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/JavaScript/run_1.csv

@@ -0,0 +1,5 @@
+timestamp_ms,memory_bytes,cpu_percent
+22,1179648,0
+42,1179648,0
+74,1179648,0
+90,1179648,0

data/JavaScript/run_2.csv

@@ -0,0 +1,6 @@
+timestamp_ms,memory_bytes,cpu_percent
+14,1179648,0
+32,1179648,0
+54,1179648,0
+79,1179648,0
+93,1179648,0

data/JavaScript/run_3.csv

@@ -0,0 +1,7 @@
+timestamp_ms,memory_bytes,cpu_percent
+17,1179648,0
+36,1179648,0
+54,1179648,0
+78,1179648,0
+102,1179648,0
+119,0,0

data/JavaScript/run_4.csv

@@ -0,0 +1,6 @@
+timestamp_ms,memory_bytes,cpu_percent
+22,1196032,0
+52,1196032,0
+67,1196032,0
+89,1196032,0
+105,0,0

data/JavaScript/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,118
+memory_bytes,44417024
+peak_memory_bytes,44580864
+real_time_s,.090
+user_time_s,.070
+sys_time_s,.010
+instructions,18142055
+cycles,9003896
+ipc,2.01