در این آموزش تصویری با مصور سازی داده ها به صورت واکنشگرا با استفاده از فریمورک D3.js آشنا می شوید.
این دوره آموزشی محصول موسسه PacktPub است.

سرفصل های دوره:

  • ایجاد یک نمودار با فرمت SVG
  • ایجاد نمودار D3
  • نحوه اضافه کردن تم ها
  • اضافه کردن برچسب ساده
  • کار با ابزارها و ویژگی ها
  • استفاده از Scales
  • نحوه اضافه کردن محورهای داده ای
  • کار با استراتژی VISUAL
  • طراحی وب واکنش گرا
  • استفاده از رسانه ها
  • نحوه طراحی نمودارها
  • منابع داده خارجی
  • نحوه یکپارچه سازی داده CSV
  • نحوه گرفتن اطلاعات از JSON
  • کار با GeoJSON
  • نحوه فیلتر کردن داده ها
  • نحوه راه اندازی Basemap
  • راهنمای کار با ابزار
  • کار با Bootstrap
  • یکپارچه سازی Pym
  • نحوه تست و اشکال زدایی برنامه
  • و…

عنوان دوره: PacktPub Building Responsive Data Visualizations with D3.js
نویسنده: Merrill Cook


Create stunning D3 data visualizations and render them as part of a responsive design
Harness the power of D3.js to create amazing visualization, from bar charts to choropleth maps
Explore numerous plugins and libraries including Bootstrap and Pym to build responsive pages and visualizations 
Quickly learn the crucial concepts and best practices for responsive web designs
 Who This Video 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
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
As part of the user interface, it is important that data visualizations are context aware and should adjust according to screen size, media type, and other similar aspects. To tackle this, it is essential for web developers to ace at both D3 and responsive design using Bootstrap to make visualizations responsive across different viewing platforms. D3 is currently the go-to data visualization library, offering greater integration with web standards, and better customizability than other data visualization libraries available.
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.
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.
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.
Style and Approach
This video course is a compilation of easy-to-follow videos that are focussed on constructing powerful websites, and making the best of responsive web designs, concentrating on one particular type of data visualization at a time.

Course Overview
Creating a Bar Chart with SVGs
Creating a D3 Bar Chart
Creating a D3 Line Chart
Creating a D3 Scatterplot
Adding Simple Labels
Creating Tooltips for Your Visualization
Utilizing D3 Scales
Adding Axes
Defining Responsive and Mobile-first Design
Using Media Queries and Addressing Breakpoints
Choosing a Visualization Style Based on the Media Type
Matching the Chart Size with the Container Size
Scaling All Visualization Elements Based on Container Size
Integrating CSV Data
Getting Data from JSON
Building a Map with GeoJSON
Using Transitions
Filtering Data
D3 Layouts
Setting Up the Basemap
Adding Tooltips and Legends to Our Map
Drawing Maps According to Screen Size
Throwing in Bootstrap
Integrating Pym into Your Visualization
Recapping What We’ve Covered
What to Read and Whom to Follow

حجم فایل: 359MB