This dataset is a small call center for an anonymous bank (Brown et al., 2005). This dataset provides the exact time of the calls that were connected to the center from January 1 to December 31 in the year 1999. The data are aggregated into time intervals to obtain a data matrix. More precisely, the (i,j)'th element of the data matrix contains the call volume during the jth time interval on day i. This dataset has been analyzed in several prior studies; e.g. Brown et al. (2005), Shen and Huang (2005), Huang et al. (2008), and Maadooliat et al. (2015). Here, the data are aggregated into time intervals 6 minutes.
A dataframe with 87600 rows and 5 variables:
The number of calls in 6 minutes aggregated interval.
a numeric vector to show the aggregated interval.
Date time when the calls counts are recorded
Weekday associated with Date.
Month associated with Date.
Brown, L., Gans, N., Mandelbaum, A., Sakov, A., Shen, H., Zeltyn, S., & Zhao, L. (2005). Statistical analysis of a telephone call center: A queueing-science perspective. Journal of the American statistical association, 100(469), 36-50.
Shen, H., & Huang, J. Z. (2005). Analysis of call center arrival data using singular value decomposition. Applied Stochastic Models in Business and Industry, 21(3), 251-263.
Huang, J. Z., Shen, H., & Buja, A. (2008). Functional principal components analysis via penalized rank one approximation. Electronic Journal of Statistics, 2, 678-695.
Maadooliat, M., Huang, J. Z., & Hu, J. (2015). Integrating data transformation in principal components analysis. Journal of Computational and Graphical Statistics, 24(1), 84-103.
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