Researchers often share the results of their original research or analysis in peer-reviewed articles. The findings in these articles are verified by other experts in the field.
Peer-reviewed articles are a great source for quantitative data and statistics because researchers visualize data in tables, graphs, or charts or mention them in the body of the text. Pull out data points referenced in the "Results", "Findings", or "Discussion" sections to create your own charts, graphs, or tables. Make sure to cite the source.
Making Numbers Count by
A clear, practical, first-of-its-kind guide to communicating and understanding numbers and data--from bestselling business author Chip Heath. How much bigger is a billion than a million? Well, a million seconds is twelve days. A billion seconds is...thirty-two years. Understanding numbers is essential--but humans aren't built to understand them. Until very recently, most languages had no words for numbers greater than five--anything from six to infinity was known as "lots." While the numbers in our world have gotten increasingly complex, our brains are stuck in the past. How can we translate millions and billions and milliseconds and nanometers into things we can comprehend and use? Author Chip Heath has excelled at teaching others about making ideas stick and here, in Making Numbers Count, he outlines specific principles that reveal how to translate a number into our brain's language. This book is filled with examples of extreme number makeovers, vivid before-and-after examples that take a dry number and present it in a way that people click in and say "Wow, now I get it!" You will learn principles such as: -SIMPLE PERSPECTIVE CUES: researchers at Microsoft found that adding one simple comparison sentence doubled how accurately users estimated statistics like population and area of countries. -VIVIDNESS: get perspective on the size of a nucleus by imagining a bee in a cathedral, or a pea in a racetrack, which are easier to envision than "1/100,000th of the size of an atom." -CONVERT TO A PROCESS: capitalize on our intuitive sense of time (5 gigabytes of music storage turns into "2 months of commutes, without repeating a song"). -EMOTIONAL MEASURING STICKS: frame the number in a way that people already care about ("that medical protocol would save twice as many women as curing breast cancer"). Whether you're interested in global problems like climate change, running a tech firm or a farm, or just explaining how many Cokes you'd have to drink if you burned calories like a hummingbird, this book will help math-lovers and math-haters alike translate the numbers that animate our world--allowing us to bring more data, more naturally, into decisions in our schools, our workplaces, and our society.
Business Research Reporting by
Business Research Reporting addresses the essential activities of locating, collecting, evaluating, analyzing, interpreting, and reporting business data. It highlights the value of primary and secondary research to making business decisions and solving business problems. It aims to help business managers, MBA candidates, and upper-level college students boost their research skills and report research with confidence. This book discusses primary data collection, sampling concepts, and the use of measurement and scales in preparing instruments. Also, this book explores statistical and non-statistical analysis of qualitative and quantitative data and data interpretation (findings, conclusions, and recommendations). The author shows how to locate, evaluate, and extract secondary data found on the web and in brick-and-mortar libraries, including optimized searching, evaluating, and recording. Plus, the book demonstrates how to avoid copyright infringement and plagiarism, use online citation software, and cite sources when writing and presenting. Two glossaries-one each for primary and secondary research-round out the content. Business Research Reporting can be your go-to guidebook for years to come. Reading through it in a couple of hours, you can pick up ample information to apply instantly. Then keep it handy and refer to it in your ongoing research activities.
Data Visualization by
This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. Features: Focusses on concepts and ways of thinking about data rather than algebra or computer code. Features 17 short chapters that can be read in one sitting. Includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data. Contains more than 125 visualizations, most created by the author. Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images. Whether you are a student considering a career in data science, an analyst who wants to learn more about visualization, or the manager of a team working with data, this book will introduce you to a broad range of data visualization methods. Cover image: Landscape of Change uses data about sea level rise, glacier volume decline,increasing global temperatures, and the increasing use of fossil fuels. These data linescompose a landscape shaped by the changing climate, a world in which we are now living.Copyright © Jill Pelto (jillpelto.com).
Basic Principles:
Storytelling with Data by
Don't simply show your data--tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!
Better Data Visualizations by
This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts.
Fundamentals of data visualization by
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing?
Google is a good place to search for data and statistics. Use these strategies to make sure the data are reliable and current.
1. Add terms to your search to pull out data sources such as DATA, POLL, STATISTIC, STUDY, or SURVEY.
2. Government, educational, and nonprofit sources are good examples of reliable sources and often contain statistics and datasets. To search for data from these sources, use the domain search. Simply add SITE:.GOV (government) , SITE:.EDU (educational) , or SITE:.ORG (nonprofit) to your normal Google search. Or add your keywords to the search box below.
3. Find current sources by limiting your results to the last year. On the Google search results page, select Tools and change Anytime to the Past year. This will give you only websites that have been updated in the past year.