<s>[INST] Here is a sample of Python script that uses a third-party library (pip install faker) to create a dataframe of fake data and then creates statistical reports. 
```python
import pandas as pd 
import numpy as np
from faker import Faker 
import matplotlib.pyplot as plt

fake = Faker()
np.random.seed(0)

# Industry
industries = ['Education', 'Entertainment', 'Healthcare', 'Finance'] 
# Generate fake data into dataframe
df = pd.DataFrame({
  'Company': [fake.company() for _ in range(100)],
  'Industry': np.random.choice(industries, size=100),
  'Revenue' : np.random.randint(50000, 1000000, size=100)
  })

#Group by different categories and calculate the aggregate values
df_mean = df.groupby('Industry')['Revenue'].mean()
df_median = df.groupby('Industry')['Revenue'].median()
df_std = df.groupby('Industry')['Revenue'].std()

#Plotting
plt.figure(figsize=(12,6))
plt.bar(df_mean.index, df_mean.values)
plt.title('Revenue by Industry')
plt.xlabel('Industry')
plt.ylabel('Revenue')

plt.show()
```
This is great script but I would like to do some additional analysis. So, I want to add a new column to the dataframe called "Profit" where the profit will be randomly selected from -20 to 50% of the revenue.
```python
df['Profit'] = df['Revenue'] * ((np.random.rand(df.shape[0]) * 30)-20)/100
```
However, if I add this column to my existing dataframe, it will affect my existing analysis. Is there any way that I can add this "Profit" column to my dataframe and still keep my existing analysis intact?[/INST]