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

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[[File:Senscordeb.png|400px]]
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<div style="float:center;text-align:left;font-size:12px;"> <u>''Figure 4''</u> </div>
  
 
The Sensor Coordinate table was made by inputting the coordinates in excel and creating one excel file know as sensor coordinates
 
The Sensor Coordinate table was made by inputting the coordinates in excel and creating one excel file know as sensor coordinates
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[[File:Windfan deb.png|600px]]
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<div style="float:center;text-align:left;font-size:12px;"> <u>''Figure 5''</u> </div>
  
 
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.
 
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.
  
  
[[File:Windfan deb.png|600px]]
+
[[File:Windfancode.png|400px]]
<div style="float:center;text-align:left;font-size:12px;"> <u>''Figure 4''</u> </div>
+
<div style="float:center;text-align:left;font-size:12px;"> <u>''Figure 6''</u> </div>
 
 
  
 
After we have prepared the data then we use R to replicate each row 3 times and give a path ID.
 
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
 
The table created was known as wind_rose_data_prep.csv
 
 
[[File:Windfancode.png|400px]]
 
<div style="float:center;text-align:left;font-size:12px;"> <u>''Figure 5''</u> </div>
 

Revision as of 18:55, 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.


Winddirection.png

Figure 2

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

Sensor Data


Sensor deb.png

Figure 3


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


Sensor Coordinate Table


Senscordeb.png

Figure 4

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


Windfan deb.png

Figure 5

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.


Windfancode.png

Figure 6

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