Sample superstore dataset csv github - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders_1. Visualizations help us understand data patterns, such as sales by region and correlations between variables. Sample Super Store Analysis Project description: perform an Exploratory Data Analysis on the Sample Superstore dataset. Write better code with AI Code review. Perform ‘Exploratory You signed in with another tab or window. This Notebook is running on top of the following stacks You signed in with another tab or window. csv - Monthly total sales data from January 2011 Datasets used in Plotly examples and documentation - datasets/diabetes. Sample super store This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. 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 dataset consists of 21 columns and 99,944 rows, offering a comprehensive view of the company's operations. Manage code changes A modern and easy-to-use data cleansing tool for your lists and CRM data In this video you'll see EDA done again on SampleSuperstore. I've analysed the data and gained valuable insights through it You signed in with another tab or window. Manage code changes Superstore Sales Dataset 2015 – 2018. A Tableau Project. Manage code changes The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. Contribute to bipulshahi/Dataset development by creating an account on GitHub. 66, and average discount as $0. 16 provides a comprehensive view of the Superstore dataset. Country: Country where the order was shipped. csv at master · plotly/datasets The dataset includes detailed order information, customer demographics, product categories, and financial metrics such as sales, profit, and cost of goods sold (COGS). Contribute to Arkronus/sample_superstore_datasets development by creating an account on GitHub. You switched accounts on another tab or window. Contribute to zahiernasrudin/datasets development by creating an account on GitHub. Perform ‘Exploratory Data Analysis’ on The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. ; SuperStoreSalesinR. 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. Top 5 Product Categories by Total Sales: The bar chart highlights the top-performing product # 4. - Bike-Sales-Analysis/Excel Project Dataset. Analysis of Sample SuperStore Dataset. 833 lines (833 loc) · 19 KB. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. Contribute to Bhavani077/SampleSuperStoreSalesAnalysis development by creating an account on GitHub. . - GauravS You signed in with another tab or window. Contribute to parth2104/Exploratory-Data-analysis--Retail-SuperStore-dataset development by creating an account on GitHub. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. Datasets used in Plotly examples and documentation - datasets/tips. Preview. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. 3. superstore_dataset2011-2015. - neeldave10/-GRIPJUL Write better code with AI Code review. 2. Quick Practice - robert-bugna/superstoredataset Here, As a business manager, we will try to find out the weak areas where we can work to make more profit. Write better code with AI Step 1: Load data into Power BI Desktop, dataset is a CSV file. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. Practice Your Data Analysis Skills as a Superstore Data Analyst. - EU-Superstore/Sample - EU Superstore. csv dataset using Tableau. Excited to share my latest project! I've created a powerful Power BI dashboard using the Superstore dataset, and I'm thrilled with the insights it provides. And import the dataset, Now I have done some exploratory data analysis, Here ,I have checked if there are null values in the dataframe or not. Superstore Sales Dataset 2015 – 2018. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Something went wrong and this page This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Applied different Visualization techniques on the Practice Your Data Analysis Skills as a Superstore Data Analyst. csv at main · roy628182/GitHub-repository-on-Pandas-with-a Find and fix vulnerabilities Codespaces. Also, We will find out business problems that can derived by exploring the data. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). Plan and track work Code Review. update: SQL file of superstore has been improved with name new_superstore. csv at main · Shafana123/Bike-Sales-Analysis About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. AI-powered developer platform Sample - EU Superstore. Some improvement like data type and value of the column Contribute to 21691A3714/Analysis-of-superstore-dataset development by creating an account on GitHub. View raw (Sorry about that, but we can’t show files that are this big right now. csv at main · roy628182/GitHub-repository-on-Pandas-with-a This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore About. - Sample-Superstore-Dataset-Analysis/Analysis of Super Store - DA. Contribute to johnreygoh/datasets development by creating an account on GitHub. Datasets are split in 3 categories: Customers, Users and Organizations. AI-powered developer platform Contribute to Shivaji39/EDA-on-samplesuperstore-dataset development by creating an account on GitHub. xls at master · ARAPIL/EU-Superstore datascience powerbi tableau sample datasets. Enterprise-grade AI Original dataset taken from Tableau public dataset website. CSV is a generic flat file format used to store structured data. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore. using ARIMA and Prophet models, on a superstore dataset. xls. gz. 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 an exploaratory data analysis using 'sample superstore' dataset :- https://bit. csv We can't make this file beautiful and searchable because it's too large. Manage code changes You signed in with another tab or window. visualization of 2018-2021 superstore sample data in US . Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. Raw. Optionally, files can be compressed to . The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. 💼 Here's a quick overview of what you'll find in the dashboard: Write better code with AI Code review. Segment: Customer segment (e. GitHub is where people build software. As a business manager, try to find out the weak areas where you can work to make more profit. AI-powered developer platform Superstore. 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. Instant dev environments I've crafted an interactive dashboard for the Sample Superstore dataset, focusing on analyzing Total Sales , Total Quantity, Total Profit and Profit Margins trends over time. txt , val. It begins with data exploration and preprocessing to ensure data quality and integrity. This project involves analyzing and visualizing an e-commerce dataset to gain insights into product trends, customer behavior, and sales strategies. The SampleSuperstore dataset contains information about a fictional superstore's sales, profit, and other related attributes. File metadata and controls. EDA provides valuable insights for data-driven decision-making to improve the store's operations and profitability. Uses SQL to analyze a sample Superstore database. For each, sample CSV files range from 100 to 2 millions records. ) Footer Just a simple data dump from SQL's Northwind database to a CSV; CSV (northwind. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. The dataset contains information about sales, customers, products, and orders from a An introduction to Sample SuperStore Dataset Walkthrough, Using Python and the Pandas Library, while utilizing Jupyter Notebook as the IDE. GitHub community articles Repositories. In response to escalating market competition, the Superstore seeks strategic insights to optimize products, regions, categories, and customer segments. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. CSV Problem Statement: Perform Exploratory Data Analysis on dataset Sample Superstore As a business manager, try to find out the weak areas where you can work GitHub community articles Repositories. csv at main · Nrj27/Sample-Superstore-Dataset-Analysis Taken from Kaggle Superstore Dataset. Reload to refresh your session. "# EDA_Sample-Superstore" We started by importing libraries such as numpy and pandas. Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore-Subset-Excel. S This project uses Python to analyze a retail sales dataset, focusing on sales trends, customer segmentation, and product performance. Find and fix vulnerabilities Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. xlsx at master · ANANYAJENA/Datasets Contribute to RishabLal/Analysis_Of_Superstore_Dataset development by creating an account on GitHub. Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. g. Blame. We read every piece of feedback, and take your input very seriously. ly/3i4rbWl - Raj6383/Sample-Superstore-Analysis. ; Folder /data - Contains all data files . You signed out in another tab or window. To get started with this project, you'll need to have access to Google Colab. Sales, profits, shipping modes were analyzed on country, state and regional bases. Through comprehensive analysis and visualization, this project seeks to uncover potential business problems and derive actionable insights. I've performed Exploratory Data Analysis on the dataset SampleSuperstore. The data can be accessed via this link. 02 MB. Code. Manage code changes This project was done as a part of The Sparks Foundation GRIP Internship. You signed in with another tab or window. The dataset comprises sales data across various categories and regions. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders. Resources Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Datasets used in Plotly examples and documentation - datasets/amazon-purchases-sample. Sample Superstore Dashboard - Ogunbod/Superstore-Analysis GitHub community articles Repositories. Find and fix vulnerabilities Write better code with AI Code review. The dataset contains several attributes, including sales, profit, order date, ship date, and more. Top. Advanced Security. About the Data. In this case, we will perform EDA on Superstore. The aim of this work is to analyze a dataset of purchases in an anonymous online store. //bit. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. By importing necessary libraries and loading the data, we explore its structure and check for missing values and duplicates. 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 is a sample subset which is derived from the "Amazon Products (public data)" dataset which includes more than 269,400,000 products. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. Product Sales that were made in a Superstore, established in United States, over a span Saved searches Use saved searches to filter your results more quickly The dashboard includes the following visualizations and insights: Average Sales, Profit, and Discount: A combination chart showing average sales as $229. Contribute to eshachavan/EDA-on-SampleSuperstore-Dataset development by creating an account on GitHub. The sample was taken from the legendary 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 losses. Various visualizations are provided in order to SuperstoreSalesPredictor. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. Perform Exploratory Data Analysis (EDA) on dataset ‘SampleSuperstore and as business manager, find the weak areas to work to make more profit - Exporatory-Data You signed in with another tab or window. This includes the state, region, order date, shipping date, product ordered etc. giaunguyenvan / Superstore. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. sql. sample_store. Adith Sreeram A S In this task we have to 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. How to use the dataset The files train. 86, average profit as $28. Contribute to Houra-batool/Superstore-Dataset development by creating an account on GitHub. Key insights are visualized through heatmaps and time series plots, using libraries like Pandas, Matplotlib, and Seaborn. Contribute to dmadhav3/EDA---Sample-Superstore-Retail-Dataset development by creating an account on GitHub. AI-powered developer platform You signed in with another tab or window. Copiers sub-category has highest sales ans has maximum profit from sub-categories,we need to make a plan so that we can do to increase the sales and profits of other sub-categories also. This project is an analysis of the Sample SuperStore dataset. txt and test. 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. ly/3i4rbWl language and libraries used: Python, pandas, numpy, matplotlib, seaborn Task 3: Exploratory Data Analysis Retail GRIP@The Sparks Foundation Name: Ashutosh Kumar #GRIPMAY21 #TSF #DATASCIENCE #GRIP Dataset: https://bit. AI-powered developer platform Available add-ons. In Excel, we employ Pivot Tables to meticulously analyze bike sales data, unraveling trends and key indicators. The dataset used in this analysis is called 'SampleSuperstore. html - Main R code HTML output. 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. Objective: The primary goal is to identify weak areas impacting profitability within the Superstore business. txt in the folder dataset You signed in with another tab or window. Topics Trending Collections Enterprise Enterprise platform. Contribute to RishabLal/Analysis_Of_Superstore_Dataset development by creating an account on GitHub. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional insights, and customer segmentation. Those CSV files can be used for testing purpose. Rmd - Main R code that predicts sales. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-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. Manage code changes SAMPLE_SUPERSTORE The Super Store dataset contains data on order details of customers for orders of a superstore in the US. The insights gleaned are then translated into a dynamic dashboard, offering a user-friendly visual narrative of the sales landscape for informed decision-making. sh) Superstore-dataset Analysed the products, regions, categories, and consumer segments the store needs to concentrate on. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Contribute to Aditya-Rao-34/Sample_Superstore_Data_Analysis development by creating an account on GitHub. Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. 🗺️📈 Additionally, the dashboard offers a Write better code with AI Code review. csv at master · plotly/datasets Sample superstore dataset contains 13 columns and 9995 rows of observation. Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. Using this software, seven visualization charts (Worksheets) have Contribute to iriss-bit/SQL-Portfolio-Kaggle-Dataset-SuperStore-Supermarket- development by creating an account on GitHub. csv at master · ANANYAJENA/Datasets Contribute to bipulshahi/Dataset development by creating an account on GitHub. csv This is an EDA project with a Superstore Dataset from GitHub - Superstore-Dataset/Sample - Superstore. ipynb - Main Python code that predicts sales. Sample-Superstore-dataset 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 and how to increase it further, and if they are in loss how they tend to increase the sales and background works like how they analyze to make profit and improvement in sales. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard GitHub community articles Repositories. csv at master · plotly/datasets Dataset Summary: • Total Rows: 9994 • Columns: 21, including: o Order Details: Order ID, Order Date, Ship Date, Ship Mode o Customer Details: Customer ID This dataset shows the shipped goods to USA superstore, collects information from 9994 item, Each row represents a item, each column contains item’s attributes. The goal is to identify trends, optimize profitability, and provide actionable insights to enhance the store's performance. Find the Superstore dataset that I have used in my article Tableau for Beginners - Data Visualisation Made Easy. shrimp,almonds,avocado,vegetables mix,green grapes,whole weat flour,yams,cottage cheese,energy drink,tomato juice,low fat yogurt,green tea,honey,salad,mineral water You signed in with another tab or window. csv) turned into multiple CSVs; CSVs imported into Mongo (mongo-import. This project is about making the dashboards using the sample superstore dataset in the tableau. Manage code changes This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/02- Data Cleaning - SampleSuperStore. Topics Sample-Superstore. Topics Trending it is the Global Superstore dataset obtained from Kaggle. BI QUESTIONS. - 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 Database for a Webshop with customers, products and orders, Write better code with AI Code review. Getting Started. , Standard Class, Second Class, First Class, Same Day). Manage code changes Contribute to rohan2315/EDA-Superstore-Dataset development by creating an account on GitHub. Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. The dataset contains details about the orders placed by various users, the week and hour of the day the order was placed, and a relative measure of time between orders. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. csv at main · michaelrollins23/Superstore-Dataset The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. csv'. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/01- Data Exploration - SampleSuperStore. Created This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. - FloZewi/E-commerce-Data-Analysis The dataset, from Instacart, comprises 3M+ grocery orders by 200K+ users. 33 MB. By analysing this dataset, the project seeks to uncover patterns, trends, and factors influencing the store's performance to facilitate informed You signed in with another tab or window. csv - Raw sales data (source in Project Overview); train. Learn more. It includes order specifics, product sequences, order timing, and aisle/department info. csv. Tableau is an interactive data viz software that aims to help people see and understand data. 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. Created different visualizations using calculated fields, parameters & charts as the dashboard. The dataset is in a CSV format with 51,290 observations and 24 features. ly/3i4rbWl DATASET : SAMPLESUPERSTORE. - Mohab29/Sample-Superstore The project focuses on a comprehensive examination of the SuperStore dataset to gain valuable insights and identify areas for improvement. - Wunmi-O/Superstore Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. SampleSuperstore. \\n\","," \" \\n\","," \" \\n\","," \" \\n\","," \" Row ID \\n\","," \" Order Date \\n\","," \" Ship Date Host and manage packages Security. , Consumer, Corporate, Home Office). Task 3. Explore trends, patterns, and key metrics to inform strate An EDA on SuperStore Sample dataset that is provided by Sparks Foundation as a part of my Data Science & Business Analysis internship - Youssif22/superstore-dataset-EDA Write better code with AI Security. Contribute to aicouncil/Dataset development by creating an account on GitHub. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. Something went wrong and this page crashed! If the This repository contains sample Comma Separated Value (CSV) files. Analysed the products, regions, categories, and consumer segments the store needs to steer clear of. 🛒💡 With features like selecting a state parameter, users can dive into specific Profit And Sales By regions to examine metrics tailored to their chosen Column Charts . Available in csv, xlsx and sql format. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Here i have performed EDA on a Superstore dataset and tried to make out what's going wrong in the business and what all thing can be improved in order to make more profit. EU Superstore data was analyzed and visualized. It contains information about sales, profits, discounts, categories, regions, and other relevant attributes for a sample superstore. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. 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. Skip to content. I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R All the tools will give us same output but we have to know when to use which tool. Enterprise-grade security features GitHub Copilot. GitHub Gist: instantly share code, notes, and snippets. OK, Got it. README; TableauTutorial-SuperstoreData. kmw zfgk auuspv xnwzv xbrmec gwyub wjn aozhh anlv zfzui