Water Temperature Station Analysis
Budget: ₹600 – ₹1,500 INR
I run a monitoring station that streams environmental data, and I now need a focused analysis on its water-quality feed—specifically the temperature series. You’ll receive the raw exports (CSV + time stamps) straight from the logger.
Your task is to clean the data, explore trends, flag anomalies, and present meaningful visual and statistical insights. A short written summary explaining seasonal shifts or unusual spikes will round out the work.
Preferred workflow: Python (Pandas, Matplotlib or Seaborn) or R (tidyverse), though I’m open if you have another toolchain that achieves the same clarity. Please make your code reproducible and comment it so I can rerun the process when new files arrive.
Deliverables
• Well-documented script or notebook performing the full analysis
• High-resolution charts and tables suitable for a brief report
• A concise report (PDF or Markdown) interpreting the findings in plain language
If this initial temperature study goes smoothly, future phases may look at pH or contaminant levels, so keep the structure modular for easy expansion.
Your task is to clean the data, explore trends, flag anomalies, and present meaningful visual and statistical insights. A short written summary explaining seasonal shifts or unusual spikes will round out the work.
Preferred workflow: Python (Pandas, Matplotlib or Seaborn) or R (tidyverse), though I’m open if you have another toolchain that achieves the same clarity. Please make your code reproducible and comment it so I can rerun the process when new files arrive.
Deliverables
• Well-documented script or notebook performing the full analysis
• High-resolution charts and tables suitable for a brief report
• A concise report (PDF or Markdown) interpreting the findings in plain language
If this initial temperature study goes smoothly, future phases may look at pH or contaminant levels, so keep the structure modular for easy expansion.