This repository contains visualizations created from a dataset. The visualizations include a histogram, scatter plot, boxplot, and correlation matrix. These visualizations provide insights into the distribution, relationships, and correlations among the variables in the dataset.
The dataset used for the visualizations is stored in the file winequality-red.csv. It consists of several variables, including continuous and categorical variables.
The histogram visualizes the distribution of a continuous variable in the dataset. It provides insights into the frequency or count of values within different intervals or bins.
The scatter plot displays the relationship between two continuous variables in the dataset. Each data point represents a combination of values from both variables, allowing us to observe any patterns, trends, or correlations.
The boxplot showcases the distribution of a continuous variable across different categories. It provides information about the median, quartiles, and potential outliers within each category.
The correlation matrix illustrates the pairwise correlations between all the variables in the dataset. It helps identify the strength and direction of the relationships between variables, ranging from -1 to 1.