Skip to main content
SimilarExport ZIP
100%

Simple Template Example

✓ Published0🌍 Public
CCBasis
Last edited Jan 10, 2018
Created on Jan 10, 2018

This example demonstrates basic D3.js data binding and SVG rendering using CSV data. The code parses tabular data from CSV files and renders a simple bar chart, illustrating key D3 concepts such as selections, scales, and the enter/update/exit pattern. It also includes an alternative view that renders file-system paths as text with font sizes proportional to their values, and a second interactive example where data is loaded and displayed as a list. The template serves as a minimal introduction to D3 selections and scales for newcomers.

AI-generated description

forked from <a href='http://bl.ocks.org/enjalot/'>enjalot</a>'s block: <a href='http://bl.ocks.org/enjalot/1525346'>Basic CSV Parsing</a>

forked from <a href='http://bl.ocks.org/CBasis/'>CBasis</a>'s block: <a href='http://bl.ocks.org/CBasis/4bae308376367972181dcc21e214f122'>Basic CSV Parsing</a>

forked from <a href='http://bl.ocks.org/CBasis/'>CBasis</a>'s block: <a href='http://bl.ocks.org/CBasis/0c203a1695ccacbea4a9dd5a0e346d7b'>Basic CSV Parsing</a>

mit Licensed

Similar vizzes

Loading thumbnail…

Simple Template Example

This example demonstrates an interactive bar chart built with D3.js that visualizes CSV data. The chart is rendered as an SVG and includes three buttons—"Prices," "Transmission Limits," and "List"—that allow users to load different datasets (prices, transmission, or list data) and redraw the bars. The visualization highlights D3's data join pattern: entering rectangles are added in dark red, updates are colored green, and exiting elements are removed, illustrating the enter-update-exit selection model. The bar heights are scaled linearly to the maximum value in the dataset, and the chart is displayed within a bordered SVG container. The example serves as a teaching tool for D3 selections, scales, and basic bar chart construction.

CCBasis
89% match
Loading thumbnail…

Simple Template Example

This example demonstrates a simple bar chart built with D3 v4, where bar heights are scaled linearly from CSV data loaded via `d3.csv`. The visualization includes three separate CSV datasets (prices, transmission, and list) that can be loaded by clicking buttons, and the bars are rendered as SVG rectangles using D3 selections. The bar chart also implements enter, update, and exit selections to handle data changes dynamically.

CCBasis
88% match
Loading thumbnail…

Simple Template Example

Two buttons load different CSV datasets—monthly electricity prices or transmission limits—into the same bar chart. The bars render as SVG rectangles using d3.scale.linear and d3.scale.ordinal, with d3.csv parsing the files and d3.select handling button clicks. Bars update in place, with newly entered bars colored red and existing bars recolored green.

GGerHobbelt
80% match
Loading thumbnail…

Making a Bar Chart

This example demonstrates the initial step of building a bar chart with D3, where the page loads a CSV file and logs its contents to the browser console. The SVG element remains empty, as the code only fetches and parses the data using `d3.csv` and selects the SVG with `d3.select`. The visualization shows no chart yet, serving as a foundation for subsequent data-binding and shape-rendering code. It uses D3 v5 and renders via SVG, with the data source specified as `data.csv`.

TTMorgan99
80% match
Loading thumbnail…

Fork of Vanilla D3 Vibecoding Template

This example presents a data-summary dashboard that loads a CSV file with d3.csv, displays basic row and column counts, and previews the first five rows in an HTML table. It also renders a simple bar chart of categorical counts as SVG. The code uses D3 v7 selection methods and d3.csv for asynchronous data loading, with data sourced from a public GitHub gist.

RRithvik
80% match
Loading thumbnail…

HTML Starter

This example presents a minimal HTML page that loads a CSV data file and logs its contents to the browser console using d3.csv. The page consists of a simple SVG element selected via d3.select, although the code does not render any visualization. It demonstrates a basic setup for fetching and parsing tabular data with D3.js, showing the initial steps of an interactive charting workflow.

BbarryLinx
80% match
Loading thumbnail…

Working with csv and svg with D3

This example demonstrates how to load and parse a CSV dataset and render it as an SVG visualization using D3 v7. The chart uses D3's `d3.csv` to fetch data and `d3.svg`-style path generation to draw a line or area chart. The visualization maps data attributes to spatial coordinates, with axes and scales constructed via d3-scale and d3-axis. The SVG output is generated dynamically, with paths, circles, and labels styled through D3's data-join. The result highlights the workflow of binding external tabular data to scalable vector graphics elements, showing the transition from raw CSV to an interactive, data-driven SVG visualization. The example emphasizes the utility of D3's modular approach for manipulating documents based on data, while maintaining the flexibility of SVG for custom styling and interaction. The graphic is minimal in decoration, focusing on clarity of data encoding, axes, and gridlines, with hover interactions for detailed data inspection. The code is available under an MIT license, making it suitable for reuse and learning.**Working with CSV and SVG with D3** This example demonstrates how to load data from a CSV file and bind it to SVG elements using D3.js v7. The visualization shows a chart built with SVG, where data from an external CSV source is processed and mapped to visual elements. The code highlights the seamless integration of D3's data-joining capabilities with SVG's declarative drawing model, making it a clear reference for creating data-driven graphics from tabular data. Rendered entirely in SVG, this example is a practical starting point for building custom charts and plots with D3.

Yynagurvali786@gmail.com
79% match
Loading thumbnail…

D3 charte test

This example displays a blank red SVG canvas and loads a small CSV dataset containing titles and numeric values. The page establishes an SVG element with fixed dimensions and applies a background color via the `style` attribute. Using D3 v5, the code selects the SVG element with `d3.select`, reads the CSV file with `d3.csv`, and logs the parsed data to the browser console. The visualization itself does not render any marks or charts; it only demonstrates the initial setup for data loading and SVG manipulation.

RRicardFabien
79% match