Explain the process you used to perform the exploratory data analysis on the selected dataset. Describe the statistical properties of the dataset, including the five-number summary, mode, median, mean, skewness, kurtosis, range, variance, standard deviation, and frequency. Embed the annotated visualizations created for each part of the analysis. Describe your evaluation of central tendency and variability and other statistical findings for the dataset.

Part 1:
Perform exploratory data analysis on the selected dataset and determine the mode, median, mean, skewness, kurtosis, range, variance, standard deviation, and frequency.
Create appropriate annotated visualizations for each part of the analysis.
Part 2:

Explain the process you used to perform the exploratory data analysis on the selected dataset.
Describe the statistical properties of the dataset, including the five-number summary, mode, median, mean, skewness, kurtosis, range, variance, standard deviation, and frequency.
Embed the annotated visualizations created for each part of the analysis.
Describe your evaluation of central tendency and variability and other statistical findings for the dataset.

Explain insights obtained as a result of this analysis and the subsequent actions that should be taken with the dataset.
Length: 5 to 7-page paper, not including title and reference pages, and screenshots of visualizations provided in Appendix. Attachment – .ipynb file (Jupyter Notebook) or .r file (R) or .rmp file (Rapid Miner Studio)
References: Include a minimum of 2 scholarly references.
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course.