ICT2013 Computational Thinking and Coding

Note to students- Please read and then delete/replace the writing in yellow and complete all parts.

Project Introduction

Describe all the essential information related to the background of your proposed Data Analysis. Minimum 100 words

- Description of the purpose of the project – Aim of the project.

Analysis OBjectives

List the questions (10 questions) of the Project. These questions should be relevant, by providing useful information that may help in taking decisions.

Refer to the Project brief for the types of questions.

Data Acquisition and Cleaning

Code to read the data from Excel / CSV / HTML.

Code to clean the unnecessary data, by removing, replace the missing data and renaming the columns.

Explanation of why data clean needed (for your data).

Data and Exploratory Analysis

Screen Shot of the code and its output with explanation of how your data analysis meet the project objectives and produced the required findings as per the project specification.

This part of analysis must include – Statistics,  Filter, Calculations, Group, Sort.

Screen Shot of the code and its output with short explanation about the data, sample rows, columns, total rows, and descriptions. This part is to get familiar with your data and summarize their main characteristics

Data Analysis - Visualization

Screen Shot of the code and its output with explanation of how your findings can be visualized.

This part of analysis must include – Code and output of the Plot Graph(s) with appropriate colour, title, x-axis and y-axis, with explanation of the findings. Use different types of appropriate charts to meet your objectives.

process to do the data analysis.

Executive Summary

Write a executive summary for minimum 200 words that summarize your findings and include what are the pro and cons of the data / system. Write your recommendations that could benefit / improve the process / system.

References

Include all the external references that you might have used. APA / MLA referencing style may be used. If you’re not aware of MLA or not fully confident in using it, refer to the library resources including librarians.