Forum Discussion
Help downloading sample data
Hi all,
I need to download a sales analysis based sample .pbix to practice on Dax. I cannot upload anything to my SQL Server so I need data I can access from my company firewall etc. Ideally local data. I have tried downloading the samples for Contoso and others but they are all pointing on external database that apparently I cannot access.
Is there anything ready maybe with excel base data?
Hi Anonymous
You can try to use the option "Try a sample data set" directly from the PBI desktop :
Or download csvs from this the linked sites :
https://www.kaggle.com/datasets/kyanyoga/sample-sales-data
https://data.world/datasets/sales
https://www.kaggle.com/datasets/aungpyaeap/supermarket-sales
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.
Hi Anonymous
https://github.com/graphql-compose/graphql-compose-examples/tree/master/examples/northwind/data/csv
Northdiwnd with separated tablesP.S
You can also take a big table and split it into facts and dims,
It is a great data modeling exercise.If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
4 Replies
Hi Anonymous
You can try to use the option "Try a sample data set" directly from the PBI desktop :
Or download csvs from this the linked sites :
https://www.kaggle.com/datasets/kyanyoga/sample-sales-data
https://data.world/datasets/sales
https://www.kaggle.com/datasets/aungpyaeap/supermarket-sales
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.
Thanks Ritaf1983 , but I was looking for a dataset (now called semantic model) with all the separate tables you find in a sales analysis dataset: Sales, Clients, Products, etc.
Any guess on where I can find that?Hi Anonymous
https://github.com/graphql-compose/graphql-compose-examples/tree/master/examples/northwind/data/csv
Northdiwnd with separated tablesP.S
You can also take a big table and split it into facts and dims,
It is a great data modeling exercise.If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly