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Javascript Charts and Chart Libraries

Posted In Java development, Webmaster - By Techtiplib on Monday, September 26th, 2016 With No Comments »

Big data gives modern business intelligence its transformative power and allows organizations to remain competitive in a fierce market. What some refer to as “dark data” (the relevant substance within big data) provides the specific actionable insight organizations seek. This insight fuels faster, better decisions and much more. It also benefits every aspect of business from operations to R&D.

Javascript Charts

Big data undeniably offers a wealth of valuable insight, but it also presents unique challenges; furthermore, these issues only grow with technological advancement and data size. One of the biggest challenges remains sifting through a sea of data to both extract and analyze meaningful information.

Though our advances in hardware equip us to manage large data volume and processing, even the average data scientist could not possibly analyze large data collections quickly. This limit of human processing makes visualization a critical tool in big data analysis. Big data also require special tools to extract it from files, PDF, spreadsheets.

Big Data and Visualization

Data visualization bridges the gap between data science analysis and insight used in the field. It essentially translates data into actions, and opens data to an entire organization. It also aids in making big data an integral, drop-in part of the decision-making process. This results from the transparent, contextual, and intuitive nature of visualizations, which are already staples of scientific analysis. 

The most recognizable types of visualizations are charts and graphs. These graphics reveal patterns and relationships in data, and enable the user to quickly absorb constructive information from large datasets. When paired with powerful applications, charts make data more interactive. Users can manipulate data to gather the exact insight needed in identifying and acting on trends. 

Chart Types

Charts provide rich expression through their broad and growing variety, and the importance of data visualization in modern business continues to drive creativity and development in chart types. However, most charts conform to six proven, standard types which easily and quickly convey information:

  • Comparison and Relationship – These charts reveal relationships and qualities of two or more variables, e.g., bar charts, line charts, and venn diagrams.
  • Distribution – These charts illustrate the distribution of data; for example, distribution over a specific time period. Histograms and scatter plots fall in this category.
  • Trends – Though other chart types show trends, some are specifically focused on delivering this information,e.g., line charts, OHLCs, and kagi charts.
  • Composition – This chart type reveals data composition, e.g., pie charts, marimekkos, and stacked bar charts.
  • Process – These charts detail and explain a process flow, e.g., a decision tree.
  • Maps – These charts describe location data through overlays on maps; for example, a map shaded to specify dominant political parties by state.

The Problem with Charts

Though charts prove an excellent resource in visualization, they do suffer from certain inherent flaws like misleading or confusing information. This typically stems from poor chart types (e.g., bubble charts) or poor implementation. Chart solutions either aid in avoiding these problems or exacerbate them.

Current charting solutions offer a broad range of functionality, and serve every type of user from novice to expert. However, many fail in critical functionalities and include problematic features; for example, a cluttered interface, tedious chart creation, and limited compatibility.

Most view ease-of-use, rapid production, compatibility, and expansion as key features in powerful charting tools. Many tools address these features, but those employing Javascript charting libraries outperform others. These chart solutions utilize standard browser graphics technologies and the power of Javascript. This simple approach to visualization delivers greater speed, flexibility, and compatibility.

Javascript Charts

A plethora of charting libraries exists, and each delivers its own unique advantages; but all share qualities that make Javascript charts an excellent option:

  • Ease-of-use – Js chart solutions provide simple, clean interfaces with the common designs of other web-based solutions. They typically structure interfaces for fast production and fast access.
  • High-quality graphics – Js data tools create high-definition, professional images.
  • Granular specificity – Chart solutions provide facilities for rich customization comparable to any competitors outside of Javascript tools.
  • Rapid production – Through solid integration, precision, and ease-of-use; Data tools accelerate the creation of graphics. Users spend less time navigating and familiarizing, and more time creating.
  • Universal data format(s) – Javascript charting libraries mostly avoid proprietary formats, so users are free to distribute content outside of a specific ecosystem.
  • Easy integration – The use of common, standard web technologies means smooth integration with various data sources, applications, and systems.
  • Fast and easy expansion – Users employing services to enhance or tailor their solution enjoy rapid expansion and customization due to the simple, common nature of Javascript technologies.
  • Lightweight – Charting libraries support 100% client side solutions. These solutions avoid the added weight of more complex designs that exploit multiple server-side and client-side resources.  
  • Accelerated function – Js chart tools exploiting exclusively client-side function deliver responsive solutions, and avoid the lag and bottlenecks associated with more constrained options.
  • Agility – Js data tools are inherently more agile than other solutions given the ease of customization and expansion. This allows organization technology to remain competitive.
  • Scaling – Javascript solutions easily scale to any need or size. The qualities which support their flexibility, versatility, and rapid deployment also support organizational growth and development. This allows users to focus on primary goals.

Other Applications of Javascript Visualization

The same capability powering js chart visualizations powers many other solutions; for example, the ByteScout PDF Generator SDK for Javascript.

The PDF Generator SDK supports the creation of rich PDF reports. Its output includes all elements of a standard PDF file: text, images, graphics, links, and HTML formatting. This lean and independent design afforded by Javascript does not require Acrobat or any other server-side tools to work; consequently, it dramatically reduces the processing and hosting load of a site. Leaning that load reduces costs, accelerates performance, and improves overall function. The ByteScout SDK provides 100% client-side PDF generation through the browser graphics capabilities.

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