Compile Excel Data for Analysis
Budget: ₹600 – ₹1,500 INR
I have a collection of Excel workbooks packed with both text and numeric fields. I need every row lifted out, checked for obvious entry errors, and placed into a single, tidy dataset that I can use directly for data-analysis tasks later on.
You’ll start with the existing spreadsheets, standardise column headers, normalise dates, be sure numeric columns remain numeric, and flag anything that looks inconsistent so I can review it quickly. When you’re done I expect one consolidated file—XLSX or CSV is fine—plus a brief change log that notes any assumptions or corrections you had to make.
If you’re comfortable with Excel power-tools or a bit of Python/Power Query to speed things up, feel free; the key outcome is a clean, analysis-ready dataset that mirrors the source content without surprises.
You’ll start with the existing spreadsheets, standardise column headers, normalise dates, be sure numeric columns remain numeric, and flag anything that looks inconsistent so I can review it quickly. When you’re done I expect one consolidated file—XLSX or CSV is fine—plus a brief change log that notes any assumptions or corrections you had to make.
If you’re comfortable with Excel power-tools or a bit of Python/Power Query to speed things up, feel free; the key outcome is a clean, analysis-ready dataset that mirrors the source content without surprises.
Related categories:
Python
Data Processing
Data Entry
Excel
Data Cleansing
Data Analysis
Data Integration
Data Management