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 thr…
This is a wine dataset containing 1599 rows and 12 columns with factors like alcohol, color, PH, residual sugar, sulfur-dioxide was used to determine the quality of wine varying with color.
It is my first project on my senior year data science course in my school. In this project, i have basically used matplotlib.py and solved some simple descriptive statistics problems like mean,median,mode and std_deviation. Also, the correlation and some visualization techniques like histograms and scatter-plots can be found.