Plotly is one of the comprehensive Python libraries for creating visualizations. This library offers many predefined visualizations useful for many data analyses. These visualizations are highly customizable, allowing us to be more creative in visualizing our insights and even to implement recent visualizations.
In this text, we are going to explain step-by-step tips on how to use Plotly to create a calendar where all the vacations in Barcelona for 2024 could be visualized. The calendar will probably be interactive, providing details about different holidays in town through hover-overs. Because the article shows, although Plotly doesn’t have a built-in visualization for creating calendars, ranging from a heatmap and a little bit of imagination, such a visualization could be easily implemented.
Calendars in Plotly allow for more customization than those created with predefined tools. Moreover, considered one of the key benefits is that they could be integrated into Jupyter notebooks, for instance, to conduct temporal analyses inside these notebooks. Moreover, hover overs could be customized based on the needs of our evaluation. One other great advantage in comparison with predefined tools is that Plotly is totally free…
