Fork of Fork of Fork of Empty D3 Starter-likitha

100%

Fork of Fork of Fork of Empty D3 Starter-likitha

✓ Published0🌍 Public

Last edited Mar 8, 2026

Created on Mar 8, 2026

Forked from Fork of Fork of Empty D3 Starter-likitha

This D3.js visualization displays weather trends over time, combining multiple series on a single chart. It renders red, blue, and green lines for temperature, humidity, and wind speed, alongside steel-blue bars representing rainfall, all plotted against a shared day axis with labeled axes and a legend. The code uses `d3.csv` to load data from a GitHub gist, then applies `d3.scaleLinear` and `d3.line` to create the lines, with gridlines and axes generated via `d3.axisBottom` and `d3.axisLeft`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of HTML Starter

This example visualizes climate trends from 2010 to 2022 with a synthetic dataset of 156 monthly records. It combines sky-blue bars for rainfall on a left axis with tomato-colored temperature and green CO₂ lines on a right axis. The chart uses D3.js version 7, employing `d3.scaleTime` for the time axis, `d3.scaleLinear` for the dual quantitative scales, and `d3.line` for the path generation. `d3.select` appends SVG elements, while `d3.axisBottom`, `d3.axisLeft`, and `d3.axisRight` render the axes.

Vveginetiumeshchandra@lbrce.ac.in

85% match

Loading thumbnail…

Fork of D3 Starter

This D3.js visualization displays three climate change metrics—CO₂ levels, temperature anomaly, and global mean sea level—as multi-line trends over time, using red, blue, and green strokes to distinguish each series. It employs dual y-axes, with temperature and sea level sharing a left scale while CO₂ uses a right scale, rendered via `d3.line` path generators. The SVG output loads data from a remote CSV using `d3.csv`, converts numeric fields with unary plus operators, and applies `d3.scaleLinear` domains and `d3.axisBottom`/`d3.axisLeft`/`d3.axisRight` for tick marks. Axes are formatted with integer tick labels, and lines are drawn with a 2-pixel stroke width.

Ssrisailapu.rc@gmail.com

85% match

Loading thumbnail…

Fork of HTML Starter

This fork of the HTML Starter visualizes 156 months of synthetic climate data from 2010 to 2022, combining three variables in a single SVG chart. It shows rainfall as skyblue bars against the left axis, while temperature and CO₂ appear as tomato and green lines against the right axis. The code uses d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, d3.axisRight, and d3.line to render the axes and paths. Data are generated in-browser with Math.sin, Math.cos, and Math.random.

Ssaiabhishekmunnangi@gmail.com

84% 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

82% match

Loading thumbnail…

Fork of Fork of Chart redesign

This chart visualizes daily humidity data as a smooth, curved line over time, with seasonal background bands and mean lines for each season. It uses D3.js v5 within a React framework, employing `d3.scaleTime`, `d3.scaleLinear`, and `d3.area` with a basis curve for rendering. The data is loaded from a GitHub-hosted JSON file, downsampled before plotting. The SVG output includes a linear gradient defs, season-specific rectangles, and small circular dots for each data point, with a custom CSS-styled y-axis.

NNikithakatta30

81% match

Loading thumbnail…

Fork of Fork of Fork of Chart redesign

This example visualizes a time series of daily humidity data as a line chart with overlaid seasonal summaries. The chart uses a colored timeline gradient and highlights distinct season spans (Spring, Summer, Fall, Winter) as shaded rectangles, alongside dotted data points and dashed season mean lines. The visualization is built with React and D3 v5, using `d3.json` to load the dataset, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.area` with `d3.curveBasis` to generate the smoothed line path. The chart is rendered as an SVG, with downsampling applied to the data for smoother curve rendering.

Ssrividyap03

81% match

Loading thumbnail…

Fork of Fork of Fork of D3 Starter

This visualization analyzes daily sales, revenue, and profit trends using two D3.js v7 SVG charts. A multi-series line chart displays all three metrics over time, while a combined chart overlays sales as bars with a profit line, both featuring custom tooltips and a styled interface using the Poppins font. The code loads CSV data via `d3.csv`, constructs scales with `d3.scaleTime` and `d3.scaleLinear`, and renders paths and bars with `d3.line` and `d3.axisBottom`, applying color-coded series and gridlines for readability.

Ssainishanthreddyk@gmail.com

81% 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

80% match