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chaoticengineerbanana · 4 years ago

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Html For Mac Os

Brackets is an open-source free text editor for Mac OS. It is maintained on GitHub, and is. Notepad for Mac is a note-taking app for Mac OS X. A trial version is available from several download sites, while the full licensed version of Notepad for Mac will cost you $20. HTML Editor for Mac Developer Tools › Webmaster Tools HTML Editor by Free Labs Sofware is a standard HTML editor that is capable of modifying various aspects of websites that are loaded into the program. Although no version of HTML Editor for Mac has been released yet, you can use other applications that offer the same functionality instead.

2020-09-10 17:49:43 • Filed to: macOS 10.14 • Proven solutions

HTML which stands for Hyper Text Markup Language is widely used for tagging text files to effect hyperlinks, fonts, graphics and colours on web pages. HTML files are created and edited on macOS 10.14 by specific apps and IDEs (Integrated Development Environment) most of which are quite expensive to purchase. To this effect, you'll find below the best free HTML editor for macOS 10.14 and as well the WYSIWYG HTML editor macOS 10.14 supports. The list will comprehensively inform you on the pros and cons of these free apps and where to download them.

10 Free HTML Editor for macOS 10.14

1. Komodo Edit

Komodo Edit is a cross platform free HTML editor macOS 10.14that makes writing codes look very easy. It enables you write codes faster and minimise errors. With most features derived from an integrated python interpreter, Komodo Edit uses Mozilla to provide its features. Its features include the Document Object Model Viewer, embedded support for a debugger, integration of source code control and control over selection of engine for running regular expressions. Aside from editing HTML codes, it also supports other programming languages like Python, PHP, CSS, Perl, Ruby, JavaScript, XML and a whole lot of others. Komodo Edit is unarguably the best HTML editor for macOS 10.14.

Pros

Works on almost all platforms

Expansion function using add-ons

Completes codes

Code preview in Minimap

Cons

Plugin conflicts may occurs between add-ons

Doesn't entirely support all languages

2. Atom

Atom is a free HTML editor for macOS 10.14 used for editing source codes and texts. It is integrated to Git Control and has support for plug-ins. With default plug-ins, programming languages like CSS, HTML, Ruby, JavaScript, Python, C++ and others are also supported. Atom is a classic, modern and hackable HTML editor that relies on web technologies, and grants access to system files. It is hackable in the sense that it allows novice programmers to create text editors on their own without a prior knowledge of programming. With Atom, you can customize to your taste or just makes the best use of this HTML text editor macOS 10.14 without touching a configuration file.

Pros

It is open source

Plug-ins are built with node.js

Github support

Awesome user interface

Cons

Takes on heavy memory

Slow with too many files

3. NetBeans

NetBeans is an open source IDE is used for developing software applications by developers. It can read and edit texts in HTML. PHP, C++ and a few more. It provides an intuitive user interface for macOS 10.14 users and comes with customized key-bindings. Interestingly, it supports Git and management of source codes.

Pros

Comes with various Integrated Development modules

Completes codes

Awesome Swing GUI design

Integration of version control

Cons

Html Tidy For Mac Os X

Takes time to load

Advanced tool cannot be used without training

Takes on heavy memory than most other IDEs

4. Brackets

Brackets is a free html editor for macOS 10.14 that offers users the ability to edit codes using pre-processors. The Brackets editor HTML macOS 10.14 has tools and features like the Live Preview and inline editors that makes coding easier and faster.

Pros

It is open source

Built with CSS, HTML and JavaScript for easy hacking

Cons

Little or no functions for users using server side coding languages

No filter for extension registry

5. Aptana Studio 3

Aptana Studio 3 is an open source text and code editor for macOS 10.14 based on Eclipse. It relies on few third party products like Git and Oracle. It can clearly edit HTML, display matching tags and graphical contents with support for each element in web browsers. Creating a webpage with this program is very simple.

Pros

Integrated Debugger

Code Tracking

Cons

Weakness in debugging PHP and JavaScript

6. Amaya

Amaya is one of the best free WYSIWYG HTML editor macos 10.14 would ever have. Accepted and adopted by World Wide Web Consortium (W3C), Amaya is a simple and powerful web editor with unlimited designs that allow users to create fonts, change colours, insert objects and do virtually anything with line of texts.

Pros

Open source

Friendly WYSIWYG interface

Support for all W3C standards including XML

Cons

Mostly unstable

No advanced editing features

7. Bluefish Editor

If you're looking for an HTML editor for macOS 10.14 with simple interface yet sophisticated features, then you can find both in Bluefish Editor. This app comes with a beautiful Graphic User Interface and at the same time works really fast. Its auto-recovery feature steps in after an unknown shutdown or crash and this feature gives Bluefish Editor an edge over other text editors. It is great for designing interactive webpages and running several programming languages.

Html Wysiwyg Editor Mac Os X

Pros

Open source

Available for various operating systems

Surplus tools for programmers

Support for HTML5 templates

Cons

DOCTYPE limitation

Less support for non-web programming/markup languages

8. SeaMonkey

SeaMonkey is a product of Mozilla, based on same source codes used in products like Firefox and Sunbird. It is an application suite that serves as an HTML editor, web browser, web development, IRC chat and email client. With SeaMonkey's built-in browser, code testing is carried out really fast and easy. SeaMonkey is a free WYSIWYG html editor for macOS 10.14 with integrated FTP client for publishing web pages.

Pros

Awesome HTML formatting tools

Powerful organization and security

User Friendly WYSIWYG interface

Cons

No fast index search

9. KompoZer

KompoZer is an open source easy to use WYSIWYG HTML editor for macOS 10.14 that can be used to edit HTML codes without any professional experience on coding. Its first stable release was on August 2007 and has since then been known for its slick interface and numerous code-editing features.

Pros

Code-graphic view in split

Edits code directly

Neat interface

Cons

Neat interface

No CSS validator

Annoying bugs

10. Vim

Vim, developed by Bram Moolenaar is a free and open source HTML editor that comes with different viewing modes for efficient text editing. Vim (Vi Improved) is a contraction and clone for Bill Joy's Vi code editor. Its search and replace function is very handy when working with multiple files. In addition, Vim is a very powerful and fast HTML editor.

Pros

Plug-in extension

Can highlight syntax

Customizable

Cons

Not so fine interface

Difficulty in finding best plug-ins with large packages

Best Free HTML Converter for macOS 10.14

Converting HTML documents on macOS 10.14 is a feature found in very few apps, and even when found can be most times really slow and uneasy. This is where PDFelement for Mac comes into play. If you're wondering why you need to convert HTML files, then consider trying to save a HTML file as a PDF document. You can only do so with the help of PDF software that has ability to convert such documents. Easy to use PDFelement is integrated with advanced and useful office features that make conversion efficient.

Other features:

Can easily create and convert PDF files from images, HTML documents and other text document formats

Editing and annotating PDF files is simple and quick

Effective filling and signing of forms and contracts

Easy addition of backgrounds, watermarks, headers and footers

Gives access to huge number of PDF templates

File protection with password

Free Download or Buy PDFelement right now!

Buy PDFelement right now!

Create Html On Mac

Buy PDFelement right now!

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dorothydelgadillo · 6 years ago

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What is Schema Markup (and How to Implement It)

Have you heard the words Schema.org, Schema Markup, Structure Data thrown around in conversation? Have they left you scratching your head, wondering what the heck your teammates (especially web developers) were talking about?

Well, you are in luck! We’re clearing the fog so you know exactly what they are, why they matter, (and can get more out of all that technical talk).

Let’s roll.

What is Schema Markup?

Search Engines work hard to understand the content of the page. That is where Schema markup comes into play.

Ryan MacKeller, in his “My Six Search Resolutions for 2018” infographic, had the best short and skinny definition of Schema, in my opinion:

"No matter how smart we think Google is, it still struggles to make sense of what a webpage is actually about. That's why there's schema markup. It's a form of metadata added to a website that tells the algorithm what it is drawing and how to categorize it. In December 2017, Google even launch an algorithm update that penalized websites without."

In other words, Schema markup, also known as structured data, is the language of search engines, using a unique semantic vocabulary. TopSpot SEM does a great job breaking down what is semantic vocabulary.

“At its basis semantic vocabulary is simply the ability to break down a sentence (in any language) into its varying parts. For example, while you may be able to interpret “mydogneedswater” as “my dog needs water,” a computer typically can’t. In the same way, schema markup uses semantic vocabulary to break down the language of the computer. In this case, the computer’s language would be its code.”

It is code used to more clearly provide information to search engines in order to understand your content. In turn, this helps provide users with better, more accurate information in the rich snippets that are displayed beneath the page title.

(Example of SERP with different Schema Types)

Some schema you may be familiar with and not even realize it are the rating/review, product/service (showing price or whether it is in stop), and news articles that appear directly in Google when you enter certain queries.

Depending on what platform your site is built on, there are a couple of ways to implement schema. For WordPress, for example, there are plugins you can install.

For other CMSes, depending on the type of language, it is either manually in the head of the page, or inline with the HTML.

It is so essential to search engines, schema.org, the website for schema markup, is actually the result of collaboration between Google, Bing, and Yahoo!. Something’s gotta be crucial if it brings competitors together like that!

Why Should Implementing Schema Markup Be So Important to Me?

Search results that have schema applied inform the user faster.

The user is able to see details of your page at a glance which help them decide whether to click through or move on to a more relevant one.

This information also helps your website rank better for all kinds of content types, get found, and in turn, get more clicks.

Recently I have been doing some research on a new dehumidifier for my basement, and before I started writing this article, I never really paid attention to all the details on the SERPs.

Learning more about schema, I started to pay attention to them more. Here are the search results from me looking at the Frigidaire 70 Pint Dehumidifier.

I was able to quickly see all the ratings for the dehumidifier, and if I was lucky to price it was going to cost me. Then, I wanted to go in further to see what people were saying about the dehumidifier. Many reviews were right there!

Keep in mind this isn’t an SEO hack, it’s a staple that helps search engines find and display your content.

The only way that schema can hurt you is if your competitor is using it and you are not.

According to Search Engine Land, by implementing schema, you could get a 30% increase in click-through rate.

At IMPACT, we implement a very basic schema to help with your company profile, such as logo, website URL, phone number, and social media profiles.

On blogs, we also implement the Article Schema markup that includes the headline, featured image, author, published date, etc.

What Types of Schema Markups Are There?

There are hundreds of different markup types because there are so many different questions people turn to search engines to answer.

You may ask yourself, well, are there certain schema that only works on certain search engines? Since the big search engines (Google, Bing, Yandex, and Yahoo!) are collaboration as we mentioned, the answer is no. All of them are looking for and reading the same information.

Here is an FAQ from Schema.org to explain further:

Q: Why are Google, Bing, Yandex, and Yahoo! collaborating? Aren't you competitors?

Currently, there are many standards and schemas for marking up different types of information on web pages. As a result, it is difficult for webmasters to decide on the most relevant and supported markup standards to use. Creating a schema supported by all the major search engines makes it easier for webmasters to add markup, which makes it easier for search engines to create rich search features for users.

Here are the 10 most common schema markups that are used.

1. Organization Schema Markup

The organization schema markup clarifies your company introduction, including official logo, contact info, location, and social profiles. This helps give you the short and skinny of a company right off the bat without having to dig around to try and find basics. It also makes it easier for people to find the information they need to contact you right away.

2. Person Market Schema Markup

The Person Market Schema shows information about an individual, such as name, birthday, address, education, and family members.

Google assumes that if you’re searching for someone by name, you’re likely looking for some basic information.

So, with this schema, it’s aiming to deliver the answer you seek without you needing to click through to another website.

3. Local Business Schema Markup

The Local Business Schema Markup is great for local companies or a local branch of an organization. It helps consumers find the company's location and other information such as the address, opening hours, contact info, etc.

Local Business is a particular physical business or branch of an organization, for example, restaurant, branch of a bank, bowling alley, medical practice, etc.

4. Product & Offer Schema Markup

The Product & Offer markups are used to sell a specific item of a service or product.

Both enable product information to be delivered, such as price and status, but the Offer markup also requires the price and price currency properties, while Product markup only requires the name property.

This helps your product/service stand out from the rest if competitors aren't using it, or it allows the users to easily compare you to other competitors if they are selling the same product/service you are.

5. Breadcrumbs Markup

Breadcrumbs markup lists the path links that lead to the current page. It helps users to see their location and helps reduce bounce rates.

6. Article Schema Markup

Schema Article Markup is most commonly used for news and blog posts.

It makes it easier for search engines to understand the content pulling in the headline, time it was published, a featured image, and sometimes even a video. There are, however, different types of Article Schema Markup for the different type of articles, such as Blog Post, News Article, and Scholarly Article.

7. Video Schema Markup

Video Schema Markup is a good way to help Google crawl and index videos on your website, as we all know it is tough for search engines to do so.

It also helps your video appear in the Google Video Search, alongside those from YouTube.

8. Event Schema Markup

Event Schema Markup provides additional information for scheduled events (i.e. webinars, concerts, lectures, etc) such as date, location, and price.

This helps make it easier to draw people to the specific events they’re looking for and give them the basic information they need to want to make a purchase.

9. Recipe Schema Markup

Recipe schema markup is meant for the recipe website pages to show as a rich snippet.

Besides making searchers hungry, it helps them evaluate the finished product before they click through.

10. Rating/Review Schema Markup

Who doesn’t look at reviews before they purchase a service or a product? Rating Schema Markup generates your best directly in the SERP pages.

This will help get useful buyer information right out front without the user having to dig deeper.

Looking for the full list of items that Schema Markups can define, you can find them here.

Schema Encoding Types

There are just three different encoding types of Schema Markup they are, JSON-LD, Microdata, RFDa. SEMRush does a great job breaking it down further for the average marketer to understand.

As a marketer, it’s important to understand that RDFa and Microdata are the older way to write schema.

These types of language involve implementing code right into the HTML and this can make things more difficult and more prone to causing issues on your page such as causing incorrect HTML syntax and your page not properly loading.

JSON-LD is the preferred method of adding structured data to your website because it is the easiest to understand as well as implement into the code of your site. Just until recently not all search engines adopted this type of language so you had to use the others.

RDFa stands for Resource Descriptive Framework in Attributes. It is a form of code that can be added to any HTML, XHTML, and XML-based document.

In the end, they all do the same thing for getting your schema out there for search engines, the only difference is how they are implemented into your site.

RDFa’s attributes include:

about - to specify the resource the metadata is about

rel and rev - to specify a relationship and reverse relationship with another resource

src, href, and resource - to specify a partner resource

content - to override the content of the element when using the property attribute

datatype - to specify the datatype of text specified for use with the property attribute

typeof - to specify the RDF type of the subject or the partner resource

Microdata implementation is similar to RDFa, and its attributes include the following:

itemscope - to create the item and indicate that the rest of the element contains information about it

itemtype - to describe the item and properties with a valid URL of a vocabulary (for example, “https://schema.org”)

itemprop - to indicate that the containing tag has the value of a specified item property (ex, itemprop=”name”)

itemid - to indicate a unique identifier of the item

itemref - to reference properties of an element that are not contained in the itemscope. This provides a list of element ids with more properties elsewhere in the document

JSON-LD stands for Javascript Object Notation for Linked Objects. This style of annotation can implement schema by pasting directly in the <head> or <body> tag of a web document. The notation uses “@context” and “@type” attributes to specify the vocabulary (schema.org).

Looking for a more technical definition of each (maybe for your developers) Google has a great definition of each.

How Do I Implement Schema Markup on My Site?

Now you have probably said to yourself, great another coding language I have to learn, or more money that I have to spend having a developer to get this implemented on my site.

That's not the case!

You don't need to learn any new coding skills!

Here are some steps you can take using some of Google’s tool to get your schema markup generated.

1. Go to Google's Structure Data Markup Helper.

2. Select the type of data that you plan to markup.

3. Paste in the URL of the page or article you want to markup.

4. Highlight and select the type of elements to be marked up.

5. Continue adding markup items.

Use the list of data items as a guide, and continue highlighting the other items in your article to add them to the markup list. Don’t worry if you can’t tag every item, just get the ones that are required. But keep in mind the more the better.

6. Create the HTML.

7. Use the Structured Data Testing Tool to find out what your page will look like with the added markup. You can also use the tool to test for any warnings.

8. Add the generated schema markup to your web page. If you wish you can also add before testing.

There are plenty of other tools out there that will help you create your schema markup, and even validate it.

Here are just a few.

Generators

Google Data Highlighter

Google Structured Data Markup Helper

JSON-LD Schema Generator by Merkle

Validators and test tools

Yandex Structured data markup

Yandex Structured data validator API

Structured Data Testing Tool

Google Search Console Rich Cards

Google Rich Results Tester

Bing Webmaster Tools Markup Validator

For those WordPress people, here are a couple of plugins.

WordPress Plugins

Yoast SEO Local

Yoast SEO

Jump on the Schema Bandwagon!

In 2017, Bing and Catalyst did a study and it was reported that only 17% of people were using schema markup. If you aren’t on the schema markup bandwagon, time to jump and get this implemented as soon as possible. With it, you have a better chance outranking your competitors, and gaining that brand recognition.

Need help getting started with schema markup? Talk to IMPACT!

from Web Developers World https://www.impactbnd.com/blog/what-is-schema-markup-and-how-to-implement-it

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tendaisagwetethink-blog · 8 years ago

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Statistics

In 2014, 3,179 people were killed, and 431,000 were injured in motor vehicle crashes involving distracted drivers.

As of December 2014, 169.3 billion text messages were sent in the US (includes PR, the Territories, and Guam) every month. (CTIA)

Ten percent of all drivers 15 to 19 years old involved in fatal crashes were reported as distracted at the time of the crashes. This age group has the largest proportion of drivers who were distracted at the time of the crashes. (NHTSA)

Drivers in their 20s are 23 percent of drivers in all fatal crashes, but are 27 percent of the distracted drivers and 38 percent of the distracted drivers who were using cell phones in fatal crashes. (NHTSA)

https://www.distraction.gov/stats-research-laws/facts-and-statistics.html

Chapter 1. Introduction

Why Data Visualization?

Our information age more often feels like an era of information overload. Excess amounts of information are overwhelming; raw data becomes useful only when we apply methods of deriving insight from it.

Fortunately, we humans are intensely visual creatures. Few of us can detect patterns among rows of numbers, but even young children can interpret bar charts, extracting meaning from those numbers’ visual representations. For that reason, data visualization is a powerful exercise. Visualizing data is the fastest way to communicate it to others.

Of course, visualizations, like words, can be used to lie, mislead, or distort the truth. But when practiced honestly and with care, the process of visualization can help us see the world in a new way, revealing unexpected patterns and trends in the otherwise hidden information around us. At its best, data visualization is expert storytelling.

More literally, visualization is a process of mapping information to visuals. We craft rules that interpret data and express its values as visual properties. For example, the humble bar chart in Figure 1-1 is generated from a very simple rule: larger values are mapped as taller bars.

Figure 1-1. Data values mapped to visuals

More complex visualizations are generated from datasets more complex than the sequence of numbers shown in Figure 1-1 and more complex sets of mapping rules.

Why Write Code?

Mapping data by hand can be satisfying, yet is slow and tedious. So we usually employ the power of computation to speed things up. The increased speed enables us to work with much larger datasets of thousands or millions of values; what would have taken years of effort by hand can be mapped in a moment. Just as important, we can rapidly experiment with alternate mappings, tweaking our rules and seeing their output re-rendered immediately. This loop of write/render/evaluate is critical to the iterative process of refining a design.

Sets of mapping rules function as design systems. The human hand no longer executes the visual output; the computer does. Our human role is to conceptualize, craft, and write out the rules of the system, which is then finally executed by software.

Unfortunately, software (and computation generally) is extremely bad at understanding what, exactly, people want. (To be fair, many humans are also not good at this challenging task.) Because computers are binary systems, everything is either on or off, yes or no, this or that, there or not there. Humans are mushier, softer creatures, and the computers are not willing to meet us halfway—we must go to them. Hence the inevitable struggle of learning to write software, in which we train ourselves to communicate in the very limited and precise syntax that the computer can understand.

Yet we continue to write code because seeing our visual creations come to life is so rewarding. We practice data visualization because it is exciting to see what has never before been seen. It is like summoning a magical, visual genie out of an inscrutable data bottle.

Why Interactive?

Static visualizations can offer only precomposed “views” of data, so multiple static views are often needed to present a variety of perspectives on the same information. The number of dimensions of data are limited, too, when all visual elements must be present on the same surface at the same time. Representing multidimensional datasets fairly in static images is notoriously difficult. A fixed image is ideal when alternate views are neither needed nor desired, and required when publishing to a static medium, such as print.

Dynamic, interactive visualizations can empower people to explore the data for themselves. The basic functions of most interactive visualization tools have changed little since 1996, when Ben Shneiderman of the University of Maryland first proposed a “Visual Information-Seeking Mantra”: overview first, zoom and filter, then details-on-demand.

This design pattern is found in most interactive visualizations today. The combination of functions is successful, because it makes the data accessible to different audiences, from those who are merely browsing or exploring the dataset to those who approach the visualization with a specific question in search of an answer. An interactive visualization that offers an overview of the data alongside tools for “drilling down” into the details may successfully fulfill many roles at once, addressing the different concerns of different audiences, from those new to the subject matter to those already deeply familiar with the data.

Of course, interactivity can also encourage engagement with the data in ways that static images cannot. With animated transitions and well-crafted interfaces, some visualizations can make exploring data feel more like playing a game. Interactive visualization can be a great medium for engaging an audience who might not otherwise care about the topic or data at hand.

Why on the Web?

Visualizations aren’t truly visual unless they are seen. Getting your work out there for others to see is critical, and publishing on the Web is the quickest way to reach a global audience. Working with web-standard technologies means that your work can be seen and experienced by anyone using a recent web browser, regardless of the operating system (Windows, Mac, Linux) and device type (laptop, desktop, smartphone, tablet).

Best of all, everything covered in this book can be done with freely accessible tools, so the only investment required is your time. And everything we’ll talk about uses open source, web-standard technologies.

By avoiding proprietary software and plug-ins, you can ensure that your projects are accessible on the widest possible range of devices, from typical desktop computers to tablets and even phones. The more accessible your visualization, the greater your audience and your impact.

What This Book Is

This book is a practical introduction to merging three practices—data visualization, interactive design, and web development—using D3, a powerful tool for custom, web-based visualization.

These chapters grew out of my own process of learning how to use D3. Many people, including myself, come to D3 with backgrounds in design, mapping, and data visualization, but not programming and computer science.

D3 has a bit of an unfair reputation for being hard to learn. D3 itself is not so complicated, but it operates in the domain of the Web, and the Web is complicated. Using D3 comfortably requires some prior knowledge of the web technologies with which it interacts, such as HTML, CSS, JavaScript, and SVG. Many people (myself included) are self-taught when it comes to web skills. This is great, because the barrier to entry is so low, but problematic because it means we probably didn’t learn each of these technologies from the ground up—more often, we just hack something together until it seems to work, and call it a day. Yet successful use of D3 requires understanding some of these technologies in a fundamental way.

Because D3 is written in JavaScript, learning to use D3 often means learning a lot about JavaScript. For many datavis folks, D3 is their introduction to JavaScript (or even web development generally). It’s hard enough to learn a new programming language, let alone a new tool built on that language. D3 will enable you to do great things with JavaScript that you never would have even attempted. The time you spend learning both the language and the tool will provide an incredible payoff.

My goal is to reduce that learning time, so you can start creating awesome stuff sooner. We’ll take a ground-up approach, starting with the fundamental concepts and gradually adding complexity. I don’t intend to show you how to make specific kinds of visualizations so much as to help you understand the workings of D3 well enough to take those building blocks and generate designs of your own creation.

Who You Are

You may be an absolute beginner, someone new to datavis, web development, or both. (Welcome!) Perhaps you are a journalist interested in new ways to communicate the data you collect during reporting. Or maybe you’re a designer, comfortable drawing static infographics but ready to make the leap to interactive projects on the Web. You could be an artist, interested in generative, data-based art. Or a programmer, already familiar with JavaScript and the Web, but excited to learn a new tool and pick up some visual design experience along the way.

Whoever you are, I hope that you:

Have heard of this new thing called the “World Wide Web”

Are a bit familiar with HTML, the DOM, and CSS

Might even have a little programming experience already

Have heard of jQuery or written some JavaScript before

Aren’t scared by unknown initialisms like CSV, SVG, or JSON

Want to make useful, interactive visualizations

If any of those things are unknown or unclear, don’t fear. You might just want to spend more time with Chapter 3, which covers what you really need to know before diving into D3.

What This Book Is Not

That said, this is definitely not a computer science textbook, and it is not intended to teach the intricacies of any one web technology (HTML, CSS, JavaScript, SVG) in depth.

In that spirit, I might gloss over some technical points, grossly oversimplifying important concepts fundamental to computer science in ways that will make true software engineers recoil. That’s fine, because I’m writing for artists and designers here, not engineers. We’ll cover the basics, and then you can dive into the more complex pieces once you’re comfortable.

I will deliberately not address every possible approach to a given problem, but will typically present what I feel is the simplest solution, or, if not the simplest, then the most understandable.

My goal is to teach you the fundamental concepts and methods of D3. As such, this book is decidedly not organized around specific example projects. Everyone’s data and design needs will be different. It’s up to you to integrate these concepts in the way best suited to your particular project.

Using Sample Code

If you are a mad genius, then you can probably learn to use D3 without ever looking at any sample code files, in which case you can skip the rest of this section.

If you’re still with me, you are probably still very bright but not mad, in which case you should undertake this book with the full set of accompanying code samples in hand. Before you go any further, please download the sample files from GitHub.

Normal people will want to click the ZIP link to download a compressed ZIP archive with all the files. Hardcore geeksters will want to clone the repository using Git. If that last sentence sounds like total gibberish, please use the first option.

Within the download, you’ll notice there is a folder for each chapter that has code to go with it:

chapter_04 chapter_05 chapter_06 chapter_07 chapter_08 …

Files are organized by chapter, so in Chapter 9 when I reference 01_bar_chart.html, know that you can find that file in the corresponding location: d3-book/chapter_9/01_bar_chart.html.

You are welcome to copy, adapt, modify, and reuse the example code in these tutorials for any noncommercial purpose.

Thank You

Finally, this book has been handcrafted, carefully written, and pedagogically fine-tuned for maximum effect. Thank you for reading it. I hope you learn a great deal, and even have some fun along the way.

http://chimera.labs.oreilly.com/books/1230000000345/ch01.html

______________________________________________________________

I considered making the campaign rely heavily on data visualisation because I thought that it would be good way to get statistical information across well to our target audience. This is because instead of communicating statistical information through potentially intimidating large blocks of text I wanted to use data visualisation to communicate to my audience through simpler visual means. We ultimately didn’t go along with this idea because my partner wasn’t enthused by the idea. I did draw a few starter ideas for what the ultimate results might look like.

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