Olivia A-CMar 9
In this entry of Lessons in Grafana, we're examining how to collect and represent mental health data ​​

This was the inspiration of my entire data tracking stack. Today we'll be examining how that is organized in a more thorough way, as well as the various challenges involved in collecting mental health info in the first place. It is highly subjective and involves a lot of tailored decision-making. Specifically we are looking at data tracking around: depression, anxiety, PTSD / panic disorders, and DID / plurality. There is also a brief aside about poop. Enjoy!

https://blog.oliviaappleton.com/posts/0009-lessons-in-grafana-03

#Depression #DID #Plural #PTSD #DataScience #DataEngineering #DataAnalysis #Grafana #SelfHosted #Python #SQL #PostgresQL #LearnDataScience #DataScienceProjects #Programming #Coding #Database #DatabaseAdministrators #Writing #Blog
As with all my posts, public timeline replies to this will appear as comments on the site.
Lessons in Grafana - Part Three: Mental Metadata

Olivia A-CMar 2
In this entry of Lessons in Grafana, we have a bonus entry looking at methods of averaging ​​

When I was initially collecting this data, I was very unhappy with the easiest methods of averaging. I had a difficult set of constraints: data that has an inconsistent rate, but where the most recent values are most important. Here we look at how to solve that.

https://blog.oliviaappleton.com/posts/0008-lessons-in-grafana-02-5

#DataScience #DataEngineering #LearnDataScience #DataAnalysis #DataScienceProjects #SelfHosted #Programming #Coding #SQL #PostgresQL #Database #DatabaseAdministrators #Writing #Blog
As with all my posts, public timeline replies to this will appear as comments on the site.
Lessons in Grafana - Bonus Entry: Achieving Acceptable Averages

Olivia A-CFeb 23
In this entry of Lessons in Grafana, we look at scraping data from an automated litterbox. ​​

Scraping this litterbox was surprisingly easy! And so was the data collection! Interpreting it, however, had some pitfalls. Explore some undocumented APIs with me as we spy on our cats' bathroom habits. Yes, there are cat pictures.

As with all my posts, public timeline replies to this will appear as comments on the site.

https://blog.oliviaappleton.com/posts/0007-lessons-in-grafana-02
#DataScience #DataEngineering #LearnDataScience #DataAnalysis #DataScienceProjects #Grafana #SelfHosted #Programming #Coding #Python #SQL #PostgresQL #Database #DatabaseAdministrators #Writing #Blog #Cats #CatsOfFedi #CatsOfMastodon
Lessons in Grafana - Part Two: Litter Logs

Olivia A-CFeb 23
Today I'm starting a new series on data collection & visualization. In this entry we look at job hunting data. ​​

I've been anticipating this for a long time. Over the course of this series we're going to examine everything from job applications, to litterboxes, to mental health & biometrics. This has been a wild ride, and I'm glad to bring y'all along for it.

As with all my posts, public timeline replies to this will appear as comments on the site.

https://blog.oliviaappleton.com/posts/0006-lessons-in-grafana-01
#LearnDataScience #DataAnalysis #DataScienceProjects #Grafana #SelfHosted #Writing #Blog #Jobs
Lessons in Grafana - Part One: A Vision

CoListyJan 16, 2025

Master Data Science with SAS and Python for Customer Churn | CoListy
Learn to manage data science projects with SAS and Python. Predict customer churn and deploy models in production with SAS Viya Workbench. | CoListy
#freeonlinelearning #colisty #courselist #datascienceprojects #sasviya #python #customerchurn #machinelearning #dataengineering #githubintegration #cloudanalytics #predictivemodeling

https://colisty.netlify.app/courses/modern-data-science-with-sas_-viya_-workbench-and-python/

Master Data Science with SAS and Python for Customer Churn

Learn to manage data science projects with SAS and Python. Predict customer churn and deploy models in production with SAS Viya Workbench. | CoListy

Dr J Rogel-SalazarFeb 20, 2024
Hey, another reader has sent a question about organising #datascienceprojects with #python and using #virtualEnvironments. Check out the answer here: https://medium.com/@quantum_tunnel/readers-questions-virtual-environments-p-3-86cb2b8da644
Readers’ Questions — Virtual Environments p.3 - Dr J Rogel-Salazar - Medium

As a budding data scientist, you’re diving into the exciting world of Python projects and virtual environments. One reader has raised some crucial questions about organising their projects, handling…

Medium