Code
using DrWatson
@quickactivate
include(srcdir("main.jl"))easy_save (generic function with 2 methods)Occurence Rate
Archived notebook using Python and R
Notes
It is hard to remove duplicate events when combining multiple datasets with different τ. So when using the combined dataset, the occurence rate would be overestimated.
Code
j_events_taus = load_taus(60:-10:20)┌ Warning: automatically converting Arrow.Timestamp with precision = NANOSECOND to `DateTime` which only supports millisecond precision; conversion may be lossy; to avoid converting, pass `Arrow.Table(source; convert=false)
└ @ Arrow /Users/zijin/.julia/packages/Arrow/5pHqZ/src/eltypes.jl:273Number of events: 26274
Number of events: 28333
Number of events: 30669
Number of events: 34057
Number of events: 384985×2 DataFrame
| Row | tau | nrow |
|---|---|---|
| Int64 | Int64 | |
| 1 | 20 | 38498 |
| 2 | 30 | 27886 |
| 3 | 40 | 21342 |
| 4 | 50 | 17995 |
| 5 | 60 | 14302 |