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Pamela Duncan

Pamela Duncan is an award winning journalist, working for the Guardian’s Data Projects team. During the Coronavirus pandemic she’s been specialising in providing in-depth analysis of Covid-19 data in the UK including excess deaths happening in people’s homes/care homes and calling out gaps in the data and delayed or misleading data.

She also writes on a range of topics including health stories, among them an award-winning piece on an NHS data loss, consumer stories on the proportion of betting adverts carried during the World Cup and revelations of Russian trolls’ tweets cited by UK media outlets. She also contributes to the Guardian’s gender pay gap reporting. More recently she has turned her hand to coding, using Python to help create stories around the people affected by Trump’s Zero Tolerance Policy.

Pamela is a very popular data journalism trainer the #CIJSummer Conference. She also taught data journalism skills at some of the world’s leading journalism training events for many years.

Summer Conference Event
 — Talk

Covid-19: A Data Story. UK and Sweden.

Leading data journalists Helena Bengtsson of STV (Sweden), John Burn-Murdoch of the Financial Times (UK), and Pamela Duncan of the Guardian (UK), explain how data analysis plays a crucial part in the coverage of the Covid-19 pandemic.
Summer Conference Event
 — Course

Web Scraping Without Code

How to use the import functions for scraping data into Google Sheets, building a basic scraper with websraper.io and OCR 3 ways.
Summer Conference Event
 — Course

Data Journalism – Google Sheets

Googlesheets 1 Data journalism introduction: an overview of the seven building blocks behind data stories. The basics: using Googlesheets to carry out basic calculations and percentage increases. Googlesheets 2 Finding your top line: sorting and filtering in Googlesheets/Excel.