{
  "id": 89766,
  "title": "Plots of the entire data",
  "url": "/competitions/LANL-Earthquake-Prediction/discussion/89766",
  "author_name": "",
  "post_date": "2019-04-17T10:52:12.103525100Z",
  "votes": 23,
  "comment_count": 2,
  "views": 0,
  "content": "<p><strong>Hello everyone,</strong></p>\n\n<p>I managed to plot the <strong>whole</strong> training data (namely <code>acoustic_data</code> and <code>time_to_failure</code> variables) in one plot to help me understand the data better. The following plots are point-by-point plots — <strong>every point</strong> in the data was plotted. The images are big, so you can <strong>click</strong> each image to see more details.</p>\n\n<h2>Complete Training Data</h2>\n\n<p>Here is the two variables, <code>acoustic_data</code> and <code>time_to_failure</code>, plotted together. All data points are used; this means that the plot contains 630,000,000+ points for each variable. The scale of each variable is shown on a different y-axis:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg\" alt=\"\"></a></p>\n\n<h2>A Closer Look</h2>\n\n<p>Here are the first 120,000,000 data points of each variable:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg\" alt=\"\"></a></p>\n\n<h2>Acoustic Data Alone</h2>\n\n<p>Here is a plot of all the data points of <code>acoustic_data</code> variable:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg\" alt=\"\"></a></p>\n\n<h2>Time-to-Failure Alone</h2>\n\n<p>Here is a plot of all the data points of <code>time_to_failure</code> variable:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg\" alt=\"\"></a></p>\n\n<p>👋🏼</p>",
  "messages": [
    {
      "id": "518466",
      "postDate": "04/17/2019 10:52:12",
      "content": "<p><strong>Hello everyone,</strong></p>\n\n<p>I managed to plot the <strong>whole</strong> training data (namely <code>acoustic_data</code> and <code>time_to_failure</code> variables) in one plot to help me understand the data better. The following plots are point-by-point plots — <strong>every point</strong> in the data was plotted. The images are big, so you can <strong>click</strong> each image to see more details.</p>\n\n<h2>Complete Training Data</h2>\n\n<p>Here is the two variables, <code>acoustic_data</code> and <code>time_to_failure</code>, plotted together. All data points are used; this means that the plot contains 630,000,000+ points for each variable. The scale of each variable is shown on a different y-axis:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg\" alt=\"\"></a></p>\n\n<h2>A Closer Look</h2>\n\n<p>Here are the first 120,000,000 data points of each variable:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg\" alt=\"\"></a></p>\n\n<h2>Acoustic Data Alone</h2>\n\n<p>Here is a plot of all the data points of <code>acoustic_data</code> variable:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg\" alt=\"\"></a></p>\n\n<h2>Time-to-Failure Alone</h2>\n\n<p>Here is a plot of all the data points of <code>time_to_failure</code> variable:</p>\n\n<p><a href=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg\"><img src=\"https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg\" alt=\"\"></a></p>\n\n<p>👋🏼</p>",
      "rawMarkdown": "**Hello everyone,**\n\nI managed to plot the **whole** training data (namely `acoustic_data` and `time_to_failure` variables) in one plot to help me understand the data better. The following plots are point-by-point plots — **every point** in the data was plotted. The images are big, so you can **click** each image to see more details.\n\n## Complete Training Data\nHere is the two variables, `acoustic_data` and `time_to_failure`, plotted together. All data points are used; this means that the plot contains 630,000,000+ points for each variable. The scale of each variable is shown on a different y-axis:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg)\n\n## A Closer Look\nHere are the first 120,000,000 data points of each variable:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg)\n\n## Acoustic Data Alone\nHere is a plot of all the data points of `acoustic_data` variable:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg)\n\n## Time-to-Failure Alone\nHere is a plot of all the data points of `time_to_failure` variable:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg)\n\n👋🏼",
      "votes": null
    },
    {
      "id": "518655",
      "postDate": "04/17/2019 15:17:43",
      "content": "<p>Thank you for making these plots</p>",
      "rawMarkdown": "Thank you for making these plots",
      "votes": null
    },
    {
      "id": "518693",
      "postDate": "04/17/2019 16:07:22",
      "content": "<p>You're welcome :)</p>",
      "rawMarkdown": "You're welcome :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 518655,
      "author_name": "halldalton94",
      "author_url": "",
      "post_date": "04/17/2019 15:17:43",
      "content": "<p>Thank you for making these plots</p>",
      "votes": null,
      "replies": [
        {
          "id": 518693,
          "author_name": "ammar111",
          "author_url": "",
          "post_date": "04/17/2019 16:07:22",
          "content": "<p>You're welcome :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "518466": "**Hello everyone,**\n\nI managed to plot the **whole** training data (namely `acoustic_data` and `time_to_failure` variables) in one plot to help me understand the data better. The following plots are point-by-point plots — **every point** in the data was plotted. The images are big, so you can **click** each image to see more details.\n\n## Complete Training Data\nHere is the two variables, `acoustic_data` and `time_to_failure`, plotted together. All data points are used; this means that the plot contains 630,000,000+ points for each variable. The scale of each variable is shown on a different y-axis:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time.jpg)\n\n## A Closer Look\nHere are the first 120,000,000 data points of each variable:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic_time_1.jpg)\n\n## Acoustic Data Alone\nHere is a plot of all the data points of `acoustic_data` variable:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/acoustic.jpg)\n\n## Time-to-Failure Alone\nHere is a plot of all the data points of `time_to_failure` variable:\n\n[![](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg)](https://raw.githubusercontent.com/ammar1y/LANL-Earthquake-Prediction-Competition/master/images/time.jpg)\n\n👋🏼",
    "518655": "Thank you for making these plots",
    "518693": "You're welcome :)"
  },
  "source": "meta"
}