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Sample superstore dataset github. g. 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. 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. 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. By analyzing the data, management can identify areas of GitHub is where people build software. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. md at main · ksashi95/Sample-Superstore-PowerBi-Project Use the Saved Sample – Superstore dataset. 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. The sample was taken This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. 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. Load into Power BI: Import the dataset into Power BI. Code for Tableau Tips, Tricks, and Techniques, Published by Packt You signed in with another tab or window. By analyzing the data, management can identify areas of Excel file from a sample dataset. Excel file from a sample dataset. 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. This step helps one get familiar with the dataset before performing any analysis or predictions on it. AI-powered developer platform About. Contribute to JessLShepp/sample_superstore development by creating an account on GitHub. 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. - 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. Sample superstore dataset contains 13 columns and 9995 rows of observation. 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. This Notebook is running on top of the following stacks : Python 3. 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-PowerBi-Project/README. ipynb at master · leonism/sample-superstore GitHub community articles Repositories. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1 GitHub community articles Repositories. The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. 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. ~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. using ARIMA and Prophet models, on a superstore dataset. 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 dataset contains several attributes, including sales, profit, order date, ship date, and more. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/05- Data Pivot - SampleSuperStore. 4; Matplotlib 3. 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. SyntaxError: Unexpected token < in JSON at position 4. This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1. 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. Analysis: Utilize the dashboards for ~dashboard showcase~ Super Sample Superstore. Create a bullet chart with Category and Segment dimensions and Sales measures. Color code the chart to identify Categories and Segments that are above or below target. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard GitHub is where people build software. 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. 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. 1; The learning curve was designed, even for those whose relatively coming from a non-technical background. - 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. Unexpected token < in JSON at position 4. A tag already exists with the provided branch name. - Sample-Superstore-Dataset-Analysis/EDA on Superstore dataset . They wants to know the total revenue generated by the store. 0. , Consumer, Corporate, Home Office). Applied different Visualization techniques on the EDA or exploratory data analysis is a very important step when working with data. 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. 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. You will learn how to run EDA and perform it on the superstore dataset by using Python and then, visualising and analysing the data. Segment: Customer segment (e. This includes the state, region, order date, shipping date, product ordered etc. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. 7; Pandas 1. Power BI exploration of the Sample Superstore dataset. In Refresh. . 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. txt , val. You signed out in another tab or window. Uses SQL to analyze a sample Superstore database. 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 is a detailed analysis Sample SuperStore. ipynb at master · leonism/sample-superstore. Topics Trending Collections Enterprise Enterprise platform. Our goal was to gain valuable insights and make data-driven recommendations to improve business operations. content_copy. 2. Topics Trending Collections Enterprise Enterprise platform Contribute to mahsal123/Sample_superstore-dataset-analysis development by creating an account on GitHub. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard This dashboard helps the Superstore management understand their sales and profit distribution better. Topics Trending Collections Pricing; Search Sample superstore dataset. 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. 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. Dataset containing Sales & Profits of a Superstore. Contribute to adetelz/Superstore-task-3- development by creating an account on GitHub. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). 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. AI-powered developer platform Sample-Superstore-Dataset Exploratory Data Analysis - Retail Perform "Exploratory Data Analysis" on dataset SampleSuperstore. visualization of 2018-2021 superstore sample data in US . keyboard_arrow_up. You switched accounts on another tab or window. GitHub is where people build software. 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. This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. 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. , Standard Class, Second Class, First Class, Same Day). 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. Sample superstore dataset. GitHub community articles Repositories. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Superstore product dateset containing sales and profit that group by into furniture, office supplies and technology. It provides insights into sales performance across different regions, product categories, and customer segments. txt and test. Perform Exploratory Data Analysis on Sample Superstore dataset. They also want to know what category of product that contribute the You signed in with another tab or window. How to use the dataset The files train. 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. Country: Country where the order was shipped. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. 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. - SuperStore-Dataset-2019-2022/README. Topics Trending Collections Enterprise Enterprise platform Sample-Superstore-Retail-Analysis. 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 project presents an in-depth analysis of the Sample Superstore dataset using Microsoft Excel. 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. Reload to refresh your session. This corporate style viz is a different take on the classic Tableau Superstore data set. 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. 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. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. You signed in with another tab or window. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. 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. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Dashboard Creation: Use the dataset to create visuals as described in the project details. 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. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. As a business manager, try to find out the weak areas where you can work to make more profit. Download the Dataset: Ensure you have the Sample Superstore dataset. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. 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. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. , 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. A Interactive tableau dashboard is created using Parameters, Calculation Fields, filters and LOD functions. tmpn xua hry rnta rwzlp nlc ccqxkpu nxdq hakzt rxssr