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| <!DOCTYPE html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <script src="https://d3js.org/d3.v3.js"></script> | |
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| </style> | |
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| <div class="first">Box 1</div> | |
| <div class="second">Box 2</div> |
View modules.json
| { | |
| "d3-array": { | |
| "dependencies": [], | |
| "description": "Array manipulation, ordering, searching, summarizing, etc.", | |
| "exported": ["version", "bisect", "bisectRight", "bisectLeft", "ascending", "bisector", "descending", "deviation", "extent", "histogram", "thresholdFreedmanDiaconis", "thresholdScott", "thresholdSturges", "max", "mean", "median", "merge", "min", "pairs", "permute", "quantile", "range", "scan", "shuffle", "sum", "ticks", "tickStep", "transpose", "variance", "zip"] | |
| }, | |
| "d3-axis": { | |
| "dependencies": ["d3-scale", "d3-selection", "d3-transition"], | |
| "description": "Displays automatic reference lines for scales.", | |
| "exported": ["version", "axisTop", "axisRight", "axisBottom", "axisLeft"] |
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| svg{ | |
| /*border: 1px solid silver;*/ | |
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| <div class="map-container"></div> |
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| <head lang="en"> | |
| <meta charset="UTF-8"> | |
| <title>Datavis Pipeline</title> | |
| </head> | |
| <a> | |
| <h1>An implementation of the visualization pipeline</h1> | |
| <h2>D3.js Charts Library</h2> |
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| <style> | |
| svg{ | |
| /*border: 1px solid silver;*/ | |
| } | |
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| <body> | |
| <div class="map-container"></div> |
View index.html
| <!DOCTYPE html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <script src="https://d3js.org/d3.v3.min.js"></script> | |
| <style> | |
| svg { | |
| border: 1px solid silver; | |
| } | |
View README.md
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View README.md
Development version of Piper.js showing how to build multiple charts sharing modules.
View README.md
Foundations of D3: Manual Scaling
A 1-dimensional random walk visualized. To better understand what scales are doing, avoids using D3's build in scales and instead manually computes a step size as well as a starting position from which to walk.
- You should use blockbuilder.org and the following Javascript and
d3functions to adjust thenum_stepsandradiusto see how the path changes - Once you have a feel for the parameters, make a line chart instead. For extra credit gradient encode the random walk path.
Reference
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