So far, we've seen how to generate an SQLite3 database using the sqlite3 command-line utility, and how to interact with that database within Haskell. This section combines the knowledge of descriptive statistics from Chapter 1, Descriptive Statistics, with our database work in Chapter 2, SQLite3. We will be using descriptive statistics with our SQLite3 database in this section. First, we will create our descriptive statistics module from functions found in our Baseball notebook. Second, we will slice up some data using SELECT queries. Third, we will pass data to our descriptive statistics functions, and discuss the results. We'll be looking at earthquakes, specifically in the region of Oklahoma. So, let's glide over to our virtual machine running our IHaskell Notebook, and what I would like to do is to discuss how...
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You're reading from Getting Started with Haskell Data Analysis
James Church lives in Clarksville, Tennessee, United States, where he enjoys teaching, programming, and playing board games with his wife, Michelle. He is an assistant professor of computer science at Austin Peay State University. He has consulted for various companies and a chemical laboratory for the purpose of performing data analysis work. James is the author of Learning Haskell Data Analysis.
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James Church lives in Clarksville, Tennessee, United States, where he enjoys teaching, programming, and playing board games with his wife, Michelle. He is an assistant professor of computer science at Austin Peay State University. He has consulted for various companies and a chemical laboratory for the purpose of performing data analysis work. James is the author of Learning Haskell Data Analysis.
Read more about James Church