add dataset access example to getting started scripts

docs/website/docs/intro.md

@@ -70,6 +70,10 @@ pipeline = dlt.pipeline(
 )
 
 load_info = pipeline.run(source)
+
+# print load info and posts table as dataframe
+print(load_info)
+print(pipeline.dataset().posts.df())
 ```
 
 Follow the [REST API source tutorial](./tutorial/rest-api) to learn more about the source configuration and pagination methods.
@@ -92,6 +96,10 @@ pipeline = dlt.pipeline(
 )
 
 load_info = pipeline.run(source)
+
+# print load info and the "family" table as dataframe
+print(load_info)
+print(pipeline.dataset().family.df())
 ```
 
 Follow the [SQL source tutorial](./tutorial/sql-database) to learn more about the source configuration and supported databases.
@@ -116,6 +124,10 @@ pipeline = dlt.pipeline(
 )
 
 load_info = pipeline.run(resource)
+
+# print load info and the "example" table as dataframe
+print(load_info)
+print(pipeline.dataset().example.df())
 ```
 
 Follow the [filesystem source tutorial](./tutorial/filesystem) to learn more about the source configuration and supported storage services.
@@ -128,7 +140,7 @@ dlt is able to load data from Python generators or directly from Python data str
 ```py
 import dlt
 
-@dlt.resource
+@dlt.resource(table_name="foo_data")
 def foo():
     for i in range(10):
         yield {"id": i, "name": f"This is item {i}"}
@@ -139,6 +151,10 @@ pipeline = dlt.pipeline(
 )
 
 load_info = pipeline.run(foo)
+
+# print load info and the "foo_data" table as dataframe
+print(load_info)
+print(pipeline.dataset().foo_table.df())
 ```
 
 Check out the [Python data structures tutorial](./tutorial/load-data-from-an-api) to learn about dlt fundamentals and advanced usage scenarios.