CONTENIDO: GRAPHICS: LOOKING AT DATA
A Single Variable: Shape and Distribution
Two Variables: Establishing Relationships
Time As a Variable: Time-Series Analysis
More Than Two Variables: Graphical Multivariate Analysis
Intermezzo: A Data Analysis Session
ANALYTICS: MODELING DATA
Guesstimation and the Back of the Envelope
Models from Scaling Arguments
Arguments from Probability Models
What You Really Need to Know About Classical Statistics
Intermezzo: Mythbusting¿Bigfoot, Least Squares, and All That
COMPUTATION: MINING DATA
Simulations
Finding Clusters
Seeing the Forest for the Trees: Finding Important Attributes
Intermezzo: When More Is Different
APPLICATIONS: USING DATA
Reporting, Business Intelligence, and Dashboards
Financial Calculations and Modeling
Predictive Analytics
Epilogue: Facts Are Not Reality
Appendix : Programming Environments for Scientific Computation and Data Analysis
Results from Calculus
Working with Data
Index
