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Data Books
Showing 1-50 of 5,039
Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
by (shelved 272 times as data)
avg rating 4.38 — 8,509 ratings — published 2015
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 185 times as data)
avg rating 4.33 — 180,140 ratings — published 2019
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 166 times as data)
avg rating 3.87 — 30,878 ratings — published 2016
Designing Data-Intensive Applications (ebook)
by (shelved 153 times as data)
avg rating 4.69 — 11,070 ratings — published 2015
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
by (shelved 145 times as data)
avg rating 3.97 — 53,013 ratings — published 2012
The Visual Display of Quantitative Information (Hardcover)
by (shelved 142 times as data)
avg rating 4.39 — 8,775 ratings — published 1983
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
by (shelved 137 times as data)
avg rating 3.90 — 43,153 ratings — published 2017
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 132 times as data)
avg rating 4.15 — 5,924 ratings — published 2019
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 130 times as data)
avg rating 3.95 — 15,448 ratings — published 2012
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 107 times as data)
avg rating 4.13 — 2,681 ratings — published 2013
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 89 times as data)
avg rating 4.11 — 8,530 ratings — published 2020
Dataclysm: Who We Are (When We Think No One's Looking)
by (shelved 82 times as data)
avg rating 3.73 — 12,526 ratings — published 2014
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think (Hardcover)
by (shelved 81 times as data)
avg rating 4.35 — 206,031 ratings — published 2018
Python for Data Analysis (Paperback)
by (shelved 78 times as data)
avg rating 4.17 — 2,475 ratings — published 2011
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 78 times as data)
avg rating 4.10 — 8,249 ratings — published 2013
How to Lie with Statistics (Paperback)
by (shelved 76 times as data)
avg rating 3.83 — 18,522 ratings — published 1954
Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback)
by (shelved 72 times as data)
avg rating 4.14 — 1,031 ratings — published 2022
Calling Bullshit: The Art of Skepticism in a Data-Driven World (Hardcover)
by (shelved 65 times as data)
avg rating 4.10 — 5,522 ratings — published 2020
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Paperback)
by (shelved 60 times as data)
avg rating 4.19 — 1,046 ratings — published 1996
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 57 times as data)
avg rating 3.69 — 8,693 ratings — published 2013
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 55 times as data)
avg rating 4.12 — 1,021 ratings — published 2013
How Charts Lie: Getting Smarter about Visual Information (Hardcover)
by (shelved 52 times as data)
avg rating 4.07 — 1,350 ratings — published 2019
Data Points: Visualization That Means Something (Paperback)
by (shelved 47 times as data)
avg rating 3.83 — 534 ratings — published 2013
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 46 times as data)
avg rating 4.08 — 22,925 ratings — published 2015
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 45 times as data)
avg rating 4.59 — 2,361 ratings — published 2013
Data Feminism (Hardcover)
by (shelved 44 times as data)
avg rating 4.29 — 1,585 ratings — published 2020
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 44 times as data)
avg rating 4.43 — 1,911 ratings — published 2001
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning (ebook)
by (shelved 42 times as data)
avg rating 4.17 — 524 ratings — published
Information is Beautiful (Hardcover)
by (shelved 42 times as data)
avg rating 4.12 — 3,564 ratings — published 2001
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios (Paperback)
by (shelved 42 times as data)
avg rating 4.20 — 468 ratings — published
Show Me the Numbers: Designing Tables and Graphs to Enlighten (Hardcover)
by (shelved 42 times as data)
avg rating 3.92 — 4,537 ratings — published 2004
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 41 times as data)
avg rating 4.53 — 1,242 ratings — published 2016
Data Science from Scratch: First Principles with Python (ebook)
by (shelved 40 times as data)
avg rating 3.90 — 1,162 ratings — published 2015
The Functional Art: An introduction to information graphics and visualization (Voices That Matter)
by (shelved 40 times as data)
avg rating 4.20 — 821 ratings — published 2011
Envisioning Information (Hardcover)
by (shelved 39 times as data)
avg rating 4.23 — 7,976 ratings — published 1990
The Model Thinker: What You Need to Know to Make Data Work for You (Hardcover)
by (shelved 38 times as data)
avg rating 3.92 — 971 ratings — published 2018
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 37 times as data)
avg rating 4.55 — 2,864 ratings — published 2017
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 37 times as data)
avg rating 4.12 — 35,878 ratings — published 2016
Truthful Art, The: Data, Charts, and Maps for Communication (Voices That Matter)
by (shelved 37 times as data)
avg rating 4.26 — 424 ratings — published 2016
Information Dashboard Design: The Effective Visual Commmunication of Data (Paperback)
by (shelved 37 times as data)
avg rating 4.01 — 1,806 ratings — published 2010
Moneyball (Paperback)
by (shelved 37 times as data)
avg rating 4.27 — 148,225 ratings — published 2003
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics (Paperback)
by (shelved 36 times as data)
avg rating 3.88 — 1,186 ratings — published 2011
Dear Data (Paperback)
by (shelved 35 times as data)
avg rating 4.24 — 1,187 ratings — published 2016
The Information: A History, a Theory, a Flood (Hardcover)
by (shelved 35 times as data)
avg rating 4.04 — 17,426 ratings — published 2011
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 34 times as data)
avg rating 4.01 — 549 ratings — published
Hello World: Being Human in the Age of Algorithms (Paperback)
by (shelved 33 times as data)
avg rating 4.11 — 12,172 ratings — published 2018
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything (Hardcover)
by (shelved 33 times as data)
avg rating 4.01 — 909,244 ratings — published 2005
Storytelling with Data: Let's Practice! (Paperback)
by (shelved 32 times as data)
avg rating 4.47 — 185 ratings — published
Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (Paperback)
by (shelved 32 times as data)
avg rating 4.21 — 692 ratings — published 2016
The Black Swan: The Impact of the Highly Improbable (Hardcover)
by (shelved 32 times as data)
avg rating 3.96 — 124,450 ratings — published 2007
“Perception requires imagination because the data people encounter in their lives are never complete and always equivocal. For example, most people consider that the greatest evidence of an event one can obtain is to see it with their own eyes, and in a court of law little is held in more esteem than eyewitness testimony. Yet if you asked to display for a court a video of the same quality as the unprocessed data catptured on the retina of a human eye, the judge might wonder what you were tryig to put over. For one thing, the view will have a blind spot where the optic nerve attaches to the retina. Moreover, the only part of our field of vision with good resolution is a narrow area of about 1 degree of visual angle around the retina’s center, an area the width of our thumb as it looks when held at arm’s length. Outside that region, resolution drops off sharply. To compensate, we constantly move our eyes to bring the sharper region to bear on different portions of the scene we wish to observe. And so the pattern of raw data sent to the brain is a shaky, badly pixilated picture with a hole in it. Fortunately the brain processes the data, combining input from both eyes, filling in gaps on the assumption that the visual properties of neighboring locations are similar and interpolating. The result - at least until age, injury, disease, or an excess of mai tais takes its toll - is a happy human being suffering from the compelling illusion that his or her vision is sharp and clear.
We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?”
― The Drunkard's Walk: How Randomness Rules Our Lives
We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?”
― The Drunkard's Walk: How Randomness Rules Our Lives












