Introduction

Matteo Ceccarello
matteo.ceccarello@unipd.it

Yes, I see

state energy state energy state energy state energy
AT 9.374 EL 7.087 IT 10.182 PT 7.254
BA 2.240 ES 8.191 LT 4.680 RO 4.430
BE 6.388 2020 7.672 LU 10.506 RS 2.420
BG 2.226 EU28 8.012 LV 4.379 SE 7.821
CY 6.968 FI 5.453 ME 3.396 SI 5.494
CZ 3.879 FR 8.059 MK 2.853 SK 4.686
DE 8.616 HR 5.355 MT 3.826 TR 6.291
DK 14.007 HU 4.461 NL 7.400 UK 10.620
EA19 8.230 IE 13.620 NO 11.534 XK 2.140
EE 2.806 IS 1.866 PL 4.232 NA
Note:
Energy productivity (gross domestic product (GDP) by the gross inland consumption of energy) in 2014
http://data.europa.eu/euodp/en/data/dataset/xWiT1fbpF5q1ZCvLQc2upg

Visualization is better at summarizing data

Consider the following summaries of a 2 dimensional dataset

  • Mean 9, 7.5009091
  • Standard deviation 3.3166248, 2.0315681
  • Correlation coefficient 0.8164205

Visualization is better at summarizing data

https://www.nytimes.com/interactive/2019/08/29/opinion/hurricane-dorian-forecast-map.html

In this course we will study techniques
to explore and visualize data
in order to communicate with people.

A data exploration workflow

Source: https://r4ds.had.co.nz/explore-intro.html

About me

Reference material