Provides in-depth visualization and analysis of listening behavior patterns
across different artists, times of day, and days of the week. This component
helps users understand their music consumption habits through multiple
specialized chart types and visualization options.
Features:
Artist skip rate analysis with sortable visualization
Time of day listening distribution showing peak hours
Day of week activity patterns with multiple chart views
Toggle between different visualization modes for each metric
Color-coded indicators for skip behavior patterns
Loading skeleton state during data retrieval
Empty state handling for new users
This component helps users discover patterns in their listening behavior
that may not be immediately obvious, such as which artists they tend to skip
more frequently or when they listen to music most actively during the week.
Description
Listening Pattern Analysis Component
Provides in-depth visualization and analysis of listening behavior patterns across different artists, times of day, and days of the week. This component helps users understand their music consumption habits through multiple specialized chart types and visualization options.
Features:
This component helps users discover patterns in their listening behavior that may not be immediately obvious, such as which artists they tend to skip more frequently or when they listen to music most actively during the week.