Corrected notebook

raphael-intugle · raphael-intugle · commit 47a0b2fd9bb1 · 2025-10-02T23:33:56.000+05:30
diff --git a/notebooks/quickstart_native_snowflake.ipynb b/notebooks/quickstart_native_snowflake.ipynb
@@ -22,8 +22,8 @@
    "authorId": "9200264168148",
    "authorName": "RAPHAEL.TONY",
    "authorEmail": "RAPHAEL.TONY@INTUGLE.AI",
-   "sessionId": "ab2dde1f-cac7-4355-81ef-0b0cc866b0db",
-   "lastEditTime": 1759419536254
+   "sessionId": "62d4d664-ed69-4191-b119-a8bfac36affe",
+   "lastEditTime": 1759428088138
   }
  },
  "nbformat_minor": 5,
@@ -1891,7 +1891,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": "patients_dataset = sm.datasets['PRODUCTS']\npatients_dataset.profiling_df"
+   "source": "products_dataset = sm.datasets['PRODUCTS']\nproducts_dataset.profiling_df"
   },
   {
    "cell_type": "markdown",
@@ -3253,7 +3253,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": "data_product.run(domain=\"Healthcare\")\ndata_product.profiling_df"
+   "source": "data_product.run(domain=\"Technology Manufacturing Company\")\ndata_product.profiling_df"
   },
   {
    "cell_type": "markdown",

Original file line number	Diff line number	Diff line change
`@@ -22,8 +22,8 @@`
`22`	`22`	`"authorId": "9200264168148",`
`23`	`23`	`"authorName": "RAPHAEL.TONY",`
`24`	`24`	`"authorEmail": "RAPHAEL.TONY@INTUGLE.AI",`
`25`		`- "sessionId": "ab2dde1f-cac7-4355-81ef-0b0cc866b0db",`
`26`		`- "lastEditTime": 1759419536254`
	`25`	`+ "sessionId": "62d4d664-ed69-4191-b119-a8bfac36affe",`
	`26`	`+ "lastEditTime": 1759428088138`
`27`	`27`	`}`
`28`	`28`	`},`
`29`	`29`	`"nbformat_minor": 5,`
`@@ -1891,7 +1891,7 @@`
`1891`	`1891`	`"output_type": "execute_result"`
`1892`	`1892`	`}`
`1893`	`1893`	`],`
`1894`		`- "source": "patients_dataset = sm.datasets['PRODUCTS']\npatients_dataset.profiling_df"`
	`1894`	`+ "source": "products_dataset = sm.datasets['PRODUCTS']\nproducts_dataset.profiling_df"`
`1895`	`1895`	`},`
`1896`	`1896`	`{`
`1897`	`1897`	`"cell_type": "markdown",`
`@@ -3253,7 +3253,7 @@`
`3253`	`3253`	`"output_type": "execute_result"`
`3254`	`3254`	`}`
`3255`	`3255`	`],`
`3256`		`- "source": "data_product.run(domain=\"Healthcare\")\ndata_product.profiling_df"`
	`3256`	`+ "source": "data_product.run(domain=\"Technology Manufacturing Company\")\ndata_product.profiling_df"`
`3257`	`3257`	`},`
`3258`	`3258`	`{`
`3259`	`3259`	`"cell_type": "markdown",`