Scatter Plot Simple

Scatter Plot Simple

This scatter plot visualizes the Iris Dataset by mapping sepal length to the x-axis and petal length to the y-axis, with each flower sample represented as a large circle. The visualization deliberately omits axes, focusing purely on the distribution of points across three species. Built with D3 v7, the code uses `scaleLinear` and `extent` to compute scales from the data, then binds circles via `selectAll`, `data`, and `join`. The plot fills the browser window, with data loaded from a CSV file and parsed using `csvParse`.

LLauren

94% match

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flower specimens. Built with D3 v4, it loads data from a CSV file and uses linear scales with the margin convention to position circles in an SVG. The axis constraints are omitted, but the scatter plot effectively reveals the clustering of the three iris species based on their measured botanical dimensions.

Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting sepal length against petal length for 150 flower samples. The visualization loads data from a CSV file using `fetch` and `csvParse`, then renders circles with `selectAll` and `join`. D3 v7 scales (`scaleLinear`, `extent`) map data values to screen coordinates. Reusable axis components (`axisLeft`, `axisBottom`) display labeled x and y axes with offsets for the axis titles.

Fork of Scatter Plot Simple

This example visualizes the Iris Dataset as a scatter plot, mapping sepal length to the x-axis and petal length to the y-axis, with each flower represented by a fixed-radius circle. The plot has no axes, so it focuses purely on the distribution and clustering of the three species. The visualization uses D3 v7, loading data with `csvParse`, mapping values to pixel coordinates via `scaleLinear` and `extent`, and rendering circles through `selection.selectAll` with a `join`. The chart spans the full browser window, with data fetched asynchronously on initial render.

MMartha Cash

Basic Scatter Plot

This example shows a basic scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis for 150 flowers. Using D3 v4, it loads the data from a CSV file with `d3.csv`, applies linear scales via `d3.scaleLinear`, and renders each flower as a circle element in an SVG container. The plot does not encode species or other dimensions, and includes no axes or labels.

Scatter plot for iris data set

This visualization displays the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. Each point represents an individual flower, colored by species (setosa, versicolor, or virginica) using a custom marker function. The code loads data via `d3.csv` from a GitHub gist, parses numeric fields, and renders circles with `d3.selectAll` and `.join()`. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.extent` set the scales to the data domain.

Aachalasam

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length on the x-axis against petal length on the y-axis for 150 flowers. The scatter plot uses semi-transparent circular marks colored by species, with a categorical color legend generated via the d3-legend plugin. Built with D3 v4, the visualization employs d3.scaleLinear for axes, d3.axisBottom and d3.axisLeft for ticks, and d3.scaleOrdinal with schemeCategory10 for color mapping. The SVG render includes labeled axes and a legend, with data loaded from a CSV file.

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flowers of three species. Using D3.v4, it constructs an SVG scatter plot with labeled, ticked axes, employing `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` for coordinate mapping and axis generation. The visualization also demonstrates custom axis label styling and margin-based layout, with data loaded from a CSV file.