Comparative Study of Data Visualization Tools

Total Page:16

File Type:pdf, Size:1020Kb

Comparative Study of Data Visualization Tools Mukt Shabd Journal ISSN NO : 2347-3150 Comparative Study of Data Visualization Tools [1]Kirti Nilesh Mahajan, [2]Leena Ajay Gokhale [1] Institute of Management and Entrepreneurship Development (IMED), Bharati Vidyapeeth Deemed to be University, Pune,[2] Institute of Management and Entrepreneurship Development (IMED), Bharati Vidyapeeth Deemed to be University, Pune Abstract—Data visualization is a robust technology that has the power to present large dataset in a graphical format. Significance of data visualization technology is not limited to mere data presentation. It also supports the users in understanding the data and making decisions. Two key goals of data visualization technology are Data Presentation and Data Exploration. There are numerous decision makers who depend upon visualization of data for making several data driven decisions and predictions. Data visualization technology integrates data visualization tool and data visualization technique. While data visualization tool is software which accepts the data, processes it and present it in graphical format, data visualization technique is the way in which this data is graphically presented such as chart, graph or map. Various data visualization tools and techniques are in practice. However, a major challenge for the decision makers is to select an appropriate data visualization tool and technique depending upon the purpose of visualization. The purpose of this research paper is to present the comparative study of data visualization tools and techniques. Index Terms— Data Visualization Techniques, Data Visualization Technology, Data Visualization Tools. I. INTRODUCTION Data visualization technology plays a vital role in the voyage of transforming raw data into graphic based knowledge. This is an appealing way of presenting the information. There is a wide scope for applications of visualizations in business decisions such as predicting market developments, identification of the problem, analyzing customer purchase trends, accurate data analysis, exploring Fig. 1. Data Visualization Technology integrates Tools and Techniques hidden patterns etc. Converting the data in the graphical format with the help of While data visualization tools deal with what is to be precise software is the fundamental need of modern business. selected for visualization and how this selected data will be Visualization tool is an integral part of the data visualization processed further for visualization, data visualization technology. Various data visualization tools are in practice. techniques deal with how this processed data will be These tools have different data visualization techniques such visualized, in what format. The visualization tool allows the as maps, graphs and charts etc. It becomes a major challenge user to select the data to be converted into graphic. Data to select the data visualization tool and technique for the visualization technique allows the user to select the chart decision makers. For this selection, knowledge of different types, the way in which the data will be presented. The user data visualization tools and understanding of their data may choose the chart type that suits the type of data to be visualization techniques is essential the precise requirement visualized. The data is represented by special symbols such as of the user. bars in a Bar Chart or lines in a Line Chart which is known as Comparative study of data visualization tools is based on data visualization technique. format of output, need of coding knowledge and commercial part of the tool. Comparative study of data visualization techniques of charts present some commonly used chart types along with their respective functions and logical design. The purpose of this research paper is to present the comparative study of different data visualization tools and techniques for the decision makers who depend upon the data Fig. 2. Role of Data Visualization Tool and Technique in Data Visualization visualization for numerous data driven decisions and Technology predictions. A. Goals of Data Visualization Technology II. DATA VISUALIZATION TECHNOLOGY Two key goals of data visualization technology are data Data visualization technology is used to make a graphical presentation and data exploration. Data presentation deals representation of any set of data which is stored in a precise with merely displaying the facts and figures that are already manner. Data visualization technology integrates data known to the user. Data exploration deals with finding the visualization tools and techniques. hidden insights from the large dataset. The benefits of both Volume IX, Issue V, MAY/2020 Page No : 6017 Mukt Shabd Journal ISSN NO : 2347-3150 these goals vary and hence the purpose of the data knowledge is essential or not, programming language for visualization should be clear before choosing the data processing of data for creating chart and format of graphical visualization tool and technique. output. While some data visualization tools are free, some are required to be purchased. Some data visualization tools can be used by the user without having the coding knowledge and hence can be useful for non-developers. However, some visualization tools are designed specifically for the developers and hence do not support the user without the coding knowledge. Some programming language is used by these data visualization tools to execute the process of chart. The graphical output may be in different formats such as charts or maps. However, there are some chart types that are commonly used and hence they are supported by most of the data visualization tools. Table I. Comparative study of Data Visualization Tools Factor of Comparison Data Open Coding Process of Format of Visualization Source Knowledge Chart Graphical Tools Output Fig. 3. Goals of Data Visualization Technology Microsoft No No Visual Basic Charts Excel for Applications B. Advantages of Data Visualization Technology (VBA) D3 Yes Yes JavaScript Charts and Advantages of data visualization technology may be Diagrams classified as advantages in visual impact and advantages in Chart.js Yes Yes JavaScript Animated functionality. All these advantages together make this Charts technology a significant and robust. High Chart No Yes JavaScript Interactive Charts Leaflet Yes Yes JavaScript Interactive Maps Dygraphs Yes Yes JavaScript Interactive Charts Fusion Charts No Yes JavaScript Charts and Maps Google Charts Yes Yes JavaScript Interactive Charts Timeline.js Yes No JavaScript Interactive Visual Timelines A. Microsoft Excel Microsoft Excel supports data storage, data analysis and data visualization in single application. The website presents six new chart types that have been introduced in MS Excel 2016, Treemap chart, Sunburst chart, Histogram chart, Box and Whisker chart, Waterfall chart and Funnel chart. [1] Fig. 4. Advantages of Data Visualization Technology Microsoft MS Excel 2016 is compatible with Windows 10, Windows 8.1 and Windows 7. MS Excel also supports further III. DATA VISUALIZATION TOOLS sub types of the charts. Data visualization tool is software which is used to convert B. D3 (Data-Driven Documents) the data into graphical format. These tools follow the D3, Data-Driven Documents or D3.js has a JavaScript fundamental system of accepting the input in the form of large library for visualizing data using web standards. D3 allows data, processing the data received and generating the binding arbitrary data to a Document Object Model (DOM) graphical output such as charts. Each visualization tool may and then applying data-driven transformations to the present the data differently. However, the user may select the document. D3 5+ supports recent browsers, such as Google visualization tool that may fulfill the precise visualization Chrome, Edge, Firefox and Safari. D3 version 4 and below requirements. The tool must be easy to use, produce the result also support IE 9+. It uses using HTML, SVG, and CSS file efficiently, support multiple types of chart etc. formats. This tool is open source. D3 supports large datasets. This comparative study of data visualization tools is based It is good for the developers as it is essential to have coding on four factors, open source or commercial software, coding knowledge for using this software. It is not suitable for 3D Volume IX, Issue V, MAY/2020 Page No : 6018 Mukt Shabd Journal ISSN NO : 2347-3150 data. [2] charts for commercial purpose, the licensed copy has to be purchased by the user. [7] C. Chart.js Chart.js is a computer based data visualization tool which H. Google Charts uses JavaScript. It has animated charts. Chart.js can be used Google Chart supports a wide range of charts. This data with ES6 modules, plain JavaScript and module loaders. This visualization tool has the collection of interactive charts. It is tool supports the modern browsers like IE9. It is good for written in JavaScript. The charts are drawn using SVG small projects. It uses HTML5 canvas element for rendering (Scalable Vector Graphics) in standard browsers like Google charts. This is an open source tool. However, it requires Chrome, Firefox, Safari and Internet Explorer. Google charts coding knowledge and hence is good for the developers. It is can be used to enhance web applications by adding interactive good for small projects. [3] charts. Various chart types such as area, bar, bubble, calendar, column, combo, donut, gauge, line can be drawn by using this D. High Chart tool. The tool allows to make the customized charts as well. High Chart support the developers to create interactive Google chart display tooltips when the user hovers over the charts for the websites. The tool uses JavaScript for data. It is developed for the websites and mobile devices. This developing the charts. The licensed copy of the application tool is open source. It connects to the data in real time. This has to be bought for the commercial purpose and the free tool requires coding and is made for the developers. [8] version is available for non-commercial use. Interactive, I. Timeline.js mobile-optimized charts can be added to the web and mobile By using this tool interactive visual timelines can be projects.
Recommended publications
  • Data Dashboards.Pdf
    About the trainer • BS (2004) Psychology, Iowa State University • MA (2007) Psychology, Northern Illinois University • EdD (In progress) Curriculum Leadership, Northern Illinois University • Former web developer and school psychologist • Assistant Superintendent for CUSD 220 in Oregon, IL – Coach principals in use of data – Supervise technology department – Primary administrator for PowerSchool • Marathoner, trumpet player, web developer, geocacher, national parks junkie, graduate student, backpacker Agenda • Why visualize data? • Getting started • The 5-step process – Load the FusionCharts library – Create and populate data array – Create chart properties object – Place visualization <div> element – Render chart • Examples • Final Tips • Live Lab Why Visualize Data? • Easier interpretation • Less repeated exporting of data • Timelier access to information • Everyone becomes their own data person – Can even be added on teacher pages Getting Started • Familiarity with page customization • Working knowledge of HTML, JavaScript, and JSON • Ability to write or find SQL for the data you want to extract • Ability to read documentation Getting Started with FusionCharts Good Bad • Included with PowerSchool • Documentation is difficult • No accounts or API keys to read needed • Not drag-and-drop • Displays live data • Customization is complex • Many, many chart types available • Charts are quite customizable FusionCharts • Docs – http://docs.fusioncharts.com • Reference: – http://www.fusioncharts.com/dev/chart- attributes.html • Gallery – http://www.fusioncharts.com/charts/ – Remember to Keep it Simple – Only use 3D if needed The Basics • Load the FusionCharts library (same for every implementation) • Create and populate data array • Create chart properties object • Place visualization <div> element • Render chart 1. Load the FusionCharts library <script language="JavaScript" src="/flash/FusionCharts.js"></script> 2.
    [Show full text]
  • Market Data Visualization – Concepts, Techniques and Tools
    EREADING WP 1 VISUAL POWER D1.2.3.3 MARKET DATA VISUALIZATION – CONCEPTS, TECHNIQUES AND TOOLS D1.2.3.3 Market Data Visualization – Concepts, Techniques and Tools Authors: Mari Laine-Hernandez (Aalto SCI) & Nanna Särkkä (Aalto ARTS) Confidentiality: Public Date and status: 1.11.2013 - Status: Final This work was supported by TEKES as part of the next Media programme of TIVIT (Finnish Strategic Centre for Science, Technology and Innovation in the field of ICT) Next Media – a Tivit Programme Phase 4 (1.1.–31.12.2013) Participants Name Organisation Responsible partner Mari Laine-Hernandez Aalto SCI/Media Responsible partner Nanna Särkkä Aalto ARTS/Media next Media www.nextmedia.fi www.tivit.fi EREADING WP 1 VISUAL POWER D1.2.3.3 MARKET DATA VISUALIZATION – CONCEPTS, TECHNIQUES AND TOOLS 1 (65) Next Media – a Tivit Programme Phase 4 (1.1.–31.12.2013) Executive Summary This report looks at the visualizations of abstract numerical data: what types of visualizations exist, how they can be conceptualized, and what kind of techniques and tools there are available in practice to produce them. More specifically the focus is on the visualizations of market data in journalistic context and on digital platforms. The main target group of the visualizations we are looking at are mainly small- scale investors (also entrepreneurs and decision makers) whose level of expertise varies. The report discusses the ways in which complicated numerical data can be presented in an efficient, illustrative manner, so that relevant up-to-date information is quickly available for those who want to keep up with the finances.
    [Show full text]
  • Civicore Widgetbuilder
    CiviCore WidgetBuilder CiviCore Team Auren Daniel Pierce • David Wang • Scott Wiedemann Client Chic Naumer COLORADO SCHOOL OF MINES Faculty Advisors Dr. Cyndi Rader • Dr. Roman Tankelevich MACS 2009 Field Session May 11 - June 19 TABLE OF CONTENTS ABSTRACT 2 BACKGROUND & INTRODUCTION 2 REQUIREMENTS & TECHNOLOGY INFORMATION 2 A. Functional Requirements 2 B. Non-Functional Requirements 3 C. Technology Information 3 USER SCENARIOS & USE CASES 3 A. User Scenarios 3 i. New Client 3 ii. Existing Client 4 B. Use Cases 4 i. Log in 4 ii. Workspace Management 4 iii. Data Management 5 iv. Chart/Graph Management 5 v. iframe Management 5 vi. iframe Retrieval 6 vii. Logging Out 6 DESIGN 6 A. Overview 6 B. Detailed Description 7 i. Main Internal Components 7 ii. Main External Components 8 C. Additional Details 9 i. Web Interface Overview 9 ii. Database Schema 10 ISSUES & PROJECT PROGRESSION 11 FUTURE WORK 12 CONCLUSIONS 12 GLOSSARY 13 - 1 - ABSTRACT The goal of the CiviCore team during field session is to create a user friendly web interface called WidgetBuilder between a sample database and a set number of flash visualizations. It can be difficult to interpret and obtain statistics from large sets of raw data. Visualizing data is a common solution to this problem. Visuals for all sorts of data are found everywhere in your daily life, including the web. To transition from raw data to a visual representation can be tedious, time-consuming, and expensive. WidgetBuilder is the solution to these issues. The goal of WidgetBuilder is to empower users by providing them with a web interface to easily marry data in a database with a collection of various flash visualizations including charts, graphs and gauges.
    [Show full text]
  • Javascript Charting
    JAVASCRIPT CHARTING Scaling for the Enterprise with Metric Insights © 2013 Copyright Metric insights, Inc. A REVOLUTION IS HAPPENING ..................................................................................... 3! Challenges .................................................................................................................... 3! Borrowing From The Enterprise BI Stack ...................................................................... 4! Visualization Layer ..................................................................................................... 4! Source Data Layer ..................................................................................................... 5! RDBMS sources ..................................................................................................... 6! Big Data sources .................................................................................................... 6! SaaS and Cloud Application data ........................................................................... 6! Business Intelligence Tool data ............................................................................. 6! Data Connection Layer .............................................................................................. 7! Load Management ................................................................................................. 7! Error Handling ........................................................................................................ 7! Schedules ..............................................................................................................
    [Show full text]
  • Learning Highcharts
    Learning Highcharts Create rich, intuitive, and interactive JavaScript data visualization for your web and enterprise development needs using this powerful charting library — Highcharts Joe Kuan BIRMINGHAM - MUMBAI Learning Highcharts Copyright © 2012 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. First published: December 2012 Production Reference: 1131212 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-84951-908-3 www . packtpub .com Cover Image by Asher Wishkerman (wishkerman@hotmai l .com) Credits Author Project Coordinator Joe Kuan Abhishek Kori Reviewers Proofreader Torstein Hønsi Maria Gould Tomasz Nurkiewicz Gert Vaartjes Indexer Monica Ajmera Mehta Acquisition Editor Kartikey Pandey Graphics Aditi Gajjar Lead Technical Editor Ankita Shashi Production Coordinator Nilesh R. Mohite Technical Editors Devdutt Kulkarni Cover Work Nilesh R.
    [Show full text]
  • Using Report Studio – Java Component Edition Information in This Document Is Subject to Change Without Notice
    Using Report Studio – Java Component Edition Information in this document is subject to change without notice. Examples provided are fictitious. No part of this document may be reproduced or transmitted in any form, or by any means, electronic or mechanical, for any purpose, in whole or in part, without the express written permission of Actuate Corporation. © 1995 - 2015 by Actuate Corporation. All rights reserved. Printed in the United States of America. Contains information proprietary to: Actuate Corporation, 951 Mariners Island Boulevard, San Mateo, CA 94404 www.actuate.com The software described in this manual is provided by Actuate Corporation under an Actuate License agreement. The software may be used only in accordance with the terms of the agreement. Actuate software products are protected by U.S. and International patents and patents pending. For a current list of patents, please see http://www.actuate.com/patents. Actuate Corporation trademarks and registered trademarks include: Actuate, ActuateOne, the Actuate logo, Archived Data Analytics, BIRT, BIRT 360, BIRT Analytics, The BIRT Company, BIRT Content Services, BIRT Data Analyzer, BIRT for Statements, BIRT iHub, BIRT Metrics Management, BIRT Performance Analytics, Collaborative Reporting Architecture, e.Analysis, e.Report, e.Reporting, e.Spreadsheet, Encyclopedia, Interactive Viewing, OnPerformance, The people behind BIRT, Performancesoft, Performancesoft Track, Performancesoft Views, Report Encyclopedia, Reportlet, X2BIRT, and XML reports. Actuate products may contain third-party products or technologies. Third-party trademarks or registered trademarks of their respective owners, companies, or organizations include: Mark Adler and Jean-loup Gailly (www.zlib.net): zLib. Adobe Systems Incorporated: Flash Player, Source Sans Pro font. Amazon Web Services, Incorporated: Amazon Web Services SDK.
    [Show full text]
  • Building BIRT Dashboards Information in This Document Is Subject to Change Without Notice
    Building BIRT Dashboards Information in this document is subject to change without notice. Examples provided are fictitious. No part of this document may be reproduced or transmitted in any form, or by any means, electronic or mechanical, for any purpose, in whole or in part, without the express written permission of Actuate Corporation. © 1995 - 2011 by Actuate Corporation. All rights reserved. Printed in the United States of America. Contains information proprietary to: Actuate Corporation, 2207 Bridgepointe Parkway, San Mateo, CA 94404 www.actuate.com www.birt-exchange.com The software described in this manual is provided by Actuate Corporation under an Actuate License agreement. The software may be used only in accordance with the terms of the agreement. Actuate software products are protected by U.S. and International patents and patents pending. For a current list of patents, please see http://www.actuate.com/patents. Actuate Corporation trademarks and registered trademarks include: Actuate, ActuateOne, the Actuate logo, Archived Data Analytics, BIRT, Collaborative Reporting Architecture, e.Analysis, e.Report, e.Reporting, e.Spreadsheet, Encyclopedia, Interactive Viewing, OnPerformance, Performancesoft, Performancesoft Track, Performancesoft Views, Report Encyclopedia, Reportlet, The people behind BIRT, X2BIRT, and XML reports. Actuate products may contain third-party products or technologies. Third-party trademarks or registered trademarks of their respective owners, companies, or organizations include: Adobe Systems Incorporated: Flash Player. Apache Software Foundation (www.apache.org): Axis, Axis2, Batik, Batik SVG library, Commons Command Line Interface (CLI), Commons Codec, Derby, Shindig, Struts, Tomcat, Xerces, Xerces2 Java Parser, and Xerces-C++ XML Parser. Bits Per Second, Ltd. and Graphics Server Technologies, L.P.: Graphics Server.
    [Show full text]
  • Mdn 0212Dg.Pdf
    Simply Stunning. Today’s users expect beautiful apps in every part of their lives, from work to home. Now, with +L],_WYLZZ[VVSZ`V\JHUHWWS`ZVWOPZ[PJH[LK[OLTLZHUKPUJVYWVYH[LLSLNHU[6MÄJLPUZWPYLK controls into your designs. DXv2 delivers the tools you need to inspire and be inspired. +V^USVHK[OLKH`MYLL[YPHS[VL_WLYPLUJL[OLUL_[NLULYH[PVUVMKL]LSVWLY productivity tools at www.DevExpress.com Untitled-14 1 12/9/11 4:18 PM THE MICROSOFT JOURNAL FOR DEVELOPERS FEBRUARY 2012 VOL 27 NO 2 Asynchronous Programming in C++ Using PPL COLUMNS Artur Laksberg ......................................................................... 22 DATA POINTS A Few of My Favorite Building a Massively Scalable Platform Things … in the Entity Framework 4.2 DbContext for Consumer Devices on Windows Azure Julie Lerman, page 6 Bruno Terkaly and Ricardo Villalobos ......................................... 28 FORECAST: CLOUDY Features and Foibles of ASP.NET MVC Model Binding Windows Azure Jess Chadwick .......................................................................... 36 Deployment Domains Joseph Fultz, page 12 Practical Cross-Browser HTML5 Audio and Video TEST RUN John Dyer ................................................................................ 46 Ant Colony Optimization James McCaffrey, page 70 Get Your Windows Phone Applications THE WORKING in the Marketplace Faster PROGRAMMER Cheryl Simmons ....................................................................... 54 Talk to Me: Voice and SMS in the Cloud What’s New in Windows Workfl ow Foundation 4.5 Ted Neward,
    [Show full text]
  • Accessible SVG Charts with Achart Creator and Achart Interpreter
    Accessible SVG Charts with AChart Creator and AChart Interpreter Christopher Alexander Kopel Accessible SVG Charts with AChart Creator and AChart Interpreter Christopher Alexander Kopel B.Sc. Master’s Thesis to achieve the university degree of Diplom-Ingenieur Master’s Degree Programme: Information and Computer Engineering submitted to Graz University of Technology Supervisor Ao.Univ.-Prof. Dr. Keith Andrews Institute of Interactive Systems and Data Science (ISDS) Graz, 16 May 2021 © Copyright 2021 by Christopher Alexander Kopel, except as otherwise noted. This work is placed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Zugängliche SVG-Charts mit AChart Creator und AChart Interpreter Christopher Alexander Kopel B.Sc. Masterarbeit für den akademischen Grad Diplom-Ingenieur Masterstudium: Information and Computer Engineering an der Technischen Universität Graz Begutachter Ao.Univ.-Prof. Dr. Keith Andrews Institute of Interactive Systems and Data Science (ISDS) Graz, 16 May 2021 Diese Arbeit ist in englischer Sprache verfasst. © Copyright 2021 Christopher Alexander Kopel, sofern nicht anders gekennzeichnet. Diese Arbeit steht unter der Creative Commons Attribution 4.0 International (CC BY 4.0) Lizenz. Statutory Declaration I declare that I have authored this thesis independently, that I have not used other than the declared sources / resources, and that I have explicitly indicated all material which has been quoted either literally or by content from the sources used. The document uploaded to TUGRAZonline is identical to the present thesis. Eidesstattliche Erklärung Ich erkläre an Eides statt, dass ich die vorliegende Arbeit selbstständig verfasst, andere als die angegebe- nen Quellen/Hilfsmittel nicht benutzt, und die den benutzten Quellen wörtlich und inhaltlich entnommenen Stellen als solche kenntlich gemacht habe.
    [Show full text]
  • Recruitment Supercharged with Campaigns
    RECRUITMENT SUPERCHARGED WITH CAMPAIGNS #recruitproactively At Hubspot, 70% of candidates are passive. Proactive recruitment helps high growth companies who can’t scale on referrals and reactive sourcing alone. See the FusionCharts Case Study FusionCharts is one of the top 10 data visualisation product globally. It is used by over 80% of Fortune 500 companies. They have 23,000 customers and 500,000 users in 120 countries, including technology giants such as Apple, Google, Cisco, Facebook, Intel, LinkedIn, Microsoft, Hewlett-Packard, IBM, EMC and the Federal Government of the United States. With Recruiterflow, Fusiocharts 40% decrease 60% decrease in time in time to hire spent interviewing candidates Job Title: Engineering Manager Recruitment Process: Application Review Recruiter Phone Screen Interview - Round 1 Interview - Round 2 with HM Final Interview with CEO Recruitment at FusionCharts Before Recruiterflow Job advertised on job Candidate Applies boards Job Created Recruitment Agencies Recruitment Process Careers Page Hired or Rejected Job Title: Engineering Manager Number of Candidates Applied 327 Number of Screening Calls 212 Number of Candidates Interviewed 79 Number of Interview Hours 117 Number of Hires 1 Advertisement Spend $1100 Days to fill position 87 Interviews/Hire Ratio 79 Interviews/Applied Ratio .24 Disadvantages of the ‘Old Way’ Reactive No targeting Higher time to hire Dependency on job boards, agencies etc Lower Interview/Hire ratio Higher Cost per hire Lower interviews/applied ratio No visibility into talent pipeline
    [Show full text]
  • Designed to Succeed—How Design Is Playing a Strategic
    FusionCharts FusionCharts White Paper Designed to succeed—How design is playing a strategic role in today’s software products? Designed to succeed―How design is playing a strategic role in today’s software products? Abstract “Good design is good business”—we heard this way back in the 1950s from Thomas Watson of IBM fame. Cut to the 21st century and good design seems to have become more critical than ever. Higher competition coupled with evolving needs of the customer have made design a strategic differentiator for software products. This paper analyzes the new meaning that design has come to acquire in today’s competitive business environment. By citing examples of some leading software products, this paper seeks to establish that design is no more an afterthought while building a product but is increasingly being used as a strategic differentiator. FusionChartsFusionCharts | www.fusioncharts.comwww.fusioncharts.com 2 2 FusionCharts Designed to succeed―How design is playing a strategic role in today’s software products? Introduction In his book ‘Don’t make me think’, Steve Krug talks about human computer interaction and web usabil- ity. The central idea in the book is that if a website makes a user stop and think about what he is doing, the design needs to be reconsidered. Though the book primarily focuses on e-commerce websites, a lot of what he says can be applied to other software applications too. Users like software applications that are simple, intuitive and do not thwart their normal thinking pro- cess. They want their apps to be friendly, focused, functional, fun, and fast.
    [Show full text]
  • Bar Chart Jquery Free Download
    Bar chart jquery free download Free jQuery Plugins about Bar chart. Download free Bar chart jQuery plugins at Download Free jQuery Pie Chart, Bar Chart, Donut Chart, Line Chart and other data visualization tools Graph Section. Page 1. is an easy way to include animated, interactive graphs on your website for free. Mix and match bar and line charts to provide a clear visual distinction. More jQuery Charts and Graphs are coming up and these charts will make of charting with line, bar and pie being the most famous amongst them. and this helps in downloading the particular type of chart that the user may. Home Examples Docs Download Info Donate jqPlot is a plotting and charting plugin for the jQuery Javascript framework. jqPlot produces beautiful line, bar and pie charts with many features: Free and Open Source but worth more! JS Charts is a free JavaScript chart generator that requires little or no coding for you to create highly customizable bar charts, pie charts and line graphs. Create a chart right now for your point! Examples. Prices. Download the free version. jQuery Charting Plugin that adds Beautiful Charts & Graphs to your website & integrates with Bootstrap, etc. Supports Download Samples. HTML Code Library supports 30 different Chart types including Line, Bar, Pie, etc. If you are. There are many jQuery plugins charts available that can help you to License: Free for non-commercial, paid for commercial uses. You can download the jQuery adapter from the main download page along with the Highcharts library itself. Default chart types include line, bar, area, and donut graphs.
    [Show full text]