Martin Monkman
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Martin’s blog

Long-form versions of talks, other miscellany

Population density map

data science
using R
rstats
mapping
population
Inspired by a Linkedin post by Kyle Walker, I decided to take a crack at creating a dasymetric dot-density map. Here’s my hometown of Victoria, BC, using #rstats to show…
2023-12-03
Martin Monkman

Continuous Learning in a Time of Continuous Change

data science
using R
rstats
teaching
learning
career
professional development
A long-form version of my presentation at the Statistical Society of Canada conference on 2022-06-03, one of the invited panelists on “Maintaining Relevancy Through New…
2022-06-03
Martin Monkman

When variables are, indeed, variable

data science
using R
rstats
data mishaps
This blog post is a long-form version of the talk I gave as part of the Data Mishaps virtual event on 2021-02-05. Thanks to the event organizers Caitlin Hudon and Laura…
2021-02-05
Martin Monkman

Importing fixed-width files with {palmerpenguins}

data science
using R
rstats
ornithology
tidyverse
import
Fixed-width text files are not as frequently encountered as they used to be, but they are still out there. This exercise is a walk-though of the process of importing a…
2020-09-15
Martin Monkman

Same name, different bird

data science
using R
rstats
ornithology
Some thoughts on the varieties of “data scientist”.
2019-06-02
Martin Monkman

Overcoming gravity & achieving escape velocity

data science
using R
rstats
This blog post is a long-form version of the talk I gave as part of the EARL Conference in Seattle on 2018-11-07. This edition of the blog post has been edited to capture…
2018-11-07
Martin Monkman

Book review–Storytelling with Data

data science
book review
Originally posted to bayesball.blogspot.com, 2016-03-06
2016-03-06
Martin Monkman

Always a learner be

Or, another thought provoked (History 5702W)
data science
open source
learning
“Continuous learning”: over-worked cliche or necessary for success?
2016-01-28
Martin Monkman

Reflections on History 5702

data science
open source
learning
Some random ideas about data analysis methods.
2016-01-25
Martin Monkman
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