This assignment provides students with hands-on experience in using descriptive statistics and data visualization techniques to analyze and interpret a given dataset and to effectively communicate their insights and findings to a non-technical audience.

Instructions

Transform and engineer features on a provided dataset, then a brief report on the process and rationale behind your choices.

1. Dataset: You are provided with a dataset relevant to a specific industry or business domain (e.g., retail, healthcare, finance).
2. Tools: You may use your preferred tools or programming languages (e.g., Excel, Google Sheets, Python, R, Tableau) to analyze the data and create visualizations.
3. Assignment Requirements:
   1. Descriptive Statistics: Compute relevant descriptive statistics (e.g., mean, median, mode, standard deviation, correlation) for the dataset to summarize the main features and relationships between variables.
   2. Data Visualization: series of data visualizations (e.g., bar charts, line charts, scatter plots, heat maps) to explore patterns, trends, and relationships in the dataset. Choose appropriate visualization techniques based on the nature of the data and the insights you aim to convey.
   3. Interpretation and Analysis: Analyze the descriptive statistics and data visualizations to draw meaningful insights and conclusions about the dataset. Discuss any interesting patterns, trends, or relationships that you have discovered, as well as their potential implications for the industry or business domain in question.
   4. Communication: a brief presentation (10-15 slides) that clearly communicates your findings and insights to a non-technical audience. Use clear, concise language and visually appealing graphics to convey your message.
4. Submission:
   1. Submit your presentation, along with any supporting materials (e.g., code, spreadsheets, Tableau workbooks) used in the analysis and visualization process.
   2. Include a brief explanation of the data visualization techniques you used, the rationale behind your choices, and any challenges or limitations you encountered during the process.