The results in Table 1 don’t seem to correspond to those in Figure 2...
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Welcome to the March PyData Edinburgh!
We're really looking forward to welcoming Mine Çetinkaya-Rundel from the University of Edinburgh to speak about workflows for reproducibility that touch on everything from data storage, cleaning, analysis, to communication of final results.
As always, we'll have a few lightning talks - though this month we have something a little different (you'll have to come along to find out what!) - plus pizza and refreshments and plenty of chat!
MAIN TALK:
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Bio: Mine is a Senior Lecturer in the School of Mathematics at University of Edinburgh and Data Scientist and Professional Educator at RStudio. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She is one of the organisers of R-Ladies Edinburgh
Description:
For data analysis to be reproducible, the data and code should be assembled in a way such that results (e.g. tables and figures) can be re-created. While the scientific community is by and large in agreement that reproducibility is a minimal standard by which data analyses should be evaluated, and a myriad of software tools for reproducible computing exist, it is still not trivial to reproduce someone’s (sometimes your own!) results without fiddling with unavailable analysis data, external dependencies, missing packages, out of date software, etc.
In this talk, we present good, better, and best workflows for reproducibility that touch on everything from data storage, cleaning, analysis, to communication of final results.
LIGHTNING TALKS
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We have an exciting set of Lightning Talks signed up, which this month
will include a few *slightly* longer ones for reasons that will be
revealed on the night!
LOGISTICS
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Please remember to RSVP to come to this event :)
1815: Doors open, drinks & networking
1845: Talks start - welcome & community announcements followed by our main speaker, then lightning talks.
We'll end the evening with pizza and more refreshments, wrapping up by 2100.
SPONSORS
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As always, we couldn't do this without our sponsors help to provide a venue and drink & pizzas and for this event — Cathcart Associates, Wood Mackenzie, Solarwinds, Lloyds Banking and Canon Medical
CODE OF CONDUCT
====================
The PyData Code of Conduct (https://pydata.org/code-of-conduct/) governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS using the link found at https://numfocus.org/code-of-conduct.
Thank you for helping us to maintain a welcoming and friendly PyData community!
