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Description
Hi.
I found out that when using animated plotly chart you need to have the same number of observations for each of your factors. Meaning -> one missing observation results in whole trace being discarded for entire duration of the animated chart. That is especially a problem when you use time-series data and some of your traces start later, and/or end sooner than others. In addition even when I manually recreate the missing row with NAs, the trace containing these NAs cannot be graphed. Is there any workaround beside of imputing null values for the missings? Thanks!
Example:
library(gapminder)
library(plotly)
library(dplyr)
#working example with no missings
gapminder %>%
group_by(year, continent) %>%
summarise(pop = mean(pop), gdpPercap = mean(gdpPercap), lifeExp = mean(lifeExp)) %>%
plot_ly( x = ~gdpPercap,
y = ~lifeExp,
size = ~pop,
color = ~continent,
frame = ~year,
text = ~continent,
hoverinfo = "text",
type = 'scatter',
mode = 'markers')
#filtering one row results in missing Africa trace for entirety of the plot
gapminder %>%
group_by(year, continent) %>%
summarise(pop = mean(pop), gdpPercap = mean(gdpPercap), lifeExp = mean(lifeExp)) %>%
filter(gdpPercap > 1253) %>%
plot_ly( x = ~gdpPercap,
y = ~lifeExp,
size = ~pop,
color = ~continent,
frame = ~year,
text = ~continent,
hoverinfo = "text",
type = 'scatter',
mode = 'markers')