Cars Scatter Plot

Cars Scatter Plot

This scatter plot displays 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 and gridlines drawn from tick marks. The visualization uses D3 v5 APIs including `d3.csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `select`. Data is loaded from an external CSV, parsed into numeric values, and rendered as SVG circles within configured margins and scales.

Ssppcmccoy

Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the UCI Machine Learning Repository’s Auto MPG data set. Red, semi-transparent circles mark each vehicle, with axes labeled and a title displayed above the plot. The code uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.axisBottom and d3.axisLeft to render tick marks and gridlines. SVG elements are appended and positioned via d3-selection, with data parsed into numeric values before rendering.

MMukund Khandelwal

Cars 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 visualization uses D3 v5’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs, rendering as SVG. It reads the dataset from a remote URL, converts numeric fields, and draws the chart within configured margins, including custom title and axis labels.

Cars 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 visualization uses D3 v5’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs, rendering as SVG. It reads the dataset from a remote URL, converts numeric fields, and draws the chart within configured margins, including custom title and axis labels.

Cars 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 visualization uses D3 v5’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs, rendering as SVG. It reads the dataset from a remote URL, converts numeric fields, and draws the chart within configured margins, including custom title and axis labels.

Cars 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 visualization uses D3 v5’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs, rendering as SVG. It reads the dataset from a remote URL, converts numeric fields, and draws the chart within configured margins, including custom title and axis labels.

Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the UCI Machine Learning Repository’s Auto MPG data set. Red semi-transparent circles represent each car, positioned using linear scales for both axes. The visualization is built with D3 v5, using `scaleLinear`, `axisBottom`, and `axisLeft` to render axes and grid lines, while SVG elements handle the circles and labels. The code loads remote CSV data, converts numeric fields, and appends a title and axis labels within a margin-based layout.

SSagar Malviya

Cars 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 vehicle, with positions determined by linear scales mapping those two numeric attributes. The visualization uses D3 v5 APIs such as `select`, `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, rendering axes and circles as SVG elements. Axis labels and a title are appended as text, while tick marks and gridlines are styled via CSS.

TTomisin Owolabi