Short course introducing R programming in the Tidyverse
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Updated
Sep 4, 2024 - HTML
Short course introducing R programming in the Tidyverse
Data Wrangling in R, Lesson 1 - Working with Existing Variables
Getting started with using R more intently.
Analytical Projects using R
This is the Cyclistic bike-share analysis case study, a project capstone of Google Data Analytics brought by Coursera. It consists of 3 of 6 steps of data analysis process which are Prepare-Analyze-Share. (Note: The datasets have a different name because Cyclistic is a fictional company. For the purposes of this case study, the datasets are appr…
Demonstration of data wrangling with R. Common data cleaning and preprocessing tasks will be explored by locating open data from the web, import it into R, apply tidy data principles on the data and manipulate the data appropriately. The 'wh_staff_dataset.csv' contains the complete White House staff salary data from 1997-2020.
Slides and code presented in the second meetup of R-Ladies Frankfurt
This repo contains all class projects from my first in my Data Analytics program, designed to provide a deep dive into my grasp of analysis fundamentals and to exposure to key elements of data work.
This project aims to analyze the profitability of products sold in a departmental store during May 2020, a period significantly impacted by the COVID-19 pandemic. By examining sales patterns, customer preferences, and profitability metrics, the objective is to identify which products are more profitable for strategic decision making.
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