References
- Belorkar A, Cuntuku SC, Hora S, and Kumar A (2020). Interactive Data Visualization with Python, Packt Publishing, Birmingham.
- Jang DH (2020). Applications of R package for statistical engineering, The Korean Journal of Applied Statistics, 33, 87-105. https://doi.org/10.5351/KJAS.2020.33.1.087
- Lazar D (2020). Pandas Equivalent of 10 Useful SQL Queries, Available from: https://towardsdatascience.com/pandas-equivalent-of-10-useful-sql-queries-f79428e60bd9
- Mayo M (2020). Top Python Libraries for Data Science, Data Visualization and Machine Learning, Available from: https://www.kdnuggets.com/2020/11/top-python-libraries-data-science-data- visualization-machine-learninghtml
- McKinney W (2018). Python for Data Analysis(2nd ed.), O'Reilly, Boston.
- Myers RH, MontGomery DC, and Anderson-Cook CM (2016). Response Surface Methodology(4th ed.), John Wiley & Sons, Inc., Hoboken.
- Piepenbreier N (2020). Visualizing COVID-19 Data Beautifully in Python, available from: htps://towardsdatascience.com/ visualizing-covid-19-data-beautifully-in-python-in-5-minutes-or-less-affc361b2c6a
- Python Library Altair, Available from: https://altair-viz.github.io
- Python Library Bokeh, Available from: https://bokeh.org
- Python Library Lifelines, Available from: https://lifelines.readthedocs.io/en/latest/index.html
- Python Library Matplotlib, Available from: https://matplotlib.org
- Python Library NumPy, Available from: https://numpy.org
- Python Library Pandas, Available from: https://pandas.pydata.org
- Python Library plotly, Available from: https://plotly.com/python
- Python Library pyDOE2, Available from: https://pypi.org/project/pyDOE2/
- Python Library pyspc, Available from: https://pypi.org/project/pyspc/
- Python Library Reliability, Available from: https://pypi.org/project/reliability/
- Python Library scikit-learn, Available from: https://scikit-learn.org/stable
- Python Library scipy, Available from: https://www.scipy.org
- Python library seaborn, Available from: https://seaborn.pydata.org
- Python library statsmodels, Available from: https://www.statsmodels.org/stable
- Python package index, Available from: https://pypi.org
- Space shuttle challenger disaster, Available from: https://en.wikipedia.org/wiki/Space Shuttle Challenger disaster