├── README.md ├── .gitignore └── ProjectProposal_Group080_WI24.ipynb /README.md: -------------------------------------------------------------------------------- 1 | This is your group repo for your final project for COGS108. 2 | 3 | This repository is private, and is only visible to the course instructors and your group mates; it is not visible to anyone else. 4 | 5 | Template notebooks for each component are provided. Only work on the notebook prior to its due date. After each submission is due, move onto the next notebook (For example, after the proposal is due, start working in the Data Checkpoint notebook). 6 | 7 | This repository will be frozen on the final project due date. No further changes can be made after that time. 8 | 9 | Your project proposal and final project will be graded based solely on the corresponding project notebooks in this repository. 10 | 11 | Template Jupyter notebooks have been included, with your group number replacing the XXX in the following file names. For each due date, make sure you have a notebook present in this repository by each due date with the following name (where XXX is replaced by your group number): 12 | 13 | - `ProjectProposal_groupXXX.ipynb` 14 | - `DataCheckpoint_groupXXX.ipynb` 15 | - `EDACheckpoint_groupXXX.ipynb` 16 | - `FinalProject_groupXXX.ipynb` 17 | 18 | This is *your* repo. You are free to manage the repo as you see fit, edit this README, add data files, add scripts, etc. So long as there are the four files above on due dates with the required information, the rest is up to you all. 19 | 20 | Also, you are free and encouraged to share this project after the course and to add it to your portfolio. Just be sure to fork it to your GitHub at the end of the quarter! 21 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/#use-with-ide 110 | .pdm.toml 111 | 112 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 113 | __pypackages__/ 114 | 115 | # Celery stuff 116 | celerybeat-schedule 117 | celerybeat.pid 118 | 119 | # SageMath parsed files 120 | *.sage.py 121 | 122 | # Environments 123 | .env 124 | .venv 125 | env/ 126 | venv/ 127 | ENV/ 128 | env.bak/ 129 | venv.bak/ 130 | 131 | # Spyder project settings 132 | .spyderproject 133 | .spyproject 134 | 135 | # Rope project settings 136 | .ropeproject 137 | 138 | # mkdocs documentation 139 | /site 140 | 141 | # mypy 142 | .mypy_cache/ 143 | .dmypy.json 144 | dmypy.json 145 | 146 | # Pyre type checker 147 | .pyre/ 148 | 149 | # pytype static type analyzer 150 | .pytype/ 151 | 152 | # Cython debug symbols 153 | cython_debug/ 154 | 155 | # PyCharm 156 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 157 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 158 | # and can be added to the global gitignore or merged into this file. For a more nuclear 159 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 160 | #.idea/ 161 | 162 | -------------------------------------------------------------------------------- /ProjectProposal_Group080_WI24.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": { 6 | "id": "nTjg1WItQo5l" 7 | }, 8 | "source": [ 9 | "# COGS 108 - Project Proposal" 10 | ] 11 | }, 12 | { 13 | "cell_type": "markdown", 14 | "metadata": { 15 | "id": "w9Wa4JQ6Qo5m" 16 | }, 17 | "source": [ 18 | "# Names\n", 19 | "\n", 20 | "- Celeste Walstrom-Vangor\n", 21 | "- Rui Wang\n", 22 | "- Jheel Gandhi\n", 23 | "- Howard Ma\n", 24 | "- Kenny Qiu" 25 | ] 26 | }, 27 | { 28 | "cell_type": "markdown", 29 | "metadata": { 30 | "id": "Z9GChRGmQo5n" 31 | }, 32 | "source": [ 33 | "# Research Question" 34 | ] 35 | }, 36 | { 37 | "cell_type": "markdown", 38 | "metadata": { 39 | "id": "4hwwOlfQQo5n" 40 | }, 41 | "source": [ 42 | "What are the anticipated Letterboxd ratings for any possible movies starring any of your favorite actors, based on the ratings of their previous films?\n", 43 | "\n" 44 | ] 45 | }, 46 | { 47 | "cell_type": "markdown", 48 | "metadata": { 49 | "id": "eXygiuWLQo5n" 50 | }, 51 | "source": [ 52 | "## Background and Prior Work" 53 | ] 54 | }, 55 | { 56 | "cell_type": "markdown", 57 | "metadata": { 58 | "id": "7IgW_FTxQo5o" 59 | }, 60 | "source": [ 61 | "\n", 62 | "By figuring out if there is a correlation between actors' previous movies and their forcasted Letterboxd movie rating, we will be able to determine whether a new movie can be determined as highly rated based only on the actors who are starring in it. There are many factors that go into the ratings of a movie, but it would be highly convinient for most people to be able to determine whether a movie will be good before going to see it. As busy college students, we want to dedicate our time to helping people avoid going to a bad movie before the ratings come out. If we can find a correlation between the ratings of previous movies with actors and the ratings of new movies with those same actors it will save people a lot of time.\n", 63 | "\n", 64 | "Here are some prior work we found online:\n", 65 | "\n", 66 | "1. Vox Analysis on the the actors and actresses who most consistently appear in terrible movies\n", 67 | "\n", 68 | " One previous analysis from Vox was done on the actors who starred in the best and worst rated films based on metacritic. From which they restricted the data set to only include actors that meet the following criteria:\n", 69 | " 1. The actor/actress must have performed in at least 10 films (writing, directing, and producing credits were omitted).\n", 70 | " 2. At least one of these films had to have grossed $30 million or more at the box office, adjusted for inflation.\n", 71 | " 3. At least one of these films had to be within the past five years (we only wanted semi-active performers).\n", 72 | "\n", 73 | " From the blog post analysis of the top 10 worst rated actors, we can see familiar names like Adam Sandler and Jennifer Love Hewitt who are often known for being in worse rated movies. On the other hand, for the top 10 best rated actors, familiar names that are known for having good movies like Leonardo Di Caprio and Jennifer Lawerence make the list.\n", 74 | "\n", 75 | " Something interesting to note is that genres like action and comedy are rated more harshly than genres like documentaries and drama. This is hypothesized to be due to the subjective nature of comedy films.\n", 76 | "\n", 77 | " This analysis does only look at single actors rather than taking into account all the actors in a film, but it does conclude that there’s at least some correlation between an actor and their movie’s rating.\n", 78 | "\n", 79 | "2.\n", 80 | "The Hustle - The actors who are the best (and worst) at their job:\n", 81 | "\n", 82 | " The Hustle did a similar analysis on actors and the critical ratings they get.\n", 83 | " Here are the datasets used by the blog post:\n", 84 | " 1. Average Metacritic scores (a measurement of critical ratings) across all films for 35k+ actors\n", 85 | " 2. Average domestic box office data across all films an actor has played a prominent role in over their career\n", 86 | "\n", 87 | " They chose domestic box office because international films are biased towards franchise films, and the box office dataset is not adjusted for inflation so it favors newer films.\n", 88 | "\n", 89 | " Similar to the first analysis, critics are biased against comedy and love films, with those films getting lower than average ratings.\n", 90 | "\n", 91 | " They also included a beloved actors matrix where they plotted the average box office of an actor (how loved they are by the audience) with the average metacritic score (how loved they are by the critics).\n", 92 | "\n", 93 | " They then did a composite score taking into account both the percentiles of the box office and their metacritic. In this final list, actors like Leonardo DiCaprio and Tom Hanks make the list of the best combination and actors like Bella Thorne and Chad Michael Murray make the list of the worst combination.\n", 94 | "\n", 95 | " This analysis also seems to support the fact that some actors are more likely to have better rated movies, but this study only takes in single actors as well as the first analysis did, so there’s more work to be done on analyzing multiple actors for a single film.\n", 96 | "\n", 97 | " Something to note here is that just because a movie has bad critic ratings does not mean that the audience doesn’t like it, as supported by big box offices for some of the worst rated actors.\n", 98 | "\n", 99 | "\n", 100 | "\n", 101 | "References:\n", 102 | "* https://www.vox.com/2016/4/11/11381206/worst-actors-hollywood\n", 103 | "* https://thehustle.co/the-actors-who-are-the-best-and-worst-at-their-job/\n" 104 | ] 105 | }, 106 | { 107 | "cell_type": "markdown", 108 | "metadata": { 109 | "id": "A6-8zcTFQo5p" 110 | }, 111 | "source": [ 112 | "# Hypothesis\n" 113 | ] 114 | }, 115 | { 116 | "cell_type": "markdown", 117 | "metadata": { 118 | "id": "8B7WXWaPQo5p" 119 | }, 120 | "source": [ 121 | "There exists a positive correlation between the Letterboxd ratings of past movies featuring the top 100 actors and the ratings of their upcoming films. This assumption stems from the idea that actors with a history of highly rated performances are likely to continue appearing in well-received films, contributing to positive Letterboxd reviews." 122 | ] 123 | }, 124 | { 125 | "cell_type": "markdown", 126 | "metadata": { 127 | "id": "GrtpgAW6Qo5q" 128 | }, 129 | "source": [ 130 | "# Data" 131 | ] 132 | }, 133 | { 134 | "cell_type": "markdown", 135 | "metadata": { 136 | "id": "a7U9tN2vQo5q" 137 | }, 138 | "source": [ 139 | " The ideal dataset that we want is one that contains a substantial amount of movies(ideally more than 10k), each being an observation, and variable names like \"title\", \"year\", \"ratings\", \"actor 1\", \"actor 2\", \"actor 3\" ... We would get the dataset from IMDB and Letterboxd and stored in a csv file.\n", 140 | "\n", 141 | " Datasets:\n", 142 | " \n", 143 | " 1. Letterboxd Movie Ratings Data\n", 144 | " https://www.kaggle.com/datasets/samlearner/letterboxd-movie-ratings-data\n", 145 | " \n", 146 | " This dataset from Kaggle contains more than 280k movies' information which will mostly be dumped for our study as most of them either don't have enough review numbers or are too old. But it does contain letterboxd ratings, popularity, and imdb id for each movie which is crucial for us.\n", 147 | " 2. IMDB Movie Ratings Dataset\n", 148 | " https://www.kaggle.com/datasets/thedevastator/imdb-movie-ratings-dataset\n", 149 | "\n", 150 | " This is a smaller dataset that contains around 5k movies' data, but most movies are popular and has a large number of reviews and votes. It also contains released year, actors, genres, and duration variables which are important to this study.\n", 151 | "\n", 152 | " * We will be building our own dataset off of a combination of these two datasets. For example, we will be using movies and informations from the IMDB dataset and combine it with the letterboxd score and popularity from the letterboxd dataset\n" 153 | ] 154 | }, 155 | { 156 | "cell_type": "markdown", 157 | "metadata": { 158 | "id": "10kz17aRQo5q" 159 | }, 160 | "source": [ 161 | "# Ethics & Privacy" 162 | ] 163 | }, 164 | { 165 | "cell_type": "markdown", 166 | "metadata": { 167 | "id": "GRGIh8iLQo5q" 168 | }, 169 | "source": [ 170 | " As a group of students enrolled at UCSD, we all acknowledge that we have aspects of our lives in common that could create biases in our research, and therefore data. We are all members of Gen Z, students, live/lived in San Diego, privileged enough to receive a high education, etc. These aspects of our lives could create an underlying bias that we need to address. Knowing this, we need to ensure that we are accessing data that reaches beyond our generation and using sources that address movies and actors of all ages and backgrounds, basing their popularity on one designated, impartial scale. Additionally, we chose to use Letterboxd for the rating of the movies in our data sets. We know that half of Letterboxd users are under the age of 35, and more than half are between 16 and 24 (https://variety.com/2023/film/news/letterboxd-martin-scorsese-younger-audience-classic-films-1235804153/). We also know that this choice stems from Letterboxd being more popular amongst our generation, and therefore the members of our group. This could therefore mean that the scale we are using to rate movies is based more than half on the younger portion of the population. Although this is true, Letterboxd will have an impartial scale and vast amount of data to access. As a warning, we will provide this context to the audience so they are well informed that the ratings may primarily reflect the views of the younger generations, and may not accurately depict how the elder populations feel about the movies.\n" 171 | ] 172 | }, 173 | { 174 | "cell_type": "markdown", 175 | "metadata": { 176 | "id": "oOYUf_qTQo5q" 177 | }, 178 | "source": [ 179 | "# Team Expectations" 180 | ] 181 | }, 182 | { 183 | "cell_type": "markdown", 184 | "metadata": { 185 | "id": "5DXxFxFJQo5r" 186 | }, 187 | "source": [ 188 | "\n", 189 | "* We decide to meet at least once a week when necessary and previously decided upon\n", 190 | "* We want to ensure that there is a hybrid meeting system available so group members can join from anywhere\n", 191 | "* We want to make sure that deadlines are clearly communicated and that people are gently reminded to meet those deadlines\n", 192 | "* Judgment free zone!\n" 193 | ] 194 | }, 195 | { 196 | "cell_type": "markdown", 197 | "metadata": { 198 | "id": "kPGHsflCQo5r" 199 | }, 200 | "source": [ 201 | "# Project Timeline Proposal" 202 | ] 203 | }, 204 | { 205 | "cell_type": "code", 206 | "source": [ 207 | "from IPython.display import Image\n", 208 | "\n", 209 | "image_path = 'IMG_9071.png'\n", 210 | "\n", 211 | "Image(image_path)" 212 | ], 213 | "metadata": { 214 | "colab": { 215 | "base_uri": "https://localhost:8080/", 216 | "height": 838 217 | }, 218 | "id": "mzRhfsZKl0Eg", 219 | "outputId": "5bb89874-2d67-452a-d620-98c344b164fd" 220 | }, 221 | "execution_count": 2, 222 | "outputs": [ 223 | { 224 | "output_type": "execute_result", 225 | "data": { 226 | "image/png": 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\n", 227 | "text/plain": [ 228 | "" 229 | ] 230 | }, 231 | "metadata": {}, 232 | "execution_count": 2 233 | } 234 | ] 235 | } 236 | ], 237 | "metadata": { 238 | "kernelspec": { 239 | "display_name": "Python 3 (ipykernel)", 240 | "language": "python", 241 | "name": "python3" 242 | }, 243 | "language_info": { 244 | "codemirror_mode": { 245 | "name": "ipython", 246 | "version": 3 247 | }, 248 | "file_extension": ".py", 249 | "mimetype": "text/x-python", 250 | "name": "python", 251 | "nbconvert_exporter": "python", 252 | "pygments_lexer": "ipython3", 253 | "version": "3.9.7" 254 | }, 255 | "colab": { 256 | "provenance": [] 257 | } 258 | }, 259 | "nbformat": 4, 260 | "nbformat_minor": 0 261 | } --------------------------------------------------------------------------------