## Quintiles

Definition of Quintiles Quintiles: A quintile is a statistical division of a data set into five parts, each containing one-fifth of the data.

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## Query Optimization

## Query

## Quartile

## Quantization

## Quantitative

## Quality Control

ByDavis

Definition of Query Optimization Query Optimization: Query optimization is a technique used by database administrators to improve the performance of database queries. It involves analyzing the structure of the query and the data in the database, and then choosing an execution plan that will produce the results as quickly as possible.

ByDavis

Definition of Query Query: A query is a question or request for information. In data science, a query is a request for data that meets certain criteria. For example, you might want to know how many people live in your city or what the average temperature is in December. To answer a query, you need…

ByDavis

Definition of Quartile Quartile: A quartile is a statistic that divides a data set into four equal parts. The first quartile is the lowest 25% of the data, the second quartile is the lower 50% of the data, the third quartile is the upper 50% of the data, and the fourth quartile is the highest…

ByDavis

Definition of Quantization Quantization: Quantization is the process of reducing the number of unique values in a set of data. This is often done by dividing the data into bins and assigning a unique value to each bin. This technique is often used in data science to make sure that data can be processed and…

ByDavis

Definition of Quantitative Quantitative: Quantitative means numerical. Quantitative data is data that can be measured or counted. Quantitative refers to the use of numbers and mathematical models to understand and analyze data. It is a branch of statistics that deals with the measurement, analysis, interpretation, presentation, and organization of data.

ByDavis

Definition of Quality Control Quality Control: In the context of data science, quality control is the process of ensuring that data is accurate and reliable. This can be done through a variety of techniques, such as checking for inconsistencies, verifying the source of the data, and performing statistical tests. By making sure that data is…