由於Ubike提供前30分鐘免費的優惠，即使超過，每半小時也只需要支付

由於Ubike提供前30分鐘免費的優惠，即使超過，每半小時也只需要支付10元的費用，而且北部停車點眾多，大部分人在短距離的移動上會選擇租借Ubike，因此時常導致在諸如火車站、旅遊景點等人流量較多的地方會產生車量不足的問題。我們希望透過R程式來進行資料爬蟲，分析各個停車點的借還車高峰時段，並輸出成圖表顯示在手機APP上。使用者不僅可以透過APP查看自己預計借還車的地點，更可以根據情況，選擇提早或是延後借還，避開高峰期，以免發生無車可借、或者沒有車位的情況。若是不使用R程式的話，就必須以Python來製作爬蟲程式，再結合Power BI來繪製分析圖表，其中需要定義並連結不同資料的欄位，再調整輸出模式，相對而言比較麻煩。然而，使用R程式可以直接將收集到的資料寫入資料庫中進行統整與排序，相較起來維護更輕鬆，是更好的選擇。

結果 (英文) 1:

Since the front Ubike offers 30 minutes of free offers, even more than every half hour only need to pay 10 yuan fee, but many northern parking spots, most people on the move short distances will choose to lease Ubike, so every so often leads to such more railway station, tourist attractions and other traffic areas will produce insufficient amounts of car problems.
We want to be crawling through R program data, analysis by the car peak periods of the respective parking spots, and output to a chart displayed on the phone APP. Users can not only see themselves through the APP is expected to take place in the car, but also according to the situation, choose early or delayed-circulation, to avoid the peak period, in order to avoid car-free can borrow, or no parking situation.

If you do not use the R program, then it must be made reptile Python program, combined with Power BI analysis chart to plot, which need to define and connect different data fields, and then adjust the output mode, is relatively trouble. However, the data using the R program can be directly written to be collected Integration and sort the database, compared with up maintenance easier, the better choice.

結果 (英文) 2:

Since Ubike offers free discounts for the first 30 minutes, it only costs $10 per half hour, even if it exceeds, and with so many parking spots in the north, most people choose to rent Ubike on short-distance movements, which often leads to such as train stations, Places with high traffic, such as tourist attractions, will produce the problem of insufficient traffic.
We hope to use the R program to carry out data crawlers, analyze the loan peak hours at each parking point, and output it into a chart to appear on the mobile phone APP. Users can not only through the APP to see their expected loan location, but also according to the situation, choose early or delayed loan repayment, avoid peak period, so as to avoid the situation without a car to borrow, or no parking space.

If you do not use the R program, you must use Python to make a reptile program, and then combined with Power BI to plot the analysis chart, which needs to define and link the fields of different data, and then adjust the output mode, relatively cumbersome. However, using the R program can directly write the collected data to the database for consolidation and sorting, which is easier to maintain and a better choice.

結果 (英文) 3:

Due to the first 30 minutes free discount offered by ubike, even if it is over, it only needs to pay 10 yuan every half an hour, and there are many parking spots in the north, most people will choose to rent ubike on short-distance mobile, which often leads to the problem of insufficient traffic in places with more traffic, such as railway stations, tourist attractions, etc.
We hope to use the R program to perform data crawler, analyze the peak hours of car borrowing and returning at each parking point, and output the graph to display on the mobile app. Users can not only check the expected location of car borrowing and returning through the app, but also choose to borrow or return early or late according to the situation, avoiding the peak period, so as to avoid the situation of no car to borrow or no parking space.
If you don't use r program, you must use Python to make a crawler program, and then use power Bi to draw an analysis chart. You need to define and link the fields of different data, and then adjust the output mode, which is relatively troublesome. However, using R program can directly write the collected data to the database for sorting and consolidation, which is easier to maintain and a better choice.