Continuous US Statewise Average Temperature Data

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Continuous US Statewise Average Temperature Data

✓ Published1🌍 Public

Last edited Jan 24, 2023

Created on Jan 24, 2023

This example shows the continuous average temperature for a single US state from 1895 to 2022, displayed as a raw JSON dump of the parsed CSV data. The visualization is minimal, rendering the dataset as formatted text in a `<pre>` element, showing each record’s date, temperature value, anomaly, and state. It uses d3.csvParse to load and parse the remote CSV file, then coerces the numeric columns with unary plus operators. The code relies on d3.select and data joins to update the display, with a state management pattern to handle asynchronous data loading.

AI-generated description

Datasets represents Continuous US Average Temperature from 1895 to December 2022.It consists of columns - Date of type Quantitative, Value of type Quantitative : Temperature in Fahrenheit, Anomaly of type Quantitative Anomalies are the departures from 1901–2000 temperature average and State of type Categorical is the US state where the temperature was observed. This data currently displays data for only one State. Data for multiple State can be accessed from National Centers for Environmental Information - https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/statewide/time-series/1/tavg/all/12/1895-2022?base_prd=true&begbaseyear=1901&endbaseyear=2000

Ideas - visualization similar to this can be created - https://public.tableau.com/app/profile/rush1056/viz/Temperatureanomalydifference-Australia/Dashboard2

MIT Licensed

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