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Quarto GHA Workflow Runner
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Jul 31, 2023
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--- | ||
output: | ||
github_document: | ||
html_preview: false | ||
--- | ||
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<!-- README.md is generated from README.Rmd. Please edit that file --> | ||
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```{r, include = FALSE} | ||
knitr::opts_chunk$set( | ||
collapse = TRUE, | ||
warning = FALSE, | ||
message = FALSE, | ||
comment = "#>", | ||
fig.retina = 3 | ||
) | ||
``` | ||
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## EMSE 4572: Exploratory Data Analysis <a href='https://github.com/emse-eda-gwu/'><img src='images/eda_hex_sticker.png' align="right" height="139"/></a> | ||
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<!-- badges: start --> | ||
[![License: CC-BY-SA 4.0](https://img.shields.io/badge/License-CC%20BY--SA-lightgrey)](https://creativecommons.org/licenses/by-sa/4.0/) | ||
<!-- badges: end --> | ||
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### Description | ||
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```{r child = '_description.Rmd'} | ||
``` | ||
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### Select Section | ||
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Select to view the course site for a particular semester: | ||
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- [Spring 2020 (listed as EMSE 4197)](http://eda.seas.gwu.edu/2020-Spring/) | ||
- [Spring 2021 (listed as EMSE 4575)](http://eda.seas.gwu.edu/2021-Spring/) | ||
- [Fall 2022](http://eda.seas.gwu.edu/2022-Fall/) | ||
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### Student Project Showcase | ||
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Select to view the showcase of student projects from a previous semester: | ||
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- [Spring 2020](http://eda.seas.gwu.edu/showcase-2020-spring.html) | ||
- [Spring 2021](http://eda.seas.gwu.edu/showcase-2021-spring.html) | ||
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### Acknowledgments | ||
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This course was inspired by many other courses / resources that cover similar material - see the course [about page](http://eda.seas.gwu.edu/about.html) for more details. |
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p4a.seas.gwu.edu |
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Type: Website | ||
Package: emsep4a | ||
Title: Intro to Programming for Analytics | ||
Authors@R: c( | ||
person(given = "John", | ||
family = "Helveston", | ||
role = c("aut", "cre", "cph"), | ||
email = "[email protected]", | ||
comment = c(ORCID = "0000-0002-2657-9191"))) | ||
) | ||
Depends: R (>= 3.6.0) | ||
License: CC-BY-SA | ||
Encoding: UTF-8 | ||
Imports: | ||
rmarkdown, | ||
knitr, | ||
yaml, | ||
tidyverse, | ||
devtools, | ||
roxygen2, | ||
here | ||
Remotes: | ||
rstudio/fontawesome, | ||
rstudio/rmarkdown |
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