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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
Your Organization Data Learning Cohorts Portal
Cohort

2026

3 team projectsRefine these 3 in team projects →

Team projects tagged 2026

  • Dashboard mock with a ranked bar chart of interpreter requests by language and a small grid of requests by hour of day.
    Featured Storytelling

    Cohort: 2026Area of work: Communications

    Which languages our front counters actually need

    Headline finding: Requests named 14 languages; the four we staffed for covered 62% of them

    Turned two years of interpreter request logs into a dashboard that shows which languages are asked for, at which counters, and at which hours.

    • Tableau
    • SQL
    • 2 more methods & tools
    Skills practiced: Visualization Skills practiced: Stakeholder interviews1 more
  • Two survival curves over twelve months showing repeat-violation-free share staying near 88 percent with an early re-inspection and falling to 67 percent without one.
    Featured Civic

    Cohort: 2026Area of work: Environmental Health

    How soon does a critical violation come back?

    Headline finding: A re-inspection within 30 days cut the one-year repeat rate from roughly one in three to one in eight

    Measured how long facilities go after a critical inspection violation before the next one, and whether an early re-inspection changes that.

    • Survival analysis
    • Python
    • 2 more methods & tools
    Skills practiced: Statistics Skills practiced: Data cleaning1 more
  • Bar chart of missed-appointment rate by booking lead time, rising from 9 percent within a week to 24 percent beyond four weeks.
    Essentials

    Cohort: 2026Area of work: Community Programs

    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