Catching Phishes with Machine Learning

Categories: machine-learning, phishing Catching Phishes with Machine Learning By Su Yiin Ang, Anne Nyugen Nhi Thai An, Gordy Adiprasetyo, Kendra Luisa Balong Gadong. This was written as part of the requirements for the Applied Machine Learning module for MITB. For presentation deck, please view : Presentation deck 1. Introduction Phishing websites are websites that are constructed to look identical to the real website with intention to trick recipients into divulging confidential data such as usernames and passwords.

August 6, 2021 Read
Search box

Documenting my Tableau learning journey. Look up Profit and Quantity of Specific customer. var divElement = document.getElementById('viz1623077669575'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); Full visualisation available on Tableau Public. Other use cases - Tableau Public Good for Looking up text. How to create - step by step To illustrate this search function, I have used the EU superstore dataset (Tableau’s sample dataset).

June 7, 2021 Read
Taking a Shot at COVID-19 Vaccine Hesitancy on Reddit

Categories: text-mining, reddit, vaccine-hesitancy, sentiment-analysis, topic-modelling a Textual Analysis via Topic Modelling & Sentiment Analysis By Bernard Lim, Su Yiin Ang, Anne Nyugen Nhi Thai An, Ron Tan, Pengjie He, Poh Wai Wong. This was written as part of the requirements for the Text Analytics and Applications module for MITB. 1. Introduction As of April 2021, the Covid-19 pandemic has caused 135 million infections, 2.9 million deaths and repeated resurgence due to mutated variants.

April 15, 2021 Read
Shiny prototype test for Exploratory Analysis

Categories : R Shiny, Exploratory Analysis, Confirmatory Analysis, ggplot, airbnb This was written as part of the requirements for the Visual Analytics module for MITB. Update: This application is now live, visit our Website{target="_blank"} Application{target="_blank"} Poster{target="_blank"} Paper{target="_blank"} 1. Introduction 1.1 Overview of application The increasing availability of data has resulted in increased demand for data driven decisions. Although there is an extensive range of commercial statistical tools, they are often subscription-based and demand good technical knowledge to mine and draw insights from.

April 10, 2021 Read
DataViz Makeover #3

Political Violence and Protests in South East Asia This was written as part of the requirements for the Visual Analytics module for MITB. For this DataViz Makeover, I have used data from The Armed Conflict Location & Event Data Project (ACLED), a centralized hub for data on all reported instances of political violence and protests around the world. 1. The original visualisation var divElement = document.getElementById('viz1615905508827'); var vizElement = divElement.

March 21, 2021 Read
Likert Scale

Documenting my Tableau learning journey. Likert Scale Survey on mental wellness in Singapore. var divElement = document.getElementById('viz1615607707206'); var vizElement = divElement.getElementsByTagName('object')[0]; if ( divElement.offsetWidth 800 ) { vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px';} else if ( divElement.offsetWidth 500 ) { vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px';} else { vizElement.style.width='100%';vizElement.style.height='1277px';} var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); Full visualisation available on Tableau Public. Good for Analysing survey data How to create - step by step I have used the Covid-19 tracker data for Singapore from YouGov.

March 9, 2021 Read
DataViz Makeover #2

Understanding the willingness of public for Covid-19 vaccination based on survey data. This was written as part of the requirements for the Visual Analytics module for MITB. 1. The original visualisation For this DataViz Makeover, I have used data from Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub, which collects global insights on people’s behaviours in response to Covid-19. Figure 1 Before making over the selected visualisation, it is important to have a clear understanding of the context of the visualisation and its key takeaways which are dependent on:

February 18, 2021 Read
Animated Population Pyramid

Documenting my Tableau learning journey. Population Pyramid How Singapore’s population changes across the years. Full visualisation available on Tableau Public. Good for Analysing population by age and gender. How to create - step by step The data I have used the Singapore Residents By Age Group, Ethnic Group and Gender from data.gov.sg. Before loading into Tableau, I have extracted only the female and males data from 1981 to 2019 using Excel as the remaining data is irrelevant for this exercise.

February 9, 2021 Read
Cycle Plots

Documenting my Tableau learning journey. Cycle plots Here we can see that visitors from the UK are typically lower in the months of May and June, and higher in March. var divElement = document.getElementById('viz1612865326246'); var vizElement = divElement.getElementsByTagName('object')[0]; if ( divElement.offsetWidth 800 ) { vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px';} else if ( divElement.offsetWidth 500 ) { vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px';} else { vizElement.style.width='100%';vizElement.style.height='727px';} var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); Good for Analysing seasonality / cyclical patterns

February 9, 2021 Read
Intro: Tableau how to section

This Tableau How To section was created to document my learning journey with Tableau. Majority of these visualisations were created during the Visual Analytics class of MITB, and recreated in my free time for my learning purpose. I would like to thank Prof Kam of Singapore Management University for the inspiration. Education vector created by stories - www.freepik.com

February 9, 2021 Read
DataViz Makeover #1

Making over a chart from the Singapore Labour Force (2019) report. This was written as part of the requirements for the Visual Analytics module for MITB. For my first DataViz makeover, I have used data from the Ministry of Manpower of Singapore, which analyses Singapore’s labour force to understand shifts in the labour market to facilitate better decision making. 1) The original visualisation Figure 1: Chart 6 of Labour Force in Singapore 2019 report (page 22)

January 26, 2021 Read
Understanding the Stars

Categories: SAS JMP, SAS Enterprise Miner, Airbnb, text-analysis, exploratory-analysis, confirmatory-analysis Augmenting Numerical Data with Textual Analysis to Identify Key Determinants of Airbnb Review Scores By: Ang Su Yiin, Anne Nguyen Nhi Thai An, Toh E-Lynn This report was written as part of the requirement for the Data Analytics Lab module for MITB. For poster, please view : Poster 1. Abstract Text analytics provides powerful tools for transforming large amounts of unstructured data into quantitative variables, allowing researchers to contribute unique insights to business decision-making.

December 1, 2020 Read