Energy Analytics
Performance Indicators (KPI)
This KPI tracks the total number of days measurements have been taken, offering a straightforward metric of consistency and duration in data collection.
This KPI captures the latest energy level measurement, providing an up-to-the-minute snapshot of current vitality. It reflects the most recent data collected on energy levels, offering immediate insight into current well-being and readiness.
This KPI calculates the 3-day average energy metric, providing a summarized perspective on energy consumption over the recent three-day period. It aggregates data to smooth out daily fluctuations, offering a more stable and representative view of energy usage trends.
This KPI calculates the 7-day average energy metric, offering a comprehensive view of energy levels over the past week. It smooths out short-term fluctuations to present a more consistent and reliable measure of energy trends
This KPI isolates the day of the week with the best energy performance, specifically targeting days when energy efficiency hits or surpasses a level 4 threshold. It sifts through data to highlight when energy utilization is most effective, reflecting periods of heightened productivity or reduced consumption that meet or exceed predefined efficiency standards.
This KPI highlights your least efficient energy usage day, pinpointing instances where performance falls below level 2 or less
This KPI focuses on identifying the day with the least efficient energy usage, specifically highlighting instances where performance drops to level 2 or below. It meticulously reviews energy consumption or performance data to pinpoint days characterized by suboptimal energy efficiency, indicating areas where there is significant room for improvement.
This KPI leverages advanced predictive analysis to forecast the day when energy usage may be least efficient in the future, enabling the implementation of proactive measures and strategies to counteract anticipated inefficiencies.
This line chart illustrates the relationship between fasting durations and energy levels, mapping out how various lengths of fasting impact energy levels over the course of a week. It delineates clear trends and patterns, showing the direct effects of short-term versus long-term fasting on daily energy fluctuations.
This pie chart highlights the top five foods that achieve energy scores of 4 or higher, illustrating their significant impact on weekly energy levels. Each slice of the chart represents a food item that not only meets but potentially exceeds the energy score threshold, offering a clear visual comparison of their contributions to vitality.
This table lists foods linked to lower energy scores, each with a score of equal or less than 2, detailing their effects on energy levels. It provides a clear breakdown of foods that may contribute to decreased vitality, offering insights into dietary choices that could be impacting energy negatively.
This pie chart visualizes the top five foods with energy scores of 2 or lower, illustrating their significant negative impact on overall energy levels. Each slice of the chart represents one of these low-energy foods, providing a visual comparison of their contributions to reduced vitality.