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  2. Microsoft Copilot - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Copilot

    According to Microsoft, Copilot can assist users with data analysis in Microsoft Excel spreadsheets by formatting data, creating graphs, generating pivot tables, identifying trends, and summarizing information, as well as guiding users using Excel commands and suggesting formulas to investigate user questions.

  3. Graph Query Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Query_Language

    Firstly, the graph model can be a natural fit for data sets that have hierarchical, complex, or even arbitrary structures. Such structures can be easily encoded into the graph model as edges. This can be more convenient than the relational model, which requires the normalization of the data set into a set of tables with fixed row types.

  4. Graphical model - Wikipedia

    en.wikipedia.org/wiki/Graphical_model

    Both directed acyclic graphs and undirected graphs are special cases of chain graphs, which can therefore provide a way of unifying and generalizing Bayesian and Markov networks. [3] An ancestral graph is a further extension, having directed, bidirected and undirected edges. [4] Random field techniques

  5. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data visualization uses information displays (graphics such as, tables and charts) to help communicate key messages contained in the data. [46] Tables are a valuable tool by enabling the ability of a user to query and focus on specific numbers; while charts (e.g., bar charts or line charts), may help explain the quantitative messages contained ...

  6. Explainable artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Explainable_artificial...

    Marvin Minsky et al. raised the issue that AI can function as a form of surveillance, with the biases inherent in surveillance, suggesting HI (Humanistic Intelligence) as a way to create a more fair and balanced "human-in-the-loop" AI. [61] Explainable AI has been recently a new topic researched amongst the context of modern deep learning.

  7. Statistical graphics - Wikipedia

    en.wikipedia.org/wiki/Statistical_graphics

    In addition, the choice of appropriate statistical graphics can provide a convincing means of communicating the underlying message that is present in the data to others. [1] Graphical statistical methods have four objectives: [2] The exploration of the content of a data set; The use to find structure in data; Checking assumptions in statistical ...

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