Data Visualization is the Key to Actionable Insights

Data visualization tools provide data visualization designers with an easier way to create visual representations of large data sets. The best data visualization tools on the market have a few things in common. First is their ease of use. The best tools can also handle huge sets of data. In fact, the very best can even handle multiple sets of data in a single visualization. It helps to better represent complex data and datasets to make it more usable by viewing patterns and trends across all of the data.? It also displays data that stands out from the rest to identify outliers of data. Visualization helps make data easier to consume and understand. Data visualization is part of many business-intelligence tools and key to advanced analytics. It helps people make sense of all the information, or data, generated today. With data visualization, information is represented in graphical form, such as a pie chart, graph, or another type of visual presentation. Choosing which data visualization tool to use largely depends on the type of data being worked with and the objective for using the data with other factors to consider when choosing a free data visualization tool. It assists employees in making more informed decisions by offering easy-to-understand visual representations of data. Data presented in a visual format is easier to interpret and allows people to gain insights more rapidly. Visualizations might also help you express your findings more effectively. The best tools also can output an array of different chart, graph, and map types. There are cost considerations. While a higher price tag does not necessarily disqualify a tool, the higher price tag has to be justified in terms of better support, better features, and better overall value. It is the process of graphical representation of data in the form of geographic maps, charts, sparklines, infographics, heat maps, or statistical graphs. Visuals allow data scientists to summarize thousands of rows and columns of complex data and put it in an understandable and accessible format. By bringing data to life with insightful plots and charts, data visualization is vital in decision-making processes. Data visualization tools, incorporating support for streaming data, AI integration, embeddability, collaboration, interactive exploration, and self-service capabilities, facilitate the visual representation of data. The features of each tool vary, but at their most basic, they allow you to input a dataset and graphically alter it. Most, but not all, come with pre-built templates for creating simple visualizations.? There are two types of software that you will most likely encounter: those that are easy to use and those that are difficult to visualize data. Some include good documentation and tutorials and are constructed in user-friendly ways. When dealing with data sets that include hundreds of thousands or millions of data points, automating the process of creating a visualization, at least in part, makes a designer’s job significantly easier. Data in its raw form is very messy to understand and make sense of this is why data needs to be sorted, organized, and visually presented in a way that it makes sense. This is where data visualization comes in handy. Data visualization techniques include knowing your audience, understanding your goals, choosing the right chart for your audience and dataset, using the correct layout, including comparisons, telling a tale using the data, and using the right data visualization tool. Some Types of data visualization, Bar graph, Pie chart, Heat map, Statistical graph, Dot distribution map, Word cloud, Treemap. There is Gigasheet that allows to preprocess your spreadsheet data. And it doesn’t matter if your spreadsheet has millions or billions of rows; Gigasheet supports gigantic datasets, unlike Excel or other spreadsheet software. Gigasheet is a big data cloud spreadsheet platform that supports spreadsheets with billions of rows. No matter how big your file is, you can easily open huge CSVs online and explore data without any technical challenges, including filtering, grouping, enrichment, and visualization options to make sense of your data.?

Tableau: The public version of Tableau is free to use for anyone looking for a powerful way to create data visualizations that can be used in a variety of settings. It helps users create different charts, graphs, maps, dashboards, and stories for visualizing and analyzing data, to help in making business decisions. Tableau has a lot of unique, exciting features that make it one of the most popular tools in business intelligence (BI).?

Microsoft Power BI: is used to find insights within an organization's data. Power BI can help connect disparate data sets, transform and clean the data into a data model and create charts or graphs to provide visuals of the data. All of this can be shared with other Power BI users within the organization. The platform automatically pre-selected relevant data (the power of AI) and generated interactive charts. Microsoft Power BI allows users to me to create different types of visuals around different fields and display them on a single dashboard.?

D3.js: It uses HTML, SVG and CSS to create graphics from data, for example generating a table in HTML from data. Using animated transitions and high performance, you can easily visualize data in bar charts and graphics, support large amounts of data, and enjoy dynamic interaction and animation in a 3D environment with large amounts of data. You can associate operations (updates, additions, and deletions) with nodes to improve performance. You can build new functions using the function factory, as well as using the graphical primitives included.??

DataWrapper:?It is free and easy to use for non-designers. If you just want to make a nice chart or map, try diving in with any data you have at hand. It is done by Copying your data from the web, Excel, or Google Sheets. You can also upload CSV/XLS files or link to a URL or Google Sheet for live-updating charts. Choose from many chart and map types with one click. Then customize and annotate your chart to make it more effective. The tool allows you to create basic interactive data visualisations, including pie, line, bar charts and maps.?

Infogram: A notable feature of the tool is the dashboard template library. These layouts many visualizations in one place, perfect for tracking company data and finding trends. This tool is also good for content creators, students and journalists looking to visualize a piece of information.?It is also the perfect tool for anyone who needs a word cloud created with real data.? Infogram provides pre-built templates to help you jump-start the process of creating data visualizations. It also includes features that allow you to make your visualizations and reports interactive. It Works on desktop and mobile.??

Sisense: It?uses artificial intelligence and machine learning to analyze data. The platform allows users to customize their analytics dashboards and data visualization by industry and by a user's role within a business, respectively. It embeds analytics seamlessly into any workflow. Sisense excels in aggregating data from various sources, enabling robust data analysis.? The platform's intuitive design facilitates easy navigation and use, even for those with limited technical expertise.?

Google Charts: It is a free data visualization tool from one of the most familiar names in the business world (and the world at large, for that matter). Google Charts is a cloud-based software tool that lets businesses easily create a wide range of data visualizations, including charts, graphs, maps, tables, and more. Google Charts is a good tool for small businesses because of its hard-to-beat price (free) and its association with a brand most businesses already have a relationship with. Google Charts provides a gallery that shows all the available chart types to choose from. You can select the data format that best fits your needs, then customize it with your own data. The main catch is that to use it requires some basic knowledge of coding and data science.?

Ember Charts: It is built on Ember.js and d3.js. It allows users to create the following charts: time series, pie, scatter, stacked pie, horizontal bar, vertical bar. It’s customizable with several charting features.

FusionCharts: It is 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 their thoughts on best practices in chart interactivity and presentation. It is highly customizable and extensible. You can add legends, labels, tooltips, and mouseover effects. You can also roll your own charts by extending our Chart Component class – get labels, automatic resizing, and reasonable defaults for margins, padding, etc.?

?Plotly: It is an open-source module of Python that is used for data visualization and supports various graphs like line charts, scatter plots, bar charts, histograms, area plots, etc. Plotly produces interactive graphs, can be embedded on websites, and provides a wide variety of complex plotting options.?

Zoho Analytics: It is an analytics platform built to bring data from various sources together in one place. This can make it easier to see the big picture of your business. Zoho Analytics easily connects to many of the data sources small businesses commonly use, including Microsoft Office products, Mailchimp, and QuickBooks. In addition to enabling users to create data visualizations like charts, graphs, and widgets, you can incorporate those visualizations into custom dashboards and reports.??

Looker: It is a simple, browser-based data visualization tool that allows developers to select, customize and create diverse interactive visualizations, as well as graphs and charts. The visualizations and models are indeed easily customizable - also for beginner programmers with limited SQL knowledge. Looker is straightforward and easy to navigate. In addition, it can be integrated with big data databases and platforms. The downside is that the simple platform doesn’t offer much flexibility.?

Qlik View & Qlik Sense: It will certainly help with the discovery efforts. The latter is an advanced, AI-powered platform that, in addition to visualizations, offers:?Mobile analytics, Reporting, Data modeling, Advanced governance features, Interactive dashboards which helps businesses to uncover various patterns. At the same time, the tool can be used by both expert and beginner data analysts. Qlik view is it is predecessor, also a BI analysis tool, but it offers fewer features. On the downsides, QlikSense has a steep learning curve, as its workflows are sophisticated, and it uses many and large data sources for analytics. ?

ChartBlocks: offers an online chart-building tool that lets you import your data, design a chart, and then share it with ease. No coding is required to enable users to build charts via a simple designer. You can also choose from dozens of different chart types and pull data from almost any source. ChartBlocks supports creating charts that pull data from multiple sources as well. The tool touts a data import wizard that takes you through the entire process step-by-step. Chart blocks is a cloud-based data visualization tool for SMB to large companies. The platform offers different chart types for your data and contains pre-made templates with editable sizes, colors, fonts, grids, and legends. ?

JupyteR: It allows to share documents that, in addition to different types of visualizations, contain live code, equations or narrative text. The solution is used by organizations like IBM, Google or Berkeley in machine learning, data transformation, data cleansing, numerical simulation and many more functions. The Jupyter project features JupyterLab (an interactive development environment), Jupyter Notebook (an app dedicated to sharing computational documents) and Voilà (a dashboard for presenting the documents). The only downside of the tool is lack of support for collaboration.?

Chart.js: Another good open-source data visualization tool is Chart.js. Its vast community of contributors is certainly one of its greatest advantages. Chart.js offers highly responsive charts (there are eight different types: line, bar, bubble, scatter and more) displayed in the browser. It has a solid ecosystem with wrappers for Vue, Ember, React, Omi, Angular and more.?

Visme: It is an all-in-one visual communication tool that lets users create presentations, infographics, reports, social graphics, and more. The tool features more than 40 different chart and diagram types bar graph, pie chart, flowcharts, diagrams, line graphs, histograms), as well as live data integration and an easy-to-use graph maker. Graphs can be easily shared, downloaded, or embedded as well. Visme touts a free library of chart templates, millions of stock photos and icons, the ability to customize brand fonts and colors, and a drag-and-drop interface.?

Cyfe: It offers a business dashboard creator that lets you monitor and visualize important data (social media, analytics, marketing, sales, support) in one place. The product features a number of pre-built dashboard templates that can be modified to meet specific needs. Users can also pull data from popular sources, and Cyfe touts more than 100 integrations and 250 metrics out-of-the-box. There are automated reports and widget alerts as well, which can be downloaded or scheduled. Cyfe provides agencies and marketers with dashboards to prove ROI, combine data sources, and visualize trends. ?

Grafana: With the free option, engineers can display, query and examine logs, metrics and datasets from any location. The Grafana Enterprise Stack, which is a paid version, permits companies to analyze company data sources, benefit from centralized authentication and expand on permissions as required. The team also offers onboarding for core staff and 24/7 support. Grafana also has a cloud platform for logging and metrics, powered by OpenSaas. If you choose this quick, fully-controlled and easily-accessible option, you’ll be able to enjoy all the features of Grafana while Grafana Labs will host and manage the software for you.?

Easy Insight: It offers a cloud business intelligence tool that enables you to create reports and dashboards and visualize data through charts and tables. The product also enables the combination of different services in databases so users can create a single view of customers across multiple apps. Easy Insight also touts the ability to create and update data right from your reports, as well as drill from charts into detailed data and click right back to the source.?

??

Whatagraph: is a cross-channel reporting tool that helps businesses to track, measure, and analyze marketing performance with clients and teams.is a great solution for those who are building reports for clients. It has an easy-to-use and easy-to-understand format. It helps bring together data and automatically makes graphs and charts for your use. Mian features are Data Visualization, Data Automation, Custom Data Reporting, Data Source Centralization, Integration, Potential Drawbacks, High price for base plan, almost double of what competitors charge.

DataBox: It is an advanced business analytics platform that helps companies track their performance under one roof. It offers over 70+ integration options – so whether you want to load data from Google Sheets or Facebook, Databox allows you to import your data in no time.?

Exago: It is completely web-based and a prime embedded solution for software companies looking to provide ad hoc reporting, dashboards, and business analysis to their clients. Integration with web-based SaaS and or on-prem applications allows non-technical users to create reports and dashboards with no IT intervention. Exago BI offers a wide variety of advanced features including interactive data visualizations, geo-maps, drill-downs, user-defined formulas, and data merging into predefined templates.?

Golden Software: It? is a full-function graphing application for scientists, engineers, and business professionals. The product touts more than 80 unique and customizable 2D and 3D graph styles. Graphs can be enhanced with legends, titles and labels, summation plots, graph magnifiers, and statistical reports. Grapher also includes extensive analysis charts, tools, and statistical features to identify trends, find new insights and provide a holistic view of data.??

Geckoboard: offers a data dashboard product that makes it easy for you to share important data, metrics and KPIs clearly. The tool helps to streamline data from spreadsheets, databases and other tools for presentation purposes. Real-time metrics and more than 60 integrations make it easy to create live dashboards. Geckoboard also touts an unmissable summary of key performance indicators. Users can easily share dashboards with team members through email, chat, documents, or bookmark them for quick access.?

Grow: It is a no-code, full-stack business intelligence and data visualization tool. The product features data integration capabilities that enable users to connect, store, and blend data from hundreds of data sources. Grow then provides the ability to marry and transform disparate data sources so you can filter, slice, and explore different visualizations. The built-in data explorer defines how you want to navigate data via charts and graphs which are displayed in metrics and dashboards.?

GoodData: It provides creation, delivery, and automated management of analytics at scale that allows organizations to deliver insights to customers, partners, and other users. GoodData is designed to support any analytical product roadmap and enables customers to offer their partners any data source, visualization, interaction pattern, or integration they need. The tool offers analytics and expertise to operationalize intelligent decisions within business applications and business processes.??

Flot: It is built using pure JavaScript as a plotting library for jQuery created for engineering and scientific applications. It has multiple plugins for plots, drawings, labeling, grids, axes, and more.?

iDashboards: offers a data visualization platform for customers in a wide array of vertical industries. The product features customizable and flexible dashboard tools that integrate with popular data sources. iDashboards lets users quickly view and analyze critical performance metrics as well. Dashboards can be created on any device while the solution touts hundreds of chart options for data visualizations of any kind. Users can share dashboards internally or publicly to keep the back-end secure. Role-based permissions and other integrations are also available.?

Klipfolio: offers a custom dashboard and reporting tool that combines formulas, functions, and data modeling to help users build actionable reports. Customers can choose from pre-built visualizations in the Klip gallery or incorporate proprietary branding with custom themes. Klipfolio enables the sharing of dashboards and reports via view-only links, PDFs, scheduled emails, or Slack messages. The solution provider offers free add-on products like PowerMetrics (lightweight data analytics) and MetricHQ (online dictionary of metrics and KPIs) as well.?

Panintelligence: It is a three-in-one solution that combines business intelligence with simple reporting and predictive analytic capabilities via self-service dashboards. Users can white label the software and embed it into existing SaaS products or hook it up to cloud data warehousing and ETL tools for a more seamless experience. pi also centralizes various sources of data and uses AI analytics and automation to make insights readily available while dashboards can be completely customized for each client without the need to write code.???

Toucan:? It offers a data storytelling platform designed for the non-technical decision-maker. The product lets users communicate actionable insights via a built-in no-code framework. Toucan Toco adapts to usage habits by deploying apps to all devices quickly without additional work, installation, or post-deployment maintenance. Included collaboration capabilities can be utilized via native integrations with Teams and Slack. The tool also touts an adaptive design and the ability to embed charts to websites or other platforms.?

Candela: it is an open-source suite of interoperable web visualization components for Kitware’s Resonant platform. Candela focuses on making scalable, rich visualizations available with a normalized API for use in real-world data science applications. Files for Candela are stored on Github where they can be downloaded. Mostly written in Javascript, Jupyter Notebook and HTML.?

Colorbrewer: It is an online tool designed to take some of the guesswork out of this process by helping users select appropriate colour schemes for their specific mapping needs by considering: the number of data classes; the nature of their data (matched with sequential, diverging and qualitative schemes). It is not a standalone data visualization tool, it is used as a diagnostic tool for evaluating the individual color schemes to be used on a difficult map. The RColorBrewer package is an unavoidable tool to manage colors with R. It offers several color palettes.?

Cytoscape: It is a Java-based open-source platform for bioinformatics analysts. It’s used to support biology, genomics, and proteomics data. It can create visual maps, can integrate global datasets, and load molecular and genetic data and different formats. It is an open-source software platform for visualizing molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.?

Dygraphs: It is a Javascript-based tool used for interactive charts. It allows users to mouse over a graph or chart and view each value with the option to zoom in. It can handle very large sets of data and supports error bars. Very customizable with an active community to support it. It is a fast, flexible open-source JavaScript charting library. It allows users to explore and interpret dense data sets.?

Visualize Free: All you need to do is sign up, confirm your registration, and upload your spreadsheet. Once you perform these steps, you can start working your magic. And the best part is – they do not even need to register. All you?must do was upload my spreadsheet to the platform take care of the rest. You can also make your visualization shareable by sharing the URL with whomever you want to.?

Metabase: It is also open-source and includes a generous free plan that suffices for most companies to visualize their data in an effective and intuitive way. On top of that, its design is thoughtful and minimalistic, and it’s packed with user-friendly features that allow people who aren’t familiar with SQL to build dashboards and reports without it.?

Gephi: It is an open graph viz platform that is used mostly by data analysts and scientists. It offers poster creation, biological network analysis, social network analysis, link analysis, and exploratory data analysis. It looks a lot like Photoshop but is used for graphing data and currently runs on Windows, Mac OS X, and Linux. The purpose is to spot patterns, come to better data conclusions, and locate outliers. It is an open-source software for visualizing and analyzing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. You can use it to explore, analyze, spatialize, filter, cluterize, manipulate and export all types of graphs.??

Google Charts: It is free and makes it easy to show live data. It’s integrated into Google Docs to transform data into interactive visual data by just hitting the Insert option in Sheets, Docs, and Slides. With over 30 chart types, there are many options to choose from and a simple interface that anyone can use. It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response, the service sends an image of the chart.?

Kibana: It is a Javascript-based tool used to visualize Elasticsearch data and it also navigates the Elastic Stack. It has many visualization features, management tools, security, elastic maps, logs, and metrics. It is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases. It offers powerful and easy-to-use features such as histograms, line graphs, pie charts, heat maps, and built-in geospatial support.??

Leaflet: It is JavaScript-based code for interactive mapping visualization. It’s used for mobile-friendly interactive maps. Leaflet is designed to be easy to use with high performance. It works across all major desktop and mobile platforms. Plugins can be used with the code to create tile and image layers, overlay data, overlay displays, overlay interactions, map interaction, and more. It is used to build web mapping applications.?

?OpenRefine: (formerly Google Refine) is an open-source application written in Java to refine and clean up data then transform it into a usable format. It will find systematic errors, inconsistencies, and even duplicates. It is an open-source desktop application for data cleanup and transformation to other formats, an activity commonly known as data wrangling. It is similar to spreadsheet applications, and can handle spreadsheet file formats such as CSV, but it behaves more like a database.?

?Palladio: It is a web-based visualization tool that uses data from networks and maps. Used mostly for data that has many attributes, is structured, and information is needed regarding time and space relationships. It is? is a web-based visualization tool for maps, network graphs, and data tables.???

ParaView: It is an open-source multi-platform visualization tool written in Python, Fortran, C, and C++. It creates scientific visualizations using qualitative and quantitative methods. It is an open-source multiple-platform application for interactive, scientific visualization. It has a client–server architecture to facilitate remote visualization of datasets and generates level of detail models to maintain interactive frame rates for large datasets.?

PathVisio:? is a Java-based pathway editor, analysis, and visualization software. It allows drawing, editing, and analyzing biological pathways. There are currently 13 plugins to use with PathVisio. It is a free open-source pathway analysis and drawing software. It allows drawing, editing, and analyzing biological pathways. Visualization of ones experimental data on the pathways for finding relevant pathways that are over-represented in your data set is possible.?

?Polymaps: It is an SVG and JavaScript-based tool that allows users to show multi-zoom datasets over maps. It loads quickly and is used to display detailed map views. CSS can be used to further customize the look and feel of the data. Polymaps provides speedy display of multi-zoom datasets over maps, and supports a variety of visual presentations for tiled vector data, in addition to the usual cartography from OpenStreetMap, CloudMade, Bing, and other providers of image-based web maps. Because Polymaps can load data at a full range of scales, it is ideal for showing information from country level down to states, cities, neighborhoods, and individual streets. ?

RawGraphs: is an open-source visualization tool used to display complex data in an understandable format. It was created to bridge the gap between various spreadsheets and vector graphics editors. Easy to upload data and just choose a visual model then start mapping and customizing. It is an open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone.??

Timeline: It is used to make amazing visual interactive timelines. Easy to use for anyone to use with just a basic spreadsheet in literally 4 steps. There is an option to create custom installations for those with JSON skills. It is a visual representation of a chronological sequence of events along a drawn line that helps a viewer understand time relationships.?

?VTK: (The Visualization Toolkit) is mostly used for 3D graphics, data modeling, 2D plotting, image processing, and scientific visualization. It can be used with different types of algorithms and more advanced modeling data. It was created using the C++ class library along with Kitware, Python, Java, and Tcl/Tk. It is an open-source software system for 3D computer graphics, image processing and scientific visualization. VTK is distributed under the OSI-approved BSD 3-clause License. It supports a wide variety of visualization algorithms and advanced modeling techniques, and it takes advantage of both threaded and distributed memory parallel processing for speed and scalability, respectively. VTK is designed to be platform agnostic.?

Chart Studio: It Makes charts, presentations and dashboards with this flexible software. You can perform your analysis using JavaScript, Python, R, Matlab, Jupyter or Excel, and there are several options for importing data. The visualization library and online chart creation tool allow you to make great-looking graphics. It is a free and open-source tool to create a wide range of interactive charts. They go from simple charts such as bar and pie charts to 3D and distribution graphs, such as box plots. One of the significant advantages of Chart Studio is its web-based builder, so there is no need to download any software. Another useful feature is the creation of interactive dashboards based on charts you created beforehand.?

DataHero: It enables you to pull together data from cloud services and create charts and dashboards. No technical abilities are required, so this is a great tool for your whole team to use. It is is a leading cloud business intelligence software platform that specializes in data visualization and data dashboards. Its users create custom charts and dashboards using data imported from multiple cloud services and spreadsheets. The system utilizes a drag-and-drop interface to enable all users to create dashboards and analyze data without requiring coding or specialist knowledge.?

RAWGraphs: It is an Open, customisable, and free to download and modify, RAWGraphs lets users create vector-based data visualisations. Data can be safely uploaded from apps to computers, plus it can be exported as an SVG or PNG and embedded in your webpage. The data visualization framework built with the goal of making the visual representation of complex data easy for everyone. It ia No-Code Data Visualization Tool.???

Dygraphs: It is a fast, flexible open source JavaScript charting library that allows users to explore and interpret dense data sets. It's highly customizable, works in all major browsers, and you can even pinch to zoom on mobile and tablet devices. The dygraphs package is an R interface to the dygraphs JavaScript charting library. Dynamic graphics which leads to an easy way to create interaction between user and graph. The dygraphs are mainly used for time-series analysis.?

ZingChart: It is a JavaScript charting library and feature-rich API set that lets you build interactive Flash or HTML5 charts. It offers over 100 chart types to fit your data. ZingChart is a powerful JavaScript charting library that was built for superior performance with larger data sets. We offer more chart types, interactive features, and out-of-the-box functionality than other libraries, and we operate with no dependencies. This means that so long as you can execute JavaScript on your page, you can use ZingChart.?

InstantAtlas: It is a data viz tool with mapping, InstantAtlas is worth checking out. This tool enables you to create highly interactive dynamic and profile reports that combine statistics and map data to create engaging data visualizations. It removes the burden of data management from your analysts and ensures that users across your organisation and in partner organisations can access an up-to-date, single source of the truth. It is a suite of data, apps and services designed to enable the management, reporting and dissemination of large volumes of numerical data within ArcGIS Online and Portal for ArcGIS.?

Modest Maps: It is a lightweight, simple mapping tool for web designers that makes it easy to integrate and develop interactive maps within your site, using them as a data visualization tool. The API is easy to get to grips with, and offers a useful number of hooks for adding your own interaction code, making it a good choice for designers looking to fully customise their user's experience to match their website or web app. The basic library can also be extended with additional plugins, adding to its core functionality and offering some very useful data integration options. It provides a minimal, extensible, customizable, and free display library for discriminating designers and developers who want to use interactive maps in their own projects. Modest Maps provides a core set of features in a tight, clean package, with plenty of hooks for additional functionality.?

WolframAlpha: It is a "computational knowledge engine", the Google rival WolframAlpha is really good at intelligently displaying charts in response to data queries, without the need for any configuration. If you're using publicly available data, this offers a simple widget builder to make it really simple to get visualizations on your site.?

Better World Flux: It is Orientated towards making positive change to the world, Better World Flux has some lovely visualizations of some depressing data. It would be very useful, for example, if you were writing an article about world poverty, child undernourishment or access to clean water. This tool doesn't allow you to upload your own data, but does offer a rich interactive output. It is a beautiful interactive visualization of information on what really matters in life. It visually communicates the world state in terms of standards of living and quality of life for many countries and how this has changed, and mostly improved, over a period of up to 50 years. This site is a tool for building a consensus, telling a story and sharing it, all whilst raising awareness for the UN Millennium Development Goals.?

Domo: It is the Business Cloud. It is a mobile, cloud-based, social, community-driven business intelligence platform with the power to transform the way you manage your business. Domo makes your data accessible to all your people by bringing it together in one place, no matter what the data is or where it lives. See how Domo is the operating system for your business that makes it possible for everyone in the company to run the business right from their phone. It's a commonly used tool and is consistently mentioned in industry reports about business intelligence and analytics. It is easy-to-use visualizations and dashboards, Customizable, real-time, interactive dashboards that anyone can create. Dashboards aren't real-time and require IT or BI expertise.?

Chart: It is a tool you can use to communicate information graphically. Including a chart in your document can help you illustrate numerical data like comparisons and trends so it's easier for the reader to understand. Charts help you visualize your data in a way that creates maximum impact on your audience. Learn to create a chart and add a trendline. You can start your document from a recommended chart or choose one from our collection of pre-built chart templates.

Dundas BI: It is Designed for white-labeled and embedded analytics scenarios, Dundas BI allows you to diversify and enhance your application with advanced data prep, interactive dashboards, reporting and visual data analytics to improve customer satisfaction, close more deals, expand, and forge deeper relationships, and make more money.?

Visual.ly: It is a community platform for data visualization and infographics.? is structured both as a showcase for infographics as well as a marketplace and community for publishers, designers, and researchers. The site allows users to search images through description, tags, and sources in a variety of categories, ranging from Education to Business or Politics. Users can publish infographics to their personal profile, which they can subsequently share through their social networks. Visual.ly maintains a team of data analysts, journalists, and designers that create infographics and data visualizations using the Visual.ly tools. They are currently developing a tool that allows anyone to create and publish their own data visualizations. Through this tool, users will be able to gather information from databases and APIs in an automated service (meaning that users only need to specify the kind of information they want to visually display) to produce an infographic. Visual.ly’s first tool, the Twitter Visualizer tool allows users to input the Twitter handles of two people, and then generates an infographic comparing the hobbies, number of followers and occupation of the two accounts. CBC used this feature to compare leading politicians.?

??IBM Watson: It was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering. It is a data analytics processor that uses natural language processing, a technology that analyzes human speech for meaning and syntax. IBM Watson performs analytics on vast repositories of data that it processes to answer human-posed questions, often in a fraction of a second.?

Highcharts: It is a Javascript charting library designed to help developers add interactive charts to any platform. With our wrappers, you can also implement Highcharts using the most popular programming languages (. Net, PHP, Python, R, Java), iOS and Android, and frameworks like Angular, Vue, and React. Developers love Highcharts for its well-documented API and documentation. Every feature, option, and type chart have a detailed description with an accompanying demo. For developers of all skill levels, this translates into minimal time spent creating and customizing charts.??

jqPlot: It is an open source jquery plugin to create charts and graphs. The most basic jqPlot chart takes a series of data and plots a line. No options need to be supplied. Data is passed in as an array of series. A series can be either an array of y values or an array of [x,y] data pairs. If y values only, x values are assigned like 1, 2, 3, ... Note, for this plot you don't need any plugins.?

Datapine: It is an all-in-one business intelligence and data visualization tool designed with a user-friendly interface that keeps everyone involved in the analytical process- without the need for technical skills. With a set of powerful visualization features such as an intuitive drag and drop interface, interactive dashboards and customized reporting, users can interact with their data on a deeper level and build an engaging data story with more than 25+ chart types and 80+ dashboard templates. This SaaS BI solution helps companies to unify all their business data into one central point of access in order to perform cross-data source analysis and make data-driven business decisions anytime and anywhere. Additionally, datapine offers customized on-premises solutions.?

??

??

??

??

??

??