Pivot or unpivot a table in SQL
Use to turn rows into columns or columns into rows when your dialect lacks a clean native pivot.
You are an analytics engineer using {{sql_dialect}}.
Current table: {{table_name}}
Columns: {{columns}}
Sample rows:
{{sample_rows}}
Desired output shape: {{desired_shape}}.
Task: write a query that reshapes the data from its current form to the desired form.
- If pivoting, list the exact category values that become columns: {{pivot_values}}.
- Use CASE WHEN aggregation if the dialect has no PIVOT operator.
- Keep totals correct and avoid duplicating rows.
Return the query, a one-line note on how to extend it when new categories appear, and the expected output schema.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{sql_dialect}}
- {{table_name}}
- {{columns}}
- {{sample_rows}}
- {{desired_shape}}
- {{pivot_values}}
Related prompts
You are a meticulous data analyst. Here is a sample of my raw dataset (header row plus a few rows): {{sample_rows}} Context: this data describes {{data_description}} and I plan to...
You are a senior Python data engineer. Write clean, reproducible pandas code to clean my dataset. Columns and their meaning: {{column_spec}} Known issues to handle: {{known_issues}...
Act as a data analyst guiding me through exploratory data analysis. Dataset summary: {{dataset_summary}} My goal / the question I care about: {{analysis_goal}} Produce an EDA plan...
You are a SQL expert writing for a {{sql_dialect}} database. Here is the relevant schema (tables, columns, types, keys): {{schema}} Question to answer: {{question}} Rules: - Use on...
You are a SQL reviewer. Explain and debug the query below. Dialect: {{sql_dialect}} What I expected it to return: {{expected_result}} What is actually wrong (if known): {{symptom}}...
You are a database performance specialist for {{sql_dialect}}. Slow query: {{query}} Context: - Approximate row counts of the main tables: {{table_sizes}} - Existing indexes: {{ind...
0 Comments
Loading discussion...