Skip to main content
100%

D3.js Frontend Masters - Intro Histogram

✓ Published0🌍 Public
Aanosikeosifo
Last edited Sep 9, 2017
Created on Sep 9, 2017

This histogram example visualizes six fixed data values as vertical bars, with each bar’s height proportional to its numeric value and colored teal with white strokes. The chart includes a y-axis with ten ticks, where tick labels are colored red or green depending on whether the value exceeds 200. Built with D3 v4, it uses `d3.scaleLinear` and `d3.axisLeft` to construct the axis, while `d3.select` and data joins append SVG rectangles for the bars. Hovering over a bar changes its fill to orange via CSS.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

Histogram Using D3

This example shows a histogram of numeric price data loaded from a CSV file, rendered as an SVG bar chart using D3 v4. It uses `d3.histogram()` to bin the values into 70 thresholds, `d3.scaleLinear()` for both the x- and y-axes, and `d3.axisBottom()` and `d3.axisLeft()` to draw the axes. Each bin is drawn as a rectangle whose width and height are derived from the bin’s x0/x1 domain and the count of records in that bin. The data comes from a remote GitHub-hosted CSV, and bars are styled with a fixed fill color.

Eethanrampersaud@gmail.com
80% match
Loading thumbnail…

Gist 6568151

A histogram displays a randomly generated Irwin–Hall distribution of 50 values, showing the count of scores binned into twenty uniform intervals. The chart uses D3’s histogram layout and linear scales to position bars, with axis ticks placed between bars to clarify bin boundaries. Bar counts are labeled above each rectangle, and mouseover events log the original data objects and associated names filtered from the source array. Rendered as SVG using d3.v2, the example demonstrates binning and interactive data binding.

11wheel
79% match
Loading thumbnail…

Histogram

This histogram visualizes the distribution of a numeric variable, grouping observed values into discrete bins and displaying their frequencies as vertical bars. It uses the D3.js library, specifically leveraging `d3.histogram` and `d3.scale` APIs to compute bin ranges and map data to screen coordinates. The rendering relies on SVG paths generated from the binned counts, with axes and labels drawn via D3’s measurement and tick utilities. The dataset originates from a GitHub gist, and the code operates entirely in the browser without external data files.

Mmbostock
79% match
Loading thumbnail…

Lab2-Task2

This example displays a histogram of 20 fixed numeric values using SVG rectangles, with each bar’s height and color encoding the data magnitude. A linear color scale maps the minimum value to dark blue and the maximum to light blue. D3.js v4 selects the SVG, binds the array via `data()`, and appends `rect` elements for bars plus `text` elements showing each value in white. The rendering uses static JavaScript data, not an external dataset.

XXuân Vinh
79% match
Loading thumbnail…

Histogram

This histogram visualizes the distribution of a dataset using interactive bars, rendered with React and D3. It shows the frequency of data points across numeric bins, with hover effects highlighting individual bars. The code uses `d3.histogram` to compute bin ranges and `d3.scaleLinear` for positioning, while SVG paths are generated via `d3.area` for the bar shapes. The chart dynamically updates based on user-selected bin counts, demonstrating a reusable React component pattern. The underlying data is random-generated, and the styling relies on plain CSS defined in the linked stylesheet.

RRiya Mathur
78% match
Loading thumbnail…

Untitled

This example visualizes the distribution of a single numeric variable using a histogram with 70 bins. The code loads data from a CSV file, applies d3.histogram to compute bin counts, and renders bars with d3.scaleLinear axes. Bars below a threshold of 140 are colored orange, while others are teal, with a dashed line and label marking the split. The visualization is built with d3.v4, rendered as SVG within a React framework, and uses d3.axisBottom and d3.axisLeft for the axes.

Aansnejib2468
78% match
Loading thumbnail…

51. D3 Bar Chart

This is a simple D3.js bar chart that visualizes a numeric dataset of 20 values, displaying each value as a rectangle scaled in height and colored in varying shades of blue. The chart uses an SVG element sized 500 by 100 pixels, with rectangles positioned horizontally and vertically scaled by a factor of four. Each bar is labeled with its corresponding number, rendered in white text. The example demonstrates basic D3 v4.5.0 APIs including `d3.select`, `svg.selectAll`, `.data()`, `.enter()`, and `.attr()`, with a static dataset defined as an array of integers.

Aamakanju@nyit.edu
78% match
Loading thumbnail…

Histogram D3

This histogram displays the distribution of average daily temperatures recorded throughout 2016, with bars colored green that turn red on hover. Built with D3 v6, the visualization loads CSV data via `d3.csv`, computes bin counts using `d3.histogram()`, and scales the axes with `d3.scaleLinear()`. The SVG rendering includes axis generators (`d3.axisBottom` and `d3.axisLeft`), interactive tooltips via appended `title` elements, and explicit margins for layout. The code demonstrates a straightforward binning workflow from raw weather data to a readable chart.

AAllen Ho
78% match