{
  "id": 396426,
  "title": "FOG data visualization",
  "url": "/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/396426",
  "author_name": "Viji",
  "post_date": "2023-03-21T15:35:08.275000",
  "votes": 4,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I have shared a notebook on data visualization using TensorFlow Data Validation (TFDV). The objective is to understand the data before venturing into EDA/model. This type of visualization may be more useful for large datasets as we have in this challenge.</p>\n<p>This notebook also reviews a dataset where all train/fog/tcdsfog folder csv files are combined. These files  have ‘Subject’ and ‘Id’ features so that these can be merged with any supplementary files. </p>\n<p>Dataset: <a href=\"https://www.kaggle.com/datasets/viji1609/freezing-gait-prediction-defogtdcsfog-data\" target=\"_blank\">defog/tdcsfog series data</a></p>\n<p>Notebook:<a href=\"https://www.kaggle.com/code/viji1609/fog-prediction-data-visualization-tfdv\" target=\"_blank\">Data Visualization</a></p>",
  "messages": [
    {
      "id": 2190934,
      "postDate": "2023-03-21T15:35:08.277Z",
      "content": "<p>I have shared a notebook on data visualization using TensorFlow Data Validation (TFDV). The objective is to understand the data before venturing into EDA/model. This type of visualization may be more useful for large datasets as we have in this challenge.</p>\n<p>This notebook also reviews a dataset where all train/fog/tcdsfog folder csv files are combined. These files  have ‘Subject’ and ‘Id’ features so that these can be merged with any supplementary files. </p>\n<p>Dataset: <a href=\"https://www.kaggle.com/datasets/viji1609/freezing-gait-prediction-defogtdcsfog-data\" target=\"_blank\">defog/tdcsfog series data</a></p>\n<p>Notebook:<a href=\"https://www.kaggle.com/code/viji1609/fog-prediction-data-visualization-tfdv\" target=\"_blank\">Data Visualization</a></p>",
      "rawMarkdown": "I have shared a notebook on data visualization using TensorFlow Data Validation (TFDV). The objective is to understand the data before venturing into EDA/model. This type of visualization may be more useful for large datasets as we have in this challenge.\n\nThis notebook also reviews a dataset where all train/fog/tcdsfog folder csv files are combined. These files  have ‘Subject’ and ‘Id’ features so that these can be merged with any supplementary files. \n\nDataset: [defog/tdcsfog series data](https://www.kaggle.com/datasets/viji1609/freezing-gait-prediction-defogtdcsfog-data)\n\nNotebook:[Data Visualization](https://www.kaggle.com/code/viji1609/fog-prediction-data-visualization-tfdv)",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2190934": "I have shared a notebook on data visualization using TensorFlow Data Validation (TFDV). The objective is to understand the data before venturing into EDA/model. This type of visualization may be more useful for large datasets as we have in this challenge.\n\nThis notebook also reviews a dataset where all train/fog/tcdsfog folder csv files are combined. These files  have ‘Subject’ and ‘Id’ features so that these can be merged with any supplementary files. \n\nDataset: [defog/tdcsfog series data](https://www.kaggle.com/datasets/viji1609/freezing-gait-prediction-defogtdcsfog-data)\n\nNotebook:[Data Visualization](https://www.kaggle.com/code/viji1609/fog-prediction-data-visualization-tfdv)"
  }
}