Cars Scatter plot

Cars Scatter plot

This scatter plot visualizes the relationship between years of service and salary for university professors. Each circle represents an individual, with its position determined by the `d3.scaleLinear` scales mapping the x-axis (years of service) and y-axis (salary in USD). The chart uses `d3.axisBottom` and `d3.axisLeft` for labeled axes, and a 1.2-second `transition` animation grows the circles from radius zero to their final size. The data is loaded from a CSV file and filtered to include only professors with more than two years of service.

BbeauMarko

90% match

Cars Scatter Plot

This scatter plot visualizes car data from the UCI Machine Learning Repository's Auto MPG Data Set, showing the relationship between vehicle attributes. The visualization uses D3.js version 5 with an SVG rendering approach, employing `d3.scaleLinear`, `d3.scaleBand`, and `d3.scaleOrdinal` to map the data. The code reads data from a CSV file and creates grouped bar charts for each month, with colors distinguishing different telescope measurements. Axes are rendered using `axisLeft` and `axisBottom` functions, with styling applied through a linked CSS file.

82% match

Cars Scatter Plot

This scatter plot visualizes the relationship between year and revenue for a dataset of cars, with each red, semi-transparent circle representing a data point. The code uses the D3 library (v5) to create an SVG visualization, employing `scaleLinear` for both axes, `axisLeft` and `axisBottom` for gridlines and ticks, and `csv` to load data from an external file. The plot is titled "Cars: Horsepower vs. Weight," and the data originates from the UCI Machine Learning Repository's Auto MPG Data Set.

MMukund Khandelwal

82% match

Cars Scatter Plot

This scatter plot displays automobile data from the UCI Machine Learning Repository's Auto MPG data set. The visualization uses D3 version 5 to render SVG circles, with a red, semi-transparent fill, within a fixed 960×500 pixel canvas. The code defines linear scales for both axes, though the current implementation only maps population data from a separate CSV file, which is not the car data mentioned in the title. Axis labels and ticks are styled via CSS, and a title is included, though the visualization appears incomplete.

82% match

Cars Scatter Plot

This scatter plot visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, displaying relationships between vehicle attributes. Red, semi-transparent circles represent individual cars, with overlapping points revealing density patterns. The visualization uses D3 v5’s `csv` loader, `scaleLinear`, `extent`, and axis functions (`axisLeft`, `axisBottom`) to map data values to SVG coordinates. Styled axes and labels with large, muted typography enhance readability, while the `format` utility handles numeric tick labels. The chart is rendered entirely in SVG within a fixed 960×500 viewport.

Cars Scatter Plot

This scatter plot visualizes car data from the UCI Machine Learning Repository’s Auto MPG dataset, displayed as red semi-transparent circles on an SVG canvas. The chart maps quantitative attributes to the x- and y-axes using D3 v5’s `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` functions, with labeled tick marks and an axis label. Data is loaded via `d3.csv` and rendered with `select` and `svg` elements, styled through CSS for opacity and typography. The code sets a fixed 960×500 pixel SVG and uses only the imported D3 modules for scaling and axes.

Cars Scatter Plot

This scatter plot visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, displaying relationships between vehicle attributes. Built with D3 v5, the SVG-based visualization uses `d3.scaleLinear` for axes and `d3.scaleOrdinal` for color encoding. The code renders grouped bar charts from CSV data rather than traditional scatter points, with `d3.scaleBand` handling categorical month groupings and `d3.axisLeft` and `d3.axisBottom` constructing the chart’s axes.

Cars Scatter Plot

This scatter plot visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, plotting horsepower on the x-axis against weight on the y-axis. Each red semi-transparent circle represents a car, with axis labels and a title—though the title text says "Incomes of declarator," which appears mismatched with the dataset. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, `axisLeft`, and `csv` to load and render the SVG, applying margins and scales to position the circles.

PPieris Kalligeros