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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.
Código feito nos encontros aos sábado em que está fazendo análise
**Still in progress.** That's my second 4th year project based on a self-learned TAU course called "Database Systems"
Exploratory Data Analysis
Analyzing data from a survey to find correlations in music and how it effects mental health.
This is a data analysis project providing insights into sales performance, customer behavior, inventory trends, and customer segmentation for Classic Models. Powered by MySQL, Python, and NLP techniques, the project delivers interactive visualizations and actionable insights for decision-making.