Photo by Florian Klauer

How can you contribute?

If you want to contribute and write for, please submit your article through this contribution form.

Submission rules and guidelines

Before submitting your article, please bear in mind the following points:

  • At the moment I only accept articles that have already been published somewhere else on internet.
  • To avoid one of us being penalized by Google for duplicate content, please mention the link to your article in the contribution form so I can add the “rel=canonical” element linking to the initial post.
  • I personally read and check the content and formatting of your article to guarantee its correctness and so that it fits into this blog. I may edit the article with minor corrections, without changing the content. I might also remove images where the source is not clearly cited to avoid copyright violations.
  • It is your responsibility to ensure you have the permission to use all content, images, and videos you include in your articles.
  • You can edit and remove your article from the blog at any time, without any justification needed.
  • This blog is written in R and deployed thanks to the {blogdown} package. Therefore, it is much easier for me to publish articles written in R Markdown (.Rmd) or Markdown (.md). However, if your article is in another format, feel free to submit it as well.
  • If you are having an issue with the online form, you can send a link to your article via the contact page. (But please do not send your article via the contact page if you already submitted it via the contribution form.)
  • All articles that are accepted on the blog will be published on Medium via the Towards Data Science publication. Moreover, it will also be published on R Weekly and, if it is related to R, on R-Bloggers as well.
  • A link to the original post will be added at the end of the article.

Thanks in advance for your interest! Do not hesitate to contact me if you have any question.