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调试Matlab程序、讲解留学生Data Acquisition, Cleaning, Organizing

Assignment 5 - Data Acquisition, Cleaning, Organizing,
and Exploring
Haviland Wright
February 26, 2018
This is the final project for the TidyVerse section of the course. There are two parts which will be discussed
in class.
Please keep in mind that the purpose of this assignment is for you to exercise, extend, and demonstrate
your ability to use the ideas and tools of the Tidyverse.
Part 1 (50%)
Find NOAA Weather Station 46035 at 57.026 N 177.738 W. This station is buoy you can access through the
NOAA National Data Buoy Center.
Read, Clean, and organiza the data to produce a time series composed of 30 years of daily air and sea
temperature data recorded at noon for the time zone of Station 46035.
Visualize and explore the data. Has the mean temperature changed over the past 30 years? You have taken
only one sample per day. Has your sampling affected your evaluation of mean temperatures?
Part 2 (50%)
The attached file was created using the USDA QuickStats system using the following parameters
• Program: Survey
• Sector: Environmental
• Group: Vegetables
• Commodity: Vegetables Totals, Vegetables Other, Broccoli, Brussels Sprouts, Cauliflower
All other parameters were left open.
The data was collected to gain insight about chemical treatments applied to food crops as fertilizer, insecticides,
etc. Clean, visualize, explore the data. How much can you say about the treatments reported in the data?

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