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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]
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]
Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data.
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:
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.
i R indicates whether precipitation data is included or omitted. This is a code number from 0 to 4, with 0, 1 and 2 meaning data is included, and 3 and 4 indicating no precipitation data. i X is a code number indicating the manner of station operation, and the format used in group 7wwWW; codes 1, 2 and 3 indicate a staffed station, while codes ...
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The Model for Prediction Across Scales (MPAS) is an Earth system modeling software that integrates atmospheric, oceanographic, and cryospheric modeling across scales from regional to planetary. It includes climate and weather modeling and simulations that were used initially by researchers in 2013. [ 1 ]