Technology, science and the universe
Domo
Domo is a cloud-based business intelligence platform that provides data visualization and business analytics. Its intuitive design allows users, regardless of their technical level, to access…
Data and analyticsDot Plot
A dot plot is a type of graphical representation that uses dots to show the values of a dataset. Each dot in the plot represents an individual observation and is placed on a coordinate system, where…
Data and analyticsDouble
The 'double' data type is a numerical representation that allows storing double-precision floating-point numbers. This means it can handle a greater number of significant digits compared to the…
Data and analyticsDownstream
Downstream refers to the direction of data flow from a source to a destination in a network. This term is fundamental in the field of computer networks, where it is used to describe how data is…
Data and analyticsDQL
DQL, or Doctrine Query Language, is a query language specifically designed to work with the Doctrine ORM (Object-Relational Mapping) in PHP applications. This language allows developers to interact…
Data and analyticsDrawable
Drawing, in the context of data visualization, refers to a general abstraction that allows for the graphical representation of information in a clear and understandable manner. This technique is…
Data and analyticsDremio
Dremio is a data-as-a-service platform that simplifies and accelerates access to data for analysis. Its main focus is to enable organizations to integrate, transform, and analyze data from various…
Data and analyticsDrill-down
Drill-down is the process of breaking down data into finer levels of detail, allowing for a more thorough and comprehensible analysis of information. This approach is fundamental in various…
Data and analyticsdrop (data manipulation)
The 'drop' method is a function used in the context of data manipulation, especially in libraries like Pandas in Python. Its main objective is to remove rows or columns from a DataFrame, which is a…
Data and analyticsdropna
The 'dropna' method is a fundamental function in data analysis libraries like Pandas, used to remove missing values from a DataFrame or Series. This method is essential for data cleaning, as null…
Data and analyticsDruid
Druid is a high-performance real-time analytics database designed for fast aggregations and queries over large datasets. Its architecture is optimized for analytical workloads, allowing organizations…
Data and analyticsDStream
DStream, or Discretized Stream, is a fundamental concept in Apache Spark Streaming that represents a continuous stream of data. This model allows for real-time data processing by dividing the stream…
Data and analyticsDtype
The 'dtype' object in NumPy is fundamental for data manipulation in multidimensional arrays. This object describes the data type of the elements that make up an array, allowing NumPy to optimize…
Data and analyticsDual Axis
A dual axis in a chart is a visual tool that allows the representation of two different data sets in the same graphical space, using two vertical axes or one vertical and one horizontal axis. This…
Data and analyticsDual Graph
A dual graph is a mathematical representation used in graph theory to describe the relationships between the faces of a planar graph. In a planar graph, edges connect vertices and form regions called…
Data and analyticsDUPLICATE
The term 'duplicate' refers to a value that appears more than once in a dataset. In the context of data analysis, duplicates can have a significant impact on results. Identifying and managing…
Data and analyticsduplicated
The 'duplicated' method is a function used in data analysis, especially in libraries like pandas in Python. This method returns a boolean Series indicating whether each row in a DataFrame is a…
Data and analyticsDuplication Elimination
Duplicate removal is a fundamental process in code and data refactoring, aimed at improving the maintainability and efficiency of a system. This process involves identifying and eliminating…
Data and analyticsDurability
Durability in the context of database systems refers to the ability of a system to maintain data integrity despite failures. This means that even in adverse situations, such as hardware failures…
Data and analyticsDYNAMIC
The term 'dynamic' in the context of data analysis refers to values that can change based on the filters or slicers applied in a data model. This feature allows reports and visualizations to be…
Data and analyticsDynamicArray
A dynamic array is a data structure that allows storing a collection of elements in such a way that its size can change during the execution of the program. Unlike static arrays, which have a fixed…
Artificial intelligenceDynamic Batch Size
Dynamic batch size is a concept in the field of machine learning model training that refers to the ability to adjust the number of data samples processed in each iteration of training. Unlike a fixed…
Data and analyticsDynamic Computation Graph
Dynamic Computation Graph is a fundamental feature of certain deep learning frameworks that allows the computation graph to be defined and modified in real-time as the code is executed. This…
Data and analyticsDynamic Connectivity
Dynamic connectivity is a fundamental property in graph theory that refers to the ability of a graph to efficiently update connectivity information between its nodes as edges are added or removed…
