Skip to main content
SimilarExport ZIP
100%

D3.js TP 2

✓ Published0🌍 Public
AAlxClt
Last edited Jan 22, 2018
Created on Jan 22, 2018

This example sets up a blank D3.js v4 visualization with a predefined margin and layout, reserving space for a chart within an 760x760 pixel area. The code establishes the SVG dimensions and margins, preparing the canvas for data rendering. It loads the classic Iris dataset from a CSV file, which contains sepal and petal measurements for three species of iris flowers. The visualization is built using the D3.js library, though the current code only initializes the basic structure without yet implementing any specific chart type or data binding.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

D3.js TP 2

This example sets up a blank D3.js v4 visualization with a predefined margin and layout, reserving space for a chart within an 760x760 pixel area. The code establishes the SVG dimensions and margins, preparing the canvas for data rendering. It loads the classic Iris dataset from a CSV file, which contains sepal and petal measurements for three species of iris flowers. The visualization is built using the D3.js library, though the current code only initializes the basic structure without yet implementing any specific chart type or data binding.

AAlxClt
100% match
Loading thumbnail…

Tutorial 2 D3

This D3.js v4 visualization plots the classic Iris dataset, showing the relationship between petal length and petal width for three iris species. Each species is represented by a distinct symbol and color from the d3.schemeCategory10 palette. The chart uses d3.csv to load data, d3.scaleLinear for axes, and d3.axisBottom/left for tick marks. A linear regression line, calculated from the dataset's means, is drawn using d3.line. Hovering over a point displays its coordinates via a text tooltip, and a legend identifies the species. The SVG is generated using d3.select and d3.append.

JJboulery
81% match
Loading thumbnail…

d3 Starter

This example uses D3 v6 and the SVG rendering framework to display the classic Iris dataset as a scatter plot. It loads the CSV from a GitHub gist and parses numeric columns, then uses `scaleLinear` for both axes to map petal length against sepal length. The code demonstrates D3's modern `join` API to bind data to circles, and includes `axisLeft` and `axisBottom` for labeled axes with a custom font size. The plot fills the browser window, resizing with `window.innerWidth` and `window.innerHeight`.

TTsaiJie
80% match
Loading thumbnail…

D3: Drawing with iris data

This example visualizes the classic Iris dataset by plotting sepal length against sepal width for three species of iris flowers. Each species is distinguished by a unique symbol shape and color: red triangles for setosa, orange crosses for virginica, and blue stars for versicolor. The visualization also overlays a least-squares regression line for each species, computed from the data, to show trends in the relationship. Built with D3 v4, the code loads the CSV data and uses `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.symbol` to render the SVG scatterplot and its axes.

MMathReynaud
80% match
Loading thumbnail…

D3: Drawing with iris data

This example visualizes the classic Iris dataset by plotting sepal length against sepal width for three species of iris flowers. Each species is distinguished by a unique symbol shape and color: red triangles for setosa, orange crosses for virginica, and blue stars for versicolor. The visualization also overlays a least-squares regression line for each species, computed from the data, to show trends in the relationship. Built with D3 v4, the code loads the CSV data and uses `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.symbol` to render the SVG scatterplot and its axes.

MMathReynaud
80% match
Loading thumbnail…

Tutorial 2 D3

This scatterplot maps the classic Iris flower dataset, plotting petal length against petal width for 150 samples. It uses the D3.js v4 library, rendering as an SVG with axis ticks and labels. The code employs `d3.scaleLinear` for both axes, `d3.axisBottom` and `d3.axisLeft` for the chart frame, and `d3.symbol` with `d3.symbolCircle`, `d3.symbolCross`, and `d3.symbolDiamond` to distinguish the three species—setosa, versicolor, and virginica—by both shape and color. Data is loaded from a local `iris.csv` file.

JJboulery
79% match
Loading thumbnail…

TP2

This example visualizes the classic Iris dataset, plotting sepal length against sepal width for three species of iris flowers. Each species is distinguished by a unique D3 symbol shape and color: crosses for setosa, stars for versicolor, and wye symbols for virginica. A green line overlays the scatterplot, representing a linear regression trend calculated from the data’s sepal dimensions. The visualization is built with D3 v4, using its SVG rendering, linear scales, axis generators, and symbol API to display the categorical data points.

AAlxClt
79% match
Loading thumbnail…

D3 Scatter Plot (Vanilla JS)

This example renders a scatter plot of iris flower measurements, mapping petal length to the x-axis and sepal length to the y-axis. It loads CSV data from a Gist URL using `d3.csv`, parses numeric fields, and applies `d3.scaleLinear` for both axes. Circles are appended to an SVG via `d3.select` and `join`, with axes generated by `d3.axisLeft` and `d3.axisBottom`. The chart fills the browser window, using a margin convention and D3 v6 with vanilla JavaScript.

AAndrea Mignone
79% match