You will get a clean, validated CSV dataset with reproducible Python code and one chart
Project details
You will receive a clean, validated CSV, reproducible Python code, a concise change log, and one clear chart. I work with one small CSV per order, document every transformation, and verify row counts, column types, missing values, and duplicates. The service is designed for non-sensitive business or research data. I do not fabricate results or accept files containing sensitive personal information.
Data Tool
pandasWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 2 days
- Number of Revisions 1
- Number of Pages Mined/Scraped 1
- Number of Sources Mined/Scraped 1
Frequently asked questions
About Anthony
Python Data Cleaning & CSV Automation Specialist
Chengdu, China - 6:15 pm local time
My strongest work is Python-based data cleaning, validation, transformation, and clear visualization. I can standardize inconsistent fields, identify duplicate or invalid records, document every cleaning decision, and deliver scripts that reproduce the final result.
For a typical project, you can expect:
- A cleaned and well-structured dataset
- A separate report of rejected or questionable rows
- Reproducible Python code using pandas
- Clear documentation of assumptions and changes
- Practical charts that answer a specific business question
I do not silently invent missing values or hide data-quality problems. When something cannot be verified, I flag it clearly so you can make an informed decision.
I also work with Python testing, debugging, automation, and reproducible backtesting workflows. I value precise scope, clear communication, and evidence that the delivered result works.
If you have a CSV that needs cleaning, send me a description of the problem, the file size, and the output you need.
Steps for completing your project
After purchasing the project, send requirements so Anthony can start the project.
Delivery time starts when Anthony receives requirements from you.
Anthony works on your project following the steps below.
Revisions may occur after the delivery date.
Inspect and clean the CSV
I profile the dataset, clean agreed issues, and validate row counts, column types, missing values, and duplicates.
Document and deliver the results
I provide the cleaned CSV, reproducible Python code, a concise change log, and one chart based on the cleaned data.