1. Discuss the data (time series vs cross-sectional, experimental vs observational) and variable types (quantitative - discrete or continuous, qualitative  nominal or ordinal). 

2. Implement methods of central tendency and deviation on the data. 

3. What can you conclude from the above methods for this data? 

4. Collect a business dataset with the following criteria and comment on the quality of the data. 

5. Provide a brief description of the topic, and the reasons for your dataset selection. 

Dataset criteria: Must be distinct. Must contain at least 500 rows/observations. Must contain at least a total of 6 variables (both continuous and categorical variables.) 

Sources: https://www.kaggle.com/datasetshttps://archive.ics.uci.edu/ml/datasets.phphttps://datasetsearch.research.google.com/https://datahub.io/collections