Here is the list of data sources I use in the examples for the blog posts. Here I’ll explain what information they contain and how to access them.
Visit the post on how to add data sources to your report in Looker Studio if you need to learn more or refresh your memory.
Top 100 Movies 2019
What data does it contain?
It contains the 100 highest-grossing movies of 2019. I chose that year because it was the one before the pandemic, and the behavior regarding movie theater attendance was more typical than what we’ve seen since the pandemic started.
What fields does it have?
It has six fields: the title in English, gross revenue, distributor, release date, main genre 1, and main genre 2.
How can you access it?
You can access it through this link. Once you have the document open, remember to make a copy (File → Make a copy) so that the new document with the same data is your own.
Spotify 2023
What data does it contain?
It shows nearly 1,000 of the most-played songs from January to July 2023.
What fields does it have?
It has 25 fields in total, including the song name, artist(s), release date, the number of plays, the number of times the song appears in playlists and charts on Spotify and other platforms like Apple or Deezer, and variables describing it such as danceability percentage, energy, positivity, etc.
How can you access it?
Here is the link.
Superstore Products
What data does it contain?
This is fictional data with nearly 10,000 rows showing transactions and products sold in an online store.
What fields does it have?
It contains over 20 fields including the product name, the category and subcategory it belongs to, the shipping type, customer ID, the destination for the purchase, transaction ID, and metrics such as gross revenue, net revenue, and discount percentage.
How can you access it?
Here is the link.
Customers
What data does it contain?
This is also fictional data with information about some of the customers from the “Superstore Products” dataset.
What fields does it have?
It has seven fields: customer ID, gender, age, annual salary, profession, years of work experience, and household size.
How can you access it?
Through this link.
H&M Stores
What data does it contain?
It shows a list of over 4,000 H&M fashion brand stores worldwide.
What fields does it have?
It has 23 fields, mainly about store location and opening hours.
How can you access it?
Here is the link.
Remember to make a copy of the file once you open it (File → Make a copy), so that the new document with the same data is your own.