Global Female Freelancer Data Analysis
Budget: $250 – $750 USD
I need to compile a clear, reliable picture of how female freelancers are distributed, what skills they market, typical earnings ranges, and any notable growth patterns across major regions. The job starts with data extraction: pull publicly available information from leading freelancer platforms, professional networking sites, and other open repositories. After cleaning and de-duplicating the records, the next step is to analyse the dataset—producing descriptive statistics, trend plots, and concise written commentary that highlights regional hot-spots, in-demand skill sets, and any gaps or opportunity areas.
Please deliver:
• A CSV or Excel file containing the raw and cleaned datasets, accompanied by a short data-dictionary.
• An analytic report (PDF or slide deck) that explains the methodology and presents charts, pivot tables, and key findings.
• A brief summary section (one page) outlining actionable insights I can share with stakeholders immediately.
I will consider the job complete when the data can be reproduced from the stated sources, the code or process you used is included (Python notebooks, R scripts, or equivalent), and the insights directly reference the extracted figures.
Please deliver:
• A CSV or Excel file containing the raw and cleaned datasets, accompanied by a short data-dictionary.
• An analytic report (PDF or slide deck) that explains the methodology and presents charts, pivot tables, and key findings.
• A brief summary section (one page) outlining actionable insights I can share with stakeholders immediately.
I will consider the job complete when the data can be reproduced from the stated sources, the code or process you used is included (Python notebooks, R scripts, or equivalent), and the insights directly reference the extracted figures.