Fitbase Data CaseStudy: Data Analytics with R Programming language scripts by @iamscorefield
Hey there! Let me walk you through how I use the R Programming language in RStudio for data analytics CaseStudy. I will follow the six phases of the data analysis (Ask, Prepare, Process, Analyze, Share, and Act).
First Let's walk through the Scenario…
As a junior data analyst working on the marketing analyst team at Bell a high-tech manufacturer of health-focused products for women, a successful small company, but they have the potential to become a larger player in the Market, My task is to use the user-generated data from the company's Mobile App to analyze smart device usage data in order to gain insight into how consumers the company smart devices, specifically daily sleep and daily activity. She then wants you to select one of the company’s products to apply these insights in your presentation.
I downloaded the data from Fitbit Fitness Tracker Data (CC0: Public Domain, dataset made available through Mobius): This Kaggle data set contains a personal fitness tracker from thirty Fitbit users.
I use R programming for this Data Analytics task, first to import the dataset in the R console, so I imported the downloaded dataset to begin the process
I used R scripts, see the below image…
First is to install all packages needed so the function can be available so using install.packages() R syntax and use available.packages() to see all available package, then load them with library() syntax.
To import the datasets I used to read.csv syntax..
change column names and Combine Datasets in the R console…
I Installed the ggplot2 packages function that allows R script writer using R studio to visualize their data analysis report
Visualization in RStudio with R scripts
Thanks for the time to walk through my Analytics task in Rstudio with R scripts, I would appreciate your comment, what’s your insight feedback, and your question. Please feel free to comment, share, and Like.
Gratitude!!!
