Scatter Plot with Iris DataSet

Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width to point positions, while color distinguishes the three species: setosa, versicolor, and virginica. The plot uses D3.js v6 with an SVG rendering, employing `d3.csv` to load the data, `d3.scaleLinear` for axes, and `d3.extent` to set the scales. Separately, sepal length and width are encoded into the marker's width and height, though the ellipse-like shapes still use `r` for a uniform radius. Axis labels are added via SVG text elements, and the visualization adapts to the window size.

Bbrindapotluri

Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, virginica). The visualization uses D3.js v6 with SVG rendering, employing `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for axes and scales. Data loads from a CSV via the `csv` function. The code also references sepal dimensions but does not plot them, and includes a custom marker function to assign colors to each species group.

Ssudhamshu24

Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 within a React-free HTML page, leveraging `d3.csv` for data loading, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for ticks. Circles are rendered via SVG with a fixed radius, and the code also destructures sepal dimensions but only uses them as unused attributes on each circle, not for positioning. The visualization fills the browser window with a large bottom margin.

RRohith arabati

Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, plotting petal length against petal width on the axes while coloring each point by species—setosa in pink, versicolor in blue, and virginica in red. The visualization uses D3 v6 (d3.scaleLinear, d3.extent, d3.axisLeft, d3.axisBottom) to render an SVG with circles whose radii are fixed but also encode sepal length and width via the `rx` and `ry` attributes. Data loads via `d3.csv` from a GitHub gist, and the chart fills the entire browser window.

SSumanya4

Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species. It uses d3.csv to load the data, d3.scaleLinear for the axes, and d3.axisLeft and d3.axisBottom to render the scales. The SVG circles are drawn with d3.selectAll and .join, and the visualization fills the browser window using window.innerWidth and window.innerHeight.

Aanushaanumula

Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x- and y-axes, with circles colored by species (red, yellow, blue). It uses D3 v6’s `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and SVG `circle` elements. Data loads from a remote CSV, and additional sepal dimensions are stored as circle properties but not visualized. Axes labels are added via SVG text, with a fixed radius of 5 pixels per point.

AAnanthulaaditya

Scatter Plot with Iris DataSet

A scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with each point colored by species: red for setosa, blue for versicolor, and green for virginica. The visualization uses D3 v6 with a React framework, rendering SVG circles via `d3.select` and `join`. Axes are generated using `d3.axisLeft` and `d3.axisBottom`, while data is loaded from a CSV URL using `d3.csv` with a custom parse function.

Kkranthireddyskr

Scatter Plot with Iris DataSet

A scatter plot displays the Iris dataset, encoding petal length and petal width as x and y positions while coloring each point by species (setosa, versicolor, virginica) in green, orange, or purple. The visualization uses D3 v6’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to load the data from a GitHub gist, map values to screen coordinates, and render axes within an SVG. Circles are drawn with a fixed radius of 5 pixels, and axis labels are manually positioned via SVG `text` elements.

KKiran3295