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  2. A beginner’s guide to data visualization with Python and Seaborn

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

    Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. There are many tools to perform data visualization, such as ...

  3. 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 ...

  4. 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.

  5. Violin plot - Wikipedia

    en.wikipedia.org/wiki/Violin_plot

    Violin plots are similar to box plots, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator.A violin plot will include all the data that is in a box plot: a marker for the median of the data; a box or marker indicating the interquartile range; and possibly all sample points, if the number of samples is not too high.

  6. Hands-On Data Visualization - Wikipedia

    en.wikipedia.org/wiki/Hands-On_Data_Visualization

    Hands-On Data Visualization details design methods for interactive charts and customized maps, starting with drag-and-drop tools including Google Sheets, Datawrapper, and Tableau Public. It progresses to detail methods for editing source code templates built with Chart.js, Highcharts, and Leaflet on GitHub.

  7. Graph drawing - Wikipedia

    en.wikipedia.org/wiki/Graph_drawing

    Graphic representation of a minute fraction of the WWW, demonstrating hyperlinks.. Graph drawing is an area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional depictions of graphs arising from applications such as social network analysis, cartography, linguistics, and bioinformatics.

  8. Interactive visual analysis - Wikipedia

    en.wikipedia.org/wiki/Interactive_visual_analysis

    The data source for IVA is usually tabular data where the data is represented in columns and rows. The data variables can be divided into two different categories: independent and dependent variables. The independent variables represent the domain of the observed values, such as for instance time and space.

  9. r/dataisbeautiful - Wikipedia

    en.wikipedia.org/wiki/R/dataisbeautiful

    r/dataisbeautiful, also known as Data Is Beautiful, is a subreddit dedicated to aesthetically pleasing works of data visualization. [ 2 ] [ 3 ] [ 4 ] It was created in 2012; as of January 2022, it has over 20 million members.