Prepare an import
Standardise dates, numbers, text and column names before importing a catalogue, a business export or a structured list.
Python service for Excel and CSV
Clean and make your Excel or CSV data reliable with Python
This page helps you determine whether the service fits your file, the expected transformations and the result you need before continuing on ComeUp.
View the service on ComeUpWhen this service is a good fit
The service is intended for an existing tabular file whose cleaning rules can be described precisely.
Make an export reliable
Remove exact duplicates, reorganise columns and flag missing or ambiguous values before analysis or sharing.
Apply explicit rules
Transform the file according to rules agreed in advance so that each correction is understandable and reproducible.
What you receive
The exact contents are confirmed on ComeUp according to the file and the agreed rules.
- The cleaned Excel or CSV file in the agreed format
- A summary of the transformations that were actually applied
- A record of missing or ambiguous values that require your decision
What to prepare
A representative example makes it possible to confirm the scope without exposing unnecessary data.
- An anonymised sample of 10 to 20 rows
- The total number of rows and columns and the file format
- The expected result and the cleaning rules to apply
What this service does not cover
The service transforms existing data according to explicit rules. It does not replace an investigation, an application or undefined manual processing.
Not included in the service
- Researching or inventing missing data
- Building a dashboard, scraping the web, or connecting to an API or database
- Repairing complex Excel macros or formulas
- Performing statistical analysis or creating a machine-learning model