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      <title>Group 3 - Project - SG Real Estate Augmented Data Preparation by Balamurugan M</title>
      <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym</link>
      <description>Team Members:
Balamurugan Marudhai
| Pang Kim Yang, Francis
| Rachel Tan Wei Ling
| Sunicha Tumtup
| Nur Farlina Binte Ali, Lynn
| Soh Youshen, Lester</description>
      <language>en-us</language>
      <pubDate>2020-05-24 17:53:30 UTC</pubDate>
      <lastBuildDate>2024-12-19 05:19:49 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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      <item>
         <title>Project Description</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662171</link>
         <description><![CDATA[<div>                                                                                                                                            <em>Presenter: Francis</em><br><strong>Real Estate Data For Singapore</strong><br><br></div><div>For a property investor, it is important to know the <strong><em>sales price</em></strong> as well as the <strong><em>potential rental income</em></strong> generating from a property. URA website provides both sales and rental information. However, they are presented in separate reports. In this project, we will prepare the 3 datasets from URA and attempt to present both the <em>average sales price</em> and <em>average gross rent</em> of the properties in a summarized report. </div><div><br>The scope of the project will cover:</div><ul><li>Non-landed private properties</li><li>Sales &amp; rental in Year 2019</li><li>Single unit sales</li></ul>]]></description>
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         <pubDate>2020-05-24 17:53:30 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662171</guid>
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      <item>
         <title>ACCESS</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662172</link>
         <description><![CDATA[<div>                                                                           <em>Presenter: Sunicha</em><br>In this project, we will use the 3 datasets obtained from the URA website:</div><div>1. Rental data<br>2. Sales data<br>3. District data<br><br>Source: https://www.ura.gov.sg/realEstateIIWeb/transaction/search.action<br><a href="https://www.ura.gov.sg/realEstateIIWeb/resources/misc/list_of_postal_districts.htm">https://www.ura.gov.sg/realEstateIIWeb/resources/misc/list_of_postal_districts.htm</a></div>]]></description>
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         <pubDate>2020-05-24 17:53:30 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662172</guid>
      </item>
      <item>
         <title>EXPORT</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662180</link>
         <description><![CDATA[<div>                                         <em>Presenter: Lynn</em><br>RENTAL_MAIN</div>]]></description>
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         <pubDate>2020-05-24 17:53:30 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662180</guid>
      </item>
      <item>
         <title>Augmented Data Preparation - Tasks</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662183</link>
         <description><![CDATA[<div>                                                                                                                                                    <em>Presenter: Bala</em><br>The following tasks are carried out by our team members:</div>]]></description>
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         <pubDate>2020-05-24 17:53:30 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/591662183</guid>
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      <item>
         <title>Augmented Data Preparation  - Overview</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/604630866</link>
         <description><![CDATA[<div>                                                                                                                                             <em> Presenter: Farlina</em></div>]]></description>
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         <pubDate>2020-06-01 12:12:15 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/604630866</guid>
      </item>
      <item>
         <title>RENTAL DATA</title>
         <author>2080701b1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/605942430</link>
         <description><![CDATA[<div>                                                                       <em>Presenter: Francis</em></div>]]></description>
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         <pubDate>2020-06-02 01:19:13 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/605942430</guid>
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      <item>
         <title>TASK 3</title>
         <author>2080701b1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/605944059</link>
         <description><![CDATA[<div><strong>CLEAN: </strong>Clean column <strong><em>[Project Name]</em></strong>. <br><strong>REASON:</strong> Column<strong><em> [Project Name]</em></strong> contains generic description 'Non-Landed Housing Development' instead of actual project name.<br><strong>ACTION:</strong> Filter and delete 'Non-Landed Housing Development' data records  (total 1944 rows)<br><strong>REASON:</strong> Data without project name is not useful for analysis</div>]]></description>
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         <pubDate>2020-06-02 01:21:05 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/605944059</guid>
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      <item>
         <title>TASK 1</title>
         <author>2080701b1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/605947607</link>
         <description><![CDATA[<div><strong>BLEND:</strong> Combine the 6 rental datasets into a complete rental datasets (districts 1 - 28) <br><strong>ACTION: </strong>Use Union to stack the 6 rental datasets<br><strong>REASON:</strong> The raw rental data from URA are split into 6 files based on Singapore District Code. We need to combine the rental data to form a complete rental dataset with 28 districts.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 01:24:57 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/605947607</guid>
      </item>
      <item>
         <title>DISTRICT DATA</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606728379</link>
         <description><![CDATA[<div>                                                                     <em>Presenter: Rachel</em></div>]]></description>
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         <pubDate>2020-06-02 12:10:29 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606728379</guid>
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      <item>
         <title>SALES DATA</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606729005</link>
         <description><![CDATA[<div>                                                                      <em>Presenter: Sunicha</em></div>]]></description>
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         <pubDate>2020-06-02 12:10:51 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606729005</guid>
      </item>
      <item>
         <title>TASK 11</title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606747222</link>
         <description><![CDATA[<div><strong>BLEND </strong>: Join Sales_Main with Rental_Main<br><strong>ACTION </strong>: Using 'Left Outer Join' to add  column [<strong><em>Avg Monthly Gross Rent</em></strong>]  to Sales_Main. Matched [Project Name] to [Building/Project Name] and matched [Area Range (Sqft)] to [Floor Area (Sqft)].<br><strong>REASON</strong>: Require data of value  [<strong><em>Avg Monthly Gross Rent</em></strong>]  for later action of cross table to summarize data with 'Ave Sales Price' and 'Avg Monthly Gross Rent'. </div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 12:22:05 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606747222</guid>
      </item>
      <item>
         <title>TASK 5 </title>
         <author>FarlinaAli007</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606829952</link>
         <description><![CDATA[<div><strong>TRANSFORM</strong>: Summarized Rental Data by using cross table<br><strong>ACTION</strong>: Visualization type - Cross Table, export data to file and proceed saving data as Rental_Main.txt<br><strong>REASON:</strong> Transforming the required data using cross table visualization able us to obtain the average gross rent for the individual floor area in the project / building</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 13:11:37 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606829952</guid>
      </item>
      <item>
         <title>TASK 6</title>
         <author>2080915h</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606832524</link>
         <description><![CDATA[<div><strong>BLEND </strong>:  Stack Sales datasets 1 - 6 using Union<br><strong>ACTION </strong>: Union sales data of all districts<br><strong>REASON</strong>: The sales data from  URA, 28 districts, are split into 6 files based on Singapore District Code. Thus  combine sales data for all districts together  will provide clearer image for investor on making  decision.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 13:13:04 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606832524</guid>
      </item>
      <item>
         <title>TASK 8</title>
         <author>2080915h</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606838499</link>
         <description><![CDATA[<div><strong>CLEAN</strong>: Clean column [No Of Units]<br><strong>ACTION </strong>: Delete transactions with multiple units (&gt;1) <br><strong>REASON</strong>: Transactions with multiple units will result in wrong decision making</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 13:15:51 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606838499</guid>
      </item>
      <item>
         <title>TASK 9</title>
         <author>2080844j1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606851065</link>
         <description><![CDATA[<div><strong>BLEND</strong> : Join Sales data &amp; District data<br><strong>ACTION</strong> : Left Outer Join (add column)<br><strong>REASON</strong> : There are 28 districts in Singapore, and each district offers a different living experience.  Instead of the Districts number, the District name itself would be a better reference for both the property agent and the investor.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 13:21:34 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606851065</guid>
      </item>
      <item>
         <title>TASK 10</title>
         <author>2080844j1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606855931</link>
         <description><![CDATA[<div><strong>TRANSFORM</strong> : Add new column [Area Range (sqft)]<br><strong>ACTION</strong> : Convert Area to Area Range (same as Rental Main)<br><strong>REASON</strong> : The size of the property in the rental data is showing the Area range while the sales data is in a precise area. To have consistent data that is easy for comparison, we convert the Sales data to area range.<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 13:23:55 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606855931</guid>
      </item>
      <item>
         <title>TASK 7</title>
         <author>FarlinaAli007</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606861211</link>
         <description><![CDATA[<div><strong>CLEAN</strong>: Change Date Format of column [Date Of Sale]<br><strong>ACTION</strong>: Formatting change to MMM yyyy for all date Of Sale (column)<br><strong>REASON:</strong>  All transactions under Date Of Sale (column) will be standardized showing 1st day of the month eg Dec 2009, Jan 2010 instead of different type of date format that might caused confusion.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-02 13:26:31 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606861211</guid>
      </item>
      <item>
         <title>PUBLISH</title>
         <author>2080701b1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606928736</link>
         <description><![CDATA[<div>                     <em>Presenter: Lester / Francis</em><br>SALES_FINAL</div>]]></description>
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         <pubDate>2020-06-02 13:59:17 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/606928736</guid>
      </item>
      <item>
         <title>CHALLENGES</title>
         <author>2080701b1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/614195841</link>
         <description><![CDATA[<div>                                                                                                                                                      <em>Presenter: Bala</em><br>1) URA datasets:<br>     - Website allows only 5 districts to be downloaded at one time<br>     - The URA dataset is generally quite clean<br>2) Synchronizing of tasks among team members<br>3) Use of conditional statements needed to convert <strong><em>Area</em></strong> to <strong><em>Area Range</em></strong>:<br>              <strong>CASE</strong><br>                         <strong>WHEN</strong> X <strong>AND</strong> Y <strong>THEN</strong> A<br>              <strong>ELSE</strong> B<br>              <strong>END</strong></div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-06 12:48:03 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/614195841</guid>
      </item>
      <item>
         <title>TASK 4</title>
         <author>2080637h</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/616809163</link>
         <description><![CDATA[<div><strong>CLEAN</strong>: Clean column <strong><em>[No. Of Bedrooms]<br></em></strong><strong>ACTION</strong>: Delete rows with 'na'<br><strong>REASON:</strong>  Data without no. of bedroom is not meaningful.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-08 13:05:44 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/616809163</guid>
      </item>
      <item>
         <title>TASK 12</title>
         <author>2080637h</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/616814654</link>
         <description><![CDATA[<div><strong>TRANFORM: </strong>Summarize Sales Data<br><strong>ACTION:</strong>: Summarize data with 'Avg Sales Price' and 'Avg Monthly Gross Rent' <br><strong>REASON: </strong>To display the average sales price &amp; average monthly gross rent by project by unit size (area) </div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-08 13:08:38 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/616814654</guid>
      </item>
      <item>
         <title>TASK 2</title>
         <author>2080701b1</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/625557525</link>
         <description><![CDATA[<div><strong>CLEAN 1:</strong> Change the date format of [Lease Commencement Date] <br><strong>ACTION: </strong>Change to 'MMM yy' format<br><strong>REASON:</strong> The date was changed from 'MMM yy' to 'dd/mm/yyyy' after blending. In order for the data to be accurate and for easier reading, the date format will be changed to 'MMM yyyy' format.<br><br><strong>CLEAN 2: </strong>Missing value in  [Lease Commencement Date] <br><strong>ACTION :</strong> Change to "Jun-2019"<br><strong>REASON</strong>: Rental prices generally increases over the months of the year. Hence, updating the missing data to 'Jun-2019' would statistically align the record to median position.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-06-14 06:47:36 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/625557525</guid>
      </item>
      <item>
         <title></title>
         <author>balamuruganmarudhai</author>
         <link>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/625712596</link>
         <description><![CDATA[he following tasks are carried out by our team members:]]></description>
         <enclosure url="" />
         <pubDate>2020-06-14 09:43:32 UTC</pubDate>
         <guid>https://padlet.com/balamuruganmarudhai/xfsf4wd9awg19sym/wish/625712596</guid>
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