Data Science in Theory and Practice. Maria Cristina Mariani
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Library of Congress Cataloging‐in‐Publication Data applied for
ISBN: 9781119674689
Cover Design: Wiley
Cover Image: © nobeastsofierce/Shutterstock
List of Figures
Figure 4.1 Time series data of phase arrival times of an earthquake.
Figure 4.2 Time series data of financial returns corresponding to Bank of America (BAC) stock index.
Figure 4.3 Seasonal trend component.
Figure 4.4 Linear trend component. The horizontal axis is time
, and the vertical axis is the time series . (a) Linear increasing trend. (b) Linear decreasing trend.Figure 4.5 Nonlinear trend component. The horizontal axis is time
and the vertical axis is the time series . (a) Nonlinear increasing trend. (b) Nonlinear decreasing trend.Figure 4.6 Cyclical component (imposed on the underlying trend). The horizontal axis is time
and the vertical axis is the time series .Figure 7.1 The big O notation.
Figure 7.2 The
notation.Figure 7.3 The
notation.Figure 7.4 Symbols used in flowchart.
Figure 7.5 Flowchart to add two numbers entered by user.
Figure 7.6 Flowchart to find all roots of a quadratic equation
.Figure 7.7 Flowchart.
Figure 8.1 The box plot.
Figure 8.2 Box plot example.
Figure 9.1 Scatter plot of temperature versus ice cream sales.
Figure 9.2 Heatmap of handwritten digit data.
Figure 9.3 Map of earthquake magnitudes recorded in Chile.
Figure 9.4 Spatial distribution of earthquake magnitudes (Mariani et al. 2016).
Figure 9.5 Number of text messages sent.
Figure 9.6 Normal Q–Q plot.
Figure 9.7 Risk of loan default. Source: Tableau Viz Gallery.
Figure 9.8 Top five publishing markets. Source: Modified from International Publishers Association – Annual Report.
Figure 9.9 High yield defaulted issuer and volume trends. Source: Based on Fitch High Yield Default Index, Bloomberg.
Figure 9.10 Statistics page for popular movies and cinema locations. Source: Google Charts.
Figure 10.1 One‐step binomial tree for the return process.
Figure 11.1 Height versus weight.
Figure 11.2 Visualizing low‐dimensional data.
Figure 11.3 2D data set.
Figure 11.4 First PCA axis.
Figure 11.5 Second PCA axis.
Figure 11.6 New axis.
Figure 11.7 Scatterplot of Royal Dutch Shell stock versus Exxon Mobil stock.
Figure 12.1 Classification (by quadrant) of earthquakes and explosions using the Chernoff and Kullback–Leibler differences.
Figure 12.2 Classification (by quadrant) of Lehman Brothers collapse and Flash crash event using the Chernoff and Kullback–Leibler differences.
Figure 12.3 Clustering results for the earthquake and explosion series based on symmetric divergence using PAM algorithm.
Figure 12.4 Clustering results for the Lehman Brothers collapse, Flash crash event, Citigroup (2009), and IAG (2011) stock data based on symmetric divergence using the PAM algorithm.
Figure 13.1 Scatter plot of data in Table 13.1
Figure 16.1 The
‐plane and several other horizontal planes. Figure