Data Collection
Budget: ₹750 – ₹1,250 INR
I need help gathering quantitative data from a set of pre-selected sources. I already have the entire list prepared, organised in an academic-research style bibliography, so you will not be hunting for new URLs—just pulling the numbers that matter. Most of the sources are online journals, research databases and a few dedicated websites.
Here is what I am after:
• Extract the specified numerical indicators from each source (I will provide a template that shows exactly which metrics to capture).
• Log every value in a clean, well-structured spreadsheet (CSV or XLSX is fine), keeping one row per source and including a reference back to the original page or PDF for verification.
• Note any missing or unavailable figures so I can follow up with the publisher if needed.
Accuracy is essential. I will spot-check random entries against the originals before signing off. If you are used to tools like Python/pandas, R, or even a solid manual workflow with Google Sheets, that works for me—just make sure the final sheet is tidy, consistent, and fully traceable.
Turnaround: please let me know how quickly you can work through roughly 150 sources, and feel free to flag any questions about formatting or edge cases as soon as they arise.
Here is what I am after:
• Extract the specified numerical indicators from each source (I will provide a template that shows exactly which metrics to capture).
• Log every value in a clean, well-structured spreadsheet (CSV or XLSX is fine), keeping one row per source and including a reference back to the original page or PDF for verification.
• Note any missing or unavailable figures so I can follow up with the publisher if needed.
Accuracy is essential. I will spot-check random entries against the originals before signing off. If you are used to tools like Python/pandas, R, or even a solid manual workflow with Google Sheets, that works for me—just make sure the final sheet is tidy, consistent, and fully traceable.
Turnaround: please let me know how quickly you can work through roughly 150 sources, and feel free to flag any questions about formatting or edge cases as soon as they arise.
Related categories:
Python
Data Processing
Data Entry
Research
Excel
Data Mining
Data Extraction
Data Analysis
Data Collection
Data Management