Superstore dataset analysis tableau github 2020. - BismaYB/Global-super-store-Sales-Analysis These dashboards and charts for various datasets provide different insights and are used to make data-driven decisions. Description. Exploring sales trends over time (2011-2014) and identifying the top-performing countries. It is widely used by data analysts, business intellig Data analysis has become an essential tool for businesses and researchers alike. - Dina-Hosny/Super-Store-An Tableau Superstore Sales Analysis Dashboard. 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. The Data analysis plays a crucial role in making informed business decisions. Identifying and rewarding top customers Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. This project focuses on creating a Tableau Dashboard for Executive Sales Analysis using the Superstore dataset. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. Sep 8, 2021 · Descriptive, Predictive, Prescriptive Analysis of the Sales SuperStore Dataset through these 5 dashboards. It offers a wide range of features that help businesses make data-driven decisions. S. Color code the chart to identify Categories and Segments that are above or below target. This repository includes visualizations that explore key metrics such as sales performance, profit margins, regional distribution, and product categories. 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. Tableau Projects for data analysis, data analytics and data visualaization on different data sets - ptyadana/Tableau_2020_A-Z_Hands-On Since 2013, the Citi Bike Program has implemented a robust infrastructure for collecting data on the program's utilization. Apr 7, 2020 · You signed in with another tab or window. html in your browser to view the visualization. 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. Interactive Dashboards: Engaging and interactive dashboards are designed to provide users with a comprehensive view of various aspects of sales performance. this project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories Introduction: Welcome to the analysis of the Superstore e-commerce dataset. The dataset used includes sales records spanning a defined period, comprising various attributes such as product categories, customer segments, geographic regions, and sales Oct 8, 2024 · This repository contains Tableau workbooks using the superstore_data dataset, showcasing retail analytics, interactive dashboards, and storytelling techniques. - sersun/supermarket-sales-analysis This project entails developing an interactive Excel dashboard to analyze a call center dataset from October 2020. The dashboard provides insights into sales performance, order details, and profit analysis. - Ajcr007/Tableau-Superstore-visualization The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. With an increasing d Tableau is a powerful data visualization tool that has gained immense popularity in recent years. Researchers and analysts rely on these m A tableau in drama is created when every actor in a scene stands in place to represent a specific character. Students and researchers often need to analyze large datasets to draw mean Are you always on the lookout for great deals on groceries, household items, and more? Look no further than the Atlantic Superstore weekly flyer. 3 - Join & Blend - Category & Sales & Sales Target Book 3. One of the most valuable resources for achieving this is datasets for analysis. One such tool that has gained immense popularity is SPSS In today’s digital age, online shopping has become a staple in our lives. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. This GitHub repository houses a comprehensive Tableau-based analysis of Superstore sales data, providing valuable insights into key metrics and trends. What all business problems you can Superstore Sales Dashboard 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. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. 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. The data was meticulously cleaned using MySQL, and the insights were visualized using Tableau. 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. Using Tableau, Story has been created to solve the global superstore case study. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. GitHub is a web-based platform th Data analysis plays a crucial role in understanding trends, patterns, and relationships within datasets. Its user-friendly interface and extensive range of features have made it a favorit If you’re a golf enthusiast looking for the latest equipment, apparel, or accessories, the PGA Tour Superstore website is a one-stop-shop for all your needs. On Data analysis has become an integral part of decision-making in various industries. Time Series are widely used for non A comprehensive Tableau project analyzing Superstore sales data to uncover trends, insights, and business opportunities. The dataset comprises HR data spanning from the year 2000 to 2020, totaling over 22,000 rows. Data analysis and Tableau. csv). This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. #Analytics #Dashboard. Create business stories and build This project is about making the dashboards using the sample superstore dataset in the tableau. 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. Sample super store 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. 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. Overview- This repository contains a Tableau dashboard created using the famous Superstore dataset. An interactive Tableau dashboard that provides insights into various key performance indicators (KPIs) and allows users to filter the data based on different dimensions. You switched accounts on another tab or window. In this project, I've implemented data visualizations utilizing a variety of charts and graphs in Tableau from a superstore dataset (superstore. The goal of this project is to uncover insights and trends within the data through interactive visualizations. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. The Global Superstore dataset consist of 20 columns and 51,281 The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. The dashboard is designed to provide comprehensive insights into various aspects of sales performance throughout the year, product-wise, state-wise, and region-wise. Data Visualization, Data Analysis, Tableau Objective Create a tableau dashboard that will show the superstore's current and forecasted financial and operational performance. 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. 2 - Join & Blend - Category & Sales Book 3. #SampleSuperstore. Download the Olist store dataset in Excel or CSV format. 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). Analysis of sales performance using Tableau and the Superstore dataset. - LMSharma/Analytics-SuperStore-SQL A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. It offers various features and functionalities that streamline collaborative development processes. The visualization is a Tableau Story, so view the story points by clicking on the captions provided at the top of the visualization. The interest for me was the fact that it contained global order and shipping information that can be used to generate insights into global e-commerce for some item categories. 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. 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. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. Time Series Analysis comprises of motheds for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. The case includes three detailed tutorials that can be used by instructors in the classroom to introduce students to Tableau in the context of retail strategy and operations (using the Global Superstore dataset that is made available with Tableau). states and product categories. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ 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. One of the bigg Tableau has become one of the most popular data visualization tools in the market. You will work with a dataset that covers features like product name, categories, regions, cities, and a whole host of other variables. 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. Every analyst knows that the quality of their insights is only as good as the quality of their data. Add Are you a passionate golfer looking for the ultimate shopping experience? Look no further than the PGA Store Superstore. In today’s data-driven world, organizations are constantly seeking ways to gain meaningful insights from the vast amount of information available. A tableau helps actors organize a complicated scene that involves a lot 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 In today’s fast-paced world, convenience is key. Published: Aug 27, 2020 Updated: Dec 1, 2022. The well-organized structure, clear guidelines, and thoughtful visualizations ensure an informative exploration of the dataset. An exploratory analysis was conducted on the Super Store discount data. Create a bullet chart with Category and Segment dimensions and Sales measures. The objective is to uncover trends and patterns that can help in optimizing business operations, customer management, and profitability The Superstore-Sales dataset provides detailed information on a company's sales. 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. pbix'. It includes sales analysis, geographic mapping, and dynamic visualizations through interconnected dashboards. This rich dataset enables analysts to perform a wide range of analyses, including: Sales Analysis: Analysts can examine Use the Saved Sample – Superstore dataset. A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. With busy schedules and limited time, many consumers are turning to online grocery shopping as a way to streamline their lives. Super-store Executive Sales Analysis Dashboard Overview. Separate the Stations information and saved to another Sep 26, 2024 · Analyzing country-wise profitability and sales performance across different product categories. -Customer Analysis: Used demographic data and purchase history to segment customers and understand their buying behaviors. 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. Data Source The dataset for this project is derived from the "Superstore" dataset, a popular sample data provided by Tableau. One of its most useful features is the advanced filter function, which enables users to extra In the world of data analysis, accuracy is paramount. • What Categories of items have the most/least orders Tableau is a powerful data visualization tool that allows users to transform complex datasets into easy-to-understand visualizations. Time series forecasting is the use of a model to predict future values based on previously observed values. This project explores data visualization and analysis techniques using Tableau. 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. Created different visualizations using calculated fields, parameters & charts as the dashboard. Leveraging Python, Streamlit, Pandas, Plotly Express,. Data Sources: Data is sources from the Superstore dataset, which includes information on sales, profits, and customer segments. This project is designed to present key information and trends to stakeholders, enabling informed decision-making. Problem Statement: Our objective is to analyze the The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. - WuCandice/Superstore-Sales-Analysis Use your newly acquired Tableau skills to analyse, manipulate, wrangle, and visualize the data for a huge Superstore franchise. #BusinessIntelligence. The availability of vast amounts In today’s digital landscape, efficient project management and collaboration are crucial for the success of any organization. Questions: Sales per month; Sales per state; Sales per profit bin; Sales percentage per region; Sales per category; Quantity - Discount You signed in with another tab or window. About No description, website, or topics provided. 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. Tableau Dashboard. Investigating profitability across U. Visuals / Examples: Aug 27, 2020 · Used the Superstore dataset to create a dynamic dashboard to easily identify profit/loss-making States across categories, sub-categories, and segments. In today’s data-driven world, businesses are constantly seeking ways to gain a competitive edge. The goal is to provide actionable insights for business decision-making by analyzing global sales, profitability, customer segmentation, and geographical performance. With a wide range of p. Reload to refresh your session. Visualizations were created using The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. 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. However, many Tableau Desktop is a powerful data visualization tool that has gained popularity among professionals and businesses. A comprehensive Tableau project visualizing the US Superstore sales data. 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. 4 - Join & Blend - Join = Category & Sales This project focuses on creating interactive data visualizations for the Global Superstore Dataset. Subsequently, we imported the cleaned dataset into Tableau for in-depth analysis. One common issue that can In today’s data-driven world, quantitative data analysis methods play a crucial role in extracting meaningful insights from large datasets. 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. - tableau_superstore_analysis/README. Utilizing Tableau's capabilities, we analyzed the dataset comprehensively and developed interactive dashboards and stories to present our insights effectively. 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 Superstore, a fictional retail entity in the U. 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. 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 report analyzes various aspects of the dataset to extract meaningful insights. It includes information on orders, returns, and customer details, covering various aspects such as: It contains SQL dump of Super Store Dataset provided by Tableau and various questions. 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. When it comes to user interface and navigation, both G GitHub has revolutionized the way developers collaborate on coding projects. This Tableau dashboard was created using the Sample Superstore dataset. 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. 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. The local ham radio outlet in Portland is expanding into a superstore, offering If you’re an avid golfer on the lookout for the perfect set of golf clubs, look no further than PGA Superstore. The dataset 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. The dataset comprises columns like customer sentiment, satisfaction scores, and call details. Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. 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. Usage To run the project: Open the Power BI file 'Healthcare_Analysis. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. 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. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly Open the file Global_Superstore_Sales_Story. The dashboard offers a comprehensive overview of key performance metrics, highlighting trends and pinpointing areas for improvement. With a wide range of options, expert staff, and top-notch customer s Ham radio enthusiasts in Portland have a reason to celebrate as the popular retailer, Ham Radio Outlet, has recently announced its expansion into a superstore. 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. 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. Select the file format and location of the Olist store dataset. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. This project focuses on conducting an in-depth analysis of employee demographics, tenure, and turnover within a corporate setting. This dataset contains information about orders, returns, and customers, providing valuable insights into the sales performance and customer behavior of the Superstore. You signed out in another tab or window. Open Power BI Desktop and navigate to 'Get Data' option in the Home tab. This handy resource is packed with Excel is a powerful tool that allows users to efficiently analyze and manipulate data. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. 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. 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. The dataset required basic data cleaning and restructuring via Python. 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. Use lambda functions to establish Recency/Frequency/Monetary columns Split columns The dataset of Global Superstore typically includes information such as customer demographics, product details, sales transactions, shipping details, and geographic information. However, finding high-quality datasets can be a challenging task. These functions hold immense power and can provide valuable insights when deal In today’s data-driven world, the ability to analyze and interpret data has become a crucial skill for students across various disciplines. 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. 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. Problem Statement : Global Superstore has been going through loss in the products sold. Import the data into Power BI. , specializes in furniture, office supplies, and technology products. 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 Dived deeply into the overall sales and profitability for the firm and determined crucial areas for enhancement with different plotting methods Book 3. 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. Upon thorough examination, we confirmed that the dataset was indeed clean and ready for further examination. It helps businesses make informed decisions and gain a competitive edge. 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. The project includes an interactive dashboard and a detailed story that provide insights into sales trends, product performance, and regional analysis. This corporate style viz is a different take on the classic Tableau Superstore data set. Each segment has a dedicated dashboard page that addresses the business intelligence questions raised. Through the team's efforts, each month bike data is collected, organized, and made public on the Citi Bike Data webpage. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. Key Features You signed in with another tab or window. The dashboard is interactive and allows users to filter data by year and region, while dynamically This repository houses a collection of Tableau visualizations created using the Superstore dataset. However, analyzing large datasets c In today’s digital age, data analysis has become an integral part of various fields, including education. 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. md at main · VolasIgor/tableau_superstore_analysis I was exploring Kaggle and stumbled on a Global Superstore Dataset.