Area Chart

100%

✓ Published0🌍 Public

Last edited May 3, 2021

Created on May 3, 2021

This interactive area chart visualizes the Iris dataset, plotting petal length against sepal width. The visualization uses React and D3 v5 to render an SVG showing data points as circles. The code builds D3 linear scales for the axes, formats tick labels with `format('.2s')`, and includes tooltips through SVG `<title>` elements. Data is loaded asynchronously from a CSV using D3's `csv` function, with the chart styled using a Poppins font and muted color palette.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Iris Scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length against sepal width for individual flowers, with hover tooltips revealing exact measurements. The chart uses React with D3 v7, employing `scaleLinear` for axes and `extent` for domain calculation, while SVG circles render the data points. Axis components generate ticks and labels through D3's `ticks()` method. The visualization uses `d3.csv` to fetch and parse the dataset, with marks styled using CSS classes and a Poppins font.

JJames Rhodes

88% match

Loading thumbnail…

Iris data

This scatterplot displays the Iris flower dataset, plotting petal length against sepal width for individual flowers. The visualization uses React with D3 v7’s `scaleLinear` and `extent` functions to map the data to SVG coordinates, rendering each sample as a circle. Axes are generated via custom components, with tick marks and labels styled through CSS. The data is loaded asynchronously from a remote CSV using D3’s `csv` function, and the chart includes tooltip formatting for x-axis values.

JJosh Zalcman

88% match

Loading thumbnail…

Scatter Chart

This scatter chart visualizes the Iris dataset, plotting petal width against sepal width for individual flowers. The visualization uses React to render SVG elements, with D3 v5 utilities like `scaleLinear` and `extent` handling the data scaling and domain calculations. Custom React components construct the axes and circular marks, while the data is loaded asynchronously via D3's `csv` function. The chart includes labeled axes and gridlines, with each data point rendered as a circle that reveals its value on hover.

BBetty

87% match

Loading thumbnail…

Scatter Plot

This interactive scatter plot displays the Iris dataset, plotting petal length against sepal width for individual flowers. The visualization is built with React and rendered as SVG elements, using D3 v7 scales (d3.scaleLinear) and axes. Each data point is a circle with a radius of 10, and hovering reveals the petal length as a native tooltip. The code uses d3.extent to set domains, d3.csv for data loading, and d3.format with a custom tick formatter that replaces 'G' with 'B' for axis labels.

Aangelathacker123

87% match

Loading thumbnail…

scatter plot

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. It uses d3.csv to load the data, d3.scaleLinear for scaling, and d3.axisLeft and d3.axisBottom for tick marks. The SVG circles are rendered pink, matching the chart’s background, with margins sized proportionally to the viewport. The code reads window dimensions and appends the chart directly to the body.

Jjmetzg11alpine

87% match

Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris Dataset, showing the relationship between petal length and sepal width for individual iris flowers. The React-based visualization uses D3 v5 scales and axes to map the quantitative values to SVG coordinates. Data loads asynchronously via `d3.csv`, with each flower represented as a circular mark. The chart includes clearly labeled axes with rotated y-axis text, formatted tick values using `d3.format`, and a custom tooltip system that displays the petal length when hovering over a point. Styling is applied through CSS classes for ticks, labels, and marks.

Ggujjapooja7@gmail.com

87% match

Loading thumbnail…

scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length on the x-axis against sepal width on the y-axis. Built with React and D3 v7, it uses d3.scaleLinear to map data values to SVG coordinates, rendering circles with tooltips. The chart includes custom axes via d3.ticks, with axis lines and labels styled through CSS. Data is loaded asynchronously from a CSV file using d3.csv.

BBlake McCarty

87% match

Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis for each flower specimen. Rendered as SVG circles with fixed radius, the chart uses D3’s `scaleLinear` functions for both axes, with axis ticks generated by custom React components. The code leverages React hooks (`useState`, `useEffect`, `useCallback`) to asynchronously load the CSV data via D3’s `csv` method, parsing numeric fields before display. Axis labels and tick formatting are applied through D3’s `format` utility, with tooltips provided by SVG `<title>` elements.

NNikithakatta30

87% match