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2. Hands-On Data Visualization - Wikipedia

   en.wikipedia.org/wiki/Hands-On_Data_Visualization

   Hands-On Data Visualization has been included in the syllabuses of various higher education courses in data visualization, including at Carnegie Mellon University, [2] San Jose State University [3] and Arizona State University. [4]

3. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   The functions work on many types of data, including numerical, categorical, time series, textual, and image. [7] Mojo can run some Python programs, and supports programmability of AI hardware. It aims to combine the usability of Python with the performance of low-level programming languages like C++ or Rust. [8]

4. Data and information visualization - Wikipedia

   en.wikipedia.org/wiki/Data_and_information...

   Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

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. Microsoft Power BI - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Power_BI

   Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence (BI). [7] It is part of the Microsoft Power Platform . Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive ...

7. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   Exploratory data analysis is a technique to analyze and investigate a dataset and summarize its main characteristics. A main advantage of EDA is providing the visualization of data after conducting analysis. Tukey's championing of EDA encouraged the development of statistical computing packages, especially S at Bell Labs. [4]