Head to Head Competition

100%

Head to Head Competition

✓ Published0🌍 Public

Last edited Nov 19, 2015

Created on Nov 19, 2015

This visualization presents a bar chart comparing Electronic Medical Records (EMR) software products across multiple metrics, including customer counts, users, and social media presence. The chart highlights five leading products—eClinicalWorks, McKesson, CureMD, Practice Fusion, and Allscripts—by emphasizing their bars in the display. Built with the D3.js and Raphael libraries, the chart uses a grouped bar layout to show values for each metric, with the data parsed from a CSV file. Hover interactions and a legend support side-by-side comparison of the competitors.

AI-generated description

Similar vizzes

Loading thumbnail…

Electronic Sales data

An interactive horizontal bar chart displays electronic product sales percentages for Television, Home Theater, and Cell Phone. Hovering over a bar highlights it, shows a dashed threshold line, and reveals percentage divergence values for other items. Built with React and D3 v5, the visualization uses SVG rendering with d3.scaleBand, d3.scaleLinear, and transition animations for interactive feedback, featuring a dark blue themed layout with grid lines.

SSaiSree0122

60% match

Loading thumbnail…

Cleaning Up

This horizontal bar chart ranks wearable devices by their “Benefits” score, with each device’s name on the y-axis and a numerical scale on the x-axis. The bars are sorted in descending order, highlighting market leaders in green against a white background. Built with D3 v3 and React, the visualization uses SVG rectangles, with the Benefits column from the provided CSV mapped to bar width. Hovering over a bar changes its fill to pink, and the axis labels use a minimal, sans-serif style for clarity. The chart is designed to answer the question, “Which solutions are leading in terms of ‘Benefits’?”

BBenHeubl

60% match

Loading thumbnail…

Medicine Inventory Chart

This example shows the quantity of five medicines in a bar chart, with yellow bars representing each inventory level and value labels placed above them. The implementation uses D3 v6 to build the SVG visualization, employing d3.scaleBand for the categorical x-axis, d3.scaleLinear for the y-axis, and d3.axisBottom and d3.axisLeft to render the chart axes. Static data is hardcoded in the HTML, and the chart includes rotated x-axis labels for readability. The code demonstrates core D3 data-joining patterns with selectAll, enter, and append to create the bars.

UUVarshaReddy

59% match

Loading thumbnail…

Final Project

This dashboard displays median, minimum, and maximum healthcare covered charges per U.S. state, sourced from CMS data. It combines an interactive bar chart, a linked pie chart, and a choropleth map using SVG. D3.js handles hover interactions, updating the pie chart when hovering over bars, and a color gradient on the map encodes state medians. The interface is built with Vue and rendered with animated SVG elements.

KKirkHunter

57% match

Loading thumbnail…

A classic comparison

This example demonstrates a four-panel comparison of market data, using the IEX API as its data source. Each quadrant of the visualization applies a different classic chart type to the same dataset—a bar chart, pie chart, treemap, and circle packing—all driven by D3.js v3 and rendered in SVG. A dropdown menu lets you switch the metric being compared (volume, market percent, tapeA/B/C), and all four views update simultaneously to reflect the selected value. The design uses a categorical color palette and crisp, minimal styling, with tooltips provided by d3-tip. The layout places the four charts symmetrically around a central point, creating a clean, dashboard-like comparison.

663anp3ca

57% match

Loading thumbnail…

Final_Project_Interactive_Bar_Chart

This interactive bar chart displays the prevalence of various health-related measures across demographic and temporal categories. Users can switch between different data groupings—such as year, sex, race, employment, and medical history—using on-screen buttons. The visualization is built with D3 v7 and renders as an SVG, updating bars and axes through a general update pattern that removes and recreates the chart. Data values are mapped on a linear scale from 0 to 1, showing proportions for each selected category.

YYYYZZZ

57% match

Loading thumbnail…

Breast Cancer Data Bar Chart

This bar chart visualizes breast cancer data, comparing two numeric attributes—perimeter_mean on the x-axis and radius_mean on the y-axis—across individual records. The chart uses D3 v7 to fetch a CSV dataset from a GitHub repository, then renders horizontal bars via SVG rectangles. Scales are created with d3.scaleBand for the categorical x-axis and d3.scaleLinear for the y-axis, while d3.axisBottom and d3.axisLeft generate the corresponding tick marks and labels. The code includes React components for reusable axes and marks, though the primary implementation in index.html directly manipulates the SVG.

HHemanthh81

57% match

Loading thumbnail…

D3 Example

A horizontal bar chart compares the operations-per-second benchmark results of 10 JavaScript event-emitting libraries, sorted from fastest to slowest. Rendered as static SVG, the visualization uses D3.js (version 3.5.5) for scales, axes, and data binding, and d3-tip for tooltips that display exact values. The data comes from a CSV file. The x-axis uses SI-prefix formatting (replacing G with B), and the visualization is implemented via `d3.scale.linear`, `d3.scale.ordinal`, and `d3.svg.axis`.

CCurran Kelleher

57% match