ice_6

ICE6 : Scatter Plot

This example shows a scatter plot of penguin measurements, mapping flipper length on the x-axis and body mass on the y-axis. Each circle’s fill color encodes the penguin species (Adelie, Gentoo, or Chinstrap), while its horizontal and vertical radii encode bill length and bill depth, respectively. The visualization uses D3 v5 with SVG rendering, loading data from a CSV file via `d3.csv`. Axes are created using `d3.axisLeft` and `d3.axisBottom`, with scales from `d3.scaleLinear` and data extents from `d3.extent`; the code also labels both axes and the plot title.

Ssrividya-bachina

ICE-6

A scatter plot visualizes penguin measurements, plotting flipper length on the x-axis against body mass on the y-axis, with each point colored by species. The code uses D3 v7’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and render the data as SVG circles. Culmen length and depth are also parsed but not visualized. Axis labels and a title are added via SVG text elements, with the plot sized to the full browser window.

Kkarnisrikanth2212

ICE-6

This scatter plot visualizes penguin measurements, plotting flipper length against body mass for individual penguins, with point color encoding species. Circles are positioned using linear scales derived from the data extents, and each point also encodes culmen length and depth through its rx and ry attributes. The visualization uses D3 v7’s `csv` loader, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs, rendering as SVG on a React-rendered page. Data comes from a remote gist CSV containing Palmer Penguins measurements, with labeled axes and a title.

Kkarnisrikanth2212

ICE6 : Scatter Plot

This scatter plot visualizes penguin measurements from a CSV dataset, plotting flipper length against body mass for individual penguins. Each point is colored by species—orange for Adelie, red for Gentoo, and blue for the remaining species—using D3’s `scaleLinear` and `extent` functions to map data to screen coordinates. The SVG circles are positioned with `cx` and `cy` attributes, and the axes are rendered via `axisLeft` and `axisBottom` from D3 v5. The code uses D3’s `csv` loader to fetch the data and a `join` operation to bind it to circle elements.

99176371431

ICE6 : Scatter Plot

This scatter plot visualizes the relationship between flipper length and body mass for three penguin species, with color encoding for species and point size reflecting bill dimensions. Built with React and D3 v5, the visualization uses `d3.csv` to load the Penguin dataset, `scaleLinear` for axis scaling, and SVG `circle` elements for marks. The code maps bill length and depth to the `rx` and `ry` attributes, creating elliptical points that vary per observation. Axis labels and custom fonts are rendered through SVG text elements, with the plot centered on screen.

MMounika0927

ICE-6

This scatter plot visualizes penguin measurements, mapping flipper length on the x-axis, body mass on the y-axis, and coloring each point by species using a custom color function. The code loads data from a CSV file via `d3.csv`, scales the axes with `scaleLinear` and `extent`, and renders circles with SVG. Axis ticks are drawn using `axisLeft` and `axisBottom`, with text labels added for both axes and a title.

EEeshwarReddy

ICE-6 Penguin Scatter Plot

This scatter plot visualizes penguin measurements, mapping flipper length and body mass on the x and y axes while encoding each point’s color by species (Adelie, Gentoo, or other). It uses D3 v5’s `csv`, `scaleLinear`, `extent`, and axis functions within a React-based SVG rendering. The data, sourced from a CSV file, also includes bill dimensions as attributes, though these are not plotted. Axes labels and a title are added via SVG text elements, with body margins preventing overflow.

MMadan05101998

ICE-6

This example visualizes the relationship between flipper length and body mass for three penguin species, with each species encoded by color. The scatter plot uses D3’s `scaleLinear` and `extent` to map data values to SVG circle positions, with axes generated via `axisLeft` and `axisBottom`. Data is loaded from a CSV using `d3.csv`, and the chart also encodes culmen length redundantly through circle `rx` and `ry` attributes, though the radius remains constant. The visualization fills the window using `window.innerWidth` and `window.innerHeight`, with custom font styling for axis labels.

Mmboinapally17