README.md

@@ -0,0 +1,61 @@
+# Gender Share in Casting Actors (DataLiteracy-WS2122)
+Team project "Analyzing Gender Share in Casting Actors" as part of the lecture "Data Literacy", Uni-Tübingen.
+
+---
+In the context of gender equality, and inspired by the Bechdel test and a possible impact of the test,
+we aim to examine the gender balance in principal roles in movies by using IMDb data [[1](https://www.imdb.com/interfaces/), [2](https://datasets.imdbws.com/)] on
+movie casting.
+
+## README
+
+### Repository Cloning - (Do not download archive-balls!)
+
+The dataset is provided as large archives (`dat/*.tsv.gz`) that are tracket with *git lfs (large file storage)*. A download of this repository via a tar-ball or zip-ball won't include this archive data.
+
+To download the repository, use either HTTPS or SSH:
+```bash
+git clone https://coreco.samstagskind.de/tobi/Gender-Share-in-Casting-Actors_DL-WS2122_public.git
+```
+```bash
+git clone git@coreco.samstagskind.de:tobi/Gender-Share-in-Casting-Actors_DL-WS2122_public.git
+```
+
+### Preprocessing - (Before Executing the Experiments)
+
+Executing the experiments (`exp/*.ipynb`) requires an extraction and preprocessing of the datasets large archives (`dat/*.tsv.gz`).
+
+To extract and preprocess these files, please open the [Jupyter-Notebook `exp/exp-001_Data-Preprocessing-and-Provisioning.ipynb`](https://coreco.samstagskind.de/tobi/Gender-Share-in-Casting-Actors_DL-WS2122_public/src/branch/master/exp/exp-001_Data-Preprocessing-and-Provisioning.ipynb) and execute all cells of this Data-Preprocessing-and-Provisioning ipython document once. You may use the button that's revealed by executing this documents first code cell.
+
+## PROJECT REPORT in pdf format
+[`doc/projectsubmission2022/projectsubmission.pdf`](https://coreco.samstagskind.de/tobi/Gender-Share-in-Casting-Actors_DL-WS2122_public/src/branch/master/doc/projectsubmission2022/projectsubmission.pdf)
+
+## REPOSITORY STRUCTURE
+
+```
+├── dat                           // (data-set)
+│   ├── title.basics.tsv.gz
+│   ├── title.principals.tsv.gz
+│   └── title.ratings.tsv.gz
+├── doc                           // (reports)
+│   ├── projectregistration2022
+│   │   ├── neurips_2021.sty
+│   │   ├── neurips_2021.tex
+│   │   └── projectregistration.tex
+│   └── projectsubmission2022
+│       ├── bibliography.bib
+│       ├── fig-001_Share-in-principal-cast-of-actresses-in-all-movies-1980-2020.png
+│       ├── neurips_2021.sty
+│       ├── neurips_2021.tex
+│       ├── projectsubmission.pdf
+│       └── projectsubmission.tex
+└── exp                           // (experiments)
+    ├── exp-001_Data-Preprocessing-and-Provisioning.ipynb
+    ├── exp-002_Share-in-principal-cast-of-actresses-in-all-movies-1980-2020.ipynb
+    ├── exp-003_T-Test-Hypothesis-Testing.ipynb
+    ├── exp-004_Beta-Binomial-Hypothesis-Testing.ipynb
+    └── exp-005_Relationship-Rating-and-Share-Actresses-on-principal-cast.ipynb
+
+```
+
+
+