temp_stats.cpp in C++

Min, max, and mean over a dozen embedded readings, courtesy of std::ranges.

#include <algorithm>
#include <format>
#include <iostream>
#include <numeric>
#include <vector>

// temp_stats: min, max, and mean over a week of readings

int main() {
    const std::vector<double> temps = {
        61.2, 64.8, 70.1, 73.4, 71.9, 66.5, 62.3,
        59.8, 63.1, 68.7, 72.2, 69.4,
    };

    auto [low, high] = std::ranges::minmax_element(temps);
    double mean = std::accumulate(temps.begin(), temps.end(), 0.0)
                  / temps.size();
    auto above = std::ranges::count_if(
        temps, [mean](double t) { return t > mean; });

    std::cout << std::format("readings: {}\n", temps.size());
    std::cout << std::format("min:  {:5.1f} F\n", *low);
    std::cout << std::format("max:  {:5.1f} F\n", *high);
    std::cout << std::format("mean: {:5.1f} F\n", mean);
    std::cout << std::format("above the mean: {} of {}\n",
                             above, temps.size());
}

How it works

1. std::ranges::minmax_element finds both extremes in one pass; bindings name the iterators.
2. std::accumulate seeded with 0.0 sums the readings for a floating-point mean.
3. count_if with a [mean] capture reports how many readings sit above average.

Keywords and builtins used here

• auto
• const
• double
• int
• main
• return

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Step 3 of 3 in Encore, step 27 of 27 in Language basics.

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