A 10 year journey into dataviz

June 24, 2017

@maartenzam

Torino

A selection of my projects and the tools behind them

2007

2011

Summer 2014

Winter 2014

setwd("~/Sites/ukkel")
read.csv("ukkel_tt.csv", sep=";")
ukkel <- read.csv("ukkel_tt.csv", sep=";")
head(ukkel)
colnames(ukkel) <- c("Jaar","1","2","3","4","5","6","7","8","9","10","11","12")
head(ukkel)
melt <- melt(ukkel, id=c("Jaar"))
library("reshape2", lib.loc="/Library/Frameworks/R.framework/Versions/3.1/Resources/library")
melt <- melt(ukkel, id=c("Jaar"))
head(melt)
colnames(melt) <- c("Jaar", "Maand", "T")
head(melt)
write.csv(melt, "temperature2.csv")

Toolbuilding:

Mapmaker

Mapbox

Typeahead.js

(now probably Angular or React)

library(rvest)

vlaverturl <- "https://www.vlaamsparlement.be/vlaamse-volksvertegenwoordigers"
vlaverthtml <- read_html(vlaverturl)

##Get the names, parties and the urls of the profile pages
vlavert <- vlaverthtml %>% html_nodes(".field--name-volledige-naam") %>% html_text()

vlapart <- vlaverthtml %>% html_nodes(".field--name-huidigefractie") %>% html_text()

vlaverturls <- vlaverthtml %>% html_nodes("span a") %>% html_attr("href")
package(ggplot2)

scatter <- ggplot(finaldata, aes(x = tussenkomsten, y = vrageninitiatieven, col = partij)) + 
  geom_point(alpha = 0.7, size = 3) + 
  geom_text(aes(label = achternaam), nudge_y = 10) + 
  scale_colour_manual(values = c("#83de62","#ffac12", "#003d6d", "#f5822a", "#e23a3f", "#5a5101", "#000000", "#cccccc")) + 
  labs(x = "Aantal tussenkomsten", y = "Aantal vragen en initiatieven") + 
  theme_minimal() +
  theme(legend.position="none") + 
  geom_hline(aes(yintercept=median.vrageninitiatieven)) + 
  geom_vline(aes(xintercept=median.tussenkomsten))

2015

2017

Freelancing

The future: WebGL

Deck.gl

Stardust.js

regl

My lessons

  1. 'Journalist isn't a profession' - Alberto Cairo
  2. The rise of the journalist engineer - Matt Daniels from Polygraph
  3. Journalistic skills help everywhere
  4. Web skills always help
  5. Put your things out there
  6. Tweet
  7. Get inspired and run with ideas
  8. Don't learn all the tools, but know what they can do
  9. Learn the rules of good dataviz, so you can break them
  10. Just *do* dataviz

Thanks!

www.maartenlambrechts.com

@maartenzam

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