FEM: Exercise 1 starter

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FEM: Exercise 1 starter

✓ Published0🌍 Public

Last edited May 31, 2017

Created on May 31, 2017

This example visualizes daily temperature readings for three U.S. cities—New York, San Francisco, and Austin—over a three-month period using a multi-line chart rendered with D3 v4 in SVG. The chart plots date on the x-axis and temperature in degrees Fahrenheit on the y-axis, with each city’s data encoded as a separate colored line. The data is loaded from a tab-separated file, and the visualization includes axes, labels, and a legend to distinguish the three locations. The starter template provides a foundation for exploring time-series trends and seasonal patterns across the cities.

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FEM: Exercise 1 starter

This example visualizes daily temperature data for three U.S. cities—New York, San Francisco, and Austin—as a multi-line chart over a date range from October 2011 to January 2012. Built with D3 v4 and rendered as SVG, the chart uses color-coded lines to compare temperature trends across the three cities, with a date-based x-axis and a temperature y-axis. The dataset, loaded from a TSV file, contains 100 days of observations for each city. The visualization serves as a starter template for a finite element method (FEM) exercise, providing a clean, minimal foundation for further interaction or analysis.

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This example shows daily temperature readings for three cities (New York, San Francisco, and Austin) across several months, plotted as three multi-series line charts. The visualization displays each city's temperature trend over time on a shared time axis and temperature scale, with color distinguishing the cities. It uses D3 v4’s `d3.tsv` to load tab-separated data, `d3.line` with `d3.curveBasis` for smooth curves, and renders the result as SVG. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, while `d3.scaleTime`, `d3.scaleLinear`, and `d3.scaleOrdinal` map dates, temperatures, and city names respectively.

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This example shows a multi-series line chart comparing daily average temperatures across three US cities—New York, San Francisco, and Austin—over a three-month period from October 2011 through January 2012. The data is loaded from a tab-separated values file using d3.tsv. Each city is encoded as a separate colored line, with the date on the x-axis and temperature in degrees Fahrenheit on the y-axis. The visualization uses d3 v4 with SVG rendering to draw axes, gridlines, and a legend, making seasonal trends and city-to-city differences readily apparent.

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This visualization displays daily average temperatures for New York, San Francisco, and Austin from October 2011 through April 2012. Three separate lines, each representing a city, are drawn over time on a common set of axes, allowing for direct comparison of temperature trends and seasonal variations across the locations. The graphic is rendered as an SVG using the D3.js v4 library, employing `d3.line` and `d3.curveBasis` to create smooth paths. The code loads tab-separated data via `d3.tsv`, parses the date column with `d3.timeParse`, and maps the categorical city names to colors using `d3.scaleOrdinal` with the `d3.schemeCategory10` palette.

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