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Data and analytics

Plot grid

The plot grid is a visual tool consisting of horizontal and vertical lines that overlay a graph, facilitating the reading and interpretation of the represented data. These lines act as guides that…

Data and analytics

Plot interaction

Interaction with the graph refers to the user's ability to visually manipulate the data represented in a graph. This includes actions such as zooming in to enlarge specific areas, panning the graph…

Data and analytics

Plot legend

The legend of a chart is an essential visual tool that provides a clear explanation of the symbols, colors, and patterns used in the chart. Its main function is to facilitate the understanding of the…

Data and analytics

Plot limits

The limits of the graph in the axis categories refer to the maximum and minimum values set for the axes of a graph, whether in a bar chart, line chart, scatter plot, or others. These limits are…

Data and analytics

Plotly

Plotly is a graphing library that allows users to create interactive visualizations and dashboards easily and effectively. This tool is particularly valued in the fields of data science and…

Data and analytics

Plot marker

The chart marker is a visual symbol used to represent data points in a graph. These markers can take various shapes, such as circles, squares, triangles, or crosses, and their size and color can vary…

Data and analytics

Plot overlay

Plot overlay is the process of displaying multiple graphs on the same axes, allowing for direct visual comparison of different data sets. This technique is particularly useful in data analysis, as it…

Data and analytics

Plot range

The plot range refers to the minimum and maximum values displayed on the axes of a graph, whether on the horizontal axis (x-axis) or the vertical axis (y-axis). This concept is fundamental for the…

Data and analytics

Plot scaling

Graph scaling refers to the adjustment of the size and dimensions of a graph, allowing it to fit different contexts and presentation formats. This process is crucial to ensure that the information…

Data and analytics

Plot style

The 'Plot Style' refers to the visual appearance of a plot, which includes elements such as colors, line styles, marker types, and fonts. This aspect is crucial for the effective interpretation of…

Data and analytics

Plotting

Plotting is the process of creating a graphical representation of data, allowing for clear and understandable visualization of information. This technique is fundamental in data analysis, as it…

Data and analytics

Plotting function

The plotting function is a fundamental tool in the field of data visualization, used to represent information visually and understandably. This function allows users to create graphs that can include…

Data and analytics

Plot visibility

Plot visibility refers to the ability to observe and analyze the elements that make up a plot, such as lines, bars, points, and labels. This feature is fundamental in the visual representation of…

Data and analytics

Point-in-Time

The 'Point in Time' in the context of data processing refers to a snapshot of a system's state at a specific moment. This concept is fundamental for stream processing, as it allows systems to handle…

Data and analytics

Polar plot

A polar plot is a visual representation of data that uses angles and radii to show the relationship between different variables. Unlike bar or line charts, which represent data in a Cartesian…

Data and analytics

Policy Lifecycle

The lifecycle of a policy in SELinux refers to the stages that a policy goes through from its creation to its eventual retirement. This process includes several critical phases, starting with the…

Data and analytics

Polling (programming)

Polling is a technique used in programming to check the status of an operation at regular intervals. In the context of software development, polling is commonly used to check if there is new data…

Data and analytics

Population Pyramid

The population pyramid is a graphical representation that illustrates the distribution of different age groups within a specific population. Typically, it is presented in the form of two vertical…

Data and analytics

Post-Execution Analysis

Post-Execution Analysis is a critical process in SQL query optimization that focuses on evaluating the performance of a query after it has been executed. This analysis allows developers and database…

Data and analytics

Post-processing (data science)

Post-processing refers to the actions performed after the initial data processing, with the aim of refining, analyzing, or visualizing the data in a deeper way. This process is crucial in the field…

Data and analytics

PostGIS

PostGIS is an extension of PostgreSQL that allows for the storage and management of geographic objects in the database. This tool transforms PostgreSQL into a geospatial database management system…

Data and analytics

PostgreSQL

PostgreSQL is an open-source relational database management system that emphasizes extensibility and compliance with SQL. History: PostgreSQL originated in 1986 as a research project at the…

Data and analytics

PostgreSQL Client

A PostgreSQL client is a software application designed to connect to a PostgreSQL server, allowing users to interact with databases efficiently. This type of client provides an interface that…

Data and analytics

PostgreSQL Community

The PostgreSQL community is a diverse group of developers, users, and enthusiasts who contribute to the development and maintenance of the PostgreSQL relational database management system. This…

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