D3 Examples - Loading CSV Data

100%

D3 Examples - Loading CSV Data

✓ Published0🌍 Public

Last edited Apr 5, 2015

Created on Apr 5, 2015

This example displays a horizontal bar chart of provincial grant funding for Ontario colleges in 2013, sorted in descending order by total funding per institution. It uses D3.js v3 to load the CSV data with `d3.csv`, bind it to SVG rectangles, and encode each college’s total as a bar width. Tooltips with the college name and funding amount appear on hover via appended `title` elements. The visualization uses SVG rendering with a fixed size and simple linear scaling for bar lengths.

AI-generated description

Similar vizzes

Loading thumbnail…

D3 Examples - Loading CSV Data

A horizontal bar chart displays total provincial grant funding for Ontario colleges in 2013, with bars sorted in descending order from largest to smallest total. The chart uses D3 v3 with SVG rendering, loading the data from a CSV file via `d3.csv`. Axes are created with `d3.svg.axis`, and a linear scale maps funding values to bar widths while an ordinal scale positions colleges along the y-axis. Hovering over a bar reveals a tooltip with the exact dollar amount via an appended SVG `title` element.

LLucaBrassi

98% match

Loading thumbnail…

D3 Examples - Loading CSV Data

This example demonstrates how to load and inspect tabular data from a CSV file using D3.js version 3. The page includes a static SVG circle and uses `d3.csv` to asynchronously fetch the grants dataset, which contains funding amounts for various Ontario colleges across numerous grant categories. After parsing, the file’s contents are passed to a callback function and logged to the browser console. The visualization itself remains minimal, focusing on the data-loading API rather than rendering the loaded values.

LLucaBrassi

90% match

Loading thumbnail…

Ontario College Operating Grants 2012-13

This visualization shows the distribution of Ontario college operating grants across 37 funding categories for the 2012-13 fiscal year, with each college’s total and individual line items displayed. It uses a bar chart layout, likely rendered with D3.js, to compare funding amounts per institution, encoding values through bar height and color. The data comes from a CSV file containing 37 named funding columns (e.g., Base Funding, Growth Funding) and totals for each college, parsed directly from the tabular source. The code references `d3.forceSimulation` for layout adjustments and uses SVG scaling to handle the wide range of values.

LLucaBrassi

80% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of provincial amounts from a CSV file, with each bar’s length proportional to its value. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to position bars and axes. Data is loaded via `d3.csv`, converted to numbers, and rendered as SVG rectangles with a steelblue fill, using margins to offset the plotting area.

YYIN Wanxuan

78% match

Loading thumbnail…

Creating SVG Elements from Data

This example visualizes grant application data for events in the Province of Groningen from 2011 to 2014, using four horizontal bar charts to show totals, approved, rejected, and approval percentage. It reads from a CSV file via `d3.csv` and creates SVG rectangles with `append("rect")`, scaling bar widths by data values and displaying tooltips with `append("title")`. The code uses D3 v3 to bind data, position elements with `.attr()`, and apply a dark blue fill, with each chart column separated by fixed widths and labeled via text elements.

FFrieseWoudloper

77% match

Loading thumbnail…

reading csv v4

This example visualizes a bar chart of student grades from a CSV file, with each bar’s width proportional to the numeric value in the Grade column. The code uses d3.csv to load votiOne.csv, then appends SVG rectangles to a 500×500 canvas, positioning them vertically with each row’s index and setting the bar width directly from the parsed data. Written with D3 v4, it renders entirely as SVG elements, showing the raw mapping from tabular data to geometric marks without axes, scales, or additional styling.

EEE2dev

75% match

Loading thumbnail…

Loading and Parsing CSV Data with D3.js

This example demonstrates how to load and parse an external CSV file using D3.js, rendering the resulting data as an interactive bar chart. The visualization uses `d3.csv()` to fetch the dataset and `d3.rollup()` to aggregate values by category. Each bar is drawn as an SVG rect, with its height and position calculated using D3's linear scale for the y-axis and band scale for the x-axis. The chart includes axes with tick labels, and a hover effect highlights individual bars while displaying the corresponding data value in a tooltip. The design uses a clean white background with colored bars, making the data easy to compare at a glance. This example demonstrates D3's data loading, parsing, and binding workflow.

AArun

75% match

Loading thumbnail…

D3 Bar chart

This example displays a bar chart of confirmed COVID-19 cases per province, using a vertical bar for each region ordered along the x-axis. A D3 v4 script loads data from a CSV file and maps the province names and confirmed counts to a band scale and a linear scale, respectively. The bars are rendered as SVG rectangles, with axes added via `d3.axisBottom` and `d3.axisLeft`, within a fixed 600×600 pixel SVG canvas.

Vvine-web

74% match