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Interactive data transformation (IDT) [13] is an emerging capability that allows business analysts and business users the ability to directly interact with large datasets through a visual interface, [9] understand the characteristics of the data (via automated data profiling or visualization), and change or correct the data through simple ...
Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.
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In the data transformation stage, a series of rules or functions are applied to the extracted data in order to prepare it for loading into the end target. An important function of transformation is data cleansing, which aims to pass only "proper" data to the target. The challenge when different systems interact is in the relevant systems ...
The output of the executed code is the text file generated by the template. [2] By using the Text Transformation class, T4 can also be run entirely from within a .NET application, eliminating the need for the end user to have Visual Studio installed. T4 is used within Microsoft in ASP.NET MVC for the creation of the views and controllers, ADO ...
The logarithm transformation and square root transformation are commonly used for positive data, and the multiplicative inverse transformation (reciprocal transformation) can be used for non-zero data. The power transformation is a family of transformations parameterized by a non-negative value λ that includes the logarithm, square root, and ...
Mesh data is usually stored using 32-bit single-precision floats for the vertices, however in some situations it is acceptable to reduce the precision to only 16-bit half-precision, requiring only half the storage at the expense of some precision. Mesh quantization can also be done with 8-bit or 16-bit fixed precision depending on the requirements.
A template processor (also known as a template engine or template parser) is software designed to combine templates with data (defined by a data model) to produce resulting documents or programs. [1] [2] [3] The language that the templates are written in is known as a template language or templating language.