UMAP visualization and generation

<p><strong>Description:</strong></p><p>I haven’t seen many examples showcasing how to effectively represent dimensionality reduction analysis, like UMAP, using ECharts. Therefore, this project provides a clear demonstration of how to combine Python with UMAP to generate a dynamic, interactive view. You can configure and select the parameters needed to visualize the graph.</p><p>To get started:</p><ul><li><p>Install UMAP in your local Python environment.</p></li><li><p>In the configuration view:</p><ul><li><p>Configure the columns that will be used for UMAP calculations (these should be numerical columns).</p></li><li><p>Adjust the parameters via the configuration panel to fine-tune the visualization.</p></li></ul></li></ul><p>This workflow demonstrates how to blend Python and ECharts to create an explanatory and aesthetically appealing graph for dimensional reduction analysis using UMAP.</p>