Scatter Plot

Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis against sepal length on the y-axis, with points colored by species (setosa, versicolor, and virginica). Built with D3 v6 and rendered as SVG, it uses `d3.csv` to load data, `scaleLinear` and `extent` to set scales, and `axisLeft` and `axisBottom` for axes. Circle marks are appended via `data().join()`, with a custom color mapping function for each species. The plot fills the browser window and includes labeled axes.

KK V VINITHA

Scatter Plot with Iris Data

This scatter plot visualizes the Iris dataset, showing petal length and width on the x- and y-axes, with each point scaled by sepal dimensions and colored by species (setosa in black, versicolor in yellow, virginica in blue). It uses D3 v6 with `d3.csv` to load data, `scaleLinear` for scales, `axisLeft` and `axisBottom` for axes, and SVG circles for rendering. The data is parsed from a GitHub-hosted CSV, and axis labels are positioned with D3’s selection and append methods.

Ssalimjivani

Scatter Plot

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with points colored by species (setosa, versicolor, and virginica). The plot displays 150 data points from the CSV source, loaded via `d3.csv`. The code uses D3 v6 APIs such as `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to build the SVG visualization. Axis labels indicate the measured attributes, while point positions are derived from parsed numeric fields for petal and sepal dimensions.

Tteohangxanh

Scatter Plot

This 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 (setosa, versicolor, or virginica). The visualization uses D3 v7 with the `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `csv` APIs to load and render the data as SVG circles. Axis labels indicate "Petal Length" and "Sepal Length," though the latter appears mislabeled relative to the plotted variables. The chart fills the browser window with margins and styled tick text.

Ffloraho401

Scatter Plot

This scatter plot visualizes the Iris dataset, showing the relationship between sepal and petal measurements. Points are colored by species—setosa in dark red, versicolor in dark blue, and virginica in light green—mapping petal length and width to x and y positions. The code loads data via `d3.csv`, applies scales with `d3.scaleLinear` and `d3.extent`, and renders SVG circles with `d3.select` and `.join`. Axis labels and ticks are added using `d3.axisLeft` and `d3.axisBottom`, with the plot sized to the full window.

Vvarun-030

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

This scatter plot visualizes the Iris Dataset, displaying sepal length on the x-axis and sepal width on the y-axis, with each point colored by species (Iris-setosa, Iris-versicolor, or Iris-virginica). The visualization uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles in an SVG. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and additional petal length and width values determine each circle’s radius properties. The plot fills the browser window, with styled tick labels and axis text.

DDineshK2602

Scatter Plot Using Iris Data

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 (setosa, virginica, or versicolor). The visualization uses D3 v6 APIs including `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, map values to screen coordinates, and render axes. Circles are drawn via SVG with `selectAll` and `join`, while the chart fills the browser window and includes rotated axis labels for clarity.

MManasaPatange