## Data Analytics for the Social Sciences

POL 30430 **Data Analytics for the Social Sciences**

Tuesday, 1-3 pm, lab G6, Daedalus Building.

R can be downloaded for free here. A handy overview of R regression commands can be found here: reference card for regression. A more general one for R is here: short reference card. The Google R Style guide provides suggestions for writing clear code.

You should also install RStudio, *after* installing R.

1 | 12/9 | Introduction | slides | lab | output | markdown cheat sheet | videos: markdown | importing Excel | using packages |

2 | 19/9 | Data inspection and visualisation | slides | lab | output | |

3 | 26/9 | Distributions and descriptive statistics | slides | lab | output | |

4 | 3/10 | Comparing through visualisation | slides | lab | output | ggplot cheat sheet | Top 50 ggplot examples |

5 | 10/10 | Linear regression (and wrangling) | slides | lab | output | videos: merging |

6 | 17/10 | Logistic regression | slides | lab | output | |

7 | 24/10 | Trees and forests | slides | lab | output | |

8 | 31/10 | Geography and networks | slides | lab | demo | |

9 | 7/11 | Cluster analysis | slides | lab | output | |

10 | 14/11 | Principal components and multidimensional scaling | slides | lab | output | |

11 | 21/11 | Wordscores | slides | lab | output | |

12 | 28/11 | Topic models | slides | lab | output |