Publications by Rubén F. Bustillo
Data visualizations: Maps using geographic coordinates
Data visualizations: Maps using geographic coordinates Rubén F. Bustillo www.rquer.netlify.com Row Base Map Map locations I Map locations II Change coordinates xlim & ylim Using borders("world") Using borders("world", regions = "USA") USA cities USA map with map_data("state") Map with {raster} (level=2) Map with {raster} (le...
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Data visualizations: Choropleth Maps
Choropleth maps with {ggplot2} and {mapdata} Rubén F. Bustillo www.rquer.netlify.com Row Base Map Color gradient Color gradient with {Viridis} Set breaks with scale_fill_gradientn() Logarithmic scale Colors for group intervals Colors with scale_fill_manual() Facets with facet_wrap() Subregion with xlim() & ylim() Subregion w...
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Data visualizations: Box Plots
Data Visualizations: Box plots Rubén F. Bustillo Sheet A Column geom_boxplot() geom_boxplot(color = "blue") | coord_flip() Column scale_fill_brewer(palette = "Set2") | scale_x_discrete(limits = c("Europe", "Oceania", "Asia", "Americas", "Africa")) scale_fill_manual(values = c("lightblue", "green", "yellow", "red", "purple" )) Co...
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Data visualizations: Bar Charts
Data Visualizations: Bar Charts Rubén F. Bustillo Sheet A Column summarise(promedio = mean(lifeExp)) reorder(continent, -promedio, sum) Column x= reorder(continent, promedio, sum) scale_x_date(breaks = grafico_spain$year, date_labels = "%Y") / geom_col(fill = "limegreen", alpha = 0.8) Column coord_flip() coord_flip() Sheet B ...
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Visualization themes {ggpplot2} {ggtheme} {ggthemer}
themes {ggplot2}, {ggthemes}, {ggthemer} Rubén F. Bustillo THEMES (a) Column Default theme theme_bw() Column theme_classic() theme_dark() Column theme_light() theme_linedraw() THEMES (b) Column theme_minimal() theme_void() Column theme_base() theme_calc() Column theme_clean() theme_economist() THEMES (c) Column th...
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Utilizando R en Power Bi
Re Power Bi es una herramienta de Business Inteligence (BI) de Microsoft. Un aspecto interesante es que Power Bi permite fácilmente utilizar el lenguaje de R en diversas fases del proceso de análisis. Power Bi Power Bi es un recientemente nuevo servicio de Business Inteligence (BI) y análisis empresarial desarrollado por Microsoft. Esta herr...
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coronavirus dashboard with {flexdashboard} (part II)
Coronavirus (II) Rubén F. Bustillo TOTAL Column Confirmed Cases (daily) Column Recovered Cases (cumulative) Death Cases (cumulative) Column lastupdate 2020-03-22 confirmed 335,955 active 223,619 (66.6%) recovered 97,704 (29.1%) death 14,632 (4.4%) TOTAL (b) Active, recovered and death cases over time (cumulative case...
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coronavirus dashboard with {flexdashboard}
Coronavirus Rubén F. Bustillo Sidebar Last Update 2020-03-22 This dashboard presents information on COVID-19. The {coronavirus} dataset package is available on CRAN and comes from the John Hopkins University Center for Systems Science and Engineering. The {coronavirus} dataset is updated daily by @Rami_Krispin (https://ramikrispin.g...
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Food consumption and CO2 emissions due to food products (tidytuesday contribution)
Re In this post, intented to be a small contribution to the tidytuesday project, we will use the package {echarts4r} to visualizate in a map the food consumption and CO2 emissions from 130 countries. Intro This short post is going to be my first and small contribution to Tidytuesday project. I will use the package {echarts4r} to plot in a map t...
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Representación de la evolución temporal de alguna variable (parte I)
Resumen Este post tiene como objetivo presentar algunas posibles formas de representar la evolución temporal de alguna variable. Utilizaremos el dataframe gapminder del conocido paquete del mismo nombre. Paquetes library(tidyverse) library(gapminder) library(echarts4r) library(gganimate) library(viridis) library(hrbrthemes) library(DT) ...
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