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