This example automatically generates a suite of exploratory data visualizations from the COVID-19 dataset in the provided CSV file. It uses the AutoViz Python library to analyze the data and produce charts such as histograms and scatter plots, rendered as SVG images. The process is triggered through the `AutoViz` class, which handles data loading, statistical analysis, and visualization creation in a single call. The code relies on the `pandas` library for data handling and runs within a Jupyter environment, with `chart_format="svg"` specifying the output format.