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These analysis projects were made using R programming, including the use of packages such as: ggplot, tidyverse, among others.
Project 1: Blue Fox Games Historic Sales Analysis
Project 1: Blue Fox Games Historic Sales Analysis
Blue Fox Games, a game development company is planning to develop a catalog of various games. They want to discover and define industry trends and user preferences to ensure the most potential players and better sales.
Objectives: Define user trends and preferences by analyzing game sales data, find insights in order to get better game critics, how could the company comply with better game standards?, how to apply the insights?
Content: Analysis of data collected from 1980 to 2016 defining insights and user trends, descriptive graphs and charts presenting important results about crucial aspects, exploratory analysis of relevant aspects of observations.
Report: github.com
VG_Presentation.pptxProject 2: Cyclistic Transportation. User's Trends Analysis
Project 2: Cyclistic Transportation. User's Trends Analysis
Cyclistic’s finance analysts have concluded that annual members are much more profitable than casual riders. According to the information of the current situation, it would be best to take necessary measures to convert casual users into members.
For this project, I was given access to the past 7 months of data collected from customers. My objective as an analyst is to answer the following question: how do annual members and casual riders use Cyclistic bikes differently? and define what measures are necessary by the company to ensure that the majority of casual users become members.
Report: github.com
Presentation 1.pptxProject 3: Bellabeat. Device Usage Analysis. (R Markdown)
Project 3: Bellabeat. Device Usage Analysis. (R Markdown)
Bellabeat, a high-tech manufacturer of health-focused products for women. Co-founder and Chief Creative Officer of Bellabeat, believes that analyzing smart device fitness data could help unlock new growth opportunities for the company.
The goal for this analysis is to analyze smart device data to gain insight into how consumers are using their smart devices. The insights you discover will then help guide marketing strategies for the company.
Report: github.com
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