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Data Science For Dummies ® , 2nd E
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Data Science For Dummies® To view
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Choosing a Data Graphic Chapter 10:
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Getting to Know Knoema Data Queuing
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costs. I’ve worked hard to make s
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Foreword We live in exciting, even
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Part 1 Getting Started with Data Sc
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Chapter 1 Wrapping Your Head around
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and the well-being of their busines
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quantitative description of the wor
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Alternatives Organizations and thei
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support enhancements, finance and b
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Because the three Vs of big data ar
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FIGURE 2-1: Popular sources of big
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Defining data engineering If engine
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volumes of data in-batch — where
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there yet. Real-time, stream-proces
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estrictive. MPP is quicker and easi
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The company had the following three
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Decrease financial risks. A busines
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Granularity is a measure of a datas
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you. Unless you’re a data technol
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The term multivariate refers to mor
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management. Making business value f
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dashboards and tabular data reports
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Part 2 Using Data Science to Extrac
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Chapter 4 Machine Learning: Learnin
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dataset composed of historical valu
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activation function is a mathematic
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applications have been known to imp
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out a smaller section of the datase
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To understand discrete and continuo
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Ranking variable-pairs using Spearm
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in shared variance — when a varia
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virtually riskless investments (U.S
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Logistic regression Logistic regres
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It is cumbersome to detect outliers
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FIGURE 5-4: A comparison of pattern
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Chapter 6 Using Clustering to Subdi
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FIGURE 6-1: A simple scatter plot.
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Looking at clustering similarity me
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are separated by wide, sparse areas
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FIGURE 6-4: A schematic layout of a
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- Page 129 and 130: Source: Lynda.com, Python for DS FI
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- Page 137 and 138: If you want users to be able to int
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- Page 149 and 150: For all you techies out there, a co
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programmed to do. Classes, on the o
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Sets in Python A set is another dat
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def average(any_list):return(sum(an
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Be sure to import the library into
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SciPy offers functionalities and al
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FIGURE 14-2: Time-series plot of mo
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When you download your free Python
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import numpy as np import matplotli
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square brackets) and then turn thos
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Chapter 15 Using Open Source R for
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mode. Data frames are structured in
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handle that task: You simply define
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"
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information and use a linear regres
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univariate time series forecasts. O
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Therefore, knowing how to make sens
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marketing, and more.
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whether SQL should be pronounced
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Let the following scenario serve as
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Imagine that you have a text field
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into native R or Python data forms
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LISTING 16-3 A Full Outer JOIN SELE
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Chapter 17 Doing Data Science with
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FIGURE 17-1: The full dataset that
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FIGURE 17-3: Spotting outliers in a
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FIGURE 17-5: Excel XY (scatter) plo
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Automating Excel tasks with macros
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Absolute: After you start recording
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at its public workflow server (see
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IN THIS PART … Explore the impact
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Let me emphasize here, at the begin
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What: Getting Directly to the Point
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journalist you walk a fine line bet
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take tremendous value from consumin
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Because the library won’t budge o
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correlation coefficient of 0.86. Th
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Looking back to the World Bank Glob
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Chapter 19 Delving into Environment
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evolution of EI away from standard
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Non-relational database technologie
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in a lack of stable water resources
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and land cover. Through his recent
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concepts and methods you can use to
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narrative, and conversation. Custom
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Webtrends (http://webtrends.com): O
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click heat map data visualizations
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functionality for A/B split testing
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Segment Builder, check out the Goog
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geographic region. After you distin
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temporally relevant but not geo-ref
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FIGURE 21-1: A map product derived
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ehavior and information about prese
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the time). Officer Bob, on said str
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Part 6
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IN THIS PART … Find out all about
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national statistics, election resul
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yet available. Like Data.gov (discu
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Geology Engineering Some examples f
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FIGURE 22-1: The index of insect re
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When you work on collaborative proj
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and tools, you can create results t
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ideas behind web-scraping in Chapte
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Missing data can indicate a formatt
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FIGURE 23-3: A Gephi hairball graph
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Checking out Knoema’s data visual
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FIGURE 23-6: A map of Eurostat data
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Dedication I dedicate this book to
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Publisher’s Acknowledgments Acqui
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