This example demonstrates the application of a 300-point moving average to smooth 1Hz temperature data (AirTC_1) from a CSV file, displaying the result as a JSON object. The code first parses string values into numbers, then processes the array through a custom `movingAverages` function, which slices the data into windows and calculates the mean. It also computes variance and standard deviation for sample arrays using the functions `variance` and `StandardDeviation` from `mathStatsmodules`. The final output is rendered inside an HTML `<pre>` element, showcasing the first averaged data record.