Data on its own is not very useful or informative, unless you apply organization and structure. Once the data is structured, it can then be used to tell a story or provide information that can be used to inform decisions. What information or story is told depends on many factors, but mostly relies on what you want to know.
Use these data sets to perform the following tasks within the spreadsheets:
Social Climbers
- Compare the data to determine where relationships may exist. For example, you may ask if there is a relationship between education and income levels. Perform at least four different data comparisons.
- Provide an explanation based on your comparison results. Where do relationships exist and where do they not exist, according to the data?
Airlines
- The story behind these data comes from a discrimination lawsuit filed, accusing the Airline company of improper hiring processes and employment pay between men and women. Your task is to use these data to determine if the plaintiffs have a valid or strong case, which would then be presented in court to a jury.
- Use basic statistical analysis to compare the data.
In both of these data sets, you may choose to use the tools below or any others you feel are appropriate to tell the story and interpret the data. Not all tests are applicable for all data sets. It depends on the types of data and what you want to know:
- Mean, median, mode
- Quartiles
- Pivot tables
- Regression
- T-tests
- Time series
- Graphs, plots
The response should be compiled in a ppt. It can be either google sheets or canva with atleast 15 graphs illustrating visualization with addition to the pivot tables screenshot. The pivot table should have description which explains the business sense. NOTE: Each of the graph should have short description clearly stating what the graph represents and how it is being calculated. Excel sheets are attached. Require excellent work and deep analytical skill.
