T8(Q3)

Q3

This scatter plot visualizes the relationship between horsepower and torque for various car makes, using color to distinguish different manufacturers. The D3.js code loads a CSV dataset from a GitHub URL, maps the data points to SVG circles, and applies a linear scale to the x and y axes. It uses `d3.scaleLinear`, `d3.extent`, `d3.scaleOrdinal`, and `d3.schemeCategory10` to handle scaling and coloring. The chart includes labeled axes for Horsepower and Torque, plus a legend showing the color-coded makes.

92% match

Q3

92% match

Nnsairitwikreddy@gmail.com

Q3

This is a scatter plot that visualizes the relationship between horsepower and torque for vehicles, with each point colored by the car’s make. The data is loaded from a remote CSV file, and the chart uses linear scales for both axes with ordinal color mapping. It is rendered as SVG using D3 v7, featuring axes with labels, semi-transparent circles, and a legend showing the color categories. The code calls d3.csv, d3.scaleLinear, d3.scaleOrdinal, d3.axisBottom, and d3.axisLeft.

89% match

Q3

This example shows a scatter plot of car data, comparing horsepower on the x-axis against torque on the y-axis, with each point colored by the car’s make. The visualization uses d3.csv to load data from an external CSV file, then applies d3.scaleLinear for both axes and d3.scaleOrdinal with d3.schemeCategory10 for coloring. It renders circles as SVG elements, includes axes labeled with text, and displays a legend listing each make.

Jjayakrishnanallani5@gmail.com

scatter plot

This scatter plot visualizes the relationship between horsepower and torque for ten car makes, with each make represented by a colored circle. The plot uses D3.js v7 with SVG rendering and interactive tooltips that display the car make and its values on hover. Axes are labeled and scaled using `d3.scaleLinear`, while circles are positioned with `d3.axisBottom` and `d3.axisLeft` for the grid. The chart is animated through CSS transitions on tooltip opacity, providing a clean, hover-driven exploration of the dataset.

Ttallurisaiteja96@gmail.com

Task-8(Q3)

This scatter plot visualizes the relationship between horsepower and torque for car models, with each point colored by car make. It loads data from a remote CSV file using `d3.csv` and renders SVG circles positioned by linear scales (`d3.scaleLinear`) with a color ordinal scale (`d3.scaleOrdinal`) using `d3.schemeCategory10`. The chart includes labeled axes via `d3.axisBottom` and `d3.axisLeft`, plus a legend mapping colors to makes.

Nnagabinduk2023@gmail.com

DV TASK-8 Q3

This scatter plot displays the relationship between horsepower and torque for a collection of cars, with each point colored by the car's make. It loads data from a remote CSV file using `d3.csv` and renders an SVG graphic. The visualization uses `d3.scaleLinear` for the x and y axes, `d3.scaleOrdinal` with `d3.schemeCategory10` for color encoding, and `d3.axisBottom` and `d3.axisLeft` for labeled axes. A legend identifies the makes.

(Q3)

This example visualizes a car dataset as a scatter plot of horsepower against torque, with each point colored by the car’s make and an opacity of 0.7. It uses D3.js v7 (loaded via UNPKG) to fetch a CSV from a GitHub repository, then employs `d3.scaleLinear` for both axes, `d3.extent` for domains, and `d3.scaleOrdinal` with `d3.schemeCategory10` for colors. SVG rendering is used for circles, axis labels via `d3.axisBottom` and `d3.axisLeft`, and a legend built with `selectAll` and `append`.