Finding reliable and interesting data to build reports with can be surprisingly difficult. Whether you’re learning Looker Studio or simply want to experiment with visualisations, having access to well-structured, ready-to-use datasets makes all the difference.
In this post, you’ll find five free datasets for Looker Studio practice. They’re the same ones I use across my tutorials and examples on this blog.
👉 Access all datasets here
(Open the document and select File → Make a copy to save your own version.)
If you need help connecting them, check out my post on how to add data sources to your report in Looker Studio for a quick refresh.
🎬 Top 100 Movies 2019
What it contains
A list of the 100 highest-grossing movies of 2019. I chose that year because it reflects a more typical cinema-going pattern before the pandemic significantly changed viewing habits.
Main fields
- Movie title (English)
- Gross revenue
- Distributor
- Release date
- Main genre 1
- Main genre 2
How to access it
Open the Top 100 Movies 2019 dataset and make your own copy (File → Make a copy).
🎧 Spotify 2023
What it contains
Nearly 1,000 of the most-played songs from January to July 2023, ideal for creating charts about music trends and artist performance.
Main fields
This dataset includes 25 fields, such as:
- Track name and artist(s)
- Release date
- Streams and playlist appearances across Spotify, Apple Music, and Deezer
- Audio characteristics like danceability %, energy, and valence
How to access it
Open the Spotify 2023 dataset and make a copy to your Google Drive.
🛒 Superstore Products
What it contains
A fictional dataset with almost 10,000 rows of e-commerce transactions and product information. Perfect for practising calculations and filters in Looker Studio.
Main fields
- Product name, category, and subcategory
- Shipping type
- Customer and transaction IDs
- Destination country or region
- Some of the metrics: gross revenue, net revenue, and discount
How to access it
Open the Superstore Products dataset and make your own copy.
👩💼 Customers
What it contains
Another fictional dataset that complements Superstore Products by including demographic data about its customers.
Main fields
- Customer ID
- Gender
- Age
- Annual salary
- Profession
- Years of work experience
- Household size
How to access it
Open the Customers dataset and make a copy.
🏬 H&M Stores
What it contains
A world dataset with more than 4,000 H&M stores across the globe. It’s great for practising maps, filters, and calculated fields in Looker Studio.
Main fields
- Store code, name, and class
- City, country, and continent
- Longitude and latitude
- Opening hours for each day of the week
- Total weekend hours
How to access it
Open the H&M Stores dataset and make your own copy.
💡 Final Thoughts
When you’re just starting out, finding free datasets for Looker Studio practice can be the hardest part. The ones above give you everything you need to explore real-world use cases, from e-commerce and entertainment to music and retail analytics.
Once you’ve copied the files, connect them to your Looker Studio report, experiment with charts, and start creating dashboards that tell a story. You can even combine datasets. For example, linking Customers and Superstore Products using the Customer ID field to add extra depth to your analysis.
❓ FAQs – Datasets for Looker Studio practice
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1. Why is it so hard to find datasets for Looker Studio practice?
Because most public datasets aren’t formatted for visualisation tools. These ones are already structured and cleaned for easy use in Looker Studio.
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2. Can I combine these datasets in a single report?
Yes. You can blend them based on common fields (like Customer ID) to create multi-source dashboards.
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3. Do I need permission to use these datasets for Looker Studio practice?
No, they’re freely available for educational and practice purposes.
