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President Trump’s approval rating stands at 41% this week among all Americans.
Reuters/Ipsos Data: Core Political (06/13/2018)
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Immigration remains the top of mind issue among all Americans. President Trump's approval remains steady at 41%.
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President Trump’s approval rating remains statistically unchanged from last week, with 42% of all Americans approving of the job he is doing as president.
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President Trump’s approval stands at 43% among all American adults as Attorney General Jeff Sessions continues to top the Reuters/Ipsos Wh’Exit poll.
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Let’s not cite the drop, just state what it is… This week, 42% of all Americans approve of President Trump’s job performance. Registered voters are in line with the rest of the general public, with 44% approving of the job Trump is doing as president. Party lines continue to show division with one third of Independents (33%), 85% of Republicans, and just 14% of Democrats approving of Trump’s job performance. Republicans and Democrats are neck and neck in this week’s generic ballot question – 33% of Americans would vote for a Democrat and 33% would vote for a Republican if the election were held today. Among registered voters, Democrats (39%) have a slight edge on Republicans (37%). Independents are evenly split between Republicans (15%), Democrats (17%) and a third party (18%). Healthcare (16%) continues to be perceived as the most important problem facing America today. The economy (13%) is a close second to healthcare. Terrorism (11%) and morality (11%) are tied, and round out of the top issues. Attorney General, Jeff Sessions, continues to lead the Wh’Exit Poll, with 17% of Americans reporting they believe he will be the next to resign or be fired from the White House. EPA Administrator, Scott Pruitt, is no longer perceived to be in the hot seat, with 10% of Americans reporting he will be next on the chopping block. Betsy Devos, Secretary of Education (10%) is tied for second place with Scott Pruitt.
Reuters/Ipsos Data: Core Political (05/30/2018)
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President Trump’s approval rating stands at 41% this week among all Americans.
Reuters/Ipsos Data: Core Political (06/13/2018)
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Anne Marie Moran
Immigration remains the top of mind issue among all Americans. President Trump's approval remains steady at 41%.
Reuters/Ipsos Data: Core Political (07/03/2018)
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Ipsos Public Affairs
President Trump’s approval rating remains statistically unchanged from last week, with 42% of all Americans approving of the job he is doing as president.
Reuters/Ipsos Data: Core Political (06/27/2018)
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Ipsos Public Affairs
President Trump’s approval stands at 43% among all American adults as Attorney General Jeff Sessions continues to top the Reuters/Ipsos Wh’Exit poll.
Reuters/Ipsos Data: Core Political (06/20/2018)
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Ipsos Public Affairs
Let’s not cite the drop, just state what it is… This week, 42% of all Americans approve of President Trump’s job performance. Registered voters are in line with the rest of the general public, with 44% approving of the job Trump is doing as president. Party lines continue to show division with one third of Independents (33%), 85% of Republicans, and just 14% of Democrats approving of Trump’s job performance. Republicans and Democrats are neck and neck in this week’s generic ballot question – 33% of Americans would vote for a Democrat and 33% would vote for a Republican if the election were held today. Among registered voters, Democrats (39%) have a slight edge on Republicans (37%). Independents are evenly split between Republicans (15%), Democrats (17%) and a third party (18%). Healthcare (16%) continues to be perceived as the most important problem facing America today. The economy (13%) is a close second to healthcare. Terrorism (11%) and morality (11%) are tied, and round out of the top issues. Attorney General, Jeff Sessions, continues to lead the Wh’Exit Poll, with 17% of Americans reporting they believe he will be the next to resign or be fired from the White House. EPA Administrator, Scott Pruitt, is no longer perceived to be in the hot seat, with 10% of Americans reporting he will be next on the chopping block. Betsy Devos, Secretary of Education (10%) is tied for second place with Scott Pruitt.
Reuters/Ipsos Data: Core Political (05/30/2018)
Reuters/Ipsos Data: Core Political (05/30/2018)
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Crime in India - compendium 2008 : By National Crime Records Bureau, Ministry...
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The concern about national security has increased significantly since the 26/11 attacks at Mumbai, India. However, information and technology overload hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis holds the promise of alleviating such problem. In this paper we use a clustering/classify based model to anticipate crime trends. The data mining techniques are used to analyze the city crime data from Tamil Nadu Police Department. The results of this data mining could potentially be used to lessen and even prevent crime for the forth coming years
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
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Waqas Tariq
Table of Contents Introduction 2 Descriptive statistics 3 Violent and property crimes 3 Categories of Violent and property crimes 5 Graphical Representation 9 Histogram 9 Boxplot 11 Scatterplot 12 Confidence interval 13 Murder 13 Non-negligent manslaughter rate 14 Paired t test 15 Ethical issues 17 Conclusion 18 Introduction I consider data sets namely number of violent crimes, number of property crimes, violent crime rates, and property crime rates for the years 1960 through 2012 for my analysis. Violent crime have has 4 categories Murder and non-negligent Manslaughter, Legacy rape /1, Robbery and Aggravated assault. Property crimes has 3 categories Burglary, Larceny-theft and Motor vehicle theft. Descriptive statisticsViolent and property crimes The table of descriptive statistics for total of violent crimes, total of property crimes, violent crime rates, and property crime rates along with population is given below. Population Violent crime total Property crime total Violent Crime rate Property crime rate Mean 1027647.396 2332.321 51414.22642 213.0736 4940.675 Standard Error 30163.37005 152.2037 2356.550621 11.26415 179.483 Median 1062000 2744 54573 247.6 5143.3 Mode 1187000 #N/A #N/A 231.9 #N/A Standard Deviation 219592.6486 1108.06 17155.94748 82.00426 1306.656 Sample Variance 48220931312 1227797 294326533.9 6724.699 1707349 Kurtosis -1.241236819 -0.76307 -0.34898103 0.141618 -0.73214 Skewness -0.208033283 -0.78788 -0.684862884 -1.25813 -0.43517 Range 757318 3470 67533 277.7 4906.3 Minimum 632772 138 14405 21.8 2276.5 Maximum 1390090 3608 81938 299.5 7182.8 Sum 54465312 123613 2724954 11292.9 261855.8 Count 53 53 53 53 53 There are 53 observation for each year from 1960 to 2012. All the variables total of violent crimes, total of property crimes, violent crime rates, and property crime rates are observed to be skewed to the left. For a skewed data, median is considered as the best measure of central tendency. Median is the middle observation in a series of data when arranged in ascending order. The value of median for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2744, 54573, 247.6, and 5143.3 respectively. Mean is defined as the sum of all observation divided by total number of observations. The mean value for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2332.321, 51414.22, 213.07 and 4940.67 respectively. The value of standard deviation and variance is a measure of dispersion around mean. The value of standard deviation for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 1108.06, 17155.94, 82 and 1306.65. The low value of standard deviation of Violent Crime rate and Property crime rate implies that its mean is reliable. But high value of standard deviation of total of violent crimes and total of property crimes implies that mean is not reliable. Categories of Violen ...
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Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
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Why is Cybersecurity so important today than ever before? Because it is one of the 10 most important risks facing human race. Data thefts and breaches are causing a great deal of damage to businesses both in terms of revenue and reputation losses.
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Table of Contents Introduction 2 Descriptive statistics 3 Violent and property crimes 3 Categories of Violent and property crimes 5 Graphical Representation 9 Histogram 9 Boxplot 11 Scatterplot 12 Confidence interval 13 Murder 13 Non-negligent manslaughter rate 14 Paired t test 15 Ethical issues 17 Conclusion 18 Introduction I consider data sets namely number of violent crimes, number of property crimes, violent crime rates, and property crime rates for the years 1960 through 2012 for my analysis. Violent crime have has 4 categories Murder and non-negligent Manslaughter, Legacy rape /1, Robbery and Aggravated assault. Property crimes has 3 categories Burglary, Larceny-theft and Motor vehicle theft. Descriptive statisticsViolent and property crimes The table of descriptive statistics for total of violent crimes, total of property crimes, violent crime rates, and property crime rates along with population is given below. Population Violent crime total Property crime total Violent Crime rate Property crime rate Mean 1027647.396 2332.321 51414.22642 213.0736 4940.675 Standard Error 30163.37005 152.2037 2356.550621 11.26415 179.483 Median 1062000 2744 54573 247.6 5143.3 Mode 1187000 #N/A #N/A 231.9 #N/A Standard Deviation 219592.6486 1108.06 17155.94748 82.00426 1306.656 Sample Variance 48220931312 1227797 294326533.9 6724.699 1707349 Kurtosis -1.241236819 -0.76307 -0.34898103 0.141618 -0.73214 Skewness -0.208033283 -0.78788 -0.684862884 -1.25813 -0.43517 Range 757318 3470 67533 277.7 4906.3 Minimum 632772 138 14405 21.8 2276.5 Maximum 1390090 3608 81938 299.5 7182.8 Sum 54465312 123613 2724954 11292.9 261855.8 Count 53 53 53 53 53 There are 53 observation for each year from 1960 to 2012. All the variables total of violent crimes, total of property crimes, violent crime rates, and property crime rates are observed to be skewed to the left. For a skewed data, median is considered as the best measure of central tendency. Median is the middle observation in a series of data when arranged in ascending order. The value of median for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2744, 54573, 247.6, and 5143.3 respectively. Mean is defined as the sum of all observation divided by total number of observations. The mean value for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2332.321, 51414.22, 213.07 and 4940.67 respectively. The value of standard deviation and variance is a measure of dispersion around mean. The value of standard deviation for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 1108.06, 17155.94, 82 and 1306.65. The low value of standard deviation of Violent Crime rate and Property crime rate implies that its mean is reliable. But high value of standard deviation of total of violent crimes and total of property crimes implies that mean is not reliable. Categories of Violen ...
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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
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The CNIC Information System is a comprehensive database managed by the National Database and Registration Authority (NADRA) of Pakistan. It serves as the primary source of identification for Pakistani citizens and residents, containing vital information such as name, date of birth, address, and biometric data.
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CNIC Information System with Pakdata Cf In Pakistan
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
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