Hacktoberfest 2026: as issues que os mantenedores marcaram para outubro, abertas e boas para iniciantes. Ver issues do Hacktoberfest

Controlling Animation for Points When There Are Missing Values (ggplotly)

Aberta
  • Algo errado?
#2,166 1 comentário 0 reações 0 responsáveis Ver no GitHub

Ninguém assumiu esta issue ainda.

Avaliação

Dificuldade
4/5
Tempo estimado
3-5 dias
Facilidade para iniciantes
25/100
Tipo de issue
Bug
Clareza
Precisa de esclarecimento
Status de atividade
Estagnada
Stack de tecnologia
r
Domínio
data-visualization

Direção de pesquisa

Comece executando a reprodução R fornecida tanto com plot_ly() quanto com ggplotly(), incluindo animation_opts() e animation_slider(). Compare a identidade dos pontos e os rótulos de hover entre Jan 2021 e Feb 2021 quando houver linhas ausentes. Considera-se concluído quando o comportamento estiver explicado e uma forma documentada de preservar as identidades de Clinic, ou um fix com escopo definido, for identificada.

Escrita pelo modelo de indexação a partir do texto da issue.

Descrição

I am building a Hans Rosling type visualisation, however, I am having issues with the point movements. I have attached some code that creates an example of my problem, which can be found below.

The best way I can describe it is that whenever there is a missing value, a point has to disappear, therefore a different becomes assigned to a point even if it's in a different group. This logically doesn't make any sense to me.

In the example below, I've removed the Month Year of Feb 2021 from Clinic A, (i.e. I've removed the whole row), which means that the point disappears as shown in the play animation movement. However, if you notice instead of the Clinic A point simply disappearing, it chooses to keep the Clinic A point, turn into a different Clinic, in this case Clinic B and also convert the surrounding points to different clinics as well. I think it's working off the logic of turn into whatever point is the nearest somehow.

To really understand what is happening observe the hover of the points from Jan 2021 to Feb 2021

My question(s) is/are:

  • Why is this happening?
  • How do I specify some sort of group or ID to the points so that they aren't randomly turning into other Clinics?

In my real world scenario I have over 90+ different unique IDs/Clinics so ideally someone would be able to press play and then follow a single point moving across the viz, specifically noticing for any abnormalities in movement. It's extremely difficult to do this, or rather almost impossible, if a given point is converting itself into another point on the fly.

Note: I have confirmed this problem is replicated when using both plot_ly() and ggplotly() and only seems to happen when there is missing data

Code to Replicate Problem:

set.seed(24)


test <- data.frame(Month_Year = rep(paste(month.abb, rep(2021:2022, each = 12), sep = "_"), 4),
           x = abs(rnorm(24*4)),
           y = abs(rgamma(24&4,2,1)),
           Clinic = rep(c("Clinic A", "Clinic B", "Clinic C", "Clinic D"), each = 24))

test$Month_Year <- factor(test$Month_Year, levels = paste(month.abb, rep(2021:2022, each = 12), sep = "_"))


test <- test[-c(2,8,12),]


pt <- test %>% 
  ggplot(aes(x = x, y = y, frame = paste0(sprintf("%02d", as.numeric(Month_Year)), Month_Year), text = 
               paste(
                 "RAR:", round(y, 3),
                 "\nMR:", round(x, 3),
                 "\nClinic:", Clinic
               ))) +
  geom_point(shape = 1, color = "firebrick", aes(group = Clinic)) +
  # geom_text(aes(y = NAG + 5)) +
  theme_minimal() +
  labs(x = "Rolled Mortality Rate - 3 Month Average", y = "Rolled Admission Rate - 3 Month Average") +
  scale_x_continuous(limits = c(0, 6))



ggplotly(pt, tooltip = "text") %>% 
  animation_opts(
    3000,
    redraw = T
  ) %>% 
  animation_slider(
    currentvalue = list(prefix = "Month Year: ")
  )
Linguagem predominante
R
Estrelas
2.7k
Forks
640
Nenhum PR com merge em 30d

Preparar o ambiente

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

Mais de plotly/plotly.R

Todas as issues de plotly/plotly.R

Issues semelhantes

Mais issues de R

Receba novas issues na sua caixa de entrada

Um resumo curto de issues do GitHub para quem está começando.