Transcript First group proposal and check-in presentation

NETWORK TRAFFIC
Jeffrey Klow, Paul German, Emily Andrulis, and Ben Oakley
Getting the Data
 Talk to the Tims
 Decreasing resolution -> Ask for additional
data sets for each day
 Find out bandwidth
Loading into R
 Merging both internet providers
 Changing UNIX timestamp
 Removing first row header
 Add variable for percentage of bandwidth
Future Data Issues
 Still have incoming data until Wednesday
 Merging into one big data set
 Megabytes vs. megabits for max bandwidth
What do we want to know?
 What does internet usage look like for the average week at
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Cornell?
When is there the most network traffic? What day? What
time?
When is there the least network traffic? What day? What
time?
What time slots use the maximum amount of bandwidth?
What percentage of our total bandwidth are we using
throughout the day?
How does this compare for different days in the same
week?
How does this compare across different months in the
year?
A First Look at the Data
 Noticed spikes at midnight and 9-11 AM
 Preliminary graphs
Visualizing the Data
 Static graphs
 Plotting usage over time in one day, using different colors
to represent upload/dowload averages and maximums of
both primary and secondary providers
 Plotting usage over year long time
 Plotting usage of many days in the same 24 hour time
span
 Comparing boxplots of the data usage for different days in
the week
Advanced Graphics
 Animated Graphs
 Plotting usage
over a two day time
period, where the
area under the line fills over time
 Interactive Graphs
 Allow user to set the day and time of day and then show
the average incoming and outgoing data usage, and the
maximum incoming
and outgoing
Working as a Team!
 Emily
 Static visuals
 Jeff
 Animated visuals, merging the data
 Paul
 Interactive visuals
Questions? Suggestions?