Sample superstore dataset github. ipynb at master · leonism/sample-superstore .

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