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. (Coming Soon!)
- Scatter Plot – Shows relationships between two variables.
- Bubble Plot – Visualizes relationships between four variables using the x and y axes, bubble size, and colour.
- Stem and Leaf Plot – Organizes numerical data by dividing each value into stems and leaves, showing distribution and preserving individual values.
- Line Plot – Tracks changes over time or across categories. (Coming Soon!)
- Bar Chart – Compares categorical data. (Coming Soon!)
- Heatmap – Visualizes the intensity of data points in a matrix format. (Coming Soon!)
- Density Plot – Shows the probability distribution of a variable. (Coming Soon!)
- Pie Chart – Represents categorical proportions as slices. (Coming Soon!)
- Violin Plot – Combines box plot and density plot to show distribution. (Coming Soon!)
- Correlation Matrix – Visualizes pairwise correlations in a dataset. (Coming Soon!)
- Error Bars – Displays variability or uncertainty in data points. (Coming Soon!)
Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.