Difference between revisions of "Data Preparations"
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The wind triangle’s three points positions are related to the wind direction and wind speed. The principle is showing below: | The wind triangle’s three points positions are related to the wind direction and wind speed. The principle is showing below: | ||
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So the X and Y are defined as below: | So the X and Y are defined as below: | ||
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*Put X and Y into column and row | *Put X and Y into column and row | ||
Revision as of 21:32, 13 July 2017
ISSS608 Assign Chen Xiaoqing - MC2
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Join Sensor Reading and Meteorological Data
We have two datasets, one is the sensor reading and another one is meteorological data.
The Sensor data (provided in an Excel spreadsheet) contains 3 months of readings in the following format:
The Meteorological data represents 3 months of readings in the following format:
First these two data sets need to be joined into one table by “Data Time” = “Date”. (Tool: JMP_PRO, note that it is full join)
After joining two table together, the table looks like:
Wind Detected Area
- In order to plot the wind detected area, a triangle, which needs three points in one sensor, here create three same datasets.
Create a new column named “Path” in each dataset. Assign 1, 2 and 3 to them for differentiation.
- Concatenate all three tables
Then the rows in whole dataset increase as three times from 79247 to 237741.
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- Import this dataset into Tableau. The data frame looks like:
- Build pre-coordinates using the location of each monitor
The monitor location is showing left below then add the park map as the background as right show:
- Building the coordinate for plotting wind
Wind detected area is a triangle, consisting of three points. The original point is from each sensor, two equal sides are the distance decided by wind speed, the middle angle is self-defined due to the unavailability of this data. The angle here is created as a control parameter, which can be changed manually.
The angle’s range is from 0 to 90. The angle is related to the height of chimney in each factory, which is not available in this dataset, so here I assume it is 30。.
The wind triangle’s three points positions are related to the wind direction and wind speed. The principle is showing below:
So the X and Y are defined as below:
- Put X and Y into column and row
- uncheck the aggregation measure
- filter by hour of the date
- put monitor in the detail
- select the polygon
The wind detected area is like:
