Zip Code Weather Data
This example displays weather data for the two weeks leading up to the 2024 Boston Marathon, showing maximum, minimum, and mean temperatures for each athlete’s registered zip code across fifteen days in April. The visualization initially renders raw CSV data as JSON text, loading and parsing the dataset with `d3.csvParse` within a `fetch` call. The D3 v7 `select` and `join` methods manage the DOM updates asynchronously, with state management handling the transition from loading to populated data.
AI-generated descriptionhttps://www.kaggle.com/datasets/runningwithrock/2024-boston-marathon-weather-and-splits/data
This dataset shows the weather data for the 2-week span before the 2024 Boston Marathon for each zip code registered by any athlete who completed the race. Each item is the temperature data from a specific day and zip code, during the first two weeks of April. The attributes of the dataset are the following:
- Date (Ordinal, Sequential): The date within the first two weeks of April that the weather data was taken from
- Max temp (Quantitative, Diverging): Maximum tempurature during the specific day
- Min temp (Quantitative, Diverging): Minimum tempurature during the specific day
- Mean temp (Quantitative, Diverging): Mean tempurature during the specific day
- Zip (Categorical): The zip code that the weather data is taken from