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Assess the quality of the data it contains and how much preprocessing / data-cleaning it will require before tackling visualization. We recommend using a standard dataset as this course is not about scraping nor data processing.\n\u003e\n\u003e Hint: some good pointers for finding quality publicly available datasets ([Google dataset search](https://datasetsearch.research.google.com/), [Kaggle](https://www.kaggle.com/datasets), [OpenSwissData](https://opendata.swiss/en/), [SNAP](https://snap.stanford.edu/data/) and [FiveThirtyEight](https://data.fivethirtyeight.com/)).\n\n### Problematic\n\n\u003e Frame the general topic of your visualization and the main axis that you want to develop.\n\u003e - What am I trying to show with my visualization?\n\u003e - Think of an overview for the project, your motivation, and the target audience.\n\n### Exploratory Data Analysis\n\n\u003e Pre-processing of the data set you chose\n\u003e - Show some basic statistics and get insights about the data\n\n### Related work\n\n\n\u003e - What others have already done with the data?\n\u003e - Why is your approach original?\n\u003e - What source of inspiration do you take? Visualizations that you found on other websites or magazines (might be unrelated to your data).\n\u003e - In case you are using a dataset that you have already explored in another context (ML or ADA course, semester project...), you are required to share the report of that work to outline the differences with the submission for this class.\n\n## Milestone 2 (17th April, 5pm)\n\n**10% of the final grade**\n\n\n## Milestone 3 (29th May, 5pm)\n\n**80% of the final grade**\n\n\n## Late policy\n\n- \u003c 24h: 80% of the grade for the milestone\n- \u003c 48h: 70% of the grade for the milestone\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcom-480-data-visualization%2Fcom-480-project-template","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcom-480-data-visualization%2Fcom-480-project-template","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcom-480-data-visualization%2Fcom-480-project-template/lists"}