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Data Books
Showing 1-50 of 4,764
Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
by (shelved 253 times as data)
avg rating 4.39 — 8,034 ratings — published 2015
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 180 times as data)
avg rating 4.34 — 164,726 ratings — published 2019
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 156 times as data)
avg rating 3.87 — 29,823 ratings — published 2016
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
by (shelved 141 times as data)
avg rating 3.97 — 52,254 ratings — published 2012
Designing Data-Intensive Applications (ebook)
by (shelved 137 times as data)
avg rating 4.70 — 10,372 ratings — published 2015
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
by (shelved 136 times as data)
avg rating 3.91 — 42,415 ratings — published 2017
The Visual Display of Quantitative Information (Hardcover)
by (shelved 132 times as data)
avg rating 4.39 — 8,638 ratings — published 1983
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 122 times as data)
avg rating 4.15 — 5,569 ratings — published 2019
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 118 times as data)
avg rating 3.96 — 15,057 ratings — published 2012
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 100 times as data)
avg rating 4.13 — 2,628 ratings — published 2013
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 87 times as data)
avg rating 4.12 — 8,169 ratings — published 2020
Dataclysm: Who We Are (When We Think No One's Looking)
by (shelved 82 times as data)
avg rating 3.73 — 12,451 ratings — published 2014
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think (Hardcover)
by (shelved 76 times as data)
avg rating 4.36 — 200,369 ratings — published 2018
Python for Data Analysis (Paperback)
by (shelved 74 times as data)
avg rating 4.17 — 2,434 ratings — published 2011
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 74 times as data)
avg rating 4.10 — 8,200 ratings — published 2013
How to Lie with Statistics (Paperback)
by (shelved 74 times as data)
avg rating 3.84 — 17,892 ratings — published 1954
Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback)
by (shelved 64 times as data)
avg rating 4.19 — 868 ratings — published 2022
Calling Bullshit: The Art of Skepticism in a Data-Driven World (Hardcover)
by (shelved 58 times as data)
avg rating 4.11 — 5,221 ratings — published 2020
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 58 times as data)
avg rating 3.69 — 8,669 ratings — published 2013
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Paperback)
by (shelved 54 times as data)
avg rating 4.18 — 1,017 ratings — published 1996
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 51 times as data)
avg rating 4.12 — 1,015 ratings — published 2013
How Charts Lie: Getting Smarter about Visual Information (Hardcover)
by (shelved 50 times as data)
avg rating 4.08 — 1,299 ratings — published 2019
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 45 times as data)
avg rating 4.08 — 22,024 ratings — published 2015
Data Points: Visualization That Means Something (Paperback)
by (shelved 44 times as data)
avg rating 3.82 — 525 ratings — published 2013
Data Feminism (Hardcover)
by (shelved 43 times as data)
avg rating 4.30 — 1,475 ratings — published 2020
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios (Paperback)
by (shelved 43 times as data)
avg rating 4.19 — 457 ratings — published
Data Science from Scratch: First Principles with Python (ebook)
by (shelved 43 times as data)
avg rating 3.91 — 1,139 ratings — published 2015
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 43 times as data)
avg rating 4.59 — 2,321 ratings — published 2013
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 41 times as data)
avg rating 4.43 — 1,879 ratings — published 2001
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 40 times as data)
avg rating 4.54 — 1,210 ratings — published 2016
Show Me the Numbers: Designing Tables and Graphs to Enlighten (Hardcover)
by (shelved 40 times as data)
avg rating 3.92 — 4,531 ratings — published 2004
The Functional Art: An introduction to information graphics and visualization (Voices That Matter)
by (shelved 40 times as data)
avg rating 4.19 — 814 ratings — published 2011
Information is Beautiful (Hardcover)
by (shelved 39 times as data)
avg rating 4.12 — 3,536 ratings — published 2001
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 39 times as data)
avg rating 4.12 — 34,688 ratings — published 2016
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 37 times as data)
avg rating 4.55 — 2,774 ratings — published 2017
Information Dashboard Design: The Effective Visual Communication of Data (Paperback)
by (shelved 37 times as data)
avg rating 4.02 — 1,797 ratings — published 2010
Envisioning Information (Hardcover)
by (shelved 37 times as data)
avg rating 4.23 — 7,937 ratings — published 1990
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning (ebook)
by (shelved 36 times as data)
avg rating 4.21 — 426 ratings — published
The Model Thinker: What You Need to Know to Make Data Work for You (Hardcover)
by (shelved 36 times as data)
avg rating 3.92 — 940 ratings — published 2018
Truthful Art, The: Data, Charts, and Maps for Communication (Voices That Matter)
by (shelved 36 times as data)
avg rating 4.25 — 414 ratings — published 2016
The Information: A History, a Theory, a Flood (Hardcover)
by (shelved 35 times as data)
avg rating 4.04 — 17,023 ratings — published 2011
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 34 times as data)
avg rating 4.02 — 539 ratings — published
Dear Data (Paperback)
by (shelved 34 times as data)
avg rating 4.24 — 1,161 ratings — published 2016
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics (Paperback)
by (shelved 34 times as data)
avg rating 3.88 — 1,187 ratings — published 2011
Hello World: Being Human in the Age of Algorithms (Paperback)
by (shelved 33 times as data)
avg rating 4.11 — 11,701 ratings — published 2018
Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (Paperback)
by (shelved 32 times as data)
avg rating 4.21 — 678 ratings — published 2016
Moneyball (Paperback)
by (shelved 32 times as data)
avg rating 4.27 — 143,532 ratings — published 2003
Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World (Paperback)
by (shelved 31 times as data)
avg rating 4.00 — 3,862 ratings — published 2015
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything (Hardcover)
by (shelved 31 times as data)
avg rating 4.01 — 893,342 ratings — published 2005
Storytelling with Data: Let's Practice! (Paperback)
by (shelved 30 times as data)
avg rating 4.47 — 175 ratings — published
“Androids with Artificial Intelligence have no heart or soul. They will make our perfect masters.”
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“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








