Hi$,$ I need your help to write a case study regarding statistical analysis of businees data.

Assuming You are a data scientist hired by a retail company, "SmartMart," which operates a chain of grocery stores. SmartMart has been in the market for several years and has a significant customer base. However, the company is facing challenges in optimizing its operations and maximizing profits. As a data scientist, your task is to analyze the provided dataset and identify areas where data science techniques can be applied to create business value for SmartMart.

The dataset provided contains information on SmartMart's sales transactions over the past year. It includes data such as:

Date and time of each transaction

Customer ID

Product ID

Quantity sold

Unit price

Total transaction amount

Store ID

Tasks:

Apply appropriate statistical analysis techniques to extract valuable information from the dataset. This may include but is not limited to:

a$.$ Descriptive statistics

b$.$ Correlation analysis

c$.$ Hypothesis testing

d$.$ Time$-$series analysis

$$ Identify key findings and insights from your analysis that can help SmartMart make data$-$driven decisions to optimize its operations and increase profitability.

$$ Present your analysis results in a clear and concise manner, including visualizations and explanations where necessary.

$$ Provide recommendations on specific strategies or actions that SmartMart can take based on your analysis

Deliverables:

$1.$ Written report documenting your analysis process, findings, and recommendations containing Python code$/$scripts used for data analysis, along with

comments explaining the code logic and methodology and also Visualizations $($e$.$g$.,$ plots, charts$)$ supporting your analysis and findings.

Thank you