Skip to main content
SimilarExport ZIP
100%

Task9_Question2

✓ Published0🌍 Public
KKeerthi
Last edited Apr 22, 2024
Created on Apr 22, 2024
Forked from Hello VizHub

This area chart visualizes carbon emissions over time, comparing liquid fuel and gas fuel consumption across multiple years. The data is loaded from a remote CSV file using d3.csv, with parsed numeric values for both fuel types. The visualization uses d3.area generators to create two semi-transparent filled regions, with steelblue representing liquid fuel and orange representing gas fuel. The chart includes linear scales for both axes, axis labels, and a legend, all rendered as SVG elements within an 800x400 pixel canvas.

AI-generated description

A demonstration of Area chart.

MIT Licensed

Similar vizzes

Loading thumbnail…

Task9_Question2

This area chart visualizes carbon emissions from liquid, solid, and gas fuels over time, with each fuel type drawn as a separate line. The visualization uses d3.csv to load the dataset, d3.scaleBand for the year axis, d3.scaleLinear for the fuel consumption axis, and d3.area to generate the paths. Each fuel series is plotted using the area generator’s y() method, with x-axis positioned by the band width and y-axis scaled to the maximum value across all fuel types. The SVG rendering includes labeled axes and a styled chart container.

KKeerthi
95% match
Loading thumbnail…

Assignment2_Question2

This area chart visualizes the consumption of five fuel types—solid, liquid, gas, cement production, and gas flaring—over time, with each category overlaid as a semi-transparent colored area. The chart uses D3 v7 to fetch CSV data from a GitHub repository, parse it into numeric values, and render the areas using `d3.area` paths. Axes are drawn with `d3.axisBottom` and `d3.axisLeft`, and a separate SVG legend maps colors to labels. The visualization compares consumption magnitudes across categories while the overlapping areas reveal relative trends.

HHarsha vardhan reddy Yarmareddy
86% match
Loading thumbnail…

Assignment2_Question2.1

This visualization displays the annual consumption of different fuel types—solid fuel, liquid fuel, gas fuel, cement production, and gas flaring—as a series of overlaid area charts. The chart uses a time-based x-axis and a linear y-axis to show the magnitude of each fuel source over time. Built with D3 v7, the code loads CSV data from a GitHub repository, parses it, and creates five separate semi-transparent area paths using `d3.area()`, each with its own color, to render the SVG output.

HHarsha vardhan reddy Yarmareddy
85% match
Loading thumbnail…

Task9_Question2

This area chart visualizes carbon emissions production across multiple countries over time, using stacked colored regions to compare annual values. The code loads data from a CSV file via `d3.csv` and renders SVG paths using the `d3.area` generator, with `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. It includes custom axis labels, rotated tick text, and an interactive legend built with SVG rectangles. Colors are assigned sequentially using HSL values, and axes are generated with `d3.axisBottom` and `d3.axisLeft`.

KKeerthi
85% match
Loading thumbnail…

Task9_Question2

This example displays an area chart of diesel prices from 2005 to 2023, with the year on the x-axis and the value on the y-axis. The chart uses a violet-colored area to visually represent the trend over time. The code loads data from a CSV file using `d3.csv`, processes it, and renders the chart as an SVG. It employs the `d3.scaleLinear` and `d3.area` APIs to create the scales and area shape, with axes generated using `d3.axisBottom` and `d3.axisLeft`.

Aanusharamana0@gmail.com
81% match
Loading thumbnail…

Activity7.1_Question2

This area chart visualizes global CO₂ emissions over time. The graphic fills the space beneath the line with green, making the upward trend in emissions immediately visible against the chart's white background. The visualization is built with D3 v7, using the `d3.area` API to generate the shape and `d3.scaleLinear` for axis scaling. Data is loaded from a remote CSV file via `d3.csv`, and the final SVG is rendered with standard D3 axes, labels for "Year" and "CO₂ Emissions," and a clean sans-serif font.

SSai Praveen Lokavarapu
80% match
Loading thumbnail…

Activity7.1_Question2

This visualization displays global CO₂ emissions over time as a green area chart, with the x-axis representing report years and the y-axis showing carbon output. The area chart is rendered using D3.js v7’s `d3.area()` generator, which fills the space between the line and the baseline. Data is loaded asynchronously via `d3.csv()` from a GitHub Gist, then mapped to linear scales (`d3.scaleLinear`) for positioning. Axes are added with `d3.axisBottom` and `d3.axisLeft`, and the SVG output is styled with a simple external stylesheet.

Ssagipavan2385@gmail.com
78% match
Loading thumbnail…

Question 2

This visualization shows the proportional distribution of CO2 emissions by fuel type across different vehicle categories. Using a horizontal stacked bar chart, each vehicle type displays segments for Petrol, Diesel, Electric, and Hybrid fuel sources, colored with a categorical scale. The D3.js code loads data from a CSV file, stacks the fuel-type columns using the `d3.stack` API, and renders the result as SVG rectangles scaled by the linear x-axis. A legend identifies each fuel type, while the y-axis labels the vehicle types. The chart enables quick comparison of fuel-source shares within each vehicle category.

Nnitishsurneni@gmail.com
77% match