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Example Everything on this site is sample data — one of the configurations this template ships with, built from the same repository.

Example: Program / cohort portal
Track

Data Science Essentials

Foundations: cleaning, analysing and describing a dataset.

2 team projectsRefine these 2 in team projects →

Team projects tagged Data Science Essentials

  • Bar chart of missed-appointment rate by booking lead time, rising from 9 percent within a week to 24 percent beyond four weeks.
    Essentials

    Booking lead time and missed appointments

    Headline finding: Appointments booked more than three weeks out were missed almost twice as often as those booked within a week

    Tested whether how far ahead an appointment is booked predicts whether it is kept, using two years of de-identified scheduling counts from three community clinics.

    • Logistic regression
    • R
    • 2 more methods & tools
    Skills practiced: Data cleaning Skills practiced: Statistics1 more
  • Line chart of weekly open permit reviews across a year with a shaded forecast band widening over the final eight weeks.
    Essentials

    Forecasting the permit review backlog

    Headline finding: A two-week staffing dip in March explained most of the backlog that was still there in July

    Built a weekly forecast of the permit review queue so the licensing team can see a backlog forming instead of discovering it two months later.

    • Time series
    • Python
    • 2 more methods & tools
    Skills practiced: Statistics Skills practiced: Automation1 more