Top Free Data Visualization Tools
Last Updated :
29 May, 2024
In any business, data plays an important role in making informed decisions. Understanding the patterns, trends, and results of your previous strategies with segregated data can feel daunting. That’s where a Data Visualization Tool steps in. It simplifies visualizing varied data for analysis and offers a dashboard to track various factors simultaneously.
Top Free Data Visualization ToolsIn this article, we will explore some of the Top Free Data Visualization Tools in 2024, their features, and how they can be used to enhance your data analysis capabilities.
Data visualization tools refer to software applications that convert valuable, diverse data inputs into appealing visual representations such as maps, graphs, and charts for seamless analysis. These tools help businesses and individuals to understand complex data sets, identify trends, and make informed decisions.
Tableau
Tableau offers a range of options, such as desktop applications, servers, hosted online versions, and even a free public option. While many fat import options are available, from Google Ads to Analytics data, Tableau is one of the most preferred tools by businesses. In addition, output options involve chart formats and seamless mapping capability. This means designers can easily generate colour-coded maps representing geographic-infused data in the standard format. Lastly, the public version of Tableau is free for users seeking to create data visualizations in various settings. Further, this tool offers an extensive gallery of infographics and other visualizations in the public version to aid individuals in creating unique data visualizations.
Benefits of Tableau
- Mapping capacity
- Range of data imports
- Multiple video tutorials
Features of Tableau
- It answers fundamental questions of users with specific data inquiries
- Explain why there are outliers in the dataset ( Outliers - data points that differ from other data points).
- It offers a self-service data preparation tool that generates data visualization based on the user’s instructions.
Microsoft Excel
Sounds quite obvious, but Microsoft Excel can play a crucial role in generating data visualization for decision-making. The tool launched in 1987 enables users to create charts, tables, and 20 other visualizations to give you an appealing overview to identify varied patterns and insights effortlessly.
Benefits of Microsoft Excel
- Users can personalize visualization using font, colour, and other features
- Since it comes with multiple Microsoft pages, so you don't need to install it separately
- Enables businesses to import or export data with various file types
- Available in macOS, Android, and iOS.
- It offers an effortless version of history
Features of Microsoft Excel
- By utilizing Microsoft Excel's features, users can use data visualization to generate models, perform thorough data analysis, and manage large-volume data sets.
- Entails inbuilt formulas
- Offers automated program to filter or organize diverse data effortlessly
Google Charts
Google Charts is a web-based tool that fosters the generation of simple data visualizations from small to diverse and massive datasets. Businesses or individuals can easily create visualizations to publish on websites using Google Charts. These visualizations can showcase growth or specific changes or represent results in an appealing format.
Benefits of Google Charts
- Users can utilize this tool to create varied types of visualization.
- It is user-friendly for beginners.
- Users can easily customize data visualization through CSS editing.
- Businesses can utilize the tool for data analysis from SQL databases.
Features of Google Charts
- It offers cross-platform functionality, which means visualization generated on Google Charts can be accessed on browsers like Mozilla Firefox, Safari, and Google Chrome.
- Offers interactive charts to interpret data inputs seamlessly
Microsoft Power BI
Microsoft Power BI is considered an advanced version of Microsoft Excel. Power BI enables businesses to generate data visualization individuals or through data-driven thorough reports.
Benefits of Microsoft Power BI
- Offer many chart templates and pre-set reports.
- Individuals can analyze data from Dynamic 365, SharePoint, Excel, Salesforce, Azure SQL DB, and more.
- Can be easily coordinated with Teams
- Assist businesses in generating interactive data visualization.
- Includes robust cyber security, which means data privacy isn't an issue
- The tool is supported for mobile devices and desktops.
- Include capabilities of machine learning.
Features of Microsoft Power BI
- Microsoft AI enables data visualization and data analysis to be prepared automatically.
- Businesses can access interactive data visualizations in real-time.
- Microsoft Power BI provides completely customizable dashboards.
Zoho Analytics
Zoho Analytics is one of the most preferred data visualization tools, with 2 million users. It is an application for employees, businesses, data analysts, and more.
Benefits of Zoho Analytics
- Offers a range of pre-set templates for data visualization
- Integrates with 500 applications like Google's Ads, Salesforce, and other social media platforms
- Companies can embed Zoho visualizations into website visuals with minimal to no code.
- Provides user-friendly video tutorials, product tours, and webinars to help users understand the features and data visualization with Zoho easily
Features of Zoho Analytics
- Individuals and businesses can seamlessly give additional authorizations to access or edit data visualizations.
- The Mobile BI app is available on iOS and Android versions.
- Zoho Analytics provides autonomous data-driven reports.
Datawrapper
Data Wrappers are user-friendly tools ideal for building charts, maps, and tables for websites. Although initially, Data wrapper developers built the tool for news websites, today, many businesses are adapting and utilizing this robust tool for seamless data visualizations.
Benefits of Datawrappers
- Users can generate multiple data visualizations with the free version.
- Beginners can efficiently utilize the tool for generating interactive data visualization, as multiple articles cater to how to use topics.
Features of Datawrappers
- The tool assists in building data visualization as colour-blind friendly
- The Datawrapper tool is mobile-friendly, which enhances accessibility
Fusion Charts
FusionCharts is known as an alternative to Google Charts. It enables users to generate data visualizations that can be successfully embedded into web pages. 28,000 businesses worldwide rely on this tool to interpret and analyze massive data sets.
Benefits of FusionCharts
- Provides 100 types of charts and 200 choropleth maps
- Includes user-friendly interface
- Users can easily import and export charts
- Seamlessly manages huge datasets
Features of FusionCharts
- Offers easy integration with JavaScript frameworks such as Ember, React, Angular, and jQuery
- Offers live data dashboard to track and interpret data inputs in real-time
- It is compatible with server-side programming languages like Ruby on Rails, Django, PHP, and Java.
Chart.js
Chart.js is an open-source library that offers simple yet flexible JavaScript charting for designers and developers. It is easy to use and provides a variety of chart types.
Benefits of Chart.js
- Lightweight and fast
- Highly customizable
- Supports 8 chart types
- Responsive and retina-ready
Features of Chart.js
- Animations and interactions
- Supports mixed chart types
Plotly
Plotly is an open-source graphing library that provides high-quality visualizations with a focus on scientific and technical use cases. It is highly customizable and supports interactive plotting.
Benefits of Plotly
- Extensive chart types
- Interactive plots
- Python, R, and JavaScript support
Features of Plotly
- High-quality visualizations
- Open-source and enterprise versions
Kibana
Kibana is an open-source data visualization dashboard for Elasticsearch. It provides powerful visualizations of data stored in Elasticsearch.
Benefits of Kibana
- Real-time summary and charting of streaming data
- Integration with Elasticsearch
- Extensible through plugins
Features of Kibana
- Geospatial data analysis
- Interactive visualizations
After exploring the features of Top free data visualization tools, you must be concerned about how to begin implementing accurate data visualization tools into your system and how to ensure enhanced decision-making process data presentation. We understand your worries, so we are listing below a few factors that will help you know how to use the right tool accurately.
- Select Ideal Data Visualization Tool: Select a data visualization tool that meets your requirements. Look for easy accessibility, a user-friendly interface, seamless data connectivity, a range of data visualization options, easy integration, and automated report access.
- Insert your Data: Input your data into a select data visualization tool, while most tools allow you to insert data into standard formats such as spreadsheets, databases, or more.
- Select the Right Type of Visualization: Choose the accurate type of data visualization based on the method you wish to represent your data. However, common types involve pie charts, bar charts, scatter plots, and more.
- Personalize Data Visualization: Customize data visualization to interpret data insights appropriately. Consider adjusting fonts, colours, scales, labels, and other elements to maintain clarity in the visualization.
- Interact with Data Inputs: Utilize the interactive data features of your selected tool. Dig deeper into the details of the data, sort data, and modify visualization for better interpretation and enhance decision-making.
- Make Decisions with Insights: Simplify complex data by filtering out unrequired data through visualization. Identify trends, outliers, and correlations between data to make informed decisions.
As we discussed above, a range of data visualization tools are available, and every tool offers a range of robust features with significant benefits and drawbacks. Select a tool that simplifies data interpretation based on your needs and the organization's goal. Let's have a closer look at the pros and cons of visualization tools.
Advantages of Data Visualization
- Easy Accessibility: These tools make data accessible and easy to understand. With appealing visuals and organized data, laypersons or non-technical employees can interpret the inputs.
- Seamless Interactivity: Some tools offer interactive dashboards that showcase varied aspects and, upon one click, show detailed information. This is ideal for individuals who do not possess subject expertise.
- Offers Data Insights: Varied businesses can understand varied patterns and trends and compare data through a seamless data visualization tool. Users can easily access valuable insights that can aid in planning further business strategies.
Disadvantages of Data Visualization
- Added Complexity: Users may need training to understand data visualization layers, avoid the risk of using the wrong visual type, or generate complex or cluttered data through the tool.
- Probability of Misinterpretation: While data visualization tools offer detailed insights through dashboards and appealing graphics, there are chances of misinterpretation or bias with minor errors.
Conclusion
Varied datasets surround the business landscape, and interpreting data accurately is essential as it impacts the business decision-making process. Making decisions with scattered data can be challenging, whereas relying on data visualization tools can simplify identifying varied patterns, trends, outcomes, and more with a suitable format.
Data visualization tools refer to converting valuable, diverse data inputs into appealing visual representations such as maps, graphs, and charts for seamless analysis.
Regardless of your requirements, you must seek features like a user-friendly interface, support for a common data format, an interactive dashboard, integration, varied visualization type options, and more.
The data size would vary depending on the tools' limitations. For instance, the Tableau Public tool has restrictions on data file size, whereas other tools like Power BI can manage high-volume datasets with robust features.
Security measures differ between tools. Tableau Public is meant for public data, whereas Power BI provides enterprise-grade security-based features. Before selecting a tool, look for a security and privacy policy for sensitive data.