Hey thanks @emilyhopkins.bsky.social !

thanks!

And it's interesting because given that 60 day notice period, we wouldn't expect then any of the layoffs to really come through in the data yet... maybe probationary employees don't have that period?

Thanks for this! We do note but at the very bottom: "Employees on paid leave or receiving ongoing severance pay are counted as employed in the establishment survey."

Yes, we expect it to increase as well. For the 60 day notice period - are you referring to payroll? (+are they getting paid?)

And a deeper dive on the data from @alyclary.bsky.social: www.mprnews.org/story/2023/1...

Here's the story @alyclary.bsky.social worked on with @mprnews.org @kirstimarohn.bsky.social @apmreports.org: www.mprnews.org/story/2023/1...

5. When frustrated, remind yourself there is value in making data accessible to the public.

4. If you're cobbling data together, figure out a template early. If one dataset is particularly helpful, use that to shape the database's structure.

3. Try to look at your data with fresh eyes when your at the analysis and writing stage.

2. If you can use a coding language to clean and create the database, do it. Scripts will allow you to adjust and iterate.

I remember some changes throughout the conference in the past but can’t remember how many times it tends to happen. But I do usually double check the schedule in the app before I head to a room/session just in case. Maybe someone at @ire-nicar.bsky.social could give more of a sense of frequency.

Amazing thanks!

This is sweet!! 😍 One question - does it pull the latest version of the schedule with any regularity? Sometimes there are some changes so just wondering if it will capture those.

➕ This year I'm also a visiting journalist-in-residence at IU Media School, teaching #datajournalism.