Data analysis is the process of manipulating raw data for evaluation purposes with an aim of improving business operations and sharper decision-making. It involves gathering information from various sources, organizing it for storage purposes in an easily accessible place, cleaning it thoroughly before applying statistical techniques to extract insights and create visualizations.
Data analysis relies on the quality of its collected information, making it vital to collect, store, and prepare it accurately. Furthermore, successful analysis requires making sure the collected information is consistent and accurate, with duplicate entries or errors removed through data scrubbing processes.
In this assignment, you will identify an interesting dataset and conduct exploratory analyses to better comprehend its shape and structure. Next, SAS create initial questions and hypotheses using your data as answers before creating captioned visualizations that convey key insights – this report should be completed by noon on Wednesday February 19th if working alone or in groups of no more than two people.