2 de setembro de 2017

Pad de notas

Notas da apresentação Dra. Bahareh Heravi

• data journalism projects; worked as data scientist in newspaper
• practice in a more formal context (in comparison to DWD)
• visiting the country; wanted to know the community and the people working in the field of data journalism, visualization
• coming from a programming background and entering into something 'less technical'

Round of presentations

• Ana, design background, working as ux designer and front-end developer at J++ Porto, opendata and libre software
• Ricardo, J++ Porto founder, opendata \& free software <3
• João, a hacker in the making
• Rui, background in planning, learned code by himself, consultant for municipalities on
• David, background in biotechnology
• Francisco, computer science degree
• Andreia, graphic design background, currently working on citizen activism
• João, teacher on interface design, coder and interface designer, working on visualization
• Marta, education for children, fell in love with technology; researcher on connections and mix of education and technology
• João, software development \& hacking
• Francisca, learning code in the last year,

Overview of the data journalism field

• what is data journalism? telling Journalistic stories with data. data as a source, algorithms as a tool. Using databases for storytelling; computer assisted journalism was something that was here from the 60s(?)
  • the kind of journalism you can only do using a computer
  • extracting narratives from data
• How old is data journalism? ~10 years
  • google ngram (tool that analyses words in books, in English): no results for 'data journalism' from 1800-2008
  • google trends for 'data journalism'
    • comparing trends for 'computer assisted journalism'
• Philip Meyer coined the term precision journalism; if journalists started using social science techniques their reporting would become more precise
• Investigative journalism, another related term
• hierarchy of 'parts': data → information → knowledge → wisdom
• Data visualization history goes back in time
  • Charles Minard's map of Napoleon's disastrous Russian campaign of 1812
  • John Snow's Cholera Map
  • Florence Nightingale (the nerd nurse <3)
• What is the data journalism process?
  • asking a question/hypothesis –looking into data
  • crowdsourcing the story/investigation
  • Wikitribune, Jimmy Wales (Wikipedia's founder)
  • search for data - analyse the data
  • and do *something* with that
• Simon Rogers (created Guardian Data Blog) proposed a data journalism workflow
• Mirko Lorenz: data → filter → visualize → story
• Bahareh Heravi:
  • Start from an idea
  • Find/collect the data
  • Clean/fix the data
  • Analyse/summarise the data
  • Visualise the data (+ write the story)
• Doesn't have to come from an actual idea: some orgs have a “data calendar”, e.g. “housing prices index will come out in September”, which gives you the lead for a story or breaking news
• Examples (best sources: Guardian, Financial Times, ProPublica)
• Guardian: LGBT rights around the world
• Irish Times: Football tweet visualization for Euro2016 (using Carto)
• Irih Times: Is your name going out of fashion? One of the most popular/clicked stories out of the data department
• Guardian: Where can you afford to buy a house?
  • we should try to do this one for Portugal!
• Tools! What's out there? Some tools for journalists (most of them don't require you to learn code)
  • carto; infogram; tableau; plotly; google trends/spreadsheet/chart; timelinejs; highcharts; raw… d3, mapbox, R…
  • Must read: https://www.theguardian.com/politics/2017/jan/19/crisis-of-statistics-big-data-democracy
• Dataviz Catalogue – shows not only good viz patterns, but also the tools that can make each of those
• GEN (Global Editors Network) Data Journalism Awards
  • BH working on a study about the winner projects
• Data Driven Journalism
• Data Journalism Confernce

Dear Data

• Two designers, Giorgia Lupi and Stefanie Posavec, decided to exchange postcards with hand drawn data visualizations depicting parts of their daily life; get to know each other through data
• https://medium.com/ucd-ischool/information-design-at-ucd-17e12e6846e2 – students were encouraged to find alternative ways to visualize data (avoid bar charts, and more traditional ways)
• Methodology
  • Design | Legend + information
  • information: title, author, method
• Quantified self: collect data about yourself. How to do it?
  • pick something to track: checking your phone; taking selfies; …
  • add context: where am i? what was i doing? why did i do it? how was with me? …
  • record immediately
  • be honest; fake data is not interesting
• Full method
• All visualizations available online at: http://www.dear-data.com/by-week

Discussion and questions:

• data awereness - Visualizing Palestine
• Randall Munroe's visualization about global warming XKCD – and other wonderful drawn visualizations
• http://www.informationisbeautiful.net/ - beautiful but hard to understand debate; debate on visualization aesthetics vs understandability; more artsy side of data representation

• Awesome Quantified Self - lista de aplicações para recolher dados da nossa vida diária. ATENÇÃO - Ler os termos e condições
• Dataset de frutas e vegetais da época
• Visualização de transportes públicos em Lisboa (João Antunes)
• Visualização dos apartamentos no Airbnb, no centro de Amesterdão