D3 helps you bring data to life using HTML, SVG and CSS.
Basically Using D3.Js we can easily visualize the data's.
There are many library for viualize the data as graphs.But the beauty of d3.js is SVG (Scalable Vector Graphics) based.We can easily create and show any type of visualizing not only like line chart,bubble chart,area chart etc.Also,We can create based on our choice.
What is SVG mean?
SVG stands for Scalable Vector Graphics. SVG is used to define vector-based graphics for the Web SVG defines the graphics in XML format SVG graphics do NOT lose any quality if they are zoomed or resized
Every element and every attribute in SVG files can be animated
In this article using SVG (Scalable Vector Graphics) we can create the bar chart.Last three articles we are seeing about the bar chart creation in different ways.
So in this article also we are going to see for creating bar chart using svg
Comparing div and svg
SVG would be easier for you, since selection and moving it around is already built in. SVG objects are DOM objects, so they have "click" handlers, etc.
DIVs are okay but clunky and have awful performance loading at large numbers.
Also see some of the similarities between svg and html
You can write SVG markup and embed it directly in a web page (provided you use <!DOCTYPE html>). You can inspect SVG elements in your browser’s developer tools. And SVG elements can be styled with CSS, albeit using different property names like fill instead of background-color. However, unlike HTML, SVG elements must be positioned relative to the top-left corner of the container; SVG does not support flow layout or even text wrapping.
Now we will see the same example which we seen in last article.But in program is created using svg
Then using Linear scales method in d3 we can map a continuous input domain to a continuous output range.
D3’s scales specify a mapping from data space (domain) to display space (range)
var x = d3.scale.linear()
Although x here looks like an object, it is also a function that returns the scaled display value in the range for a given data value in the domain. For example, an input value of 4 returns 40, and an input value of 16 returns 160.
Then using d3 functions select and selectAll to select the placeholder part and plot the data's
From the above code select is used to select the container (In this program .chart is the container)
selectAll method is used to select all the elements.Here it will select all the div.In d3 using data we will pass the datas.So in above programs based on the datas it append the number div using append method.
Using style method it will set the styles.In above program width will set based on the datas and text method used to set the text.
What is KeyStone.Js? KeystoneJS is a powerful Node.js content management system and web app framework built on express and mongoose. Keystone makes it easy to create sophisticated web sites and apps, and comes with a beautiful auto-generated Admin UI.
KeystoneJS is the easiest way to build database-driven websites, applications and APIs in Node.js.
Express.js and MongoDB
Auto-generated Admin UI
Keystone uses Mongoose, the leading ODM for node.js and MongoDB, and gives you a single place for your schema, validation rules and logic.
Keystone can configure Express for you, or you can take over and treat Keystone like any other Express middleware.
You can also easily integrate it into an existing Express app.
This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, completing a Distracted Sequence Recall task or an Embedded Reber Grammar test, so you can easily test and compare the performance of different architectures.
Mercury leverages virtual-dom which uses an immutable vdom structure
Mercury comes with observ-struct which uses immutable data for your state atom
Mercury is truly modular, you can trivially swap out subsets of it for other modules
Mercury source code itself is maintainable, the modules it uses are all small, well tested and well documented. you should not be afraid to use mercury in production as it's easy to maintain & fix.
Mercury encourages zero dom manipulation in your application code. As far as your application is concerned elements do not exist. This means you don't need to reference DOM elements when rendering or when handling events
Mercury is a small glue layer that composes a set of modules that solves a subset of the frontend problem.