ADA-DHOxSS

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Teaching materials for the Applied Data Analysis course at DHOxSS. Data science methods to analyse humanities data.

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# ADA-DHOxSS

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3352830.svg)](https://doi.org/10.5281/zenodo.3352830)

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Teaching materials for the Applied Data Analysis (ADA) activity strand at the [Digital Humanities Oxford Summer School](https://digital.humanities.ox.ac.uk/digital-humanities-oxford-summer-school). The authors of these materials are Giovanni Colavizza and Matteo Romanello.

## Syllabus 2023

Convenors:
- [Matteo Romanello](https://orcid.org/0000-0002-7406-6286) (University of Lausanne)
- [Nilo Pedrazzini](https://orcid.org/0000-0003-3757-2961) (The Alan Turing Institute/University of Oxford)

| Day.session         | Topic           | Materials  |
| ------------- |-------------| -----:|
| 1.1      | Introduction | [slides](./slides/1.1%20Introduction.pdf) |
| 1.2      | Data carpentry | [slides](./slides/1.2%20Import.pdf) + [notebook](./notebooks/1.2%20Data%20Carpentry%20XML.ipynb) |
| 1.3      | Python refresher | [notebook](./notebooks/1.3%20Skills%20Python.ipynb) |
| 1.4      | The Python data analysis stack, pt. I  | [notebook](./notebooks/1.4%20Skills%20Pandas.ipynb) |
| 2.1      | Tidy data pt. I-II  | [slides](./slides/2.1%20Tidy%20data.pdf) + [notebook](./notebooks/2.1%20Tidy%20data.ipynb) |
| 2.2      | Tidy data pt. III | [notebook](./notebooks/2.2%20Wrangling.ipynb) |
| 2.3      | Data transformation with Pandas | [notebook](./notebooks/2.3%20Skills%2C%20Wrangling%20with%20Pandas.ipynb) |
| 3.1      | Applied data analysis, pt. I: The basics  | [slides](./slides/3.1%20EDA.pdf) + [notebook](./notebooks/3.1%20Exploratory%20data%20analysis%20basics.ipynb) |
| 3.2      | Applied data analysis, pt. II: Advanced  | [notebook](./notebooks/3.2%20Exploratory%20data%20analysis%20and%20working%20with%20texts.ipynb) |
| 4.1      | Applied data analysis, pt. III: Visualization  | [slides](./slides/4.1%20Visualization.pdf) + [notebook](./notebooks/4.1%20Visualize.ipynb) |
| 4.2      | Applied data analysis, pt. IV: Mapping  | [From Melanie Walsh's *ICAP*](https://melaniewalsh.github.io/Intro-Cultural-Analytics/07-Mapping/00-Mapping.html) |
| 5.1      | Social network analysis  | [From Melanie Walsh's *ICAP*](https://melaniewalsh.github.io/Intro-Cultural-Analytics/06-Network-Analysis/00-Network-Analysis.html) |
| 5.2      | Communicating results and epilogue  | [slides](./slides/5.2%20Communication.pdf) |

## Previous editions

- 2022: Giovanni and Matteo Romanello ([archived teaching materials](https://github.com/mromanello/ADA-DHOxSS/releases/tag/v.2.0-2022))
- 2020-2021: hiatus due to global pandemic
- 2019: Giovanni Colavizza and Matteo Romanello ([archived teaching materials](https://github.com/mromanello/ADA-DHOxSS/releases/tag/v.1.0-2019))

## Acknowledgements

Inspiration for ADA was given by the following courses/teachers:

* [ICAP] Melanie Walsh's *Introduction to Cultural Analytics & Python* https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html
* Ryan Cordell's *Humanities Data Analysis* http://s17hda.ryancordell.org/schedule/
* Massimo Franceschet's *Dear Data Science* http://users.dimi.uniud.it/~massimo.franceschet/ds/syllabus/syllabus.html
* Bob West's *Applied Data Analysis (ADA)* https://dlab.epfl.ch/teaching/fall2018/cs401

## References

* Garrett Grolemund and Hadley Wickham, *R for data science*, https://r4ds.had.co.nz/index.html
* Julia Silge and David Robinson, *Text mining with R: A tidy approach*, https://www.tidytextmining.com
* Folgert Karsdorp, Mike Kestemont and Allen Riddell, *Humanities Data Analysis: Case Studies with Python*, https://www.humanitiesdataanalysis.org

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