Add scripts/graphs/analysis_graphs_py_inst.md

scripts/graphs/analysis_graphs_py_inst.md

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+This script will generate the required charts and save them as `performance_per_dollar_recommended.png` and `combined_scores_recommended.png` in the same directory as the script.
+
+### Updated Python Script:
+
+```python
+import matplotlib.pyplot as plt
+
+# Data for Performance per Initial Dollar
+systems = [
+    "Custom Built Server",
+    "MINISFORUM UM690S",
+    "MINISFORUM UM790 Pro",
+    "MINISFORUM UM690 Pro",
+    "Beelink SER5",
+    "CyberGeek Mini PC",
+    "KAMRUI Mini PC"
+]
+performance_per_dollar = [
+    19.08, 39.82, 29.08, 36.13, 34.66, 31.25, 32.58
+]
+
+# Data for Total Combined Score
+combined_scores = [
+    27_004.6, 62_419.6, 34_209.8, 46_814.7, 57_024.5, 45_619.6, 45_619.6
+]
+
+# Recommended system
+recommended_system = "MINISFORUM UM690S"
+
+# Plot Performance per Initial Dollar
+plt.figure(figsize=(10, 6))
+bars = plt.barh(systems, performance_per_dollar, color='skyblue', height=0.5)
+plt.xlabel('Performance per Initial Dollar')
+plt.title('Performance per Initial Dollar for Each System')
+plt.grid(True, axis='x', linestyle='--', alpha=0.7)
+plt.gca().invert_yaxis()
+plt.tight_layout()
+
+# Add the actual numbers at the end of the bars
+for bar, value in zip(bars, performance_per_dollar):
+    plt.text(value, bar.get_y() + bar.get_height()/2, f'{value:.2f}', va='center')
+
+# Highlight the recommended system
+for bar, system in zip(bars, systems):
+    if system == recommended_system:
+        bar.set_color('lightgreen')
+
+plt.savefig('performance_per_dollar_recommended.png')
+plt.show()
+
+# Plot Total Combined Score
+plt.figure(figsize=(10, 6))
+bars = plt.barh(systems, combined_scores, color='lightgreen', height=0.5)
+plt.xlabel('Total Combined Score')
+plt.title('Total Combined Score for Each System')
+plt.grid(True, axis='x', linestyle='--', alpha=0.7)
+plt.gca().invert_yaxis()
+plt.tight_layout()
+
+# Add the actual numbers at the end of the bars
+for bar, value in zip(bars, combined_scores):
+    plt.text(value, bar.get_y() + bar.get_height()/2, f'{value:.1f}', va='center')
+
+# Highlight the recommended system
+for bar, system in zip(bars, systems):
+    if system == recommended_system:
+        bar.set_color('skyblue')
+
+plt.savefig('combined_scores_recommended.png')
+plt.show()
+```
+
+### Instructions to run the script:
+It looks like `pip` was installed in a directory that is not included in your system's PATH. To resolve this, you can add the directory to your PATH temporarily or permanently.
+
+### Temporary Solution:
+1. **Temporarily add the directory to your PATH**:
+   ```bash
+   export PATH=$PATH:/home/datawarrior/.local/bin
+   ```
+2. **Verify pip is now accessible**:
+   ```bash
+   pip --version
+   ```
+
+### Permanent Solution:
+1. **Open your `.bashrc` file** (or `.bash_profile` or `.profile` depending on your system configuration) in a text editor:
+   ```bash
+   nano ~/.bashrc
+   ```
+2. **Add the following line** at the end of the file:
+   ```bash
+   export PATH=$PATH:/home/datawarrior/.local/bin
+   ```
+3. **Save the file and exit the text editor**.
+4. **Apply the changes**:
+   ```bash
+   source ~/.bashrc
+   ```
+
+### Installing matplotlib:
+After adding the directory to your PATH, you can proceed with installing matplotlib:
+```bash
+pip install matplotlib
+```
+
+### Running the Python script:
+Once matplotlib is installed, you can create the `generate_charts.py` script and run it:
+```bash
+python3 generate_charts.py
+```
+
+Here’s a quick summary of commands for the temporary solution:
+```bash
+export PATH=$PATH:/home/datawarrior/.local/bin
+pip install matplotlib
+```
+