D3 Scatter Plot

D3 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. It displays each data point as a circle in an SVG rendered at full window size. The code uses d3.csv to load the data, d3.scaleLinear with d3.extent for axes, and d3.axisLeft and d3.axisBottom to draw the scales.

Sshmouelsamares

Ccharlieronchetti@gmail.com

D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis for each flower sample. The visualization uses D3 v7's `csv` loader to fetch and parse the remote dataset, then applies `scaleLinear` and `extent` to compute the axis domains from the numeric columns. SVG circles are drawn using a data join, with axes generated via `axisLeft` and `axisBottom`. The chart is rendered in vanilla HTML and JavaScript, filling the browser viewport dynamically.

D3 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis using circular marks. The code loads CSV data via `d3.csv`, scales it with `scaleLinear` and `extent`, and renders the points as SVG circles. Axes are generated with `axisLeft` and `axisBottom`, with the visualization sized to the full browser window. The example uses D3 v7 within a minimal HTML page, styling tick text via CSS.

KKhanin Sisaengsuwanchai

D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length for each flower specimen. The visualization uses D3 v7 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data coordinates to SVG circle positions with a fixed radius of 5 pixels. Circles are rendered via SVG `<circle>` elements appended through D3's selection and join operations, with axes positioned using margin-based transforms. The chart fills the browser window, with data loaded asynchronously from a remote CSV file using `d3.csv`.

Aalexscott-untitled

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is rendered as a circle using SVG within a React framework. The code utilizes `d3.csv` to load and parse the data, `d3.scaleLinear` for axis scaling, and `d3.extent` to determine data domains. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, while the chart dynamically fills the browser window's dimensions.

EEzhil-Kalai

D3 Scatter Plot

This example displays the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. The visualization uses D3 v7’s `select`, `csv`, `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` APIs to load the data, compute scales, and render SVG circles and axes. The plot fills the browser window, with bold tick labels, and the code demonstrates a straightforward data-ink pipeline from CSV parsing to interactive-free SVG rendering.

WWaseem Medhat

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis. Each flower is rendered as an SVG circle, with axes and titles added via `d3.select`, `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom`. The chart fills the browser window and uses custom fonts for tick labels and axis titles.

KKaustav Sen

D3 Scatter plot

This scatter plot visualizes the Iris flower dataset by plotting petal length against sepal length. The visualization uses D3.js v7 with linear scales to map data values to screen coordinates, and SVG circles represent individual data points. The code demonstrates data loading and parsing via d3.csv with type coercion for numeric fields. Axes are generated using d3.axisLeft and d3.axisBottom, positioned according to defined margins, while the plot dynamically fills the browser window using window.innerWidth and innerHeight.

JJuan Corrales Correyero