
A place to share, find, and discuss Datasets.
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Science
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1. Data visualization tools: Promote online platforms like Tableau Public or Plotly that can be used to visualize datasets. 2. Data cleaning applications: Suggest tools like OpenRefine which can help in cleaning datasets before analysis. 3. Cloud storage for datasets: Promote services like Google Drive or Dropbox where users can store their datasets. 4. Data analysis software: Recommend platforms like RStudio or Jupyter Notebook for analyzing datasets. 5. Dataset search engines: Promote websites like Kaggle Datasets or UCI Machine Learning Repository which are great for finding datasets.
1. Follow the self - promotion guidelines strictly when sharing links related to your own work or site. 2. Always strive to provide the original source of the dataset. 3. Avoid low - effort requests by being detailed in your dataset requests. 4. Clearly label synthetic or artificial datasets in the title and use the [Synthetic] flair. 5. Mark paid datasets in the title with [PAID].