Sample superstore dataset github. Country: Country where the order was shipped.
Sample superstore dataset github. 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. A Interactive tableau dashboard is created using Parameters, Calculation Fields, filters and LOD functions. Analysis: Utilize the dashboards for ~dashboard showcase~ Super Sample Superstore. The dataset contains several attributes, including sales, profit, order date, ship date, and more. How to use the dataset The files train. - 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. Excel file from a sample dataset. Topics Trending Collections Enterprise Enterprise platform. 2. This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). 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 and test. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. 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. Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1. 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. Contribute to Mohana001/Sample_Superstore_dataset development by creating an account on GitHub. 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. You signed out in another tab or window. It provides insights into sales performance across different regions, product categories, and customer segments. Superstore product dateset containing sales and profit that group by into furniture, office supplies and technology. 4; Matplotlib 3. 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. Code for Tableau Tips, Tricks, and Techniques, Published by Packt You signed in with another tab or window. Contribute to JessLShepp/sample_superstore development by creating an account on GitHub. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard This dashboard helps the Superstore management understand their sales and profit distribution better. 1; The learning curve was designed, even for those whose relatively coming from a non-technical background. 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. GitHub community articles Repositories. 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. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/05- Data Pivot - SampleSuperStore. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. 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 is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. , 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. They also want to know what category of product that contribute the You signed in with another tab or window. This includes the state, region, order date, shipping date, product ordered etc. 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. 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. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard GitHub is where people build software. Color code the chart to identify Categories and Segments that are above or below target. Unexpected token < in JSON at position 4. 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. In Refresh. 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. Perform Exploratory Data Analysis on Sample Superstore dataset. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. 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. 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. 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. Country: Country where the order was shipped. Applied different Visualization techniques on the EDA or exploratory data analysis is a very important step when working with data. keyboard_arrow_up. 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. 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. This step helps one get familiar with the dataset before performing any analysis or predictions on it. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. 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. Dataset containing Sales & Profits of a Superstore. A tag already exists with the provided branch name. visualization of 2018-2021 superstore sample data in US . You switched accounts on another tab or window. 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. 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. Reload to refresh your session. This corporate style viz is a different take on the classic Tableau Superstore data set. , Standard Class, Second Class, First Class, Same Day). Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. Sample superstore dataset contains 13 columns and 9995 rows of observation. This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. Sample superstore dataset. The Superstore Data Analysis Project focuses on extracting insights from a retail 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. 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. By analyzing the data, management can identify areas of GitHub is where people build software. The sample was taken This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Topics Trending Collections Pricing; Search Sample 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. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. - Sample-Superstore-PowerBi-Project/README. 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. SyntaxError: Unexpected token < in JSON at position 4. Dashboard Creation: Use the dataset to create visuals as described in the project details. , Consumer, Corporate, Home Office). Uses SQL to analyze a sample Superstore database. GitHub is where people build software. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. This is a detailed analysis Sample SuperStore. 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. Download the Dataset: Ensure you have the Sample Superstore dataset. AI-powered developer platform Sample-Superstore-Dataset Exploratory Data Analysis - Retail Perform "Exploratory Data Analysis" on dataset SampleSuperstore. Topics Trending Collections Enterprise Enterprise platform Contribute to mahsal123/Sample_superstore-dataset-analysis development by creating an account on GitHub. 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. 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. 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 About. This Notebook is running on top of the following stacks : Python 3. 0. . Contribute to adetelz/Superstore-task-3- 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 can optimize its profit levels. using ARIMA and Prophet models, on a superstore dataset. ipynb at master · leonism/sample-superstore. By analyzing the data, management can identify areas of Excel file from a sample dataset. txt , val. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. 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. Topics Trending Collections Enterprise Enterprise platform Sample-Superstore-Retail-Analysis. Our goal was to gain valuable insights and make data-driven recommendations to improve business operations. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1 GitHub community articles Repositories. content_copy. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. ~dashboard showcase~ Super Sample Superstore. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. 7; Pandas 1. ipynb at master · leonism/sample-superstore GitHub community articles Repositories. g. - SuperStore-Dataset-2019-2022/README. This project presents an in-depth analysis of the Sample Superstore dataset using Microsoft Excel. 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. 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. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. md at main · ksashi95/Sample-Superstore-PowerBi-Project Use the Saved Sample – Superstore dataset. - Sample-Superstore-Dataset-Analysis/EDA on Superstore dataset . The Sample Superstore dataset is a fictional sales dataset that contains information about products, customers, and sales for a retail company. Segment: Customer segment (e. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. 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. Create a bullet chart with Category and Segment dimensions and Sales measures. You will learn how to run EDA and perform it on the superstore dataset by using Python and then, visualising and analysing the data. They wants to know the total revenue generated by the store. Power BI exploration of the Sample Superstore dataset. 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. Load into Power BI: Import the dataset into Power BI. 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. zirsa otklo mwbjkmyw nrgfiq cpyxrlr wqmck ljbjmk wlin cayzw iowgn