Data visualization in Plotly

Plotly data visualizations

We invite you to explore non-NDA examples of our Plotly data visualizations. These dashboards were created for the ModuSolution startup in 2017–2018 and designed according to the client’s brand guidelines, showcasing the powerful customization capabilities of Plotly technology. This technology is widely used for building interactive, data-driven applications with a high degree of flexibility and control.

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Scroll to FAQ ⤵
Scroll to FAQ ⤵

faq

  • What is Plotly?

    Plotly is a powerful open-source framework for building advanced, interactive data visualizations using Python, R, or JavaScript. It’s widely used by data scientists and analysts who need full control over chart behavior, custom logic, and dynamic dashboards. Plotly is especially valuable for complex, technical, or high-frequency data scenarios — such as financial analytics, scientific research, or internal product analytics. It integrates seamlessly with tools like Dash (for web apps), Jupyter Notebooks, and enterprise data sources, making it a flexible and production-ready solution for data-driven teams.

  • What are the best tool for data analysis and visualization?

    The best tool for data analysis depends on your goals, technical expertise, and the complexity of your data.

    If you’re working with large datasets, require deep statistical analysis, or want full control over interactive visualizations, Plotly is a top choice.

    Other tools like Tableau or Power BI offer powerful drag-and-drop interfaces for enterprise-grade BI, while Python, SQL, and Jupyter Notebooks remain the go-to stack for technical analysts and data scientists handling exploratory or predictive analysis.