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Athlete Data from 2024 Boston Marathon

✓ Published0🌍 Public
BBen Trantanella
Last edited Sep 5, 2025
Created on Sep 4, 2025
Forked from Loading Data

This visualization displays athlete data from the 2024 Boston Marathon, showing the raw dataset as a JSON-formatted text dump within a `<pre>` element. It uses D3 v7’s `csvParse` to load and parse the data, converting numeric string fields like `first_half`, `finish`, and `percent_change` into numbers for analysis. The visualization updates reactively via a `setState` function, triggering a re-render of the container with the newly fetched data. It demonstrates a minimal data-loading workflow without any chart or graphical encoding.

AI-generated description

https://www.kaggle.com/datasets/runningwithrock/2024-boston-marathon-weather-and-splits/data

This dataset shows the athlete data of all finishing runners from the 2024 Boston Marathon. Each item is a single runner's data, and the attributes of this dataset are the following:

  1. Bib (ordinal, sequential): The bib number of the specific athlete
  2. Zip (categorical): The zip code that the athlete used as their home address when registering for the race
  3. Age (quantitative, sequential): The age of the athlete when they ran the race
  4. Age Group (categorical): The age range that the athlete falls into
  5. Gender (categorical): The gender stated by the athlete when registering
  6. First Half (quantitative, sequential): The time it took (in seconds) for the athlete to complete the first half of the race
  7. Second Half (quantitative, sequential): The time it took (in seconds) for the athlete to complete the second half of the race
  8. Finish (quantitative, sequential): The total time it took (in seconds) for the athlete to complete the race
  9. Positive Split (quantitative, diverging): The difference in seconds between the first and second half of the race for the athlete, with a positive number representing a slower second half, and a negative representing a faster second half.
  10. Percent Change (quantitative, diverging): How much the first and second half differed by percent, with a positive percent being a slower second half and a negative being a faster.
MIT Licensed

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