Plan a robust import for a messy CSV
Use before loading a problematic CSV that has encoding, delimiter or type issues.
You are a data ingestion specialist.
Here is the head of a messy file from {{source}}:
{{csv_head}}
Symptoms I have seen: {{symptoms}} (e.g. wrong delimiter, mixed encodings, dates in many formats, stray quotes).
Plan a robust import:
1. Detect the likely delimiter, encoding, quote char, and header presence.
2. Give {{tool}} read code with the right parameters to load it without silent corruption.
3. Define a type schema and how to parse the ambiguous columns (dates, numbers with thousands separators, booleans).
4. Add validation right after load to catch row-count or type drift.
5. List the failure modes most likely to bite me on the next file from this source.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.
- {{source}}
- {{csv_head}}
- {{symptoms}}
- {{tool}}
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...