otsad: Online Time Series Anomaly Detectors

#' art_daily_flatmiddle.
#'
#' Artificially-generated data with varying types of anomalies
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"art_daily_flatmiddle"

#' art_daily_jumpsdown
#'
#' Artificially-generated data with varying types of anomalies
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"art_daily_jumpsdown"

#' art_daily_jumpsup
#'
#' Artificially-generated data with varying types of anomalies
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"art_daily_jumpsup"

#' art_daily_nojump
#'
#' Artificially-generated data with varying types of anomalies
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"art_daily_nojump"

#' art_increase_spike_density
#'
#' Artificially-generated data with varying types of anomalies
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
#'
"art_increase_spike_density"

#' art_load_balancer_spikes.
#'
#' Artificially-generated data with varying types of anomalies
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"art_load_balancer_spikes"

#' exchange_2_cpc_results.
#'
#' Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost
#' per thousand impressions (CPM). One of the files is normal, without anomalies.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"exchange_2_cpc_results"

#' exchange_2_cpm_results.
#'
#' Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost
#' per thousand impressions (CPM). One of the files is normal, without anomalies.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"exchange_2_cpm_results"

#' exchange_3_cpc_results.
#'
#' Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost
#' per thousand impressions (CPM). One of the files is normal, without anomalies.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"exchange_3_cpc_results"

#' exchange_3_cpm_results.
#'
#' Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost
#' per thousand impressions (CPM). One of the files is normal, without anomalies.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"exchange_3_cpm_results"

#' exchange_4_cpc_results.
#'
#' Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost
#' per thousand impressions (CPM). One of the files is normal, without anomalies.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"exchange_4_cpc_results"

#' exchange_4_cpm_results.
#'
#' Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost
#' per thousand impressions (CPM). One of the files is normal, without anomalies.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"exchange_4_cpm_results"

#' ec2_cpu_utilization_24ae8d.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_cpu_utilization_24ae8d"

#' ec2_cpu_utilization_53ea38.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_cpu_utilization_53ea38"

#' ec2_cpu_utilization_5f5533.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_cpu_utilization_5f5533"

#' ec2_cpu_utilization_77c1ca.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_cpu_utilization_77c1ca"

#' ec2_cpu_utilization_825cc2.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_cpu_utilization_825cc2"

#' ec2_cpu_utilization_ac20cd.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_cpu_utilization_ac20cd"

#' ec2_cpu_utilization_fe7f93.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_cpu_utilization_fe7f93"

#' ec2_disk_write_bytes_1ef3de.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_disk_write_bytes_1ef3de"

#' ec2_disk_write_bytes_c0d644.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_disk_write_bytes_c0d644"

#' ec2_network_in_257a54.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_network_in_257a54"

#' ec2_network_in_5abac7.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_network_in_5abac7"

#' elb_request_count_8c0756.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"elb_request_count_8c0756"

#' elb_request_count_8c0756.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"elb_request_count_8c0756"

#' grok_asg_anomaly.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"grok_asg_anomaly"

#' iio_us_east1_i_a2eb1cd9_NetworkIn.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"iio_us_east1_i_a2eb1cd9_NetworkIn"

#' rds_cpu_utilization_cc0c53.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"rds_cpu_utilization_cc0c53"

#' rds_cpu_utilization_e47b3b.
#'
#' AWS server metrics as collected by the AmazonCloudwatch service. Example metrics include
#' CPU Utilization, Network Bytes In, and Disk Read Bytes..
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"rds_cpu_utilization_e47b3b"

#' ambient_temperature_system_failure.
#'
#' The ambient temperature in an office setting.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ambient_temperature_system_failure"

#' cpu_utilization_asg_misconfiguration.
#'
#' From Amazon Web Services (AWS) monitoring CPU usage – i.e. average CPU usage across a
#' given cluster. When usage is high, AWS spins up a new machine, and uses fewer
#' machines when usage is low.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"cpu_utilization_asg_misconfiguration"

#' ec2_request_latency_system_failure.
#'
#' CPU usage data from a server in Amazon's East Coast datacenter. The dataset ends
#' with complete system failure resulting from a documented failure of AWS API
#' servers.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"ec2_request_latency_system_failure"

#' machine_temperature_system_failure.
#'
#' Temperature sensor data of an internal component of a large, industrial mahcine.
#' The first anomaly is a planned shutdown of the machine. The second anomaly is
#' difficult to detect and directly led to the third anomaly, a catastrophic failure
#' of the machine.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"machine_temperature_system_failure"

#' nyc_taxi.
#'
#' Number of NYC taxi passengers, where the five anomalies occur during the NYC
#' marathon, Thanksgiving, Christmas, New Years day, and a snow storm. The raw
#' data is from the NYC Taxi and Limousine Commission. The data file included
#' here consists of aggregating the total number of taxi passengers into 30
#' minute buckets.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"nyc_taxi"

#' rogue_agent_key_hold.
#'
#' Timing the key holds for several users of a computer, where the anomalies
#' represent a change in the user.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"rogue_agent_key_hold"


#' rogue_agent_key_updown.
#'
#' Timing the key strokes for several users of a computer, where the anomalies
#' represent a change in the user.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"rogue_agent_key_updown"

#' TravelTime_387.
#'
#' Real time traffic data from the Twin Cities Metro area in Minnesota, collected
#' by the Minnesota Department of Transportation. Included metrics include
#' occupancy, speed, and travel time from specific sensors.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"TravelTime_387"

#' TravelTime_451.
#'
#' Real time traffic data from the Twin Cities Metro area in Minnesota, collected
#' by the Minnesota Department of Transportation. Included metrics include
#' occupancy, speed, and travel time from specific sensors.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"TravelTime_451"

#' occupancy_6005.
#'
#' Real time traffic data from the Twin Cities Metro area in Minnesota, collected
#' by the Minnesota Department of Transportation. Included metrics include
#' occupancy, speed, and travel time from specific sensors.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"occupancy_6005"

#' occupancy_t4013.
#'
#' Real time traffic data from the Twin Cities Metro area in Minnesota, collected
#' by the Minnesota Department of Transportation. Included metrics include
#' occupancy, speed, and travel time from specific sensors.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"occupancy_t4013"

#' speed_6005.
#'
#' Real time traffic data from the Twin Cities Metro area in Minnesota, collected
#' by the Minnesota Department of Transportation. Included metrics include
#' occupancy, speed, and travel time from specific sensors.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"speed_6005"

#' speed_7578.
#'
#' Real time traffic data from the Twin Cities Metro area in Minnesota, collected
#' by the Minnesota Department of Transportation. Included metrics include
#' occupancy, speed, and travel time from specific sensors.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"speed_7578"

#' speed_t4013.
#'
#' Real time traffic data from the Twin Cities Metro area in Minnesota, collected
#' by the Minnesota Department of Transportation. Included metrics include
#' occupancy, speed, and travel time from specific sensors.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"speed_t4013"

#' Twitter_volume_AAPL.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_AAPL"

#' Twitter_volume_AMZN.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_AMZN"

#' Twitter_volume_CRM.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_CRM"

#' Twitter_volume_CVS.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_CVS"

#' Twitter_volume_FB.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_FB"

#' Twitter_volume_GOOG.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_GOOG"

#' Twitter_volume_IBM.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_IBM"

#' Twitter_volume_KO.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_KO"

#' Twitter_volume_PFE.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_PFE"

#' Twitter_volume_UPS.
#'
#' A collection of Twitter mentions of large publicly-traded companies such
#' as Google and IBM. The metric value represents the number of mentions for
#' a given ticker symbol every 5 minutes.
#'
#' @format A data frame with three variables: \code{timestamp}, \code{value},
#'   \code{is.real.anomaly}.
#'
#' For further details, see \url{https://github.com/numenta/NAB/blob/master/data/README.md}
#'
"Twitter_volume_UPS"