Overall zero results rate

ARIMA Forecast

BSTS Forecast

Prophet Forecast

Cirrus API Usage

ARIMA Forecast

BSTS Forecast

Prophet Forecast

Cirrus API usage

Cirrus API is used to search for a particular term or phrase and getting back packages that contain that term in either the title or the page's content.

We studied multiple autoregressive integrated moving average (ARIMA) model models using the explorer app, and settled on ARIMA(0,1,2)x(2,1,1) w/ period of 7 as the best one – decided by Akaike Information Criterion (AIC).

We also have two competing models:

Note that the “Reportupdater” annotation refers to when we switched our data retrieval and processing codebase to Wikimedia Analytics' Reportupdater infrastructure. See T150915 for more details.

Overall zero results rate

Proportion of searches that yield zero results.

We studied multiple autoregressive integrated moving average (ARIMA) model models using the explorer app, and settled on ARIMA(2,1,2)x(1,0,0) w/ period of 7 as the best one – decided by Akaike Information Criterion (AIC).

We also have two competing models:

Note that the “Reportupdater” annotation refers to when we switched our data retrieval and processing codebase to Wikimedia Analytics' Reportupdater infrastructure. See T150915 for more details.

Wikidata Query Service homepage traffic

The WDQS homepage (query.wikidata.org) is the best way to use WDQS. It includes examples and a host of other user-friendly features.

We studied multiple autoregressive integrated moving average (ARIMA) model models using the explorer app, and settled on ARIMA(1,1,2)x(1,1,0) w/ period of 7 as the best one – decided by Akaike Information Criterion (AIC).

We also have two competing models:

Note that the “Reportupdater” annotation refers to when we switched our data retrieval and processing codebase to Wikimedia Analytics' Reportupdater infrastructure. See T150915 for more details.

Wikidata Query Service SPARQL endpoint usage

WDQS API can be used by third parties to query Wikidata using SPARQL.

We studied multiple autoregressive integrated moving average (ARIMA) model models using the explorer app, and settled on ARIMA(1,1,1)x(1,0,0) w/ period of 7 as the best one – decided by Akaike Information Criterion (AIC).

We also have two competing models:

Note that the “Reportupdater” annotation refers to when we switched our data retrieval and processing codebase to Wikimedia Analytics' Reportupdater infrastructure. See T150915 for more details.