, now one of the greatest tennis players of all time, lost her number 1 spot a few weeks before being able to say that she had held it longer than any other tennis player. However, her achievements are none the less incredible over the 20 years since she entered the WTA rankings in 2007.

The LA Times has created a wonderful set of charts celebrating her career and showing how her tennis style varies from that of her peers.

I particularly like this one, which shows how her service strength is more than twice as good as that of the average world ranking male.

The dark side of the internet

The Guardian did some analysis of the comments it gets on articles published which shows a very strong relationship between the gender of the article author and the number of abusive comments received. In fact, of the ten regular writers who get the most abusive comments, eight are female (two are black men) and of the ten regular writers who get the fewest abusive comments, all are male.

Following this insight, they did some further analysis to show the scale of the issues, looking at the different topics, the number of posts written by authors of each sex etc.

The way in which the charts they have used to illustrate their findings are woven into the web page is clever and well worth a view.

Some postcards

A month or so ago I was alerted to the postcards which are being created by Mona Chalabi, who works for the Guardian in the US.

These are a fabulous set of hand drawn postcards reflecting insight into a huge variety of things. I wanted to share the link with you all, so to keep to my theme, here are some examples of her postcards which examine gender differences:

About the author

Cathy Buchanan
Cathy Buchanan
Working in Operational Research for over ten years, as a consultant my goal is to help clients understand the value that data brings to their organisations. Before consultancy, I spent 5 years working in call centre design and am now very interested in promoting “the contact centre of the future”, utilising & combining multiple customer channels efficiently. My areas of specialisation are Optimisation, Simulation and Data Visualisation.

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