The goal of
cronologia is to create an interactive timeline widget in
RMarkdown documents and Shiny applications.
You can install the stable version which is available on CRAN however, for now you should install the development version as it has support for smaller devices responsiveness:
cronologia package has three functions:
create_tml(): used to create simple text-based timelines.
create_tml_img(): used to create timelines that include images.
create_tml_2(): works the same way as
create_tml()except that it adds and additional description component.
In order to showcase the package’s features, let’s create a simple data frame:
batman_data <- data.frame( date_release = c("May 31, 2005", "July 14, 2008", "July 16, 2012 "), title = c("Batman Begins", "The Dark Knight", "The Dark Knight Rises") ) batman_data #> date_release title #> 1 May 31, 2005 Batman Begins #> 2 July 14, 2008 The Dark Knight #> 3 July 16, 2012 The Dark Knight Rises
create_tml(), we can create easily a timeline as follows:
library(cronologia) create_tml(df = batman_data, # the data frame smr = "title", # the column that will be used in the summary dsc = "date_release" # the column that will be used in the description )
You can easily customize the appearance of the time line using the parameters provided:
create_tml(df = batman_data, smr = "title", # summary dsc = "date_release", # description smr_col = "blue", # summary text color smr_bgcol = "orange", # summary background color dsc_col = "white", # description text color dsc_bgcol = "black", # description background color dsc_size = "30px" # description size )
If you want to make all the summary components open by default, you can
open parameter to
TRUE. The parameter is available in all
If you want to include images within your timeline, you can use the
create_tml_img() function. To illustrate this function, we’ll use the
radous package that fetch the
randomuser.me API and returns a data frame
that contains many information (including images’ URLs).
Disclaimer: All the generated images are extracted from the authorized section of UI Faces.
library(radous) df <- get_data(n = 4, seed = "123") df[c('name_last', 'location_street_name', 'picture_large', 'name_last')] #> # A tibble: 4 x 4 #> name_last location_street_na~ picture_large name_last #> <chr> <chr> <chr> <chr> #> 1 Campos Rua Três https://randomuser.me/api/portraits/m~ Campos #> 2 Jackson Armagh Street https://randomuser.me/api/portraits/w~ Jackson #> 3 Ruona Hämeentie https://randomuser.me/api/portraits/w~ Ruona #> 4 Steward Henry Street https://randomuser.me/api/portraits/w~ Steward
Now we will proceed as previously except that we need to provide two additional arguments:
imgsrc: the column that indicates the source of the images.
imgalt: the column indicating the
altattribute of the images. For accessibility reasons I decided to make this argument mandatory. Use a column that contains
""if the images do not need the
df <- radous::get_data(4, seed = "123") create_tml_img(df, smr = "name_last", dsc = "location_street_name", imgsrc = "picture_large", imgalt = "name_last", imgwidth = "150px", imgheight = "150px", dsc_size = "20px")
Following the idea of
creating an interactive CV I thought that two (2) description components
would be more appropriate. The function is similar to
except that it adds another description paragraph to the Timeline.
Let’s go through an example:
cv <- data.frame( jobs = c("Game tester at Nintendo", "Food tester at Ferrero", "Movies tester at Netflix"), period = c("2020-2022", "2022-2024", "2026-2030"), todos = c("Playing Zelda all day", "Eating Bueno all day", "Watching the Office all day") ) cv #> jobs period todos #> 1 Game tester at Nintendo 2020-2022 Playing Zelda all day #> 2 Food tester at Ferrero 2022-2024 Eating Bueno all day #> 3 Movies tester at Netflix 2026-2030 Watching the Office all day
create_tml_2(cv, smr = "jobs", dsc = "period", dsc2 = "todos", dsc2_col = "white", dsc2_bgcol = "peru") # yes, peru is also a color
Please note that the
cronologia project is released with a
Contributor Code of
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