Superstore dataset analysis tableau github. This project explores data visualization and analysis techniques using Tableau. A comprehensive Tableau project visualizing the US Superstore sales data. The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. Generated advanced strategy Tableau dashboards with quick/context/global filters, parameters,KPI, Level of Detail Function and calculated fields using the Sample Superstore Dataset for better analysis. Questions: Sales per month; Sales per state; Sales per profit bin; Sales percentage per region; Sales per category; Quantity - Discount Apr 7, 2020 · You signed in with another tab or window. This repository houses a collection of Tableau visualizations created using the Superstore dataset. It includes information on orders, returns, and customer details, covering various aspects such as: This Tableau project provides an in-depth analysis of sales data from a Superstore, aiming to uncover key insights and trends to support strategic decision-making. Data Visualisation. Description. These visualizations highlight trends and support data-driven decision-making in business metrics. md Creating a data dashboard. The Superstore dataset is a publicly available dataset that contains data on sales, profits, and other metrics for a fictional company that sells office supplies. - VolasIgor/tableau_superstore_analysis It contains SQL dump of Super Store Dataset provided by Tableau and various questions. Interactive dashboard with actions and filters is being created to analyse the sales and other metrics like profit , profit ratio, quantity etc. ipynb: Jupyter notebook containing the code for initial data exploration and preprocessing. 2) The visualization Dashboard on Tableau. This repository contains a Tableau project focused on analyzing the Superstore dataset to uncover retail insights including sales performance, customer behavior, and regional dynamics. - Global-Superstore-Analysis-Using-Tableau/Global Superstore Dataset Project. Saved searches Use saved searches to filter your results more quickly ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. Using Microsoft Excel, Power BI, Tableau, and SQL, this project aims to enhance decision-making by providing valuable insights into sales trends, customer behavior, and inventory levels. Sample super store Data: The data directory contains the Superstore dataset used in the analysis. pdf: Detailed report discussing the insights gained from the visualizations. - GitHub - Aytaj9/Superstore-Sales-Analysis: The objective of this project is to create a comprehensive Tableau dashboard utilizing the superstores sales dataset to provide key insights into sales trends, regional distribution, and product performance. Superstore Profit Analysis with Tableau Overview. You will work with a dataset that covers features like product name, categories, regions, cities, and a whole host of other variables. Use the Saved Sample – Superstore dataset. This Tableau project analyzes the Global Superstore dataset, presenting insights through two interactive dashboards: the Descriptive Dashboard and the Prescriptive Dashboard. About. - Tableau_Superstore_Visualization/Mid Course Summative Assessment - Superstore Dataset_Analysis _Tableau. Tableau Superstore Sales Analysis Dashboard. - rubythedev/superstore-return-analysis Analyze the SuperstoreUS database, using SQL and Tableau. This repository contains visualizations created with Tableau Desktop using the Superstore dataset. I needed to do a small calculation about product returns, which I was able to complete within the Tableau environment only. I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R All the tools will give us same output but we have to know when to use which tool. - GitHub - kshownish/Superstore-sales-analysis: A comprehensive Tableau project analyzing Superstore sales data to uncover trends, insights, and business opportunities. Instant dev environments With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. Dived deeply into the overall sales and profitability for the firm and determined crucial areas for enhancement with different plotting methods Book 3. - bskotwal123/superstore-sales-analysis This Tableau dashboard was created using the Sample Superstore dataset. This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. csv Tableau dashboard : Superstore. 2 - Join & Blend - Category & Sales Book 3. It includes sales analysis, geographic mapping, and dynamic visualizations through interconnected dashboards. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. The dataset contains three tables: Orders: Detailed transaction data including Sales, Profit, Quantity, and Customer details. Data Analysis Exercise using SQL, Tableau and Excel. xls: The Excel file containing the Global Superstore data. This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies. twbx) files containing the visualizations and dashboards. Analysis Tasks. Global Superstore. Oct 8, 2024 · This repository contains Tableau workbooks using the superstore_data dataset, showcasing retail analytics, interactive dashboards, and storytelling techniques. This is a comprehensive data analysis initiative designed to optimize store operations through advanced data analytics. This recreated dashboard offers an alternative perspective and visualization of data, tailored to specific requirements and insights. Subcategory Wise Profit; Profit Data analysis and Tableau. Usage of worksheets and dashboads. The main aim doing this project was to learn how we could get insights using the data and transform the data into visual representations. About this Specialization In 2020 the world will generate 50 times the amount of data as in 2011. - Cagnoro1/Superstores-Sales-Analysis-and-Dashboard The project was initiated with the objective of conducting a descriptive analysis of the superstore data to gain insights into its patterns and trends. Tableau Dashboard. The project analyzes the Superstore sales dataset in Tableau, showcasing key insights through a variety of chart types, custom calculations, and interactive features for an in-depth exploration of data trends and patterns. Project Objectives. Objective: Analyze and visualize sales and profit trends across regions. Data Source The dataset for this project is derived from the "Superstore" dataset, a popular sample data provided by Tableau. Sep 26, 2024 · This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. 4 - Join & Blend - Join = Category & Sales superstore-sales-analysis Analysis of sales performance using Tableau and the Superstore dataset. twb or . twbx: Tableau workbook file containing the interactive visualizations. The goal is to identify customer segments based on Time Series Analysis comprises of motheds for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. The visualization is a Tableau Story, so view the story points by clicking on the captions provided at the top of the visualization. There are no missing values or any irrelevant data types and values. It analyzes global sales, profitability & customer segmentation. Open Power BI Desktop and navigate to 'Get Data' option in the Home tab. Super-store Executive Sales Analysis Dashboard Overview. Customer Segments and their purchasing behavior. We look deeper at the state-specific sales by density mapping and identify that the highest sales (in dollars) are in California and New York. - SuchiVats/Retail-Analytics-Visualization-In-Tableau Download the Olist store dataset in Excel or CSV format. This report provides an in-depth analysis of the company's performance from 2019 to 2022, highlighting key areas of strength and potential opportunities for growth. The three categories all account for over 30% of sales The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. python data-science machine-learning anaconda numpy excel office pandas data-visualization data-analysis matplotlib arima furniture prophet statsmodels spyder itertools time-series-analysis time-series-forecasting superstore Use your newly acquired Tableau skills to analyse, manipulate, wrangle, and visualize the data for a huge Superstore franchise. Superstore is a sample sales data for creating the visualization in tableau. I would like to thank the creators of the dataset for providing a valuable resource for data analysis and machine learning research. The goal of this project is to uncover insights and trends within the data through interactive visualizations. README3. The primary data structure used for this analysis and modeling is the combination of two major sources: Superstore Data: Superstore purchase history and revenue data. It simulates sales data from a fictional superstore and typically includes various attributes such as product category, sales, profit, quantity sold, customer segment, region, and order date This repository features Tableau visualizations of the Superstore dataset, providing insights into sales performance, profit analysis, and customer segmentation. A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. Contribute to vijaynandwani/Superstore-Sales-Analysis development by creating an account on GitHub. Instant dev environments Analysis of Sales and Profit on Superstore dataset. The visualizations provide insights into sales patterns at various geogra Oct 24, 2024 · superstore-sales-analysis Analysis of sales performance using Tableau and the Superstore dataset Data Sources: Data is sources from the Superstore dataset, which includes information on sales, profits, and customer segments. Saved searches Use saved searches to filter your results more quickly This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies. This project is divided in two part: 1) The customer segmentation Analysis using SQL. These dashboards and charts for various datasets -Customer Analysis: Used demographic data and purchase history to segment customers and understand their buying behaviors. A tag already exists with the provided branch name. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. sql postgresql superstore-data-analysis sqlquestions This project aims to perform a in depth analysis of the Superstore sale database. As part of this analysis, data visualizations were created to identify the three worst-performing sub-categories in each region and quantify their performance compared to other sub-categories. Given the insights gained from the EDA, the superstore can choose to remove non-profitable products or invest in marketing efforts for products, segments and geographical areas that are driving their profit. 1. This project was made possible by the SampleSuperstore dataset, which is publicly available from the UCI Machine Learning Repository. Performing exploratory data analysis on the sample superstore dataset to identify weak areas that need attention and deriving business problems from the available data. Each dataset has been explored and visualized to uncover patterns, trends, and key insights. Analyzing the dataset to draw insights and presenting them on a dashboard using Tableau - Manas5789/Superstore-analysis-using-Tableau This is a sample superstore dataset, a kind of simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. - tableau_superstore_analysis/README. The dashboard link is provided for reference. Reload to refresh your session. This analysis considers the correlations between shipment preferences, customers, business segments, location, and product category, sales, and profit. Feb 12, 2024 · I performed my analysis in a Google Colab notebook and made the final dashboard on Tableau Public. 3 - Join & Blend - Category & Sales & Sales Target Book 3. I used the approach for the best dashboard design techniques in order to have a The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. - AmrMohamed319/Global This repository contains a Tableau dashboard that visualizes sales data for the USA using the Superstore dataset. The dataset required basic data cleaning and restructuring via Python. - GitHub - kellyav/superstore_us: Analyze the SuperstoreUS database, using SQL and Tableau. In this project I have selected the best chart for visualizing each question and explain each question based on the chart selection and its visualization. Use lambda functions to establish Recency/Frequency/Monetary columns Split columns In this project, I developed several visualizations and crafted a Tableau Story to convey discount-related insights effectively. Following are the links for the notebook and the dashboard: Github: Feb 23, 2023 · The aims of this project is to provide an in-depth analysis of this data and answer this following questions: What sub-categories generate the most/least revenue and profit? What products are Aug 7, 2024 · Welcome to the Superstore Data Visualization and Analysis Project repository! This repository contains a Tableau project for analyzing sales data from Superstore. This is a detailed analysis on customer behavior analysis. Superstore Dataset Analysis 📊🛍️. Leverage interactive features for actionable insights and strategic decision-making. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. You switched accounts on another tab or window. The project outputs top N and Bottom N categories sales and profit data of the superstore. md Creating a store analysis dashboard. The This repository contains a Tableau dashboard that visualizes sales data for the USA using the Superstore dataset. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. The dataset contains customer order details for a superstore over a period of four years, from 2018 to 2021. It contains SQL dump of Super Store Dataset provided by Tableau and various questions. Create a bullet chart with Category and Segment dimensions and Sales measures. The visualizations showcase various insights and trends within the data, providing valuable information for analysis and decision-making. Netflix Dataset - Viewing Trends and Ratings Tableau Superstore dataset is probably one of the most used datasets for analysis and visualization purposes. Import the data into Power BI. Using Tableau, Story has been created to solve the global superstore case study. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ As a business manager, try to find out the weak areas where you can work to make more profit. twb at main · vardaanupadhyay/ Nov 4, 2024 · This project analyzes return data from a fictional Superstore to identify the causes of high return rates. The analysis aims to Apr 6, 2023 · In this project, i created an interactive dashboard in tableau public to analyze the store performance. - Tableau-Superstore-visualization/README. The Superstore-Sales dataset provides detailed information on a company's sales. Welcome to the Superstore Dataset Analysis repository! This interactive platform offers a comprehensive exploration of the Superstore dataset, providing valuable insights into sales trends, customer behavior, and product performance. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. md at main · Ajcr007/Tableau-Superstore-visualization The Superset dataset used in this project was obtained from Tableau and converted from an XSLX file to a CSV file for easier handling. The dataset contains 3 tables: orders, returns, and people. You signed out in another tab or window. Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This database can be described by the following ER Diagram:. The dataset used includes sales records spanning a defined period, comprising various attributes such as product categories, customer segments, geographic regions, and sales About. - Rana23122/Superstore-Tableau-Visualization This project focuses on the analysis of the Superstore Sales dataset, aiming to uncover insights into customer spending patterns. Getting insights from SuperStore dataset and dashboards using Tableau. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. This Tableau Superstore Sales Dashboard is designed to provide a detailed analysis of the sales performance of a fictional superstore. This project analyzes the Superstore dataset using Tableau, aiming to uncover key insights and create interactive dashboards to support strategic decision-making and regional growth. - GitHub - apoorvm09/Superstore-Overall-Sales-Analysis-Dashboard-in-Tableau: Created a dashboard in Tableau for the famous superst • Column Names: Here are some important columns below: Order Id: Represents the Id for every product Order Data: Represents when the product was ordered Ship Date: Represents when the product was delivered Sales: Represents how much sale of product was done in particular region Quantity Open the file Global_Superstore_Sales_Story. Analysis of Tableau Superstore Sales Sample Data. They would like to understand which products, regions, categories and customer segments they should target or avoid. Tableau Workbook: The Tableau_Workbook directory includes the Tableau workbook (. The dataset includes a comprehensive record of transactions spanning multiple years and regions, offering insights into various aspects of the business, including product Mar 30, 2022 · Analysis from Heatmap. Each segment has a dedicated dashboard page that addresses the business intelligence questions raised. An exploratory analysis was conducted on the Super Store discount data. It consist the sales data of different categories and sub-categories for the states in USA. This project is about making the dashboards using the sample superstore dataset in the tableau. The project includes an interactive dashboard and a detailed story that provide insights into sales trends, product performance, and regional analysis. - Ajcr007/Tableau-Superstore-visualization In this project, I am working with a dataset of Superstore, aiming to answer 30 scenario-based questions through data visualization and analysis using Tableau. Superstore dataset is cleaned, pre-processed, analyzed and visualized using Tableau. Saved searches Use saved searches to filter your results more quickly This GitHub repository houses a comprehensive Tableau-based analysis of Superstore sales data, providing valuable insights into key metrics and trends. pbix'. Problem Statement : Global Superstore has been going through loss in the products sold. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. The Global Superstore dataset consist of 20 columns and 51,281 Data Visualization of Global Superstore dataset using Tableau Desktop - rishabhxshukla/Global-Superstore-Data-Analysis This repository contains Tableau workbooks using the superstore_data dataset, showcasing retail analytics, interactive dashboards, and storytelling techniques. Utilized Tableau visualization and the Python Data Stack and to conduct data analysis for a sales dataset in the Pandas and Matplotlib libraries. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. Time Series are widely used for non Tableau-SuperStore-Sales-Analysis -Background This project involves analyzing orders and sales data from SuperStore, a global retail chain specializing in office supplies. - AimanSahay/Tableau_Superstore-Sales This repository includes visualizations that explore key metrics such as sales performance, profit margins, regional distribution, and product categories. A comprehensive data analysis project on the Superstore dataset, focusing on sales, profit, and performance insights. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. This project was made to analyze the superstore data using data visualization tool named "Tableau". Categories and sub categories. Code. csv. Dataset: SampleSuperstore. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Special thanks to the Prodigy Infotech to provide me this internship opportunity to showcase my skills in EDA ,Data Visulaization In this project, I developed several visualizations and crafted a Tableau Story to convey discount-related insights effectively. - WuCandice/Superstore-Sales-Analysis To run the project 1 - Download Tableau Desktop 2 - Download the playstore dataset 3 - Just double click on the Tableau Workbook named 'PlayStore_Tableau_Analysis. This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. This report analyzes various aspects of the dataset to extract meaningful insights. csv). Detailed Segments by sales and profit. - LMSharma/Analytics-SuperStore-SQL A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. A table was created by performing a query (shown in the file SQL query). Exploratory Analysis: Through dynamic visualizations and filtering options, users can delve into different dimensions of the data such as sales by region, product category, customer segment, and more. RFM modeling was done by manually assigning customer loyalty groups to various combinations of R/F/M values ranked from 1-4 (4 being the highest). The "Superstore Dashboard Recreation" project is an ambitious endeavor to recreate the Superstore Dashboard originally found in Tableau. Global Superstore Data Visualization Using Tableau Topics dashboard data-visualization data-analysis tableau superstore profit-loss product-performance executive-overview Oct 14, 2024 · The dataset used for this analysis is the Sample Superstore dataset, which includes sales, profit, order, and customer data from 2014 to 2017 across different regions in the United States. The dashboard provides insights into sales performance, order details, and profit analysis. pdf at main · mnnit3007/Tableau_Superstore_Visualization Created a dashboard in Tableau for the famous superstore dataset. Report. Data Visualization, Data Analysis, Tableau Objective Create a tableau dashboard that will show the superstore's current and forecasted financial and operational performance. This electric blue and black dashboard illustrates sales for each year in the Superstore data set, and the user may select particular years for further investigation. README2. twb. Key Features Interactive Dashboards: Engaging and interactive dashboards are designed to provide users with a comprehensive view of various aspects of sales performance. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Select the file format and location of the Olist store dataset. Find and fix vulnerabilities The dataset for this project was organized into a SQL-based data warehouse with multiple tables for customer data, sales records, product information, and regional market data. Tableau Dashboard Screenshots are in present in Superstore Profit Analysis. With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. Color code the chart to identify Categories and Segments that are above or below target. The dashboard is interactive and allows users to filter data by year and region, while dynamically Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. Data sources: Data is sourced from the Superstore dataset, which includes information on sales, profits, and customer segments. Time series forecasting is the use of a model to predict future values based on previously observed values. The dashboard utilizes Tableau, a powerful data visualization tool, to offer insights into key metrics such as Sales and Profit distribution by state, Monthly Sales by Segment, and Total Sales by Location and This Tableau dashboard analyzes sales, profit, and customer behavior trends using the Sample Superstore dataset. md at main · VolasIgor/tableau_superstore_analysis The dataset of Global Superstore typically includes information such as customer demographics, product details, sales transactions, shipping details, and geographic information. A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. Apr 18, 2024 · Dataset is fairly small and after giving the dataset a quick look in Power Query, I decided to work with Excel and Tableau only for this dataset. S. During the inspection process, a duplicate entry was identified and removed for accuracy. html in your browser to view the visualization. The sample dataset used is superstore. Write better code with AI Security. Feb 17, 2023 · The data for this analysis was sourced from the Sample Superstore dataset in tableau. Superstore Dataset - Sales and Profit Analysis 3. The analysis was performed using MySQL and complemented using Tableau to create an interactive dashboard for data visualization. md at main · harshaanth/Superstore-Discount-Analysis-and-Storytelling-Visualizations-in Demonstrates various Tableau functionalities using Superstore Dataset - gsunidhi/Tableau_Superstore-Data-Analysis Tableau Projects for data analysis, data analytics and data visualaization on different data sets data-science data-visualization data-analysis tableau tableau-desktop tableau-workbooks tableau-public tableau-dashboards This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. Find and fix vulnerabilities Codespaces. The dashboard provides insights into different segments of the store, including: Sales and Profit Trends across regions and product categories. twb' and refresh the workbook using the dataset. pdf. Includes data exploration, cleaning, aggregation, and top/bottom product and customer analysis. Superstore Sales & Profit Analysis - Tableau. The analysis involves data cleaning, exploration, and visualization using Python, as well as SQL queries and Tableau. This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ Superstore, a fictional retail entity in the U. The dataset Analysis of the sales performance using tableau and the superstore dataset. Zomato Dataset - Bengaluru Restaurants Analysis 2. The well-organized structure, clear guidelines, and thoughtful visualizations ensure an informative exploration of the dataset. You signed in with another tab or window. Usage To run the project: Open the Power BI file 'Healthcare_Analysis. The main reason which leads to loss is Discount as if some areas lead to loss due to more discounts, and some areas lead to fewer sales due to fewer discounts, hence it needs to be improved. And 75 times the number of information sources (IDC, 2011). This repository contains visualizations and insights derived from three distinct datasets using Tableau. The project includes the following elements in the Tableau workbook "A7Starter Stories F2024": - harshaanth/Superstore-Discount-Analysis-and-Storytelling-Visualizations-in-Tableau Contribute to Vikram1812/Sample-SuperStore-Analysis-Using-Tableau development by creating an account on GitHub. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. , specializes in furniture, office supplies, and technology products. This dataset encompasses a wide range of information, including order specifics, geographical data, and product-related data. This rich dataset enables analysts to perform a wide range of analyses, including: Sales Analysis: Analysts can examine Superstore Analytics project using Tableau! In this project, we explore and analyze the Superstore dataset to derive valuable insights and create informative visualizations. Using Tableau, visualizations highlight patterns in returns by product category, region, and season, leading to actionable recommendations for minimizing returns and enhancing operational efficiency. This dashboard is a Power BI implementation in progress - IQisFisco/Superstore-Dashboard-in-PowerBI Created a superstore dashboard showing the profit, profit ratio, revenue and quantity in various years of a superstore. Instant dev environments This is a project in which I have Analyzed and visualized Global Superstore 2016 Dataset. Created different visualizations using calculated fields, parameters & charts as the dashboard. The dataset was carefully examined for null values, and any identified null values were either corrected or removed to ensure data integrity. Explore sales and profit distribution by state, track monthly sales by segment, and assess total sales by location and manager. The project includes the following elements in the Tableau workbook "A7Starter Stories F2024": - Superstore-Discount-Analysis-and-Storytelling-Visualizations-in-Tableau/README. In this project, I've implemented data visualizations utilizing a variety of charts and graphs in Tableau from a superstore dataset (superstore. - JC-BenAvid/sales_bi_analysis_dashboards This project is a comprehensive analysis of the superstore sales dataset using Tableau. This project focuses on creating a Tableau Dashboard for Executive Sales Analysis using the Superstore dataset. qptcqrq eoprqar qmof ntcmrc wqmban lqrll arkr zclt bcjny cfmfuw