Fast Website Traffic Metrics Analysis
Budget: €36 – €0 EUR
I have a raw export of my website traffic logs (CSV from Google Analytics) and I need the story behind the numbers—yesterday rather than tomorrow. Your mission is to transform that data into clear, insightful visuals focused on one key metric: Page Views.
Here’s what I expect:
• Pull the data into your preferred stack—Excel, Python (pandas, matplotlib, seaborn), R, or another analytical tool—and clean anything messy or missing.
• Produce a concise set of graphs and charts that show daily, weekly, and monthly page-view trends, device breakdowns, and a top-10 pages snapshot.
• Flag any anomalies and add one or two sentences beneath each chart so I immediately understand what it’s telling me.
• Supply the finished visuals in PNG or PDF plus the underlying workbook, script, or notebook so I can reproduce the results later.
Time is critical: I’d like a first look within 24 hours and the final package no later than 48 hours after kickoff. If you need clarification on the dataset structure, reach out right away so we don’t burn valuable hours.
Here’s what I expect:
• Pull the data into your preferred stack—Excel, Python (pandas, matplotlib, seaborn), R, or another analytical tool—and clean anything messy or missing.
• Produce a concise set of graphs and charts that show daily, weekly, and monthly page-view trends, device breakdowns, and a top-10 pages snapshot.
• Flag any anomalies and add one or two sentences beneath each chart so I immediately understand what it’s telling me.
• Supply the finished visuals in PNG or PDF plus the underlying workbook, script, or notebook so I can reproduce the results later.
Time is critical: I’d like a first look within 24 hours and the final package no later than 48 hours after kickoff. If you need clarification on the dataset structure, reach out right away so we don’t burn valuable hours.
Related categories:
Python
Excel
Web Scraping
Data Mining
Statistical Analysis
Data Analytics
Data Visualization
Data Analysis