Fork of 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

Fork of Stylized Bar Chart

This example visualizes the Iris dataset as a scatterplot of sepal length against sepal width, with each flower species represented by a circular mark. The chart uses React components to render SVG axes and marks, with d3.scaleLinear handling both spatial scales. D3’s csv loader parses the data, while the d3.format function applies abbreviated tick labels. The visualization demonstrates a clean, styled layout with labeled axes and a tooltip showing the sepal length value on hover.

JJi Won Yeom

Fork of Stylized Bar Chart

This example visualizes the Iris Dataset as a scatter plot, mapping sepal length along the x-axis and sepal width along the y-axis. Each flower is rendered as a circle with a tooltip showing its sepal dimensions. The visualization uses React to generate SVG elements, with D3 v5 providing scaling, extent calculation, and tick formatting through `d3.scaleLinear` and `d3.format`. The axes and marks are constructed from reusable components, with custom styling applied via CSS classes for fonts and colors.

MMichael Bergerson

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

Fork of Stylized Bar Chart

This example visualizes the Iris dataset by plotting sepal length against sepal width as a scatterplot of circles. It shows the raw data points without any grouping or encoding by species, focusing purely on the relationship between these two measurements. The visualization is built with React and D3 v5, using `scaleLinear` for both axes and rendering SVG circles via the `Marks` component. Data is loaded asynchronously from a CSV file using `csv` from D3, and axes are generated with custom `AxisBottom` and `AxisLeft` components that render ticks and labels.

Iivipaneva2002@gmail.com

Fork of Stylized Bar Chart

This scatterplot displays the Iris dataset, plotting sepal length against sepal width, with each point representing a flower sample. The visualization uses D3.js scale functions to map data to SVG coordinates, with React components rendering the axes and circular marks. The chart is a fork of a stylized bar chart example, adapted to show the relationship between two quantitative variables. The styling employs the Poppins font and a custom color scheme, while tooltips reveal the sepal length value for each point.

Wweny1109

Fork of Stylized Bar Chart

This visualization displays the Iris dataset as an SVG scatter plot within a React application, mapping sepal length on the x-axis and sepal width on the y-axis. It uses `d3.scaleLinear` for both axes, with `d3.extent` to compute the domains from the CSV data, and renders circles for each observation. The code includes custom React components for the axes and marks, with `d3.format` handling the x-axis tick labels in compact notation. Styling is applied through CSS classes for ticks and marks, with data loaded via `d3.csv` from a GitHub-hosted file.

Pplusbeauxjours

Fork of Stylized Bar Chart

This interactive scatterplot displays the Iris flower dataset, mapping sepal length and width as circular marks. Built with React and D3 v5, it uses `d3.scaleLinear` and `d3.extent` to set scales, while custom Axis components render tick lines and labels in SVG. The visualization includes hover tooltips via SVG `<title>` elements, styled with Poppins typography and teal marks, with data loaded asynchronously from a CSV source.

IIlyas Filali