Superstore dataset analysis tableau github. - AmrMohamed319/Global.

Superstore dataset analysis tableau github The goal of this project is to uncover insights and trends within the data through interactive visualizations. Saved searches Use saved searches to filter your results more quickly This Tableau project analyzes the Global Superstore dataset, presenting insights through two interactive dashboards: the Descriptive Dashboard and the Prescriptive Dashboard. 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. Analysis of Tableau Superstore Sales Sample Data. A table was created by performing a query (shown in the file SQL query). xls: The Excel file containing the Global Superstore data. 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. xls data. This project explores data visualization and analysis techniques using Tableau. 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. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. This Tableau dashboard analyzes Superstore Sales and Profit Data to uncover critical business insights. - Ankitkumardatawiz/Sup A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. twbx) files containing the visualizations and dashboards. Following are the links for the notebook and the dashboard: Github: Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. - VolasIgor/tableau_superstore_analysis Contribute to mahsal123/Sample_superstore-dataset-analysis development by creating an account on GitHub. Interactive Dashboards: Engaging and interactive dashboards are designed to provide users with a comprehensive view of various aspects of sales performance. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. Find and fix vulnerabilities Codespaces. It analyzes global sales, profitability & customer segmentation. Superstor_Analysis_project. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Tableau Workbook: The Tableau_Workbook directory includes the Tableau workbook (. The dashboard provides insights into average sales, average profit, and average discount, as well as top-performing product categories and segments. The Global Superstore dataset consist of 20 columns and 51,281 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. About. Data Source The dataset for this project is derived from the "Superstore" dataset, a popular sample data provided by Tableau. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. The dashboard provides insights into sales performance, order details, and profit analysis. This project performs an in-depth analysis of the US Superstore 2015 dataset using Tableau. superstore-sales-analysis Analysis of sales performance using Tableau and the Superstore dataset. twb or . Zomato Dataset - Bengaluru Restaurants Analysis 2. The project includes the following elements in the Tableau workbook "A7Starter Stories F2024": - Superstore-Discount-Analysis-and-Storytelling-Visualizations-in-Tableau/README. Analysis of the sales performance using tableau and the superstore dataset. The dashboard includes multiple interactive pages to explore various key performance indicators (KPIs), geographical trends, and market dynamics. This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. The dataset contains three tables: Orders: Detailed transaction data including Sales, Profit, Quantity, and Customer details. The analysis aims to provide insights into the store’s performance, identifying trends, patterns, and Data Analysis Exercise using SQL, Tableau and Excel. ipynb: Jupyter notebook containing the code for initial data exploration and preprocessing. Code. It includes information on orders, returns, and customer details, covering various aspects such as: Data: The data directory contains the Superstore dataset used in the analysis. 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. pdf: Detailed report discussing the insights gained from the visualizations. Problem Statement : Global Superstore has been going through loss in the products sold. 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. You switched accounts on another tab or window. twbx: Tableau workbook file containing the interactive visualizations. 1. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. First, I imported my data into BigQuery. Data sources: Data is sourced from the Superstore dataset, which includes information on sales, profits, and customer segments. This Tableau dashboard was created using the Sample Superstore dataset. Created a dashboard in Tableau for the famous superstore dataset. In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Working on the Superstore project provided valuable insights and practical experience in data analysis, visualization, and business decision-making. - SuchiVats/Retail-Analytics-Visualization-In-Tableau 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. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. Data Visualization, Data Analysis, Tableau Objective Create a tableau dashboard that will show the superstore's current and forecasted financial and operational performance. Each dataset has been explored and visualized to uncover patterns, trends, and key insights. 2) The visualization Dashboard on Tableau. I used SQL to clean the data. The visualizations showcase various insights and trends within the data, providing valuable information for analysis and decision-making. Use Sample - Superstore. This repository links to multiple sales, profit, and business forecast dashboards that use the Superstore data set from Tableau. 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. md at main · harshaanth/Superstore-Discount-Analysis-and-Storytelling-Visualizations-in This project performs an in-depth analysis of the US Superstore 2015 dataset using Tableau. 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. 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). - Ajcr007/Tableau-Superstore-visualization It contains SQL dump of Super Store Dataset provided by Tableau and various questions. Data Visualisation. Global Superstore. For this project, I used Google BigQuery. xlsx : The dataset used for this project. - richardp The dataset required basic data cleaning and restructuring via Python. - rubythedev/superstore-return-analysis Designed Tableau dashboards to analyze sales, profit, and customer trends using the "USA Superstore" dataset. 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. Data Visualization of Global Superstore dataset using Tableau Desktop - rishabhxshukla/Global-Superstore-Data-Analysis This project analyzes return data from a fictional Superstore to identify the causes of high return rates. You signed out in another tab or window. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. Multiple visualization styles are demonstrated over various color schemes: sunburst chart, area chart, donut charts, mapping, etc. 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. This is a project in which I have Analyzed and visualized Global Superstore 2016 Dataset. Report. Superstore Dataset - Sales and Profit Analysis 3. twb at main · vardaanupadhyay/ 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. Utilized advanced analytics and forecasting for actionable insights and strategic planning. Note that you can use either Tableau Public or Desktop to find the answer. 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. . You signed in with another tab or window. Explored profitability, quantity sold, and total sales for various subcategories like "Mouse," "Xbox," and "Puzzle" to identify high-performing and Aug 26, 2019 · This project evaluates the Sample–Superstore dataset that comes with Tableau. This is a detailed analysis on customer behavior analysis. Using Tableau, Story has been created to solve the global superstore case study. This repository contains visualizations created with Tableau Desktop using the Superstore dataset. -Customer Analysis: Used demographic data and purchase history to segment customers and understand their buying behaviors. Contribute to vijaynandwani/Superstore-Sales-Analysis development by creating an account on GitHub. This project uses the popular data visualization tool, Tableau, to create an interactive dashboard using the Superstore dataset. 3 - Join & Blend - Category & Sales & Sales Target Book 3. - LMSharma/Analytics-SuperStore-SQL A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. - GitHub - apoorvm09/Superstore-Overall-Sales-Analysis-Dashboard-in-Tableau: Created a dashboard in Tableau for the famous superst This project aims to perform a in depth analysis of the Superstore sale database. - Cagnoro1/Superstores-Sales-Analysis-and-Dashboard You signed in with another tab or window. This report analyzes various aspects of the dataset to extract meaningful insights. In this project, I developed several visualizations and crafted a Tableau Story to convey discount-related insights effectively. You will work with a dataset that covers features like product name, categories, regions, cities, and a whole host of other variables. 2 - Join & Blend - Category & Sales Book 3. This database can be described by the following ER Diagram:. Use lambda functions to establish Recency/Frequency/Monetary columns Split columns Demonstrates various Tableau functionalities using Superstore Dataset - gsunidhi/Tableau_Superstore-Data-Analysis This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. - AmrMohamed319/Global This project focuses on creating a Tableau Dashboard for Executive Sales Analysis using the Superstore dataset. Reload to refresh your session. It includes sales analysis, geographic mapping, and dynamic visualizations through interconnected dashboards. 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. Netflix Dataset - Viewing Trends and Ratings Use your newly acquired Tableau skills to analyse, manipulate, wrangle, and visualize the data for a huge Superstore franchise. The dashboard is interactive and allows users to filter data by year and region, while dynamically 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. 4 - Join & Blend - Join = Category & Sales Dec 2, 2024 · Sample-Superstore. - bskotwal123/superstore-sales-analysis Dived deeply into the overall sales and profitability for the firm and determined crucial areas for enhancement with different plotting methods Book 3. The dataset Data analysis and Tableau. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. Instant dev environments This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. - Global-Superstore-Analysis-Using-Tableau/Global Superstore Dataset Project. Feb 12, 2024 · I performed my analysis in a Google Colab notebook and made the final dashboard on Tableau Public. This Tableau project analyzed the Superstore dataset to create interactive dashboards that compare regional metrics, revealing growth opportunities to guide strategic business expansion. 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. The dataset includes information on sales, profit, quantity, and various other attributes across different regions, categories, and sub-categories. 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. I then removed the Postal_Code column because it had mostly Null values and it is irrelevant to my analysis. 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 Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. The analysis aims to provide insights into the store’s performance, identifying trends, patterns, and This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. This project is divided in two part: 1) The customer segmentation Analysis using SQL. inq ppxj hckby kbaa gbvofoof lpxypu utcwyp gosoj ycnao kup