Abstract: A system and method for presenting custom variables to a user of a web analytics system. An activity file of a web server is received, wherein the activity file includes activity file hit records that provide information about respective requests for documents made by visitors of web sites. A custom variable tag of an activity file hit record in the activity file is identified. Attribute-value pairs of the custom variable tag are then extracted. The attribute-value pairs of the custom variable tag are stored in a database hit record of a database of the server. One or more attribute-value pairs of a plurality of custom variable tags assigned to the custom variable of the web site are then prepared to be presented to a user, wherein the user is separate and distinct from the authors of the documents of the web site.

Abstract: Methods, systems and apparatus, including computer program products, for storing web analytics data in a generic format. Multiple data elements are stored in a database in association with project identifiers, data type identifiers, and index numbers.

Abstract: Methods, systems and apparatus, including computer program products, for transferring, receiving, and storing multiple element data in a string of characters. Multiple data elements are sent in a string of delimited characters and have respective project identifiers, data types, and index numbers used to extract and store the data elements at a receiving computer.

Abstract: A server system stores time series data for a data source. The time series data comprises a plurality of time-value pairs, each pair including a value associated with an attribute of the data source and a time. For a particular attribute, the server system generates a plurality of forecasting models for characterizing the time-value pairs, each model including an estimated attribute value and an associated error-variance. For a time-value pair, the server system determines a plurality of differences between the value of the time-value pair and respective estimated attribute values of the plurality of forecasting models and tags the time-value pair as an anomaly if the differences for at least a first subset of the forecasting models are greater than the corresponding error variances. In response to a request from a client application, the server system returns at least a subset of the time-value pairs tagged as anomalies.

Abstract: A server system stores web analytics data for a web page in a device. The web analytics data comprises a plurality of prior time-value pairs, each pair including a value of an attribute associated with the web page and a time associated with the value. For a particular attribute, the server system collects a new time-value pair including a new value associated with the web page and a new time indicating when the value was determined. The server system estimates a predicted value for the attribute and an associated error-variance at the new time by applying a forecasting model to the prior time-value pairs in respective subsets of the web analytics data. The collected new time-value pair is tagged if its value is outside the error variance of the predicted value for the particular attribute.

Abstract: A graphical user interface is used for presenting time series data and anomalies associated with a data source on a computer display. The graphical user interface has first and second windows. The first window includes a graph of time series data values for an attribute of the data source and a histogram of anomalies of the data source, each corresponding to a value of a respective attribute that is substantially different from an expected value of the attribute. The second window includes a list of automatic alerts characterizing a set of anomalies of the data source at a particular time. In response to a user adjustment of a sensitivity threshold, a new histogram of anomalies is rendered to replace the existing histogram of anomalies in the first window and a new list of automatic alerts is rendered to replace the existing list of automatic alerts in the second window.

Abstract: A system and method for presenting custom variables to a user of a web analytics system. An activity file of a web server is received, wherein the activity file includes activity file hit records that provide information about respective requests for documents made by visitors of web sites. A custom variable tag of an activity file hit record in the activity file is identified. Attribute-value pairs of the custom variable tag are then extracted. The attribute-value pairs of the custom variable tag are stored in a database hit record of a database of the server. One or more attribute-value pairs of a plurality of custom variable tags assigned to the custom variable of the web site are then prepared to be presented to a user, wherein the user is separate and distinct from the authors of the documents of the web site.

Abstract: A computer-implemented method for visualizing a multi-dimensional dataset at a client device is disclosed. The client device displays a first view of a subset of the multi-dimensional dataset, including displaying dimension data of a first reference dimension attribute and metric data of a first metric attribute that corresponds to the respective first reference dimension data along a first axis. After receiving a user request to partition the metric data of the first metric attribute by a first pivot dimension attribute, the client device requests and receives dimension data of the first pivot dimension attribute and the corresponding partitioned metric data of the first metric attribute from a server system and displays a second view of the subset of the multi-dimensional dataset, including displaying the first pivot dimension data and the corresponding partitioned metric data of the first metric attribute along the second axis.

Abstract: A computer-implemented method for generating and sharing dataset segment schemes of a multidimensional dataset at a client device is disclosed. The client device displays a first filter definition template and an attribute list. Upon detecting a user selection of a first attribute, the client device displays the first attribute and one or more candidate filter conditions in the first filter definition template. Upon detecting a user selection of a first filter condition in the first filter definition template, the client device submits a segment scheme generation request to the server system and receives from the server system a first segment identifier; and displays a first segment link at the client device, the first segment link including the first segment identifier.

Abstract: Methods, systems and apparatus, including computer program products, for transferring, receiving, and storing multiple element data in a string of characters. Multiple data elements are sent in a string of delimited characters and have respective project identifiers, data types, and index numbers used to extract and store the data elements at a receiving computer.