8.5 Conclusion

The data reveals some distinct patterns in absenteeism throughout the year, with significant variations noted in specific months. March and July both exhibit high levels of absenteeism when measured in total hours (Absenteeism.time.in.hours). However, when considering the total number of individual absence occurrences, it is March that stands out with a notably higher count, while July does not show this same increase.

Additionally, January presents a unique case where both metrics—total hours and number of absences—are abnormally low compared to other months. This drop suggests that January might have unique factors or conditions contributing to lower absenteeism rates, making it an outlier in the annual trend. These observations could be essential for understanding the dynamics of workforce management and planning effective strategies to address absenteeism.