Stylized Bar Chart

Fork of Stylized Bar Chart

This example displays the relationship between sepal length and sepal width for the Iris dataset, rendered as a scatter plot of circles. It uses React to manage the component structure and d3.scaleLinear scales for positioning, with d3.axisBottom and d3.axisLeft generated from reusable React components. The data is loaded via d3.csv from a GitHub gist, and each circle includes a native SVG title element for tooltips. Axes are labeled and styled using the Poppins font.

EEugenio2192

Stylized Scatter Plot

This scatter plot visualizes the relationship between sepal length and sepal width for iris flowers. The visualization uses d3.scaleLinear for both axes, with React components rendering SVG circles through the Marks component. Data is loaded asynchronously via d3.csv from a GitHub gist, with axes created using d3 ticks and formatted with d3.format. The plot features a clean, minimal design with teal circles and a Poppins font, while native SVG <title> elements provide tooltips on hover.

Ssophievanderhorst

Styles bar chart

This scatter plot visualizes the Iris dataset, showing sepal length versus sepal width for three flower species. The chart uses React for component structure and renders as SVG. D3’s `scaleLinear` handles the axes, while `csv` from d3 loads the dataset. Data points are colored by species—purple for setosa and versicolor, green for virginica—and each circle includes a native SVG `<title>` tooltip. Axis labels and ticks are styled with CSS, and the layout applies fixed margins.

Bbgeffrault

Fork of Stylized Bar Chart

This scatterplot displays the Iris flower dataset, plotting sepal length against sepal width for individual specimens. The chart uses React with D3 version 5, rendering SVG elements through reusable axis and mark components. Data is loaded asynchronously via d3.csv, with linear scales created using d3.scaleLinear and extent. Axis components generate tick marks and labels, while circular marks include tooltips via SVG title elements. The visualization is lightly styled with the Poppins font and a teal color for data points.

JJanna Uutela

Stylized Scatter Plot

A stylized scatter plot displays the relationship between sepal length and sepal width for Iris flowers, using a clean SVG rendering with circular marks and labeled axes. The visualization loads data from a CSV file via d3.csv, with React state managing the asynchronous data fetching. D3’s scaleLinear functions, d3.extent, and d3.format handle the axis scaling and tick formatting, while custom React components (AxisBottom, AxisLeft, Marks) render the chart elements. The plot includes axis labels, a rotated y-axis label, and tooltips showing formatted sepal length values on each circle.

CChristian Potdevin

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for individual flowers. Each point is rendered as an SVG circle using React components, with axes generated through reusable AxisBottom and AxisLeft components. The code leverages d3-scale’s scaleLinear for coordinate mapping, d3-format for tick labels, and d3.csv for data loading. Tooltips display formatted sepal length values via the circle title element, while a custom Poppins font and teal mark color give the chart its distinctive styling.

Aaakarsh satyam

Scatter Plot

This scatter plot displays the relationship between sepal length and sepal width in the Iris dataset, with each flower represented as a teal circle. The chart loads data from a CSV file using `d3.csv` and renders SVG circles via React components. Axes are built with `d3.scaleLinear` and custom tick components, while hover tooltips use the SVG `<title>` element to show formatted values.

Ppsabela

Stylized scatter plot

This stylized scatter plot visualizes the Iris dataset, showing the relationship between sepal length and sepal width for individual flowers. Built with React and D3 v7, it renders SVG circles using d3.scaleLinear for both axes, with the x-axis formatted via d3.format. The visualization includes labeled axes, tick marks, and a native SVG tooltip element that displays the formatted x-value when hovering over each data point.

SSong Tao Chen