 In this paper, we show that self-reported data from menstrual trackers can reveal statistically significant relationships between per-person variability of cycle length and self-reported qualitative symptoms.
<clarity>  In this paper, we show that self-reported data from menstrual trackers can reveal statistically significant relationships between per-person variability of cycle length and self-reported qualitative symptoms.
 In this paper, we show that self-reported data from menstrual trackers can reveal statistically significant relationships between per-person cycle length variability and self-reported qualitative symptoms.