Superstore dataset analysis tableau github. xlsx : The dataset used for this project.

Superstore dataset analysis tableau github 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 This repository contains visualizations and insights derived from three distinct datasets using Tableau. Working on the Superstore project provided valuable insights and practical experience in data analysis, visualization, and business decision-making. This repository links to multiple sales, profit, and business forecast dashboards that use the Superstore data set from Tableau. Zomato Dataset - Bengaluru Restaurants Analysis 2. You will work with a dataset that covers features like product name, categories, regions, cities, and a whole host of other variables. Data sources: Data is sourced from the Superstore dataset, which includes information on sales, profits, and customer segments. Note that you can use either Tableau Public or Desktop to find the answer. The goal of this project is to uncover insights and trends within the data through interactive visualizations. You signed out in another tab or window. 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. You signed in with another tab or window. It analyzes global sales, profitability & customer segmentation. Dashboard URL: Tableau Link Analyzed sales performance by purchase date and shipping status, identifying trends in early, late, and on-time shipments across different quarters and years. The dataset contains three tables: Orders: Detailed transaction data including Sales, Profit, Quantity, and Customer details. - VolasIgor/tableau_superstore_analysis. 2 - Join & Blend - Category & Sales Book 3. Here I am aiming at (1) make use of as many features in Tableau as possible to build a dashboard, and (2) eventually, tell a story from the dataset. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. twbx: The Tableau Workbook containing the work done Global Superstore Data Visualization Using Tableau Topics dashboard data-visualization data-analysis tableau superstore profit-loss product-performance executive-overview This repository houses a collection of Tableau visualizations created using the Superstore dataset. - rubythedev/superstore-return-analysis Using Tableau, Story has been created to solve the global superstore case study. It includes sales analysis, geographic mapping, and dynamic visualizations through interconnected dashboards. Multiple visualization styles are demonstrated over various color schemes: sunburst chart, area chart, donut charts, mapping, etc. This project performs an in-depth analysis of the US Superstore 2015 dataset using Tableau. The Global Superstore dataset consist of 20 columns and 51,281 This project explores data visualization and analysis techniques using Tableau. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. - LMSharma/Analytics-SuperStore-SQL A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. Created by Ryan Sleeper, this workbook aims to train users on design, data visualization strategy, and how to use Tableau to get the most out of any data set. 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. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Netflix Dataset - Viewing Trends and Ratings This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. Data analysis and Tableau. You switched accounts on another tab or window. 4 - Join & Blend - Join = Category & Sales Analysis of the sales performance using tableau and the superstore dataset. Here are the key learning outcomes: I developed a strong understanding of data preparation techniques, ensuring data integrity by cleaning and Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. Explored profitability, quantity sold, and total sales for various subcategories like "Mouse," "Xbox," and "Puzzle" to identify high-performing and Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. This project uses the popular data visualization tool, Tableau, to create an interactive dashboard using the Superstore dataset. 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. superstore-sales-analysis Analysis of sales performance using Tableau and the Superstore dataset. Problem Statement : Global Superstore has been going through loss in the products sold. The analysis aims to provide insights into the store’s performance, identifying trends, patterns, and 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. Use Sample - Superstore. - bskotwal123/superstore-sales-analysis Dec 2, 2024 · Sample-Superstore. Aug 26, 2019 · This project evaluates the Sample–Superstore dataset that comes with Tableau. Superstor_Analysis_project. 1. This Tableau dashboard was created using the Sample Superstore dataset. Reload to refresh your session. xlsx : The dataset used for this project. The dashboard provides insights into average sales, average profit, and average discount, as well as top-performing product categories and segments. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. Each dataset has been explored and visualized to uncover patterns, trends, and key insights. The dataset 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 dataset includes order details, anonymized customer information, product specifics, and financial metrics. 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. Superstore Dataset - Sales and Profit Analysis 3. Additionally, the Saved searches Use saved searches to filter your results more quickly This repository contains Tableau workbooks using the superstore_data dataset, showcasing retail analytics, interactive dashboards, and storytelling techniques. xls data. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. The dashboard is interactive and allows users to filter data by year and region, while dynamically adjusting based on selected metrics. Superstore Analytics project using Tableau! In this project, we explore and analyze the Superstore dataset to derive valuable insights and create informative visualizations. - Ankitkumardatawiz/Sup A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. If you are using Tableau Desktop, the Sample Superstore dataset should be present in the Saved Data sources and will also be present in your My Tableau Repository folder on your local machine. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. This report analyzes various aspects of the dataset to extract meaningful insights. - Ajcr007/Tableau-Superstore-visualization It contains SQL dump of Super Store Dataset provided by Tableau and various questions. The dataset includes information on sales, profit, quantity, and various other attributes across different regions, categories, and sub-categories. This project analyzes return data from a fictional Superstore to identify the causes of high return rates. 3 - Join & Blend - Category & Sales & Sales Target Book 3. Use your newly acquired Tableau skills to analyse, manipulate, wrangle, and visualize the data for a huge Superstore franchise. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. Dived deeply into the overall sales and profitability for the firm and determined crucial areas for enhancement with different plotting methods Book 3. Using Tableau, visualizations highlight patterns in returns by product category, region, and season, leading to actionable recommendations for minimizing returns and enhancing operational efficiency. xqcnhr dknhr bbvvp qhl phufno xpyzmz wjbarlfp wjmyhh puzn uaf