Difference between revisions of "IS428 AY2019-20T1 Assign Wendy Ng Sock Ling Transformation"
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This file is then imported into tableau as a data source. Next, a pivot is done on the following columns in tableau: | This file is then imported into tableau as a data source. Next, a pivot is done on the following columns in tableau: | ||
| − | Buildings | + | * Buildings |
| − | sewer_and_water | + | * sewer_and_water |
| − | power | + | * power |
| − | roads_and bridges | + | * roads_and bridges |
| − | medical | + | * medical |
| − | shake_intensity | + | * shake_intensity |
| − | The following is the data with the columns above pivoted. | + | <p>[[File:WN_transforming pivot.png|900px|center]]</p> |
| − | <p>[[File:.png|900px|center]]</p> | + | |
| + | The following is the data with the columns above pivoted. The columns are then renamed as "Objects/shake intensity" and "Extend of damage/ shake intensity". | ||
| + | <p>[[File:WN_transforming pivoted.png|900px|center]]</p> | ||
== Creating An Aggregated Data Set == | == Creating An Aggregated Data Set == | ||
Revision as of 13:55, 13 October 2019
VAST Challenge 2019 MC1: Crowdsourcing for Situational Awareness
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Contents
Transforming Data Given
With the dataset given, the reports do not have an identifier. Hence, a Report ID column is created as seen below.
This file is then imported into tableau as a data source. Next, a pivot is done on the following columns in tableau:
- Buildings
- sewer_and_water
- power
- roads_and bridges
- medical
- shake_intensity
The following is the data with the columns above pivoted. The columns are then renamed as "Objects/shake intensity" and "Extend of damage/ shake intensity".
Creating An Aggregated Data Set
The aggregated data set is created for the ease of analysis done on the higher level where all reports for the timestamp and location are aggregated into one row. This data set is created using tableau prep where the given data is aggregated by location and time column as seen below. The following are the aggregated fields:
- Sum of the number of rows
- Average damage on the buildings
- Average damage on the medical facility
- Average damage on the power
- Average damage on the roads and bridges
- Average damage on the sewer and water
- Average shake intensity
The file is then saved as a csv output and imported into tableau as a data source.
