You will get a Clean Excel/CSV. Data Cleaning, Data Entry - Excel/Sheet/Python
Project details
Our data cleaning service stands out by combining advanced techniques with personalized support to ensure the highest quality results. This package includes essential features such as duplicate removal, outlier detection, and data validation, ensuring your data is accurate and reliable.
What truly sets us apart is our commitment to client satisfaction. We provide detailed reports that outline the cleaning process, including insights on data quality and any transformations applied. Our responsive customer support ensures that clients can easily communicate their requirements and receive timely updates throughout the project.
Choose our service for a seamless, efficient, and transparent data cleaning experience that empowers your decision-making with clean, actionable data.
What truly sets us apart is our commitment to client satisfaction. We provide detailed reports that outline the cleaning process, including insights on data quality and any transformations applied. Our responsive customer support ensures that clients can easily communicate their requirements and receive timely updates throughout the project.
Choose our service for a seamless, efficient, and transparent data cleaning experience that empowers your decision-making with clean, actionable data.
Data Tool
PythonWhat's included $15
These options are included with the project scope.
$15
- Delivery Time 1 day
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
Add-on: + 10,000 rows
+$1About Pei Ying
Data Analyst (Excel/ Python)
Johor Bahru, Malaysia - 2:46 pm local time
Skilled in :
- Python
- SQL
- Excel
Steps for completing your project
After purchasing the project, send requirements so Pei Ying can start the project.
Delivery time starts when Pei Ying receives requirements from you.
Pei Ying works on your project following the steps below.
Revisions may occur after the delivery date.
Importing Files
Files will be imported into Python Environment
Begin to Clean Data
This is where the services begin: 1. Check Overview of Data - Data Type, Missing Data, Inconsistencies 2. Clean Data by changing data type, filling missing data, formatting values if necessary