Python-SPSS Cluster Analysis Validation
Budget / Salary€30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a rigorous data validation step followed by a full cluster analysis carried out in Python and then faithfully replicated in SPSS so I can present the results in either environment without discrepancies.
After the statistical work, I also have a 15-page background document that must be distilled into a clear 6- to 8-page English summary that captures its key arguments and findings.
Deliverables
• Data validation report confirming integrity of the supplied CSV files
• Equivalent SPSS syntax/output reproducing the same clusters and statistics
• Comparison note showing any differences between the two packages (if any) and how they were resolved
• 6–8 page English summary of the provided 13-page text, written in a concise academic style
Acceptance criteria
– Validation checks transparently documented and reproducible
– Cluster solutions in Python and SPSS match within rounding tolerance
– Summary stays within page limit while preserving all major points and numerical results
I simply need your expertise to verify, analyse, replicate and summarise accurately.
After the statistical work, I also have a 15-page background document that must be distilled into a clear 6- to 8-page English summary that captures its key arguments and findings.
Deliverables
• Data validation report confirming integrity of the supplied CSV files
• Equivalent SPSS syntax/output reproducing the same clusters and statistics
• Comparison note showing any differences between the two packages (if any) and how they were resolved
• 6–8 page English summary of the provided 13-page text, written in a concise academic style
Acceptance criteria
– Validation checks transparently documented and reproducible
– Cluster solutions in Python and SPSS match within rounding tolerance
– Summary stays within page limit while preserving all major points and numerical results
I simply need your expertise to verify, analyse, replicate and summarise accurately.
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