Exploratory Data Analysis (EDA) GPT

Exploratory Data Analysis Summary
Dataset Overview:
The dataset, encompassing retail sales data in the electronics industry, consists of 10,000 entries across 15 columns. It combines transactional records and customer demographics spanning three years. The dataset captures diverse information including sales figures, product categories, customer demographics, purchase dates, and promotional campaign details.
Key Findings:
Data Distribution:
Sales figures exhibit a right-skewed distribution, with a few high-value transactions potentially indicating corporate bulk purchases.
Customer age follows a normal distribution, with a significant portion of buyers aged between 25-35 years.
Feature Analysis:
Strong correlations exist between purchase frequency and customer spending habits, notably higher spending with increased purchase frequency.
Product categories such as smartphones and gaming peripherals significantly impact overall sales, especially during promotional campaigns targeting younger demographics.
Data Cleaning:
Missing values in demographic information were addressed through imputation techniques.
Outliers in sales figures were detected and flagged for further investigation.
Visualization:
Histograms illustrated the distribution of sales figures and customer age.
Scatter plots highlighted the relationship between purchase frequency and spending habits.
Bar charts depicted sales performance across different product categories.
Conclusion:
The EDA identified significant trends, correlations, and outliers within the dataset. Promotional campaigns targeting younger demographics, particularly focused on smartphones and gaming products, yielded higher sales. Outliers in high-value transactions hint at potential corporate bulk purchases, warranting a deeper understanding.
Recommendations:
Utilize predictive modeling to forecast sales during upcoming promotional periods, considering demographic and product category preferences.
Apply clustering techniques to segment customers based on spending habits and demographics for targeted marketing strategies and product offerings.
This summary encapsulates the hypothetical insights derived from the EDA process on the described dataset. The actual EDA report would delve deeper into statistical analyses, visual representations, and actionable insights based on the specific data and analysis conducted.