Difference between revisions of "ISSS608 2017-18 T3 Assign LI Yaru Data Preparation"
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− | [[ISSS608_2017-18_T3_Assign_LI_Yaru_Conclusion & Suggestion| <b><font size="2.5"><font color="#F5F5F5">Conclusion | + | [[ISSS608_2017-18_T3_Assign_LI_Yaru_Conclusion & Suggestion| <b><font size="2.5"><font color="#F5F5F5">Conclusion</font></font></b>]] |
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<br/> | <br/> | ||
[[Image:lyr17.jpg|150px]] ==> [[Image:lyr18.jpg|150px]] | [[Image:lyr17.jpg|150px]] ==> [[Image:lyr18.jpg|150px]] | ||
+ | ==<font size="4.5"><font color="#008080">'''Main Calculated Fields'''</font></font>== | ||
+ | *To observe the dynamic changing number of record day for measures, a calculated field called “Variance” is created to show the variance between current row and the previous row, thus showing the changes according to the window table. | ||
+ | <br/> | ||
+ | [[Image:lyr19.jpg|420px]] | ||
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+ | *Some sites Achara, Decha, Tansanee did not note down the measure Methylosmoline, thus to better visualize, we need to filter out these locations while focusing on chemical Methylosmoline. In this way, a parameter called “Exclude No Record for Methylosmoline” need to be created to serve as filter and a Boolean field called “Filter” need to be supplementary as well. | ||
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+ | [[Image:lyr20.jpg|420px]] |
Latest revision as of 15:48, 9 July 2018
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Mapping Location
To enhance geographical visualization, the maps labelled sampling location should be included in Tableau. Creating a location csv file to build coordinate system by manually set coordinate for four edge corners.
In Tableau, the “Location” file is imported and x-coord and y-coord are served as geographic role to accommodate background map. Once the background map has been loaded, annotation would give corresponding coordinates for each pin-down, and by moving the annotation, we could record all the location coordinate into the location file, shown as below.
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Having set up the actionable map, then import measure reading record (Boonsong Lekagul waterways readings.csv) to tableau by right join, thus location records in reading file are all mapped in Tableau. To explore the recorded duration for each measure, we introduce a file called Duration and the file chemical units of measures.csv is also included for reference.
Unfold Measures
All the measures are under single dimension called Measures, it is hard to get summary and correlation across multiple measures, so to unfold the measure, we could get preliminary analysis about measures.
Using JMP Pro to split column measures, grouped by location and date, indicating that we only retain one record of each measures for each location in a day. Although some measures are recorded multiple times a day, we keep single record to standardized timeframe. After splitting, one measures is a single dimension, the column landscape changed to be flat.
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Main Calculated Fields
- To observe the dynamic changing number of record day for measures, a calculated field called “Variance” is created to show the variance between current row and the previous row, thus showing the changes according to the window table.
- Some sites Achara, Decha, Tansanee did not note down the measure Methylosmoline, thus to better visualize, we need to filter out these locations while focusing on chemical Methylosmoline. In this way, a parameter called “Exclude No Record for Methylosmoline” need to be created to serve as filter and a Boolean field called “Filter” need to be supplementary as well.