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Jason's Website!

HTML-Css-Js Project

This git repository contains simple home page coding sources using HTML and CSS. The project was submitted by the school as an assignment, using Microsoft Expression Web 4 as a tool.

Recommended Steps

1. Download Microsoft Expression Web 4: Download URL
2. Download Code sources from the relevant GitHub repository
3. Unzip the file
4. Run the file in MS Expression Web 4

Reference

• How to download MS Expression Web 4?

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C# Project & Algorithm

This git repository includes algorithms and shares assignments/projects completed at school. The main language and tools are Visual Studio (version: 2019) using C # code (.NET Framework), and each directory contains a README - it is recommended to read and run the code first.

Recommended Steps

1. Click on "Clone or download" in the GitHub repository
2. Click on "Download Zip"
3. Unzip the files
4. Read the "README" file
5. Run the code in your Visual Studio: Visual Stuido Download URL

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Java + SQL Project

This GitHub repository contains E-commercial management system applications using Oracle PL/SQL and Java. The purpose of this project is to generate more profits by selling goods to a wider customer base through E-commercial.
Based on the Oracle SQL Developer program, tables based on the characteristics of the information contained in PL/SQL have been created. The total number of the table is six, which are 'Product', 'Customers', 'Category', 'OrderDetail', 'Orders', and 'Shipping' in the Entity-Relationship Diagram(ERD).
In this project, JavaFX is used to run consistently across multiple platforms and various devices such as desktop, mobile phones, tablets, TV, and etc.

What is JavaFX?

JavaFX is a Java library that allows users to build Rich Internet Applications. Moreover, JavaFX also provides interfaces using which developers can combine graphics, animation and UI control. For more details, please refer to the following link: See Details

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Python Data Analytics Project

This GitHub repository is a Python Data Analytics project from an online course provided by IBM called Data Science Professional. In this project, dataset related to the average housing price and school ratings among the venues registered in the app called Foursqaure.

What is Foursquare?

It is a social location service that provides users to explore the location around the world. The app enables users to download it through iPhone, BlackBerry, or Android devices and then connects their account to other social media accounts.
Foursquare API itself is a RESTful set of addresses to which developers can send requests so that they have nothing to download onto their server and it just allows developers to interact with the Foursquare platform. See Details

Recommended Steps

1. Go to the GitHub repository
2. Go to "Final Report.pdf"
3. Read and understand the report
4. Download the file "Segmenting and Clustering Neighborhoods in Toronto_FINAL.ipynb"
5. Install Anaconda from the below link: Anaconda Download URL
6. Download Jupyter Notebook in Anaconda
7. Run the .ipynb file you just downloaded from Jupyter Notebook

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Kaggle Data Analytics Samples

This GitHub repository takes public datasets provided by Kaggle and shares the results of data analysis using Python. It is recommended to run each file as a .ipynb extension in Jupyter Notebook.

Recommended Steps

1. Install Anaconda - Download URL: https://www.anaconda.com/distribution/
2. Install Jupyter Notebook in Anaconda
3. Download .ipynb file from GitHub repository
4. Run the file in Jupyter Notebook

Reference

• Installing Jupyter Notebook
• Kaggle URL

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Microsoft Excel
Data Analytics

This is an output of a large dataset related to international student enrollment at Centennial College. I went through this with MS Excel and mostly used the Pivot table.

Details

• The 1'st bottom tap:

  It represents raw data including various attributes(columns)

• The 2'nd bottom tap:

  It is named 'Confirmed(No duplicated)' and is the dataset handled by data cleaning (removed duplicated records and filled a blank cell with proper values)

• The 3'rd bottom tap:

  It is named 'TOTAL_Recruit' is organized outcomes sorted by countries and school programs. It involves many meaningful results such as a subset of total students registered a course. Since it also includes the target number of students that management team expects in next semester, the data table helps determine how many more students will be enrolled in a particular program or from countries, or there are a large number of enrolled students, how much to reduce the number of target students for that program next semester

• The 4'th and 5'th bottom tap:

  It is named each 'By School' and 'By Team' are literally a summary of the data sorted by school programs and teams (category of countries)

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