Skip to main content
SimilarExport ZIP
100%

Fork of Reusable D3 Scatter Plot- likitha

✓ Published0🌍 Public
Aaddalalikitha15@gmail.com
Last edited Mar 25, 2026
Created on Mar 25, 2026

This visualization is a reusable D3.js scatter plot showing the relationship between temperature and migration distance for birds, with points colored by region. Built with D3 v7, it uses `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` to map the CSV data to a Cartesian grid. The code defines a configurable `scatterPlot` function that handles axis labels, chart title, and a categorical color legend via `scaleOrdinal` and `schemeCategory10`. The dataset is loaded from a raw GitHub CSV URL, with numeric fields parsed for plotting.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Starter-likitha

This area chart visualizes the relationship between temperature and bird migration distance, using a light blue filled region beneath a monotone curve. The chart is built with D3 v7, loading CSV data from a GitHub gist, aggregating it by temperature via `d3.rollups` and `d3.mean`, and rendering with SVG. Axes are generated using `d3.axisBottom` and `d3.axisLeft`, while `d3.scaleLinear` maps the data to the plot area.

Aaddalalikitha15@gmail.com
84% match
Loading thumbnail…

Fork of D3 Starter-likitha

This line chart visualizes the relationship between temperature and bird migration distance, showing a smoothed monotone curve of average migration distance against temperature. The code loads a sample CSV of bird migration data, aggregates values by temperature using `d3.rollups`, and renders the result with D3 v7’s `d3.line()` and `curveMonotoneX`. The SVG chart includes labeled axes with `d3.axisBottom` and `d3.axisLeft`, plus a title and axis captions, all styled with steelblue strokes against a minimal white background.

Aaddalalikitha15@gmail.com
84% match
Loading thumbnail…

Fork of D3 Starter-likitha

This pie chart visualizes the regional distribution of bird migration records from a sample CSV dataset. The chart uses D3.js v7 to load the data via `d3.csv`, aggregate counts per region, and render SVG arcs with `d3.pie()` and `d3.arc()`. Labels are placed at arc centroids, and a color legend assists interpretation. The visualization employs `d3.scaleOrdinal` with `schemeCategory10` for distinct regional colors.

Aaddalalikitha15@gmail.com
83% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example visualizes a scatter plot of the Iris Dataset, showing the relationship between temperature and humidity for individual data points. The plot uses D3 v3 to generate SVG circles positioned by linear scales, with labeled axes for both variables. The code loads data from a CSV file via `d3.csv`, then maps numeric values to screen coordinates. The scatter plot demonstrates a reusable chart pattern from `scatterPlot.js`, which exposes configurable accessors and dimensions through a closure-based API.

Rreddysushma994@gmail.com
81% match
Loading thumbnail…

Fork of Empty D3 Starter-likitha

A bar chart displays the average migration distance for birds, grouped by region. The visualization uses a sample dataset loaded from a GitHub gist, with the computation of regional averages handled by `d3.rollups` and `d3.mean`. The SVG rendering employs `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the continuous y-axis, with axes generated via `d3.axisBottom` and `d3.axisLeft`. The bars are drawn as SVG rectangles in steel blue, and the chart updates with an animation on data load.

Aaddalalikitha15@gmail.com
79% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example shows an animated scatter plot of temperature data over time, cycling through multiple cities from the Iris Dataset. It visualizes yearly temperature readings (in Kelvin) for each city, with circles colored by city and positioned along the x-axis for year and y-axis for temperature. The visualization uses D3.js v7, loading data via `d3.csv`, parsing dates with `d3.timeParse`, and rendering SVG circles with scales like `d3.scaleLinear` and `d3.scaleOrdinal`. A `setInterval` triggers periodic updates, redrawing the plot for each city every two seconds.

YYashwanth0311
79% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes daily metrics from a CSV file, letting users map any numeric column to the X, Y, and size channels and a categorical column to color. Built with D3 v7, the visualization uses `d3.zoom` for pan-and-zoom with scale extent bounds, `d3.scaleLinear` and `d3.scaleSqrt` for axes and point sizing, and `d3.scaleOrdinal` with the `schemeSet2` palette for coloring. Hovering a point triggers a tooltip with the row’s values, while the axis labels update dynamically based on selected column names. The chart resets to its original view when the user clicks the "Reset Zoom" button.

Mmaddulanagasanjana@gmail.com
79% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This fork of a reusable D3 scatter plot displays tree measurements—leaf width, trunk diameter, leaf length, and height—as colored circles, with species mapped to blue, red, green, or yellow. Built with D3 v6.7.0, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes and SVG circles. Every two seconds, the plot cycles the x-axis variable among the four measurement columns, animating the data points’ positions. The data is loaded from a CSV file via `d3.csv` and parses numeric fields before plotting.

Sshreyasribearelly@gmail.com
78% match