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Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
Python implementation of Blue Noise Plots, a novel replacement for jitter plots, published at Eurographics 2021.
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Fundamentals of Data Analysis (COMP08050)
Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot
Visualization using Matplotlib and Seaborn
A comprehensive analysis of the Android app market comparing over 10,000 apps in Google Play across different categories.
Python- Data Visualization
Used libraries and functions as follows: