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
Interactive Data Visualization with Python
Interactive Data Visualization with Python

Interactive Data Visualization with Python: Present your data as an effective and compelling story , Second Edition

Arrow left icon
Profile Icon Abha Belorkar Profile Icon Anshu Kumar Profile Icon Shubhangi Hora Profile Icon Sharath Chandra Guntuku
Arrow right icon
€36.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (3 Ratings)
Paperback Apr 2020 362 pages 2nd Edition
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Abha Belorkar Profile Icon Anshu Kumar Profile Icon Shubhangi Hora Profile Icon Sharath Chandra Guntuku
Arrow right icon
€36.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (3 Ratings)
Paperback Apr 2020 362 pages 2nd Edition
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Colour book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Table of content icon View table of contents Preview book icon Preview Book

Interactive Data Visualization with Python

2. Static Visualization – Global Patterns and Summary Statistics

Learning Objectives

By the end of this chapter, you will be able to:

  • Explain various visualization techniques for different contexts
  • Identify global patterns of one or more features in a dataset
  • Create plots to represent global patterns in data: scatter plots, hexbin plots, contour plots, and heatmaps
  • Create plots that present summary statistics of data: histograms (revisited), box plots, and violin plots

In this chapter, we'll explore different visualization techniques for presenting global patterns and summary statistics of data.

Introduction

In the previous chapter, we learned how to handle pandas DataFrames as inputs for data visualization, how to plot with pandas and seaborn, and how to refine plots to increase their aesthetic appeal. The intent of this chapter is to acquire practical knowledge about the strengths and limitations of various visualization techniques. We'll practice creating plots for a variety of different contexts. However, you will notice that the variety in existing plot types and visualization techniques is huge, and choosing the appropriate visualization becomes confusing. There are times when a plot shows too much information for the reader to grasp or too little for the reader to get the necessary intuition regarding the data. There are times when a visualization is too esoteric for the reader to appreciate properly, and other times when an over-simplistic visualization just doesn't have the right impact. All these scenarios can be avoided by being armed with practical knowledge...

Creating Plots that Present Global Patterns in Data

In this section, we will study the context of plots that present global patterns in data, such as:

  • Plots that show the variance in individual features in data, such as histograms
  • Plots that show how different features present in data vary with respect to each other, such as scatter plots, line plots, and heatmaps

Most data scientists prefer to see such plots because they give an idea of the entire spectrum of values taken by the features of interest. Plots depicting global patterns are also useful because they make it easier to spot anomalies in data.

We will work with a dataset called mpg. It was published by the StatLib library, maintained at Carnegie Mellon University, and is available in the seaborn library. It was originally used to study the relationship of mileage – Miles Per Gallon (MPG) – with other features in the dataset; hence the name mpg. Since the dataset contains 3 discrete features...

Creating Plots That Present Summary Statistics of Your Data

It's now time for a switch to our next section. When datasets are huge, it is sometimes useful to look at the summary statistics of a range of different features and get a preliminary idea of the dataset. For example, the summary statistics for any numerical feature include measures of central tendency, such as the mean, and measures of dispersion, such as the standard deviation.

When a dataset is too small, plots presenting summary statistics may actually be misleading because summary statistics are meaningful only when the dataset is big enough to draw statistical conclusions. For example, if somebody reports the variance of a feature using five data points, we cannot make any concrete conclusions regarding the dispersion of the feature.

Histogram Revisited

Let's revisit histograms from Chapter 1, Introduction to Visualization with Python – Basic and Customized Plotting. Although histograms show...

Summary

In this chapter, we learned how choosing the most appropriate visualization(s) depends on four key elements:

  • The nature of the features in a dataset: categorical/discrete, numerical/continuous numerical
  • The size of the dataset: small/medium/large
  • The density of the data points in the chosen feature space: whether too many or too few data points are set to certain feature values
  • The context of the visualization: the source of the dataset and frequently used visualizations for the given application

For the purpose of explaining the concepts clearly and defining certain general guidelines, we classified visualizations into two categories:

  • Plots representing the global patterns of the chosen features (for example, histograms, scatter plots, hexbin plots, contour plots, line plots,and heatmaps)
  • Plots representing the summary statistics of the specific features (box plots and violin plots)

We are not implying that a single best visualization...

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Study and use Python interactive libraries, such as Bokeh and Plotly
  • Explore different visualization principles and understand when to use which one
  • Create interactive data visualizations with real-world data

Description

With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model. By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.

Who is this book for?

This book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.

What you will learn

  • Explore and apply different interactive data visualization techniques
  • Manipulate plotting parameters and styles to create appealing plots
  • Customize data visualization for different audiences
  • Design data visualizations using interactive libraries
  • Use Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plots
  • Customize data visualization for different scenarios
Estimated delivery fee Deliver to France

Premium delivery 7 - 10 business days

€10.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 14, 2020
Length: 362 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800200944
Category :
Languages :
Tools :

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Colour book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to France

Premium delivery 7 - 10 business days

€10.95
(Includes tracking information)

Product Details

Publication date : Apr 14, 2020
Length: 362 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800200944
Category :
Languages :
Tools :

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 133.97
Interactive Data Visualization with Python
€36.99
The Data Visualization Workshop
€36.99
Hands-On Exploratory Data Analysis with Python
€59.99
Total 133.97 Stars icon
Banner background image

Table of Contents

7 Chapters
1. Introduction to Visualization with Python – Basic and Customized Plotting Chevron down icon Chevron up icon
2. Static Visualization – Global Patterns and Summary Statistics Chevron down icon Chevron up icon
3. From Static to Interactive Visualization Chevron down icon Chevron up icon
4. Interactive Visualization of Data across Strata Chevron down icon Chevron up icon
5. Interactive Visualization of Data across Time Chevron down icon Chevron up icon
6. Interactive Visualization of Geographical Data Chevron down icon Chevron up icon
7. Avoiding Common Pitfalls to Create Interactive Visualizations Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(3 Ratings)
5 star 66.7%
4 star 0%
3 star 33.3%
2 star 0%
1 star 0%
Robert Johnson May 15, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I'm fairly new to Python. I bought this book to learn data visualization techniques with Python. It's well laid out with step by step instructions and explanations. There were a few sections that I couldn't get to work (Bokeh and Altair) but for the most part everything works and is correct. The Bokeh and Altair examples don't work for me but I suspect it's something to do with my setup (versions). I tried the author's downloaded code with the same result in case I had some weird syntax problem that I wasn't able to figure out. The other issue is more a problem with the Kindle version of the book. Depending on where it splits the page, it can make indentations hard to spot. But that's not really the fault of the author. Just something to be aware of.Using the techniques in the book, I was able to take some US COVID data and plot out maps with different visualizations (infections by county, infections per capita by county, time series tracking of growth by county). It was pretty cool to see it match up the professional sites. I did a per capita plot that showed a huge bubble in Tennessee, which I thought might have been a defect in the data. I googled the county and it turned out the data was correct due to a prison located in a sparse county which resulted in 1 in 9 people showing as infected.
Amazon Verified review Amazon
Dr. Bernd M. Feb 25, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Ich mag das Buch, schaue immer wieder rein, wenn ich schnell mal paar Plots mit Seaborn, Bokeh, Plotly oder Altair erstellen möchte. Mich selber hat am Anfang vor allem die klare Beschreibung der Clustermaps von Seaborn beeindruckt, gibt es zwar auch im Internet, aber da wird man meistens von Details regelrecht erschlagen. Ich mag auch das Einführungskapitel zu Pandas, da ich bei der Bearbeitung/Umwandlung von Data-Frames immer wieder irgendwo was nachschlagen muss. Meiner Meinung nach ist es eine wirklich gute Mischung aus Lehrbuch und Nachschlagewerk.
Amazon Verified review Amazon
Yifu Jan 13, 2021
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
This book is only good for complete beginners who have little or no experience in data visualizations with Python. The book covers basic usage of matplotlib, altair, bokeh and plotly but the topics covered are too simple. You could easily get better explanations or examples by searching online.If you have some or intermediate knowledge in data visualization, you could learn much more by just searching for tutorials or example gallery of those packages online.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact [email protected] with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at [email protected] using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on [email protected] within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on [email protected] who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela