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()
```

If `pip` is not recognized as a command, it might be because it is not installed or not added to your system's PATH. Here are steps to address this:

1. **Ensure Python and pip are installed**:
   - If you are on Windows, you can download the Python installer from [python.org](https://www.python.org/downloads/). During installation, make sure to check the option to "Add Python to PATH".
   - If you are on macOS or Linux, Python might already be installed. You can check by running `python --version` or `python3 --version` in the terminal.

2. **Installing pip**:
   - If Python is installed but pip is not, you can install pip manually. Download `get-pip.py` by running:
     ```bash
     curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
     ```
   - Then run the following command to install pip:
     ```bash
     python get-pip.py
     ```

3. **Using pip3**:
   - On some systems, especially if both Python 2 and Python 3 are installed, you might need to use `pip3` instead of `pip`. You can install matplotlib using:
     ```bash
     pip3 install matplotlib
     ```

4. **Verify the installation**:
   - After installing pip, you can verify the installation by running:
     ```bash
     pip --version
     ```
   - If you had to use `pip3` to install, verify with:
     ```bash
     pip3 --version
     ```

5. **Installing matplotlib with pip**:
   - Once pip is available, you can install matplotlib by running:
     ```bash
     pip install matplotlib
     ```
   - Or if you used `pip3`:
     ```bash
     pip3 install matplotlib
     ```

6. **Running the script**:
   - After installing matplotlib, create the `generate_charts.py` file as described previously, and run it with:
     ```bash
     python generate_charts.py
     ```
   - Or if you need to use Python 3 explicitly:
     ```bash
     python3 generate_charts.py
     ```

If you run into any specific issues or errors during these steps, please let me know so I can help troubleshoot further.

### 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
```