Skip to main content
SimilarExport ZIP
100%

Episode 8 - Inicio

✓ Published1🌍 Public
SSergio
Last edited Sep 10, 2025
Created on Sep 10, 2025
Forked from Hello HTML

This visualization displays a scatter plot of the Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each of the 150 data points is rendered as a circle in an SVG, using scaled linear axes with margins. The code loads the data via `d3.csv`, parses numeric fields, and creates circles with `selectAll` and `join`. It appends bottom and left axes using `axisBottom` and `axisLeft`, while sizing the chart to the full browser window.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Episode 8 - Scatter Plot (GIRIBAW)

This scatter plot displays the relationship between petal length and sepal length for the Iris flower dataset, loaded from a GitHub Gist via `d3.csv`. The visualization uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to map data points and render axes, with each circle representing a flower sample positioned by its x and y values. The code applies a full-window SVG canvas, fixed circular radius, and margins for readability, drawing all marks and axes dynamically after the asynchronous data fetch completes.

Eemberix@gmail.com
85% match
Loading thumbnail…

Episode 12

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements and species. The visualization features dropdown menus to select which quantitative or categorical columns map to the x- and y-axes, with the chart dynamically re-rendering when selections change. Built using D3 v6 and the selection.join pattern, it uses d3.scaleLinear for continuous data and d3.scalePoint for categorical species values, with 1000ms transitions animating the circles as scores update. The iris data is loaded from a GitHub Gist, and the SVG rendering includes shared axis transitions.

Aadventuresenglish.info@gmail.com
83% match
Loading thumbnail…

Activity8tutorial 3

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Points are colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica—with circle radii fixed at five pixels. The visualization loads data from a remote CSV via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` for scales. Axes are generated with `d3.axisLeft` and `d3.axisBottom`. The code also maps sepal dimensions to circle attributes, though these do not affect rendering. SVG elements are bound and updated with `selectAll(...).data(...).join(...)`.

BBindumadhavi
82% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis. Using D3 v7, it loads CSV data via `d3.csv`, applies linear scales with `scaleLinear`, and renders circles as marks. Axes are drawn with `axisLeft` and `axisBottom`, and the SVG canvas fills the browser window. The code explicitly parses numeric fields and converts data values into pixel coordinates for each point.

SScott-Collier
82% match
Loading thumbnail…

Reusable D3 Scatter Plot - Ep9

This example demonstrates a reusable D3 scatter plot that visualizes the Iris dataset, mapping petal length to the x-axis and sepal length to the y-axis. It uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.axisLeft and d3.axisBottom to generate the axis ticks. The plot renders circles with a fixed radius in an SVG that fills the browser window, with margins applied using d3-selection’s append and attr methods. The code is written in D3 v7 and is the ninth episode in a series on building reusable visualizations.

SSam Hege
82% match
Loading thumbnail…

Data Visualization

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal dimensions by selecting different measurements for the X and Y axes via dropdown menus. The D3.js visualization uses `csv` to load data and `scaleLinear` with `extent` for axes, while circles animate their positions with `transition` when axes change. The scatterPlot module uses `selectAll` and `join` for rendering SVG circles and axes, with an interactive menu system built with `dispatch` for change events.

MMireia Parra
82% match
Loading thumbnail…

Activity 9

This animated scatter plot displays the Iris dataset, cycling through different x-axis attributes (petal width, sepal width, petal length, sepal length) at intervals. It color-codes points by species (setosa, versicolor, virginica) with a legend and updates axis labels accordingly. The visualization uses D3 v6, loading data via `d3.csv`, and constructs the chart with a custom reusable `scatterPlot()` function that leverages `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. SVG elements, including circles and text, are manipulated through `selectAll` and `join` for smooth transitions.

DDouglas mochama
82% match
Loading thumbnail…

Activity 7 Scatter Plot

This scatter plot displays the Iris dataset, mapping petal length and petal width on the axes while coloring each point by species (setosa, versicolor, or virginica). The visualization encodes sepal length and width as the `rx` and `ry` radius properties of each circle, effectively creating ellipse-like markers. Built with D3 v6, the code loads CSV data via `d3.csv`, uses `scaleLinear` and `extent` for scaling, and renders SVG circles with `selectAll` and `join`. Axis labels are added manually, and the plot fills the entire browser window.

NNukaShravanKumar
81% match