{"repo":"hoangsonww/North-Carolina-Household-Analysis","free":true,"listed":false,"github":"https://github.com/hoangsonww/North-Carolina-Household-Analysis","clone":"git clone https://github.com/hoangsonww/North-Carolina-Household-Analysis.git","description":"🏠 This repository contains data analysis scripts for the 2022 American Community Survey (ACS) focusing on individuals aged 25 and over in North Carolina, based on 75,340 observations. This repository offers valuable insights into demographic and economic patterns across North Carolina's urban areas.","language":"R","stars":16,"topics":["confidence-interval","confidence-score","data","data-analysis","data-analytics","data-science","data-visualization","ggplot2","hypothesis-testing","hypothesis-tests"],"license":"MIT","category":"analytics","readme_excerpt":"2022 North Carolina ACS Data Analysis in R and Stata Welcome to the repository for data analysis on the American Community Survey (ACS) 2022 focusing on the state of North Carolina. This project examines a wide array of demographic and economic data concerning individuals aged 25 and older. With 75,340 observations, our analysis aims to uncover patterns related to education and income across different cities in North Carolina. Data Source The primary dataset, acsnc2022.Rdata , encapsulates survey results from the 2022 American Community Survey (ACS) concerning North Carolina residents aged 25 and above. The dataset is comprehensive and provides a fertile ground for in-depth demographic and economic analysis. Scripts Overview This repository includes three R scripts designed to perform analyses at varying levels of complexity: 1. BasicAnalysis.R This script introduces the dataset and performs preliminary data manipulation and exploration. Key operations include: - Loading the acsnc2022.Rdata dataset. - Creating a binary indicator for college education. - Basic summary statistics to understand the dataset's composition. The output will be visible in the R console, providing an initial overview of the data's structure and content. 2. IntermediateAnalysis.R Building on the basic analysis, this script delves deeper into the dataset by: - Grouping data by metropolitan area ( met2023 ). - Calculating mean and standard deviation of total income ( inctot ) within each group. - Determi","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/North-Carolina-Household-Analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}