Sentences with phrase «which categories of data»

Users will be able to decide which categories of data they want to download, and they will be able to do the whole process on their phones.

Not exact matches

The team looks at pricing data covering 60 consumer goods and services that represent a larger cluster of goods and services — especially within the groceries category, which lists staples including bread, coffee, sugar, ground beef and potatoes.

Notably, it has also become a trove of inclusion - fail data, which can be broken down by demographic category.

States received points based on categories like online search functions, the ability to download data and the inclusion of information from quasi-public agencies, which are technically state entities but tend to operate independently.

The second dealt with the elimination of the «Partner Categories» service, which allows data brokers such as Acxiom to offer their customers targeting on Facebook's platform.

The term «aggregate customer information» means collective data that relates to a group or category of services or customers, from which individual customer identities and characteristics have been removed.

The Department examined the dataset obtained from SBA which contains data on the number of firms by NAICS codes, including the number of firms in given revenue categories.

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.

The most substantive GDPR - related change announced by Facebook to date is the shuttering of a feature called Partner Categories — in which it allowed the linking of its own information holdings on people with data held by external brokers, including (for example) information about people's offline activities.

April 2013 — Facebook launches Partner Categories: Further enriching the capabilities of its ad targeting platform by linking up with major data broker companies which hold aggregate pools of third party data, including information on people's offline purchases.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact of future sales of its common stock in the public markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements of the Company's consolidated financial statements; and other factors.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the business and operations of the Company in the expected time frame; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's inability to protect intellectual property rights; impacts of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; tax law changes or interpretations; and other factors.

The Chicago Fed's National Activity Index, which we reported on this morning, is based on 85 economic indicators drawn from four broad categories of data:

Not surprisingly, international equity has been one of the more popular ETF categories over the first six months as some investors sought potential opportunities in funds like iShares Core MSCI EAFE IMI Index ETF (XEF), which attracted inflows of $ 72.9 million this year through June, according to BlackRock's Follow the Flow data.

Report response rates, margins of error, and indications of other possible biases for any of the important categories for which data are reported; for example, in providing comparisons among states or denominations.

His category of transmutation describes the perceptual device which permits us to prehend the many actual entities of a nexus as one datum, so that trees or tables, for example, are grasped as trees or tables, rather than as myriad individual atomic actualities.

The first category imposes a compatibility so strict as to insure a virtual unity of data, an objective unity which is necessary to protect the underlying unity of the subject during all phases of concrescence.

Another important piece of information would be a table that breaks down, within each of the «use» categories, the amounts from each source category, such as individuals or corporate grants, over the time span for which AAFRC publishes data.

But the further one has moved from the primary domain of religious language, the greater is the danger of imposing on other domains categories which distort their data.

Beauty was the central value category for Whitehead, because in his vision reality is constituted by drops of experience which must integrate complex data (feelings) into a unity with both harmony and contrasts.

In terms of own price elasticity values, a recent meta - analysis estimated an average own price effect for carbonated sugar sweetened drinks (a near equivalent of the category non-concentrated sugar sweetened drinks, which predominantly includes carbonated drinks) of − 0.93, larger than our value of − 0.81.51 Our estimated value is also at the lower end of the range of own price elasticities frequently cited for sugar sweetened drinks of − 0.8 to − 1.0, based on one large review.52 Our own price estimate is comparable to experimental data (a 25 % reduction for a 35 % price rise) in a canteen study.53 However, all these estimates may be influenced by US studies in which higher estimates may reflect higher levels of consumption.

Instead, team sheets have data from 26 statistical categories, about 2/3 of which are yardage based.

Aggregate information is data we collect about a group or category of services or users from which individual user identities have been removed.

Our final data are reported as any breast milk (combining the 3 categories of only breast milk, mostly breast milk, and mostly formula) and mostly and only breast milk, which adds useful and more detailed information.

The interview data were analysed using «grounded theory» style — a system of «open coding», which involved sorting the data into analytical categories by «breaking down, examining, comparing, conceptualizing and categorizing data» -LSB-(Strauss and Corbin, 1990), p. 61].

In the latest national data, US women of reproductive age are alarmingly heavy: 52 % are overweight, 29 % are obese, and 8 % have a body mass index (BMI; in kg / m2) of ≥ 40, which places them in the obese III category (1).

None of the data categories gave specific information about what websites people were visiting, the content of their emails or chats, or the types of files being downloaded — they simply indicated the extent to which people used different broad categories of net - based resources, as well as differences in people's tendency to use many resources at once.

To identify methodological categories, the outcome of each paper was classified according to a set of binary variables: 1 - outcome measured on biological material; 2 - outcome measured on human material; 3 - outcome exclusively behavioural (measures of behaviours and interactions between individuals, which in studies on people included surveys, interviews and social and economic data); 4 - outcome exclusively non-behavioural (physical, chemical and other measurable parameters including weight, height, death, presence / absence, number of individuals, etc...).

broader definition of «personal data», which will now include particular user demographics and categories

One such takeaway was that next year, there will be new laws giving a broader definition of «personal data», which will now include particular user demographics and categories.

The study broke down their research parameters into five main categories (Background, Marriage and Children, Attitudinal, Socio - economic and Lifestyle), each with its own subcategories, with all of the data coming from the HILDA (Household, Income and Labour Dynamics in Australia) survey, which is conducted each year.

Data: May and December 2008, Hitwise Competitive Intelligence USA, UK and Australia rankings by market share of visits, which is the % of online traffic to the category.

[12] The guidance does not explicitly prohibit aggregation of data across racial and ethnic subgroups in cases in which data for those disaggregated categories would be impossible to report due to sample sizes falling below the state's specified n - size.

Text Data Sets can be composed of short examples of text, which can be organized into categories.

In the 2010 - 11 school year, the latest year for which that information was available, about one - quarter of charter school expulsions — 68 of 263 — fell into those categories, according to Jeffrey Noel, director of data management for the Office of the State Superintendent of Education.

ScholarCentric's elementary, middle and high school materials, technology, and services align well with Elementary & Secondary School funding in the following categories: build social emotional skills of elementary, middle and high school students that are scientifically linked to academic achievement; deliver professional development services; use data to inform which students are in greatest need of counseling support, and use resiliency curriculum to improve student success.

By crossing two categories of data, you will get a more vivid picture of the school, which will allow you to answer such questions as

BTS uses the data collected from airlines to determine the percentage of late flights delayed by weather, which includes those reported in the categories of extreme weather, late - arriving aircraft, and National Aviation System delays.

In other words, the data is not completely flawless, though flaws are shared equally in all categories and thus are unlikely to effect the overall trends, which is the focus of this study.

These books, which encompass a spectrum of nearly 70 languages, run the gamut of genres, although data showed that romance / erotica, thriller, and fantasy were the top - selling categories.

The data was further examined by taking a look at the breakdown of author categories within the group waiting to make money on their indie titles, which is as follows: about 75 percent are indie - only authors, 17 percent are hybrid published (meaning they are both indie and traditionally published), 5 percent are former hybrid and 3 percent did not answer the question about how many books they published.

That's because, according to our data in which we track top sales of books at Amazon, highest - ranking titles in the Kindle store differ vastly than those in Amazon's standard print - books category.

The fund has an average market cap of just under $ 18 billion, which is significantly lower than its benchmark ($ 43 billion for the Russell 1000) and the category average ($ 56 billion), according to data from Morningstar.

For this category of traders, their focus will be on brokers which can provide them with the necessary trading tools, data and research which can enhance their ability to better analyze the markets.

Not surprisingly, international equity has been one of the more popular ETF categories over the first six months as some investors sought potential opportunities in funds like iShares Core MSCI EAFE IMI Index ETF (XEF), which attracted inflows of $ 72.9 million this year through June, according to BlackRock's Follow the Flow data.

However, we know of no other profession in which the collection of basic empirical data allows for variable definitions of data categories based on local or regional differences or preferences.

Each RCP contains the same categories of data, but the values vary a great deal, reflecting different emission trajectories over time as determined by the underlying socio - economic assumptions (which are unique to each RCP).

There has been a substantial increase in most measures of Atlantic hurricane activity since the early 1980s, the period during which high quality satellite data are available.20, 21,22 These include measures of intensity, frequency, and duration as well as the number of strongest (Category 4 and 5) storms.

A related species, the Antarctic minke whale which is caught by Japan, was moved to a category of «data deficient», meaning that too little is known to judge how many there are.

«Party holding accounts» should be selected under the Category field which will result in default selection of the other fields; data would be displayed as illustrated.