Sales Analysis On Superstore Data Using Exploratory Data Analysis In This project performs a detailed exploratory data analysis (eda) on a real world retail dataset from a global superstore. the aim is to uncover valuable business insights by analyzing sales, profits, regions, product categories, and customer segments. We thought that the best place to start answering these questions would be the dataset of superstore. this dataset provides information related to sales orders.
Sales Analysis On Superstore Data Using Exploratory Data Analysis In Today we will discuss a very basic topic of exploratory data analysis (eda) using python and also uncover how simple eda can be extremely helpful in performing preliminary data analysis. Key tasks undertaken include data quality check, exploratory data analysis (eda), statistical analysis, and visualization of trends and patterns within the dataset. the main objective of this project is to extract actionable insights from the dataset to drive business decisions and strategies. This project is a beginner friendly exploratory data analysis (eda) of the superstore sales dataset using python. analyze sales data to uncover patterns, trends, and actionable business insights. technology category had the highest sales. copiers and phones were the most profitable sub categories. This report presents an exploratory data analysis (eda) of superstore sales data, a fictitious retail company that closely resembles the operational characteristics of real world retailers.
Sales Analysis On Superstore Data Using Exploratory Data Analysis In This project is a beginner friendly exploratory data analysis (eda) of the superstore sales dataset using python. analyze sales data to uncover patterns, trends, and actionable business insights. technology category had the highest sales. copiers and phones were the most profitable sub categories. This report presents an exploratory data analysis (eda) of superstore sales data, a fictitious retail company that closely resembles the operational characteristics of real world retailers. Conduct an exploratory data analysis by analysing super store sales data and identifying opportunities to boost business growth. In this video, we'll walk you through the steps needed to analyze sales data from a superstore. we will be using python to perform an exploratory data analysis to uncover insights into the. This project involves an exploratory analysis of superstore sales data to uncover insights into customer behavior, regional performance, profitability trends, and product segmentation. the project concludes with the creation of an interactive tableau dashboard for business visualization. As an intern at the sparks foundation, i had the exciting opportunity to work on a project involving exploratory data analysis (eda) using tableau. the project focused on analyzing the.
Sales Analysis On Superstore Data Using Exploratory Data Analysis In Conduct an exploratory data analysis by analysing super store sales data and identifying opportunities to boost business growth. In this video, we'll walk you through the steps needed to analyze sales data from a superstore. we will be using python to perform an exploratory data analysis to uncover insights into the. This project involves an exploratory analysis of superstore sales data to uncover insights into customer behavior, regional performance, profitability trends, and product segmentation. the project concludes with the creation of an interactive tableau dashboard for business visualization. As an intern at the sparks foundation, i had the exciting opportunity to work on a project involving exploratory data analysis (eda) using tableau. the project focused on analyzing the.
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