Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights.

Duplicate Removal: Duplicate rows, if any, are removed to ensure data integrity. Correlation Analysis: A correlation matrix is calculated and visualized with a seaborn heatmap to highlight ...

Bar-plot Bar-plots are the most common type of plots used for visualization. It displays the relationship between the absolute value and numerical value, They are represented in rectangular blocks.

Seaborn is an easy-to-use data visualization library in Python. Installation is simple with PIP or Mamba, and importing datasets is effortless. Seaborn can quickly create histograms, scatter plots ...

Categorical Data Visualization: Seaborn makes it easy to create plots that are tailored for visualizing categorical data, including functions for creating bar plots, count plots, and categorical ...