<p lang="EN-US" paraeid="{de60e178-13ee-4302-90d3-29b274a8d004}{187}" paraid="832227846" >Hitting 62.8tn figures using a supercomputer,&nbsp;researchers&nbsp;from Switzerland&nbsp;have calculated the mathematical constant&nbsp;‘pi’&nbsp;to a new world-record level of exactitude.&nbsp;</p>

<p lang="EN-US" paraeid="{128bc58c-1e2c-410b-bf4c-61c5ba450e66}{225}" paraid="1994517593" >In a statement,&nbsp;Graubuenden&nbsp;University of Applied Sciences said,&nbsp;“The calculation took 108 days and nine hours.”&nbsp;</p>

<p lang="EN-US" paraeid="{9a53b11f-b9f4-487d-9d26-e9d6faa534b4}{185}" paraid="835453923" >According to the university’s Centre for Data Analytics,&nbsp;Visualisation&nbsp;and Simulation, the&nbsp;efforts were “almost twice as fast as the record Google set using its cloud in 2019, and 3.5 times as fast as the previous world record in 2020.”&nbsp;</p>

<p lang="EN-US" paraeid="{cd3fc76f-a1a0-4f8c-a0ce-e14ad452e975}{52}" paraid="1768598711" >These researchers&nbsp;are&nbsp;waiting for the Guinness Book of Records to certify the feat. Until then,&nbsp;these experts&nbsp;have&nbsp;revealed only the final 10 digits calculated for pi. These are&nbsp;7817924264.&nbsp;</p>

<p lang="EN-US" paraeid="{de60e178-13ee-4302-90d3-29b274a8d004}{240}" paraid="406944552" >In&nbsp;the previous world&nbsp;record,&nbsp;pi’s&nbsp;calculation&nbsp;was&nbsp;achieved&nbsp;till&nbsp;50tn figures.&nbsp;</p>

<p lang="EN-US" paraeid="{de60e178-13ee-4302-90d3-29b274a8d004}{247}" paraid="546716405" >The constant&nbsp;Pi represents the ratio of a circle’s circumference to its diameter, with an infinite number of digits following the decimal point.&nbsp;</p>

<p lang="EN-US" paraeid="{7012c59a-b3c6-4ece-bd8b-80fac2d0ea39}{200}" paraid="661164929" >Nevertheless, the researchers continue to push calculations for the constant,&nbsp;whose first 10 figures are 3.141592653,&nbsp;further&nbsp;with the help of&nbsp;computers.&nbsp;</p>

<p lang="EN-US" paraeid="{f4ec4771-f6c3-469d-914a-faa6466c2b13}{6}" paraid="823569710" >As per the&nbsp;Swiss team,&nbsp;the experience they built calculating pi could be applied in other areas,&nbsp;such as “RNA analysis, simulations of fluid dynamics and textual analysis.”&nbsp;</p>


Hitting 62.8tn figures using a supercomputer, researchers from Switzerland have calculated the mathematical constant ‘pi’ to a new world-record level of exactitude.

Hitting 62.8tn figures using a supercomputer, researchers from Switzerland have calculated the mathematical constant ‘pi’ to a new world-record level of exactitude. In a statement, Graubuenden University of Applied Sciences said, “The calculation took 108 days and nine hours.” According to the university’s Centre for Data Analytics, Visualisation and Simulation, the efforts were “almost twice as fast as the record Google set using its cloud in 2019, and 3.5 times as fast as the previous world record in 2020.” These researchers are waiting for the Guinness Book of Records to certify the feat. Until then, these experts have revealed only the final 10 digits calculated for pi. These are 7817924264. In the previous world record, pi’s calculation was achieved till 50tn figures. The constant Pi represents the ratio of a circle’s circumference to its diameter, with an infinite number of digits following the decimal point. Nevertheless, the researchers continue to push calculations for the constant, whose first 10 figures are 3.141592653, further with the help of computers. As per the Swiss team, the experience they built calculating pi could be applied in other areas, such as “RNA analysis, simulations of fluid dynamics and textual analysis.”

Researchers calculate constant pi to a new record 62.8tn figures

<p>Today is World Statistics Day --&nbsp;a day designated to remind us of the importance&nbsp;of numbers, figures, and&nbsp;data&nbsp;in our&nbsp;lives.</p>

<p>When we quote figures, it adds&nbsp;authenticity and gravity to what we are saying or writing. On the one hand, figures back up our statements but on&nbsp;the other,&nbsp;numbers can be manipulated to suit our needs. By changing the mere representation of the data, we can bend figures&nbsp;to drive home our side of the argument.</p>

<p>The following examples will make this clear:&nbsp;&nbsp;</p>

<div class="ui-state-default" contenteditable="false"><img alt="" draggable="false" src="http://s.wionews.com/photos/revised_slide_6-20161021063856.jpg" />
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<p>For the same set of data, the average figures differ dramatically. (WION)</p>
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<p>The above table shows the monthly salary of seven individuals. If one chooses mean&nbsp;as the tool for calculating the average salary, then it is easy to say that monthly salaries in the world are increasing. However, looking at other average figures, such as&nbsp;mode and median, a different&nbsp;picture emerges.&nbsp;</p>

<p>Pooja&#39;s salary of&nbsp;$1,000,000 skews the mean&nbsp;figure to a higher level.&nbsp;</p>

<p>Another example shows how different visualisations of the same data can mislead people</p>

<div class="ui-state-default" contenteditable="false"><img alt="" draggable="false" src="http://s.wionews.com/photos/slide_3-2-20161020101705.jpg" />
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<p>If the units are not mentioned on the axis, then the reader does not get a clear picture from the represented data. (WION)</p>
</div>
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<p>Figure 1 does not say much as the unit is not mentioned on the y-axis. Does this graph represents width, volume, weight,&nbsp;height or something else?</p>

<p>Figure 2 represents weight on the y-axis,&nbsp;thus&nbsp;giving a meaning to the graphical representation. It shows the weight of apples from&nbsp;each individual.&nbsp;We can call this&nbsp;a fair graph.</p>

<div class="ui-state-default" contenteditable="false"><img alt="" draggable="false" src="http://s.wionews.com/photos/slide_4-20161020102002.jpg" />
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<p>The scale on the axis can change what one draws from the statistical representation. (WION)</p>
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<p>Figure 3 represents the same data but the scale of the y-axis has changed, showing that the weight of apples with Joseph is much higher compared to the others.</p>

<p>Figure 4 again represents the same set of data but the scale of the&nbsp;y-axis has&nbsp;changed again. It appears that all three -&nbsp;Abdul, Rahul, and Joseph -&nbsp;have apples of the same weight with them.&nbsp;</p>

<div class="ui-state-default" contenteditable="false"><img alt="" draggable="false" src="http://s.wionews.com/photos/slide_5-20161020101447.jpg" />
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<p>By changing data visualisation, the magnitude of the statistics changes phenomenally. (WION)</p>
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<p>In Figure 5, each apple equals 10 units. This is a fair representation, showing the weight of the apples taken from the farm of each individual.</p>

<p>Figure 6&nbsp;distorts the data.&nbsp;To show the differences in the weights, this figure changes the height of each apple&nbsp;to represent the&nbsp;weight of the&nbsp;apples.&nbsp;It is a skewed representation which blows up&nbsp;the weight of apples from Joseph&#39;s farms.&nbsp;</p>

<p>There is another interesting example to explain how certain statistical representations&nbsp;can give the wrong picture.</p>

<div class="ui-state-default" contenteditable="false"><img alt="" draggable="false" src="http://s.wionews.com/photos/stastics%20infograph_creative2-20161020094614.jpg" />
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<p>It is often quoted that the average temperature of Oklahoma city is 60 degrees but this figure gives a wrong picture about the weather of the city. (WION)</p>
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<p>One often hears that the average temperature of&nbsp;Oklahoma City is 60 degrees Fahrenheit. From hearing the average temperature, one may think Oklahoma City&nbsp;has the same balmy&nbsp;weather as&nbsp;California. However, a closer look at the figures will reveal&nbsp;that Oklahoma City actually has extreme weather. In summers its very hot and in winters it is very cold, far removed from the pleasant weather of California.&nbsp;</p>

<p>&nbsp;</p>

<div class="ui-state-default" contenteditable="false"><img alt="" draggable="false" src="http://s.wionews.com/photos/stasticts%20infograph-20161020101150.jpg" />
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<p>An upward sloping graph. (WION)</p>
</div>
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<p>The above graph published in FORTUNE magazine displays&nbsp;the growth of a certain business. Looking at the graph, one may think that the company has experienced phenomenal growth over the years. But there are no figures mentioned on the y-axis. So, it can&#39;t be stated with certainty whether the said company added a few&nbsp;pennies&nbsp;each year to its growth or a few millions.&nbsp;</p>

<p>Thus, it is important to understand the importance of numbers and why&nbsp;one should be careful when using them. Numbers&nbsp;should give&nbsp;authentic information to people rather than misleading them.&nbsp;</p>

<p>We sign off with another set of weird&nbsp;statistics:</p>

<p>&#39;Odds of being killed by falling out of bed: 1 in 2 million</p>

<p>Odds of being killed in a plane crash: 1 in 25 &nbsp;million&#39;</p>

<p>Looking at this makes me think that&nbsp;I should find another place to sleep.</p>

<p>&nbsp;</p>

<p>&nbsp;</p>

<p>&nbsp;</p>


By changing the mere representation of data, we can bend data to drive home our side of the argument

Today is World Statistics Day -- a day designated to remind us of the importance of numbers, figures, and data in our lives. When we quote figures, it adds authenticity and gravity to what we are saying or writing. On the one hand, figures back up our statements but on the other, numbers can be manipulated to suit our needs. By changing the mere representation of the data, we can bend figures to drive home our side of the argument. The following examples will make this clear: For the same set of data, the average figures differ dramatically. (WION) × The above table shows the monthly salary of seven individuals. If one chooses mean as the tool for calculating the average salary, then it is easy to say that monthly salaries in the world are increasing. However, looking at other average figures, such as mode and median, a different picture emerges. Pooja's salary of $1,000,000 skews the mean figure to a higher level. Another example shows how different visualisations of the same data can mislead people If the units are not mentioned on the axis, then the reader does not get a clear picture from the represented data. (WION) × Figure 1 does not say much as the unit is not mentioned on the y-axis. Does this graph represents width, volume, weight, height or something else? Figure 2 represents weight on the y-axis, thus giving a meaning to the graphical representation. It shows the weight of apples from each individual. We can call this a fair graph. The scale on the axis can change what one draws from the statistical representation. (WION) × Figure 3 represents the same data but the scale of the y-axis has changed, showing that the weight of apples with Joseph is much higher compared to the others. Figure 4 again represents the same set of data but the scale of the y-axis has changed again. It appears that all three - Abdul, Rahul, and Joseph - have apples of the same weight with them. By changing data visualisation, the magnitude of the statistics changes phenomenally. (WION) × In Figure 5, each apple equals 10 units. This is a fair representation, showing the weight of the apples taken from the farm of each individual. Figure 6 distorts the data. To show the differences in the weights, this figure changes the height of each apple to represent the weight of the apples. It is a skewed representation which blows up the weight of apples from Joseph's farms. There is another interesting example to explain how certain statistical representations can give the wrong picture. It is often quoted that the average temperature of Oklahoma city is 60 degrees but this figure gives a wrong picture about the weather of the city. (WION) × One often hears that the average temperature of Oklahoma City is 60 degrees Fahrenheit. From hearing the average temperature, one may think Oklahoma City has the same balmy weather as California. However, a closer look at the figures will reveal that Oklahoma City actually has extreme weather. In summers its very hot and in winters it is very cold, far removed from the pleasant weather of California. An upward sloping graph. (WION) × The above graph published in FORTUNE magazine displays the growth of a certain business. Looking at the graph, one may think that the company has experienced phenomenal growth over the years. But there are no figures mentioned on the y-axis. So, it can't be stated with certainty whether the said company added a few pennies each year to its growth or a few millions. Thus, it is important to understand the importance of numbers and why one should be careful when using them. Numbers should give authentic information to people rather than misleading them. We sign off with another set of weird statistics: 'Odds of being killed by falling out of bed: 1 in 2 million Odds of being killed in a plane crash: 1 in 25 million' Looking at this makes me think that I should find another place to sleep.

World Statistics Day: Why numbers are important in our lives

Premier League clubs have already splashed out 475 million Pounds ($631 million) since the transfer window reopened in July, according to business analysts Deloitte.<br />
<br />
Bolstered by the increased revenue from the Premier League&#39;s new 5.1 billion television deals, the 20 top-flight teams have been throwing money at a host of new signings, and Deloitte says the spending could shatter the 1 billion mark for the first time in the pre-season window.<br />
<br />
The current figure of 475 million is slightly less than the 515 million spent by Premier League teams at the same stage in 2015, which led to an eventual 870 million outlay in the whole window.<br />
<br />
Leroy Sane&#39;s million dollar move to Manchester City is not included in the figures, as it was only confirmed on Tuesday. And the spending figure would rise significantly if Manchester United complete their reported world record 100 million move for Juventus midfielder Paul Pogba.<br />
<br />
Chelsea, linked with a 65 million deal for Everton striker Romelu Lukaku, could also add to the rising transfer total.<br />
<br />
&quot;The prospect of increased revenue from the new broadcast deals next season has encouraged Premier League clubs to invest in this window in order to be as competitive as possible,&quot; Alex Thorpe, senior manager in the sports business group at Deloitte, told the BBC.<br />
<br />
&quot;With a month of the window still to go, some significant deals in the pipeline and a number of clubs yet to enter the market, we may see another summer of record Premier League spending, possibly breaking the one billion barrier for the first time.&quot;<br />
<br />
(AFP)

Leroy Sane's million dollar move to Manchester City wasn't included in the figures, as it was only confirmed on Tuesday

Premier League clubs have already splashed out 475 million Pounds ($631 million) since the transfer window reopened in July, according to business analysts Deloitte. Bolstered by the increased revenue from the Premier League's new 5.1 billion television deals, the 20 top-flight teams have been throwing money at a host of new signings, and Deloitte says the spending could shatter the 1 billion mark for the first time in the pre-season window. The current figure of 475 million is slightly less than the 515 million spent by Premier League teams at the same stage in 2015, which led to an eventual 870 million outlay in the whole window. Leroy Sane's million dollar move to Manchester City is not included in the figures, as it was only confirmed on Tuesday. And the spending figure would rise significantly if Manchester United complete their reported world record 100 million move for Juventus midfielder Paul Pogba. Chelsea, linked with a 65 million deal for Everton striker Romelu Lukaku, could also add to the rising transfer total. "The prospect of increased revenue from the new broadcast deals next season has encouraged Premier League clubs to invest in this window in order to be as competitive as possible," Alex Thorpe, senior manager in the sports business group at Deloitte, told the BBC. "With a month of the window still to go, some significant deals in the pipeline and a number of clubs yet to enter the market, we may see another summer of record Premier League spending, possibly breaking the one billion barrier for the first time." (AFP)

English Premier League clubs' transfer spending nears 500 million

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