Data Cleaning/Validation with Python
Starting at
$
350
About this service
Summary
FAQs
What types of data can you clean and validate?
I work with CSVs, Excel files, SQL exports, and scraped datasets — handling duplicates, missing values, inconsistent formats, and schema validation.
How will I receive the results?
You’ll get a cleaned dataset in CSV or Excel format, plus a validation report and the reusable Python script.
Do you require meetings or calls?
No meetings are needed. I deliver everything asynchronously with clear documentation, so you can focus on results.
Can you check for anomalies or errors in the data?
Yes. I highlight anomalies, inconsistencies, and validation checks in the report, ensuring transparency and reliability.
Is the cleaning process reusable for future datasets?
Absolutely. The Python script is yours to keep, and the documentation makes it easy to adapt for new projects.
What's included
Cleaned Dataset (CSV/Excel)
A structured dataset with duplicates removed, missing values handled, and formats standardized. Delivered in CSV or Excel, ready for immediate use.
Validation Report
A concise summary highlighting data quality checks performed (e.g., consistency, schema validation, anomaly detection). This ensures transparency and trust in the dataset.
Reusable Python Script
A Python script (using Pandas and SQL integration if needed) that automates the cleaning and validation process, allowing you to reuse it for future datasets.
Documentation & Usage Guide
A clear README explaining the cleaning steps, validation logic, and instructions for running or adapting the script. This makes the workflow easy to maintain and extend.
Example projects
Duration
1 week
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