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| | | | Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data,... |
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Practical Data Analysis
Transform, model, and visualize your data through hands-on projects, developed in open source tools
Overview
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Explore how to analyze your data in various innovative ways and turn them into insight
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Learn to use the D3.js visualization tool for exploratory data analysis
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| | Practical Statistics for Data Scientists: 50 Essential Concepts
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their... | | Unsupervised Learning with R
Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data
About This Book
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Unlock and discover how to tackle clusters of raw data through practical examples in R
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Explore your data and create your own models from scratch
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Programming Spiders, Bots, and Aggregators in JavaThe content and services available on the web continue to be accessed mostly through direct human control. But this is changing. Increasingly, users rely on automated agents that save them time and effort by programmatically retrieving content, performing complex interactions, and aggregating data from diverse sources. Programming Spiders,... | | Web Security Testing Cookbook: Systematic Techniques to Find Problems FastAmong the tests you perform on web applications, security testing is perhaps the most important, yet it's often the most neglected. The recipes in the Web Security Testing Cookbook demonstrate how developers and testers can check for the most common web security issues, while conducting unit tests, regression tests, or exploratory tests. Unlike ad... | | Think Stats
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
By working with a single case study throughout this... |
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