cheese
0 Reads
 The Ambassadors
| 3.67 | - | |
 Tender is the Night
| 3.57 | - | |
 The Christmas Guest
| 3.62 | - | |
 All the Beautiful Lies
| 3.78 | - | |
 Winesburg, Ohio
| 3.97 | - | |
 How to Argue With a Racist: History, Science, Race and Reality
| 3.89 | - | |
 God Is Not Great: The Case Against Religion
| 3.87 | - | |
 All the Colors of the Dark
| 4.1 | - | |
 The Data Loom
| 4 | - | |
 All Fours
| 3.89 | - | |
 The Kind Worth Saving
| 3.83 | - | |
 Thinking Clearly with Data Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis
| 0 | - | |
 Kill Your Darlings
| 4 | - | |
 Nine Lives
| 3.46 | - | |
 The Girl with a Clock for a Heart
| 3.07 | - | |
 Rules For Perfect Murders
| 3.67 | - | |
 Data Science: The Hard Parts
| 0 | - | |
 Filterworld: How Algorithms Flattened Culture
| 3.85 | - | |
 Functional Aesthetics for Data Visualization
| 4.5 | - | |
 The Wings of the Dove
| 3.42 | - | |
 Timekeepers
| 3.25 | - | |
 O Regresso de Rachel Price
| 3 | - | |
 A Passage to India
| 3.46 | - | |
 Brief Answers to the Big Questions
| 4.24 | - | |
 1491: New Revelations of the Americas Before Columbus
| 4.2 | - | |
 Henderson the Rain King
| 3.82 | - | |
 Caesar's Last Breath: Decoding the Secrets of the Air Around Us
| 4.25 | - | |
 Naked Statistics: Stripping the Dread from the Data
| 3.64 | - | |
 Before She Knew Him
| 3.74 | - | |
 Appointment in Samarra
| 3.7 | - | |
 Every Vow You Break
| 3.26 | - | |
 As I Lay Dying
| 3.59 | - | |
 How to Measure Anything: Finding the Value of Intangibles in Business
| 3.5 | - | |
 From Concepts to Code
| 0 | - | |
 Studs Lonigan
| 5 | - | |
 Her every fear
| 3.64 | - | |
 The Kind Worth Killing
| 3.83 | - | |
 The Heiress
| 3.8 | - | |
 A Talent for Murder
| 3.83 | - | |
 Melania
| 3.5 | - |
