for your team
Data & Analysts
Explore datasets, write and explain queries, and turn a CSV into a chart or a dashboard — without memorizing syntax.
playbooks
Full worked systems, not one-off prompts — each walks the whole workflow end to end. Pick one and follow it.
Interview a dataset before you touch it
Open a file you've never seen and get the full picture — row count, what every column means, the date range, blanks, and duplicates — before you ask a single analysis question.
open the playbook →Write the query and learn the SQL
Get the exact query for the question you actually have, a line-by-line plain-English walkthrough of every clause, and a reconciliation against a known total — the answer and the understanding to defend it.
open the playbook →Find out why the number moved
Answer "why did it drop?" for real — compare the suspect period to a baseline, break it down by the right dimension, and rule out a broken query or dirty data before you blame the business.
open the playbook →Turn two messy files into one trustworthy dataset
Standardize the keys, join on the right id, flag every row that doesn't match, and reconcile the result against the inputs — so the combined file is something you can actually build a report on.
open the playbook →From a raw CSV to a chart you can paste into a slide
Pick the right view, generate the chart as an image file with clear titles and labels, and sanity-check the numbers behind it — so what lands in the deck is right, not just pretty.
open the playbook →Build a recurring analysis report, end to end
Profile the data, write and explain the queries, reconcile every result, chart the key views, and wrap it in a plain-English narrative with caveats — a report you re-run the same way every month so comparisons compound.
open the playbook →