To gauge normality, begin with visual inspection. A well-constructed histogram or a Q-Q plot can reveal much about your dataset's conformity to normal distribution.

Python features such as streamlit, pandas, altair, and random are considered to create the visualization of data. Various charts such as Pie chart, Scatter plot, Box plot, Density chart, Heatmap chart ...

Iris Dataset. Description: The Iris dataset contains measurements of iris flowers, with 150 samples across three species: Setosa, Versicolor, and Virginica. Each sample includes four features: sepal ...

This project involves the analysis of the famous Iris dataset. This analysis involves loading the dataset, performing statistical analysis, normalizing the data, visualizing data distributions, and ...

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 ...