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Additionally it is possible to average the results of the analysis over the 0.25˚ grid points falling within administrative boundaries for the time series graph.
Fig. 4 Daily return series graph of Potato futures Fig. 5 Daily return series graph of mentha oil futures Fig. 6 Daily return series graph of crude oil futures Fig. 7 Daily return series graph of gold futures.
(a) Time series graph for prey (x t)); (b) Time series graph for predator (y(t)); (c) Phase space graph for prey (x t)) and predator (y(t)).
Fig. 8 Time series graph of student-teacher ratio for Burlington and Fort Supply districts.
The time series graph of different districts shows the positive or negative correlation.
Figure 6 With delay term (pmb{h_{1}=0.88}), time series graph of the system.
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These subcritical (hard and dangerous) and supercritical (soft and safe) Hopf bifurcations have been examined with time series graphs for all types (Type A-C) of stability boundaries present for the loops and occurring on the Npch - Nsub parameter plane.
Fig. 3 Example of WL case selection based on time series graphs of lightning frequency.
The winter lightning incidents (WL cases) to be used in the cluster analysis and case studies were selected based on time series graphs of lightning frequency, hourly lightning frequency maps, and meteorological radar images.
As with the analysis above, time series graphs of selected districts show how per-student expenditures have changed over time between districts with turbines in 2010 and those without turbines in 2010.
Arrays of lagged time series graphs provide an in-depth look at how timeliness patterns manifest in time series graphs.
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