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:
::install_github("feddelegrand7/cronologia") remotes
The 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.create_tml()
In order to showcase the package’s features, let’s create a simple data frame:
<- data.frame(
batman_data
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
Now, using 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 set the open
parameter to TRUE
. The
parameter is available in all the functions.
create_tml_img()
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)
<- get_data(n = 4, seed = "123")
df
c('name_last',
df['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 alt
attribute 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 alt
attribute.<- radous::get_data(4, seed = "123")
df
create_tml_img(df,
smr = "name_last",
dsc = "location_street_name",
imgsrc = "picture_large",
imgalt = "name_last",
imgwidth = "150px",
imgheight = "150px",
dsc_size = "20px")
create_tml_2()
Following the idea of Tobias
for creating an interactive CV I thought that two (2) description
components would be more appropriate. The function is similar to
create_tml()
except that it adds another description
paragraph to the Timeline.
Let’s go through an example:
<- data.frame(
cv
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 Conduct. By contributing to this project, you agree to abide
by its terms.