Sample superstore dataset github. Reload to refresh your session.

Sample superstore dataset github. The dataset contains information about sales, customers, products, and orders from a The Super Store dataset contains data on order details of customers for orders of a superstore in the US. Contribute to JessLShepp/sample_superstore development by creating an account on GitHub. Superstore product dateset containing sales and profit that group by into furniture, office supplies and technology. A tag already exists with the provided branch name. Quickly spot increases or decreases in sales, profit The aim of this work is to analyze a dataset of purchases in an anonymous online store. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. - Sample-Superstore-PowerBi-Project/README. 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 Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Topics Trending Collections Enterprise Enterprise platform Sample-Superstore-Retail-Analysis. This is a detailed analysis Sample SuperStore. ipynb at master · leonism/sample-superstore GitHub community articles Repositories. Perform Exploratory Data Analysis on Sample Superstore dataset. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Uses SQL to analyze a sample Superstore database. Topics Trending Collections Enterprise Enterprise platform. Code for Tableau Tips, Tricks, and Techniques, Published by Packt You signed in with another tab or window. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. SyntaxError: Unexpected token < in JSON at position 4. Applied different Visualization techniques on the EDA or exploratory data analysis is a very important step when working with data. You signed out in another tab or window. As a business manager, try to find out the weak areas where you can work to make more profit. You signed in with another tab or window. 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. 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 A superstore wants insights on their data. The sample was taken from the legendary The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. By analyzing the data, management can identify areas of GitHub is where people build software. ~dashboard showcase~ Super Sample Superstore. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. The dataset contains several attributes, including sales, profit, order date, ship date, and more. Resources About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. Analysis: Utilize the dashboards for ~dashboard showcase~ Super Sample Superstore. Contribute to adetelz/Superstore-task-3- development by creating an account on GitHub. Create a bullet chart with Category and Segment dimensions and Sales measures. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. 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. 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. This Notebook is running on top of the following stacks : Python 3. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. Dashboard Creation: Use the dataset to create visuals as described in the project details. Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1. GitHub community articles Repositories. Sample superstore dataset. 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. 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. ipynb at main · Nrj27/Sample-Superstore-Dataset-Analysis 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. You switched accounts on another tab or window. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. Unexpected token < in JSON at position 4. AI-powered developer platform About. txt and test. This corporate style viz is a different take on the classic Tableau Superstore data set. Sample superstore dataset contains 13 columns and 9995 rows of observation. They also want to know what category of product that contribute the You signed in with another tab or window. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. By analysing this dataset, the project seeks to uncover patterns, trends, and factors influencing the store's performance to facilitate informed In this Tableau Project, we analyse Sample Superstore dataset. 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 Sample-Superstore-dataset. How to use the dataset The files train. , Standard Class, Second Class, First Class, Same Day). This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. md at main · nileshely/SuperStore-Dataset-2019-2022 This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore You signed in with another tab or window. 0. 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. What all business problems ypu can derive by exploring the data? Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. The dataset contains information about sales, customers, products, and orders from a fictional Contribute to abhinav284/Data_Analysis_on_sample_super_store_dataset development by creating an account on GitHub. Dataset containing Sales & Profits of a Superstore. The Sample Superstore dataset is a fictional sales dataset that contains information about products, customers, and sales for a retail company. What all business problems ypu can derive by exploring the data? 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. . md at main · ksashi95/Sample-Superstore-PowerBi-Project Use the Saved Sample – Superstore dataset. , Consumer, Corporate, Home Office). 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. This project presents an in-depth analysis of the Sample Superstore dataset using Microsoft Excel. Our goal was to gain valuable insights and make data-driven recommendations to improve business operations. For this repo, I will pretend to be a data scientist for Tableau's 'Sample-Superstore', in which I The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. The aims of this project is to provide an in-depth analysis of this data An introduction to Sample SuperStore Dataset Walkthrough, Using Python and the Pandas Library, while utilizing Jupyter Notebook as the IDE. This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. In Refresh. - 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 can optimize its profit levels. Explore trends, patterns, and key metrics to inform strate Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. Contribute to Mohana001/Sample_Superstore_dataset development by creating an account on GitHub. 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. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Each of the phase would only This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/02- Data Cleaning - SampleSuperStore. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. g. Load into Power BI: Import the dataset into Power BI. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. 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. AI-powered developer platform Sample-Superstore-Dataset Exploratory Data Analysis - Retail Perform "Exploratory Data Analysis" on dataset SampleSuperstore. This includes the state, region, order date, shipping date, product ordered etc. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard GitHub is where people build software. content_copy. - SuperStore-Dataset-2019-2022/README. Excel file from a sample dataset. keyboard_arrow_up. This step helps one get familiar with the dataset before performing any analysis or predictions on it. Reload to refresh your session. Country: Country where the order was shipped. Power BI exploration of the Sample Superstore dataset. Created by Ryan Sleeper, this workbook aims to train users on design 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. Topics Trending Collections Pricing; Search Sample superstore dataset. You will learn how to run EDA and perform it on the superstore dataset by using Python and then, visualising and analysing the data. By analyzing the data, management can identify areas of Excel file from a sample dataset. Color code the chart to identify Categories and Segments that are above or below target. The dataset includes order details, anonymized customer information, product specifics, and 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. 7; Pandas 1. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard This dashboard helps the Superstore management understand their sales and profit distribution better. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. The sample was taken This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. It provides insights into sales performance across different regions, product categories, and customer segments. using ARIMA and Prophet models, on a superstore dataset. Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1 GitHub community articles Repositories. 2. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/05- Data Pivot - SampleSuperStore. Explore sales and profit distribution by state, track monthly sales by segment, and assess total sales by loc You signed in with another tab or window. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the customer sales The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. In this dataset, we have many features like ship mode, Segment, country, City, State, Postal code, Region, category, sub-category, sales, Quantity, discount, and the Dependent variable is profit. A Interactive tableau dashboard is created using Parameters, Calculation Fields, filters and LOD functions. 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 This dashboard helps the Superstore management understand their sales and profit distribution better. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear If the issue persists, it's likely a problem on our side. visualization of 2018-2021 superstore sample data in US . txt , val. Segment: Customer segment (e. - Sample-Superstore-Dataset-Analysis/EDA on Superstore dataset . GitHub is where people build software. Download the Dataset: Ensure you have the Sample Superstore dataset. - Mr-Lokesh/Tableau-Sample-Superstore-Dashboard This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. They wants to know the total revenue generated by the store. Topics Trending Collections Enterprise Enterprise platform Contribute to mahsal123/Sample_superstore-dataset-analysis development by creating an account on GitHub. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). 4; Matplotlib 3. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. ipynb at master · leonism/sample-superstore. 1; The learning curve was designed, even for those whose relatively coming from a non-technical background. kbssxr yklddcit hubrt yfzhar raeml lhumcfo fnm daxwz qndy ownnz

================= Publishers =================