Charles Francis Richter Quotes

When I look at a pie chart, I just go numb.

The Government are very keen on amassing statistics - they collect them, add them, raise them to the nth power, take the cube root and prepare wonderful diagrams.

Numbers can't speak for themselves, and data sets - no matter their scale - are still objects of human design.

Information is expanding daily. How to get it out visually is important.

The statistics might have a Eurosceptic cast, but they are not exactly a fun read. Few of us want to wade through ONS graphs or European Commission tables.

We all know that Americans love their statistics - in sport, obviously. And in finance too.

Numerical quantities focus on expected values, graphical summaries on unexpected values.

There is a reasonable concern that posting raw data can be misleading for those who are not trained in its use and who do not have the broader perspective within which to place a particular piece of data that is raw.

Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.

Some of the pictures in 'The Human Face of Big Data' will bring tears to your eyes; others are so surprising or memorable that you just have to show them to your friends and family.

Beautiful Evidence is about the theory and practice of analytical design.

Evolving technologies that allow economists to gather new types of data and to manipulate millions of data points are just one factor among several that are likely to transform the field in coming years.

All of the studies we do in my group are quantified.

So this is the only TV show in America where I am quite confident that you, the audience, will share my excitement when I tell you that coming up in our next segment, we have the best graph ever. Best graph ever.

If you aren't taking a representative sample, you won't get a representative snapshot.

There's something that happens with the collection of a large amount of data when it's dumped into an Excel spreadsheet or put into a pie chart. You run the risk of completely missing what it's about.

When human judgment and big data intersect there are some funny things that happen.

I was lucky because logarithmic plots are a device of the devil.

Rob Engle and I are concerned with extracting useful implications from economic data, and so the properties of the data are of particular importance.

We have entered an era where the kinds of data and analyses that people run have gotten incredibly complicated. So you have researchers using sophisticated software programs that they probably don't understand but are generally accepted and everyone [in the field] uses.

We must never let a blizzard of statistics blind us to the real lives and people behind them.

It is easy to lie with statistics. It is hard to tell the truth without it.

I think of myself as a translator. I just change the dry, unfeeling language of data into a visual language that allows for feeling.

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

By definition, big data cannot yield complicated descriptions of causality. Especially in healthcare. Almost all of our diseases occur in the intersections of systems in the body.