References used for the Simulation project

Listed here are some resources I used for developing this project.

[1] Programming for Data Analytis Project Instructions.

[2] Website: Python.org https://www.python.org/

[3] Website: Official Seaborn Tutorial https://seaborn.pydata.org/tutorial.html

[4] Website: 10 minutes to pandas https://pandas.pydata.org

[5] Website: Numpy.random https://docs.scipy.org/doc/numpy-1.16.0/reference/routines.random.html

[6] Crump, M. J. C., Navarro, D., & Suzuki, J. (2019, June 5). Answering Questions with Data (Textbook): Introductory Statistics for Psychology Students. https://doi.org/10.17605/OSF.IO/JZE52 Online Textbook: https://crumplab.github.io/statistics/

[7] John F. Helliwell, Haifang Huang and Shun Wang. The Distribution of World Happiness
The Distribution of World Happiness

[8] The World Happiness Report
Website: https://worldhappiness.report
2019 Chapter2 Online Data
2019 Chapter2 Appendix1

[9] Website: www.Kaggle.com

[10] John F. Helliwell, Haifang Huang and Shun Wang Statistical Appendix 1 for Chapter 2 of World Happiness Report 2019

[11] Website: The Balance

[12] Online Lecture: Introduction to Economic Growth Lecture MIT https://economics.mit.edu

[13] Sustainable Development Econometrics Lecture Prof. Sharyn O’Halloran. Lecture 1: Data and Models. http://www.columbia.edu

[14] Eurostat. https://ec.europa.eu/eurostat

[15] Website: www.who.int. www.who.int

[16] Join and Merge Pandas Dataframe https://chrisalbon.com

[17a] Stackoverflow: Pandas: Return only rows with missing values
[17b] Stackoverflow: Generate correlated data

[18] Wikipedia.org: Kernel Density Estimation

[19] Website: pythonprogramming.net -Unsupervised machine learning - flat clustering

[20] Website: Drawing from data - how to rotate axis labels in Seaborn and matplotlib

[21] Website: Machine Learning Mastery
-Statistical Hypothesis Tests in Python
-Normality Tests in Python

[22] Wikipedia: Kolmogorov–Smirnov_test

[23] Machinelearningmastery: A Gentle introduction to the bootstrap method

[24] Website: Official sklearn tutorial

scikit-learn tutorial

[25] Wikipedia: Bootstrapping (statistics)

[26] towardsdatascience: Introduction to the bootstrap resample method

[27] [Website:Investopedia.com] Per Capita GDP

[28] Crump, Matthew J. C. (2017). Programming for Psychologists: Data Creation and Analysis (Version 1.1). https://crumplab.github.io/programmingforpsych/

[29] Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. An Introduction to Statistical Learning. Online pdf corrected 7th edition

Tech used: