Skip to main content
SimilarExport ZIP
100%

Iris Scatterplot

✓ Published2🌍 Public
JJames Rhodes
Last edited Apr 7, 2022
Created on Mar 4, 2022
Forked from Stylized Bar Chart

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.

AI-generated description

Scatterplot of the Iris dataset

data Iris Dataset

MIT Licensed

Similar vizzes

Loading thumbnail…

Iris Scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis, with each of the 150 flowers represented as a circle. The React-driven SVG uses D3 v7 scales, including `scaleLinear` and `extent`, to map data values to pixel coordinates. Axis components generate tick marks and labels via `xScale.ticks()`, while formatted tooltips appear on hover through SVG `<title>` elements. Data is loaded asynchronously with `d3.csv` from a remote gist, and the layout employs explicit margins for axis labels.

Ssaidhiraj16
96% match
Loading thumbnail…

Iris Data Scatter Plot

This visualization shows the Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal width on the y-axis. Each circle represents an individual iris flower, with a tooltip displaying the exact x-value on hover. The chart uses React state via `useState` and `useEffect` to load the CSV data through d3.csv, while d3.scaleLinear and d3.extent compute the scales. Axes are rendered as custom React components using SVG, with d3.format for tick labels and the Poppins font from Google Fonts.

Kkbrookshire420
96% 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
96% 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
95% match
Loading thumbnail…

Scatter Plot - Iris

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. The code uses React with D3 v5 utilities, including `scaleLinear`, `extent`, `csv` for data loading, and `format` for axis tick labels. Rendered as an SVG, it includes custom AxisBottom and AxisLeft components that generate ticks and gridlines, while Marks component draws circles with native tooltips via the `<title>` element. Data is fetched from a remote CSV file and parsed into numeric values during loading.

SSai Phaltankar
95% 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
95% match
Loading thumbnail…

Scatterplot

This scatterplot visualizes the classic Iris dataset, plotting petal length against sepal width for individual flowers. The React-based SVG chart uses D3's `scaleLinear` and `extent` functions to map data coordinates, with custom `AxisBottom` and `AxisLeft` components rendering tick marks and labels. Points are displayed as teal circles with a fixed radius, and hovering reveals a tooltip via the SVG `<title>` element. Styled with the Poppins font, the visualization employs D3's `csv` loader to fetch and parse the data from a remote GitHub gist.

MMark Simpson
95% match
Loading thumbnail…

A Scatter plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each point represents an individual flower, with a tooltip displaying the exact petal length value. The visualization uses React to render SVG elements, with d3.scaleLinear for both axes and d3.extent to set the domains. Axes are generated with custom tick components, and the chart includes labeled axis titles with rotated y-axis text. The data is loaded asynchronously from a CSV file using d3.csv.

JJonas Carvalho
95% match