Examples of using Dataset in English and their translations into Urdu
{-}
-
Ecclesiastic
-
Colloquial
-
Computer
However, all the data found in the dataset are or were already publicly available, so releasing this dataset merely presents it[in] a more useful form.
In October of 2006, Netflix released a dataset containing 100 million movie ratings from about about 500,000 customers(we will consider the privacy implications of this data release in Chapter 6).
It was quickly discovered that the data were not as anonymous as the researchers thought, and reporters from the New York Times were able to identify someone in the dataset with ease(Barbaro and Zeller 2006).
The result of this collaborative effort is a massive dataset summarizing the information embedded in these manifestos, and this dataset has been used in more than 200 scientific papers.
Advanced Trellis views, keeps the headers positioned at the top of the view, even as a user scrolls down the dataset.
I call this a computer-assisted human computation project because, rather than having humans solve a problem, it has humans build a dataset that can be used to train a computer to solve the problem.
provide information about people, but Anthony Tockar realized that this taxi dataset actually contained lots of potentially sensitive information about people.
In response to the data release, one of the authors was asked on Twitter:“This dataset is highly re-identifiable. Even includes usernames? Was any work at all done to anonymize it?” His response was“No. Data is already public.”(Zimmer 2016; Resnick 2016).
The easiest way to process scraped data is to access the data as a JSON or XML object, as this enables the data to be easily manipulated and queried. The JSON will be structured in the following general format with the dataset name as the object attribute, itself containing an array of objects with each column name as another attribute.
You will notice that when you select the Extract Data action a series of data items to extract immediately becomes available to download in the bottom left hand corner of the screen. These are properties of the whole page that you can download. To choose one, just select it from the list of options and click Next to add the data to the dataset.
The two ingredients are 1 a digital trace dataset that is wide but thin(that is, it has many people but not the information that you need about each persons) and 2 a survey that is narrow but thick(that is, it has only a few people, but it has the information that you need about those people).
Sometimes when constructing a dataset in the Web Scraper more values are added into one column than another. In the example below after the first page is scraped the name John is added to the Name column along with three colors and on the next page the name David is added with along with another two colors. To give the following dataset. .
Large datasets are a means to an end;
Third, large datasets enable researchers to detect small differences.
Finally, in addition to studying rare events and studying heterogeneity, large datasets also enable researchers to detect small differences.
You will work with some large multi-million record datasets, and also mine Twitter feeds.
One way that researchers attempt to deal with this situation is to de-identify datasets that have sensitive information.
In conclusion, big datasets are not an end in themselves,
Some national governments have established procedures for enabling data access for some datasets, but the process is especially ad hoc at the state and local levels.
Metcalf(2016) makes the argument that“publicly available datasets containing private data are among the most interesting to researchers