1
Factfulness: Ten Reasons We...

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4.35 avg rating — 206,709 ratings
"Unpacking the ways in which the world is misunderstood is an important step to helping us teach others how to use data to see fact rather than myth"
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2
Range: Why Generalists Triu...

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4.12 avg rating — 83,747 ratings
"Opting to be a generalist rather than a deep expert can be advantageous, as this book highlights."
Laura rated it 4 stars
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3
Invisible Women: Data Bias ...

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4.33 avg rating — 181,846 ratings
"This book highlights the ways in which data collection can be biased - the topic here is women, but it would work for any other non-majority group. "
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4
The Bestseller Code: Anatom...

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3.81 avg rating — 1,267 ratings
"Analyzing the world of bestsellers with NLP methods to characterize what makes a book good was a fun exploration of an application of data science methods"
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5
The Future of Feeling: Buil...

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3.21 avg rating — 2,274 ratings
"Learning how to understand people and recognizing where our technology may hinder that is an important exercise for building Insight Translation skills"
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6
Thing Explainer: Complicate...

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4.14 avg rating — 12,652 ratings
"Simplifying the language that we use to explain complicated subjects is a task that data experts must undertake in order to give non-experts access to the findings of analyses."
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7
The Immortal Life of Henrie...

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4.13 avg rating — 827,937 ratings
Laura rated it 4 stars
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8
Educated

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4.46 avg rating — 1,970,788 ratings
Laura rated it 4 stars
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9
Rise of the Rocket Girls: T...

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3.87 avg rating — 9,583 ratings
Laura rated it 4 stars
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