Welcome to the Data Science Visualization Tools page, your go-to resource for powerful and intuitive visualization tools designed to help statisticians and data scientists explore, understand, and communicate their data more effectively. Whether you’re looking to create detailed box plots, visualize correlations, or track trends with line graphs, this page provides a wide range of visual tools that make data analysis seamless.
- Box Plot – Visualizes data distribution, outliers, and quartiles.
- Histogram – Displays the frequency distribution of a dataset.
- Scatter Plot – Shows relationships between two variables.
- Bubble Plot – Visualizes relationships between four variables using the x and y axes, bubble size, and colour.
- Line Plot – Tracks changes over time or across categories.
- Bar Chart – Compares categorical data.
- Heatmap – Visualizes the intensity of data points in a matrix format.
- Density Plot – Shows the probability distribution of a variable.
- Pie Chart – Represents categorical proportions as slices.
- Violin Plot – Combines box plot and density plot to show distribution.
- Correlation Matrix – Visualizes pairwise correlations in a dataset.
- Error Bars – Displays variability or uncertainty in data points.