# What kind of data analysis problem is this?

This might be a dumb question, but I am an absolute beginner.

What kind of data analysis problem is the following?

Is it an Exploratory Data Analysis problem/Data Mining problem/data analytics problem?

Secondly, what steps can I follow to solve the following problem? Is there any algorithm?

Records in this data set describe decks of cards used in a popular collectible card video game called "Clash Royale". These decks were obtained using the RoyaleAPI.com service, from games that took place in January 2019. Each record consists of five values:

• timestamp of the game (column timestamp),
• arena ID (column arena_id – higher the arena, more skilled/experienced a player is)
• outcome of a game (column has_won, 1 – the player won, 0 the player lost)
• a player ID (column tag)
• list of exactly eight cards in the player’s deck separated by “_” signs (column player_deck)

Your task is to analyze this data and search for interesting card usage patterns, and interactions/dependencies between cards.

For example:

• find card combos that were particularly popular in January 2019 (e.g., top 100 card sets with regard to their support, top 100 card sets of size 2, size 3, etc.),
• identify those card combos which have high win-rates (e.g., top 100 card sets with regard to win-rate and with support > 1%),
• does the card usage/popularity/effectiveness changes in time?
• does the arena level have any influence on card usage/popularity/effectiveness?
• find interesting associations between cards,
• can you cluster players according to their play patterns and card preferences? Additionally, design and construct a card recommender system that allows players to indicate four cards which they want to have in a deck, and recommends the remaining four to create a reasonable deck. How can you evaluate the effectiveness of the recommendations? You have to report the discoveries in the form of an R notebook (with code and all computation outcomes). You have to remember about visualizations. I.e. you have to make this report as visually interesting for a reader as you can.