Dv2_ScatterPlot

D3 Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and miles per gallon (MPG) for cars from the UCI Auto MPG dataset. Each point represents a vehicle, with steelblue semi-transparent circles plotted on axes with gridlines. The visualization is built with D3 v7, using `scaleLinear` for scaling, `axisLeft` and `axisBottom` for axis generation, and a data join to render circles from CSV data. The chart includes axis labels and a title, with styling applied via CSS.

Ccaedcagt76@gmail.com

Scatter Plot

This interactive scatter plot visualizes the relationship between miles per gallon and horsepower for cars from the auto-mpg dataset, with each red semi-transparent circle representing a vehicle. The chart uses d3.scaleLinear to map data values to pixel coordinates, d3.axisBottom and d3.axisLeft to render labeled axes with gridlines, and SVG circles for marks. Data is loaded via d3.csv, with circles and labels appended through D3 selections, while axis tick styling is handled in the linked stylesheet.

ZZY Huang

Scatter Plots

This interactive scatter plot visualizes the relationship between a vehicle’s miles per gallon and its horsepower, with each dot colored by country of origin and sized by weight. The visualization is built using the Vega-Lite API, which programmatically constructs the chart specification by chaining methods like `vl.x().fieldQ('mpg')` and `vl.color().fieldN('origin')`. Data is loaded asynchronously from the UCI Auto MPG dataset using the `csv` function from d3. The chart fills the browser window and includes tooltips, which are enabled through the Vega-Tooltip handler.

MMeAzuree

Cars Scatter Plot

This scatter plot visualizes the relationship between miles per gallon (MPG) and horsepower for a dataset of cars, with each circle representing a vehicle. The chart uses color to differentiate individual data points, while axes are labeled and scaled using D3's `scaleLinear` and `scaleBand` functions. Built with D3 v5, the visualization renders as an SVG and reads its data from an external CSV file. The code employs D3's `axisLeft`, `axisBottom`, `extent`, and `format` APIs to construct the axes and tick marks.

EEdward-Elric233

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the UCI Machine Learning Repository’s Auto MPG dataset. Each red semi-transparent circle represents a car, with positions scaled by d3.scaleLinear and axes generated using d3.axisLeft and d3.axisBottom. The SVG rendering includes tick marks and labeled axes, with the chart built using D3 v5’s selection and scale APIs after parsing the CSV data with d3.csv.

Yyoghurtx

Cars Scatter Plot

This scatter plot visualizes car data from the UCI Machine Learning Repository’s Auto MPG dataset, displaying horsepower versus weight. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` and `scaleTime` for axes, along with `axisLeft` and `axisBottom` to create labeled time and temperature scales. Data is loaded via D3’s `csv` method and mapped to circle elements with red fill and partial opacity. The chart includes a title, axis labels, and a grid generated through tick size settings.

Mmyskotima130

Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the UCI Machine Learning Repository’s Auto MPG dataset. Red semi-transparent circles represent individual vehicles, with axes labeled accordingly. The code uses D3 v5’s `scaleLinear`, `axisBottom`, `axisLeft`, and `extent` functions to map data to the SVG canvas, while `csv` loads the external dataset. Grid lines and axis labels are styled via CSS, and the visualization is rendered entirely as SVG elements.

LLakshmi9666

Cars Scatter Plot

This scatter plot from the UCI Auto MPG dataset shows the relationship between horsepower and weight for cars, with each point representing a vehicle. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `axisBottom`, and `axisLeft` to construct the axes, while semi-transparent red circles convey data density. Data is loaded via `csv()` from a remote URL, and the code explicitly parses numeric fields before rendering. The chart includes labeled axes and a title, with gridlines created through tick sizing.

Ggundupatil