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+# Conversas com Claude.ai - Componentization
+
+## Passo 1 - Módulo / Pacote
+
+Consider the following code:
+
+
+```
+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv('intake-person-demo(potato-chips).csv')
+
+plt.figure(figsize=(10, 6))
+scatter = plt.scatter(df['age'], df['intake_bw'], c=df['intake_bw'], cmap='viridis')
+
+plt.xlabel('age')
+plt.ylabel('intake_bw')
+plt.title('Age vs. Intake (body weight)')
+
+plt.colorbar(scatter, label='intake_bw')
+
+plt.show()
+```
+
+How can I reorganize this code in two functions (table and scatter_plot) and a main code that call them?
+* table: receives the path as parameter and reads the CSV, returning the data
+* scatter_plot: receives the data, xfield, yfield, and title, ploting the scatter plot
+xfield and yfield are both the name of the field in the CSV and its label.
+
+<hr>
+
+### Answer
+
+~~~python
+
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def table(path):
+    """
+    Read CSV file and return the data.
+    
+    :param path: str, path to the CSV file
+    :return: pandas DataFrame
+    """
+    return pd.read_csv(path)
+
+def scatter_plot(data, xfield, yfield, title):
+    """
+    Create a scatter plot from the given data.
+    
+    :param data: pandas DataFrame
+    :param xfield: str, name of the x-axis field
+    :param yfield: str, name of the y-axis field
+    :param title: str, title of the plot
+    """
+    plt.figure(figsize=(10, 6))
+    scatter = plt.scatter(data[xfield], data[yfield], c=data[yfield], cmap='viridis')
+    
+    plt.xlabel(xfield)
+    plt.ylabel(yfield)
+    plt.title(title)
+    
+    plt.colorbar(scatter, label=yfield)
+    
+    plt.show()
+
+def main():
+    # Path to the CSV file
+    csv_path = 'intake-person-demo(potato-chips).csv'
+    
+    # Read the data
+    df = table(csv_path)
+    
+    # Create the scatter plot
+    scatter_plot(df, 'age', 'intake_bw', 'Age vs. Intake (body weight)')
+
+if __name__ == "__main__":
+    main()
+
+~~~
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