Sentences with phrase «full dataset on»

All McKitrick needed to do to see his error is to plot the 26 year «hiatus» trend and the trend for the full dataset on the same axes to see how absurd it would be to claim there has been a 26 year hiatus:

Full dataset on brain size, body size, diet, social / mating systems, group size and estimates of early Eocene fossil primate brain volumes, complied from published literature sources.

Not exact matches

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

Popular use cases include BI and Data Science on Modern Data, like Elasticsearch, S3, Hadoop and MongoDB; Data Acceleration, making even the largest datasets interactive in speed; Self - Service Data, making data consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and users.

In the long term, data on these indicators will be collected as part of the Maternity and Children's Dataset (MCDS), which is expected to reach full coverage and maturity by 2017.

Since the early 1980s, some NMSs, other organizations and individual scientists have given or sold us (see Hulme, 1994, for a summary of European data collection efforts) additional data for inclusion in the gridded datasets, often on the understanding that the data are only used for academic purposes with the full permission of the NMSs, organizations and scientists and the original station data are not passed onto third parties.

I just downloaded the full (unadjusted) RSS dataset into Excel and ran a LINEST function on every period ending in Feb. 2016, and they are all positive.

Full details on how the Bureau has prepared ACORN - SAT are available from the technical report Techniques involved in developing the Australian Climate Observations Reference Network — Surface Air Temperature (ACORN - SAT) dataset

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.