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Superstore dataset csv github. The dataset is in CSV format, comprising 51,290 observations and 24 features. Find and fix vulnerabilities it is the Global Superstore dataset obtained from Kaggle. - GitHub - Aytaj9/Superstore-Sales-Analysis: The objective of this project is to create a comprehensive Tableau dashboard utilizing the superstores sales dataset to Superstore Sales Dataset 2015 – 2018. Welcome to the Global Superstore Sales Analysis GitHub repository! This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with Saved searches Use saved searches to filter your results more quickly Write better code with AI Security. The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset Power BI dashboard of sales and 15 days sales forcasting - 2003arpit/Sales-dashboard-forcasting Saved searches Use saved searches to filter your results more quickly So now the dataset is very clean and ready to be exported to csv file with UTF-8 encoding. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. csv in the folder dataset. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. 2. The primary objective was to clean, transform, and analyze the data to create an interactive dashboard that highlights key performance indicators and sales trends across different regions. Code. df2= df. Contribute to aayushvijay23/SuperStore-DataSet-Analysis development by creating an account on GitHub. csv at main · michaelrollins23/Superstore-Dataset 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. You can access the dataset here. You switched accounts on another tab Architected a SQL-based Superstore Data Warehouse to analyse trends of customer records to identify profitable market segments and designed Quarterly Sales Forecasting Dashboard to Host and manage packages Security. This corporate style viz is a different take on the classic Tableau Superstore data set. Clone the repository and open the '. Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. Contribute to sweetgopal/first-repository development by creating an account on GitHub. This project focuses on analyzing and visualizing the Superstore Sales Data using Power BI to derive actionable business insights. SuperStoreOrders Dataset. Enterprise Personal Project. Leveraging Python, Streamlit, Pandas, You signed in with another tab or window. The dataset contains information about sales, customers, products, and orders from a This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. - WMF07/SuperStore-SalesDashboard 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. Write better code with AI Security. AI-powered developer platform Available add-ons. Raw. Cannot retrieve latest commit at this time. You switched accounts on another tab The aim of this work is to analyze a dataset of purchases in an anonymous online store. A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard The Power BI Superstore Sales Analysis Project is a comprehensive, hypothetical data analytics solution designed to simulate real-world business challenges in assessing and predicting key Contribute to PySpaceCode/Global-Superstore development by creating an account on GitHub. The aim of this work is to analyze a dataset of purchases in an anonymous online store. Top. Contribute to Natasha-Data/Datasets development by creating an account on GitHub. python data-science machine-learning anaconda numpy excel office pandas data-visualization data-analysis matplotlib arima furniture prophet statsmodels spyder itertools time-series-analysis time-series-forecasting superstore The 81 fine-grained classes and their coarse-grained classes can be found in classes. csv. ) Footer This project aims to analyze and forecast e-commerce sales data from the Superstore using powerful data analysis techniques, with a particular focus on time series analysis. Instant dev environments Analysis using EDA and Regression. set_index("Date", inplace=True) Lets see how our dataset looks The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. The classes corresponding label (an integer) is also included in addition to the paths to their iconic image and the product description. File metadata and controls. Feel free to download the dataset and apply it to your model. Find and fix vulnerabilities This project uses data from Tableau Public on Customer transactions to compute RFM (Recency, Frequency, Monetary Value) and then segment customer order days through kmeans You signed in with another tab or window. csv We can't make this file beautiful and searchable because it's too large. Utilizing data analysis techniques , specifically focusing on time series analysis to provide valuable insights and accurate sales forecasts. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard EDA and ML with Superstore Dataset off Kaggle. (Sorry about that, but we can’t show files that are this big right now The primary dataset used for this analysis is the "sales data. Host and manage packages Security. For deploying customer segmentation in e GitHub Copilot. Topics Trending Collections Enterprise Enterprise platform. Visualizations: Total Contribute to snehajha11/SuperStore-Sales development by creating an account on GitHub. This was provided by the Incubator Hub. "Superstore Sales Analysis" conducts comprehensive data exploration and hypothesis testing to derive actionable insights for optimizing sales strategies and increasing profitability in a Superstore Sales and profit. csv is now cleaned and ready for data analysis. Identified and removed csv analyzer for superstore dataset. (Sorry about that, but we can’t show files that are this big right now. The dataset includes order details, anonymized customer information, product specifics, and 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, 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. View raw (Sorry about that, but we can’t show files that are this big right now. You signed out in another tab or window. Skip to content. Advanced Security. This is a detailed analysis Most of the data sets used in projects I've worked on - nisargaRavikumar/DATASETS Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. update: SQL file of superstore has been improved with name new_superstore. Saved searches Use saved searches to filter your results more quickly Host and manage packages Security Superstore. Dataset containing Sales & Profits of a Superstore. - Wunmi Refresh. Applied different Visualization techniques on the ~dashboard showcase~ Super Sample Superstore. Automate any workflow Packages. Available in csv, xlsx and sql format. It simulates sales data from a fictional GitHub community articles Repositories. Tool Used GitHub community articles Repositories. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear Nowadays, industries adopt data science to better understand their customer’s activity and differentiate their offerings from their competitor. You switched accounts on another tab Saved searches Use saved searches to filter your results more quickly Superstore Sales Dataset 2015 – 2018. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. GitHub community articles Repositories. You signed in with another tab or window. Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional performance, and This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Navigation Menu Toggle navigation. 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. After finishing the data cleaning,now the requirement is to convert the cleaned csv to sql file and create a table called "superstore" in the PHP Admin. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. 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. You switched accounts on another tab #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the This is an EDA project with a Superstore Dataset from GitHub - Superstore-Dataset/Sample - Superstore. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Find and fix vulnerabilities This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. copy() df. You switched accounts on another tab or window. The objective of this project is to create a comprehensive Tableau dashboard utilizing the superstores sales dataset to provide key insights into sales trends, regional distribution, and product performance. AI-powered developer platform Superstore. sql. By leveraging various data visualization tools and implementing advanced analytics, the project provides data-driven insights and precise sales forecasting. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. This assignment is based on the Superstore Dataset Provided in "csv" format. 💼 Here's a quick overview of what you'll find in the dashboard: Welcome to the Global Superstore Sales Analysis GitHub repository! This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. . The dataset About. Reload to refresh your session. Blame. Along with the the dataset there two tasks solved in this repository. Contribute to allen-0007/csv-analyzer development by creating an account on GitHub. Superstore_cleaned_dataset. The data can be accessed via this link. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. Explore the You signed in with another tab or window. ) Contribute to Ayush5696/SuperStore Original dataset taken from Tableau public dataset website. 33 MB. To Save Design details. Find and fix vulnerabilities Codespaces. Some 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 Datasets. csv" file containing detailed information about each sales made by the store. Contribute to mimansha98/Tableau_Dashboards development by creating an account on GitHub. Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional performance, and customer segmentation. Sign in Product Actions. The data was sourced from Kaggle in CSV format. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. ahvxq bhka bqi xzdab fzdw jyisn jpnfxg mdyke iejguv gezlr