Skip to main content
SimilarExport ZIP
100%

Daily Surface Air Temperature

✓ Published0🌍 Public
Mmelissastrong89@gmail.com
Last edited Mar 14, 2025
Created on Mar 14, 2025

This example displays daily global surface air temperature readings from Climate Reanalyzer, processed into CSV format. It shows a raw data preview by formatting the first data point as a JSON object in a large, readable preformatted text block using Svelte. The visualization loads the dataset with an ES module import and parses the CSV values into numbers for day of year, year, and air temperature. The demonstration highlights the structure of the data while the accompanying video explains the broader Svelte and D3 line chart workflow.

AI-generated description

This dataset is from Climate Reanalyzer, processed into CSV format my Matthias Stahl. Found in Svelte + D3: Line.

MIT Licensed

Similar vizzes

Loading thumbnail…

Daily Surface Air Temperature

This example displays the first row of a CSV dataset containing daily global surface air temperatures from 1940 to 2024. The code loads the data, converts the values to numbers, and renders the first data point as a JSON object in a large-font `<pre>` element. The visualization uses Svelte and D3.js, though it currently only shows the underlying data structure rather than a chart. The dataset originates from Climate Reanalyzer.

CCurran Kelleher
91% match
Loading thumbnail…

daily surface air temperature

This example displays the first record of a daily surface air temperature dataset as JSON text. It imports data from a CSV file containing day-of-year, year, and temperature values, converts the fields to numbers, and renders the first data point in a preformatted HTML element with a fixed font size. The code uses vanilla JavaScript with the `data` import from the CSV module to structure the data before display.

DDonald Bagwell
83% match
Loading thumbnail…

Svelte + D3: Line

This visualization displays daily surface temperatures since 1940, with one line per year rendered as an SVG path. The code uses Svelte’s reactivity and D3’s `csv`, `scaleLinear`, `extent`, `line`, `groups`, and `curveCatmullRom` to map day-of-year and temperature values. Recent years (2023–2024) are highlighted with distinct colors and increased opacity, while older years fade into the background. Data comes from Climate Reanalyzer’s world daily temperature record, with a dark gradient backdrop and legend overlay.

MMatthias Stahl
75% match
Loading thumbnail…

Temperature over time

This chart shows daily global surface temperatures from 1940 to 2024, with one line per year plotted against the day of the year. The most recent two years stand out in bright colors—2024 in blue and 2023 in pink—while earlier years appear as faint white lines, revealing long-term warming trends. The visualization uses the Svelte framework and the d3 library’s `line`, `scaleLinear`, and `curveCatmullRom` APIs to render SVG paths. Data comes from Climate Reanalyzer, with opacity scaled by year to emphasize the latest records.

CCamie DeCovich
75% match
Loading thumbnail…

daily surface Temps

This visualization shows daily surface air temperatures across multiple years, with each year rendered as a colored line and the current year (2024) highlighted in red with greater opacity and stroke width. The chart uses a time-scaled x-axis for day of year and a linear y-axis for temperature, with a sequential turbo color scale encoding the year value. Built with D3, the code employs `scaleTime`, `scaleLinear`, `scaleSequential`, `flatGroup`, `line`, and `extent` to generate the multi-line plot from the daily surface air temperature dataset. A responsive axis library handles the axes and resizing behavior.

DDonald Bagwell
74% match
Loading thumbnail…

Fork of Svelte + D3: Line

This example visualizes daily global surface temperatures from 1940 to 2024, with each year drawn as a separate line across the day-of-year axis. The visualization highlights the two most recent years—2023 in pink and 2024 in blue—while older years appear as semi-transparent white lines, making recent warming trends immediately visible. The code uses d3.csv with autoType to load data, then builds scales with scaleLinear and generates smooth paths via d3.line with curveCatmullRom. A custom opacity scale fades historical years, while the current and previous year are drawn with full opacity and thicker strokes. The data originates from ClimateReanalyzer’s daily surface temperature records, and the visualization is rendered as SVG within a Svelte component.

SSafrin La Batu
71% match
Loading thumbnail…

Gist ddc6d50c313ebe6edb45519f43358c6c

The visualization displays monthly and seasonal global temperature anomalies from 1880 onward, using data from the `temperatures.csv` file. It builds a compact heatmap-style or sparkline-based grid, with each row representing a year and each cell showing the temperature deviation. The implementation uses D3.js to parse the CSV data and render the graphic, leveraging SVG or canvas primitives to represent the numeric values across the various time columns. The code processes the tabular data directly, mapping the values to visual elements through D3’s data-binding and layout functions.

Mmbostock
67% match
Loading thumbnail…

Temperature Plot

This visualization displays temperature readings over time, with each data point represented as a semi-transparent circle plotted along a time-scaled x-axis and a linear temperature y-axis. The chart includes labeled axes, gridlines, and a title, showing how temperatures fluctuate across several days. Using D3 v6 within a React framework, the code loads CSV data via the `csv` method, parses the timestamp and numeric temperature values, and renders the SVG using `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft` to construct the visual.

Bbrett@cloudaccelerator.co
67% match