a-matos / Project-Pokemon_Catch_Game_Analysis

Pokémon Go! Catch Game Analysis

Project 3 - Team 12

Andreza dos Santos

Prabha Shankar

Hinna Ahmad

Anjali Sagar

Objective of the project

In 2016 Niantic in collaboration with Nintendo has launched a mobile game called Pokémon Go. The objective of this project is analyze some particularise of this game which has been downloaded over 1 billion times and named “Best Mobile Game” by the Game Developers Choice Awards and “Best App of the Year” by TechCrunch.

Major Questions

• How help first time players to know more about Pokémon character?
• How help players choose the best Pokémon for a battle?
• How many types of Pokémon exist? Is there difference between Generations?
• Is the weather reflecting the type of Pokémon that shows up?
• Which areas each Pokémon most likely would appear?

Datasource

https://pokeapi.co/

https://www.kaggle.com/datasets/semioniy/predictemall

Description of Data Analysis

Data Analysis was done in a 4 steps process.

• Step 1: Applied the Extract, transform, load process to the data source.
• Step 2: SQL & API was used to house the data.
• Step 3: Prepare visualization though JavaScript.
• Step 4: Make a presentation through PowerPoint

First-time player?! Let's meet some of the Pokémon!

Let's compare the HP and agility of each Pokémon and be prepared for the battle.

How many types of Pokémon are there by Generation?

How the weather conditions reflects the game?

By Weather

By Continent

Mapping the Pokémon according to weather condition.

Let's Catch'em all!!