Issue #137
July 4, 2021
This weeks Data Science Book is " Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code " by J. Dougherty, I. Ilyankou. Data visualization, and in particular, storytelling with Data is an often overlooked skill that can help you stand out among your peers. Being able to explain your results, highlight the key points and messages can help you maximize your professional impact. This book is one of the best introductions to Data Visualization and storytelling using a wide range of tools and techniques that are presented through hands-on, step by step, tutorials. The book focuses on generating interactive visualizations that can be embedded within your customer facing website or internal dashboard using a wide range of practical tools.
- 1. Modeloff – Guide to Competing [corporatefinanceinstitute.com]
- 2. My first impressions of web3 [moxie.org]
- 3. Visualizing Bayes Theorem [oscarbonilla.com]
- 4. Schelling's Model of Segregation [nifty.stanford.edu]
- 5. Gambler’s Fallacy and the Regression to the Mean [theness.com]
- 6. Unsupervised brain models [xcorr.net]
- 7. Write like you code [chrisbehan.ca]
- • Disentangling direct from indirect relationships in association networks (N. Xiao, A. Zhou, M. L. Kempher, B. Y. Zhou, Z. J. Shi, M. Yuan, X. Guo, L. Wu, D. Ning, J. V. Nostrand, M. K. Firestone, J. Zhou)
- • Impact of close interpersonal contact on COVID-19 incidence: Evidence from 1 year of mobile device data (F. W. Crawford, S. A. Jones, M. Cartter, S. G. Dean, J. L. Warren, Z. R. Li, J. Barbieri, J. Campbell, P. Kenney, T. Valleau, O. Morozova)
- • A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More (I. Drori, S. Tran, R. Wang, N. Cheng, K. Liu, L. Tang, E. Ke, N. Singh, T. L. Patti, J. Lynch, A. Shporer, N. Verma, E. Wu, G. Strang)
- • Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI (S. Kashani, A. Ivry)
- • Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies (A. Porter, B. Mirzasoleiman, J. Leskovec)
- • Preliminary modeling estimates of the relative transmissibility and immune escape of the Omicron SARS-CoV-2 variant of concern in South Africa (N. Gozzi, M. Chinazzi, J. T. Davis, K. Mu, A. Pastore y Piontti, A. Vespignani, N. Perra)
- • Opinion dynamics in social networks: From models to data (A. F. Peralta, J. Kertész, G. Iñiguez)
Graphs for Data Science with NetworkX
All our videos are also available in our YouTube playlist.
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