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Zzjulijie0618
Last edited Jan 23, 2022
Created on Jan 23, 2022
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This is a dark-themed, responsive histogram built with D3.js (v7) that visualizes the distribution of a single numeric variable. The chart displays the frequency of prices from the OneNum dataset, fetched via `d3.csv`, with bars rendered using SVG `rect` elements. It uses `d3.histogram()` to compute bins and `d3.scaleLinear` for x and y axes. The visualization adapts to window resizing through a debounced event listener, re-rendering the histogram with updated dimensions.

AI-generated description

Histogram

Definition

A histogram is an accurate graphical representation of the distribution of a numeric variable. It takes as input numeric variables only. The variable is cut into several bins, and the number of observation per bin is represented by the height of the bar.

What For

Histogram are used to study the distribution of one or a few variables. Checking the distribution of your variables one by one is probably the first task you should do when you get a new dataset. It delivers a good quantity of information.

Steps:

  1. A histogram displays the distribution of a numeric variable. So you basically need only one column in your input file.
  2. This numeric variable is provided to the d3.histogram() function that will compute the binning and returns the coordinates of each bar.
  3. These bars can thus be drawn using a classic .append("rect") approach.
MIT Licensed

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Fork of Histogram

This interactive histogram visualizes the distribution of price data from a CSV file hosted on GitHub. The chart is rendered as SVG and automatically resizes with the browser window. The code uses `d3.histogram()` to bin the numeric values, `d3.scaleLinear()` for the x and y axes, and `d3.csv()` to load the dataset. Bars are drawn with SVG `rect` elements, colored steelblue, with a debounced resize handler that rebuilds the visualization on window changes.

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