swot analysis 代写：影响穿过城市的自行车数量的自然因素
拼车已经成为减少交通堵塞和排放最重要的工具之一。拼车可以通过拼车和自行车来实现。虽然自行车速度更快，因为它们可以很容易地导航，而且它们通常是节油和经济的单人车手，他们也暴露了骑手的空气元素。另一方面，汽车，尽管价格更高，有一个额外的优势，空调可以有效地保护乘客免受不必要的暴露。有了这种权衡，任何一天路上的自行车数量既取决于经济和拥堵等其他因素，也取决于气候因素。本报告试图从经济学的角度分析影响穿过城市的自行车数量的自然因素。
swot analysis 代写：影响穿过城市的自行车数量的自然因素
分析中考虑的变量包括归一化温度(temp，归一化除以41)、归一化感觉温度(atemp，归一化除以50)、归一化湿度水平(哼，归一化除以100)和归一化风速(风速，归一化除以67)。这些变量是在自行车数量可供共享的日子里测量的。数据采集时间为2011年1月1日至2012年12月31日。需要注意的是，自行车的数量是一个计数变量，而所有其他变量都是连续的。
swot analysis 代写：影响穿过城市的自行车数量的自然因素
Ride sharing has become one of the most important tools towards reducing traffic congestion and emissions. Ride sharing can happen by sharing cars and bikes. While bikes are faster in the sense that they can easily navigate and they are usually fuel efficient and economical for solo riders, they also expose the riders to elements of the atmosphere. Cars, on the other hand, despite being costlier have an added advantage of air conditioners which can effectively shield the passengers from unwanted exposure. With this trade-off, the number of bikes on road on any given day depends as much on climatic factors as on other factors like economic and congestion aspects. This report tries to econometrically analyze the natural factors that influence the number of bikes traversing through the city.
swot analysis 代写：影响穿过城市的自行车数量的自然因素
The variables considered in the analysis include normalized temperature (temp, normalized by dividing with 41), normalized feeling temperature (atemp, normalized by dividing with 50), normalized humidity level (hum, normalized by diving with 100) and normalized wind speed (windspeed, normalized by dividing with 67). These variables were measured for the days for which data on number of bikes hailed for sharing was available. Data was collected from January 1, 2011 to December 31, 2012. It needs to be noted that the number of bikes is a count variable whereas all the other variables are continuous.
