{"id":50913045,"url":"https://github.com/joonarafael/ids-exercises","last_synced_at":"2026-06-16T12:01:40.314Z","repository":{"id":313485366,"uuid":"1051512242","full_name":"joonarafael/ids-exercises","owner":"joonarafael","description":"Repository to store the exercise submissions for the Introduction to Data Science course (University of Helsinki).","archived":false,"fork":false,"pushed_at":"2025-10-04T07:37:39.000Z","size":1446,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-10-04T09:21:39.634Z","etag":null,"topics":["course-work","data-science","data-visualization","jupyter-notebook","university-assignment"],"latest_commit_sha":null,"homepage":"https://courses.mooc.fi/org/uh-cs/courses/introduction-to-data-science","language":"Jupyter Notebook","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/joonarafael.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-06T06:28:23.000Z","updated_at":"2025-10-04T07:37:42.000Z","dependencies_parsed_at":"2025-09-06T12:15:09.160Z","dependency_job_id":"1055530b-1a36-4d3a-a3d7-2155c673ff1e","html_url":"https://github.com/joonarafael/ids-exercises","commit_stats":null,"previous_names":["joonarafael/ids-exercises"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/joonarafael/ids-exercises","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joonarafael%2Fids-exercises","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joonarafael%2Fids-exercises/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joonarafael%2Fids-exercises/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joonarafael%2Fids-exercises/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joonarafael","download_url":"https://codeload.github.com/joonarafael/ids-exercises/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joonarafael%2Fids-exercises/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34404748,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-16T02:00:06.860Z","response_time":126,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["course-work","data-science","data-visualization","jupyter-notebook","university-assignment"],"created_at":"2026-06-16T12:01:39.623Z","updated_at":"2026-06-16T12:01:40.306Z","avatar_url":"https://github.com/joonarafael.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Introduction to Data Science - Exercise Submissions\n\nRepository for the exercises of the Introduction to Data Science course at the University of Helsinki.\n\n## Virtual Environment\n\nTo create a virtual environment, run the following command:\n\n```bash\npython3 -m venv venv\n```\n\nTo activate the virtual environment, run the following command:\n\n```bash\nsource venv/bin/activate\n```\n\nInstall the dependencies, run the following command:\n\n```bash\npip install -r requirements.txt\n```\n\nTo launch the Jupyter Notebook, run the following command:\n\n```bash\njupyter notebook\n```\n\nTo deactivate the virtual environment, run the following command:\n\n```bash\ndeactivate\n```\n\n## Data\n\nCreate always a new folder for the data files (use directory name `data`). This way it won't get committed to the repository.\n\n## SQLite Stuff\n\nPull a lightweight SQLite image from Docker Hub:\n\n```bash\ndocker pull nouchka/sqlite3\n```\n\nRun the container with dump (.sqlite file) mounted to the container:\n\n```bash\ndocker run -it --rm \\\n  -v $(pwd)/data:/db \\\n  nouchka/sqlite3 /db/dump.sqlite\n```\n\nAdjust the paths to mount the correct folder on your host machine and the name of the dump file. The example command should be executed under a given week folder, e.g. `week1`. The sqlite file should be placed under the `data` folder and named `dump.sqlite`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoonarafael%2Fids-exercises","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoonarafael%2Fids-exercises","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoonarafael%2Fids-exercises/lists"}