Exploratory Data Analysis (EDA) of Coffee Shop Sales using Python

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This project presents an interactive Coffee Sales Dashboard built using Python to analyze and visualize sales data from a coffee shop. The dashboard provides clear insights into product performance, customer preferences, and revenue trends.

This project provides a comprehensive analysis of coffee shop sales data, focusing on customer purchasing patterns, product performance, and revenue generation over a specified time period. Developed using Microsoft Excel

Discover the future of industrial sales and planning with the Coffee MR Power App sample. This scenario leverages the mixed reality (MR) capabilities of Power Apps, integrated with Business Central's comprehensive data and business logic.

Analyzing sales data from a coffee shop reveals valuable insights into purchasing trends and product performance. The study includes visualizations that depict sales patterns across different product categories, product types, and income generation.

📊 In today’s retail market, data-driven insights are essential. I built a Power BI dashboard analyzing 118.94K Nescafe coffee sales (April 2023) to uncover trends in product performance, store contributions, and customer behavior. The dashboard goes beyond reporting– it provides actionable intelligence for different stakeholders.

The Coffee Bean Sales Dataset offers a multifaceted exploration of the thriving coffee industry, providing a comprehensive view of sales, customer profiles, and coffee product details. This rich dataset is a gateway to understanding consumer behavior, optimizing product offerings, and improving business strategies in the world of coffee.

The Coffee Shop Sales Project incorporates 2 major skills - SQL and Power-BI to retrieve relevant data from the a large database using SQL, and visualize the data with the help of Power BI as per the KPIs and necessary business requirements.

Interactive coffee shop sales dashboard built with Power BI for data analysis & visualization.

Interactive coffee shop sales dashboard built with Power BI for data analysis & visualization.

Power BI dashboard analyzing coffee shop sales data to identify revenue trends, peak sales hours and product demand insights.

This project focuses on analyzing coffee sales data to uncover patterns in customer behavior, product performance, and overall sales trends

Coffee Shop Sales Analysis Dashboard built in Microsoft Excel using Power Query, Pivot Tables, and Visualizations. This project uncovers insights from real-world coffee shop data including peak hours, sales distribution, top-selling products, store footfall, and more

This project provides an in-depth analysis of coffee sales data using SQL to extract insights on sales performance, customer trends, and product preferences. The analysis includes key metrics such as total sales, regional sales distribution, and customer behavior.

Developed an interactive Coffee Sales Dashboard in Power BI, analyzing sales performance, customer behavior, and regional trends. Features include sales overviews, regional maps, product performance metrics, and customer insights. The dashboard helps stakeholders make data-driven decisions.

The Monday Coffee Expansion Analysis project utilizes SQL to analyze sales data and identify the top three cities in India for opening new coffee shop locations. By leveraging database queries, the project provides data-driven insights to support business expansion decisions. This analysis helps increase profitability for Monday Coffee. 🚀

Project Overview: This project focuses on analyzing and visualizing coffee shop sales data through an interactive Power BI dashboard. The dashboard helps uncover key insights such as total sales, orders, product performance, and trends over time.

This dashboard provides insights into coffee shop sales, highlighting top-selling products, peak order hours, store performance, and customer preferences. It features key metrics like total transactions, average orders, and category distribution for data-driven decisions.

Coffee sales data analysis in Excel

Comprehensive analysis of coffee shop sales utilizing Pandas for data cleaning and exploratory data analysis (EDA), complemented by Streamlit for creating interactive data visualization dashboards.

Predicts coffee sales based on historic data.

"Coffee shop sales analysis in Ankara. SQL, Tableau, Python, Data Analytics"

Data Analysis Sales - Coffee Shop | Analyzing sales trends, payment methods, and top-selling drinks using Python (Pandas, Matplotlib, Seaborn).

Welcome to the Analytics Coffee. Discover the art of data cleansing, analysis, and visualization as I presented insights from coffee sales data into an interactive Excel dashboard

This project contains my excel project on analysis of sales of a coffee shop real time data.

Creating a coffee sales analysis dashboard with Power BI and SQL, including data cleaning, KPI tracking, and interactive visualisations.

This is a Coffee Sales Dashboard I developed using Excel. The project involved data cleaning and consolidation to organize raw sales data into a structured format. Using Excel's data analysis tools, I created an interactive dashboard that visualizes key metrics such as total sales, product performance, and sales trends.

📊 Coffee Shop Sales Analysis: Data cleaning, transformation, and visualization using Excel. Includes pivot tables, VLOOKUP, IF conditions, and interactive slicers.