Sample superstore dataset csv github. visualization of 2018-2021 superstore sample data in US .

Sample superstore dataset csv github 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. Visualizations help us understand data patterns, such as sales by region and correlations between variables. You signed in with another tab or window. Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. Sample Super Store Analysis Project description: perform an Exploratory Data Analysis on the Sample Superstore dataset. 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. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. txt and test. The dataset is in a CSV format with 51,290 observations and 24 features. Perform ‘Exploratory Data Analysis’ on The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Datasets are split in 3 categories: Customers, Users and Organizations. ; Folder /data - Contains all data files . 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. - GauravS You signed in with another tab or window. - EU-Superstore/Sample - EU Superstore. Find and fix vulnerabilities Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. Advanced Security. Datasets used in Plotly examples and documentation - datasets/amazon-purchases-sample. Find and fix vulnerabilities Write better code with AI Code review. 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. 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. 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. csv - Raw sales data (source in Project Overview); train. Topics Trending it is the Global Superstore dataset obtained from Kaggle. It contains information about sales, profits, discounts, categories, regions, and other relevant attributes for a sample superstore. csv'. The aim of this work is to analyze a dataset of purchases in an anonymous online store. 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. Write better code with AI Code review. EDA provides valuable insights for data-driven decision-making to improve the store's operations and profitability. 02 MB. csv at master · ANANYAJENA/Datasets Contribute to bipulshahi/Dataset development by creating an account on GitHub. 33 MB. For each, sample CSV files range from 100 to 2 millions records. 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. Optionally, files can be compressed to . Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. 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. Learn more. Topics Sample-Superstore. 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. GitHub is where people build software. 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. - neeldave10/-GRIPJUL Write better code with AI Code review. csv - Monthly total sales data from January 2011 Datasets used in Plotly examples and documentation - datasets/diabetes. 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. BI QUESTIONS. 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. Manage code changes SAMPLE_SUPERSTORE The Super Store dataset contains data on order details of customers for orders of a superstore in the US. About the Data. Sample Superstore Dashboard - Ogunbod/Superstore-Analysis GitHub community articles Repositories. 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. The goal is to identify trends, optimize profitability, and provide actionable insights to enhance the store's performance. - Sample-Superstore-Dataset-Analysis/Analysis of Super Store - DA. 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. using ARIMA and Prophet models, on a superstore dataset. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. We read every piece of feedback, and take your input very seriously. AI-powered developer platform Contribute to Shivaji39/EDA-on-samplesuperstore-dataset development by creating an account on GitHub. - Mohab29/Sample-Superstore The project focuses on a comprehensive examination of the SuperStore dataset to gain valuable insights and identify areas for improvement. ipynb - Main Python code that predicts sales. Through comprehensive analysis and visualization, this project seeks to uncover potential business problems and derive actionable insights. The dataset contains several attributes, including sales, profit, order date, ship date, and more. sql. 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. 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. Code. This is an exploaratory data analysis using 'sample superstore' dataset :- https://bit. Country: Country where the order was shipped. csv. Contribute to bipulshahi/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. . 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. 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. 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. Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. GitHub Gist: instantly share code, notes, and snippets. 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. ; SuperStoreSalesinR. Reload to refresh your session. Topics Trending Collections Enterprise Enterprise platform. The SampleSuperstore dataset contains information about a fictional superstore's sales, profit, and other related attributes. SampleSuperstore. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. S This project uses Python to analyze a retail sales dataset, focusing on sales trends, customer segmentation, and product performance. Superstore Sales Dataset 2015 – 2018. , Consumer, Corporate, Home Office). csv at master · plotly/datasets Sample superstore dataset contains 13 columns and 9995 rows of observation. 🗺️📈 Additionally, the dashboard offers a Write better code with AI Code review. ipynb at master · leonism/sample-superstore GitHub community articles Repositories. 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. The data can be accessed via this link. 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. To get started with this project, you'll need to have access to Google Colab. 🛒💡 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 . Manage code changes Superstore Sales Dataset 2015 – 2018. Enterprise-grade AI Original dataset taken from Tableau public dataset website. The dataset used in this analysis is called 'SampleSuperstore. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. sh) Superstore-dataset Analysed the products, regions, categories, and consumer segments the store needs to concentrate on. 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. Enterprise-grade security features GitHub Copilot. Manage code changes This project was done as a part of The Sparks Foundation GRIP Internship. Find the Superstore dataset that I have used in my article Tableau for Beginners - Data Visualisation Made Easy. AI-powered developer platform Available add-ons. giaunguyenvan / Superstore. 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). This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. \\n\","," \" \\n\","," \" \\n\","," \" \\n\","," \" Row ID \\n\","," \" Order Date \\n\","," \" Ship Date Host and manage packages Security. Contribute to zahiernasrudin/datasets development by creating an account on GitHub. How to use the dataset The files train. Practice Your Data Analysis Skills as a Superstore Data Analyst. Also, We will find out business problems that can derived by exploring the data. 3. xls. xlsx at master · ANANYAJENA/Datasets Contribute to RishabLal/Analysis_Of_Superstore_Dataset development by creating an account on GitHub. , Standard Class, Second Class, First Class, Same Day). Contribute to Arkronus/sample_superstore_datasets development by creating an account on GitHub. This project involves analyzing and visualizing an e-commerce dataset to gain insights into product trends, customer behavior, and sales strategies. txt in the folder dataset You signed in with another tab or window. 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. File metadata and controls. The dataset comprises sales data across various categories and regions. Those CSV files can be used for testing purpose. Write better code with AI Step 1: Load data into Power BI Desktop, dataset is a CSV file. Perform ‘Exploratory You signed in with another tab or window. Contribute to dmadhav3/EDA---Sample-Superstore-Retail-Dataset development by creating an account on GitHub. html - Main R code HTML output. Manage code changes You signed in with another tab or window. Sample Database for a Webshop with customers, products and orders, Write better code with AI Code review. csv at main · roy628182/GitHub-repository-on-Pandas-with-a Find and fix vulnerabilities Codespaces. Manage code changes Contribute to rohan2315/EDA-Superstore-Dataset development by creating an account on GitHub. superstore_dataset2011-2015. Contribute to parth2104/Exploratory-Data-analysis--Retail-SuperStore-dataset 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 Contribute to Aditya-Rao-34/Sample_Superstore_Data_Analysis development by creating an account on GitHub. Rmd - Main R code that predicts sales. Objective: The primary goal is to identify weak areas impacting profitability within the Superstore business. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. g. - FloZewi/E-commerce-Data-Analysis The dataset, from Instacart, comprises 3M+ grocery orders by 200K+ users. The Superstore dataset consists of 21 columns and 99,944 rows, offering a comprehensive view of the company's operations. ly/3i4rbWl DATASET : SAMPLESUPERSTORE. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. 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. AI-powered developer platform Superstore. - Wunmi-O/Superstore Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. Raw. sample_store. Top 5 Product Categories by Total Sales: The bar chart highlights the top-performing product # 4. 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. csv at main · Nrj27/Sample-Superstore-Dataset-Analysis Taken from Kaggle Superstore Dataset. csv) turned into multiple CSVs; CSVs imported into Mongo (mongo-import. 66, and average discount as $0. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/01- Data Exploration - SampleSuperStore. 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. In response to escalating market competition, the Superstore seeks strategic insights to optimize products, regions, categories, and customer segments. Contribute to eshachavan/EDA-on-SampleSuperstore-Dataset development by creating an account on GitHub. EU Superstore data was analyzed and visualized. Skills used - SQL, EXCEL, POWERBI - gayatrini/Sample_Superstore_Dashboard GitHub community articles Repositories. Contribute to Houra-batool/Superstore-Dataset development by creating an account on GitHub. Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. 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. 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. Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore-Subset-Excel. Analysis of Sample SuperStore Dataset. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. ) Footer Just a simple data dump from SQL's Northwind database to a CSV; CSV (northwind. - Bike-Sales-Analysis/Excel Project Dataset. Analysed the products, regions, categories, and consumer segments the store needs to steer clear of. Some improvement like data type and value of the column Contribute to 21691A3714/Analysis-of-superstore-dataset development by creating an account on GitHub. 2. Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. //bit. 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. Applied different Visualization techniques on the Practice Your Data Analysis Skills as a Superstore Data Analyst. AI-powered developer platform You signed in with another tab or window. You switched accounts on another tab or window. Sample super store This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Contribute to aicouncil/Dataset development by creating an account on GitHub. visualization of 2018-2021 superstore sample data in US . Segment: Customer segment (e. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. It begins with data exploration and preprocessing to ensure data quality and integrity. This project is about making the dashboards using the sample superstore dataset in the tableau. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). README; TableauTutorial-SuperstoreData. This project is an analysis of the Sample SuperStore dataset. Getting Started. 16 provides a comprehensive view of the Superstore dataset. Uses SQL to analyze a sample Superstore database. Blame. Contribute to johnreygoh/datasets development by creating an account on GitHub. 💼 Here's a quick overview of what you'll find in the dashboard: Write better code with AI Code review. The insights gleaned are then translated into a dynamic dashboard, offering a user-friendly visual narrative of the sales landscape for informed decision-making. Various visualizations are provided in order to SuperstoreSalesPredictor. 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. It includes order specifics, product sequences, order timing, and aisle/department info. ly/3i4rbWl - Raj6383/Sample-Superstore-Analysis. In this case, we will perform EDA on Superstore. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders. 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. AI-powered developer platform Sample - EU Superstore. This Notebook is running on top of the following stacks You signed in with another tab or window. update: SQL file of superstore has been improved with name new_superstore. As a business manager, try to find out the weak areas where you can work to make more profit. View raw (Sorry about that, but we can’t show files that are this big right now. Available in csv, xlsx and sql format. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. Resources Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. Datasets used in Plotly examples and documentation - datasets/tips. This includes the state, region, order date, shipping date, product ordered etc. Created This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. - 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. Contribute to Bhavani077/SampleSuperStoreSalesAnalysis development by creating an account on GitHub. Something went wrong and this page crashed! If the This repository contains sample Comma Separated Value (CSV) files. Manage code changes This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/02- Data Cleaning - SampleSuperStore. txt , val. 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. csv dataset using Tableau. Skip to content. Contribute to RishabLal/Analysis_Of_Superstore_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. GitHub community articles Repositories. Task 3. OK, Got it. 86, average profit as $28. "# EDA_Sample-Superstore" We started by importing libraries such as numpy and pandas. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. Sales, profits, shipping modes were analyzed on country, state and regional bases. Tableau is an interactive data viz software that aims to help people see and understand data. In Excel, we employ Pivot Tables to meticulously analyze bike sales data, unraveling trends and key indicators. By importing necessary libraries and loading the data, we explore its structure and check for missing values and duplicates. Preview. Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. You signed out in another tab or window. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. 833 lines (833 loc) · 19 KB. I've performed Exploratory Data Analysis on the dataset SampleSuperstore. Plan and track work Code Review. gz. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders_1. A Tableau Project. I've analysed the data and gained valuable insights through it You signed in with another tab or window. 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. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Top. csv We can't make this file beautiful and searchable because it's too large. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Created different visualizations using calculated fields, parameters & charts as the dashboard. csv This is an EDA project with a Superstore Dataset from GitHub - Superstore-Dataset/Sample - Superstore. xls at master · ARAPIL/EU-Superstore datascience powerbi tableau sample datasets. 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. CSV is a generic flat file format used to store structured data. ksfr csh vktrg pxfbw pmeyo sesch xdci bpl sofcs uvl