Data Types: Getting Started With Statistics

By Lee Baker

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!

By the time you've read this short book, you'll know as much about data types as a statistician with a PhD!

Yes, really.

I've left nothing out!

 

Data Types makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data.

 

Discover the world of Data Types. Get this book, TODAY!

• Language: English
• Publisher: CSI Publishing
• Release date: Dec 2, 2020
• ISBN: 9781393539810

Book preview

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!