3rd visualisation

Last edited Apr 21, 2024

Created on Apr 18, 2024

This example shows a grouped bar chart comparing coal consumption and greenhouse gas emissions across different years. Using D3.js v7, the code loads data from a CSV file, groups it by year, and renders steelblue bars for coal consumption alongside orange bars for emissions. The SVG chart uses d3.scaleBand for the x-axis and d3.scaleLinear for the y-axis, with d3.axisBottom and d3.axisLeft for tick marks.

AI-generated description

A responsive scatter plot.

MIT Licensed

Similar vizzes

Project

This example displays two grouped bar charts showing population and renewable energy consumption by year, sourced from a CSV dataset hosted on GitHub. It uses D3.js v7 to load and parse the data, group records by year, and render SVG bar charts with linear and band scales. The charts are styled with distinct colors, steelblue for population and orange for renewable energy, and include labeled axes and a legend. The visualization offers a comparative view of demographic and energy trends over time.

81% match

5th visualisation

A responsive line chart visualizes mean greenhouse gas emissions per year, averaged across the dataset and colored by year. It uses d3.csv to load the data, d3.group and d3.mean for aggregation, and d3.line to generate paths. SVG axes, scales, and a legend are built with d3.scaleTime, d3.scaleLinear, and d3.axisBottom/Left. The source is an integrated CSV from a GitHub repository.

77% match

Hharisankarakeluth@my.unt.edu

3rd graph

This example presents a responsive stacked bar chart that visualizes population data for various countries across multiple years, from 1980 through projected figures for 2050. The chart uses a color-coded ordinal scale to distinguish each year's segment within the stacked bars. Built with D3 v6, the visualization loads its dataset from a remote CSV file and renders the graphic as an SVG. The code utilizes `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.stack` to compute the stacked series, with axis labels and interactive hover effects that highlight individual bars.

77% match

7th visualisation

This histogram visualizes the distribution of carbon intensity from electricity generation, using data loaded from an external CSV file via `d3.csv()`. The chart consists of 20 bins, computed with `d3.histogram()`, displayed as steel-blue bars, and axes are created using `d3.axisBottom` and `d3.axisLeft` with tick marks extending across the plot. The SVG graphic is rendered responsively with D3 v7, including labeled axes and a title.

77% match

Jjyothirmaijyothi2017@gmail.com

project d3

This visualization presents global CO2 emissions and population data through a series of linked charts. It shows a line chart of emission trends over the last twenty years, a scatter plot by country, a histogram of emission values, and bar charts highlighting the top and least populated countries. The code uses d3.csv to load the dataset, then employs d3.group, d3.sum, and d3.scaleBand, alongside d3.line, d3.axisBottom, and d3.axisLeft to render SVG charts.

Line Chart Using D3.js ice-7

This example shows a line chart of CO₂ emissions over time, with data spanning from 1960 to 2020. The visualization displays a rising trend in emissions, plotted as a single steel-blue line against axes for year and CO₂ levels. The code loads CSV data using `d3.csv`, then constructs an SVG with `d3.scaleLinear` for both axes and draws the line path via `d3.line`. Axes are rendered with `d3.axisBottom` and `d3.axisLeft`, while text elements add axis labels and a title.

Bbadrinath888@gmail.com

Green house gas bar chart

A horizontal bar chart displays 2019 greenhouse gas emissions (in MtCO₂e) for eleven top-GDP countries, with population values from `data.csv`. Steel-blue bars encode emissions magnitude on a linear scale, while country names align on a band scale. The SVG rendering uses D3 v7’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the plot and axes. Interactive hover effects reveal a custom tooltip with the emission value, and the bar fill darkens via `attr("fill")` on mouse events.

DDIANJING FAN

D3 - Multi-Line Chart

This multi-line chart displays carbon dioxide emissions per country from 1970 to 1979, using four distinct colored lines with circular data points. The visualization loads CSV data from a GitHub gist and renders an SVG with a light gray background panel, axis labels, and a title. It uses d3.csv for data loading, d3.line to construct the paths, and d3.axisBottom and d3.axisLeft for the axes. Interactive tooltips appear on mouseover, showing the emission value for the hovered point, with circles enlarging to indicate selection. The chart also incorporates colorbrewer colors and the d3-legend library.

CChandana Srinivas