Line Plot, Bar Plot, Scatter Plot, and Histogram Introduction Data visualization is the process of representing data in a graphical format so that it becomes easier to understand patterns, trends, and relationships. Instead of reading long tables of numbers, graphs help us quickly interpret information and make better decisions. Among the most commonly used visualization…
Seaborn Statistical Plots Introduction Seaborn is a powerful Python data visualization library built on top of Matplotlib. It provides a high-level interface for creating attractive and informative statistical graphics with minimal code. Data scientists, analysts, and researchers use Seaborn because it simplifies complex visualization tasks and offers beautiful default styles. Statistical plots created using Seaborn…
How Box Plot Works A Box Plot (or Box-and-Whisker Plot) is used to summarize the distribution of numerical data and detect outliers. Components of a Box Plot Component Meaning Minimum Smallest value (excluding outliers) Q1 (First Quartile) 25% of the data lies below this value Median (Q2) Middle value (50th percentile) Q3 (Third Quartile) 75%…