added example workflow

src/template_code_location/jobs/jobs.py

@@ -1,5 +1,12 @@
 from dagster import job
-from ..ops.ops import fetch_data, process_data
+from util_services.util_ops import preview_dataframe
+
+from ..ops.ops import (
+    fetch_data,
+    generate_example_dataset,
+    process_data,
+    transform_example_dataset,
+)
 
 
 @job
@@ -7,3 +14,12 @@ def data_processing_job():
     """A simple job that fetches and processes data."""
     raw = fetch_data()
     process_data(raw)
+
+
+@job
+def example_dataframe_demo_job():
+    """Demonstrates generating and transforming a pandas DataFrame with previews."""
+    original_df = generate_example_dataset()
+    preview_dataframe(original_df)
+    transformed_df = transform_example_dataset(original_df)
+    preview_dataframe(transformed_df)

src/template_code_location/ops/ops.py

@@ -1,3 +1,4 @@
+import pandas as pd
 from dagster import op
 
 
@@ -11,3 +12,26 @@ def fetch_data() -> list:
 def process_data(data: list) -> dict:
     """Processes raw data and returns a summary."""
     return {"count": len(data), "status": "success"}
+
+
+@op
+def generate_example_dataset() -> pd.DataFrame:
+    """Generates a small example dataset as a pandas DataFrame."""
+    return pd.DataFrame(
+        [
+            {"order_id": 1001, "customer": "Alice", "quantity": 2, "unit_price": 9.50},
+            {"order_id": 1002, "customer": "Bob", "quantity": 1, "unit_price": 15.00},
+            {"order_id": 1003, "customer": "Charlie", "quantity": 4, "unit_price": 7.25},
+            {"order_id": 1004, "customer": "Dora", "quantity": 3, "unit_price": 11.00},
+        ]
+    )
+
+
+@op
+def transform_example_dataset(df: pd.DataFrame) -> pd.DataFrame:
+    """Applies a simple transformation to the example dataset."""
+    
+    df["price_band"] = df["total_price"].apply(
+        lambda value: "high" if value >= 25 else "standard"
+    )
+    return df

src/template_code_location/repository.py

@@ -2,11 +2,11 @@ from dagster import Definitions
 from dataframe_level_anonymisation.jobs import (k_anonymity_job_s3,
                                                 l_diversity_job_s3,
                                                 t_closeness_job_s3)
+from template_code_location.jobs.jobs import (data_processing_job,
+                                              example_dataframe_demo_job)
 from util_services.custom_json_logger import simpl_json_logger
 from util_services.resources import s3_resource
 
-from template_code_location.jobs.jobs import data_processing_job
-
 defs = Definitions(
     jobs=[
         data_processing_job,