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Essential Statistics for Non-STEM Data Analysts

You're reading from   Essential Statistics for Non-STEM Data Analysts Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781838984847
Length 392 pages
Edition 1st Edition
Languages
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Author (1):
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Rongpeng Li Rongpeng Li
Author Profile Icon Rongpeng Li
Rongpeng Li
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Getting Started with Statistics for Data Science
2. Chapter 1: Fundamentals of Data Collection, Cleaning, and Preprocessing FREE CHAPTER 3. Chapter 2: Essential Statistics for Data Assessment 4. Chapter 3: Visualization with Statistical Graphs 5. Section 2: Essentials of Statistical Analysis
6. Chapter 4: Sampling and Inferential Statistics 7. Chapter 5: Common Probability Distributions 8. Chapter 6: Parametric Estimation 9. Chapter 7: Statistical Hypothesis Testing 10. Section 3: Statistics for Machine Learning
11. Chapter 8: Statistics for Regression 12. Chapter 9: Statistics for Classification 13. Chapter 10: Statistics for Tree-Based Methods 14. Chapter 11: Statistics for Ensemble Methods 15. Section 4: Appendix
16. Chapter 12: A Collection of Best Practices 17. Chapter 13: Exercises and Projects 18. Other Books You May Enjoy

Real-time weather data

This is a comprehensive project. The knowledge points are mainly from Chapter 1, Fundamentals of Data Collection, Cleaning, and Preprocessing, and Chapter 3, Visualization with Statistical Graphs.

The free weather API provides current weather data for more than 200,000 cities in the world. You can apply for a free trial here: https://openweathermap.org/api. In this example, you will build a visualization of the temperature for major US cities. Refer to the following instructions:

  1. Read the API documentation for the current endpoint: https://openweathermap.org/current. Write some short scripts to test the validity of your API key by querying the current weather in New York. If you don't have one, apply for a free trial.
  2. Write another function that will parse the returned data into tabular format.
  3. Query the current weather in Los Angeles, Chicago, Miami, and Denver as well. You may want to store their zip codes in a dictionary for reference...
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