Leaving Certificate Project 2025

Report Page

Meeting the Brief to References.

Basic Requirements Page

Clean, Analyse and Chart.

Advanced Requirements Page

Higher Level Interactive Features.

How to Submit the Project

Link to Project Brief

“Data is the new oil. Like oil, data is valuable, but if unrefined it cannot really be used.”


Data is vitally important today because it helps people make smart decisions and come up with new ideas. Businesses use data to understand what customers want and how well they are doing, which helps them make better plans. In healthcare, data helps doctors give better treatments and predict health issues. Governments use data to spend money wisely and solve problems, which helps the economy and society grow. Being able to use and understand data is crucial for success in today's world.


Project Report Checklist

Checklists (90 marks total)

Coursework Report Checklist

0% Complete

The Report 5 marks

1. Meeting the Brief 27 marks

2. Investigation 10 marks

3. Plan and Design 15 marks

4. Create 25 marks

5. Evaluation 8 marks

References and Summary Word Count 0 marks

Requirement Checklist

0% Complete

Basic Requirements (HL and OL) 13 marks

Advanced Requirements (HL Only) 14 marks

The Task

For this project you are required to select a publicly available dataset from any reliable source that is relevant to your interests or an area that you feel is important for society. You will create an interactive information system to display analytics on your chosen dataset.

Datasets

Here are some useful links to websites where you can find publicly available datasets:

Basic Requirements (HL and OL)

  • 1. Collect and prepare the data
    • a. Select the dataset you will use.
    • b. Use Python to extract, clean and store the data that you will need for your project into a suitable format.
    • You will need to provide clear evidence of how you extracted, cleaned and stored this data set.
  • 2. Data analytics and visualisation
    • a. Use Python to carry out analytics on your data and to create at least two different basic visualisations (e.g., bar chart, line graph, pie chart) with each representing different key aspects of the dataset.
    • b. Ensure that each visualisation is clearly labelled with titles, axis labels, and legends where appropriate.
    • c. You should use Python data structure(s) such as lists, tuples or dictionaries to manage the data you will be analysing.
  • 3. Create a basic interactive information system interface
    • a. Develop a web-based interface to provide the public with information about your chosen dataset.
    • b. Display the data visualisations you have created in the information system.

Advanced Requirements (HL Only)

  • 1. Ensure that users can interact with the data visualisations on the information system
    • (e.g., hover to see details, click to filter data, change ranges, etc.).
  • Create a form or poll relating to your chosen dataset on your information system that collects and stores data from the users. This form must show evidence of the use of JavaScript.
    • a. The data collected should contain at least three different data types.
    • b. The data should be validated and stored in a database or file.
    • c. Some aspect of the collected data from all users should be summarised and displayed through the information system.
  • 3. Create a separate area on your information system that makes recommendations or helps inform decisions based on your analysis of your chosen dataset.

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Latest Updates

Videos for AR3

Recommendations from the data and a video to come on how to inform future decisions.

Posted on 10-03-2025
Videos for AR2

Validate the Form, Save to Firebase and Summarise from Firebase.

Posted on 07-03-2025
AI For all Advanced Requirements

Use the AI tool to create interactive feature for AR1, AR2 and AR3.

Posted on 16-02-2025
Report Updated

Removal of research question and wireframes added to Plan.

Posted on 15-01-2025
Report
Project Report

View the complete project report including all sections from Meeting the Brief to References.

Basic Requirements
Basic Requirements

Learn about the fundamental requirements including data collection, analytics, and visualisation.

Advanced Requirements
Advanced Requirements

Explore the advanced requirements for Higher Level students including interactive features.