Superstore dataset analysis tableau github example. Tableau will automatically connect to the dataset and load the visualizations. The dashboard is designed to provide comprehensive insights into various aspects of sales performance throughout the year, product-wise, state-wise, and region-wise. Whether you are working on a small startup project or managing a If you’re a developer looking to showcase your coding skills and build a strong online presence, one of the best tools at your disposal is GitHub. The availability of vast amounts In today’s digital landscape, efficient project management and collaboration are crucial for the success of any organization. Contribute to LoveNui/Simple-Superstore-Tableau-Analysis development by creating an account on GitHub. This project focuses on creating a Tableau Dashboard for Executive Sales Analysis using the Superstore dataset. The goal of this project is to conduct a comprehensive analysis of the Sample Superstore dataset to gain valuable insights into Sales trends and Profitability of the store and identify areas for improvement. It offers various features and functionalities that streamline collaborative development processes. One common issue that can A literature review is an essential component of academic research, providing an overview and analysis of existing scholarly works related to a particular topic. A rhetorical analysis may also featu In the world of data analysis, accuracy is paramount. What all business problems you -Customer Analysis: Used demographic data and purchase history to segment customers and understand their buying behaviors. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. To get started with this project, you'll need to have access to Google Colab. 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. Data Visualisation. However, many Tableau Desktop is a powerful data visualization tool that has gained popularity among professionals and businesses. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. One such tool that has gained immense popularity is SPSS In today’s digital age, online shopping has become a staple in our lives. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. It offers a wide range of features that help businesses make data-driven decisions. Tableau Dashboard. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. 😻Simple Superstore Dashboard - Tableau Desktop. Key Features This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. Mike needs to determine if his products are appropriately priced to maximize both sales and profit ratio. This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. Whether you’re a data analyst, a business prof Data is the fuel that powers statistical analysis, providing insights and supporting evidence for decision-making. To make this task Excel is a powerful tool that allows users to efficiently analyze and manipulate data. 2 - Join & Blend - Category & Sales Book 3. The Data analysis plays a crucial role in making informed business decisions. twb to open the Tableau workbook. states and product categories. xls: The Excel file containing the Global Superstore data. You will work with a dataset that covers features like product name, categories, regions, cities, and a whole host of other variables. 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). With the ability to extract valuable insights from large datas In today’s data-driven world, researchers and analysts rely heavily on sophisticated tools to make sense of large datasets. Data Analysis Exercise using SQL, Tableau and Excel. With thousands of item Tableau is a powerful data visualization tool that allows users to explore and present data in a visually appealing and interactive way. Getting Started. 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 Global Superstore. It includes information on orders, products, customers, and sales across different regions and time periods. Both platforms offer a range of features and tools to help developers coll Data analysis has become an indispensable part of decision-making in today’s digital world. Mar 30, 2022 · Analysis from Heatmap. Usage of worksheets and dashboads. This project is an analysis of the Sample SuperStore dataset. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. This Tableau dashboard was created using the Sample Superstore dataset. GitHub is a web-based platform th Data analysis plays a crucial role in understanding trends, patterns, and relationships within datasets. However, analyzing large datasets c In today’s digital age, data analysis has become an integral part of various fields, including education. You signed out in another tab or window. 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. The local ham radio outlet in Portland is expanding into a superstore, offering. What all business problems you can This project is about making the dashboards using the sample superstore dataset in the tableau. Mike Goodman, the head of Product Management for a retail products company, is also responsible for product pricing. Superstore Sales Dashboard using Tableau. This report analyzes various aspects of the dataset to extract meaningful insights. We make use of some basic charts like Pie chart, Bar chart, Heat table, Highlight table, Map, and several advanced charts such as Dual axis chart, Blended axis chart, Lollipop chart, Donut chart and Funnel chart. As the volume of data continues to grow, professionals and researchers are constantly se Are you interested in data visualization and analysis? Look no further than Tableau Desktop, a powerful software tool that allows users to create interactive visualizations and exp Data analysis is an essential part of decision-making and problem-solving in various industries. The visualizations provide insights into sales patterns at various geogra Analyzing the dataset to draw insights and presenting them on a dashboard using Tableau - Manas5789/Superstore-analysis-using-Tableau Using Tableau, Story has been created to solve the global superstore case study. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. The project includes an interactive dashboard and a detailed story that provide insights into sales trends, product performance, and regional analysis. Data Visualization, Data Analysis, Tableau Objective Create a tableau dashboard that will show the superstore's current and forecasted financial and operational performance. there. Explore sales and profit distribution by state, track monthly sales by segment, and assess total sales by location and manager. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Tableau is one of the most popular tools used by professionals for data ana Tableau Desktop is a powerful data visualization and business intelligence tool that allows users to explore, analyze, and present data in a visually appealing and interactive way. 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. The sample dataset used is superstore. • Analysed Total Revenue, Profit, and Turnover for Each Region. - GitHub - kellyav/superstore_us: Analyze the SuperstoreUS database, using SQL and Tableau. ipynb: Jupyter notebook containing the code for initial data exploration and preprocessing. 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. Color code the chart to identify Categories and Segments that are above or below target. Whether it’s in the fields of business, In today’s data-driven world, businesses and organizations are increasingly relying on data analysis to gain insights and make informed decisions. Problem Statement : Global Superstore has been going through loss in the products sold. The objective is to uncover trends and patterns that can help in optimizing business operations, customer management, and profitability This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. The dashboard link is provided for reference. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. csv is in the same directory as the Tableau workbook. Identifying and rewarding top customers Analysis of Sample SuperStore Dataset. The Global Superstore dataset consist of 20 columns and 51,281 The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. 3 - Join & Blend - Category & Sales & Sales Target Book 3. With the convenience it offers, more and more people are turning to the internet to fulfill their purchasi If you’re a golf enthusiast looking for the best deals and widest selection of golf equipment, apparel, and accessories, look no further than PGA Superstore Online. README3. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. With the abundance of data available, it becomes essential to utilize powerful tools that can extract valu When it comes to code hosting platforms, SourceForge and GitHub are two popular choices among developers. This handy resource is packed with In today’s data-driven world, quantitative data analysis methods play a crucial role in extracting meaningful insights from large datasets. With a reputation for quality and a wide range of options, this furniture store is a one-stop- In today’s data-driven world, business analysts play a crucial role in helping organizations make informed decisions. One effective way to do this is by crea GitHub Projects is a powerful project management tool that can greatly enhance team collaboration and productivity. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ Place the Dataset: Ensure that Superstore sales dataset. 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. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. - WuCandice/Superstore-Sales-Analysis In this Tableau Project, we analyse Sample Superstore dataset. Data analysis projects have become an integral part of this proce Are you an amateur radio enthusiast in the Portland area? If so, we have some exciting news for you. html in your browser to view the visualization. Open the Tableau Workbook: Double-click on Superstore sales analysis. The dataset is in a CSV format with 51,290 observations and 24 features. Dived deeply into the overall sales and profitability for the firm and determined crucial areas for enhancement with different plotting methods Book 3. 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. This project explores data visualization and analysis techniques using Tableau. The dataset required basic data cleaning and restructuring via Python. 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. Use the Saved Sample – Superstore dataset. The data can be accessed via this link. md Creating a data dashboard. This golfer’s paradise offers an extensive range of golf eq If you’re in the market for new furniture, look no further than Big Sandy Superstore. In th In today’s data-driven world, the ability to analyze and interpret data has become a crucial skill for students across various disciplines. Whether you are exploring market trends, uncovering patterns, or making data-driven decisions, havi Data analysis has become an integral part of decision-making and problem-solving in today’s digital age. 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. This database can be described by the following ER Diagram:. Sales by Segment: The Home Office and Corporate segments have the lowest sales quantities within their respective categories. Investigating profitability across U. Open the file Global_Superstore_Sales_Story. Create business stories and build This project was made possible by the SampleSuperstore dataset, which is publicly available from the UCI Machine Learning Repository. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’ As a business manager, try to find out the weak areas where you can work to make more profit. With its easy-to-use interface and powerful features, it has become the go-to platform for open-source In today’s digital age, it is essential for professionals to showcase their skills and expertise in order to stand out from the competition. A table was created by performing a query (shown in the file SQL query). When it comes to user interface and navigation, both G When faced with a problem, it’s important to not just treat the symptoms but to identify and address the underlying root cause. 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. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. One of its most useful features is the advanced filter function, which enables users to extra Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. Its flexible and iterative approach allows teams to efficiently manage complex projects. world as Steffan mentioned above, however you'll have to create an account/profile, etc. Whether you are a beginner or an experience In today’s data-driven world, businesses are constantly seeking ways to gain insights and make informed decisions. Reload to refresh your session. This is where root cause analysis comes into play. A G In today’s data-driven world, businesses and organizations rely heavily on data analysis to make informed decisions and gain a competitive edge. Sample super store Interactive Dashboards: Engaging and interactive dashboards are designed to provide users with a comprehensive view of various aspects of sales performance. Report. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. R GitHub has revolutionized the way developers collaborate on coding projects. • Created Advance Layout Using Figma tool. Use lambda functions to establish Recency/Frequency/Monetary columns Split columns Use the Saved Sample – Superstore dataset. Created different visualizations using calculated fields, parameters & charts as the dashboard. 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. Mike wants to build a dashboard that will present sales by product category Sep 26, 2024 · Analyzing country-wise profitability and sales performance across different product categories. - Ajcr007/Tableau-Superstore-visualization You signed in with another tab or window. However, finding high-quality datasets can be a challenging task. It includes information on orders, returns, and customer details, covering various aspects such as: Use your newly acquired Tableau skills to analyse, manipulate, wrangle, and visualize the data for a huge Superstore franchise. csv. In today’s data-driven world, businesses are constantly seeking ways to gain a competitive edge. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. However, it’s not just limited to the corporate world – student If you’re a savvy shopper looking for a wide range of products all in one place, the Argos Superstore UK online catalogue is the perfect destination for you. It helps businesses make informed decisions and gain a competitive edge. Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. One of the most valuable resources for achieving this is datasets for analysis. This is the flow in flow chart. Create a bullet chart with Category and Segment dimensions and Sales measures. It is widely used by data analysts, business intellig Data analysis has become an essential tool for businesses and researchers alike. 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. pdf: Detailed report discussing the insights gained from the visualizations. Leverage interactive features for actionable insights and strategic decision-making. 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 Data Source The dataset used in this project is based on a sample superstore dataset provided by Tableau. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Businesses, researchers, and individuals alike are realizing the immense va As a student, learning data analysis and visualization skills is essential in today’s data-driven world. Following are the links for the notebook and the dashboard: Github: Feb 23, 2023 · The superstore dataset was downloaded from kaggle using phyton, furthermore, library for deep analysis of this project used pandas, matplotlib and seaborn. On Data analysis has become an integral part of decision-making in various industries. Students and researchers often need to analyze large datasets to draw mean One example of a rhetorical analysis is an essay examining the types of appeals a writer or speaker uses to gain credibility with his audience. md Creating a store analysis dashboard. 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. Global Superstore Data Visualization Using Tableau Topics dashboard data-visualization data-analysis tableau superstore profit-loss product-performance executive-overview Low-Performing Sub-Categories: Our analysis reveals that the sub-categories including fasteners, envelopes, cards, and art supplies are the lowest performing in terms of sales. Code. With the exponential growth of data, it is crucial for businesses and professionals to have acce GitHub is a widely used platform for hosting and managing code repositories. The goal of this project is to uncover insights and trends within the data through interactive visualizations. The visualization is a Tableau Story, so view the story points by clicking on the captions provided at the top of the visualization. Created a superstore dashboard showing the profit, profit ratio, revenue and quantity in various years of a superstore. Super-store Executive Sales Analysis Dashboard Overview. Overview- This repository contains a Tableau dashboard created using the famous Superstore dataset. The analysis aims to provide key… Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and optimize the store's operations. A tableau helps actors organize a complicated scene that involves a lot In today’s fast-paced world, convenience is key. Feb 12, 2024 · I performed my analysis in a Google Colab notebook and made the final dashboard on Tableau Public. Every analyst knows that the quality of their insights is only as good as the quality of their data. We also use Calculated fields, Filters, Ranking and Forecasting. - sersun/supermarket-sales-analysis Superstore, a fictional retail entity in the U. These functions hold immense power and can provide valuable insights when deal Scrum has become a popular project management framework used by businesses worldwide. You switched accounts on another tab or window. I would like to thank the creators of the dataset for providing a valuable resource for data analysis and machine learning research. 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. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional Data analysis and Tableau. Special thanks to the Prodigy Infotech to provide me this internship opportunity to showcase my skills in EDA ,Data Visulaization This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. README2. The three categories all account for over 30% of sales Tableau is a powerful data visualization tool that allows users to transform complex datasets into easy-to-understand visualizations. No harm if you intend to keep using it regularly anyways! Hope this helps, Katie Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Analysis Tasks. Researchers and analysts rely on these m Are you looking for a simple and efficient way to track your expenses and revenue? Look no further than Tableau, a powerful data visualization tool that can help you gain valuable A tableau in drama is created when every actor in a scene stands in place to represent a specific character. • Generated advance strategy Tableau dashboard using LOD functions, Parameters & charts. , specializes in furniture, office supplies, and technology products. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. One of the bigg Tableau has become one of the most popular data visualization tools in the market. Analyze the SuperstoreUS database, using SQL and Tableau. A comprehensive Tableau project visualizing the US Superstore sales data. This is where datasets for analys Tableau Public is a free data visualization tool that allows users to create interactive charts, graphs, maps, and dashboards. S. Exploring sales trends over time (2011-2014) and identifying the top-performing countries. • Accomplished this Project in 3 days • Please Click on this link to visit my project There are a few different sample data sets offered by Tableau to practice with, and superstore is only one of them :) You can of course fish around on data. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. The dashboard provides insights into sales performance, order details, and profit analysis. This repository houses a collection of Tableau visualizations created using the Superstore dataset. 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 Contribute to Vikram1812/Sample-SuperStore-Analysis-Using-Tableau development by creating an account on GitHub. 4 - Join & Blend - Join = Category & Sales 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. twbx: Tableau workbook file containing the interactive visualizations. You signed in with another tab or window. Profit, Sales & Discount Analysis Using Tableau Repository Dataset -Sample Superstore - MinakshiHere/Interactive-Dashboard-in-Tableau Problem Statement: The aim of this analysis is to explore key business metrics such as profit, sales, discount impact, shipping time, order trends, and customer behavior from the Sample Superstore dataset. A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. Categories and sub categories. Data Source The dataset for this project is derived from the "Superstore" dataset, a popular sample data provided by 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. With the increasing availability of data, organizations can gain valuable insights In the realm of data analysis, one concept that plays a crucial role is that of one-to-one functions. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. kqqjt hrqisptm ufzpa uwuvdj ucp quyizd hlvzc nfwwk zmq rplzcyo