Coding classes in Saskatchewan

This short script produces the table from the downloaded file, using only Python 3 and its built-in statistics module:import json import statistics with open("parks.json", encoding="utf-8") as f: parks = [feature["attributes"] for feature in json.load(f)["features"]] by_type = {} for park in parks: km2 = park["Shape__Area"] / 1_000_000 by_type.setdefault(park["PARKTYPE"], []).append(km2) for kind, areas in sorted(by_type.items(), key=lambda p: len(p[1]), reverse=True): print(kind, len(areas), "mean", round(statistics.mean(areas), 2), "median", round(statistics.median(areas), 2)) every = [a for areas in by_type.values() for a in areas] print("all", len(every), "mean", round(statistics.mean(every), 2), "median", round(statistics.median(every), 2))

For a stronger student the next step is a chart: a histogram of park areas on a normal scale is one tall bar and a long empty tail, while the same data on a logarithmic scale spreads out neatly, which ties straight back to the logarithms of Pre-Calculus 30. Contains information licensed under the Government of Saskatchewan Standard Unrestricted Use Data Licence (Version 2.0). Data: Saskatchewan Parks Boundaries, Saskatchewan Ministry of Parks, Culture and Sport, on the Saskatchewan GeoHub (licence). The calculations and script are ours; the Government of Saskatchewan does not endorse this page.

Saskatchewan families pay the same monthly fee as families elsewhere in Canada. We bill only after the free lesson, once the course and the time are fixed; the pricing page covers holidays and missed classes.