於sidebar新增Visualization功能，包含多種繪圖功能以及動態新增資料欄位 #21
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成功： 1.使用者選擇field1,sensor1,starttime,endtime,interval後，可以產生對應的plotly圖表 下一階段： 提供plot method給使用者，line,(bar),scatter,(linear regression),heatmap,parallel_coordinates,box 待完成： 1.新增一個欄位為"numbers of sensors"，產生對應數量的fiend跟sensor，並呈現在圖表上。 2.新增其他資料分析功能
新增plot.html的連線
在sidebar新增"plot"的選項
完成： 新增下拉式選單plot method給使用者，line,bar,scatter,heatmap,box,(parallel_coordinates) 待完成： 1.新增一個欄位為"numbers of sensors"，產生對應數量的fiend跟sensor，並呈現在圖表上。 2.新增其他資料分析功能
完成： 新增"Add Field and Sensor"按鈕，動態產生對應數量的fiend跟sensor欄位，並呈現在圖表上。
rename "Plot" to "Visualization"
app.py用來動態新增欄位，其中的return render_template('plot_number_of_datas.html', fields=json.dumps(fields))，需更改成plot.html
簡化繪圖程式碼
新增plotly繪圖function
發現vue還是跟以前的一樣，修改成可以動態產生欄位的vue
跟plot.html不同的地方在於，plot.html的繪圖直接在前端執行，而plot_use_api.html則是呼叫後端(api.py)裡的plotly function進行繪圖，方便模組化
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目前提供的圖表功能:
1.折線圖
2.散佈圖
3.盒鬚圖
4.長條圖
5.熱力圖