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Using Google Charts - Google Charts

Using Google Charts - Google Charts
Google Charts provides a perfect way to visualize data on your website. From simple line charts to complex hierarchical tree maps, the chart gallery provides a large number of ready-to-use chart types. The most common way to use Google Charts is with simple JavaScript that you embed in your web page. That's all you need to get started. Charts are exposed as JavaScript classes, and Google Charts provides many chart types for you to use. All chart types are populated with data using the DataTable class, making it easy to switch between chart types as you experiment to find the ideal appearance. Ready to create your first chart? Our tools are constantly evolving to better address your needs; we depend on your feedback to help us prioritize which features to include.

SVG Graphics Library for JavaScript HTML5 :jsDraw2DX 15 Free Infographic Templates Wouldn't it be great if creating infographics was as simple as writing regular old text-based blog posts? Unfortunately, making visual content like this usually takes a lot more time, effort, and let's face it -- skill -- than the written word. Usually. But considering the popularity and effectiveness of visual content in marketing today, you can't just afford to throw in the towel. That's why we decided to take all the pain and suffering out of infographic creation. Seriously -- don't give up just yet. Download our 15 free infographic templates here. Then, all you have to do is provide the content to use inside them. Want to watch and listen to the instructions as you read the steps below? Identify the audience for your infographic.Collect your content and relevant data.Choose your desired infographic template.Download your template to PowerPoint.Customize your infographic.Include a footer with your sources and logo.Add an embed code and Pinterest button, and publish it. 1. 2. 3. 4. 5.

Cube Time Series Data Collection & Analysis Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub. Collecting Data An event in Cube is simply a JSON object with a type, time, and arbitrary data. Cube’s collector receives events and saves them to MongoDB. Querying Events Cube defines a simple language for querying events. You can intersect filters and customize which event fields are returned. request(browser).gt(duration, 250).lt(duration, 500) Cube supports both HTTP GET and WebSockets for retrieving events. Querying Metrics You can also use Cube to group events by time, map to derived values, and reduce to aggregate metrics. The first few results of which appear as: sum(request.eq(path, "/search")) sum(request(duration))

Gephi, an open source graph visualization and manipulation software Springy - A force directed graph layout algorithm in JavaScript. Addepar | Ember Charts A charting library built with the Ember.js and d3.js frameworks. It includes time series, bar, pie, and scatter charts which are easy to extend and modify. The out-of-the-box behavior these chart components represents our thoughts on best practices in chart interactivity and presentation. Features Highly customizable and extensible. You can contribute to this project in one of two ways: Browse the ember-charts issues and report bugs Clone the ember-charts repo, make some changes according to our development guidelines and issue a pull-request with your changes. We keep the ember-charts.js code to the minimum necessary, giving users as much control as possible.

Chartkick Simplify your admin dashboard - create new charts in seconds! Works with Rails, Sinatra and most browsers (including IE 6) A perfect companion to groupdate, hightop, and active_median Get handcrafted updates for new features Usage Line chart You must have groupdate installed to use the group_by_day method Pie chart Grape Column chart Bar chart Area chart Geo chart Timeline Multiple series breakfast or Say Goodbye To Timeouts Make your pages load super fast and stop worrying about timeouts. And in your controller, pass the data as JSON. class ChartsController < ApplicationController def completed_tasks render json: Task.group_by_day(:completed_at).count endend Note: This feature requires jQuery or Zepto at the moment. For multiple series, add chart_json at the end. render json: Task.group(:goal_id).group_by_day(:completed_at).count.chart_json Options Id and height Min and max values min defaults to 0 for charts with non-negative values. Colors Stacked columns or bars Discrete axis Global Options Customize the html

30 Simple Tools For Data Visualization There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer's repertoire. They're not just powerful; they're easy to use. In fact, most of these tools feature simple, point-and-click interfaces, and don’t require that you possess any particular coding knowledge or invest in any significant training. Let the software do the hard work for you. 1. iCharts 2. FusionCharts Suite XT is a professional and premium JavaScript chart library that enables us to create any type of chart. 3. Modest Maps is a small, extensible, and free library for designers and developers who want to use interactive maps in their own projects. 4. Pizza Pie Charts is a responsive pie chart based on the Snap SVG framework from Adobe. 5. Raw is a free and open-source web application for visualizing data flexibly and as easy as possible. 6. 7. 8. 9. Springy is a force-directed graph layout algorithm. 10.

30 Simple Tools For Data Visualization There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer's repertoire. They're not just powerful; they're easy to use. In fact, most of these tools feature simple, point-and-click interfaces, and don’t require that you possess any particular coding knowledge or invest in any significant training. Let the software do the hard work for you. 1. iCharts 2. FusionCharts Suite XT is a professional and premium JavaScript chart library that enables us to create any type of chart. 3. Modest Maps is a small, extensible, and free library for designers and developers who want to use interactive maps in their own projects. 4. Pizza Pie Charts is a responsive pie chart based on the Snap SVG framework from Adobe. 5. Raw is a free and open-source web application for visualizing data flexibly and as easy as possible. 6. 7. 8. 9. Springy is a force-directed graph layout algorithm. 10.

Reverse Snowflake Joins-online demo Visualizing huge SQL SELECT film.film_id AS FID, film.title AS title, film.description AS description, category.name AS category, film.rental_rate AS price, film.length AS length, film.rating AS rating, GROUP_CONCAT(CONCAT(actor.first_name, _utf8' ', actor.last_name) SEPARATOR ', ') AS actors FROM category LEFT JOIN film_category ON category.category_id = film_category.category_id LEFT JOIN film ON film_category.film_id = film.film_id JOIN film_actor ON film.film_id = film_actor.film_id JOIN actor ON film_actor.actor_id = actor.actor_id GROUP BY film.film_id; Algorithm (start with neato) Distance between nodes Please try the new version of SnowflakeJoins Powered by: Python , Graphviz , Pyparsing and CherryPy .Logo by Daniel Saarimäki You can get the BSD-licensed code from

2 Related Work Next: 3 H3: 3D Hyperbolic Up: Interactive Visualization of Large Previous: 1 Motivation There are several relevant threads of related work. We have already discussed some of the core information visualization data- and task-based taxonomies in Chapter 1. We begin with the previous work in the deliberate use of distortion to show as much context as possible around a focus point. The bulk of this chapter is a discussion of the many previous systems for drawing graphs and hierarchies, both topologically and geographically. One of the important challenges in a visualization system is how to present as much important information as possible given a finite display area. The disadvantage of simply providing navigation controls is that users often lose track of the position of their current viewport with respect to the global structure. Early work on automatic graph layout and drawing is scattered through the computer science literature [FPF88,WS79,Moe90]. 2.2.1 Geographical Systems

Clarity or Aesthetics? Part 3 – Tips for Achieving Both Previous Post (Part 2 of 3): A Tale of Four Quadrants We started this series by introducing the notion of a two dimensional plane on which to assess all data graphics, and then followed it up with an example of visualizations in four different quadrants on the plane to illustrate the differences between the two axes, clarity and aesthetics, that define the plane. Now, let’s review some of the basic principles & tips that you will find in the data visualization resources out there. Before showing the three tips, I want to make one thing very clear: as the designer of a data graphic, you are not the audience. Without further ado: Tip #1 – First, avoid confusing your audience with the wrong chart type. Tip #2 – Second, avoid horrifying your audience with poor design elements. Tip #3 – Third, incorporate helpful elements to increase both clarity and aesthetics. I’d love to know what you think about these tips, and what you would add, change, or take away. Thanks for stopping by, as always, Ben

Firefox Web Browser — Getting Started with Mozilla Firefox — mozilla.org Welcome to Firefox! We'll show you all the basics to get you up and running. When you're ready to go beyond the basics, check out the other links for features you can explore later. By default, Firefox gives you access to great content every time you open a new tab. Whether you know the exact web address or you're just searching, Firefox's address bar handles it all. Found a great web page? Browse the Internet without saving any information on your computer about which sites and pages you’ve visited. Click the menu button and then click New Private Window. Set up Firefox Accounts so you can take your browsing information with you wherever you go. , choose Sign in to Sync and follow the instructions to create your account. Choose the page that opens when you start Firefox or click the Home button. Open a tab with the web page you want to use as your home page. We've streamlined the toolbar with the most popular features but Firefox has even more features tucked away.

jQuery jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.[2] It was released in January 2006 at BarCamp NYC by John Resig. It is currently developed by a team of developers led by Dave Methvin. Used by over 80% of the 10,000 most visited websites,[3] jQuery is the most popular JavaScript library in use today.[4][5] The set of jQuery core features—DOM element selections, traversal and manipulation—enabled by its selector engine (named "Sizzle" from v1.3), created a new "programming style", fusing algorithms and DOM-data-structures; and influenced the architecture of other JavaScript frameworks like YUI v3 and Dojo. Microsoft and Nokia bundle jQuery on their platforms.[7] Microsoft includes it with Visual Studio[8] for use within Microsoft's ASP.NET AJAX framework and ASP.NET MVC Framework while Nokia has integrated it into the Web Run-Time widget development platform.[9] jQuery has also been used in MediaWiki since version 1.16.[10]

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