Support for brushing, crosstalk or similar

[mayeulk]

Is there a way to have interaction among plots (including one timevis) such as brushing (with crosstalk or other mechanism)?
For instance such as the third example (earthquake map + plot) at https://rstudio.github.io/crosstalk/using.html ?

[daattali]

Crosstalk is not supported. There was some work a while ago to try to do that #19 but it never went to completion

[daattali]

If you have any crosstalk or just javascript experience, it would be a very welcomed addition

[daattali]

@mayeulk do you have a specific use case in mind, of a dataset that would work well with timevis and with another crosstalk widget?

[mayeulk]

Yes. Please see attached file with screenshots, of an app that could benefit from brushing / crosstalk:
gnad_irnc.pdf
Slides 4, 5, 6, 7, 29, 30 and 34 are made with timevis. They show events that are all related to a single non-violent action campaign (for instance: end of Milosevic's regime in Serbia, slide 4; the Orange Revolution in Ukraine in 2004, slide 34)
Most of the other slides show widgets that could become use cases, for instance:
slide 8, data.table of the events shown in the timeline.
Use case 1: The user searches (slide 10: "police") or selects rows in datatable of slide 8 => they become highlighted in the timeline (slide 5)
Use case 2: The user brushes events in timeline of slide 5 => they become highlighted or filtered (selected) in the datatable (slide 8)
Use case 3: The user selects a category of nonviolent method (e.g. "Protestation et Persusasion", left side of timeline, slide 5) => they become highlighted or filtered in the datatable (slide 8)
Use case 4: see list of images used in the timevis pop-ups (slide 14). The user brushes events in timeline of slide 5 => images got filtered in the list of slide 14
Use case 5: see pins on map (related to events in the timevis) on slide 19. The user brushes events in timeline of slide 5 => pins got highlighted or filtered on the map (this allows to compare the location of the events in the beginning of the period, with the location near the end)
Use case 6: barplots of methods and of groups of action methods (slide 20) related to the events of the timevis: The user brushes events in timeline of slide 5 => the barplots got adjusted
Use case 7: hierarchical graph (with size of nodes and leaves proportional to the number of events). The leaves on the right of slide 25 (or 32) are the events of the timevis. The user brushes events in timeline of slide 5 => the tree plot got adjusted
In most use cases, the interaction could go both ways: from timevis to other widgets; from another widget to timevis.

The application is developed and released under Affero GPL.
The source code repository is https://gricad-gitlab.univ-grenoble-alpes.fr/kauffmma/gnad_irnc
Note that, at the moment, there is only documentation, no source code there. I'm working on it.
The reason is that the raw data contains private information (name and email addresses of students); emails cannot be shared; the name of some students should not be shared (some want to contribute anonymously.
I need to clean these private data before being able to share them; the code without the data is of little use.

[daattali]

If you could provide me with some sample csv data that can be used for timevis and other widgets, that would help. I'm currently trying to implement crosstalk support, but I don't have any data to test with.

[mayeulk]

Sure. Will do tomorrow (I m in France). I could not find a way to send a private message on github though. (Myself I can be reached at the email at the bottom of page www.irnc.org)

[mayeulk]

Here is a csv with the events I used in the timevis:
Fiches_GNAD_Ref_15_20_v12MK__2022_10_09_event_id.ods_withoutEmails_sheet_2.csv

These data are licensed under an Attribution-NonCommercial-ShareAlike 4.0 International license (CC BY-NC-SA 4.0, https://creativecommons.org/licenses/by-nc-sa/4.0/). Each row contains the name of the authors, see fields ref_contributor_name_firstname and ref_proofreader_name_firstname (when NAs, assume: Simon, Marie ; Vandriessche, Thibaut; Kauffmann, Mayeul)

[mayeulk]

I've commited the full gnad_irnc Shiny app (which uses the data above) at https://gricad-gitlab.univ-grenoble-alpes.fr/kauffmma/gnad_irnc/
Among other things, in contains source code and data for the 7 use cases I listed earlier.

[daattali]

Thanks for the file

With this csv, what code would you use to create the timevis? (because I don't know which columns here are "id", "start", "end", "content", etc). And what code would you use to create the other crosstalk widget that you want to link to timevis?

I'm essentially trying to get a reproducible example I can test for a crosstalk-enabled timevis.

[mayeulk]

The code is in the folder https://gricad-gitlab.univ-grenoble-alpes.fr/kauffmma/gnad_irnc/-/tree/main/app
in file: timevis_gnad_irnc.R
You need the full folder (including subfolders /R , /ods and /www ) and you need to change line 5 of the R code (starting with "base_path <- "/home...."") to adjust it to your local folder

[daattali]

I tried looking at that file but it's huge and very difficult to pull out demo code to test with. Are you able to provide a code sample?

I'm looking for a clear simple example of using a dataset with timevis and another widget. Something like:

basketball_games <- data.frame(id = 1:3, start = c("2023-02-01", "2023-02-02", "2023-02-03"), content = c("team 1 vs 2", "team 2 vs 3", "team 3 vs 4"), home_score = c(50, 60, 70), away_score = c(65, 55, 75))

shared_df <- crosstalk::SharedData$new(basketball_games)

crosstalk::bscols(
    timevis::timevis(shared_df, width = "100%"),
    d3scatter::d3scatter(shared_df, ~home_score, ~away_score, width = "100%"),
    DT::datatable(shared_df)
)

I cannot use the file you sent me for testing

[mayeulk]

Sure, I'll come up with something ASAP.

[mayeulk]

I made a much simpler version, committed at:
https://gricad-gitlab.univ-grenoble-alpes.fr/kauffmma/gnad_irnc/-/commit/3e334d5dae91521d1ade5b2da19612fbfee60fc7
Source code is about 4 times shorter; same for data size.
Also attached below (.ods files need to go in a ./ods/ subfolder).

timevis_gnad_irnc_v25_data_path_simplified_o.R.zip

Fiches_GNAD_Ref_15_20_v12MK__2022_10_09_event_id_withoutEmails_simplified.ods

Sharp_198_methods_table1_en_es_fr_v3_simplified.ods

It is certainly not perfect; I still hope it will help.