1 Citation   Views   Downloads

Opinionated analysis development

View preprint
@benmarwick @tslumley @FrederikAust @rOpenSci I can't stop thinking about how plots aren't agnostic. That plot tools with statistical software packages are inherently, if inadvertently, opinionated. And plots do invite certain interpretations, emphasise some over others and all that, variables, etc. https://t.co/0Xtmkh19Ut
#SDSS2019 @TiffanyTimbers workflow features: version control, exec analysis scripts and pipelines, defined and shippable dependencies -- owing to Hillary Parker's opinionated analysis development https://t.co/51bbXoPz8o
@benmarwick @adamhsparks @alexpghayes @malco_barrett And that leaves the user free to write a short, custom caption in bookdown::, if they wish - and also label/cross-ref the figure. Here I use "opinionated" in this sense: https://t.co/0Xtmkh19Ut
@dylanjm_ds @thomas_mock Last one: here’s another similar article to above with even more focus on great R tools for a strong analysis workflow https://t.co/peT7GD0zcp
@healthstatsdude @ChrisLuv @JohnGandy @kjhealy @hadleywickham The paper "Opinionated Analysis Development" by @hspter is a higher-level abstraction of similar ideas https://t.co/FxXqMJSBGp - reproducible & auditable (the code documents the process explicitly) - accurate - collaborative
What would standards for workflow look like? @hspter has an article (https://t.co/0qHVttUtuy) on Opinionated Analysis Development that I encourage you to check out. It lays out key features she thinks an analysis should have and an "opinion" on how to achieve that. At the very
139 days ago
@Caroline_Bartma @hspter has some excellent advice in https://t.co/UdWM6BY5rw
RT @robinson_es: .@hspter shares the idea of blameless postmortems - if something goes wrong, the system failed you. Don’t blame the person…
.@hspter shares the idea of blameless postmortems - if something goes wrong, the system failed you. Don’t blame the person, figure out how to make the system better. Check out her paper on this & opinionated frameworks for data analysis https://t.co/YldZWRA5Za #Rstudioconf https://t.co/jZT33waSSM
@f_chiare Also this article from Hilary Parker is a nice citation of specific programming tools that explains their relevance to DS: https://t.co/peT7GD0zcp
RT @tdda0: Finally read Hilary ( @hspter) Parker’s paper “Opinionated Analysis Development”. https://t.co/KwFjDU1FMc She’s probably the p…
RT @tdda0: Finally read Hilary ( @hspter) Parker’s paper “Opinionated Analysis Development”. https://t.co/KwFjDU1FMc She’s probably the p…
300 days ago
RT @tdda0: Finally read Hilary ( @hspter) Parker’s paper “Opinionated Analysis Development”. https://t.co/KwFjDU1FMc She’s probably the p…
RT @tdda0: Finally read Hilary ( @hspter) Parker’s paper “Opinionated Analysis Development”. https://t.co/KwFjDU1FMc She’s probably the p…
Finally read Hilary ( @hspter) Parker’s paper “Opinionated Analysis Development”. https://t.co/KwFjDU1FMc She’s probably the person from the R community pushing hardest on the same broad TDDA-like ideas as we are, with lots of devops-inspired perspectives.
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
338 days ago
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
338 days ago
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
338 days ago
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
RT @seanjtaylor: I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want…
I ❤️ how Hilary thinks about design and process for data science. Wish I could have seen the talk! You probably also want to read her recent paper: https://t.co/Emid3VEuDz https://t.co/qEDE2K6OQO
NOT PEER-REVIEWED
"PeerJ Preprints" is a venue for early communication or feedback before peer review. Data may be preliminary.

Additional Information

Competing Interests

I am an employee of Stitch Fix, a private company.

Author Contributions

Hilary Parker conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

The research in this article did not generate any data or code.

Funding

This work was done while an employee at Stitch Fix. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


Add your feedback

Before adding feedback, consider if it can be asked as a question instead, and if so then use the Question tab. Pointing out typos is fine, but authors are encouraged to accept only substantially helpful feedback.

Some Markdown syntax is allowed: _italic_ **bold** ^superscript^ ~subscript~ %%blockquote%% [link text](link URL)
 
By posting this you agree to PeerJ's commenting policies