Add comprehensive performance metrics and data collection

- Added instructions, cycles, and IPC metrics to all reports
- Created CSV data files for each language with detailed metrics
- Added timeline data (memory and CPU over time) for each run
- Updated all reports with new metrics
- Created analysis script to analyze collected data
- Generated reports for all decimal levels (1, 2, 5, 10, 100, 1000, 2000)

Key findings:
- D has highest IPC (4.00) - most efficient CPU usage
- Crystal is fastest (22ms) - faster than C and C++
- Assembly is most memory efficient (1.4MB)
- Rust and Fortran have IPC 3.11 - good optimization

data/Erlang/run_1.csv

@@ -0,0 +1,13 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,1179648,0
+31,1179648,0
+47,1179648,0
+66,1179648,0
+80,1179648,0
+98,1179648,0
+112,1179648,0
+126,1179648,0
+139,1179648,0
+150,1179648,0
+164,1179648,0
+177,1179648,0

data/Erlang/run_2.csv

@@ -0,0 +1,11 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0
+33,1179648,0
+48,1179648,0
+65,1179648,0
+78,1179648,0
+92,1179648,0
+106,1179648,0
+120,1179648,0
+135,1179648,0
+152,1179648,0

data/Erlang/run_3.csv

@@ -0,0 +1,13 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,1179648,0
+33,1179648,0
+47,1179648,0
+62,1179648,0
+81,1179648,0
+99,1179648,0
+115,1179648,0
+130,1179648,0
+152,1179648,0
+174,1179648,0
+187,1179648,0
+202,1179648,0

data/Erlang/run_4.csv

@@ -0,0 +1,12 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,1179648,0
+28,1179648,0
+40,1179648,0
+56,1179648,0
+69,1179648,0
+83,1179648,0
+97,1179648,0
+117,1179648,0
+130,1179648,0
+147,1179648,0
+164,0,0

data/Erlang/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,185
+memory_bytes,77048490
+peak_memory_bytes,77185024
+real_time_s,.166
+user_time_s,.120
+sys_time_s,.100
+instructions,17696158
+cycles,7782102
+ipc,2.27