Fork of Animated Reusable D3 Scatter Plot prueba

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through the numeric columns of the Iris dataset, updating the x-axis and its title every three seconds while keeping the y-axis fixed on petal width. The visualization uses D3 v6 with a reusable scatter plot component that leverages `scaleLinear`, `axisBottom`, `axisLeft`, and `transition` to smoothly animate point positions and axis labels. Rendering is done via SVG, and the data is loaded from a CSV file hosted on GitHub.

CCurran Kelleher

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through the numeric columns of the Iris dataset, plotting each feature against the last one. The visualization uses D3.js’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `transition` animates the circles as the x-axis changes every three seconds. The code also implements reusable chart components with getter and setter methods, and includes axis titles that animate in and out.

SShreeti Upreti

Fork of Animated Reusable D3 Scatter Plot

SShreeti Upreti

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through the numeric columns of the classic Iris dataset, changing the x-axis variable every three seconds while keeping sepal width on the y-axis. Using D3 v6, it leverages `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` to render axes, and D3's `transition` with a one-second duration to animate both the movement of circles and the fading of axis titles. The visualization is drawn as an SVG, with the data fetched as CSV from a GitHub gist, and updates a reusable chart component via D3's join operation for enter, update, and exit states.

Sshaun

Fork of Animated Reusable D3 Scatter Plot

This example demonstrates a reusable D3 scatter plot that cycles through different attributes of the Iris dataset every three seconds, transitioning the positions of circles and axes with smooth animations. Using the `d3.selection.join` pattern, the chart binds data to circle elements, animating their coordinates via `transition` and staggered delays, while axes update through `axisLeft` and `axisBottom`. The visualization renders in SVG, loads data from a remote CSV file, and relies on the D3 v6 library for scaling with `scaleLinear` and extent calculations.

FFerronHooi

Fork of Animated Reusable D3 Scatter Plot

This example presents the Iris dataset as an animated scatter plot that cycles through different feature combinations on the x-axis every two seconds. Built with D3 v6, it uses `scatterPlot` to define a reusable chart component, `scaleLinear` for axes, and `transition` for smooth animations. Circles grow on entry and reposition with staggered delays when data mappings change. The SVG output is styled with the Share Tech font, rendering axes via `axisLeft` and `axisBottom`.

RRenato Hermoza Aragonés

Fork of Reusable D3 Scatter Plot

This example animates through scatter plots of the Iris dataset, cycling between four measured variables on the x-axis every two seconds. A reusable chart function built with D3 v6 encodes data points as SVG circles, with axes generated by `axisLeft` and `axisBottom`. The code fetches the dataset via `csv` and updates the x-scale through a `setInterval` loop, demonstrating a modular chart pattern.

NNiharika-Guthikonda

Animated Reusable D3 Scatterplot

This example demonstrates an animated scatterplot of the Iris dataset, cycling through different x-axis variables every three seconds. It shows how a reusable D3 chart function can update its scales, axes, and data bindings dynamically. The code imports specific D3 modules like `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `transition`. Circle positions and axis titles animate smoothly using D3 transitions, while a `setInterval` loop triggers calls to the scatter plot function with different column mappings, creating a looping exploration of the dataset’s features.

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