分析优衣库销售数据,对整体销售情况进行可视化分析. #Python #Jupyter Notebook
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Updated
Mar 24, 2022 - Jupyter Notebook
分析优衣库销售数据,对整体销售情况进行可视化分析. #Python #Jupyter Notebook
we can say this project about the exploratory analysis with supermarket dataset.
This Black Friday data analysis project examines customer behavior, sales trends, and purchasing patterns to optimize marketing strategies, inventory management, and pricing, driving increased revenue and customer engagement.
Welcome to the Sales Data Analysis & Forecasting project! 🚀 This repository showcases my data analysis skills through exploratory data analysis (EDA), data cleaning, and visualization of sales and customer feedback data. The goal is to extract actionable insights to drive business decisions.
This project involves end-to-end data analysis of a bike shop service, aimed at analyzing key performance metrics such as hourly revenue, profit and revenue trends, seasonal revenue, and rider demographics.
This SQL-driven analysis of Walmart data focuses on identifying high-performing branches and products, while optimizing sales strategies using the dataset from Kaggle's Walmart Sales Forecasting Competition.
This project focuses on cleaning and preparing raw transactional data from a cafe using SQL. The dataset includes item purchases (e.g. coffee, cake, cookies) with details such as quantity, pricing, location, and payment method.
This project analyzes home sales data using PySpark and SparkSQL to extract insights, optimize query performance with caching, and enhance storage efficiency through data partitioning.
Building a data warehouse using PostgreSQL, including ETL processes, and data modelling.
Clean and analyze global Retail mart sales data using python & sql
Power BI project to visualize sales data of a supermarket.
Welcome to the Power BI Sales Dashboard repository! This project offers a dynamic analytics solution for in-depth sales data analysis. Explore monthly trends, compare sales in different currencies, and visualize city-level sales data. The dashboard allows dynamic filtering by users, currency, and territory for a personalized analytics experience.
An interactive Excel dashboard that provides insights into sales trends, customer behavior, and product performance. Ideal for store managers, sales teams, and analysts looking to monitor and understand business performance at a glance.
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