The data set I chose was the Average hours of all employees in the St louis metro area. The creator/contributor to this data set is the Federal Reserve of st louis. This is a bank that is part of the U.S central banking system. The source of their data is the businesses they collect from. They survey businesses and log it here. They use this data to survey and track the economy by seeing if weekly hours are going up or down. They format the data with a bar graph. The data is organized in a time structure using months, years, and hours to measure the employee’s weekly hours.
They structured the data with months and hours worked per week as the main fields. Dates and values are the main fields used. The effect this has is it lets you interchange the dates and values to see specific trends in the times, and this lets employers and just about anybody see the rates clearly.
The Federal Reserve of St Louis made these choices to be able to clearly track the economy and any trends in the work environment.
They chose to use broad indicators instead of personal ones so that they can see wider trends. I think because they used wide sets of data it can account for mostly everyone, but there will definitely be some outliers that are unaccounted for such as smaller businesses where hours are going down. I would use this data to track the workplace’s economy and see if hours are going down or up, and businesses could use this to decide whether to cut hours of employees or not.
Jack Anderson