Global Agricultural Data Analysis

Global Agricultural Data Analysis (25 points)

A neat, professional looking version of your report and excel file is due on Monday, February 3^rd by midnight on eLearning. Late submissions will be penalized 5 points per day late. This is an individual assignment, and each person is expected to do their own work. For this assignment, each student is assigned a specific country and no two people should download the data for the same country (see your assigned country on this google sheet). Please check the rubric on e-Learning before submitting your assignment as you might have missed a required component. You will be graded based on completeness, accuracy, and quality of presentation. If your Turnitin score for your report (not your excel file) exceeds 35%, you will be given a grade of zero. Your lowest-scoring application project will be dropped at the end of the semester.

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Project Summary: You will download data from the Food and Agriculture Organization of the United National (FAO) website and create descriptive statistics for this data using excel.

Technology Requirements: You will need a full-powered version of excel within Office 365 and a full-powered computer with an ability to use applications (i.e. not a cromebook). You will also need to install the data analysis toolpak for this project.

Learning Objectives: Global Agricultural Data Analysis

1. Access and download data from web-based services to create a useable dataset.
2. Clean data to attain usable datasets (cross-sectional, time series, and panel)
3. Identify various components of a dataset and scales of measure of variables.
4. Create and interpret descriptive statistics (numerical and graphical).
5. Differentiate between the mean and median.
6. Create and interpret pivot tables (cross tabulation) for comparisons.
7. Assess the trend of data and effectively generalize time variant data.
8. Describe agriculture in your country using summary statistics.Global Agricultural Data Analysis (25 points)

    

   A neat, professional looking version of your report and excel file is due on Monday, February 3^rd by midnight on eLearning. Late submissions will be penalized 5 points per day late. This is an individual assignment, and each person is expected to do their own work. For this assignment, each student is assigned a specific country and no two people should download the data for the same country (see your assigned country on this google sheet). Please check the rubric on e-Learning before submitting your assignment as you might have missed a required component. You will be graded based on completeness, accuracy, and quality of presentation. If your Turnitin score for your report (not your excel file) exceeds 35%, you will be given a grade of zero. Your lowest-scoring application project will be dropped at the end of the semester.

   Project Summary: You will download data from the Food and Agriculture Organization of the United National (FAO) website and create descriptive statistics for this data using excel. Global Agricultural Data Analysis

   Technology Requirements: You will need a full-powered version of excel within Office 365 and a full-powered computer with an ability to use applications (i.e. not a cromebook). You will also need to install the data analysis toolpak for this project.

   Learning Objectives:

   1. Access and download data from web-based services to create a useable dataset.,
   2. Clean data to attain usable datasets (cross-sectional time series and panel),
   3. Identify various components of a dataset and scales of measure of variables.,
   4. Create and interpret descriptive statistics (numerical and graphical).,
   5. Differentiate between the mean and median.,
   6. Create and interpret pivot tables (cross tabulation) for comparisons.,
   7. Assess the trend of data and effectively generalize time variant data.,
   8. Describe agriculture in your country using summary statistics.