Dr. Csala Dénes

Charlie Meyrick

Ashley Lait

The language of data is visualisation 🌟 experiences

   from the 

Glasgow 

26th May 2022

Assistant professor

University of Bristol
Lancaster University

Data editor

Economics Observatory

Questions

Lead Editors

Experts

Core editors

Author draft

Text, Charts

Article

Science communication
Writing classes

Dataviz classes

Joint workshops

ONS

HM Treasury

Cabinet Office

DE, DHSC, ...

Beyond the Observatory
ECO at COP26

Talking Economics

ECO magazine

Data Hub

1 ZB

ZETA-EXA-PETA

TERRA-GIGA-MEGA

Northeastern, 2016

attention

at tension

attention

at tension

Glasgow
is a nice city.

quarter of a second

Sabine Kastner et al., Princeton, 2018

250 millisec

attention poverty

"What information consumes is rather obvious: it consumes the attention of its recipients. Hence, a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it."

Herbert Simon (as quoted by Hal Varian)
Scientific American, 1995

based on the UW CSE442 course and PARC UIR
Portrait of Herbert Simon - Richard Rappaport CC BY 3.0


Mitchell Kapor-t freely quoted

information overload

visualisation = understanding

"The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it - that's going to be a hugely important skill in the next decades, ...because now we really do have essentially free and ubiquitous data."

Hal Varian, Chief Economist, Google
The McKinsey Quarterly, 2009

based on UW CSE442
Hal Varian - Joi Ito CC BY 2.0

5:35

data

information

knowledge

big data =

big responsibility

Datasaurus, Alberto Cairo, Autodesk, 2016

Bernardo:

Well, good night.
If you do meet Horatio and Marcellus,
The rivals of my watch, bid them make haste.

picture superiority effect

Allan Paivio, 1971
based on David McCandless, Information is Beautiful, 2012

sight

touch

hear      smell

taste

encode

decode

data visualisation = signal system

message

based on Jacques Bertin, Sémiologie Graphique, 1967

which rectangle is lighter?

212, 212, 212

+2 %

207, 207, 207

which circle is larger

how many

times?

7

how many times?

sensation=\newline intensity^x

sensation-intensity curve

Stanley Smith Stevens, 1957

electric shock

weight

taste

length

area

smell

volume

intensity ➡

sensation ➡

accuracy of visual attributes

most accurate

most distorting

based on Jock MacKinlay, 1986

position

length

slope

angle

area

volume

saturation

half(mis)information

half(mis)information

half(mis)information

half(mis)information

half(mis)information

half(mis)information

half(mis)information

data workshop

code-along

vega.github.io/vega-lite/

Fókusz

Áttetszőség

(Animáció)

Theory

  • ECO's data philosophy
  • What is Vega-lite, GitHub, and the idea of embedding charts within HTML more broadly? Why is it better than using images?

 

Practical

  • Using static data from a sample CSV (code along)
  • Changing the chart spec in the Vega-lite editor
  • Using dynamic data from a sample API (CSV then JSON)

data

information

knowledge

Altamira cave painting, i.e. 36 000
Ted Chiang, Eric Heisserer, Martine Bertrand, Stephen & Christopher Wolfram "Louise", in the alien language designed for movie Arrival, 2016 CC A-NC 4.0

The language of data is visualisation 🌟 experiences

   from the 

Glasgow 

26th May 2022

Assistant professor

University of Bristol
Lancaster University

Data editor

Economics Observatory

Dr. Csala Dénes

Charlie Meyrick

Ashley Lait

The language if data is visualisation 🌟 experiences from the Economics Observatory

By Dénes Csala

The language if data is visualisation 🌟 experiences from the Economics Observatory

At the Economics Observatory, we curate answers from globally leading economic experts that bridge the gap between academic research, government policy and the general public. We made it our mission to make these answers as accessible and engaging as possible – turning to conferences, a printed magazine and data storytelling tools, next to our main digital publication. In this talk, Dénes will guide you through the Economics Observatory editorial process – from data to article – trying to convince you on the way that the language of data is visualisation.

  • 101