Objective: The objective of this assignment is to explore an open-source dataset from the Census (Census of Population (statcan.gc.ca)), apply statistical approaches to analyze the data, and visualize the findings. Additionally, students will identify potential research questions, describe the beneficiaries of the dataset, and propose data cleaning, integration, and transformation techniques.

Instructions:

Introduction: Provide a brief overview of the assignment's objectives and its relevance to business analytics.

Dataset Selection: Select a dataset from the Census open-source datasets that interests you. Include a description of the dataset, variables, and columns it contains.

Data Cleaning, Integration, and Transformation: Identify and describe the possible data cleaning, integration, and transformation techniques that are required for the dataset. Explain how these techniques align with the concepts and methods discussed in the classroom.

Data Exploration: Summarize the dataset using statistical measures learned in the class based on the dataset's variables. Present descriptive statistics, such as mean, median, standard deviation, and correlation coefficients, to gain insights into the data.

Data Visualization: Use Excel or any other tool to visualize the dataset. Create five meaningful and informative graphs that effectively represent the data. Label and describe each visualization clearly, providing your understanding and insights derived from them.

Research Questions or Hypotheses: Based on your exploration of the dataset, identify at least two potential research questions or hypotheses that could be further explored. Justify why these questions or hypotheses are relevant and how they can contribute to understanding the dataset.

Beneficiaries of the Dataset: Describe who (company, organization, or persona) will benefit from analyzing this dataset. Explain the potential applications or value that the dataset can provide to the identified beneficiaries.