Statistics and Data Visualization Using R
Home > Reference > Research and information: general > Data science and analysis: general > Statistics and Data Visualization Using R: The Art and Practice of Data Analysis
Statistics and Data Visualization Using R: The Art and Practice of Data Analysis

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis

|
     0     
5
4
3
2
1




Out of Stock


Notify me when this book is in stock
About the Book

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.

Table of Contents:
Preface Acknowledgments About the Author Chapter 1: Getting Started Learning Objectives Overview R, RStudio, and R Markdown Objects and Functions Getting Started in RStudio Navigating RStudio With R Markdown Using R Markdown Files Versus R-Scripts A Little Practice Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 2: An Introduction to Data Analysis Learning Objectives Overview Motivating Data Analysis The Main Components of Data Analysis Developing Hypotheses by Describing Data Model Building and Estimation Diagnostics Next Questions Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 3: Describing Data Learning Objectives Overview Data Sets and Variables Different Kinds of Variables Describing Data Saves Time and Effort Measurement Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 4: Central Tendency and Dispersion Learning Objectives Overview Measures of Central Tendency: The Mode, Mean, and Median Mean Versus Median Measures of Dispersion: The Range, Interquartile Range, and Standard Deviation Interquartile Range Versus Standard Deviation Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 5: Univariate and Bivariate Descriptions of Data Learning Objectives Overview The Good, the Bad, and the Outlier Five Views of Univariate Data Are They in a Relationship? Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 6: Transforming Data Learning Objectives Overview Theoretical Reasons for Transforming Data Transforming Data for Practical Reasons Transforming Data—Continuous to Categorical Variables Transforming Data—Changing Categories Box-Cox Transformations Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 7: Some Principles of Displaying Data Learning Objectives Overview Some Elements of Style The Basic Elements of a Story Documentation (Establishing Credibility as a Storyteller) Build an Intuition (Setting the Context) Show Causation (The Journey) From Causation to Action (The Resolution) Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 8: The Essentials of Probability Theory Overview Learning Objectives Populations and Samples Sample Bias and Random Samples The Law of Large Numbers The Central Limit Theorem The Standard Normal Distribution Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 9: Confidence Intervals and Testing Hypotheses Learning Objectives Overview Confidence Intervals With Large Samples Small Samples and the t-Distribution Comparing Two Sample Means Confidence Levels A Brief Note on Statistical Inference and Causation Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 10: Making Comparisons Overview Learning Objectives Why Do We Make Comparisons? Questions That Beg Comparisons Comparing Two Categorical Variables Comparing Continuous and Categorical Variables Comparing Two Continuous Variables Exploratory Data Analysis: Investigating Abortion Rates in the United States Good Analysis Generates Additional Questions Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 11: Controlled Comparisons Learning Objectives Overview What Is a Controlled Comparison? Comparing Two Categorical Variables, Controlling for a Third Comparing Two Continuous Variables, Controlling for a Third Arguments and Controlled Comparisons Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Practice on Analysis and Visualization Chapter 12: Linear Regression Learning Objectives Overview The Advantages of Linear Regression The Slope and Intercept in Linear Regression Goodness of Fit (R2 Statistic) Statistical Significance Examples of Bivariate Regressions Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 13: Multiple Regression Learning Objectives Overview What Is Multiple Regression? Regression Models and Arguments Regression Models, Theory, and Evidence Interpreting Estimates in Multiple Regression Example: Homicide Rate and Education Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Practice on Analysis and Visualization Chapter 14: Dummies and Interactions Learning Objectives Overview What Is a Dummy Variable? Additive Models and Interactive Models Bivariate Dummy Variable Regression Multiple Regression and Dummy Variables Interactions in Multiple Regression Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 15: Diagnostics I: Is Ordinary Least Squares Appropriate? Learning Objectives Overview Diagnostics in Regression Analysis Properties of Statistics and Estimators The Gauss-Markov Assumptions The Residual Plot Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 16: Diagnostics II: Residuals, Leverages, and Measures of Influence Learning Objectives Overview Outliers Leverages Measures of Influence Added Variable Plots Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Chapter 17: Logistic Regression Learning Objectives Overview Questions and Problems That Require Logistic Regression Logistic Regression Violates Gauss-Markov Assumptions Working With Logged Odds Working With Predicted Probabilities Model Fit With Logistic Regression Summary Common Problems Review Questions Practice on Analysis and Visualization Annotated R Functions Answers Appendix: Developing Empirical Implications Overview Developing Empirical Implications Testing Additional Dependent Variables Testing Additional Independent Variables Using Information on Cases Causal Mechanisms The Rabbit Hole Glossary References Index


Best Sellers


Product Details
  • ISBN-13: 9781544333878
  • Publisher: Sage Publications Inc Ebooks
  • Binding: Digital download and online
  • Sub Title: The Art and Practice of Data Analysis
  • ISBN-10: 1544333870
  • Publisher Date: 04 Aug 2021
  • Language: English


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Statistics and Data Visualization Using R: The Art and Practice of Data Analysis
Sage Publications Inc Ebooks -
Statistics and Data Visualization Using R: The Art and Practice of Data Analysis
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!