Win a $300 Amazon Voucher from our sponsors Pomerol, Astrato, NovyPro & Onyx Data 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 $300 Amazon voucher code courtesy of Pomerol Partners, Astrato, NovyPro & Onyx Data 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, @Onyx Data, @Astrato Analytics, @NovyPro 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 5 connections to view your post or play along (optional)

How to Create an Astrato Entry:

Want to try your hand at Astrato? The July Onyx 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:

  • 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 “Create 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 Pokemon Table and begin to create your masterpiece!

Pokemon Dataset

  • This month we are analyzing Pokemon data!
  • Can you build a Pokemon dream team? A team of 6 Pokemon that inflicts the most damage while remaining relatively impervious to any other team of 6 Pokemon.

Credit Kaggle

Data Dictionary

Column Name Column Name (Details)Data Type
nameThe English name
japanese_nameThe Original Japanese name of the Pokemon
pokedex_numberThe entry number of the Pokemon in the National Pokedex
percentage_maleThe percentage of the species that are male. Blank if the Pokemon is genderless.
type1The Primary Type of the Pokemon
type2The Secondary Type of the Pokemon
classificationThe Classification of the Pokemon as described by the Sun and Moon Pokedex
height_mHeight of the Pokemon in metres
weight_kgThe Weight of the Pokemon in kilograms
capture_rateCapture Rate of the Pokemon
base_egg_stepsThe number of steps required to hatch an egg of the Pokemon
abilitiesA stringified list of abilities that the Pokemon is capable of having
experience_growthThe Experience Growth of the Pokemon
base_happinessBase Happiness of the Pokemon against_?: Eighteen features that denote the amount of damage taken against an attack of a particular type hp: The Base HP of the Pokemon
attackThe Base Attack of the Pokemon
defenseThe Base Defense of the Pokemon
sp_attackThe Base Special Attack of the Pokemon
sp_defenseThe Base Special Defense of the Pokemon
speedThe Base Speed of the Pokemon
generationThe numbered generation which the Pokemon was first introduced
is_legendaryDenotes if the Pokemon is legendary.

Data DNA – Dataset Challenge July 2022

Welcome to the Onyx Data July 2022 Data DNA – Dataset Challenge!

This month we will be visualizing the Pokemon Dataset!

Please read the challenge terms and conditions before participating.

Download the dataDNA dataset

Welcome to the July 2022 Data DNA – Dataset Challenge!

This month we will be visualizing the Pokemon dataset.

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