A dataset is a large file of organized (structured) or unorganized data containing everything from text and numbers to images, video and sound. As a general rule, datasets contain enormous amounts of data to perform data analysis and extract patterns (a branch of big data ) or train Artificial Intelligence. However, some data sets are more significant than others.
When a dataset is organized coherently, it greatly facilitates the analysis and understanding process.
In addition to data, we can find the following elements in a structured dataset.
Types of data sets according to their format
They are the most common and have the advantage that they are intuitive and easy to understand so that users can use them without high technical knowledge. Relational databases and spreadsheets are examples of structured data sets.
On the other hand, they allow efficient and fast analysis. They are also used in various sectors, such as marketing and finance.
The data is disorganized, making it more challenging to process and analyze. A perfect example of an unstructured data set would be emails within the email.
Like structured data sets, within this type, we can also encompass different datasets depending on their format.
First, you should know that anyone can create a data set by storing data and information digitally. However, some users decide to publish them (autonomously or because it is part of their job) so that the public can access them.
In that sense, we can find public (free) or private data sets.
Any user can access public data sets, and they can be found on specific platforms such as Google Data Search or FiveThirtyEight. The first is the largest online dataset search engine regarding company information. The second houses extensive data on politics, sports and global surveys. Both are reliable; you can use them for free when working on your projects.
For their part, private data sets are usually purchased by private companies or organizations. Because the data is not public, special care must be taken with its privacy when storing and processing it, as it is usually the target of hackers—cyber attacks.
Within private data sets, we also find susceptible government data that is not in the public domain; therefore, not everyone can access it.
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