Challenge

Fork of Simple Scatter Plot

This example demonstrates a scatter plot of the Penguins dataset, displaying bill length against flipper length for individual penguins. The visualization is rendered using D3.js primitives like `select` and `join` to create SVG elements, with scales and axes computed via `scaleLinear` and `axisLeft`. The plot includes labeled axes and a gray inner rectangle to frame the data points, which are drawn as semi-transparent circles. The code structure separates the rendering logic into a customizable `viz` function, making it easy to adapt the chart for other datasets.

Xx900.cs11@nycu.edu.tw

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

Aamari.urquhart@gmail.com

Fork of Simple Scatter Plot

This fork visualizes the Penguins Dataset as a scatter plot, mapping bill length to the x-axis and flipper length to the y-axis. It uses D3’s `scaleLinear` and `axisLeft` to position axes, along with custom axis label utilities from `@curran/axis-labels`. The `selectAll().join()` pattern renders rectangles for the background and circles for each penguin, with fixed radius and opacity values to show data density in the plot.

Fork of Simple Scatter Plot

This example is a fork of a simple scatter plot that visualizes the Penguins Dataset, showing the relationship between bill length and flipper length. The plot uses D3's `scaleLinear` for axes and `extent` for data ranges, with the `viz` module handling axis labels and rendering circles with configurable radius and opacity. The chart displays each penguin as a semi-transparent point on a light gray background, with labeled axes for both measurements. The code is designed to be easily modified for other datasets by changing the data source and value functions.

Pprint("Ayush")

Eevonne0930.cs11@nycu.edu.tw

Fork of Simple Scatter Plot

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.

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

Oownerofthesoul0000@gmail.com

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.

Fork of Simple Scatter Plot

This fork of a simple scatter plot visualizes a time-series dataset, plotting data values against years. The x-axis represents the year extracted from a `Time_Period` attribute, while the y-axis shows the corresponding `Data_Value`. The visualization uses D3's `scaleLinear`, `axisLeft`, and `extent` functions to map data to screen coordinates and renders circles with a fixed radius and opacity. It also employs custom `xAxis`, `yAxis`, `xAxisLabel`, and `yAxisLabel` functions from the `@curran/axis-labels` library to display axes and labels. The data source is imported from a VizHub dataset.

Vvigneshs1006@gmail.com