Traffic Log Analyzer: Read a Website's Story
Load a table of page views, signups, and response times, then find the story in a website's own traffic: its busiest hour, its slowest page, and where visitors give up.
What you'll be able to build
Load a table of page views, signups, and response times, then find the story in a website's own traffic: its busiest hour, its slowest page, and where visitors give up. Along the way you pick up real, transferable R skills, not just this one project:
- constructing a data.frame of web traffic events
- aggregate() by page or hour
- quantile() for response-time percentiles
- computing a signup conversion rate
- ordering results to find the extremes
- a stakeholder-ready traffic report
A course like this one
Yours is built from your own placement, so module count and depth will differ. This map shows what a intermediate-level R learner building Traffic Log Analyzer actually gets.
- Module 1: Vectors, values, and the shape of R5 lessons
Builds the vector for your Traffic Log Analyzer.
- Module 2: Data frames, factors, and tidy shapes5 lessons
Builds the apply pipeline workflow for your Traffic Log Analyzer.
- Module 3: Control flow and predicting vectorized output5 lessons
Builds the data frame that powers your Traffic Log Analyzer.
- Module 4: Functions, the apply family, and debugging5 lessons
Builds the reusable factor for your Traffic Log Analyzer.
- Module 5: Designing a statistical pipeline5 lessons
Builds the simulation for your Traffic Log Analyzer.
- Module 6: Shipping a reproducible analysis3 lessons
Builds the summary table for your Traffic Log Analyzer.
How the lessons actually work
Every lesson has you predict what a piece of R code will output before you run it, then run it for real in your browser and fix what you got wrong. Each module ends in a challenge gate with hidden tests, so you can't advance until your code actually works. The course closes with a capstone that assembles everything into Traffic Log Analyzer, and a runnable proof page tied to your own code.
Common questions
How long does the Traffic Log Analyzer: Read a Website's Story course take?
about 7 hours, across 6 modules and 28 lessons, at roughly 15 minutes per lesson. Your own course may run shorter or longer, since it's sized to your placement result, not a fixed template.
Do I need experience?
Some. This is an intermediate-tier R project, so it assumes you're comfortable with R basics and pushes past them.
How much does it cost?
$15 one-time, no subscription. The first module is free, so you can see exactly how the course teaches before you pay for the rest.