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dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
LuciadLightspeed consists of over 100 different software components and connectors to fuse, visualize and analyze geospatial data. This can include static and moving data, maps, satellite imagery, crowd-sourced data, full motion video, weather data and terrain elevation in many different geodetic references and map projections.
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R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
In 2015, Google chose OpenWeatherMap as a weather data provider for its bid-by-weather script in Google Ads, which serves the ads based on the local weather conditions, such as temperature, humidity, and cloudiness. [3] In the same year, Google published documentation on how to use OpenWeather data to display weather conditions on Google Maps. [4]
The code chunks can be regarded as R-scripts that load data, performs data processing and; creates output data (e.g. descriptive analysis) or output graphics (e.g. boxplot diagram). The implementation of logical conditions in R can provide text elements for the dynamic report depended on the statistical analysis. For example:
Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...
The Unified Model is a numerical weather prediction and climate modeling software suite originally developed by the United Kingdom Met Office from 1990, [1] [2] and now both used and further developed by many weather-forecasting agencies around the world. [3]