10 DATA VISUALISATION TOOLS FOR 2024

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Suppose you have been trying to compare the best data visualization tools. In that case, you may have found it difficult to find a detailed list that includes open-source and proprietary solutions to help you compare and make an informed decision on what you need going forward.

In this guide, you will learn everything you need to know about the leading solutions for data visualization to help you start your next analysis project.

We’ve also included links to several resources to view data visualization examples across various use cases.

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1. Grafana

Grafana is a popular open-source tool for visualizing data. Engineers love it for creating visual reports on important metrics. Grafana works well with other tools like Graphite, InfluxDB, and Prometheus, which add even more features to its already rich set.

Grafana’s interface is easy to use, allowing you to create charts, graphs, and tables for your reports. This simplicity helps you share important insights and improves team collaboration.

Check out our guide to find some of the best graffiti dashboards for inspiration.

Key Features:

• Tables

• Gauges

• Timelines

• Time-series

• Bar & pie charts

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2. Kibana

Kibana is a popular tool for visualizing data. It is especially useful for creating charts from log files for reporting dashboards. Data analysts and engineers in Development and DevOps widely use it.

Kibana was open-source until version 7.10.2, but in early 2021, it switched to the SSPL license. Fortunately, some providers have kept open-source versions available, so you can still use Kibana for your analytics needs.

Check out our article for the top use cases and best Kibana dashboards.

Key Features:

• Gauges

• Tag clouds

• Heat maps

• Data tables

• Coordinate maps

• Line and pie charts

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3. OpenSearch Dashboards

OpenSearch Dashboards is a data visualization tool based on Kibana 7.10.2. It improves Kibana by adding extra security features, making it compliant with NIST, CMMC, and SOC 2 regulations. To learn more about CMMC, check out our guide: What is CMMC?

As an open-source tool with a public roadmap, OpenSearch Dashboards lets you preview upcoming features. In future updates, expect drag-and-drop report creation and alerting on audit logs.

Key Features:

• Tenancy

• Notebooks

• Gantt charts

• On-demand CSV reports

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4. Logit.io

If you want to use Kibana, OpenSearch Dashboards, and Grafana together, consider using Logit.io.

Logit.io is a data monitoring and observability platform that provides full visibility into your infrastructure for anyone creating log or metrics data.

Logit.io also provides compliance and auditing functions and all the features needed to visualize your data and create user-friendly reporting dashboards. It is suitable for both technical and non-technical users.

Key Features:

• Unlimited users

• Custom dashboards

• Alerting and notifications

• Autoscaling pen platform

• Enterprise uptime SLAs available to 99.999%

• Highly available data centers in the EU, UK, and US regions

• NVMe-backed hardware for enhanced big data processing

• Authentication options include SSO, SAML, Google, Azure, Github, and Email.

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5. Tableau

Tableau is widely recognized as a leading data visualization tool in today’s market. Users often find it ideal to present confirmed metrics to stakeholders rather than exploring new data.

While this tool can beautifully showcase straightforward data sets, handling more complex data may require a tool that offers deeper analysis for accuracy.

Key Features:

• Maps

• Mobile view

• In-memory data

• Data source integrations

• Collaboration & sharing features

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6. Google Data Studio

Google Data Studio is a powerful tool that transforms data into customizable, real-time dashboards. It’s commonly used to create reports using data from Google Analytics and Google Ads.

According to Software Advice in 2021, Google Data Studio offers better value for money than Power BI. Both tools are highly competitive in terms of features and functionality.

Key Features:

• Charts

• Blend data

• Add pages

• Date Range

• Filter control

• Edit vs. view permissions

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7. Microsoft Power BI

Power BI is a user-friendly platform offering robust features for visualizing smart data. Using Power BI visuals and efficient tables, you can effortlessly transform raw data into valuable insights and statistics.

Compared to Tableau, another popular solution, Power BI excels in user satisfaction, particularly in understanding user needs and its strong cloud BI capabilities. Both tools receive similar ratings for ease of deployment and administration (Source: Gartner, 2021).

Key Features:

• Trend indicators.

• Customizable dashboards

• Navigation pane reporting

• Online analytical processing (OLAP)

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8. Plotly Dash

Plotly Dash empowers users with a robust Python framework to build interactive web apps and dashboards. It leverages modern technologies like React and Flask to seamlessly integrate features like sliders and dropdowns into data reporting dashboards.

Users rate it plotly higher than other visualization tools like Bokeh for its advanced 3D graphing capabilities and comprehensive feature set in its library.

Key Features:

• Create dashboards

• Scale easily with a stateless design.

• Build web apps using Python analytics.

• Use machine learning (ML) and natural language processing (NLP)

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9. D3.js

D3.js is highly favored among data science professionals. This JavaScript library excels in creating sophisticated and intricate visualizations compared to commercial tools like Tableau. However, D3 might be more than necessary for simpler data visualization needs. It also integrates seamlessly with Power BI to generate customized chart types.

Key Features:

• Uses Canvas, SVG, and HTML

• Built-in element inspector for debugging

• Uses a data-driven approach for dom manipulation

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10. Ggplot2

Ggplot2 is a popular open-source tool for data visualization in R. It supports various visualization types, with curated lists highlighting its top fifty formats.

If you want to visualize your data in various formats, Ggplot2 could be your perfect tool.

• Jitter plot

• Lollipop chart

• Waffle chart

• Calendar heat map

• Dumbell plot

• Population pyramid

Key Features:

• Vector helpers

• Autopilot and fortify

• Use axes and legends

• Layer germs, stats, and annotations

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Conclusion

These ten data visualization tools for 2024 offer diverse functionalities and capabilities, catering to a wide range of data analysis and presentation needs. Whether looking for advanced 3D graphing, interactive dashboards, or seamless integration with other platforms, these tools provide robust solutions to enhance your data visualization efforts.

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