Difference between revisions of "Assignment Dropbox"

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(Created page with "=Background= <big>'''Education Matters'''</big> <br> Education, often thought as the pre-requiste to a successful career and better income, has long been Singapore’s priorit...")
 
 
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=Background=
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<div style=background:#556B2F border:#A3BFB1>
<big>'''Education Matters'''</big> <br>
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[[Image:va.jpg|200px]]
Education, often thought as the pre-requiste to a successful career and better income, has long been Singapore’s priority. But does better education lead to better income? What are the other factors that allows one to command a higher pay? What can Singaporeans do to get a better income?
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<font size = 5; color="#FFFFFF">IS428 Visual Analytics for Business Intelligence</font>
<br><br>
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</div>
==Motivation==
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<!--MAIN HEADER -->
One of the choice I had after my Polytechnic education was if I should continue my education to university or to start work to repay my education debt. My friend decided that he would be able to earn more. I would love to prove it using this visual analytics project. However, a project based on a personal agenda would not be very useful to readers and by projecting estimated earning seems off track to this project. Hence, I shall focus on the income disparities due to education.
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{|style="background-color:#556B2F; color:#000000 padding: 5px 0 0 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
<br><br>
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| style="padding:0.4em; font-size:100%; background-color:#556B2F;  border-bottom:4px solid #556B2F; border-top:4px solid #556B2F; text-align:center; color:#556B2F" width="10%" |[[MA1| <font color="#ffffff"><b>Assignment 1</b></font>]]
=Rationale of data selection=
 
According to our story, I searched and found a data set on Singaporeans’ income group seperated by education level and gender. This dataset was particularly useful as it gave both education level as a whole and an option to separate by gender. This allowed me to generate graph on the level of abstraction I want (education level on the first set of visualization graphs and zooming into gender difference on the second set of visualization graphs).
 
[[File: Va ass 1 dataset.xlsx]]
 
=Don’t quit!=
 
While analyzing the dataset from data.gov.sg regarding Singaporeans, their education level and income, I noticed a difference in the upward skewness of the graphs by education level.
 
[[File:Income by education.png]]<br>
 
Higher education does command a higher pay. It is apparent from the chart that every increase in education level also increases the median income by an income bin. Primary and University level of education graph.
 
<br><br>
 
Simply for numeric comparsion: <br>
 
1. The top 80% of university graduate earn more than 50% of polytechnic, 70% of Secondary school level and 90% of Primary education level graduates. <br>
 
2. Top half of university graduate earn more than 80% of polytechnic, 90% of secondary school level and 97% of primary school graduates.
 
  
The difference makes it undeniably important that education gives individuals a better shot of getting higher income.
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| style="border-bottom:4px solid #556B2F; border-top:4px solid #556B2F; background:none;" width="1%" | &nbsp;
===Rationale for chart design===
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| style="padding:0.4em; font-size:100%; background-color:#556B2F;  border-bottom:4px solid #556B2F; border-top:4px solid #556B2F; text-align:center; color:#008000" width="10%" |[[Assign2|<font color="#ffffff" size=2><b>Assignment 2</b></font>]]
For the chart (Monthly income by Education Level), I decided to put the a bar chart for all four major category of education horizontally in a lower to higher education level. This will help the readers in understanding the situation quickly and see the skewed difference on each level.<br><br>Since it didn’t seems to help readers with different colors (whether on gender or education level), no coloring was used.
 
  
===Preparations===
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| style="border-bottom:4px solid #556B2F; border-top:4px solid #556B2F; background:none;" width="1%" | &nbsp;
<u>Bar chart across education levels</u><br>
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| style="padding:0.4em; font-size:100%; background-color:#556B2F;  border-bottom:4px solid #556B2F; border-top:4px solid #556B2F; text-align:center; color:#008000" width="10%" |[[Assign3|<font color="#ffffff" size=2><b>Assignment 3</b></font>]]
Using data from data.gov.sg, I managed to get data on people’s income aggregated by the different income bins and their highest attained education level. Simply by removing the top excess rows, I was able to generated the above chart using tableau. <br>
 
<u>Numeric comparsion</u>
 
Using the same dataset, we select on the top 80% of university graduate lowest income group and using that income group, see how many people in other education level is below that income group.
 
  
=Does it pay to be a man?=
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| style="border-bottom:4px solid #556B2F; border-top:4px solid #556B2F; background:none;" width="1%" | &nbsp;
An interesting observation came up when analyzing the dataset. Females across all education level were skewed towards the lower income bins. To simplify the visualization, I will use the University level to do a side by side comparision.
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| style="padding:0.4em; font-size:90%; background-color:#556B2F;  border-bottom:4px solid #556B2F; border-top:4px solid #556B2F; text-align:center; color:#008000" width="10%" |[[Assignment Dropbox|<font color="#ffffff" size=2><b>Assignment Dropbox</b></font>]]
[[File:Income uni gender.png]]<br>
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|}
  
It seems that gender equality have yet to find its place in the workforce, at least for the time being and within the top education level group. The chart above demonstration that women have lesser presence in the upper half of the bins.
 
  
If we take the difference between the genders in each income bin and plot into a chart, we would see females have a greater presense in the lower income bin while male dominates the higher income bins. An area line graph was used to ensure that reader can see the comparision past the 0 difference mark and hence shows which income bin does each gender excel in.
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{| class="wikitable centered" width="90%"
  [[File:DifferenceInMaleVsFemaleInBinsColored.jpg]] <br>
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!Student Name
 
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!Assignment 1
<u>Possible reason for the difference</u><br>
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!Assignment 2
• Jobs that are dominated by women like teaching does not pay as much as jobs that are dominated by man like engineering. <br>
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!Assignment 3
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|-
• There are more men in the workforce. Women are more likely to be homemakers after marriage (or giving birth) than men and thus an uneven workforce population. Also, the data we look at is only for university degree holders. And there were much fewer female university graduate in the past. <br>
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|width="20%"|<!-- Student Name--> Aaron Mak Kang Sheng  
 
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Aaron_Mak_Kang_Sheng]]
• It takes years for a female university  graduate to hit the higher income bin and given the social stereotype in the past, it would take many years before we see female university graduate have a bigger presences in higher income bins.
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Aaron_Mak_Kang_Sheng]]
[[File:More males than females.png|200px|thumb|right|More man than women in workforce with university degree]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Aaron_Mak_Kang_Sheng]]
 
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|-
===Rationale for chart design===
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|width="20%"|<!-- Student Name--> Albert Bingei
With the dataset that was taken from data.gov.sg, there is only boxplot and side by side bar chart that highlights the difference that both genders are getting without requiring the user to strain their eyes and figure if there is a difference like in a packed bubbles chart (or any other area based charts). <br><br>
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Albert Bingei]]
Graph color wise, area chart and side by side bar chart are given colors based on the gender stereotype colors (pink for female and blue for male). The purpose was to allow readers to understand the graph quickly even without the help of color legend. Area line graph was further editted (photoshopped to be pink and blue with text) to make it more obvious which gender has a higher presence in which income bin. <br><br>
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Albert Bingei]]
No sorting was done on any of my graphs does not make useful sense to the user, especially when handling data seperated by income bins. I reordered some of the items such as “Below 500” as it was originally automatically sorted after the highest income bin. . <br><br>
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Albert Bingei]]
The side by side bar chart was deliberately set horizontal to aid users in the reading of the labels.
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|-
<br>
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|width="20%"|<!-- Student Name--> Au Loong Zer Kirby
<u>Other unused chart</u><br>
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Au Loong Zer Kirby]]
The dataset from data.gov.sg was an aggregated count based on income bins making it difficult to easily generate a correct boxplot. Data massaging was required to change the dataset from an aggregated form to a list of incomes based on the counts of each bin. The generated dataset was used to make a boxplot seen below.
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Au Loong Zer Kirby]]
[[File:Boxplot uni gender.png|200px|thumb|left|Do not use boxplot for aggregated dataset]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Au Loong Zer Kirby]]
This box plot highlights the difference between the pay that man and woman as a whole instead of by income brackets. As we can see from the box plot, men receive significantly more than woman on average and median. Although boxplot could illustrate the difference by percentile and other mathematical comparison, this chart was generated based on a generated data set which meant that it will not be solid enough to make a statement out of it. Therefore, the boxplot was not used in our analysis.
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|-
[[File:Pre-generated data.png|200px|thumb|right|Before generating]]
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|width="20%"|<!-- Student Name--> Bong Jun Hao
[[File:3mb.png|200px|thumb|right|After generating]]
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Bong Jun Hao]]
 
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Bong Jun Hao]]
===Preparations===
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Bong Jun Hao]]
<u>Side-by-side bar chart</u>
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|-
Similar to how the bar chart was done, the dataset only required some massaging of its header before feeding it onto tableau. I decided to use side by side bar chart and a gender stereotyped colouring for easier viewing of the difference in pay each gender is getting.
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|width="20%"|<!-- Student Name--> Chen Huiyan
 
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Chen Huiyan]]
<u>Area Line chart</u>
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Chen Huiyan]]
Using the dataset of female and males university graduates and their numbers in income bins, I used a '''calculated field''' to get the difference between gender across the bin.
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Chen Huiyan]]
 
+
|-
<u>Box plot chart</u>
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|width="20%"|<!-- Student Name--> Chua Feng Ru
The above box plot chart of university graduate separated by gender required much more massaging of data before it could be used. Because the data given to us was aggregated into counts of occurrence, I used java codes to repeat the occurrence into actual values (using upper limit).
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Chua Feng Ru]]
 
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Chua Feng Ru]]
=Conclusion=
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Chua Feng Ru]]
In the first set visualization graphs (Don’t Quit!), we have shown that education does directly affect an individual’s income and low education may be turned into an income ceiling. Hence, I strongly recommend students to keep progressing to higher education as much as possible.
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|-
The second set of visualization graphs (Does it pay to be a man?) which was derived from an observation of the same dataset seems to suggest that females are at a disadvantage. Unfortunately, that I was unable to attain the same dataset arranged by years which could be  used to form a trendline to see the changes over time. Due to the social stereotype which limits females in the industry as well as studying in the past, we can see the lack of education have played its part in resulting females to have a lesser presence in higher income bins.
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|width="20%"|<!-- Student Name--> Chua Shan Yong James
 
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Chua Shan Yong James]]
=infographic=
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Chua Shan Yong James]]
[[File: Final_infographic.jpg|400px]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Chua Shan Yong James]]
=Comments?=
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|-
Good job! I like the way you presented your topic, looking at the demographic first, then zoom in looking at the different gender and also how you created a unique graph through your insights.<br>
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|width="20%"|<!-- Student Name--> Cornelia Tisandinia Larasati
 
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Cornelia Tisandinia Larasati]]
-- Benjamin Tan
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Cornelia Tisandinia Larasati]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Cornelia Tisandinia Larasati]]
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|width="20%"|<!-- Student Name--> Dhar Sohini
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_XXX]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_XXX]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_XXX]]
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|-
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|width="20%"|<!-- Student Name--> Dina Heng Li Gwek
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Dina Heng Li Gwek]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Dina Heng Li Gwek]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Dina Heng Li Gwek]]
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|-
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|width="20%"|<!-- Student Name--> Gwendoline Tan Wan Xin
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Gwendoline_Tan_Wan_Xin]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Gwendoline_Tan_Wan_Xin]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Gwendoline_Tan_Wan_Xin]]
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|-
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|width="20%"|<!-- Student Name--> Heng Yi Teng Mabel
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Heng Yi Teng Mabel]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Heng Yi Teng Mabel]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Heng Yi Teng Mabel]]
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|-
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|width="20%"|<!-- Student Name--> Jee Zhi Ying Audrey
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Audrey Jee Zhi Ying]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Audrey Jee Zhi Ying]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Audrey Jee Zhi Ying]]
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|-
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|width="20%"|<!-- Student Name--> Joachim Fu Jun Hao
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Joachim Fu Jun Hao]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Joachim Fu Jun Hao]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Joachim Fu Jun Hao]]
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|-
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|width="20%"|<!-- Student Name--> Joanne Ong Shi Ying
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Joanne Ong Shi Ying]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Joanne Ong Shi Ying]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Joanne Ong Shi Ying]]
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|-
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|width="20%"|<!-- Student Name--> Jonathan Eduard Chua Lim
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Jonathan Eduard Chua Lim]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Jonathan Eduard Chua Lim]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Jonathan Eduard Chua Lim]]
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|-
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|width="20%"|<!-- Student Name--> Koh Wei De John
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_XXX]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_XXX]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_XXX]]
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|-
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|width="20%"|<!-- Student Name--> Lee Wai Tong Arnold
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Lee_Wai_Tong_Arnold]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Lee_Wai_Tong_Arnold]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Lee_Wai_Tong_Arnold]]
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|-
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|width="20%"|<!-- Student Name--> Li Weiqiao
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Li Weiqiao]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Li_Weiqiao]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_XXX]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Liang Bing
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Liang Bing]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Liang Bing]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Liang Bing]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Lim Hui Ting
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Lim Hui Ting]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Lim Hui Ting]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Lim Hui Ting]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Lim Kim Yong
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Lim Kim Yong]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Lim Kim Yong]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Lim Kim Yong]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Lim Lai Ho
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Lim_Lai_Ho]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Lim_Lai_Ho]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Lim_Lai_Ho]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Lim Ting Zhi
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Lim_Ting_Zhi]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Lim_Ting_Zhi]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Lim_Ting_Zhi]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Lim Zi Yu Jouta
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Lim_Zi_Yu_Jouta]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Lim_Zi_Yu_Jouta]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Lim_Zi_Yu_Jouta]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Liu Bowei
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Liu_Bowei]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Liu_Bowei]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Liu_Bowei]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Manas Mohapatra
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Manas Mohapatra]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Manas Mohapatra]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Manas Mohapatra]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Margot Marie T Stelleman
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Margot Marie T Stelleman]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Margot Marie T Stelleman]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Margot Marie T Stelleman]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Nabilah Banu Binte Mohamed Nasir Khan
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_XXX]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_XXX]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_XXX]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Nguyen Duy Loc
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Nguyen_Duy_Loc]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Nguyen_Duy_Loc]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Nguyen_Duy_Loc]]
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|-
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|width="20%"|<!-- Student Name--> Nguyen Luong Thanh Minh
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Nguyen_Luong_Thanh_Minh]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Nguyen_Luong_Thanh_Minh]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Nguyen_Luong_Thanh_Minh]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Nurul Sofia Atikah Binte Saban
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_XXX]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_XXX]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_XXX]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Ong Ming Hao
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Ong Ming Hao]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Ong Ming Hao]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Ong Ming Hao]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Rachel Tay
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Rachel_Tay]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Rachel_Tay]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Rachel_Tay]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Siti Nordiyana Binte Fuad
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_XXX]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_XXX]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_XXX]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Tan Kee Hock
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|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Tan_Kee_Hock]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Tan_Kee_Hock]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Tan_Kee_Hock]]
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|-
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|-
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|width="20%"|<!-- Student Name--> Tan Yong Kiong Alson
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Tan_Yong_Kiong_Alson]]
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|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Tan_Yong_Kiong_Alson]]
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|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Tan_Yong_Kiong_Alson]]
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|-
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|-
 +
|width="20%"|<!-- Student Name--> Tee Yu Xuan
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Tee Yu Xuan]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Tee Yu Xuan]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Tee Yu Xuan]]
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|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Teo Hui Min
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Teo Hui Min]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Teo Hui Min]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Teo Hui Min]]
 +
|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Thomas Joseph Thio Kit Sun
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Thomas_Joseph_Thio_Kit_Sun]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Thomas_Joseph_Thio_Kit_Sun]] [[IS428_2016-17_Term1_Assign2V2_Thomas_Joseph_Thio_Kit_Sun]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Thomas_Joseph_Thio_Kit_Sun]]
 +
|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Timothy Tan Swee Guang
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Timothy Tan Swee Guang]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Timothy Tan Swee Guang]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Timothy Tan Swee Guang]]
 +
|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Siti Nordiyana Binte Fuad
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_XXX]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_XXX]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_XXX]]
 +
|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Wang Jingxuan
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Wang Jingxuan]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Wang Jingxuan]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Wang Jingxuan]]
 +
|-
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|-
 +
|width="20%"|<!-- Student Name--> Wang Ziteng
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Wang Ziteng]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Wang Ziteng]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Wang Ziteng]]
 +
|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Wu Wei
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Wu Wei]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Wu Wei]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Wu Wei]]
 +
|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Yang Chengzhen
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Yang Chengzhen]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Yang Chengzhen]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Yang Chengzhen]]
 +
|-
 +
|-
 +
|width="20%"|<!-- Student Name--> Zheng Xiye
 +
|width="10%"|<!-- Assignment 1--> [[IS428_2016-17_Term1_Assign1_Zheng Xiye]]
 +
|width="10%"|<!-- Assignment 2--> [[IS428_2016-17_Term1_Assign2_Zheng Xiye]]
 +
|width="10%"|<!-- Assignment 3--> [[IS428_2016-17_Term1_Assign3_Zheng Xiye]]
 +
|-
 +
|-

Latest revision as of 03:13, 24 October 2016

Va.jpg IS428 Visual Analytics for Business Intelligence

Assignment 1   Assignment 2   Assignment 3   Assignment Dropbox


Student Name Assignment 1 Assignment 2 Assignment 3
Aaron Mak Kang Sheng IS428_2016-17_Term1_Assign1_Aaron_Mak_Kang_Sheng IS428_2016-17_Term1_Assign2_Aaron_Mak_Kang_Sheng IS428_2016-17_Term1_Assign3_Aaron_Mak_Kang_Sheng
Albert Bingei IS428_2016-17_Term1_Assign1_Albert Bingei IS428_2016-17_Term1_Assign2_Albert Bingei IS428_2016-17_Term1_Assign3_Albert Bingei
Au Loong Zer Kirby IS428_2016-17_Term1_Assign1_Au Loong Zer Kirby IS428_2016-17_Term1_Assign2_Au Loong Zer Kirby IS428_2016-17_Term1_Assign3_Au Loong Zer Kirby
Bong Jun Hao IS428_2016-17_Term1_Assign1_Bong Jun Hao IS428_2016-17_Term1_Assign2_Bong Jun Hao IS428_2016-17_Term1_Assign3_Bong Jun Hao
Chen Huiyan IS428_2016-17_Term1_Assign1_Chen Huiyan IS428_2016-17_Term1_Assign2_Chen Huiyan IS428_2016-17_Term1_Assign3_Chen Huiyan
Chua Feng Ru IS428_2016-17_Term1_Assign1_Chua Feng Ru IS428_2016-17_Term1_Assign2_Chua Feng Ru IS428_2016-17_Term1_Assign3_Chua Feng Ru
Chua Shan Yong James IS428_2016-17_Term1_Assign1_Chua Shan Yong James IS428_2016-17_Term1_Assign2_Chua Shan Yong James IS428_2016-17_Term1_Assign3_Chua Shan Yong James
Cornelia Tisandinia Larasati IS428_2016-17_Term1_Assign1_Cornelia Tisandinia Larasati IS428_2016-17_Term1_Assign2_Cornelia Tisandinia Larasati IS428_2016-17_Term1_Assign3_Cornelia Tisandinia Larasati
Dhar Sohini IS428_2016-17_Term1_Assign1_XXX IS428_2016-17_Term1_Assign2_XXX IS428_2016-17_Term1_Assign3_XXX
Dina Heng Li Gwek IS428_2016-17_Term1_Assign1_Dina Heng Li Gwek IS428_2016-17_Term1_Assign2_Dina Heng Li Gwek IS428_2016-17_Term1_Assign3_Dina Heng Li Gwek
Gwendoline Tan Wan Xin IS428_2016-17_Term1_Assign1_Gwendoline_Tan_Wan_Xin IS428_2016-17_Term1_Assign2_Gwendoline_Tan_Wan_Xin IS428_2016-17_Term1_Assign3_Gwendoline_Tan_Wan_Xin
Heng Yi Teng Mabel IS428_2016-17_Term1_Assign1_Heng Yi Teng Mabel IS428_2016-17_Term1_Assign2_Heng Yi Teng Mabel IS428_2016-17_Term1_Assign3_Heng Yi Teng Mabel
Jee Zhi Ying Audrey IS428_2016-17_Term1_Assign1_Audrey Jee Zhi Ying IS428_2016-17_Term1_Assign2_Audrey Jee Zhi Ying IS428_2016-17_Term1_Assign3_Audrey Jee Zhi Ying
Joachim Fu Jun Hao IS428_2016-17_Term1_Assign1_Joachim Fu Jun Hao IS428_2016-17_Term1_Assign2_Joachim Fu Jun Hao IS428_2016-17_Term1_Assign3_Joachim Fu Jun Hao
Joanne Ong Shi Ying IS428_2016-17_Term1_Assign1_Joanne Ong Shi Ying IS428_2016-17_Term1_Assign2_Joanne Ong Shi Ying IS428_2016-17_Term1_Assign3_Joanne Ong Shi Ying
Jonathan Eduard Chua Lim IS428_2016-17_Term1_Assign1_Jonathan Eduard Chua Lim IS428_2016-17_Term1_Assign2_Jonathan Eduard Chua Lim IS428_2016-17_Term1_Assign3_Jonathan Eduard Chua Lim
Koh Wei De John IS428_2016-17_Term1_Assign1_XXX IS428_2016-17_Term1_Assign2_XXX IS428_2016-17_Term1_Assign3_XXX
Lee Wai Tong Arnold IS428_2016-17_Term1_Assign1_Lee_Wai_Tong_Arnold IS428_2016-17_Term1_Assign2_Lee_Wai_Tong_Arnold IS428_2016-17_Term1_Assign3_Lee_Wai_Tong_Arnold
Li Weiqiao IS428_2016-17_Term1_Assign1_Li Weiqiao IS428_2016-17_Term1_Assign2_Li_Weiqiao IS428_2016-17_Term1_Assign3_XXX
Liang Bing IS428_2016-17_Term1_Assign1_Liang Bing IS428_2016-17_Term1_Assign2_Liang Bing IS428_2016-17_Term1_Assign3_Liang Bing
Lim Hui Ting IS428_2016-17_Term1_Assign1_Lim Hui Ting IS428_2016-17_Term1_Assign2_Lim Hui Ting IS428_2016-17_Term1_Assign3_Lim Hui Ting
Lim Kim Yong IS428_2016-17_Term1_Assign1_Lim Kim Yong IS428_2016-17_Term1_Assign2_Lim Kim Yong IS428_2016-17_Term1_Assign3_Lim Kim Yong
Lim Lai Ho IS428_2016-17_Term1_Assign1_Lim_Lai_Ho IS428_2016-17_Term1_Assign2_Lim_Lai_Ho IS428_2016-17_Term1_Assign3_Lim_Lai_Ho
Lim Ting Zhi IS428_2016-17_Term1_Assign1_Lim_Ting_Zhi IS428_2016-17_Term1_Assign2_Lim_Ting_Zhi IS428_2016-17_Term1_Assign3_Lim_Ting_Zhi
Lim Zi Yu Jouta IS428_2016-17_Term1_Assign1_Lim_Zi_Yu_Jouta IS428_2016-17_Term1_Assign2_Lim_Zi_Yu_Jouta IS428_2016-17_Term1_Assign3_Lim_Zi_Yu_Jouta
Liu Bowei IS428_2016-17_Term1_Assign1_Liu_Bowei IS428_2016-17_Term1_Assign2_Liu_Bowei IS428_2016-17_Term1_Assign3_Liu_Bowei
Manas Mohapatra IS428_2016-17_Term1_Assign1_Manas Mohapatra IS428_2016-17_Term1_Assign2_Manas Mohapatra IS428_2016-17_Term1_Assign3_Manas Mohapatra
Margot Marie T Stelleman IS428_2016-17_Term1_Assign1_Margot Marie T Stelleman IS428_2016-17_Term1_Assign2_Margot Marie T Stelleman IS428_2016-17_Term1_Assign3_Margot Marie T Stelleman
Nabilah Banu Binte Mohamed Nasir Khan IS428_2016-17_Term1_Assign1_XXX IS428_2016-17_Term1_Assign2_XXX IS428_2016-17_Term1_Assign3_XXX
Nguyen Duy Loc IS428_2016-17_Term1_Assign1_Nguyen_Duy_Loc IS428_2016-17_Term1_Assign2_Nguyen_Duy_Loc IS428_2016-17_Term1_Assign3_Nguyen_Duy_Loc
Nguyen Luong Thanh Minh IS428_2016-17_Term1_Assign1_Nguyen_Luong_Thanh_Minh IS428_2016-17_Term1_Assign2_Nguyen_Luong_Thanh_Minh IS428_2016-17_Term1_Assign3_Nguyen_Luong_Thanh_Minh
Nurul Sofia Atikah Binte Saban IS428_2016-17_Term1_Assign1_XXX IS428_2016-17_Term1_Assign2_XXX IS428_2016-17_Term1_Assign3_XXX
Ong Ming Hao IS428_2016-17_Term1_Assign1_Ong Ming Hao IS428_2016-17_Term1_Assign2_Ong Ming Hao IS428_2016-17_Term1_Assign3_Ong Ming Hao
Rachel Tay IS428_2016-17_Term1_Assign1_Rachel_Tay IS428_2016-17_Term1_Assign2_Rachel_Tay IS428_2016-17_Term1_Assign3_Rachel_Tay
Siti Nordiyana Binte Fuad IS428_2016-17_Term1_Assign1_XXX IS428_2016-17_Term1_Assign2_XXX IS428_2016-17_Term1_Assign3_XXX
Tan Kee Hock IS428_2016-17_Term1_Assign1_Tan_Kee_Hock IS428_2016-17_Term1_Assign2_Tan_Kee_Hock IS428_2016-17_Term1_Assign3_Tan_Kee_Hock
Tan Yong Kiong Alson IS428_2016-17_Term1_Assign1_Tan_Yong_Kiong_Alson IS428_2016-17_Term1_Assign2_Tan_Yong_Kiong_Alson IS428_2016-17_Term1_Assign3_Tan_Yong_Kiong_Alson
Tee Yu Xuan IS428_2016-17_Term1_Assign1_Tee Yu Xuan IS428_2016-17_Term1_Assign2_Tee Yu Xuan IS428_2016-17_Term1_Assign3_Tee Yu Xuan
Teo Hui Min IS428_2016-17_Term1_Assign1_Teo Hui Min IS428_2016-17_Term1_Assign2_Teo Hui Min IS428_2016-17_Term1_Assign3_Teo Hui Min
Thomas Joseph Thio Kit Sun IS428_2016-17_Term1_Assign1_Thomas_Joseph_Thio_Kit_Sun IS428_2016-17_Term1_Assign2_Thomas_Joseph_Thio_Kit_Sun IS428_2016-17_Term1_Assign2V2_Thomas_Joseph_Thio_Kit_Sun IS428_2016-17_Term1_Assign3_Thomas_Joseph_Thio_Kit_Sun
Timothy Tan Swee Guang IS428_2016-17_Term1_Assign1_Timothy Tan Swee Guang IS428_2016-17_Term1_Assign2_Timothy Tan Swee Guang IS428_2016-17_Term1_Assign3_Timothy Tan Swee Guang
Siti Nordiyana Binte Fuad IS428_2016-17_Term1_Assign1_XXX IS428_2016-17_Term1_Assign2_XXX IS428_2016-17_Term1_Assign3_XXX
Wang Jingxuan IS428_2016-17_Term1_Assign1_Wang Jingxuan IS428_2016-17_Term1_Assign2_Wang Jingxuan IS428_2016-17_Term1_Assign3_Wang Jingxuan
Wang Ziteng IS428_2016-17_Term1_Assign1_Wang Ziteng IS428_2016-17_Term1_Assign2_Wang Ziteng IS428_2016-17_Term1_Assign3_Wang Ziteng
Wu Wei IS428_2016-17_Term1_Assign1_Wu Wei IS428_2016-17_Term1_Assign2_Wu Wei IS428_2016-17_Term1_Assign3_Wu Wei
Yang Chengzhen IS428_2016-17_Term1_Assign1_Yang Chengzhen IS428_2016-17_Term1_Assign2_Yang Chengzhen IS428_2016-17_Term1_Assign3_Yang Chengzhen
Zheng Xiye IS428_2016-17_Term1_Assign1_Zheng Xiye IS428_2016-17_Term1_Assign2_Zheng Xiye IS428_2016-17_Term1_Assign3_Zheng Xiye