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.nojekyll

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search.json

@@ -130,7 +130,7 @@
     "href": "index.html#data",
     "title": "Revenue Trends in US Natural Resources",
     "section": "Data",
-    "text": "Data\nThe U.S. Natural Resources Revenue (2003-2013) (Badole, 2024) dataset was sourced from Kaggle. These data are a compilation of information collected and managed by the U.S. Department of the Interior’s Office of Natural Resources Revenue in collaboration with the U.S. Geological Survey, Bureau of Ocean Energy Management, U.S. Census Bureau, and Energy Information Administration. The dataset comprises attributes of natural resources in the United States such as federal lands, waters, and indigenous lands and the revenue generated from their extraction.\nData included key variables such as:\n\nCalendar Year - Calendar year when the revenue was recorded (e.g., 2005, 2010, etc.)\nLand Category - Type of land (i.e., onshore or offshore)\n(**Laura will finish this section**)\nDescribe the data and definitions of key variables.\n\n\nData Wrangling & Cleaning (**Laura or Lucas can complete**)\n\nClearly describe data cleaning process (e.g., creating new variables, removing observations, etc.)\n\n\n\nExploratory Data Analysis (**Lucas can complete this section**)\n\nInclude some exploratory data analysis. Focus on the EDA for the response variable and a few other interesting variables and relationships.\n\nIncorporate appropriate visualizations and summary statistics"
+    "text": "Data\nThe U.S. Natural Resources Revenue (2003-2013) (Badole, 2024) dataset was sourced from Kaggle. These data are a compilation of information collected and managed by the U.S. Department of the Interior’s Office of Natural Resources Revenue in collaboration with the U.S. Geological Survey, Bureau of Ocean Energy Management, U.S. Census Bureau, and Energy Information Administration. The dataset comprises attributes of natural resources in the United States such as federal lands, waters, and indigenous lands and the revenue generated from their extraction.\nData included key variables such as:\n\nCalendar Year - Calendar year when the revenue was recorded (e.g., 2005, 2010, etc.)\nLand Category - Type of land (i.e., onshore or offshore)\nState - U.S. state where the natural resource is located\nCommodity - Resource extracted (e.g., oil, gas, coal, or specific minerals)\nRevenue - Revenue generated from specific natural resource in U.S. dollars\n\n\nData Wrangling & Cleaning (**Laura or Lucas can complete**)\n\nClearly describe data cleaning process (e.g., creating new variables, removing observations, etc.)\n\n\n\nExploratory Data Analysis (**Lucas can complete this section**)\n\nInclude some exploratory data analysis. Focus on the EDA for the response variable and a few other interesting variables and relationships.\n\nIncorporate appropriate visualizations and summary statistics"
   },
   {
     "objectID": "index.html#methodology-lucas-andor-maria-can-complete",

sitemap.xml

@@ -18,6 +18,6 @@
   </url>
   <url>
     <loc>https://INFO-511-F24.github.io/final-project-IndecisionScientists/index.html</loc>
-    <lastmod>2024-12-20T01:00:00.380Z</lastmod>
+    <lastmod>2024-12-20T02:58:21.568Z</lastmod>
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