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Sample superstore dataset github. , specializes in furniture, office supplies, and technology products. Feb 12, 2024 · I performed my analysis in a Google Colab notebook and made the final dashboard on Tableau Public. It provides insights into sales performance across different regions, product categories, and customer segments. In this dataset, we have many features like ship mode, Segment, country, City, State, Postal code, Region, category, sub-category, sales, Quantity, discount Sample superstore dataset contains 13 columns and 9995 rows of observation. 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 dashboard is interactive and allows users to filter data by year and region, while dynamically You signed in with another tab or window. About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore-Subset-Excel. Contribute to SirishaP2903/Sample-superstore-DB development by creating an account on GitHub. customers (customer_id) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (store_id) REFERENCES sales. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. The Sample Superstore dataset is a fictional sales dataset that contains information about products, customers, and sales for a retail company. Dashboard on Superstore dataset-PBI. 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. txt , val. - manish4102/IBM_Project_Sample_Superstore This repository contains my data analysis project for the IBM internship, where I conducted an in-depth exploration and analysis of a dataset. Sample superstore dataset. ipynb at master · leonism/sample-superstore This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Contribute to JessLShepp/sample_superstore development by creating an account on GitHub. The aim of this work is to analyze a dataset of purchases in an anonymous online store. The goal of this project is to uncover insights and trends within the data through interactive visualizations. The data set used in this is Sample Superstore dataset that is collected over the whole world. - Sample-Superstore-PowerBi-Project/README. This is a sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. xlsx onto my desktop. Sample_Superstore-Power_BI Create a dashboard using DAX functions Find the % of sales between cities Create charts and visualization Use data Modeling to create relationships between Fact and Dimension tables Contribute to bipulshahi/Dataset development by creating an account on GitHub. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. - Ajcr007/Tableau-Superstore-visualization Complex Data Visualization . A Interactive tableau dashboard is created using Parameters, Calculation Fields, filters and LOD functions. 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 Saved searches Use saved searches to filter your results more quickly A sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. To stay on top of supply and demand, businesses are looking to find ways to better understand their future profits and success in their respective industry. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. Contribute to mahsal123/Sample_superstore-dataset-analysis development by creating an account on GitHub. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company This dashboard helps the Superstore management understand their sales and profit distribution better. Excel file from a sample dataset. This repo contains all the datasets used in my tableau visualization. The dataset contains information about sales transactions, customer details, product categories, and regional sales performance. This project is an analysis of the Sample SuperStore dataset. , Standard Class, Second Class, First Class, Same Day). txt and test. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Contribute to garyclin1991/Sample-Superstore development by creating an account on GitHub. Learn more about releases in our docs Sample Superstore Dataset: A publicly available dataset used to simulate the profit and sales data of a fictitious retail store. Sample Superstore Data Analysis using Power Bi. Reload to refresh your session. Explore sales and profit distribution by state, track monthly sales by segment, and assess total sales by location and manager. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. Jun 14, 2024 · The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. 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. Exploratory Data Analysis on Dataset of Sample Superstore Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. staffs (staff_id) ON DELETE NO ACTION ON UPDATE NO ACTION Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. 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. - pankpy/Sample-Superstore-Python-Project About. A tag already exists with the provided branch name. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. - Sample-Superstore-Dataset-Analysis/EDA on Superstore dataset . Load into Power BI: Import the dataset into Power BI. This report analyzes various aspects of the dataset to extract meaningful insights. By analyzing the data, management can identify areas of improvement and make data Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. You signed in with another tab or window. 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. Create a bullet chart with Category and Segment dimensions and Sales measures. Sample SuperStore. By analysing this dataset, the project seeks to This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. This project uses the Global Superstore dataset, which is open source and available on Kaggle. Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. You switched accounts on another tab or window. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. Sample super store This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/01- Data Exploration - SampleSuperStore. Sample - Superstore. \\n\","," \" \\n\","," \" \\n\","," \" \\n\","," \" Row ID \\n\","," \" Order Date \\n\","," \" Ship Date 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. ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. ipynb at master · leonism/sample-superstore The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Created different visualizations using calculated fields, parameters & charts as the dashboard. Tableau-Superstore-Analysis-Doc. About This project visualizes sales and profit data from the Sample Superstore dataset, offering interactive dashboards to analyze performance across categories, regions, and segments for data-driven decisions. This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. Analysis: Utilize the dashboards for deep and flexible analysis of the data. Analysis of Sample SuperStore Dataset. This Notebook is running on top of the following stacks About This Dataset: The Sample Superstore Sales dataset provides sales data for a fictional retail company, including information on products, orders and customers This project is about making the dashboards using the sample superstore dataset in the tableau. Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. We read every piece of feedback, and take your input very seriously. - Superstore/SampleSuperstore. 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. xls at master · satishkr39/tableau_dataset Contribute to sam170901/Analysis-of-Sample-SuperStore-Dataset development by creating an account on GitHub. g. The dataset used is "Sample Superstore". In this Tableau Project, we analyse Sample Superstore dataset. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/02- Data Cleaning - SampleSuperStore. Country: Country where the order was shipped. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a binary classification problem. S. " sample-superstore dataset *The highest order is received from william brown that is 37, and he has ordered the highest on office supplies (23). xlsx at master · ANANYAJENA/Datasets This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/05- Data Pivot - SampleSuperStore. Contribute to abhinav284/Data_Analysis_on_sample_super_store_dataset development by creating an account on GitHub. a) Basic preprocessing of data has been done using Python b) Finally, Dashboard creation has been done using MS Excel Contribute to Tibson-spec/Sample-Superstore-Dataset-Project development by creating an account on GitHub. Our goal was to gain valuable insights and make data-driven recommendations to improve business operations. The dataset is in a CSV format with 51,290 observations and 24 features. Contribute to adetelz/Superstore-task-3- development by creating an account on GitHub. IBM Internship to analyse the data according to the dataset of a superstore and with the help of this we increase our sales in a beneficial area You signed in with another tab or window. This Tableau dashboard was created using the Sample Superstore dataset. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Jun 16, 2024 · You signed in with another tab or window. Contribute to rraj12345/Tableau-Dashboard-on-SuperStore-DataSet development by creating an account on GitHub. Here I have used Sample Superstore 2022 dataset to analyze and create dashboard in Excel and have used power pivot for simple KPI indicator - pmsupriya/Superstore-Dashboard Contribute to Mohana001/Sample_Superstore_dataset development by creating an account on GitHub. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Creation of Excel dashboard for a sample superstore dataset. The three categories all account for over 30% of sales To Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore' - tyagilakshay12june/Sample-SuperStore- Saved searches Use saved searches to filter your results more quickly Welcome to our Sample Superstore dataset project, a comprehensive simulation that delves into extensive data analysis to provide valuable insights for enhancing company profitability while minimizing losses. How to use the dataset The files train. To get started with this project, you'll need to have access to Google Colab. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. About Dataset Context. This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. Following are the links for the notebook and the dashboard: Github: Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. I mainly chose this data set to analyze how a store work under different situations and how they tackle profit or loss, while they are in profit how they got profit and how to increase it further, and if they are in loss how they tend to increase the sales and background works like how they analyze to make profit and improvement in sales. This Datyaset contains 21 different columns , some of which are datatime columns , some are columns for location of countries ,some are id columns others are numerical columns etc. Segment: Customer segment (e. The dataset contains several attributes, including sales, profit, order date, ship date, and more. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Explore trends, patterns, and key metrics to inform strate 'Sales Analysis' has been made on a sample data with Pandas, Matplotlib and Seaborn library By using Jupyter Nootbook over Anaconda. - WuCandice/Superstore-Sales-Analysis Find the Superstore dataset that I have used in my article Tableau for Beginners - Data Visualisation Made Easy About the Data Product Sales that were made in a Superstore, established in United States, over a span of 4 years : 2013 - 2016 Sep 29, 2023 · In this data analysis project, I will conduct an Exploratory Data Analysis (EDA) on a superstore sales dataset. This is a sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses The code is written to prepare invoices for "Customer Name-Customer ID". 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. This is a practice project which I did to polish up my Excel skills. Contribute to rjafari979/Information-Visualization-Data-Analytics-Dataset- development by creating an account on GitHub. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that You signed in with another tab or window. stores (store_id) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (staff_id) REFERENCES sales. For this repo, I will pretend to be a data scientist for Tableau's 'Sample-Superstore', in which I use machine learning techniques to predict You signed in with another tab or window. This repository houses a collection of Tableau visualizations created using the Superstore dataset. - EU-Superstore/Sample - EU Superstore. 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. Contribute to sshilps/Sample-Store-dataset-Tableau-Project development by creating an account on GitHub. ipynb at main · Nrj27/Sample-Superstore-Dataset-Analysis About. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. - tableau_dataset/Sample - Superstore. The data can be accessed via this link. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Sample SuperStore. I've performed Exploratory Data Analysis on the dataset SampleSuperstore. Superstore, a fictional retail entity in the U. You signed out in another tab or window. Perform Exploratory Data Analysis on Sample Superstore dataset. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. A Tableau Project. Contribute to saiNaniA1/sample-dataset development by creating an account on GitHub. This dataset shows the shipped goods to USA superstore, collects information from 9994 item, Each row represents a item, each column contains item’s attributes. . The SampleSuperstore dataset contains information about a fictional superstore's sales, profit, and other related attributes. all the viz are present in tableau public. Dax Function Used : DateAdd, AddColumns, Filter, Calculate, Switch, If,Else,All, AllExcept, AllSelected Add this topic to your repo To associate your repository with the sample-superstore topic, visit your repo's landing page and select "manage topics. - sachinpa Saved searches Use saved searches to filter your results more quickly Task 3 of the Data Science and Business Analytics Internship at The Sparks Foundation. Sample superstore dataset Exploration. csv at master · Wunmi-O/Superstore You signed in with another tab or window. Download the Dataset: Ensure you have the Sample Superstore dataset. xls at master · ARAPIL/EU-Superstore You signed in with another tab or window. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. - Mohab29/Sample-Superstore Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the 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. EU Superstore data was analyzed and visualized. *The highest sale according to month is done in december and the highest sale according to region is done in EAST in november. In this case, we will perform EDA on the "SampleSuperstore" dataset to better 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. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). The dataset is in CSV format, comprising 51,290 observations and 24 features. As a business manager, try to find out the weak areas where you can work to make more profit. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. This project presents an in-depth analysis of the Sample Superstore dataset using Microsoft Excel. This is a detailed analysis on customer behavior analysis. , Consumer, Corporate, Home Office). This is the flow in flow chart. Saved searches Use saved searches to filter your results more quickly This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. You can create a release to package software, along with release notes and links to binary files, for other people to use. The data has 51290 rows, and 24 columns. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the customer sales trends, which will help the supermarket Data analysis project using the Sample Superstore Dataset, with insights on sales, profit, and customer segmentation - devil3648/Data-Analysis-Superstore-Dataset Use the Saved Sample – Superstore dataset. In the dashboard, user has the control to select from four different KPI's (Sales, Profit, Quantity, Discount) and see the results for different segments, category and sub-categories. Uses SQL to analyze a sample Superstore database. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. md at main · ksashi95/Sample-Superstore-PowerBi-Project TASK NAME- EDA- RETAIL ON DATASET "SAMPLE SUPER STORE" TASK CATEGORY- DATA SCIENCE & BUSINESS ANALYTICS ORGANIZATION - THE SPARKS FOUNDATION PERFORMED BY- SNEHA KUMARI With Data sample super set by using this dataset I ve to perform EDA to establish hidden relation in between the data points in the dataset. The dataset contains information about sales, customers, products, and orders from a fictional Power BI exploration of the Sample Superstore dataset. I've analysed the data and gained valuable insights through it to improve Sales. Categories and sub categories. Sales, profits, shipping modes were analyzed on country, state and regional bases. 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. The Global Superstore dataset is a sample dataset that contains sales and order data for a fictional global retail company that sells office supplies, furniture, and technology products. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. - Mr-Lokesh/Tableau-Sample-Superstore-Dashboard Sample-Superstore Dataset. What all business problems ypu can derive by exploring the data? Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1 This project explores data visualization and analysis techniques using Tableau. Dashboard Creation: Use the dataset to create visuals as described in the project details. This includes the state, region, order date, shipping date, product ordered etc. power Bi project with sample data set. Color code the chart to identify Categories and Segments that are above or below target. I downloaded the Global Superstore Orders 2016. You can access the dataset here. Getting Started. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. FOREIGN KEY (customer_id) REFERENCES sales. The dataset is a sample superstore dataset and we perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ As a business manager, we try to find out the weak areas where we can work to make more The project showcases my skills in data cleaning, visualization, and statistical analysis, along with insightful findings and actionable recommendations. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Contribute to shekhs/SampleSuperstore-EDA development by creating an account on GitHub. The dashboard should include key metrics such as total sales, sales by product, sales by location, sales by customer segment, and sales by product category. The dataset A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. ipynb at master · leonism/sample-superstore The Super Store dataset contains data on order details of customers for orders of a superstore in the US. The Dashboard revealing great information about the superstore dataset has been created using Python and MS Excel. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. Sample-Superstore-Dataset Exploratory Data Analysis - Retail Perform "Exploratory Data Analysis" on dataset SampleSuperstore. hejend fqrnx tfbhs gzticr lokhr gdxfm tjzpup xirawn qsfc zbujfwtr