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Collect the Data

Key Skill: load data into R
File types: CSV, Excel, SQL database, API, etc.
R datasets package

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Students will understand how to get data into R
This will be done by bullet points about the process

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Data Exploration

> Download Exercise

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This is the start of exercise 2 in summarizing available data

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Do This

Open the dataset
Understand the data structure
Calculate summary statistics
Plot the data

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Instructions for the self-paced section with data

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dplyr

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Walk through previous example and add in packages
teach dplyr by making it work with example

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ggplot2

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repeat from above

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lubridate

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repeat from above

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Algorithms

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What is an Algorithm?

Step by step instructions for any task
Inputs = Ingredients
Operation = Baking Instructions
Output = Dessert
Each step in the operation must be clearly defined and work the same with any input

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Example

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Credit: Flickr user Patent and the Pantry. Image used under a Creative Commons BY-NC-ND 2.0 license

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define algorithm as instructions for cake
Lecture with images

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Data Verification

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Start of new section and exercise

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The Analytical Process

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Establish frame for the analytics process to be followed in class
Familiarize students with terminology (esp "data wrangling/data cleaning")
Demystify the process
Empower students to do analysis