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Data Visualization and Communication Project  Topic – Visualization “ Over 100 Years of U.S. Oil Production ”  BRIEF DESCRIPTION OF THE PROJECT:  The data set provides information on the annual production of crude oil in the United States from 1900 to 2020. It includes data on the total amount of crude oil produced in barrels per day, as well as information on the top-producing states and fields. This data set can be used to analyze trends in U.S. oil production over time and to understand the historical context of the country's oil industry. It is often used by researchers, policymakers, and industry professionals in the energy sector.   OBJECTIVES:  1) Development of models and forecasts of future U.S. oil production based on historical data, to inform decision-making related to energy policy, investment, and business strategy.  2) Provide an accurate and comprehensive source of information on U.S. crude oil production over a long period of time, which can be used to iden
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Visualization “Over 100 Years of U.S. Oil Production”

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    BRIEF DESCRIPTION OF THE PROJECT: The data set provides information on the annual production of crude oil in the United States from 1900 to 2020. It includes data on the total amount of crude oil produced in barrels per day, as well as information on the top-producing states and fields. This data set can be used to analyze trends in U.S. oil production over time and to understand the historical context of the country's oil industry. It is often used by researchers, policymakers, and industry professionals in the energy sector. OBJECTIVES: 1)      Development of models and forecasts of future U.S. oil production based on historical data, to inform decision-making related to energy policy, investment, and business strategy. 2)      Provide an accurate and comprehensive source of information on U.S. crude oil production over a long period, which can be used to identify trends and patterns, as well as potential drivers of production. 3)      Support the development of n
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Modelling and forecasting using exponential smoothing technique

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Introduction: The main objective of this project was to implement the various forecasting techniques on the data set provided to us. The forecasting techniques used in the project are ARIMA models, simple exponential smoothing, holt’s method, and holt’s winters. The data provided to me was on the import and export of oil and non-oil products for a period of 26 years, this data was in a monthly format. Loading the required data loading data from the clipboard Investment income <- read.delim('clipboard', header = FALSE) Investment Income          Qtr1  Qtr2 Qtr3 Qtr4 2000  264  146  262   76 2001  164  222   39  173 2002  232   49  168  225 2003   46  183  247   51 2004  193  234   23  191 2005  255   54  150  223 2006   52  188  252   53 2007  195  230   18  176 2008  253   62  186  221 2009   19  178  238   45 2010  194  220   14  175 2011  107   87  206  211 2012   11  184  229   27 2013  198  259   47  197 2014   93   64  192  242 2015   36  210  248   22 2016  208  101  
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