Get the free Package rworldmap - cran r-project
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Package roadmap
August 29, 2016,
Type Package
Title Mapping Global Data
Version 1.36
Date 20160203
Author Andy South
Maintainer Andy South southandy@gmail.com
Description Enables mapping of country
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How to fill out package rworldmap - cran
How to fill out package rworldmap:
01
Start by installing the package: Use the command `install.packages("rworldmap")` in your R console or RStudio to download and install the package.
02
Load the package: After installing, load the package into your R session using the command `library(rworldmap)`. This will make all the functions from the package available for use.
03
Import the necessary data: Package rworldmap provides various datasets that can be used for mapping. Explore these datasets and choose the one that suits your needs. For example, you can use the `countriesLow` dataset, which provides basic country-level data.
04
Prepare your data: Prior to using rworldmap functions, make sure your data is in the appropriate format. Depending on the specific analysis or visualization you want to perform, you may need additional data manipulation steps.
05
Create a map: Use the `mapCountryData()` function to create a world map based on your data. Specify the data to be mapped using the `nameColumnToPlot` argument and pass your data frame as the `mapRegionData` argument.
06
Customize your map: There are various options available to customize the appearance of your map, such as selecting a color palette, adjusting legend settings, and adding labels or titles. You can refer to the package documentation and examples for advanced customization options.
Who needs package rworldmap:
01
Researchers and academics: The rworldmap package is commonly used by researchers and academics in fields such as geography, environmental science, and social sciences. It provides a convenient tool for visualizing and analyzing spatial data at a global scale.
02
Data analysts and visualizers: If you are working with data that has a geographic component, such as international survey data or global statistics, rworldmap can be a useful tool to create informative and visually appealing maps. It allows you to display data patterns and trends in a spatial context.
03
Policy makers and NGOs: Decision-makers in the public and non-profit sectors often have to work with global data to inform policy decisions or understand complex issues. Package rworldmap can help them visualize spatial data, identify regional disparities, and communicate their findings effectively.
In conclusion, the rworldmap package is a valuable tool for filling out world maps in R. By following the provided steps, you can create informative visualizations and analyze global data. This package is useful for researchers, data analysts, and policy makers who need to work with geographic data at a global scale.
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What is package rworldmap?
Package rworldmap is a mapping library in R that allows users to create interactive world maps and visualize data spatially.
Who is required to file package rworldmap?
Anyone using R programming language for data visualization and analysis can use the package rworldmap.
How to fill out package rworldmap?
To use package rworldmap, users need to install the package in R and then load the library to start creating world maps.
What is the purpose of package rworldmap?
The purpose of package rworldmap is to help users visualize data geospatially on a world map and analyze trends and patterns.
What information must be reported on package rworldmap?
Users can report any data sets or variables they want to visualize on the world map using package rworldmap.
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