Sample superstore dataset csv github. Write better code with AI Code review.

Sample superstore dataset csv github Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. For each, sample CSV files range from 100 to 2 millions records. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Manage code changes Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. yearly_sales. Find and fix vulnerabilities A Tableau Project. csv" containing sales made between 2014 and 2017 by the store. Datasets are split in 3 categories: Customers, Users and Organizations. I've analysed the data and gained valuable insights through it to improve Sales. csv'. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. Manage code changes Contribute to parth2104/Exploratory-Data-analysis--Retail-SuperStore-dataset development by creating an account on GitHub. Contribute to azhar2ds/DataSets development by creating an account on GitHub. This project uses Python to analyze a retail sales dataset, focusing on sales trends, customer segmentation, and product performance. You switched accounts on another tab or window. Manage code changes You signed in with another tab or window. Saved searches Use saved searches to filter your results more quickly Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Contribute to shekhs/SampleSuperstore-EDA development by creating an account on GitHub. Analyze sales performance, profit margins, and shipping efficiency using Python and data from a sample Superstore dataset. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. twb to open the Tableau workbook. Based on the responses, top 10 predictors / factors affecting the coffee brand is found by implementing mac 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. In this case, we will perform EDA on the "SampleSuperstore" dataset to better This repository contains sample Comma Separated Value (CSV) files. Manage code changes Just a simple data dump from SQL's Northwind database to a CSV; CSV (northwind. Saved searches Use saved searches to filter your results more quickly. Task 3: Exploratory Data Analysis Retail GRIP@The Sparks Foundation Name: Ashutosh Kumar #GRIPMAY21 #TSF #DATASCIENCE #GRIP Dataset: https://bit. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. Step 1: Load data into Power BI Desktop, dataset is a CSV file. csv at main · Nrj27/Sample-Superstore-Dataset-Analysis This is an EDA project with a Superstore Dataset from GitHub - Superstore-Dataset/Sample - Superstore. csv at master · Wunmi-O/Superstore You signed in with another tab or window. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Contribute to ajaykuma/Datasets_For_Work development by creating an account on GitHub. csv - Sales data grouped using MS frequency. So once that you download Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. 7; Pandas 1. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Reload to refresh your session. Manage code changes Write better code with AI Code review. Superstore Sales Dataset 2015 – 2018. Those CSV files can be used for Contribute to bipulshahi/Dataset development by creating an account on GitHub. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Find and fix vulnerabilities You signed in with another tab or window. I have created an interactive dashboard to track and analyze online sales data. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. This is a sample subset which is derived from the "Amazon Products (public data)" dataset which includes more than 269,400,000 products. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/01- Data Exploration - SampleSuperStore. Download here Tools # 4. Saved searches Use saved searches to filter your results more quickly Write better code with AI Code review. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional I've performed Exploratory Data Analysis on the dataset SampleSuperstore. It contains information about sales, profits, discounts, categories, regions, and other relevant attributes for a sample superstore. Saved searches Use saved searches to filter your results more quickly Write better code with AI Security. Display a Mar 16, 2012 · Sample data. In Excel, we employ Pivot Tables to meticulously analyze bike sales data, unraveling trends and key indicators. This Notebook is running on top of the following stacks : Python 3. This project is an analysis of the Sample SuperStore dataset. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders. Key insights are visualized through heatmaps and time series plots, using libraries like Pandas, Matplotlib, and Seaborn. csv - Monthly total sales data from January 2014 - December 2014. This project uncovers actionable insights into customer behavior, category performance, and regional trends, offering eCommerce businesses data-driven strategies for growth and optimization. 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. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. 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. 💼 Here's a quick overview of what you'll find in the dashboard: Contribute to eshachavan/EDA-on-SampleSuperstore-Dataset development by creating an account on GitHub. The insights gleaned are then translated into a dynamic dashboard, offering a user-friendly visual narrative of the sales landscape for informed decision-making. csv at main · roy628182/GitHub-repository-on-Pandas-with-a-Superstore-dataset- 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. 🗺️📈 Additionally, the dashboard offers a About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. csv` dataset on a directory called `data`. ipynb at master · leonism/sample-superstore Here, As a business manager, we will try to find out the weak areas where we can work to make more profit. sh) You signed in with another tab or window. Releases · Khakang/Cybertrend-Superstore-Sample. Manage code changes 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. ipynb at master · leonism/sample-superstore Write better code with AI Code review. 0. ly/3i4rbWl DATASET : SAMPLESUPERSTORE. Perform Exploratory Data Analysis (EDA) on dataset ‘SampleSuperstore and as business manager, find the weak areas to work to make more profit - Exporatory-Data Contribute to 21B01A0563/analysis-of-sample-store-dataset development by creating an account on GitHub. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. sh) Write better code with AI Code review. Coffee Dataset consists of 3035 customers survey response for 12 different coffee brands. The dashboard allows users to upload a file, filter data based on date ranges and geographical attributes, and explore various visualizations and summaries related to sales data. The dashboard offers valuable insights on various aspects, including sales comparisons across states, the top-spending customer, the most popular product category, preferred payment mode, profitable months, and the sub-category driving maximum profits for Madhav E-Commerce Store. Those CSV files can be used for testing purpose. csv - Sales data grouped using YS frequency. Find and fix vulnerabilities Data Exploration: Sample SuperStore Dataset it's implying that we need to put our `superstore. 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 binary classification problem. 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 to make more profit. Exploratory Data Analysis(EDA) on SampleSuperstore Dataset - yashbhanu/EDA--Exploratory-Data-Analysis--SampleSuperstore This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Comparing Supervised Machine Learning Regression Techniques To Predict Profit By Product Category Using Tableau's Sample-Superstore Dataset - Lwhieldon/Tableau-s-Superstore-Price-Prediction Jun 16, 2024 · You signed in with another tab or window. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. txt , val. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders_1. Sample super store 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 This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. - Sample-Superstore-Dataset-Analysis/Analysis of Super Store - DA. Practice Your Data Analysis Skills as a Superstore Data Analyst Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Manage code changes Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. Contribute to RishabLal/Analysis_Of_Superstore_Dataset development by creating an account on GitHub. Used for validation. Write better code with AI Security. Plan and track work Code Review. gz. Contribute to gandipriyanka09/DataSets development by creating an account on GitHub. About. 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. Write better code with AI This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. To get started with this project, you'll need to have access to Google Colab. 4 Sep 25, 2021 · Superstore. Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. This is an exploaratory data analysis using 'sample superstore' dataset :- https://bit. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. Tableau will automatically connect to the dataset and load the visualizations. The datasets can be used in any software application compatible with CSV files. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. - ashutosh2143/asdfghjkl test. csv at main · roy628182/GitHub-repository-on-Pandas-with-a-Superstore-dataset- This repository contains sample Comma Separated Value (CSV) files. Optionally, files can be compressed to . Quick Practice - robert-bugna/superstoredataset You signed in with another tab or window. - EU-Superstore/Sample - EU Superstore. (Sorry about that, but we can’t show files that are this big right now By importing necessary libraries and loading the data, we explore its structure and check for missing values and duplicates. Explore trends, patterns, and key metrics to inform strate datascience powerbi tableau sample datasets. Resources You signed in with another tab or window. The dataset contains several attributes, including sales, profit, order date, ship date, and more. By analysing this dataset, the project seeks to Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. EU Superstore data was analyzed and visualized. txt and test. Host and manage packages Security. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset I completed the IBM SkillsBuild Data Analytics Internship Program to develop my Data Analytics skills and apply them to a real-world problem by working on this project. csv) turned into multiple CSVs; CSVs imported into Mongo (mongo-import. initial_sales. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/02- Data Cleaning - SampleSuperStore. You signed in with another tab or window. Manage code changes 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. CSV is a generic flat file format used to store structured data. csv is in the same directory as the Tableau workbook. The dataset is in a CSV format with 51,290 observations and 24 features. Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. Also, We will find out business problems that can derived by exploring the data. Learn more Place the Dataset: Ensure that Superstore sales dataset. We read every piece of feedback, and take your input very seriously. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the customer sales trends, which will help the supermarket Sample SuperStore. The data can be accessed via this link. This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. 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. Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. Getting Started. csv - Sales data grouped by Order Date; daily_sales. Saved searches Use saved searches to filter your results more quickly The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. This repository contains sample code and sample data for The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. sample dataset. You signed out in another tab or window. ly/3i4rbWl language and libraries used: Python, pandas, numpy, matplotlib, seaborn IDE used: Jupyter notebook Contribute to rohan2315/EDA-Superstore-Dataset development by creating an account on GitHub. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. 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. The dataset used in this analysis is called 'SampleSuperstore. Sample superstore dataset Exploration. This is a detailed analysis on customer behavior analysis. Dataset: Sample Superstore data including sales, customers, and products Just a simple data dump from SQL's Northwind database to a CSV; CSV (northwind. This is an exploratory data analysis of a superstore data set to provide actionable insights into the business and find areas of improvements in sales and profits. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. Visualizations help us understand data patterns, such as sales by region and correlations between variables. 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. Sample - Superstore: the primary dataset used for this analysis is the "sample-superstore. Find and fix vulnerabilities Practice Your Data Analysis Skills as a Superstore Data Analyst Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Open the Tableau Workbook: Double-click on Superstore sales analysis. The SampleSuperstore dataset contains information about a fictional superstore's sales, profit, and other related attributes. As a business manager, try to find out the weak areas where you can work to make more profit. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. monthly_sales. xls at master · ARAPIL/EU-Superstore Analysis of Sample SuperStore Dataset. The aim of this work is to analyze a dataset of purchases in an anonymous online store. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ 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. Host and manage packages You signed in with another tab or window. 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. The data was sourced from Kaggle in CSV format. Contribute to johnreygoh/datasets development by creating an account on GitHub. 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. Contribute to royanfauzimaulana25/Datasets development by creating an account on GitHub. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. How to use the dataset The files train. Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. - 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 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 We read every piece of feedback, and take your input very seriously. Deleted the This Streamlit-based dashboard provides an exploratory data analysis (EDA) of the Sample SuperStore dataset. Learn more Contribute to zahiernasrudin/datasets development by creating an account on GitHub. - Superstore/SampleSuperstore. This Notebook is running on top of the following stacks Sample Super Store Analysis Project description: perform an Exploratory Data Analysis on the Sample Superstore dataset. Contribute to 21691A3714/Analysis-of-superstore-dataset development by creating an account on GitHub. csv There aren’t any releases here You can create a release to package software, along with release notes and links to binary files, for other people to use. 🛒💡 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 . This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. You can download sample CSV files here for testing purposes. csv at master · ANANYAJENA/Datasets 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 Host and manage packages Security. csv We can't make this file beautiful and searchable because it's too large. Write better code with AI Code review. Sales, profits, shipping modes were analyzed on country, state and regional bases. csv at main · michaelrollins23/Superstore-Dataset Taken from Kaggle Superstore Dataset. csv - Sales data grouped using D frequency. An easy tool to edit CSV Contribute to Houra-batool/Superstore-Dataset development by creating an account on GitHub. nzfaxw qojbt inwoson sfuxkd zims bjws wkfao dabop mktbywe earcnj