Alation’s data accessibility platform is generally available now and used in production at leading data-driven organizations like eBay, MarketShare and Inflection for collaborative analytics, data search and discovery, data optimization and effective data governance

The Sentimen Evaluation of Customer Review in Las Vegas City Restaurants

The Sentimen Evaluation of Customer Review in Las Vegas City Restaurants

The Sentimen Evaluation of Customer Review in Las Vegas City Restaurants

The Sentimen Evaluation of Customer Review in Las Vegas City Restaurants

The Sentimen Evaluation of Customer Review in Las Vegas City Restaurants

The Sentimen Evaluation of Customer Review in Las Vegas City Restaurants

The Sentimen Evaluation of Customer Ratings & Review Restaurants in Las Vegas City

Coursera Capstone Final - Yelp Dataset

Coursera Capstone Final - Yelp Dataset

OK, you've made your shiny app, now it's time to make your pitch. You get 5 slides (inclusive of the title slide) to pitch a your app. You're going to create a web page using Slidify or Rstudio Presenter with an html5 slide deck. Here's what you need 5 slides to pitch our idea done in Slidify or Rstudio Presenter Your presentation pushed to github or Rpubs A link to your github or Rpubs presentation pasted into the text box below Your presentation must satisfy the following It must be done in Slidify or Rstudio Presenter It must be 5 pages It must be hosted on github or Rpubs It must contained some embedded R code that gets run when slidifying the document

Using devices such as Jawbone Up, Nike FuelBand, and Fitbit it is now possible to collect a large amount of data about personal activity relatively inexpensively. These type of devices are part of the quantified self movement - a group of enthusiasts who take measurements about themselves regularly to improve their health, to find patterns in their behavior, or because they are tech geeks. One thing that people regularly do is quantify how much of a particular activity they do, but they rarely quantify how well they do it. In this project, your goal will be to use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. They were asked to perform barbell lifts correctly and incorrectly in 5 different ways. More information is available from the website here: http://groupware.les.inf.puc-rio.br/har (see the section on the Weight Lifting Exercise Dataset).

You work for Motor Trend, a magazine about the automobile industry. Looking at a data set of a collection of cars, they are interested in exploring the relationship between a set of variables and miles per gallon (MPG) (outcome). They are particularly interested in the following two questions: * “Is an automatic or manual transmission better for MPG” * "Quantify the MPG difference between automatic and manual transmissions" The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).

Statistical Inference

In this project you will investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution can be simulated in R with rexp(n, lambda) where lambda is the rate parameter. The mean of exponential distribution is 1/lambda and the standard deviation is also 1/lambda. Set lambda = 0.2 for all of the simulations. You will investigate the distribution of averages of 40 exponentials. Note that you will need to do a thousand simulations.

In this project you will investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution can be simulated in R with rexp(n, lambda) where lambda is the rate parameter. The mean of exponential distribution is 1/lambda and the standard deviation is also 1/lambda. Set lambda = 0.2 for all of the simulations. You will investigate the distribution of averages of 40 exponentials. Note that you will need to do a thousand simulations.

Health and Economic Impact of Weather Events in the US Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This project involves exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.