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This scatter plot displays the relationship between age and sleep duration, showing sleep duration on the x-axis and age on the y-axis. It uses d3.csv to load data from a remote GitHub gist, d3.scaleLinear for x and y scales, and d3.axisLeft and d3.axisBottom to render axes. The visualization is built with d3 v6, rendering circles to an SVG, with the chart size that adapts to the window dimensions.

92% match

Fork of Fork of Fork of Reusable D3 Scatter Plot

This scatter plot shows the relationship between sleep duration and age, with age on the y-axis and sleep duration on the x-axis, using data from a CSV file fetched from a GitHub gist. The visualization is built with D3 v6, rendering circles as SVG elements within a full-window canvas. The code implements a reusable scatter plot function with configurable width, height, margins, and radius, and uses D3's scaleLinear for axis scaling and axisLeft/axisBottom for the axes. Axis labels are added as text elements via SVG.

Fork of Fork of Fork of Reusable D3 Scatter Plot

This scatter plot shows the relationship between sleep duration and age, with each point representing an individual’s reported hours of sleep plotted against their age. The visualization uses a reusable `scatterPlot` function built with D3 v6, which configures linear scales for both axes, draws circles with a fixed radius, and appends axis labels. Data is loaded asynchronously via `d3.csv` from a remote gist URL, with numeric parsing applied to the `Sleep Duration` and `Age` fields. The SVG fills the entire browser window, and the chart is rendered using standard D3 selections and joins.

scatterplot

This scatter plot visualizes the relationship between sleep duration in hours and age in years, with each blue circle representing an individual data point. The chart plots sleep duration along the x-axis and age along the y-axis using d3.scaleLinear for both scales, rendering circles as SVG elements through d3.selectAll and data binding. Axes are generated with d3.axisBottom and d3.axisLeft, while data is loaded asynchronously from a CSV file via d3.csv from a GitHub gist.

VVignesh Nallamothu

Fork of Fork of Fork of Reusable D3 Scatter Plot

This reusable scatter plot visualizes the relationship between sleep duration and age from a CSV dataset loaded via `d3.csv`. It renders blue circles positioned with `d3.scaleLinear` scales and adds axes using `d3.axisBottom` and `d3.axisLeft`. Built with D3 v6, the SVG chart computes domain padding by subtracting and adding one to the data extents.

Fork of Fork of Reusable D3 Scatter Plot

This scatter plot visualizes the relationship between sleep duration and age, using data loaded from a CSV file. The code defines a reusable `scatterPlot` function with configurable properties for width, height, data, accessors, margin, and radius. It renders circles via D3’s data join and uses `d3.axisLeft` and `d3.axisBottom` for axes, with linear scales mapping sleep hours (0–11) and age (10–30). The SVG output fills the browser window.

VVignesh Nallamothu

90% match

Fork of Fork of Fork of Reusable D3 Scatter Plot

This scatter plot shows the relationship between an individual's sleep duration in hours and their age in years, with each data point represented as a steelblue circle. The visualization is built using D3 v6, where the code fetches a text dataset from a GitHub gist, parses the CSV-formatted data, and scales the values linearly for both axes. Axes are rendered using `d3.axisBottom` and `d3.axisLeft`, with explicit margins defining the plotting area, and the plot is rendered as an SVG element within the HTML page.

90% match

Fork of Fork of Fork of Reusable D3 Scatter Plot

This example shows a scatter plot of sleep duration against age, with each circle representing a person’s data point. The visualization uses D3.js v6 to load a CSV dataset, apply linear scales, and render axes with labels. Circles are drawn with an SVG selection join, while the chart is built as a reusable function with configurable properties for width, height, data, margins, and radius. The plot is sized to fill the browser window and updates its dimensions accordingly.