January 2023

Win a $400 Amazon Voucher from our sponsors Pomerol, Qlik, Astrato, & NovyPro, a DATAcated Circle membership worth $497 and 2 data books from our sponsors Packt!

A winning entry will be chosen based on best visualization and successfully following the entry rules – winning a $400 Amazon voucher code courtesy of Pomerol Partners, Qlik, Astrato, DATAcated & NovyPro, a DATAcated circle membership worth $497 and 2 eBooks from packt!

The top 5 entries will also receive 2 data eBooks from our sponsors Packt Plus, all entries submitted using Astrato will be entered into a special mini-competition. And the winning entry will receive an exclusive Astrato goodie bag!

We also now have amazing badges to be won!

How to submit your entry:

  • Follow Pomerol Partners on LinkedIn (it’s OK if you already follow Pomerol Partners)​
  • Share a LinkedIn post on your profile that contains both a direct @ mention to @Pomerol Partners, @Qlik, @Astrato Analytics, @NovyPro, @DATAcated and the hashtag #dataDNA
  • In your post, share an image of your visualization or dashboard (remember, it must be a single image)
  • Tag, mention, and invite at least 1 connection to view your post or play along

How to Create an Astrato Entry:

Want to try your hand at Astrato? The December DataDNA Challenge is the perfect dataset for fun, fast, and creative exploration!

This month, you’ll find the data available in the Astrato DemoData Connection. Follow the steps below to get started:

To Connect to Sample Sales Data

  • Log in to Astrato
  • If this is your first time logging in, make sure that you import the demo workbooks by clicking on the demo workbook card from the workbook section to establish a connection to the demo data!
  • Click “New Workbook” at the top right corner of your workspace
  • On the next screen, select “New Data View”
  • Select the Demodata Snowflake connection from the Data Source list. This will open the Data View Editor.
  • Select the STARBUCKS Data Table and begin to create your masterpiece!

Starbucks Dataset

Welcome to the DataDNA Starbucks Dataset Challenge!

Credit: Kaggle


Q: Can you identify the most nutritious items on the menu?

Dataset Details

This dataset includes the nutritional information for Starbucks’ food and drink menu items. All nutritional information for drinks are for a 12oz serving size.

Data Dictionary

  • TBD

DataDNA Dataset Challenge January 2023

Select “Get Data” below to download the dataset

Please read the challenge terms and conditions before participating.

Ready to kick start your data analytics journey?