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https://estadisticaun.github.io/UnalR/index.htmlAn R package for creating dynamic and static data visualizations and HTML widgets. It provides functions for generating various charts including histograms, boxplots, radar charts, pie charts, treemaps, and interactive maps using Leaflet, as well as HTML tables via the DT package. The library includes specialized tools for processing and visualizing Saber Pro test results and university graduate microdata.
ejGraduados dataset provides a sample of microdata for graduates from academic programs at the Universidad Nacional de Colombia (covering the period from 2019-I to 2021-I). This dataset is specifically designed for use with the Tabla.General() and Plot.Treemap() functions.# Access the dataset
ejGraduados
# Preview the first 5 rows and 10 columns
ejGraduados[1:5, 1:10]Tabla.General function simplifies the creation of visually appealing HTML tables for reports and publications by wrapping the DT package. It returns an object of class datatables and htmlwidget. It provides features such as column filtering, pagination, and custom CSS styling.Plot.Boxplot() function generates dynamic boxplots. It supports two different rendering libraries via the libreria argument: "highcharter" and "plotly". The function allows for grouping by one or two variables, customization of colors, axis labels, and the inclusion of violin plots or jittered points.Plot.Boxplot(
datos = iris,
variable = Sepal.Length,
grupo1 = Species,
violin = TRUE,
colores = c("#FF1D58", "#FDB911", "#00E527"),
titulo = "BOXPLOT OF SEPAL LENGTH",
labelX = "Species",
labelY = "Sepal Length",
libreria = "plotly"
)If you encounter errors or installation issues with UnalR, try the following steps:
devtools to see if the bug has been fixed.Plot.Drilldown function creates a dynamic visualization (using Highcharter/JavaScript) that allows users to click on elements (like pie slices or bars) to inspect data at a more detailed secondary level without leaving the chart. It returns an htmlwidget object of class highchart.Plot.Drilldown(
datos,
varPrincipal,
varSecundaria,
ano,
periodo,
torta = TRUE,
vertical = TRUE,
colores,
colores2,
titulo = "",
label = "",
textInfo = "",
addPeriodo = TRUE,
estilo = NULL
)Plot.Mundo function creates dynamic, mobile-compatible interactive maps using the Leaflet JavaScript library. It allows for zooming, panning, and toggling layers. It can be embedded in websites, R Markdown documents, and Shiny applications. By default, it returns an HTML widget of class 'leaflet' and 'htmlwidget'.LATAM <- data.frame(
Country = c("Chile", "Venezuela", "Colombia", "Argentina", "Brazil"),
PIB = c(1, 10, 100, 1000, 10000)*1:5
)
Plot.Mundo(
datos = LATAM,
paises = "Country",
variable = "PIB",
tipo = "Pais",
titulo = "PIB 2023-Q1",
naTo0 = FALSE,
colNA = "#3DBC25",
centroideMapa = "Peru",
zoomMapa = 3,
cortes = c(0, 10, 100, 1000, 10000, Inf),
colores = c("#DFA86A", "#FFBB00", "#FF5100", "#F20034", "#76009D"),
opacidad = 0.5,
colBorde = "#0E9BEE",
compacto = TRUE,
textSize = 4,
limpio = FALSE
)When using Plot.Series, keep the following constraints and behaviors in mind:
"dygraphs" library requires exactly two variables in the tiempo argument (YEAR and SEMESTRE) to match its expected structure; otherwise, it will throw an error.PlotSeries_{category}.png.gg.Tema provides 11 presets, you can use any other ggplot2 compatible theme (e.g., from hrbrthemes or ggtech).Tabla.SaberPro function generates an HTML widget (of class datatables and htmlwidget) using the DT package to visualize data frames containing Saber Pro test results. It provides built-in features for filtering, pagination, and sorting via the JavaScript DataTables library.# Basic usage example
Tabla.SaberPro(
datos = VariosYears,
variable = "SEXO",
encabezado = "PUNTAJES POR SEXO",
leyenda = "Custom table description",
colorHead = "#FF5B5B",
estilo = list(
PaletaYear = c("#F9CA00", "#F68118"),
PaletaCategoria = c("#2458C5", "#F0006D", "#42C501")
)
)Agregar function transforms a microdata base into a consolidated data frame or tibble. This consolidated format is required by most of the graphical functions available in the UnalR package. It allows grouping data by one or more temporal variables and filtering by specific time intervals.Agregar(
datos,
formula,
frecuencia,
intervalo,
textNA = "Sin Información",
ask = FALSE
)Plot.Mapa function creates interactive maps compatible with mobile and desktop platforms using the Leaflet JavaScript library. These maps include controls for zooming, panning, and toggling layers. They can be embedded in websites, R Markdown documents, and Shiny applications. The function supports mapping data based on Colombia's Political-Administrative Division (DIVIPOLA) coding from DANE.Plot.Mapa(
datos,
depto,
mpio,
variable,
agregado = TRUE,
zoomIslas = FALSE,
estadistico = c("Conteo", "Promedio", "Mediana", "Varianza", "SD", "CV", "Min", "Max"),
tipo = c("Deptos", "SiNoMpios", "Mpios", "DeptoMpio"),
SiNoLegend,
titulo,
naTo0 = TRUE,
colNA = "#EEEEEE",
centroideMapa,
zoomMapa = 6,
baldosas,
cortes,
colores,
showSedes = TRUE,
colSedes,
opacidad = 0.7,
colBorde,
compacto = TRUE,
textSize = 10,
limpio = FALSE,
estatico = FALSE,
estilo,
...
)Agregar() function supports multiple simultaneous aggregations by allowing the specification of more than one variable of interest. The function processes these as individual aggregations and concatenates them by row.