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2. A beginner’s guide to data visualization with Python ... - AOL

   www.aol.com/beginner-guide-data-visualization...

   There are many tools to perform data visualization, such as Tableau, Power BI, ChartBlocks, and more, which are no-code tools. A beginner’s guide to data visualization with Python and Seaborn ...

3. Matplotlib - Wikipedia

   en.wikipedia.org/wiki/Matplotlib

   Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.

4. Tidyverse - Wikipedia

   en.wikipedia.org/wiki/Tidyverse

   ggplot2 – for data visualization; dplyr – for wrangling and transforming data; tidyr – help transform data specifically into tidy data, where each variable is a column, each observation is a row; each row is an observation, and each value is a cell. readr – help read in common delimited, text files with data; purrr – a functional ...

5. Orange (software) - Wikipedia

   en.wikipedia.org/wiki/Orange_(software)

   Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

6. Plotly - Wikipedia

   en.wikipedia.org/wiki/Plotly

   Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.

7. Python (programming language) - Wikipedia

   en.wikipedia.org/wiki/Python_(programming_language)

   Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [32] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

8. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Orange – A visual programming tool featuring interactive data visualization and methods for statistical data analysis, data mining, and machine learning. Pandas – Python library for data analysis. PAW – FORTRAN/C data analysis framework developed at CERN. R – A programming language and software environment for statistical computing and ...

9. Data and information visualization - Wikipedia

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

   Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots. [56] Interactive data visualization has been a pursuit of statisticians since the late 1960s. Examples of the developments can be found on the American Statistical Association video lending library. [57]