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Scenario: A cityâs administration isnât driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid. Youâre a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city.
LotCode: A unique code that identifies the parking lot LotCapacity: A number with the respective parking lot capacity LotOccupancy: A number with the current number of cars in the parking lot TimeStamp: A day/time combination indicating the moment when occupancy was measured Day: The day of the week corresponding to the TimeStamp Insert a new column, OccupancyRate, recording occupancy rate as a percentage with one decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%). Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert
Sample Solution
employment, basing on Keynesianism methods (pethoukokis, 2011). Before the 1980s, there was conventional knowledge suggesting stabilization of the real output in Americaâs economy because of the integrated and discretionary stabilization approaches putting in place after 1946, and specifically after 1961, just before the Second World War. This is an example of a vastly held empirical overview concerning the USAâs economy (pethoukokis, 2011). On the other side, this oversimplification that the period after 1945 was firmer that the period before the Great Depression was disputed by Romer (Romer, C.1992). According to him, the business sequence throughout the pre-Great Depression was somehow more harsh than economic uncertainty witnessed after 1945. For C. Romer, a close assessment of unemployment, industrial manufacture and Gross National Product (GNP) data showed that procedures used in conveying these data described systematic preferences in findings. Romer used reliable post-1945 and pre-1945 figures to prove that both booms and slumps were very severe during the time after 1945 (Romer, C.1992). The deduction made by Romer was that there was slight indication to conclude that the US economy before 1929 was more unstable than after 1945. Despite a little failure and volatility of real macroeconomic indicators, and the harshness of slumps between the pre-1916 and post 1945 periods, there is enough indication to assume that slumps reduced and became constant. The influence of the Keynesian stabilization policies included stretching the post-1945 growths and averting extreme economic recessions (Romer,C 1992). It is apparent that the increased impact and spread of Keynesianism can be credited to a conservative opinion that economic stability during the post-war era was quite higher than in the pre-1914 era, which was depicted by the Keynesian revolution in economic strategies. The point is that the rise of Keynesianism is credited to incomparable >
employment, basing on Keynesianism methods (pethoukokis, 2011). Before the 1980s, there was conventional knowledge suggesting stabilization of the real output in Americaâs economy because of the integrated and discretionary stabilization approaches putting in place after 1946, and specifically after 1961, just before the Second World War. This is an example of a vastly held empirical overview concerning the USAâs economy (pethoukokis, 2011). On the other side, this oversimplification that the period after 1945 was firmer that the period before the Great Depression was disputed by Romer (Romer, C.1992). According to him, the business sequence throughout the pre-Great Depression was somehow more harsh than economic uncertainty witnessed after 1945. For C. Romer, a close assessment of unemployment, industrial manufacture and Gross National Product (GNP) data showed that procedures used in conveying these data described systematic preferences in findings. Romer used reliable post-1945 and pre-1945 figures to prove that both booms and slumps were very severe during the time after 1945 (Romer, C.1992). The deduction made by Romer was that there was slight indication to conclude that the US economy before 1929 was more unstable than after 1945. Despite a little failure and volatility of real macroeconomic indicators, and the harshness of slumps between the pre-1916 and post 1945 periods, there is enough indication to assume that slumps reduced and became constant. The influence of the Keynesian stabilization policies included stretching the post-1945 growths and averting extreme economic recessions (Romer,C 1992). It is apparent that the increased impact and spread of Keynesianism can be credited to a conservative opinion that economic stability during the post-war era was quite higher than in the pre-1914 era, which was depicted by the Keynesian revolution in economic strategies. The point is that the rise of Keynesianism is credited to incomparable >
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