Read in a data set for final project
For HW03, I am reading in data from a recent survey administered by my employer, Parallax Advanced Research, to better understand the current state of innovation culture inside the organization.
Below are the variables included in the survey data, along with data types and descriptions. The dataset is already tidy for the purpose of calculation, but some numerical data types may need to be recoded on-the-fly to reflect the categories of the 7-point Likert scale (strongly disagree to strongly agree).
knitr::opts_chunk$set(echo = TRUE)
library(readxl)
innovation_description <- read_excel(path="/Users/angelasmith/Desktop/DACSS601/Final Project/OI Innovation Culture Survey 2021 - for DACSS final.xlsx", range="Description!A1:C36")
library(rmarkdown)
paged_table(innovation_description)
knitr::opts_chunk$set(echo = TRUE)
library(readxl)
innovation <- read_excel(path="/Users/angelasmith/Desktop/DACSS601/Final Project/OI Innovation Culture Survey 2021 - for DACSS final.xlsx", range="Numerical!A1:AO53")
library(rmarkdown)
paged_table(innovation)
Note: I noticed the data types in the bottom table are incorrect, and some of the data is not reading-in properly (see calendar dates). I am not sure how to fix this? I’ve changed the data types in Excel, but that didn’t seem to work.
Which survey subscales, if any, are statistically different by demographic groups? If there are statistical differences in the survey subscales based on demographic groups, are there specific questions driving these differences? Do descriptive statistics indicate areas of improvement that Parallax should address?
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For attribution, please cite this work as
Smith (2022, Jan. 3). Data Analytics and Computational Social Science: HW03. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomangelanicolesmith852826/
BibTeX citation
@misc{smith2022hw03,
author = {Smith, Angela},
title = {Data Analytics and Computational Social Science: HW03},
url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomangelanicolesmith852826/},
year = {2022}
}