Data visualization tools help create graphs, charts, and other visuals that contain data. In choosing a data visualization tool, you should go for an open-source tool that lets you make as many customizations as you like. In this article, we discuss some of the best data visualization tools.
1. Redash
Redash is an online data visualization tool used to build dashboards to visualize data. It is easy to use, and you can connect to multiple data sources, gather information from them, and query the information. Redash encourages collaboration and is also a tool used to share data within teams.
Features Of Redash
- It is cloud-based and supports any device with an internet connection.
- It has an intuitive interface that makes it easy to use.
- You can deploy pre-configured key performance indicators to generate reports.
- You can set up notifications for events that may serve as data sources.
- It is a very secure data visualization tool.
- You can extend its functions with the use of APIs.
2. Grafana
Grafana is one of the best open-source data visualization tools. It is a powerful tool for creating, exploring, and sharing visuals after you have accessed the data. Grafana connects with every database, including Graphite, Prometheus, Influx DB, ElasticSearch, MySQL, and PostgreSQL.
Features Of Grafana
- You can create dashboards and share them with your team via links.
- You can easily create, manage and silence your alerts.
- You can rename, summarize, combine, and perform calculations across different queries and data sources.
- You can annotate graphs with rich events from numerous data sources.
- Its functionalities are extensible using APIs.
- You can compare different results on a single interface.
3. Google Charts
Google Charts is one of the most commonly used data visualization tools. It is a cloud-based tool used to gather data from sources, create a chart from the data, and embed it in a webpage. Google Charts supports many chart types, and you can easily include a chart in a webpage by requesting the image tag.
Features Of Google Charts
- It is a Google online service, meaning you get Google's security features like single sign-on.
- It is free to use.
- You can connect to a data source in real-time.
- You can manage multiple charts that have the same underlying data.
- You can easily connect charts in an interactive dashboard.
- The axes on charts are not limited to the x and y-axis.
4 RAWGraphs
RAWGraphs is a tool that makes data visualization easy for its users, regardless of their professional knowledge. It is a tool designed to be the missing link between spreadsheet applications like Microsoft Excel and vector graphic editors like Adobe Illustrator. Though RAWGraphs has some good features, it is a free tool.
Features Of RAWGraphs
- You can use it when there is no internet connection.
- It lets you visualize your project plan through a timeline with schedule bars and keep track of the work done.
- You can save your project or export it as a vector or raster image.
- It supports a wide range of charts.
- Any data you insert will be processed only by your web browser.
- It works with delimiter-separated values and CORS-enabled endpoints (APIs).
5 Charted
Charted is a free, open-source data visualization tool. You can use it to fetch data, analyze it and share it with members of teams. Charted is easy to use, and its standout feature is the ability to visualize data automatically.
Features Of Charted
- It presents results well, regardless of the screen size.
- It updates charts at 30-minute intervals.
- It sorts data by taking data series and charts apart.
- You can sort data according to chart types, backgrounds, titles, or labels.
- It supports file types, including CSV, TSV, Google Sheets, and Dropbox share links.
- It is easy to use, and most of its functions are automated.
6 D3.js
D3.js is also known as D3 and is one of the best tools for data visualization and analysis. Its name stands for data-driven documents, and its focus is on data-based document manipulation with the specification of HTML, SVG, and CSS web standards. D3.js is a free cloud-based tool.
Features Of D3.js
- It supports different file formats, including CSV and JSON.
- It is flexible, and you can use it to call up arbitrary data to transform it into a document.
- It is easy to use.
- It associates data to an element or group of elements in the HTML page.
- It has a wide variety of curve-generating functions.
7 Chart.js
Chart.js is a data visualization tool designed for designers and programmers to add animated graphs to websites. It comes in handy for users with its support for chart types like the bar, line, area, pie, bubble, and radar. Chart.js is a good choice if you need a free, open-source data visualization tool.
Features Of Chart.js
- Its result presentation is independent of the screen size.
- It can combine data outputs like bar charts and line graphs in a single output unit.
- Its outputs are customizable.
- It gives outputs that include transitions, effects, and others.
- It supports chart types like bar, line, scatter, pie, bubble, radar, and polar.
- It integrates with front-end frameworks like React, Angular, and Vue.
Conclusion
There are many data visualization tools for analysis, but an open-source tool gives more flexibility. You should try one of the open-source data visualization tools recommended in this article.
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