Difference between revisions of "Kabak: Research Paper"
Jump to navigation
Jump to search
“How does factors identified affect the energy consumption pattern across Singapore? Is there any significant patterns or changes of concern?”
| Line 34: | Line 34: | ||
<br/> | <br/> | ||
<div style="border: 1px solid #35383c; padding: 15px 15px 20px; border-radius: 0 0 3px 3px;"> | <div style="border: 1px solid #35383c; padding: 15px 15px 20px; border-radius: 0 0 3px 3px;"> | ||
| − | In order to better visualize the energy consumption across the various households in Singapore, our team set out to explore the energy consumption data available on the Energy Market Authority. As the data provided is in a rather raw form, data processing | + | In order to better visualize the energy consumption across the various households in Singapore, our team set out to explore the energy consumption data available on the Energy Market Authority. As the data provided is in a rather raw form, our team performed a series of data processing and cleaning to prepare the data in an ideal fashion required in the later phase of our project. |
| − | The key visualization question or team wished to explore using our visual application is: “How does factors identified affect the energy consumption pattern across Singapore? Is there any significant patterns or changes of concern?” | + | |
| + | The key visualization question or team wished to explore using our visual application is: | ||
| + | <br/> | ||
| + | <center><b>“How does factors identified affect the energy consumption pattern across Singapore? Is there any significant patterns or changes of concern?”</b></center> | ||
| + | |||
Having set our data visualization objectives, our team then made use of d3.js to develop our visual application using the cleaned set of data. | Having set our data visualization objectives, our team then made use of d3.js to develop our visual application using the cleaned set of data. | ||
</div> | </div> | ||
Revision as of 13:26, 22 November 2016
In order to better visualize the energy consumption across the various households in Singapore, our team set out to explore the energy consumption data available on the Energy Market Authority. As the data provided is in a rather raw form, our team performed a series of data processing and cleaning to prepare the data in an ideal fashion required in the later phase of our project.
The key visualization question or team wished to explore using our visual application is:
Having set our data visualization objectives, our team then made use of d3.js to develop our visual application using the cleaned set of data.
