Name: Dexter McMillan
Type: User
Company: CBC
Bio: Associate Producer with CBC News. Node/Python data harvester. 🌾
Previously: CBC Digital Graphics, CBC Investigative, CBC Local Toronto
Twitter: dexmcmillan
Location: Toronto, Ontario
Blog: www.dextermcmillan.com
Dexter McMillan's Projects
A collection of Canadian census data slices used in CBC visuals and stories.
Turn shapefiles into grids of evenly spaced squares for use in grid cartograms.
A running, WIP collection of basemaps in Canada, largely for use in CBC Datawrapper graphics.
A repository of Datawrapper-ready 2021 census boundary files.
A repository for Jupyter notebook data analysis for CBC News.
A collection of solid datasets to use for graphics or anything else.
A set of scripts that automatically update Datawrapper charts for CBC using Datawrapper's API, mostly implementing the datawrappergraphics module.
A collection of scripts I've used to create daily charts for CBC Digital Graphics.
A script that screengrabs the home page of CBC News every day, and scrapes the headlines as well.
A quick script to count phrases in a speech.
A collection of automatically-updating graphics for the 2022 Ontario Election that draw from CBC's Poll Tracker API.
An analysis of halifax traffic patterns using TomTom data for CBC Nova Scotia.
A script that collects time series data on wildfires in Canada from NRCAN.
Analysis of CMHC proximal index data.
Canadian COVID-19 Data Archive
A light-weight wrapper for the Datawrapper API.
An (unofficial!) package for 📈Datawrapper that allows you to interface between your pandas dataframes and 📈Datawrapper locator maps, charts, and folders in Python.
A little bit about who I am and what I do.
A bunch of useful data pertaining to the 2021 federal election in Canada.
A useful function that finds names in text and attempts to build email addresses from a given naming convention.
A game similar to Hedbanz made for video chat.
A quick analysis of government funding for COVID-19 programs from the federal lobbyist registry.
A very quick scrape of LTCH proposal data from the MOH.
The code that makes up my Master of Journalism capstone project.
The companion Jupyter notebook to a lightning talk given at NICAR22.