Skip to main content

2020 Table Contest Deadline Extended

[This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The original deadline for the 2020 Table Contest was scheduled for October 31, 2020.

We know you’ve been busy and that’s okay. Because we’ve had a number of requests for extensions — including some interest in summarizing election data — the deadline has been extended by two weeks to November 14, 2020.

If you have already submitted an entry, you are free to update it up to the closing date. Find all table contest submissions on RStudio Community.

To leave a comment for the author, please follow the link and comment on their blog: RStudio Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The post 2020 Table Contest Deadline Extended first appeared on R-bloggers.



from R-bloggers https://ift.tt/37XoW5O
via IFTTT

Comments

Popular posts from this blog

Explaining models with Triplot, part 1

[This article was first published on R in ResponsibleML on Medium , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Explaining models with triplot, part 1 tl;dr Explaining black box models built on correlated features may prove difficult and provide misleading results. R package triplot , part of the DrWhy.AI project, is aiming at facilitating the process of explaining the importance of the whole group of variables, thus solving the problem of correlated features. Calculating the importance of explanatory variables is one of the main tasks of explainable artificial intelligence (XAI). There are a lot of tools at our disposal that helps us with that, like Feature Importance or Shapley values, to name a few. All these methods calculate individual feature importance for each variable separately. The problem arises when features used ...

The con behind every wedding

With her marriage on the rocks, one writer struggles to reconcile her cynicism about happily-ever-after as her own children rush to tie the knot A lavish wedding, a couple in love; romance was in the air, as it should be when two people are getting married. But on the top table, the mothers of the happy pair were bonding over their imminent plans for … divorce. That story was told to me by the mother of the bride. The wedding in question was two summers ago: she is now divorced, and the bridegroom’s parents are separated. “We couldn’t but be aware of the crushing irony of the situation,” said my friend. “There we were, celebrating our children’s marriage, while plotting our own escapes from relationships that had long ago gone sour, and had probably been held together by our children. Now they were off to start their lives together, we could be off, too – on our own, or in search of new partners.” Continue reading... The Guardian http://ift.tt/2xZTguV October 07, 2017 at 09:00AM