Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Getting Started with Haskell Data Analysis
Getting Started with Haskell Data Analysis

Getting Started with Haskell Data Analysis: Put your data analysis techniques to work and generate publication-ready visualizations

Arrow left icon
Profile Icon Church
Arrow right icon
€18.99 per month
Paperback Oct 2018 160 pages 1st Edition
eBook
€10.99 €15.99
Paperback
€19.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Church
Arrow right icon
€18.99 per month
Paperback Oct 2018 160 pages 1st Edition
eBook
€10.99 €15.99
Paperback
€19.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€10.99 €15.99
Paperback
€19.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Getting Started with Haskell Data Analysis

SQLite3

In this chapter, we are going to learn about SQLite3. SQLite3 is a file format for storing data in the same mindset of a relational database such as Oracle, MySQL, MariaDB, and Postgres. Well, I suppose that you could use SQLite3 as a traditional database engine, but it's really not made for that. SQLite3 allows us to open up a file, work with the data in that file using SQL statements, and then close that file. One file can contain one database, and a database can store multiple tables of information. Contrast this with the CSV file format that we used in the last chapter which, at best, stores a single table of information. The advantages of SQLite3 are that it doesn't require any server-side programs running in the background, there are no configurations to discuss, and the executable for working with SQLite3 is a single file. So, in my opinion, working with...

SQLite3 command line

This section is going to be a primer on SQLite3 and it won't have any Haskell code. We're going to take a moment, and translate a CSV file into SQLite3. In this section, we're going to take a look at introducing SQLite3; we will be creating a table in an SQLite3 database, and also adding a CSV file to that table that we created in our SQLite3 database.

So, let's go to our Haskell environment and open our browser. Using Google, search for usgs earthquake feed csv. USG is the United States Geological Survey, and they keep a database of every single earthquake that takes place on planet earth, and they offer this data in a CSV file. So, we're going to click that very first link, https://earthquake.usgs.gov/earthquakes/feed/v1.0/csv.php. You should see Spreadsheet Format at the top; scroll down to the heading where it says Past 7 Days...

Working with SQLite3 and Haskell

In this section, we will talk about getting data from SQLite3 into Haskell. We're going to understand the basic types within SQLite3 and their Haskell counterparts. We're also going to be installing the necessary software in order to get Haskell and SQLite3 to communicate with each other, and we're going to be writing a few SELECT queries within Haskell.

There are a few different data types in SQLite3 with their Haskell counterparts:

The four primary types are INTEGER, REAL, TEXT, and BLOB; TEXT and BLOB are almost the same types. One is for raw data and the other is for string data, but we can interpret both of those in Haskell as String. INTEGER corresponds to Integer; REAL corresponds to Decimal. There is a fifth type in SQLite3 called NUMERIC, which is adaptive and is treated as an integer with INTEGER data and a real with...

Slices of data

This section will be an overview of the versatility of the SELECT query in SQLite3. Most of the content of this section will pertain to the inner workings of the SELECT query, and not the Haskell language itself. We're going to have an understanding of the following SELECT clauses: WHERE, ORDER BY, and LIMIT. Each of these have their own utility, but when these clauses work together you can quickly see how data can be sliced into workable chunks that can be studied later. This is my preferred way of working with data where we let SQL do the slicing and Haskell do the dicing. Once we have a data slice that we're happy with, we'll spend some time at the end looking at how to parse that chunk of data into something usable by Haskell.

Let's go back to our Jupyter Notebook; we will flop over to our primary Earthquakes notebook. We will begin with...

Working with SQLite3 and descriptive statistics

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...

Summary

In this chapter, we installed the sqlite3 command-line utility and installed the necessary SQLite3 libraries for working with data in the IHaskell environment. Most data doesn't come in SQLite3 format, but in CSV format. So, we covered how to convert a CSV file into an SQLite3 table. We explored the versatility of SELECT queries in SQLite3 by means of the WHERE clause, the ORDER BY clause, and the LIMIT clause. We also explored how to create our own custom module of descriptive statistics, and then we used that module in order to study earthquake data in the IHaskell environment. In our next chapter, we're going to take a look at regular expressions in Haskell.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Take your data analysis skills to the next level using the power of Haskell
  • Understand regression analysis, perform multivariate regression, and untangle different cluster varieties
  • Create publication-ready visualizations of data

Description

Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner. This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world. By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis.

Who is this book for?

This book is intended for people who wish to expand their knowledge of statistics and data analysis via real-world examples. A basic understanding of the Haskell language is expected. If you are feeling brave, you can jump right into the functional programming style.

What you will learn

  • Learn to parse a CSV file and read data into the Haskell environment
  • Create Haskell functions for common descriptive statistics functions
  • Create an SQLite3 database using an existing CSV file
  • Learn the versatility of SELECT queries for slicing data into smaller chunks
  • Apply regular expressions in large-scale datasets using both CSV and SQLite3 files
  • Create a Kernel Density Estimator visualization using normal distribution

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2018
Length: 160 pages
Edition : 1st
Language : English
ISBN-13 : 9781789802863
Category :
Languages :
Concepts :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Oct 31, 2018
Length: 160 pages
Edition : 1st
Language : English
ISBN-13 : 9781789802863
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 91.97
Haskell Cookbook
€41.99
Haskell Design Patterns
€29.99
Getting Started with Haskell Data Analysis
€19.99
Total 91.97 Stars icon
Banner background image

Table of Contents

7 Chapters
Descriptive Statistics Chevron down icon Chevron up icon
SQLite3 Chevron down icon Chevron up icon
Regular Expressions Chevron down icon Chevron up icon
Visualizations Chevron down icon Chevron up icon
Kernel Density Estimation Chevron down icon Chevron up icon
Course Review Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.