Section C: Nature and format of data The type of representation that can be used depends on a) the nature of the data, i.e., discrete or continuous data b) the format in which the data is given ungrouped or grouped Discrete data Discrete data can be displayed in bar charts (categorical data), bar-line
A set of data is a representation (i.e., a model) of the reality based on a numerical and mensurable scales. Data are called "primary type" data if the analyst has been involved in collecting the data relevant to his/her investigation. Otherwise, it is called "secondary type" data.
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Dec 31, 2019 · Objects of different types, except different numeric types, never compare equal. Furthermore, some types (for example, function objects) support only a degenerate notion of comparison where any two objects of that type are unequal.
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For this reason, a dimensional model looks very different from a relational model. There are basically two types of dimensional models: the star schema and snowflake schema. Often, a data warehouse model follows one schema or the other. However, both schemas are made up of the same two types of tables: facts and dimensions.
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Machine learning algorithms cannot work with categorical data directly. Categorical data must be converted to numbers. This applies when you are working with a sequence classification type problem and plan on using deep learning methods such as Long Short-Term Memory recurrent neural networks. In this tutorial, you will discover how to convert your input or […]
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data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. Many real world tasks are expressible in this model, as shown in the paper. Programs written in this functional style are ...