You can download the user manual as a PDF here.
Introduction
TIP
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Project Website
Introduction
Low-Code Data Analysis (LCDA) is a tool designed to simplify data analysis by minimizing programming requirements. With LCDA, users can analyze large data sets quickly and easily, without the need for writing complex code. The platform features a user-friendly interface that enables users to drag and drop data into the analysis and visualization results, making it an ideal tool for beginners in artificial intelligence, data scientists, business analysts, and anyone seeking to derive insights from data.
The LCDA platform was developed with the aim of addressing the challenges faced by beginners when dealing with the complicated terminologies associated with artificial intelligence. The LCDA team, comprised of members who took an [introductory course in Artificial Intelligence](Module Catalogues) during their undergraduate Year 1 studies, understands the difficulty of learning AI from scratch. To make the process less intimidating for beginners, the team decided to create a website that allows users to explore the world of AI without having to install any software. Currently, the platform is in the demo stage and is continuously being improved to provide a better user experience.
How It Works
LCDA is a Python-based web application that is built using Flask, making it easily accessible to users through their web browser. Python was chosen as the programming language for this project due to its extensive library of artificial intelligence and data science related packages. This allowed the team to efficiently achieve the project's goals within a limited development timeline.
To ensure that users can access the LCDA platform with ease, the team has implemented various security measures. The platform uses SSL encryption to secure user data during transmission and uses a secure login process to prevent unauthorized access. Additionally, the platform is regularly updated with the latest security patches to ensure that users are protected against any potential vulnerabilities.
Why Not ...?
SPSS Statistics
SPSS is a widely used data analysis software with an excellent set of products. While SPSS can perform far more specialized functions than LCDA, it requires a fee for usage, and its interface can be complex, making it challenging for beginners to use. In contrast, LCDA prioritizes user-friendly design and intuitive functionality, making it easy for beginners to get started with data analysis.
Python
Python is a popular programming language for artificial intelligence and data science, and its open-source nature makes it easily accessible. However, for beginners who are unfamiliar with programming, installing and using a large number of Python AI-related packages can be overwhelming, let alone mastering the use of functions in the library. LCDA is a Python-based web application that simplifies data analysis by packaging common data analysis algorithms, providing visualization tools, and offering user-friendly result pages. This reduces the cost of trial and error for beginners and enables them to learn new concepts through exploration.
Compared to SPSS and Python, LCDA offers an easy-to-use platform that combines the benefits of both. It provides a low-code solution that simplifies data analysis without sacrificing functionality, making it an ideal choice for beginners, data scientists, business analysts, and anyone looking to derive insights from data with ease.