ganttrify
facilitates the creation of nice-looking Gantt charts,
commonly used in project proposals and project management.
If you just want to check this out in an interactive web interface, click here and enjoy. Some more context in this blog post.
Read on for more details and examples.
It is possible to find online documented attempts at facilitating the creation of Gantt charts from R. Some of them (e.g. this and this) use ‘ggplot2’, but I feel they do not look very nice. The same goes for the answers I found in the relevant Stackoverflow question.
Even Plotly enables the creation of Gantt charts in R, but again, I don’t like the end result.
I did find a solution that was rather visually satisfying, but it was in base R, and all the cool kids nowadays know that base plotting in R exists only for compatibility with S: not an option! (Hey, I’m joking, don’t @ me!)
Given what is evidently my posh taste for Gantt charts, I had no other option than making this package with a pretentious, gentrified name, instead of the obvious “ganttr”.
Please welcome ganttrify
.
More seriously, this has been a quick attempt at making decent-looking Gantt charts.
And yes, I will enable all the customisations you like, but first I actually need to submit this project.
As I’ve seen some people actually started using this package, I have added some functionalities and significantly improved the shiny app. If you have used an earlier version, you may need to adapt column names and some parameter names to the new syntax, following the updated examples (it should take just a few seconds).
Take an adequately formatted spreadsheet and turn it into a Gantt chart made with ggplot2.
You can install the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("giocomai/ganttrify")
Here is an example project:
wp | activity | start_date | end_date |
---|---|---|---|
WP1 - Whatever admin | 1.1. That admin activity | 1 | 6 |
WP1 - Whatever admin | 1.2. Another admin activity | 3 | 6 |
WP1 - Whatever admin | 1.3. Fancy admin activity | 4 | 7 |
WP2 - Whatever actual work | 2.1. Actual stuff | 5 | 10 |
WP2 - Whatever actual work | 2.2. Actual R&D stuff | 6 | 12 |
WP2 - Whatever actual work | 2.3. Really real research | 9 | 12 |
WP2 - Whatever actual work | 2.4. Ethics! | 3 | 5 |
WP2 - Whatever actual work | 2.4. Ethics! | 8 | 9 |
WP3 - Dissemination | 3.1. Disseminate near | 6 | 9 |
WP3 - Dissemination | 3.1. Disseminate near | 12 | 12 |
WP3 - Dissemination | 3.2. Disseminate far | 8 | 12 |
Month since the beginning of the project are used as reference in order to make it easier to change the date when the project starts without needing to change the timing of all activities.
If you prefer to include dates instead of month numbers, please see additional examples below.
library("ganttrify")
ganttrify(project = ganttrify::test_project,
project_start_date = "2020-03",
font_family = "Roboto Condensed")
[all
examples in this page will use the
Roboto condensed
font; if it is not
installed, you can use the default sans
. See the Troubleshooting
section at the bottom of this readme.]
“But what if I wanted to add spot labels for events, deliverables, outputs, milestones, things like that?”, you asked.
Just put them in a table with these column names, and you will be served.
activity | spot_type | spot_date |
---|---|---|
1.1. That admin activity | D | 5 |
1.3. Fancy admin activity | E | 7 |
2.2. Actual R&D stuff | O | 7 |
2.2. Actual R&D stuff | O | 9 |
2.2. Actual R&D stuff | O | 11 |
WP2 - Whatever actual work | M | 6 |
ganttrify(project = ganttrify::test_project,
spots = ganttrify::test_spots,
project_start_date = "2020-03",
font_family = "Roboto Condensed")
“I can’t read the text, can I change the text size?”, I heard. “Also, is it possible to outline quarters?”
You’re welcome.
ganttrify(project = ganttrify::test_project,
spots = ganttrify::test_spots,
project_start_date = "2020-03",
size_text_relative = 1.2,
mark_quarters = TRUE,
font_family = "Roboto Condensed")
If you prefer interactive web interfaces to coding, you can still have a fancy ganttrified chart.
shiny_ganttrify()
And there you go!
You can check it online with no further ado at the following link:
https://apps.europeandatajournalism.eu/app/ganttrify
Alright, you don’t know like R, but you know how Docker works?
This is all you need to find yourself a nice web app on localhost
docker run -p 80:80 giocomai/ganttrify
You can of course build yourself the docker image using the Dockerfile included in this repo.
Alright, you prefer to use dates rather than month numbers from the
beginning of the project. You’re welcome: just format the date as
follows, and remember to include the month_number = FALSE
parameter.
You can also use exact dates (e.g. 2021-01-01
), but by default they
would still be converted to include the entire month were that given day
falls.
knitr::kable(ganttrify::test_project_date_month)
wp | activity | start_date | end_date |
---|---|---|---|
WP1 - Whatever admin | 1.1. That admin activity | 2021-01 | 2021-06 |
WP1 - Whatever admin | 1.2. Another admin activity | 2021-03 | 2021-06 |
WP1 - Whatever admin | 1.3. Fancy admin activity | 2021-04 | 2021-07 |
WP2 - Whatever actual work | 2.1. Actual stuff | 2021-05 | 2021-10 |
WP2 - Whatever actual work | 2.2. Actual R&D stuff | 2021-06 | 2021-12 |
WP2 - Whatever actual work | 2.3. Really real research | 2021-09 | 2021-12 |
WP2 - Whatever actual work | 2.4. Ethics! | 2021-03 | 2021-05 |
WP2 - Whatever actual work | 2.4. Ethics! | 2021-08 | 2021-09 |
WP3 - Dissemination | 3.1. Disseminate near | 2021-06 | 2021-09 |
WP3 - Dissemination | 3.1. Disseminate near | 2021-12 | 2021-12 |
WP3 - Dissemination | 3.2. Disseminate far | 2021-08 | 2021-12 |
ganttrify(project = ganttrify::test_project_date_month,
spots = ganttrify::test_spots_date_month,
by_date = TRUE,
size_text_relative = 1.2,
mark_quarters = TRUE,
font_family = "Roboto Condensed")
As it turns out, someone wants more detail: they’d like to be able to
input activities with an exact start and end date. I start to suspect
that ganttrify
at this stage may not be exactly what you’re looking
for, but perhaps this works for you?
knitr::kable(ganttrify::test_project_date_day)
wp | activity | start_date | end_date |
---|---|---|---|
Data team | Data collection | 2020-09-01 | 2020-09-10 |
Data team | Data processing | 2020-09-08 | 2020-09-14 |
Data team | Reporting | 2020-09-14 | 2020-09-16 |
Data team | Data visualisation | 2020-10-23 | 2020-10-30 |
Investigative team | Fieldwork | 2020-09-05 | 2020-09-15 |
Investigative team | Fieldwork | 2020-10-10 | 2020-10-20 |
Investigative team | Writing | 2020-10-21 | 2020-10-31 |
Social media team | Draft outputs | 2020-10-25 | 2020-10-28 |
Social media team | Active promo | 2020-10-31 | 2020-12-15 |
ganttrify(project = ganttrify::test_project_date_day,
spots = ganttrify::test_spots_date_day,
by_date = TRUE,
exact_date = TRUE,
size_text_relative = 1.2,
month_number = FALSE,
font_family = "Roboto Condensed")
By default, this package uses a generic sans font but it is recommended to use a narrow (or condensed font such as Roboto Condensed font - a free font that can be downloaded and installed on any desktop - as they make more efficient use of text space.
On Fedora, you can install it with sudo dnf install google-roboto-condensed-fonts
On Debian, you can install it with sudo apt-get install fonts-roboto-fontface
After installation, you should make sure the font is available to R by
installing the extrafont
package, and running
extrafont::font_import()
.
You can check available fonts also with the package systemfonts
and
the command systemfonts::system_fonts()
.
To reduce the number of dependencies, extrafont
, as well as the
packages used by the Shiny app needed to import data (googlesheets4
,
readxl
) and to export the chart in svg (svglite
) are only suggested.
You can install them independently (they’re all on CRAN), or together with this package with:
remotes::install_github("giocomai/ganttrify", dependencies = TRUE)