Scatterplot graph script

# To install plotly: install.packages('plotly')
# To ensure you have plotly: library(plotly)

# Import your dataset. You can use this script to generate a CSV for an entire month's worth of data:
# https://gist.github.com/vaidehijoshi/5bb92c2a3656d8b72fc731bb0d2bf243

# R Studio should recgonize your dataset automatically when you upload it, but if not, you can do something like this:
monthly_endpoint_percentages <- read.table('~/Code/scatter_plot_data.csv', sep=",", header=TRUE)

# If you want to graph the endpoints as compared to their app rpm's, use this command:
plot_ly(data=monthly_endpoint_percentages, type="scatter", x=~app_rpm, y=~endpoint_percentage)

# If you'd like the hover text to also display the app_id, you can add `text=~app_id`.
# Just be sure that your CSV actually has this column, before running this command.
plot_ly(data=monthly_endpoint_percentages, type="scatter", x=~app_rpm, y=~endpoint_percentage, text=~app_id)

# If you want to graph the logarithmic version of this data, make sure that you only have numeric values in your dataset.
# tl;dr -- remove the app_id from the CSV in order to make this work.
plot_ly(data=log(monthly_endpoint_percentages_without_app_id), type="scatter", x=~app_rpm, y=~endpoint_percentage)