Statistics Done Wrong

The Woefully Complete Guide

Author: Alex Reinhart

Publisher: No Starch Press

ISBN: 1593276206

Category: Mathematics

Page: 152

View: 5976

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Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes.
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Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python

Author: Stefanie Molin

Publisher: Packt Publishing Ltd

ISBN: 1789612802

Category: Computers

Page: 716

View: 3085

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Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key Features Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains using step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool Book Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling in Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Who this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.
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Research Methods in Library and Information Science, 6th Edition

Author: Lynn Silipigni Connaway,Marie L. Radford

Publisher: ABC-CLIO

ISBN: 1440834792

Category: Language Arts & Disciplines

Page: 478

View: 6846

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An essential resource for LIS master's and doctoral students, new LIS faculty, and academic librarians, this book provides expert guidance and practical examples based on current research about quantitative and qualitative research methods and design. • Now in its sixth edition, the book provides new and updated content that is even more comprehensive than before and contains added sections featuring the voices of prominent LIS scholars, researchers, and editors • "Voices of the Experts" text boxes provide researchers' advice on specific methods and identify what was most important or most valuable about using a particular method and software for analysis—e.g., NVivo, SurveyMonkey, and log capture • Written by coauthors with extensive expertise in research design, securing grant funding, and using the latest technology and data analysis software
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The Book of R

A First Course in Programming and Statistics

Author: Tilman M. Davies

Publisher: No Starch Press

ISBN: 1593277792

Category: Computers

Page: 832

View: 6239

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
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Medical Record

Author: George Frederick Shrady,Thomas Lathrop Stedman

Publisher: N.A

ISBN: N.A

Category: Medicine

Page: N.A

View: 7846

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