My apologies for the unsolicited ad, but I believe that this announcement could be of interest to some Stata users.

Using Stata, I have developed online resources that describe, what I call, a Graph Workflow approach to developing data graphs. My thoughts are collected here:

https://graphworkflow.com/

The ultimate aim of this website is to guide scientific work in applying a systematic approach towards data graphing for publishing accurate, informative and efficient graphs for reporting, exploratory and inferential purposes.

All graphs in this website are created using Stata code, which I provide for exact reproduction at the end of each major page. But the purpose of the website is not to teach Stata. If you know Stata then you can take the code and apply it to your own work.

The home page of https://graphworkflow.com/ offers a random palette of graphs for browsing content by type. This unstructured learning suits those who are interested in finding out how to make one of these types of graphs. Just click on one, read the approach and download the Stata code at the end of each page to learn how to make it.

For more structured learning, you must master the so-called Graph Workflow model. Click on the link "LEARN THE WORKFLOW MODEL" shown in the top right corner of every webpage to reveal a table of contents. Try to read these pages in the order that they are provided. Start with the Graph Workflow model page. Think of this as a table of contents of an online manual for data graphing.

Please note that there is still a lot of tiding up to do, more code to release, and a handful of pages are flagged as under construction (labelled as TBD - to be developed). I planned to make this announcement in a few weeks when I was ready, but Stata has posted a link on its Facebook page today so this is out in the open.

I hope that you will find these resources useful. I welcome all feedback, and especially constructive feedback that can help me improve these learning resources even more.

Regards,
Demetris Christodoulou