In this book, we are going to learn about data analysis from the perspective of the Haskell
programming language. The goal of this book is to take you from being a beginner in math
and statistics, to the point that you feel comfortable working with large-scale datasets.
Now, the prerequisites for this book are that you know a little bit of the Haskell
programming language, and also a little bit of math and statistics. From there, we can start
you on your journey of becoming a data analyst.
In this chapter, we are going to cover descriptive statistics. Descriptive statistics are used to summarize a collection of values into one or two values. We begin with learning about the Haskell Text.CSV library. In later sections, we will cover in increasing difficulty the range, mean, median, and mode; you've probably heard of some of these descriptive statistics before, as they're quite common. We will be using the IHaskell environment on the Jupyter Notebook system.
The topics that we are going to cover are as follows:
- The CSV library—working with CSV files
- Data ranges
- Data mean and standard deviation
- Data median
- Data mode
