weather_data

100%

✓ Published0🌍 Public

Last edited Oct 24, 2019

Created on Oct 24, 2019

This example visualizes weather data from a JSON file for a week of October 2018, showing daily summaries, icons, and key metrics such as temperature, humidity, wind speed, and precipitation. Rendered using D3.js, it employs linear scales for temperature and time, and axis generators like `d3.axisLeft` and `d3.axisBottom` to plot a line chart of temperature highs and lows. Data points include timestamps in Unix format, with temperature values in Fahrenheit. The chart also displays daily weather icons and summaries, extracting data from the `wh_weather_data.json` source. The visualization highlights trends in temperature fluctuations and weather conditions across each date.

AI-generated description

Similar vizzes

Loading thumbnail…

A Week of Temperatures Around the World

This visualization displays temperature readings for a week, using a line chart to show how temperatures change over time for a set of cities. The chart uses time on the x-axis and temperature on the y-axis, with each city assigned a distinct color from a sequential color scale. The visualization is built with D3 version 5, specifically using `scaleTime`, `scaleLinear`, `axisLeft`, `axisBottom`, and `line` with a curve basis to smooth the data. A legend showing the color-to-city mapping is rendered via a custom `colorLegend` component, and the project is structured as a React application that loads data from a CSV file.

MMichael Milano

70% match

Loading thumbnail…

Visualization

This visualization displays a 3-day weather forecast using an animated bar chart built with D3.js. It encodes temperature values as bar heights, with a color scale ranging from white to blue to red to indicate temperature intensity. The data is loaded from a local JSON file. Bars animate upward with a bounce effect upon rendering. Interactive tooltips appear on mouseover to show the precise temperature, and hovering highlights a bar in yellow. The chart includes a time-based x-axis and linear y-axis.

Aajoua

70% match

Loading thumbnail…

Generalized histogram

The visualization displays a grid of generalized histograms for eight weather metrics, including windSpeed, humidity, and temperatureMax, sourced from a JSON dataset. Each chart renders bars using SVG rectangles, with a dashed line and label marking the mean. Built with React and D3 v5, the code employs `d3.json`, `d3.histogram`, and `d3.scaleLinear` to compute bins and scales, while `d3.axisBottom` handles the x-axis labels.

Jjbruzzo

70% match

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes weather data from a CSV file, allowing viewers to cycle through humidity, precipitation, and pressure on the x-axis while temperature remains on the y-axis. Using D3.js version 6, the chart employs `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` to render axes, with a `setInterval` driving automatic transitions between attributes every two seconds. Circles are drawn via `selection.selectAll` and `join` with a fixed radius, while margins and dimensions adapt to the window size. The Iris dataset is not shown here; instead, weather observations are sourced from a gist-hosted CSV, and styling uses the Share Tech font.

Hharichandanamone21@gmail.com

69% match

Loading thumbnail…

Line plot - weather

A line plot visualizes temperature changes throughout a week in San Francisco. The visualization renders an SVG line path and circles for each data point, using a red, semi-transparent overlay. The chart includes labeled axes for time and temperature, along with a title. The code relies on D3 v5 APIs including `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, `line`, and `curveBundle`, and loads its data from a CSV file via `csv()`.

DDaniel Piqué

69% match

Loading thumbnail…

Fork of Chart redesign

This visualization displays daily humidity data from a weather dataset as a time-series line chart, with semi-transparent colored regions highlighting Winter and Summer seasons and gray lines marking seasonal means. The chart sorts data chronologically, downsamples points for the line, and renders individual data points as small circles. Built with D3 v5 in a React framework, it uses `d3.json` to load data, `d3.scaleTime` and `d3.scaleLinear` for axes, a custom `downsampleData` function, and SVG rendering with gradient definitions and area generators.

NNikithakatta30

69% match

Loading thumbnail…

Working with Time

This example shows a scatter plot of one week of temperature data from a CSV file hosted in a GitHub gist, with time on the x-axis and temperature in degrees on the y-axis. The visualization uses React components to render SVG circles, with d3.scaleTime and d3.scaleLinear for scales, d3.timeFormat for weekday tick labels, and d3.extent for domain calculation. Axes are custom-built using React, and each data point includes a title for hover-based tooltips. Data loading is handled asynchronously via d3.csv within a custom useEffect hook.

RRudy Shayganfar

69% match

Loading thumbnail…

Line plot - weather

This line plot visualizes temperature readings from a week in San Francisco, using a filled area chart to show the range of temperature over time. The data, loaded from a CSV file via `d3.csv`, is mapped to time and linear scales (`d3.scaleTime`, `d3.scaleLinear`), with axes generated by `d3.axisBottom` and `d3.axisLeft`. The area is rendered as an SVG path using `d3.area`, styled with a maroon fill, and includes labeled axes and a title.

DDaniel Piqué

69% match