Since you’re reading this, it surely would be no news to you that data visualization has become a very critical part of the IT world today. The huge amount of data being generated by different web technologies needs to be properly refined and visualized for the world to use and gain insights from it. The…
The nice thing about this article is it has code examples for each of the libraries to give you an idea of how they function.
“A picture is worth a thousand words”, the old saying goes, and in some cases, a picture is worth even more than that. The human eye is composed of some 30 or more discrete components, and along with the optical nerves and the brain functions that process sight, can take in a contrast ratio of around 100,000:1 (over time) and can distinguish about 10 million colors. That sight-brain-pathway is a pattern-matching wonder and has “regions of interest” that the eye/brain connection focuses on (http://www.cambridgeincolour.com/tutorials/cameras-vs-human-eye.htm).
Making up one of our primary senses, sight is immeasurably important to conveying information, and it’s vital to the Data Scientist to understand how to best use various visualizations to display and discuss data.
There is a book reference in this article from 2013 that still is a must-read for anyone attempting data visualization at any level. The best lesson is to look through other people eyes to appreciate how the information must “Look”. I go by a simple rule, “If my wife, who is not technical or a data scientist, can’t understand the visual it probably needs more work”
Via: Microsoft Developer, Buck Woody
I have used D3 in concert with C3 to create a data visualization front end to a data warehouse. D3 has a ton of features but is difficult to use out of the box for the novice user. The C3 library puts a layer of smarts on top of D3 making it much easier to get started in graphic visualizations. I’ve also used CData product to get an ODBC connection to Google sheets in order to analyze and transfer results from a Google form survey to a data warehouse. CData products are very good just be willing to pay for that excellence.
This article is a good read because it combines the two to assemble a REST service and use it to provide the data feed to D3.
via Building Dynamic D3.js Web Apps With Database Data — DZone Web Dev Zone
The proliferation of business intelligence platforms, tools, and software stacks is dizzying. It seems that not a week goes by in which a new product isn’t introduced to the market, which grows ever more fragmented and confusing. Specialized business intelligence tools for cloud-based data visualization, Hadoop, text analytics, and other specific solutions for certain analyses…
It’s official I’m doing any more BI comparison posts. I just can’t keep up. I swear there is either new BI tool every week or a “New Features” post on an existing one. Recently I did a comparison of a specific set of BI Tools requested by a State Agency. The problem was the selected set of tools to review didn’t provide the best solution. Now there are 19 websites with comparisons out the Yazoo and you don’t have to pay a consultant, or do you? This week I have 2 favorites Tableau and Microsofts Power-BI. I’m fickle so next week it may be something different.
via 19 Websites for Business Intelligence Tools Comparison — DZone Big Data Zone
Data visualizations on acid. A researcher with R programming language and mortgage rates for the last 30 days took data and turned it into some form of modern art. The whole package is available on GitHub.
Via: Database Weekly
It takes a few libraries to create dashboards that look like
Gridster.JS is a jQuery plugin that when combined with Chart.JS to create the charts and jsPDF to snapshot the page into a PDF file you can build a custom dashboard quickly. If you have used Tableau or Microsofts Power BI and wondered, “Could I write something like this in code for a specific solution”, me thinks the answer is “Yes”.
Businesses from all around the globe, irrespective of the industry vertical, have realized the importance of data-driven decision making. Data Analytics is currently one of the most trendy topics in the world and businesses across different verticals are increasingly focusing on deriving meaningful insights from data in order to understand both past and future trends. There…
I have used the first of these libraries D3 along with C3. I think the others are worth a little research time.
- Data-Driven-Documents (D3.js)
- Aperture JS
If your website is data-intensive, then you will need to find a way to make that data easy to visualize. Humans, after all, are not wonderful at understanding long lists of raw numbers. That’s where charts and graphs come in — they can make complicated statistical relationships obvious and intuitive, as well as more accessibile…
via An Introduction to Chart.js 2.0 — Six Simple Examples — SitePoint