Books

How to Choose the Right Data Visualization

How to Choose the Right Data Visualization is divided into chapters, one for each of the main categories for using data visualization. Each chapter is headed by a short introduction and a list of chart types falling into that category. Each chart type is accompanied by a brief description and one or more icons. Below is a key for decoding these symbols:

BASIC: Chart types with this icon represent typical or standard chart types. When you need to create a data visualization, try to see if one of these chart, types works first, before deciding on an uncommon or advanced type.
UNCOMMON: Chart types with this icon are slightly more unusual than the most common chart types. Use cases for these charts are more specialized than other chart types in that same category or more frequently seen in other roles.
ADVANCED: Chart types with this icon are even more specialized in their roles. Make sure that the chart type is the best one for your use case before implementing it. Sometimes, these chart types will not be built into visualization software or libraries, and additional work will need to be done to put these types of charts together.

How to Choose the Right Data Visualization
How to Choose the Right Data Visualization

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Hypothesis testing A Visual Introduction To Statistical Significance

This book contains examples of different types of hypothesis testing to determine if you have a statistically significant result. It is intended to be direct and to give easy to follow example problems that you can duplicate. In addition to information about what statistical significance is, or what the normal curve is exactly, the book contains a worked example for these types of statistical significance problems

  • Z Test
  • 1 Sample T-Test
  • Paired T-Test ( 2 examples )
  • 2 Sample T-Test with Equal Variance
  • 2 Sample T-Test with Unequal Variance
  • Every example has been worked by hand showing the appropriate equations
  • and also done in Excel using the Excel functions. So every example has 2
  • different ways to solve the problem. Additionally, this book includes a
  • Z Table
  • T Table
  • Along with the functions that you can use to create your own Z-Table or TTable
  • in Excel.

Table of Contents
Statistical Significance Overview
The Most Important Concept In This Book (If you read
nothing else, read this)
Variations Of Statistical Significance Problems
Example 1 – Z Test
But What Is The Normal Curve?
Doing A T-Test, Which Is Slightly Different Than A Z Test
Example 2 – 1 Sample T-Test
Paired T-Test – When You Use The Same Test Subject
Multiple Times
Example 3 – Paired T-Test
Example 3A – Paired T-Test With Non-Zero Hypothesis
Example 4 – Two-Sample T-Test with Equal Variance
Example 5 – 2 Sample T-Test With Unequal Variance
What If You Mix Up Equal Variance With Unequal Variance?
If You Found Errors Or Omissions
More Books
Thank You & Author Information

Download Statistics And Machine Learning In Python

Download Statistics And Machine Learning We will go back to mathematics and study statistics, and how to calculate important numbers based on data sets. We will also learn how to use various Python modules to get the answers we need. And we will learn how to make functions that can predict the outcome based on what we have learned.

Download Statistics And Machine Learning In Python
Download Statistics And Machine Learning In Python

Related post: Python Cheat Sheet 

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