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== Data Analytics == Data analytics refers to the process of interpreting, analyzing, and deriving actionable insights from large sets of data. In the era of big data, organizations are increasingly relying on data analytics techniques to make informed business decisions. Elixir, a functional programming language, offers a range of tools and libraries that facilitate data analytics workflows. === Data Manipulation === Elixir provides powerful data manipulation capabilities through its libraries, enabling efficient processing and transformation of data. Some notable libraries for data manipulation in Elixir include: * [https://github.com/elixir-lang/ecto Ecto]: A database wrapper and query generator that allows for seamless interaction with databases, enabling data retrieval and manipulation. === Data Visualization === Data visualization plays a crucial role in data analytics, as it helps make complex datasets more understandable and accessible. Elixir offers several libraries for data visualization, including: * [https://github.com/pprzetacznik/exla Exla]: An Elixir interface to Google's TensorFlow library that allows for machine learning and data visualization. === Machine Learning === Machine learning is a subset of data analytics that focuses on the development of algorithms and models that enable computers to learn and make predictions based on data. Elixir provides various libraries for machine learning, such as: * [https://github.com/davidsantosdias/elixir-ml ElixirML]: A machine learning library that offers a wide range of algorithms and tools for tasks such as classification, regression, clustering, and dimensionality reduction. === Data Analytics in Elixir == Elixir’s functional programming paradigm promotes clean, concise, and scalable code. By leveraging Elixir’s concurrency capabilities, data analytics workflows can be parallelized and distributed, enabling faster processing of large datasets. Additionally, the fault-tolerant nature of Elixir ensures that data analytics pipelines can handle exceptions and failures gracefully. With the growing popularity of Elixir, the community continues to develop new tools, libraries, and frameworks that enhance data analytics capabilities. The Elixir ecosystem provides an ever-expanding set of resources for data analysts and programmers alike. == See Also == * [[Elixir Programming Language]] * [[Elixir Libraries]] * [[Big Data Processing in Elixir]] [[Category:Elixir Programming Language]] [[Category:Data Analytics]]
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