Difference between revisions of "ISSS608 2016-17 T3 Assign DEBASISH BEHERA DataPrep"

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<div style="float:center;text-align:left;font-size:12px;"> <u>''Figure 2''</u> </div>
 
<div style="float:center;text-align:left;font-size:12px;"> <u>''Figure 2''</u> </div>
  

Revision as of 18:50, 15 July 2017

Vacomm logo.jpg VAST Challenge: Mini Challenge 2

Introduction

Data Preparation

Insight & Conclusion

Submission and Comments

 


Meteorological Data


The meteorological data was checked for any missing values.


Meteor deb.png

Figure 1


We found here that there are two missing values for the wind direction. These missing values were removed for our subsequent analysis.

The meteorological table was added with two columns that described the wind direction and the wind speed using formulas in excel.


Winddirection.png

Figure 2


Sensor Data


Sensor deb.png

Figure 3


There are no missing values that can be observed for the sensor data.


Sensor Coordinate Table


The Sensor Coordinate table was made by inputting the coordinates in excel and creating one excel file know as sensor coordinates


Preparing the Data for Wind Fan


For preparing the data for constructing the wind fan, the data set known as Meteorological_Data_windrose.csv was created by using the table meteorological data, sensor data and the sensor coordinates.


Windfan deb.png

Figure 4


After we have prepared the data then we use R to replicate each row 3 times and give a path ID. The table created was known as wind_rose_data_prep.csv


Windfancode.png

Figure 5