https://github.com/datalorax/sds-pkg

Package for accompanying book on social data science with R
https://github.com/datalorax/sds-pkg

Last synced: 2 months ago
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Package for accompanying book on social data science with R

• Host: GitHub
• URL: https://github.com/datalorax/sds-pkg
• Owner: datalorax
• License: cc-by-4.0
• Created: 2020-12-01T23:42:15.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2020-12-10T00:53:44.000Z (about 4 years ago)
• Last Synced: 2023-03-01T23:28:05.046Z (almost 2 years ago)
• Language: R
• Size: 22.5 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# sds

[![R-CMD-check](https://github.com/datalorax/sds-pkg/workflows/R-CMD-check/badge.svg)](https://github.com/datalorax/sds-pkg/actions)

The **sds** package is designed to accompany the [Social Data Science with R](https://www.sds.pub) book. It includes a function to load data different datasets and will soon include [learnr](https://rstudio.github.io/learnr/) apps for some of the more introductory content.

## Installation

You can install the development version of the package from [GitHub](https://github.com/) with:

``` r

# install.packages("remotes")

remotes::install_github("datalorax/sds-pkg")

```

## Example

There are multiple datasets used throughout the book. See all the datasets [here](). We can load any of these datasets using the `get_data()` function, passing the name of the dataset. For example.

```{r example}

library(sds)

benchmarks <- get_data("benchmarks")

benchmarks

```

The `get_data()` function supports any of the following: `"benchmarks"`, `"ds-bowl-2019"`, `"k-entry"`, `"sesame"`, `"state-test"`, `"titanic"`, or `"violence"`, with others likely to be added later. You can then use these datasets to follow along with any of the examples in the book.