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Fandango, A., Idris, I., & Navlani, A. (2021). Python data analysis (3rd ed.). Packt Publishing. Read all sections between Data Visualization and Summary.
These sections of reading provide examples of different visualizations used for specific types of analysis and related data.
365 Careers. (2018). Statistics for data science and business analysis. Packt Publishing.
Watch Chapter 3: Inferential Statistics Fundamentals
This video explains what a distribution is and the difference between a normal distribution and a standard normal distribution. In addition, the central limit theorem and standard error are explained.
Mukhiya, S. K., & Ahmed, U. (2020). Hands-on exploratory data analysis with Python. Packt Publishing. Read all sections between Descriptive Statistics and Summary.
These sections describe the distribution function, and how to determine the distribution of data.
Ciaburro, G. (2018). Regression analysis with R: Design and develop statistical nodes to identify unique relationships within data. Packt Publishing. Read all sections between Finding Outliers in Data and Summary.
These sections describe how to detect outliers using Tukey's method and the interquartile range approach. The use of boxplots and scatterplots for the visualization of outliers and the overall data distribution is demonstrated.
