Cloud-based visualization tools

It is unique for its ability to throw up clean and interactive graphical charts from data sets supplied by the users. Here are my reasons for considering Google Charts as one of the best data visualization software in the market presently:. Find Google Charts on Github here. One of the best open-source data visualization tools in the market right now, dygraphs is best suited for creating interactive charts.

You can hover a cursor over individual values to highlight them. You can also zoom in on any point by clicking and dragging with your mouse. Again, you can pan out and relate with data strings in several other ways. Other reasons why I consider this tool as one of the best open-source data visualization software programs today are:. Here is the dygraphs repository on GitHub.

RapidMiner is a suite of software programs on the cloud. The entire suite is used for shoring up a sequential data analytics environment. In-depth data visualization is only a part of the suite. There are many reasons why I think that RapidMiner is one of the most favored open-source data visualization solutions out there right now. Here they are:. Here is the entire RapidMiner suite on GitHub. Like Google Charts, Chart,js is yet another service you can use to insert clean data outputs such as charts and graphs into your web pages.

It has many other features that make me consider it as one of the best open-source data visualization tools in the market as I write this. Built on D3. Here are other features and functionalities of this tool that merits it a place among the best open-source data visualization tools of today:. RAWGraphs is deployed as an open-source web app on the Apache 2. You can contribute to it here on GitHub. Datawrapper is yet another open-source data visualization tool I highly recommend.

It is free to use. This tool has many features and functionalities that enable easy data sourcing, display, and analysis. Every day, tons of data are generated by both humans and devices. More people already realize the importance of leveraging data to make better business decisions.

Because of the increasing demand for high-quality data visualization software, a lot of options are now available on the market. To help you in your search for the best data visualization software, you can start by checking out these tools:. Shapes, colors, and other visual elements help people interpret information and data faster and easier.

The primary purpose of data visualization systems is to make big data comprehensible to everyone, even those who are not data and tech-savvy. To make this possible, data visualization software have these features in common:. Location intelligence makes for faster data mapping.

When harnessed properly, human visual processing can efficiently help detect variations, changes, patterns, and relationships in even the most complex datasets. Data visualization software is designed to help people and organizations make that very aspect work for them. Data visualization software will be a part of business intelligence and related processes for what looks like forever.

Here are the most prominent ones currently:. Various visualization options and tools lead to effective data storytelling. Data visualization can significantly help any organization, no doubt about that.

Develop robust and accurate data models and reduce errors while understanding the relationships, behaviors, and extensions of different LookML objects. As with many other vendors, you will need to send a request to receive your quote. Providing a modern API to integrate your workflows, Looker allows you to explore your data to intrinsic detail and bring your stories to life through compelling visualizations while compartmentalizing the dashboards for different uses.

Create responsive, scalable, and great-looking charts while availing of the simple handling, great flexibility while using clear separation of concerns styling with CSS and controlling with JS , SVG for illustration, and more. The app is fully responsive and DPI independent, which results in GUI being displayed at a consistent size regardless of the resolution of the screen.

The configuration override mechanism based on media queries helps you conditionally control the behavior of your charts when necessary. Offering great response configuration to media queries and high flexibility for use in the separation of concerns, Chartist. To make the networks' manipulation on web pages as smooth and as fast as possible, Sigma. You can add your functions directly to your scripts and render the nodes and edges how you want them to be.

Through the Public API, you can modify data, move the camera, refresh the rendering, listen to events, and more. Innovatively providing data visualization services, Qlik will help you attain data from various sources quickly while automatically maintaining data association and supporting numerous forms of data presentation.

Capture large volumes of data and generate reports quickly and automatically while extracting valuable insights from transparent reporting functionalities and identify trends and information to help you make best-practice decisions. Get an understanding of the information quickly through powerful global search and selections with interactive dashboards. Combine, load, visualize, and explore your data, and activate the assistance from the insight advisor for chart creation, association recommendation, and data preparation.

Allowing you to discover important insights through conversational analytics and insight advisor, rapidly develop custom apps, new visualizations, or extensions, and embed fully interactive analytics within the apps and processes, Qlik will let you visualize with clear intent and context through the most engaging graphs.

Designed specifically for mapping, Polymaps is a free, open-source JavaScript library for creating interactive, dynamic maps, using CSS to design and SVG to display your data through numerous types of visual presentation styles. You can use the CSS mechanism to customize the visuals of your maps, after which you can easily embed them onto any website or apps. The software supports large-scale and rich data overlays on interactive maps and SVR-rendered vector files, along with powerful graphical operations like compositing, geometric transformations, and image processing.

The software provides a factory method for constructing the required objects internally which results in shorter code and faster execution when compared to the traditional JS constructors. Polymaps is known for its speed when loading large amounts of data in full range, allowing it to run compositing, image processing, and geometric transforms, as well as supporting and processing of rich data on dynamic maps. Microsoft's Power BI is a data visualization and business intelligence tool combined into one that allows you to convert data from various data sources into interactive, engaging, and story-presenting dashboards and reports.

Providing reliable connections to your data sources on-prem and in the cloud, Power BI is ready to equip you with data exploration through natural language querying and real-time updates on the dashboard. Save time and make data prep easier with modeling tools, and reclaim hours in a day using the self-service power query, ingestion, transforming, and integration tools. Dig deeper into data and find patterns that lead to actionable insights, and use features like quick measures, grouping, forecasting, and clustering.

Activate the powerful DAX formula language and give advanced users full control over their models. In Power BI, you can handle everything from managing reports using SaaS solutions to engaging in data exploration using the natural language query while accessing reliable data sources, which you can easily convert into interactive dashboards and reports that you can share across the whole organization.

Starting with the most familiar one, column charts are a time-efficient method of showing comparisons among different sets of data. A column chart will contain data labels along the horizontal axis with measured metrics or values presented on the vertical axis. With column charts, you can track monthly sales figures, revenue per landing page, and similar information, while you can use the pie charts to demonstrate components or proportions between the elements of one whole.

You can find many more chart types like the Mekko, bar, line, scatter plot, area, waterfall, and many more. Plots are data visualization methods used to distribute two or more datasets over a 2D or 3D space to represent the relationship between these sets and the parameters on the plot.

Scatter and bubble plots are some of the most commonly used data visualization methods, while the more complex box plots are more frequently utilized for visualizing relationships between large volumes of data.

A bubble plot is an extension of the scatter plot used to look at the relationships between three numeric variables.

Box plot is a data visualization method used for expanatory data analysis, visually displaying the distribution of numerical data and distortion through displaying the data quartiles and averages. Maps allow you to locate elements on relevant objects and areas, which is where we can start to divide them into geographical maps, building plans, website layouts, and the most popular map visualization types include heat maps, distribution maps, and cartograms.

Heat maps are graphical representations of data where values are depicted by different colors. Distribution maps are data visualization arrangements used to indicate the distribution of a particular feature in an area, and they can be qualitative that explore qualities or characteristics, quantitative where the value of data is shown in the form of counts and numbers.

The distribution of continuous variables like temperature, pressure, rainfall are represented by lines of equal value. Diagrams are used to illustrate complex data relationships and links, and they include various types of data in one visualization.

They can be hierarchical, network, flowchart, Venn, multidimensional, tree-like, etc. Matrix is one of the advanced data visualization techniques that help determine and process the correlation between multiple continuously updating datasets. Before getting into the specific functionalities, let's establish the fundamentals required when purchasing a data visualization tool.

Any data visualization software you choose must have easy-to-use features and a user-friendly interface for the less technically skilled employees.

While there are code-heavy data visualization tools packed with advanced features, these tools need to be well balanced if your team consists of both seasoned IT users and less-experienced workers.

Tableau has a steeper learning curve than other platforms on this list, for example, but this is balanced out with an extremely user-friendly design and a l arge community of users.

That's not to say Tableau doesn't require substantial training, but the completeness of the tool in all aspects makes the training process worth the effort. Similarly, Sisense will appeal to seasoned BI users while potentially causing frustration with the newcomers. Apart from the natural language query in the third-party apps, Sisense's UI doesn't match the level of user-friendliness needed to satisfy less-knowledgeable users.

Online training systems with well-organized support teams have helped battle this significantly. Most importantly, Sisense provides phenomenal data visualization service and equips their target intermediate and highly-skilled business analysts with transparency, and lifts most of their burden without having to buy additional tools. Quality data visualization software will equip you with the capability to connect with or extract important information from external sources when you encounter data absence problems.

Thanks to D3. All this flexibility comes with additional benefits of the tool being extremely fast, supporting large datasets and dynamic behaviors for interaction and animation.

Adding on the themes in the previous paragraphs, D3. Now that you have determined the fundamentals you look for in the tool, you should turn inward and see what your team can offer to the tool.

Not only will you avoid sudden training costs during the learning process, but knowing the limitations of your employees will help you select a data visualization tool to get you the results you strive for and challenge the employees to develop faster. Do you want a tool that will give you access to an enormous collection of data connectors and visualizations, allow you to create maps and public-facing visualizations that stand out, generating the most accurate forecasts and statistical summaries?

Everyone looking for a data visualization solution wants those things, and there is no better tool today to help you master self-service business intelligence like Tableau. Infogram is a web-based data visualization and infographics platform. It permits you to make and share infographics, maps, and charts by taking all the user data and converting it into compelling graphics.

After that, you can further share, embed, or publish those graphics wherever you want. Moreover, the tool is effortless to use and is suitable for government bodies, marketing teams, and even students. Infogram is most suitable for organizations that work with sales and marketing since it allows you to display your targets with the help of charts and templates.

Infogram also offers a freemium plan for essential features. ChartBlocks is an innovative data visualization software that enables you to import your data within a fraction of seconds. Moreover, you can directly update your data right away in the ChartBlock app and do the necessary import.

It has a certain high level of tools. After this, you can easily embed the charts to your website or any other social media. The first plan is entirely free of cost, where you get up to 50 active charts. Datawrapper is another excellent data visualization software on this list.

Your target audience should be able to understand whatever type of chart you create. And Datawrapper solves this issue automatically. All the charts, tables, and maps you create with DataWrapper are easily readable on all devices. The free plan also allows you to export your chart, tables, and maps into png format. Plotly not only helps you with creating graphics, but it also provides in-depth analytical reports to help you keep track of the data. It also comes with an easily customizable user interface.

On top of that, it helps you export the reports easily and works superbly well in the business intelligence field. If you require basic features, then you can subscribe to the freemium plan. Visually is a community platform for data visualization and infographics.

It permits users to search for various images through tags and descriptions. You can also publish and embed graphics directly to your social network profiles. It works in three simple steps. The pricing depends upon the number of users.

Also, the tool is open to use but for a limited duration. It supports declarative programming and helps you manipulate documents based on data. Other than this, it provides unique functions, such as code reusability, a wide variety of curve generating functions, help in associating data to an element in the HTML pages, and more.

It is best suited for those firms that need to create web pages and websites. You can also build excellent apps with the help of this data visualization tool. The Ember Charts is more like a charting library built with the Ember. With Ember Charts, you can make graphics like time series, scatter, pie, and bar charts. Moreover, it helps you to easily extend and modify the charts since it offers great customizability options.

Ember Charts is suitable for your organization if you require statistical graphs pretty often. The NVD3 allows you to build reusable charts along with chart components for d3. If you prefer neat and customizable data charts, then you might want to try out NVD3. The Google Charts is another great data visualization tool on this list. It also gives you more control over the charts you create and will enable you to zoom the charts.