Tabla de Contenidos: “…Front Cover; Contents; Preface; Acknowledgments; Author Biography; Chapter 1: SAS Can Produce High-Quality Figures; Chapter 2: Principles of Producing High-Quality Figures in SAS; Chapter 3: Line Plots; Chapter 4: Scatter and Jittered Scatter Plots; Chapter 5: Line-Up Jittered Scatter Plots; Chapter 6: Thunderstorm or Raindrop Scatter Plots; Chapter 7: Spaghetti Plots; Chapter 8: Bar Charts; Chapter 9: Box Plots; Chapter 10: Forest Plots; Chapter 11: Survival Plots; Chapter 12: Waterfall Plots and Histograms; Chapter 13: Bland-Altman Plots for Agreement Analyses…”

Tabla de Contenidos: “…Bar with annotated marker -- Using PROC GREPLAY for custom dashboard layout -- Paneling multiple graphs on a page -- Using an image as part of the graph -- Customizing a map -- Overlay G3D surfaces -- Adding border space -- Determine customers within map borders -- Determine customers within circular radius -- Custom box plots -- Using company logos in graphs -- Annotated map borders -- Population tree charts -- Sparkline table -- Custom waterfall chart -- Plotting data on floor plans -- Custom calendar chart -- Fancy line graph with broken axis -- Drill-down link to an HTML anchor -- Time series "strip plot" -- GIF animation -- Using SAS/IntrNet with graphs -- Plotting coordinates on a map -- Plotting coverage areas on a map -- Plotting multiple graphs on the same page -- Grand finale : an advanced dashboard -- Now what…”

Tabla de Contenidos: “…Introduction -- Part I: Design Principles -- Chapter 1: Principles of Communication-Effective Graphic Design -- Chapter 2: Principles of Communication-Effective Use of Color -- Part II: Widely Applicable Examples You Can Use -- Chapter 3: Introductions to SAS ODS Graphics -- Chapter 4: Bar Charts, Butterfly Charts, Waterfall Charts, Dot Plots, Needle Plots, Area Bar Charts, Text Graphs, and Line Charts: Charts for Categorical Data -- Chapter 5: Pie Charts and Donut Charts -- Chapter 6: Heat Maps -- Chapter 7: Bubble Plots -- Chapter 8: Time Series Plots and Trend Lines -- Part III: Other Features -- Chapter 9: Graphic Composites with PROC SGPANEL -- Chapter 10: Scatter Plots in Composites Using PROC SGSCATTER -- Chapter 11: Fits and Confidence Plots -- Chapter 12: Distributions, Histograms, Box Plots, and Alternative Tools -- Chapter 13: Creating Composites of Graphs and/or Tables with ODS LAYOUT -- Chapter 14: Delivering Precise Numbers and Alternative Views for Graphs Using SAS ODS HTML5 -- Chapter 15: Delivering Precise Numbers When Using PROC SGMAP -- Appendix A.…”

Tabla de Contenidos: “…Front Cover; Contents; Preface; Acknowledgment; Introduction; Authors; SECTION I - DATA; Chapter 1 - Data, Data Quality, and Descriptive Statistics; Chapter 2 - Truth and Central Tendency; Chapter 3 - Data Dispersion; Chapter 4 - Tukey's Box Plot: Exploratory Analysis; SECTION II - METRICS; Chapter 5 - Deriving Metrics; Chapter 6 - Achieving Excellence in Software Development Using Metrics; Chapter 7 - Maintenance Metrics; Chapter 8 - Software Test Metrics; Chapter 9 - Agile Metrics; SECTION III - LAWS OF PROBABILITY; Chapter 10 - Pattern Extraction Using Histogram…”

Tabla de Contenidos: “…PROCEDURE -- BOX PLOTS PROCEDURE -- BOX PLOTS EXAMPLE -- BOX PLOTS EXERCISE -- MULTI-VARI ANALYSIS -- BACKGROUND -- PROCEDURE EXAMPLE -- EXAMPLE -- EXERCISE -- HYPOTHESIS TESTING INTERVALS -- BACKGROUND -- BACKGROUND CENTRAL LIMIT THEOREM (CLT) -- BACKGROUND -- WHAT IS HYPOTHESIS TESTING? …”

Tabla de Contenidos: “…Summarized Data Distributions -- 6.1 Making a Basic Histogram -- Problem -- Solution -- Discussion -- See Also -- 6.2 Making Multiple Histograms from Grouped Data -- Problem -- Solution -- Discussion -- 6.3 Making a Density Curve -- Problem -- Solution -- Discussion -- See Also -- 6.4 Making Multiple Density Curves from Grouped Data -- Problem -- Solution -- Discussion -- 6.5 Making a Frequency Polygon -- Problem -- Solution -- Discussion -- See Also -- 6.6 Making a Basic Box Plot -- Problem -- Solution -- Discussion -- 6.7 Adding Notches to a Box Plot -- Problem -- Solution -- Discussion -- 6.8 Adding Means to a Box Plot -- Problem -- Solution -- Discussion -- 6.9 Making a Violin Plot -- Problem -- Solution -- Discussion -- See Also -- 6.10 Making a Dot Plot -- Problem -- Solution -- Discussion -- See Also -- 6.11 Making Multiple Dot Plots for Grouped Data -- Problem -- Solution -- Discussion -- 6.12 Making a Density Plot of Two-Dimensional Data -- Problem -- Solution -- Discussion -- See Also -- Chapter 7. …”

Tabla de Contenidos: “…Dot Charts; Basic Dot Chart; Exercise 4-1; Exercise 4-2; Chapter 5. Box Plots; The Box Plot; Nimrod Again; Making the Data Beautiful; Exercise 5-1; Exercise 5-2; Chapter 6. …”

Tabla de Contenidos: “…Linear regression algorithm -- Linear Regression Learner -- Regression Predictor -- Numeric Scorer -- Anticipating preferences with classification -- Decision tree algorithm -- Decision Tree Learner -- Decision Tree Predictor -- Scorer -- Random forest algorithm -- Random Forest Learner -- Random Forest Predictor -- Moving Aggregation -- Line Plot (local) -- Segmenting consumers with clustering -- K-means algorithm -- Numeric Outliers -- Normalizer -- k-Means -- Denormalizer -- Color Manager -- Scatter Matrix (local) -- Conditional Box Plot -- Summary -- Chapter 6: Getting Started with Power BI -- Power BI in a nutshell -- Walking through Power BI -- Loading data -- Transforming data -- Defining the data model -- Building visuals -- Tutorial: Sales Dashboard -- Summary -- Chapter 7: Visualizing Data Effectively -- What is data visualization? …”

Tabla de Contenidos: “…1.6.5 Applications1.6.6 Software; 1.7 Summary; 1.8 Further Reading; 2 DATA VISUALIZATION; 2.1 Overview; 2.2 Visualization Design Principles; 2.2.1 General Principles; 2.2.2 Graphics Design; 2.2.3 Anatomy of a Graph; 2.3 Tables; 2.3.1 Simple Tables; 2.3.2 Summary Tables; 2.3.3 Two-Way Contingency Tables; 2.3.4 Supertables; 2.4 Univariate Data Visualization; 2.4.1 Bar Chart; 2.4.2 Histograms; 2.4.3 Frequency Polygram; 2.4.4 Box Plots; 2.4.5 Dot Plot; 2.4.6 Stem-and-Leaf Plot; 2.4.7 Quantile Plot; 2.4.8 Quantile-Quantile Plot; 2.5 Bivariate Data Visualization; 2.5.1 Scatterplot…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Introduction to Time Series -- Different types of data -- Cross-sectional data -- Time series data -- Panel data -- Internal structures of time series -- General trend -- Seasonality -- Run sequence plot -- Seasonal sub series plot -- Multiple box plots -- Cyclical changes -- Unexpected variations -- Models for time series analysis -- Zero mean models -- Random walk -- Trend models -- Seasonality models -- Autocorrelation and Partial autocorrelation -- Summary -- Chapter 2: Understanding Time Series Data -- Advanced processing and visualization of time series data -- Resampling time series data -- Group wise aggregation -- Moving statistics -- Stationary processes -- Differencing -- First-order differencing -- Second-order differencing -- Seasonal differencing -- Augmented Dickey-Fuller test -- Time series decomposition -- Moving averages -- Moving averages and their smoothing effect -- Seasonal adjustment using moving average -- Weighted moving average -- Time series decomposition using moving averages -- Time series decomposition using statsmodels.tsa -- Summary -- Chapter 3: Exponential Smoothing based Methods -- Introduction to time series smoothing -- First order exponential smoothing -- Second order exponential smoothing -- Modeling higher-order exponential smoothing -- Summary -- Chapter 4: Auto-Regressive Models -- Auto-regressive models -- Moving average models -- Building datasets with ARMA -- ARIMA -- Confidence interval -- Summary -- Chapter 5: Deep Learning for Time Series Forecasting -- Multi-layer perceptrons -- Training MLPs -- MLPs for time series forecasting -- Recurrent neural networks -- Bi-directional recurrent neural networks -- Deep recurrent neural networks…”

Tabla de Contenidos: “…Customizing Reference Lines Using Parameters -- Customizing a Reference Line Using a Parameter -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 5: Charts -- Introduction -- Area Chart -- Bar Chart -- Box Plot -- Bullet Graph -- Heatmap -- Gantt Chart -- Highlight Table -- Histogram Table -- Line Chart -- Packed Bubble Chart -- Pie Chart -- Scatter Plot -- Text Table -- Treemap -- Combination Chart -- Geographic Charts -- Symbol Maps -- Creating a Symbol Map in Tableau -- Density/Heat Maps -- Creating a Density Map in Tableau -- Filled Maps -- Creating a Filled Map in Tableau -- Analytics -- Totals and Subtotals -- Creating Totals and Subtotals -- Reference Lines and Average Lines -- Creating a Constant and Average Reference Line in Tableau -- Reference Bands and Distribution Bands -- Creating a Reference Band and a Distribution Band -- Box Plots -- Creating a Box Plot -- Trend Lines -- Adding a Trend Line to a Chart in Tableau -- Forecasting -- Creating and Customizing a Forecast in Tableau -- Predictive Models -- Creating a Predictive Model in Tableau -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 6: Dashboards -- Introduction -- Dashboard Creation -- Dashboard Objects -- Sheets -- Containers -- Text -- Image -- Blank -- Buttons -- Web Page -- Extensions -- Ask Data -- Data Story -- Workflow -- Creating a Dashboard and Adding a Sheet and a Title -- Adding a Container and Another Sheet to the Dashboard -- Adding Buttons to the Dashboard -- Layout Options -- Dashboard Sizing/Device Layouts -- Floating versus Tiled -- Adding Tiled Objects and Floating Objects to a Dashboard -- Resizing the Default Canvas and Updating the Phone Layout -- Dashboard Interactivity -- Dashboard Actions -- Filter Actions -- Highlight Actions -- URL actions -- Adding Filter Actions to the Dashboard…”

Tabla de Contenidos: “…Object-oriented interface -- Common customizations -- Colors -- Colornames -- Setting axis limits -- Setting ticks and tick labels -- Legend -- Annotations -- Producing grids, horizontal, and vertical lines -- EDA with seaborn and pandas -- Understanding the seaborn library -- Performing exploratory data analysis -- Key objectives when performing data analysis -- Types of variable -- Analyzing variables individually -- Understanding the main variable -- Numerical variables -- Categorical variables -- Relationships between variables -- Scatter plot -- Box plot -- Complex conditional plots -- Summary -- Chapter 5: Statistical Computing with Python -- Introduction to SciPy -- Statistics subpackage -- Confidence intervals -- Probability calculations -- Hypothesis testing -- Performing statistical tests -- Summary -- Chapter 6: Introduction to Predictive Analytics Models -- Predictive analytics and machine learning -- Understanding the scikit-learn library -- scikit-learn -- Building a regression model using scikit-learn -- Regression model to predict house prices -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This All-in-One -- Book 1: Introducing R -- Book 2: Describing Data -- Book 3: Analyzing Data -- Book 4: Learning from Data -- Book 5: Harnessing R: Some Projects to Keep You Busy -- What You Can Safely Skip -- Foolish Assumptions -- Icons Used in This Book -- Beyond This Book -- Where to Go from Here -- 1 Introducing R -- Chapter 1 R: What It Does and How It Does It -- The Statistical (and Related) Ideas You Just Have to Know -- Samples and populations -- Variables: Dependent and independent -- Types of data -- A little probability -- Inferential statistics: Testing hypotheses -- Null and alternative hypotheses -- Two types of error -- Getting R -- Getting RStudio -- A Session with R -- The working directory -- Getting started -- R Functions -- User-Defined Functions -- Comments -- R Structures -- Vectors -- Numerical vectors -- Matrices -- Lists -- Data frames -- for Loops and if Statements -- Chapter 2 Working with Packages, Importing, and Exporting -- Installing Packages -- Examining Data -- Heads and tails -- Missing data -- Subsets -- R Formulas -- More Packages -- Exploring the tidyverse -- Importing and Exporting -- Spreadsheets -- CSV files -- Text files -- 2 Describing Data -- Chapter 1 Getting Graphic -- Finding Patterns -- Graphing a distribution -- Bar-hopping -- Slicing the pie -- The plot of scatter -- Of boxes and whiskers -- Doing the Basics: Base R Graphics, That Is -- Histograms -- Graph features -- Bar plots -- Pie graphs -- Dot charts -- Bar plots revisited -- Scatter plots -- A plot twist -- Scatter plot matrix -- Box plots -- Kicking It Up a Notch to ggplot2 -- Histograms -- Bar plots -- Dot charts -- Bar plots re-revisited -- Scatter plots -- About that plot twist . . . -- Scatter plot matrix -- Box plots -- Putting a Bow On It…”

Tabla de Contenidos: “…-- Computing the norm and determinant -- Solving linear equations -- Computing gradient -- Summary -- Chapter 3: Exploratory Data Analysis of Boston Housing Data with NumPy Statistics -- Loading and saving files -- Exploring our dataset -- Looking at basic statistics -- Computing histograms -- Explaining skewness and kurtosis -- Trimmed statistics -- Box plots -- Computing correlations -- Summary -- Chapter 4: Predicting Housing Prices Using Linear Regression -- Supervised learning and linear regression -- Independent and dependent variables -- Hyperparameters -- Loss and error functions -- Univariate linear regression with gradient descent -- Using linear regression to model housing prices -- Summary -- Chapter 5: Clustering Clients of a Wholesale Distributor Using NumPy -- Unsupervised learning and clustering -- Hyperparameters -- The loss function -- Implementing our algorithm for a single variable -- Modifying our algorithm -- Summary -- Chapter 6: NumPy, SciPy, Pandas, and Scikit-Learn -- NumPy and SciPy -- Linear regression with SciPy and NumPy -- NumPy and pandas -- Quantitative modeling with stock prices using pandas -- SciPy and scikit-learn -- K-means clustering in housing data with scikit-learn -- Summary -- Chapter 7: Advanced Numpy -- NumPy internals -- How does NumPy manage memory?…”

Tabla de Contenidos: “…Showing missing valuesVisualizing distributions; Numeric variables; Box plots; Histograms; Cumulative plots; Categorical variables; Bar plots; Mosaic plots; Correlations among input variables; The Explore Missing and Hierarchical options; Further learning; Summary; Chapter 4: Creating Your First Qlik Sense Application; Customer segmentation and customer buying behavior; Loading data and creating a data model; Preparing the data; Creating a simple data app; Associative logic; Creating charts; Analyzing your data; Further learning; Summary…”

Tabla de Contenidos: “…. -- There is more -- See also -- Drawing simple box plots -- Getting ready -- How to do it... -- How it works... -- Adding notches and jitters to box plots -- Getting ready -- How to do it... -- How it works... -- Drawing bivariate dot plots using ggplot2 -- Getting ready -- How to do it... -- How does it work... -- There is more -- Using more suitable colors for geom_dotplot -- Getting ready -- How to do it... -- How it works... -- Combining box with dot plots -- Getting ready -- How it works... -- How it works... -- See also -- Using point geometry to work as dots using ggvis, plotly and ggplot2 -- Getting ready... -- How it works... -- How it works... -- There is more -- Crafting simple violin plots -- How to do it... -- How it works... -- Using stat_summary to customize violin plots -- Getting ready -- How it works... -- How it works... -- There is more... -- Manually sorting and coloring violins -- Getting ready -- How to do it... -- How it works... -- Using joy package to replace violins -- Getting ready -- How to do it... -- How it works... -- See also -- Creating publication quality violin plots -- Getting Ready -- How to do it... -- How it works... -- See also -- Chapter 4: Plotting One Variable -- Introduction -- Creating a simple histogram using geom_histogram() -- Getting ready -- How to do it... -- How does it work... -- Creating an histogram with custom colors and bins width -- Getting ready -- How to do it... -- How it works... -- Crafting and coloring area plots using geom_area() and more -- Getting ready -- How to do it... -- How it works... -- Drawing density plots using geom_density() -- How to do it... -- How it works…”

Tabla de Contenidos: “…Representaciones gráficasGráfico de Barras; Gráfico de Sectores; Diagramas de Caja (B́ox Plot)́; Gráfico de densidad de puntos (D́ot-Plot)́; Histogramas y Polígonos; Diagrama de Dispersión; Diagrama de dispersión conectado por líneas; Ejercicios; 2 Variables Aleatorias; Introducción; Espacio Muestral - Eventos; Probabilidad; Probabilidad según Kolmogorov; Probabilidad: Concepto Frecuencial; Probabilidad: Concepto Clásico; Evento Aleatorio; Concepto de Variable Aleatoria; Distribución de una Variable Aleatoria; Función de Distribución Acumulada; Función de Densidad…”

Tabla de Contenidos: “…Simple PlotsHistograms; Normal Probability Plots; Stem-and-Leaf Plots; Bar Charts; Pie Charts; Scatter Plots; Scatterplot Matrices; Box Plots; Plotting a Function; Exporting and Saving Plots; Summary; Chapter 9: Customizing Your Plots; Titles and Labels; Axes; Colors; Plotting Symbols; Plotting Lines; Shaded Areas; Adding Items to Plots; Adding Straight Lines; Adding a Mathematical Function Curve; Adding Labels and Text; Adding a Grid; Adding Arrows; Overlaying Plots; Adding a Legend; Multiple Plots in the Plotting Area; Changing the Default Plot Settings; Summary…”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Plotting Curves, Boxes, Points, and more; Introduction; Plotting a function; Plotting multiple curves; Using two different y-axes; Making a scatterplot; Plotting boxes; Plotting circles; Drawing filled curves; Handling financial data; Making a basic histogram plot; Stacking histograms; Plotting multiple histograms; Dealing with errors; Making a statistical whisker plot; Making an impulse plot; Graphing parametric curves; Plotting with polar coordinates…”

Tabla de Contenidos: “…Plotting the data as a probability distributionPlotting a cumulative distribution function; Showing the histogram as a stepped line; Plotting two sets of values in a probability distribution; Creating a customized box plot with whiskers; Creating a basic bar chart for a single column over time; Chapter 4: Performing Data Analysis for Non-Data Analysts; Performing a distribution analysis; Performing categorical variable analysis; Performing a linear regression; Performing a time-series analysis; Performing outlier detection; Creating a predictive model using logistic regression…”