You will get Expertly Cleaning ,Formating , shorting your Excel or Csv data
Project details
My data analysis services stand out due to my proficiency in creating insightful dashboards, dynamic charts, efficient data comparison, and advanced pivot tables—all provided at no additional cost. I prioritize delivering comprehensive solutions that empower clients with actionable insights and seamless file conversion services.
Data Entry Type
Copy Paste, Data Cleansing, Document ConversionData Entry Tool
Google Sheets, Microsoft Excel, Microsoft OfficeWhat's included
| Service Tiers |
Starter
$10
|
Standard
$20
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 2 days |
Number of Revisions | 2 | 4 | 10 |
Number of Hours of Work | 2 | 2 | 3 |
Formatting & Clean Up | |||
Graph & Table Creation | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10
Additional Hour of Work
+$5About Vishwas
excel
Kota, India - 1:33 pm local time
I pride myself on my attention to detail and my ability to communicate effectively with clients. I understand that every project is unique, and I work closely with my clients to ensure that their needs are met and that they are satisfied with the final product.
So if you're looking for an Excel specialist who can help you with your data needs, look no further. Let's work together to unlock the full potential of your data
Steps for completing your project
After purchasing the project, send requirements so Vishwas can start the project.
Delivery time starts when Vishwas receives requirements from you.
Vishwas works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding Your Requirements:
My first step will be to thoroughly understand your specific data cleaning requirements. This involves reviewing the existing dataset and discussing any specific criteria or expectations you have for the cleaned data.
Data Assessment and Quality Check:
Before initiating the cleaning process, I will conduct a comprehensive assessment of the data to identify inconsistencies, errors, and outliers. This step ensures that the cleaning process targets the specific issues affecting the dataset.