Skip to main content
SimilarExport ZIP
100%

ICE 74 MD

✓ Published0🌍 Public
Ddandamidhun41613@gmail.com
Last edited Oct 26, 2025
Created on Oct 26, 2025
Forked from D3 Starter

This animated area chart displays renewable energy generation trends for the USA from 2010 to 2024, comparing solar, wind, and hydro sources. The visualization uses D3 v7’s `d3.area()` and `d3.line()` generators with `curveMonotoneX` to render semi-transparent filled regions with stroked boundaries, while `d3.axisBottom` and `d3.axisLeft` provide labeled scales. Hover interactions reveal tooltips on data points, and the chart reads from a CSV file containing annual GWh values for multiple countries, though only USA records are visualized.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ICE 73 MD

Animated three-line chart showing renewable energy generation trends for the USA from 2010 to 2024, comparing solar, wind, and hydro sources. Built with D3 v7, it renders SVG paths for each energy source with colored lines and data point markers. The visualization uses linear scales for time-series axes, axis generators, and a tooltip for hover interaction. Data comes from country_energy_stats.csv, loaded via d3.csv, with lines drawn using the d3.line path generator.

Ddandamidhun41613@gmail.com
93% match
Loading thumbnail…

ICE63MD

This visualization presents two views of renewable energy data spanning 2010–2024. The first chart shows trends for Solar, Wind, and Hydro generation, with lines and points for each energy source. The second chart combines bars showing total generation per year with a line overlay tracking the solar trend specifically. The implementation uses the D3 library, with `d3.select` to build SVG elements, `d3.scaleLinear` and `d3.scaleBand` for axis scaling, and `d3.axisBottom` and `d3.axisLeft` to render axes. Data is loaded from a CSV file using `d3.csv`.

Ddandamidhun41613@gmail.com
86% match
Loading thumbnail…

ICE 72 MD

This D3.js visualization presents a pie chart comparing 2024 total renewable energy generation (solar, wind, and hydro combined) across multiple countries, sorted in descending order. The SVG-based chart uses `d3.pie()` and `d3.arc()` to draw slices, with each country assigned a distinct color from D3’s Tableau and Set3 palettes. The visualization loads data from a local CSV file, and hovering over a slice reveals a tooltip showing the country name and its percentage share of the total.

Ddandamidhun41613@gmail.com
83% match
Loading thumbnail…

ICE-7 Q4 11699544

This area chart visualizes daily solar energy generation over 150 days, with values rising from approximately 52 to 232 megawatts. The visualization uses D3 v7 to load data from a CSV file and render an SVG. The chart employs `d3.area` with `curveMonotoneX`, `d3.scaleLinear` for both axes, and `d3.axisBottom` and `d3.axisLeft` with grid lines. The deep maroon filled area sits above a baseline set at 95% of the minimum value, with the y-axis labeled as megawatts and the x-axis representing days.

Aakshayamsgrad@gmail.com
79% match
Loading thumbnail…

ICE-7 Q3 11699544

This line chart compares daily renewable energy generation, focusing on solar energy output in megawatts across a 150-day period. The visualization uses a smooth, monotone curve to display the upward trend in solar power production over time. Rendered as an SVG using D3.v7, the chart employs `d3.scaleLinear` for both axes, `d3.axisBottom` and `d3.axisLeft` for tick marks, and `d3.curveMonotoneX` to create the smoothed line. The data is retrieved from a CSV file containing solar, wind, and hydro energy measurements.

Aakshayamsgrad@gmail.com
79% match
Loading thumbnail…

area chart ICE-7

This area chart visualizes 24 months of synthetic household electricity usage in kWh. The filled area emphasizes the magnitude of values relative to a zero baseline, with an overlaid line and interactive dots. Built as a reusable D3 component using d3.area and d3.line, it renders in SVG with animated updates. The chart includes axes, gridlines, axis labels, and a hover tooltip, all managed through D3 v7 selection joins and the public update method.

Vvydeeshm@gmail.com
75% match
Loading thumbnail…

ICE-7

This example presents a reusable D3 v7 area chart showing 24 months of synthetic household electricity usage in kWh, with the filled area emphasizing magnitude relative to a zero baseline. It renders an SVG with a gradient-styled area, an overlaid line, dots, axes, gridlines, and a hover tooltip that displays exact values. The chart uses d3.area, d3.line, d3.scaleTime, d3.scaleLinear, and d3.axisBottom/axisLeft, and supports updates via a public update method that redraws the visualization with new data.

Vvydeeshm@gmail.com
75% match
Loading thumbnail…

ICE7 Area Chart

This area chart displays the population of the United States from 2011 to 2021, with a smooth curved line and a filled sky-blue region beneath it. The visualization uses D3 v5’s `csv` to load data, `scaleTime` and `scaleLinear` for axes, and the `area` and `line` generators with a `curveBasis` interpolation. Axis tick labels are formatted with `format('.3s')`, and the chart includes labeled axes and a title, rendered as SVG.

KKolliTeja
75% match