PACKT_BUILDING_RESPONSIVE_DATA_VISUALIZATIONS_WITH_D3_JS-TUTORIAL-kEISO
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- kEISO
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- Date
- 2015-09-20
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BUILDING RESPONSIVE DATA ▀██▓▓▄ ░████▌ ▄ ▒▓
VISUALIZATIONS WITH D3.JS ▀███▓░ ▐████ ▒▒
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RELEASED EXCLUSIVLY ░ ▄█▓▓▀ ▄█▀▓▓██▀ ░░
FOR SCENE USAGE ON ▒░ ▄███▀▒▀ ■░░ ▄█▀▒▒██▀ ░░ ░░
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[PUBLISHER] PACKT ██
[RUNTIME ] 02H 08M [LINK] http://is.gd/Mamf8P ██
[LEVEL ] INTERMEDIATE [TYPE] RETAIL ██
[ISO SIZE ] 422.037.504 B [CHKS] 968B9924 ██
[ON STORE ] 2015.05.01 [$$$$] 200000000000 DOLLAR ██
[DISKNAME ] keiso_rbrdvwd3js ██
[HELD BY ] MERRILL COOK ██
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This video course starts out by describing ways in which ██
D3.js fits into existing web standards to provide data ██
visualization solutions that can be easily integrated. ██
After working through the basic flow of simple ██
visualizations, we'll start adding features: tooltips, ██
axes, and scales. We'll take a look at interactivity and ██
transitions. Then we'll walk through the use of external ██
data sources, including CSV, TSV, JSON, and GeoJSON, which ██
will prepare us for more in-depth visualizations. ██
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Further on we'll tackle responsive design, covering all the ██
basic concepts, and then work our way through a site mockup ██
the old fashioned way, looking for breakpoints and using ██
media queries to provide smooth screen size transitions. ██
Our work with responsive design will then be applied to a ██
number of our early data visualizations. ██
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We'll resume our focus on responsive design later in the ██
course when we'll cover using Bootstrap and Pym.js, a ██
JavaScript library that enables the embedding of responsive ██
iFrames. The data visualizations we'll tackle in the final ██
sections of the course will include mapping with Topo and ██
GeoJSON. ██
██
By the end of this course, you will have an armoury full of ██
tools to create feature-rich data visualizations with D3.js ██
that are responsive on different platforms. ██
██
Who this course is for ██
██
This video course is aimed at front end developers or ██
anyone with a strong grasp of HTML, CSS, and JavaScript. ██
This course is also aimed at those who have tried learning ██
D3 on their own, but would like more in-depth and ██
step-by-step tutorials to master the art of visualization ██
and responsive web design. ██
██
What you will learn from this course ██
██
Learn the basic structure of data binding in D3.js ██
Construct a number of D3 visualizations, including bar ██
chart, line chart, scatter plot, pie chart, tree chart, and ██
maps ██
Master D3 visualization features such as tooltips, axes, ██
and scales ██
Understand the importance of interactivity, and ██
transitioning between two states of a visualization for ██
enhanced, responsive experience ██
Find, prepare, load, and use external data sources such as ██
CSV, TSV, JSON, and Geo Data ██
Explore the world of responsive design using data ██
visualization libraries, such as Bootstrap and Pym, to ██
enhance your web designing skills ██
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Files
| Path | Size |
|---|
| keiso_rbrdvwd3js.nfo | 15,16 KB |
| keiso_rbrdvwd3js.r00 | 47,68 MB |
| keiso_rbrdvwd3js.r01 | 47,68 MB |
| keiso_rbrdvwd3js.r02 | 47,68 MB |
| keiso_rbrdvwd3js.r03 | 47,68 MB |
| keiso_rbrdvwd3js.r04 | 47,68 MB |
| keiso_rbrdvwd3js.r05 | 47,68 MB |
| keiso_rbrdvwd3js.r06 | 15,09 MB |
| keiso_rbrdvwd3js.rar | 47,68 MB |
| keiso_rbrdvwd3js.sfv | 248 B |