Data Types: Getting Started With Statistics
By Lee Baker
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About this ebook
Master Data Types: Your Essential Guide
Welcome to "Data Types," the essential beginner's handbook in the esteemed "Getting Started With Statistics" series.
Why You Need This Book:
- Foundational Knowledge: Understand the critical building blocks of data analysis.
- Unlock Insights: Learn how to harness different data types for accurate analysis.
- Practical Guidance: Gain confidence in handling data effectively and correctly.
- Enhanced Skills: Master the essential tools for descriptive statistics and visualizations.
- Comprehensive Understanding: Explore the nuances between Ratio, Interval, Ordinal, and Nominal data.
- Step-by-Step Instructions: Clear explanations and practical examples demystify complex concepts.
- Real-world Applications: Learn to apply your knowledge in research and analysis.
- Beginner-Friendly: Accessible language without overwhelming technical jargon.
- Expert Tips: Proven strategies to maximize the potential of your data types.
- Next Steps: Empower yourself to advance confidently in your statistical journey.
"Data Types" isn't just about definitions—it's about empowering you to make informed decisions and drive meaningful insights from your data.
What You'll Learn:
- Quantitative vs. Qualitative Data: Understand the fundamental distinctions.
- The Four Types: Explore Ratio, Interval, Ordinal, and Nominal data in detail.
- Practical Applications: Learn which statistical tests and visualizations are suitable for each type.
- Handling Dummy Variables: Master the creation and analysis of essential variables.
- Hands-On Skills: Practical exercises to reinforce your understanding.
- Comprehensive Coverage: Everything you need to know to handle data confidently.
"Data Types" is your go-to resource for mastering the essentials of data analysis, perfect for beginners and those looking to enhance their statistical skills.
Start your journey into the world of data types today. Secure your copy and transform your approach to data analysis with confidence!
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Data Types - Lee Baker
Preface
Data visualisation is sexy.
So is Artificial Intelligence, Bayesian inference and Time Series analysis.
As data analysts, we all like to do the sexy things, but it’s the boring, more mundane and every day data tasks – like understanding the different types of data – that will make or break your analysis.
Few people that have to do statistics as part of their research know and understand the statistical data types, and as a result struggle to get to grips with what they can and can’t do with their data.
That’s a shame, because if you know the 4 types of data in statistics you know:
How to handle your data correctly
What you can calculate with them
Which descriptive statistics and visualisations are appropriate
Which statistical hypothesis tests you can use
In short, understanding your data types is a roadmap to doing your entire study properly.
They really are that important!
Data Types is a short guide to all the different types of data you’ll encounter in statistics.
It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about the 4 types of data in statistics, answers the most frequently asked questions and inspires you to take the next steps in your journey.
First, I’ll explain what Quantitative and Qualitative data are in simple terms.
Then I’ll break these 2 data classes down into the 4 types of data – Ratio, Interval, Ordinal and Nominal data.
I’ll show you how to handle each of them so you know precisely what you can and can’t do with them.
You’ll learn which types of mathematics you can calculate with each, which descriptive statistics and visualisations you can use, and which statistics you can perform with them.
I’ll even show you how to create and analyse Dummy variables!