Skip to main content
SimilarExport ZIP
100%

Fork of Simple Scatter Plot

✓ Published0🌍 Public
Eevonne0930.cs11@nycu.edu.tw
Last edited Sep 12, 2024
Created on Sep 12, 2024

This scatter plot visualizes the Penguins Dataset, showing the relationship between bill length and flipper length across individual penguin specimens. The visualization uses D3.js to render circles scaled through `scaleLinear` and positioned on Cartesian axes, with axis labels added via the `@curran/axis-labels` package. The implementation separates layout configuration from rendering through a reusable `viz` function that handles axis generation, inner rectangle fill, and circle opacity. Data is loaded from `@curran/penguins`, mapping specific dataset fields to x and y coordinates.

AI-generated description

A simple scatter plot with D3 showing the Penguins Dataset.

Challenge

  • Fork this viz
  • Modify it to show your data
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Simple Scatter Plot

This scatter plot visualizes the Penguins Dataset, mapping bill length to the x-axis and flipper length to the y-axis for each penguin observation. The code uses D3’s `scaleLinear` to create scales from the data extents, then renders axes via the `axisLeft` function and custom `xAxis` and `yAxis` helpers from `@curran/axis-labels`. Circles are drawn with D3’s `selectAll` and `join` pattern, with configurable radius and opacity. The visualization is built using data imported from `@curran/penguins`.

LLê Minh Bằng
95% match
Loading thumbnail…

Fork of Simple Scatter Plot

This example visualizes the Penguins Dataset by plotting bill length against flipper length. Each circle represents a penguin, with its position determined by these two measurements, and the semi-transparent teal fill reveals overlapping data points. The visualization is built with D3, using `scaleLinear`, `extent`, and axis label helpers to render the scatter plot. It also incorporates `observeResize` from `@RelaxingSoul/res-axis` to handle responsive dimensions, and the SVG elements are managed through D3's `select` and `join` methods.

Oownerofthesoul0000@gmail.com
95% match
Loading thumbnail…

Fork of Simple Scatter Plot

This fork of a simple scatter plot visualizes the Penguins Dataset, plotting bill length against flipper length for individual penguins. The chart uses D3’s `scaleLinear` to map data values to pixel coordinates, with axes and labels from the `@curran/axis-labels` library. The `viz` function renders a gray inner rectangle and steelblue circles with fixed radius and opacity. The dataset is imported from `@curran/penguins`, and the code demonstrates how to customize the visualization by adding a configurable `circleColor` parameter to the existing scatter plot structure.

Hhailiwang@my.unt.edu
95% match
Loading thumbnail…

Fork of Simple Scatter Plot

This scatter plot visualizes the Penguins dataset from @curran/penguins, mapping bill length against flipper length. It uses D3 scales (scaleLinear), axis-labels from @curran/axis-labels, and SVGs rendered via d3.select. Points are drawn as circles with fixed radius and opacity, positioned using the xValue and yValue accessors. The inner rectangle fill and margins define the chart’s layout. The code is a fork meant for adaptation to other datasets.

Eeschuman20@gmail.com
95% match
Loading thumbnail…

Fork of Simple Scatter Plot

This example displays the relationship between bill length and flipper length in the Penguins dataset, plotting each penguin as a semi-transparent circle that reveals the overall distribution and correlation between the two measurements. The visualization uses D3.js, leveraging functions like `scaleLinear` for axis scaling, `axisLeft` for the y-axis, and the custom `viz` function to render axes, labels, and data points. The code implements a scatter plot programmatically, importing the dataset from `@curran/penguins` and styling the plot with a light gray inner rectangle and adjustable circle radius and opacity.

MMahbub hussain
95% match
Loading thumbnail…

Fork of Simple Scatter Plot

This fork of the simple scatter plot visualizes the relationship between bill length and flipper length in the Penguins Dataset, with each circle representing an individual penguin. The code uses `scaleLinear` to map data values to pixel coordinates, and draws axes, axis labels, and a background rectangle via the `@curran/axis-labels` library. Circles are rendered with D3's `selectAll` and `join` API, showing a clear pattern of measurement correlation across species. The example serves as a template for users to adapt with their own data by modifying the `xValue` and `yValue` functions.

Aanilthapa1.at23@gmail.com
94% match
Loading thumbnail…

Fork of Simple Scatter Plot

This example visualizes the relationship between bill length and flipper length for penguins, with each circle representing an individual penguin. The scatter plot uses a light gray background for the plotting area and semi-transparent circles to show data density. The code uses d3's `scaleLinear` for axis scaling, `extent` for data range calculation, and axis label functions from the `@curran/axis-labels` library. Data comes from the `@curran/penguins` dataset, and the visualization is built using declarative D3 joins.

Eedw.ext@gmail.com
94% match
Loading thumbnail…

Fork of Simple Scatter Plot

This fork of the Simple Scatter Plot visualizes the Penguins Dataset, plotting bill length against flipper length for individual penguin specimens. The D3 visualization uses `scaleLinear` and `extent` to map data values to pixel coordinates, rendering circles with configured radius and opacity settings against a light gray inner rectangle. The code leverages `xAxis` and `yAxis` from D3, along with custom axis label components, to present the measured biological attributes. The example demonstrates how to adapt a template visualization with custom data mappings and axis configurations for different datasets.

Ccolesaint123@gmail.com
94% match