This dataset contains data for 6534 different cards from the Yu-Gi-Oh! Trading Card Game. It contains the following columns: Name: The name of the card.
Type: The card's type (i.e. Normal Monster, Effect Monster, Trap Card, etc.)
Level: Summoning Level
Race: The card's race (i.e. Warrior, Dragon, Spellcaster, etc.),
Attribute: The card's attribute (i.e. Water, Fire, Wind, etc.)
ATK: The card's attack points
DEF: The card's defense points
link: https://www.kaggle.com/tathor/yugioh-trading-cards-dataset
The main purpose of this exploration is to get to know the game with an abstract view of the game cards. We also explored the game and try to find relations and to answer some questions that arise in deeper analyses. I found that the majority of the cards are the monster cards then spell and trap cards. So I needed to explore more in the monsters and found that a monster may have lose attack and defense points, their attack and defense points tends to increase with the increase of their level. Also, Dragon-Type monsters have the highest average attack and defense points among the monsters' game.
I tried to plot a story throughout the presentation to better communicate findings and to develop better visuals the understand the simplfy the data. So I started with simple visuals to explain our data fields and then gradually increase the graph complexity and dimensionality.
View from HERE