Living with Data

Why we lose out if we leave everything to algorithms

If we trust a measurement system wholly to data and algorithms, will it inevitably be gamed by the humans it measures?

Your analytics team needs a liberal arts major

Whether you are a company director, an educator or a parent, you need to think about how to create a diverse workforce in the short and long term

Artificial intelligence isn’t taking your job

With data, artificial intelligence, machine learning, and automation may improve your job

Iteration is the best way to find the insight in your data

Iteration is key to success. There is simply no way you can open a dataset and know, ahead of that exploration, how best to display it

Why design theory should apply to business intelligence

How to apply design theory to dashboards to get the most from your data.

Will Alexa become my companion data analyst?

How a smart assistant can eventually become your organization's next data rock star

What can data visualization learn from punks?

How a punk ethic to data journalism can lead to faster insight.

Find hidden insights in your data: Ask why and why again

Embrace your inner child when analyzing data - ask the data "why," rather than "what."

Lies, damn lies, and statistics: How to take something positive from the UK’s EU referendum campaign

This is how a simple manipulation of a data visualization's title, color and orientation can change the context of the entire story.

When charts attack! Why statistics still matter in politics

This article evaluates the usage, both responsibly and irresponsibly, of statistics in politics

The inevitability of data visualization criticism

This article from Tableau Software's Andy Cotgreave examines the core purpose of a data visualization: Is the goal to communicate an idea to an audience, or to foster engagement with the visualization itself?

To move forward with data visualization, look backwards

Look at the future of visual data analysis by taking a look backward at the history of the art -- featuring visualization examples from pioneers Joseph Priestley, William Playfair and Florence Nightingale.

What to expect from data storytelling in 2016

Five years ago, data journalism focused on rich interactives designed primarily for a monitor or laptop screen. Those interactives were complete applications, destinations to be browsed to. The world has changed. We scroll through...

Why do we visualize data?

Why do we visualize data? Do data visualizations aim to inform audiences effectively? Or do they simply aim to catch people’s eye, providing the just gist of the data? This is a question which has been hotly debated by some of the...

Data without emotion doesn't bring about change

If we want to drive change using data, we need to bring in emotions, narratives and the personal.

Fit the chart to the story, not the data

Finding the best chart to show your data is more about the stories contained within the data than it is about the data types. Knowing the guidelines for a data type is one thing, but the best articulation of the data depends on what...

Why I ditched my Fitbit and what this means for analytics

Dashboards that don’t evolve don’t get used. Here are best practices for delivering successful self-service analytics to your employees.

Big data: The 100-year-old buzzword

Visual analytics and data science are hot. As we create more data than ever before, we seek newer, better, faster ways to make sense of it and to know what actions we should take to improve our world. We’re told that this is the age...