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The goal is to perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that can help the retail business make informed decisions.

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diyapratheep/EDA-on-Retail-Sales-Data

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Data Science and Analysis project -1

Idea: Exploratory Data Analysis (EDA) on Retail Sales Data

Description:

In this project, I have worked with a dataset containing information about retail sales. The goal is to perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that can help the retail business make informed decisions.

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Key Concepts and Challenges:

Data Loading and Cleaning: Load the retail sales dataset.

Descriptive Statistics: Calculate basic statistics (mean, median, mode, standard deviation).

Time Series Analysis: Analyze sales trends over time using time series techniques.

Customer and Product Analysis: Analyze customer demographics and purchasing behavior.

Visualization: Present insights through bar charts, line plots, and heatmaps.

Recommendations: Provide actionable recommendations based on the EDA.

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The goal is to perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that can help the retail business make informed decisions.

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