New on the website: what new the science can tell us about data

Published: 27.11.2017
of data science in business: what new the science can tell us about data

The petabyte of information available now to the analysis, makes the boundless game field of the possible truth.

As it is often told, the dilemma is that the correlation does not mean relationship of cause and effect. Opening of the predicting relations between And yes In does not mean that one brings to another, even indirectly. By no means, how.

Employees who take more active part in work, are more attentive and concentrated.

Explanation:

Explanation:

Yes, yes, yes, yes!

Whether there is a rise in crime after the sporting events? Whether really the fans of online acquaintances who are consistently estimated as the most attractive, as a result use smaller interest? Whether the truth that vegetarians miss less flights, and your e-mail address opens your intentions?

1. Users of the Chrome and Firefox browsers are the best employees. Among the hourly workers occupied with customer service and who are engaged in sales those who use these two user web browsers work better on indicators of assessment of employment and remain in a workplace longer (the HR agency obtaining data on workers from the Xerox company and other firms).

Besides direct medical consequences if those are available, use/non-use of a breakfast can be an indicator of the general lifestyle: people who miss a breakfast conduct more stressful life and & #171 more often; have more chances to be smokers, to work full time, not to be married, be less physically active and to drink more alcohol & #171;.

The purpose of predictive analytics is not limited to assessment of human presentiments by check of communications which, apparently, make sense. The predictive analysis goes further, exploring the boundless game field of the possible truth outside the kingdom of an intuition. And therefore it shows you communications which, apparently, throw down a challenge to logic. Whatever strange, mystical or unexpected these opening seemed to you, they really help to predict.

Explanation:

& #171; The fact that you found time to install [other browser], shows that you are the informed consumer … care for the efficiency and do active выбор».

8. The crime is higher, the it is more than trips to Uber. In San Francisco areas where prostitution, alcoholism, theft prospers and burglaries, most positively correlate with trips to Uber.

3. Men who miss a breakfast are more subject to coronary heart disease. Data of the analysis of health of the American men from 45 to 82 which miss a breakfast showed 27% above risk of development of coronary heart disease within the next 16 years (Medical researchers of Harvard University).

Explanation:

Several bright opening are given below, each of which is related to predicting variable (variables predictors) of such companies as Walmart, Uber, Harvard, Shell, Microsoft, Wikipedia. These examples are new in the corrected and added edition of my book & #171; To Count the future: Who will click, will buy, will tell lies or умрёт» (Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die).

4. The financial applications completed with observance of all rules of language indicate solvency of borrowers. The online borrower who filled an application form grammatical and graphically truly (the first letter & #8212; capital, other lower case), are reliable debtors. Those who filled out the application with exclusively lowercase letters are slightly less reliable payers. All capital indicate even more unreliable borrowers (The beginning company on providing financial services).

Explanation:

But be not upset. At application of the predictive analysis even if we have, as a rule, no strong knowledge of true relationships of cause and effect, it is frequent not so important. The value of the majority of projects was predicted thanks to amateur interest in understanding of the world and attempt to count that selects them. The freak show of surprising opening has predictive value even if it is not enough to explain these or those phenomena in itself.

6. Hurricanes with female names are more killing. Studying of the most destructive hurricanes in the United States within six last decades showed that the hurricanes bearing "female" names killed on average 42 persons, nearly three times more than 15 killed with hurricanes with "rather men's" names (A research of the universities).

Explanation:

Explanation:

It can be result & #171; dangerous form of implicit discrimination on the basis пола». Psychological experiments in a similar research & #171; assumed that it happens because hurricanes to woman's names & #8212; in comparison with hurricanes carriers of man's names & #8212; are perceived as less menacing and therefore prepare for them less … People systematically underestimate the vulnerability to hurricanes with women's названиями».

& #171; The Theory of politeness predicts negative correlation between the politeness and the power investigated стороны».

2. The status is higher, the it is less than politeness. Editors on Wikipedia who show politeness, most likely, will be elected to the "administrative" role providing more than the power. However, as soon as they are the elite, they become less polite (The researchers who are engaged in studying of behavior in Wikipedia).

& #171; We assumed that crime thrives among the non-resident населения… Those who go by Uber do not make anything criminal. Truly, children?"

Preparing for a natural cataclysm, people stock up with convenient and nonperishable products.

__________________

We entered the Golden Age of the predicting opening. The madness of numbers shakes up a gold mine bright, useful, and sometimes and the unexpected ideas.

Welcome to Ripley's museum "Trust or do not trust" scientific data - to a frikonomik of big data.

Data & #8212; the most powerful prospering artificial resource in the world. This unsalted, tasteless rest which is saved up substantially as a by-product of routine tasks in a mass order is preserved for storage as unnecessary stuff in the organization. Surprise! This heap of waste can do predictions. Here and the gold-rush & #8212 begins; pursuit of rare and significant gemstones.

5. Cookies & #171; Поп-тартс» before a hurricane. Before a hurricane sale of strawberry cookies & #171; Поп-тартс» increased almost seven times (Walmart).

And now prevention! You should not trust the answers to the question "why" given above. For each of the designated facts there are also other plausible explanations, but all of them are in most cases based only on an intuition, but not on scientific proofs. As a rule, the reasons of each opening described above are unknown. Each given explanation is the clean hypothesis which is not based on any firm facts confirming it.

7. The more employees are involved in work, the probability of accidents is less. Among employees of the oil refining companies increase in level of the involvement is connected with reduction by the whole 4 percent of number of the incidents connected with violation of safety (Shell).

Explanation:

Strict observance of grammatical rules reflects the general tendency to the correct execution something.

Source: http://avon-on-line24.ru

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