Calora analytics hub aggregates calorie totals, macros, weight trends, water intake, and exercise data across flexible time periods so users can see what is actually changing.
Daily calorie totals are often noisy. A single high-calorie dinner or a skipped meal can make one day look very different from the actual trend. Aggregate analytics exist to filter that noise and show what the week or month actually looked like.
Calora builds its analytics hub around this idea by prioritizing period-level views over moment-level scoring.
The analytics hub covers eleven distinct metrics: calories consumed, exercise calories, net calories, macro breakdown, water intake, body weight, step count, active calories, sleep duration, heart rate, and fasting session data.
Each metric can be viewed individually with a bar chart, summary statistics (average, minimum, maximum), and a recent history list.
Calora supports five time windows for analytics: 7 days, 30 days, 90 days, 180 days, and 365 days. Switching between periods updates all visible charts and summary statistics instantly.
This makes it possible to spot short-term fluctuations and long-term trends from the same interface, which is especially useful for users whose goals span multiple months.
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