Activity 9&10

Activity 9&10

This interactive scatter plot displays the Iris dataset, cycling through different feature pairs on the x-axis (petal width, sepal width, petal length, and sepal length) every few seconds while the y-axis remains sepal length. Data points are colored by species (setosa, versicolor, virginica) using D3.js to render the SVG visualization, with custom axis labels, a legend, and a title. The code leverages D3's `scaleLinear`, `axisLeft`, and `axisBottom` APIs within a reusable scatter plot module, and uses `setInterval` to animate the changing axes. Data is loaded via D3's `csv` function from a remote GitHub Gist.

96% match

Activity 9&10

This interactive scatter plot animates through different pairings of the Iris dataset’s four measurements, cycling the x-axis between petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Each species appears as a distinct color—sky blue, light green, or orange—with an animated legend and title rendered inside the SVG. The visualization uses d3.csv to load the data, d3.scaleLinear for axes, and d3.axisLeft and d3.axisBottom for scales, with a reusable scatterPlot function driving the transitions via setInterval.

SSumanthnaidu213

95% match

Activity 9&10

This animated scatter plot cycles through different pairwise combinations of the Iris dataset’s four measurements, using petal width, sepal width, petal length, and sepal length as alternating axes. It uses D3’s `csv` loader and `scaleLinear`, `axisLeft`, `axisBottom`, and `select` to render circles colored by species (setosa, versicolor, virginica) with a legend. A `setInterval` timer updates the x-axis mapping, and the SVG output includes styled labels, a title, and explicit legend markers.

95% match

Activity 9&10

This animated scatter plot cycles through different Iris flower measurements, displaying four distinct species separated by color on a dynamically updating x- and y-axis. The visualization uses D3.js version 6.7.0 to load a CSV dataset, scale the axes with `scaleLinear`, and render circles via `.join()`. A `setInterval` timer triggers periodic updates to the x-axis variable, rotating through petal width, sepal width, petal length, and sepal length. The SVG rendering includes custom-styled axes, a color legend, and a title, all animated to show relationships between the flower's attributes.

95% match

Activity 9&10

This interactive visualization cycles through different iris flower measurements on a scatter plot, using the D3.js library. Each species is color-coded, with points transitioning between sepal and petal dimensions at regular intervals. The code from `scatterPlot.js` uses D3 scales, axes, and data joins to render the animated plot, updating the x-axis labels and title accordingly. Data comes from a CSV file containing iris flower measurements, and the animation is driven by `setInterval`.

Activity 9&10

This animated scatter plot cycles through different pairings of Iris flower measurements, showing petal width, sepal width, petal length, and sepal length on the x-axis while sepal length remains on the y-axis. The visualization uses D3.js to load the Iris dataset from a GitHub gist and renders colored circles representing three species (setosa, versicolor, and virginica) with a custom legend. The reusable scatterPlot module employs D3 scales, axes, and data joins to update the plot at regular intervals.

Activity 9&10

Activity-6

This interactive scatterplot animates through the Iris flower dataset, cycling the x-axis among four measurements (petal width, sepal width, petal length, sepal length) while the y-axis shows sepal length. Points are colored by species (setosa in blue, versicolor in green, virginica in orange) with a custom legend. The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `selectAll().join()`, with the plot constructed as a reusable `scatterPlot` function. A `setInterval` timer redraws the axes and updates the x-value mapping, while static labels and a title appear as SVG text elements. Data loads from a remote gist CSV file.

Vvaishnavi6gan@gmail.com