Difference between revisions of "IS428 AY2019-20T1 Assign Ronald Lay Data Transformation"
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2 steps process
Create Calculated field
Displays Calculation statement as followed
mc1-clean-data
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<center><strong>2 steps process</strong></center> | <center><strong>2 steps process</strong></center> | ||
<center>Create Calculated field</center> | <center>Create Calculated field</center> | ||
+ | [[File:Ronald.Lay.2017_Create_Calcul.PNG|thumb|center|450px]] | ||
+ | <center>Displays Calculation statement as followed</center> | ||
[[File:Ronald.Lay.2017_Shake_Category.PNG|thumb|center|450px]] | [[File:Ronald.Lay.2017_Shake_Category.PNG|thumb|center|450px]] | ||
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The output is generated below | The output is generated below | ||
<center>mc1-clean-data</center> | <center>mc1-clean-data</center> | ||
[[File:Ronald.Lay.2017_Output.PNG|thumb|center|450px]] | [[File:Ronald.Lay.2017_Output.PNG|thumb|center|450px]] |
Revision as of 22:35, 13 October 2019
Contents
Data used for Mini Challenge 1
- mc1-reports-data.csv
- StHimark.shp
Pivoting for categories
Issue
The categories are represented in columns, which is difficult when performing the filters and charts in tableau.
Solution
Using Tableau prep to perform the pivoting of categories - Medical, Power, Road And Bridges, Sewer & Water and shake intensity - into a column called "Category" and "Reported intensity" for the value.
Binning of different intensity level
Issue
The raw data contains categorical data represented by number. However, number representation provides an unclear definition of how each value is perceived by the users.
Solution
To standardize the definition, visual binning is performed by aligning the intensity value with instrumental intensity into a number of distinct categories.
Follow the 2-step process
The output is generated below