This code processes a dataset (`data`) by parsing and converting...

June 28, 2025 at 01:49 AM

const parseTime = d3.utcParse("%Y-%m-%dT%H:%M:%S"); // Adjust if needed data.forEach(d => { d.time = parseTime(d.time); // parse date d.magnitude = +d.magnitude; });

This code processes a dataset (data) by parsing and converting specific fields (time and magnitude) in each object of the data array. Here's what it does step by step:

  1. parseTime function:
    The line:

    const parseTime = d3.utcParse("%Y-%m-%dT%H:%M:%S");
    

    uses D3.js's utcParse function to create a date/time parser. This parser can parse strings formatted as "%Y-%m-%dT%H:%M:%S" (e.g., "2023-10-05T14:30:00") into JavaScript Date objects in UTC time.

  2. Processing each data object (forEach):
    The data.forEach() loop iterates over each object in the data array.

  3. Parsing the time property:
    Within the loop:

    d.time = parseTime(d.time);
    

    This converts the time string in the current object d into a JavaScript Date object using the parseTime function. This allows the time value to be manipulated as a real date instead of a string.

  4. Converting magnitude to a number:
    The line:

    d.magnitude = +d.magnitude;
    

    converts the magnitude property of the current object d to a number (using the unary + operator). This ensures that numeric operations can be performed on the magnitude property if needed.

Summary:

This code:

  • Converts the time property of each object in data from a string (in ISO 8601 date-time format) into a JavaScript Date object.
  • Converts the magnitude property of each object in data from a string to a number. This preprocessing step prepares the data for further analysis or visualization tasks, such as working with time-series data or performing numerical computations.
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