[CSCI 3665] Interactive Data Visualization

Instructor: Clare Bates Congdon


Measuring the Relative Importance of Different Agricultural Inputs to Global and Regional Crop Yield Growth since 1975

Name: Son D. Ngo, James Boyle and Do Yeun Kim
Date: November, 14th 2016
Assignment: FP2 - Data Specifications

Project Portfolio

Project Description

I. Dataset Summary

For our data, the number of examples are 2913 total (about 29 per 103 countries). There are 21 attributes; of these, 18 are numerical and 3 are categorical. Each row represents a year for a country, given by the "id" field; each country has a unique id based on the UNFAO Country Code. Each row in the following data shows crop yield information for Afghanistan over time. The first row is replicated below in an HTML table.

Within our data, there are a number of different attributes categories:

II. Dataset Sample

A zoom-in look into five rows of the dataset:

id year tropical million kcals / ha ha rice wheat sugar grains oil fruits roots other davg navg pavg irr fert
3 1975 0 4.3548 510000 0.784 31.37 0 32.2486 17.51 2.7446 3.0387 12.3113 24.59 11.84 32.75 0.6488 122.525
3 1976 0 5.2607 548550 0.7292 34.6368 0 28.5298 16.6803 2.698 2.8256 13.9003 22.7469 10.5780 61.0666 0.6199 131.2551
3 1977 0 5.355 559400 0.7151 35.7526 0 27.3507 16.446 2.7887 2.771 14.1759 24.7246 11.6055 43.1682 0.62567 140.6865
3 1978 0 5.4360 559500 0.7149 35.7462 0 27.1671 16.1752 2.9491 2.7703 14.4772 23.8163 10.7064 62.4498 0.6381 178.5523
3 1979 0 5.5114 570700 0.7009 34.5190 0 28.8768 15.5598 2.996 2.716 14.6311 24.5038 11.7412 55.1133 0.6413 171.8942

We plan to work with all of the above attributes in the table.


External Links
To Son's homepage
To James' homepage
To Do's homepage