Heat Map

100%

✓ Published0🌍 Public

Last edited Nov 10, 2021

Created on Nov 4, 2021

This heat map visualizes five car models from a CSV dataset, plotting engine displacement (hubraum) on the x-axis and car name on the y-axis, with cell colors encoding horsepower (leistung) using conditional fills (SteelBlue, LightSteelBlue, and Orange). Built with D3 v7 and SVG rendering, the code uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom`/`d3.axisLeft` for the axes. The cells are drawn as rectangles with attribute-based data binding, and the legend text explains the maximum power and speed values.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

HeatMap

This heatmap visualizes automobile specifications from a small dataset, displaying cars along the x-axis and attributes such as engine size, speed, power, and price along the y-axis. Cell colors, rendered with the `d3.scaleSequential` and `d3.interpolateInferno` color scale, encode the power value of each car. The chart is built with D3 v4, using `d3.scaleBand` for axes and SVG rectangles for cells. Interactive tooltips appear on hover, showing the car’s power value.

Sshatomouimena

86% match

Loading thumbnail…

A7- Heatmap

This heatmap visualizes average engine horsepower across model years for the top five car manufacturers in a dataset loaded via d3.csv. The x-axis shows the year, the y-axis lists manufacturers, and each cell is colored using d3.scaleThreshold with explicit horsepower bins. Interactivity comes through a custom tooltip that appears on mouseover, while a manually constructed legend displays the color ranges. The chart is rendered as SVG using d3.scaleBand for the axes.

SSukhraj Singh

82% match

Loading thumbnail…

Activity6_task2

This visualization shows the distribution of horsepower across ten car models, using a horizontal stacked bar chart where each bar represents a model and segments show the proportion of its power falling into five ranges from below 200 to above 800 horsepower. The chart uses a divergent color scale from green through purple, blue, yellow, and red, with model names on the y-axis and percentage on the x-axis. Built with d3.v7, it employs d3.stack() to create the stacked layout, d3.scaleBand() for the categorical y-axis, and d3.scaleLinear() for the continuous x-axis. Interactive tooltips display the exact percentage for each segment on mouseover, with data sourced from a CSV file containing proportional values that sum to one per car.

Yyadlapallisaisathvik@gmail.com

80% match

Loading thumbnail…

Cars HeatMap 01

This interactive visualization displays the performance of various car models across multiple dimensions, specifically showing the relationship between a selectable metric, such as Acceleration, Displacement, or Horsepower, and fuel efficiency (Miles_per_Gallon). The view is structured as a small multiples grid, with each panel representing a different country of origin. The visualization uses Vega and Vega-Lite’s API to perform a KDE2D density estimation, which is then rendered as a heatmap using the `viridis` color scheme. Users can dynamically adjust the smoothing bandwidth, cell size, and color scale resolution, while a legend shows the normalized density probability.

OOleJRask

80% match

Loading thumbnail…

car scatter plot

This scatter plot visualizes the relationship between engine cylinders and horsepower for a dataset of automobiles. The D3 v5 code loads CSV data from an external URL, scales the values linearly, and renders each car as a semi-transparent steelblue circle. Customized axes include tick formatting and labels for both the x-axis (cylinders) and y-axis (horsepower), with a title displayed at the top. The SVG rendering approach draws the circles within a margin-adjusted group, using D3’s scaleLinear, axisBottom, and axisLeft APIs.

Gginnyching

80% match

Loading thumbnail…

Heatmap of mtcars dataset

This heatmap visualizes the classic mtcars dataset, showing the relationship between car models and their attributes such as mpg, horsepower, and weight. Each cell is color-coded using d3.scale.category10 based on the raw value from the CSV data, with a tooltip revealing the specific car, property, and value on mouseover. The chart is built with D3 v3, using SVG rectangles positioned via a grid, and includes a brief animation for tooltip opacity transitions. The x-axis represents cars, the y-axis represents properties, and the legend is intended to display a color scale, though the color scale is not fully implemented.

JJverma

80% match

Loading thumbnail…

(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`.

Rreddyswethuvahana@gmail.com

79% match

Loading thumbnail…

heatmap with legend d3

This heatmap visualizes the average fuel economy (mpg) of cars across model years and engine displacement ranges, using color intensity to represent efficiency values. The chart is built with D3 v7, loading CSV data and using `d3.rollup` to aggregate means, `scaleBand` and `scaleTime` for axes, and a sequential color scale with `d3.interpolateBlues`. Interactive tooltips display details on hover, while the legend is generated using the d3-legend library.

Ccwb314159@gmail.com

79% match