3 followers
2d ago
I've been working on tools to make data analysis workflows easier, and I'm curious about how other data analysts approach their day-to-day work.
What's the part of your workflow that takes up most of your time?
Cleaning messy datasets
Validating data quality
Writing and optimising SQL queries
Feature engineering
Building dashboards and reports
Do you handle these manually, use existing tools, or have your own automated workflows?
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You get a dataset expecting to start analysing it, but first you have to deal with missing values, duplicates, inconsistent formats, incorrect data types and unexpected outliers.
Sometimes cleaning takes longer than the actual analysis.
What do you think? …
Hey everyone! 👋
I'm excited to share Data Analyst Toolkit, a collection of reusable agent skills designed to make everyday data analysis workflows easier.
It covers common tasks like:
Data quality assessment and cleaning
SQL writing and optimisation
BI reporting across Tableau, Power BI, Looker, Qlik, Excel, and Google Sheets.
The idea is simple: spend less time figuring out repetitive workflows and more time focusing on actual analysis.
These skills provide structured guidance and can generate useful report artifacts when supported by the host environment.
I'd love to hear your feedback, especially from people working with data regularly. What would you like to see improved or added?
Thanks for checking it out! 🙌
Hey everyone! 👋
I'm excited to share Data Analyst Toolkit, a collection of reusable agent skills designed to make everyday data analysis workflows easier.
It covers common tasks like:
Data quality assessment and cleaning
Feature engineering
SQL writing and optimisation
BI reporting across Tableau, Power BI, Looker, Qlik, Excel, and Google Sheets.
The idea is simple: spend less time figuring out repetitive workflows and more time focusing on actual analysis.
These skills provide structured guidance and can generate useful report artifacts when supported by the host environment.
I'd love to hear your feedback, especially from people working with data regularly. What would you like to see improved or added?
Thanks for checking it out! 🙌