Skip to main content
SimilarExport ZIP
100%

D3 Workshop: Part 3 - Conference Data

✓ Published0🌍 Public
MMandyMeindersma
Last edited Nov 12, 2018
Created on Nov 12, 2018

This visualization presents a scatterplot of conference registration data, mapping each attendee by their area code and order ID. The plot uses SVG elements within a 700x300 pixel canvas, built with D3.js v4. The code is forked from ideaOwl’s block and uses `d3.select` to target the SVG element. Each data point represents a paid order, with attributes like school affiliation and year of study, though the current rendering appears static without interactive features or animations.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/ideaOwl/'>ideaOwl</a>'s block: <a href='http://bl.ocks.org/ideaOwl/a55a1409454043bb5b777776d5684e26'>D3 Workshop: Part 3 - Conference Data</a>

mit Licensed

Similar vizzes

Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This visualization presents a scatterplot of conference registration data, mapping each attendee by their area code and order ID. The plot uses SVG elements within a 700x300 pixel canvas, built with D3.js v4. The code is forked from ideaOwl’s block and uses `d3.select` to target the SVG element. Each data point represents a paid order, with attributes like school affiliation and year of study, though the current rendering appears static without interactive features or animations.

MMandyMeindersma
100% match
Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This example visualizes conference registration data, mapping each attendee’s order details, school affiliation, and year of study. It shows a static SVG bar chart or scatterplot-like layout, though the code primarily loads the dataset and prepares it for D3 v4 rendering. The visualization uses D3 v4’s `d3.select` to target the SVG container and binds the array of objects, which include fields like “Area Code” and “Paid at” timestamps. While no axes or scales are defined, the example demonstrates how raw tabular data can be structured for future graphical encoding, with the source data embedded directly in the script.

AAndrewMcKernan
91% match
Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This visualization displays conference registration data, showing individual attendees as circles positioned on an SVG canvas. Each data point includes school affiliation, year of study, area code, and payment timestamp. The code uses D3 v4 to bind the JSON dataset and append circle elements to the SVG, with animations likely triggered through D3 transitions. The example serves as an educational workshop demonstrating basic data binding and SVG rendering techniques with d3.select and d3.append.

DDeveloperJeffb
90% match
Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This example visualizes a workshop’s conference registration data, showing the distribution of attendees by their school affiliation and year of study. The visualization uses D3 v4 to render SVG circles, with each data point representing an individual order. The code leverages `d3.select` to bind the embedded dataset and positions circles based on categorical groupings, while animation via D3’s transition methods highlights the points upon load. The raw data, including order timestamps and area codes, is hardcoded in the script, and the rendering focuses on the static SVG container.

FFordMcLeod
90% match
Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This example visualizes conference registration data, showing the school affiliation and year of study for each order. It uses a simple SVG scatterplot, with one circle per order positioned by its area code. The visualization is built with D3 v4, using `d3.select` to target the SVG and a data array bound to circles. The code demonstrates basic data binding and SVG element creation without scales or axes, serving as a workshop exercise for rendering tabular data.

CChrisChrisLoLo
90% match
Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This example visualizes conference registration data, showing the school affiliation and year of study for each order. It uses a simple SVG scatterplot, with one circle per order positioned by its area code. The visualization is built with D3 v4, using `d3.select` to target the SVG and a data array bound to circles. The code demonstrates basic data binding and SVG element creation without scales or axes, serving as a workshop exercise for rendering tabular data.

CChrisChrisLoLo
90% match
Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This interactive workshop example plots conference registration records as circles on an SVG, with each data point encoding order details such as school affiliation, year of study, and payment timestamp. Built with D3 v4, it uses data binding to append SVG elements and animate their positions. The visualization demonstrates how raw CSV-style data can be mapped into a static scatterplot, with no axes or scales defined, relying on a simple selection and enter-update pattern to display the dataset in a fixed 700x300 viewport.

MMara2020
90% match
Loading thumbnail…

D3 Workshop: Part 3 - Conference Data

This example demonstrates the distribution of conference registration data, showing the affiliation of attendees by school and their year of study. It uses D3 v4 to render a static SVG visualization, with each data point representing an individual order. The code selects the SVG element and binds the array of objects, which contain fields like "School Affiliation" and "Year of Study". It employs D3’s data join to append circles, though the visual encoding beyond that is not implemented in the provided snippet, as the script is incomplete and no scales or axes are defined.

CCirieneve
88% match