# current outline:
# graph 1: global (tableau)
# **zoom in**
# graph 2: industry breakdown (shiny)
# **closer look as some of most frequently attacked industries**
# graph 3: healthcare vs education attacks
# **who is attacking these sytems?**
# graph 4: actors vs breach/incident (animated)
# ** how much damage to internal/external actors do?
# graph 5: internal vs external actors: data records lost (shiny)
# **how are they hacking at a large scale?**
# graph 6: dark web prices
# **closer look at most common and most expensive: malware**
# graph 7: analysis of malware subtypes
# ** tie this into our state - how has Virginia been impacted?
# graph 8: dashboard of Virginia cyber events (tableau)
## actually render the shiny app - THIS WORKS LOCALLY BUT NOT WHEN
shinyAppDir("industryShiny")
##
## Listening on http://127.0.0.1:8745
## ADD LEGEND
alluv
breach_anim
## actually render the shiny app - THIS WORKS LOCALLY BUT NOT WHEN
shinyAppDir("lossShiny")
##
## Listening on http://127.0.0.1:5815
dark_bar2
## No trace type specified:
## Based on info supplied, a 'bar' trace seems appropriate.
## Read more about this trace type -> https://plotly.com/r/reference/#bar
# tree # this is the plotly one
p
