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Superstore dataset csv github The dataset subcategorized these This repository contains a data visualization project analyzing the SuperStore Sales Dataset. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Sign in Product Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. AI-powered developer platform Available add-ons. The three categories all account for over 30% of sales You signed in with another tab or window. Dataset containing Sales & Profits of a Superstore. csv at master · plotly/datasets csv analyzer for superstore dataset. Contribute to apoorva2796/DataSet development by creating an account on GitHub. Instant dev environments This is a practice project which I did to polish up my Excel skills. github. 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. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. - MarymAhmd/Superstore-Sales-Performance You signed in with another tab or window. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Here’s the source link for the dataset that I have used for this project — superstore. 20 lines (20 loc) · 478 Bytes. ; Exploratory Data Analysis I conducted a sales analysis of a supermarket store and derived several key insights. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. csv at main · Nrj27/Sample-Superstore-Dataset-Analysis Write better code with AI Security. Raw. 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. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. Topics Trending Collections Pricing Superstore_Dataset. GitHub community articles Repositories. describe() Lets see if data cleaning is required check for duplicated rows in the dataset. This tool generates a SQL script which creates the database with its tables, columns and constraints from its ERD, and runs this script to have the database ready in The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. Write better code with AI Code review. This project is an analysis of the Sample SuperStore dataset. The project focuses on sales, profit, and customer metrics, with interactive insights provided through a dashboard. 💼 Here's a quick overview of what you'll find in the dashboard: The aim of this work is to analyze a dataset of purchases in an anonymous online store. Sales, profits, shipping modes were analyzed on country, state and regional bases. Contribute to kulture56/USA-Dataset-2019-2022-Data-Analysis-Report development by creating an account on GitHub. com . Datasets used in Plotly examples and documentation - datasets/diabetes. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the You signed in with another tab or window. EDUNET IBM SKILLSBUILD DATA ANALYSIS PROJECT. js"></script> This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Savio for educational purposes only, in the fields of AI Machine Learning using Python and R, Data Visualization using Tableau, Business Analytics, Big Data using Hadoop and Spark, and Advanced Excel among several others. EDA- To Explore Business Analytics¶ Objective: Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ EDA is Exploratory and Explanatory Data Analysis. The data has 51290 rows, and 24 columns. 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 clustering. 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 Background A Superstore operates across multiple regions, selling a diverse range of products including furniture, office supplies, and technology. Navigation Menu GroceryStoreDataSet. Find and fix vulnerabilities The Superstore dataset is a publicly available dataset that contains sales data for a fictional company. txt and test. Explore the code and You signed in with another tab or window. They want to launch a new offer - gold membership, that gives a 20% discount on all purchases, for only 499 dollar (usually 999 dollar on other days). Additionally, I attempted to forecast sales for the next 15 days. Ideal for analysis and modeling, the data is available in CSV format. - EU-Superstore/Sample - EU Superstore. Code. Contribute to prasertcbs/basic-dataset development by creating an account on GitHub. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. df. Instant dev environments Dataset: Analysis of Super Store - DA. This project uses the Global We read every piece of feedback, and take your input very seriously. The Dataset contains details of a retail store like Order Date, Ship Date, Order Address, Sales, Profit, etc. Contribute to Natasha-Data/Datasets development by creating an account on GitHub. Topics Trending Collections Enterprise Enterprise platform. This is an EDA project with a Superstore Dataset from GitHub - Superstore-Dataset/Sample - Superstore. Automate any workflow Codespaces. Plan and track work Code Review. You switched accounts on another tab or window. 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 get insights usi Saved searches Use saved searches to filter your results more quickly This repository contains a comprehensive data analysis project on the Global Superstore dataset. Once you have the dataset, the next step is to import it into our Python environment using the Pandas 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, Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. set_index("Date", inplace=True) Lets see how our dataset looks now. The data can be accessed via this link. OK, Got it. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Sign in Product GitHub community articles Repositories. - GithubSafa/SuperStoreDataAnalysis You signed in with another tab or window. Contribute to mrobleto/dataset-files development by creating an account on GitHub. Deleted the Datasets. Write better code with AI Security. ; Rating Analysis: Computing average ratings and comparing them based on different conditions. Write better code with AI Security SuperStoreOrders Dataset. Nowadays, industries adopt data science to better understand their customer’s activity and differentiate their offerings from their competitor. - Ashesh564/Superstore-Sales-Analysis Given the insights gained from the EDA, the superstore can choose to remove non-profitable products or invest in marketing efforts for products, segments and geographical areas that are driving their profit. - MarymAhmd/Superstore-Sales-Performance In this project i have used SQL & Excel to analyze a real-world database, extracted the most useful information from the dataset using Excel, used a structured query language to retrieve usef Superstore Data Analysis using SQL. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset Superstore Sales Dataset 2015 – 2018. It is a Global Superstore Dataset showing sales record detailing the shipping records of items categorized under Technology, Office Supplies and Furniture. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. S These datasets and files are used by Prof. . Contribute to himanshusoni93/DataSets- development by creating an account on GitHub. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. The dataset, from Instacart, comprises 3M+ grocery orders by 200K+ users. csv at master · ANANYAJENA/Datasets Sales Analysis of a Retail store using Power BI. Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Superstore-Marketing-Campaign-Dataset Third mini project A superstore is planning for the year-end sale. The dataset includes information on product sales, customer demographics, and sales transactions. In dataset analysis, you can view the best app 5-star rating app, most review app, or most downloa Personal Project. Manage code changes Contribute to snehajha11/SuperStore-Sales development by creating an account on GitHub. Find and fix vulnerabilities it is the Global Superstore dataset obtained from Kaggle. Skip to content. Three datasets were provided by the company. This project uses the Global Superstore dataset, which is open source and available on Kaggle. The Power BI dashboard provides actionable insights for improving business strategies. Most of the data sets used in projects I've worked on - nisargaRavikumar/DATASETS. - datasets/store_data_association_rules. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore Host and manage packages Security Google PlayStore App dataset. Global Super Store from Kaggle. This project Datesets for learning Tableau. The implementation of the ER-Diagram (Entity Relationship Diagram) of the database on MySQL Workbench. Python数据分析入门与实战代码. - ManasviKa The primary goal of this project is to analyze sales trends, customer segments, and product performance based on a historical dataset of store transactions. csv About 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. 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. Available in csv, xlsx and sql format. xls at master · ARAPIL/EU-Superstore Superstore Sales Dataset 2015 – 2018. This tool generates a SQL script which creates the database with its tables, columns and constraints from its ERD, and runs this script to have the database ready in Write better code with AI Security. From importing and cleaning data to crafting advanced charts and forecasting, this project has been a labor of love. I downloaded the Global Superstore Orders 2016. The store aims to enhance its decision-making process by utilizing data-driven insights to monitor sales performance, manage inventory, and understand Contribute to Koushik-45/Super-store-sales development by creating an account on GitHub. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. Getting Started. csv at main · michaelrollins23/Superstore-Dataset This project focuses on analyzing and visualizing the Superstore Sales Data using Power BI to derive actionable business insights. AI-powered developer platform This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Manage code changes About This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. Host and manage packages Security. In dataset analysis, you can view the best app 5-star rating app, most review app, or most downloa 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 You signed in with another tab or window. Categories and sub categories. 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. The dataset includes order details, anonymized customer information, product specifics, and Clone this repository at <script src="https://gist. df2= df. Applied different Visualization techniques on the GitHub Gist: instantly share code, notes, and snippets. Superstore_cleaned_dataset. The sample was taken from the legendary dataset Here’s the source link for the dataset that I have used for this project — superstore. The analysis of the Superstore dataset includes the following: An analysis of the global superstores dataset. -PowerBI 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. - WMF07/SuperStore-SalesDashboard You signed in with another tab or window. Analyzing and Visualizing the Superstore Dataset using Looker Studio. update: SQL file of superstore has been improved with name new_superstore. Key insights include sales trends, profit analysis, customer segmentation, and regional performance visualization. The dataset is in a CSV format with 51,290 observations and 24 features. This project focuses on creating a robust database "Superstore Sales Analysis" conducts comprehensive data exploration and hypothesis testing to derive actionable insights for optimizing sales strategies and increasing profitability in a You signed in with another tab or window. Clone the repository and open the '. csv #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. Blame. Contribute to sandeep347/SuperStoreData development by creating an account on GitHub. By analysing this dataset, the project seeks to uncover patterns, trends, and factors influencing the store's performance to facilitate informed Learning :- Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving busin Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. This analysis was conducted as a task assigned by Vikot Solutions limited. The data can be found and downloaded here: Our data consists of ~10,000 products bought in ~5,000 orders made by Superstore Sales and profit. Enterprise-grade AI A Tableau Project. Now that we've come a long way of exploring our superstore. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. 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. ; Price and Genre Insights: Analyzing how app prices and genres affect user ratings. Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. GitHub Copilot. Contribute to Faith0225/supermarket development by creating an account on GitHub. Utilizing Power BI, this project delves into various aspects such as overall Superstore Sales Dataset 2015 – 2018. The data was sourced from Kaggle in CSV format. csv with basic of data scientist procedures - hanjes15/dataset_superstore_simple-analysis. Preview. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Combining new marketing strategies with word-of-mouth recommendations is become very You signed in with another tab or window. df Original dataset taken from Tableau public dataset website. Find and fix vulnerabilities Utilizing data analysis techniques , specifically focusing on time series analysis to provide valuable insights and accurate sales forecasts. To get started with this project, you'll need to have access to Google Colab. Contribute to bipulshahi/Dataset development by creating an account on GitHub. 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. datascience powerbi tableau sample datasets. - Sweety-k/SuperStore. Using libraries like Matplotlib, Seaborn, and Plotly, you can create a wide range of visual representations This Github repository contains a US superstore dataset with customer, product, and revenue information. You signed in with another tab or window. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. superstore_dataset. Navigation Menu Toggle navigation. sql. Contribute to homeez/CustomerPerformance development by creating an account on GitHub. The project analyzes the Superstore dataset to uncover insights on profitable product categories, regions with high sales and profit, and the most profitable products. head() Lets check some Statistics for our data. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. Instant dev environments superstore_dataset. You can access the dataset here. we will identify and assess the features of our Superstore Dataset: We will process and clean our data with the help of Excel as the file is already a CSV file so a look through of our data with Excel can be ideal to: Contribute to RishabLal/Analysis_Of_Superstore_Dataset development by creating an account on GitHub. txt , val. Contribute to Ayush5696/SuperStore development by creating an account on GitHub. com/giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90. Contribute to aayushvijay23/SuperStore-DataSet-Analysis development by creating an account on GitHub. Contribute to mimansha98/Tableau_Dashboards development by creating an account on GitHub. Explore trends, patterns, and key metrics to inform strate You signed in with another tab or window. Top. csv at master · SavioSal/datasets So now the dataset is very clean and ready to be exported to csv file with UTF-8 encoding. Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. Once you have the dataset, the next step is to import it into our Python environment using the Pandas DataWarehouse of an online retail shop named "SuperStore" with a 4 years order records (2011-2014) - wicky00/OnlineRetailSSIS a collection of Dataset from various sources. Developed an interactive Power BI dashboard to analyze Super Store sales data across key metrics, This project demonstrates expertise in data visualization, enabling data-driven decision-making to enhance business strategy. Find and fix vulnerabilities Navigation Menu Toggle navigation. Find and fix vulnerabilities Codespaces. Contribute to allen-0007/csv-analyzer development by creating an account on GitHub. csv dataset, it's time to dive a little bit deeper of what, both Python and Pandas capable of delivering. In this case, we will perform EDA on the "SampleSuperstore" dataset to better The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Contribute to johnreygoh/datasets development by creating an account on GitHub. Find and fix vulnerabilities Actions. Utilizing Power BI, this project delves into various aspects such as overall Analyzing and Visualizing the Superstore Dataset using Looker Studio. BI QUESTIONS. Sign in Product Write better code with AI Code review. (Sorry about that, but we can’t show files that are this big right now Welcome to the SuperStore Sales Dashboard project! As a fellow data enthusiast, I'm excited to share with you this comprehensive Power BI project that transformed raw data into actionable insights. Along with the the dataset there two tasks solved in this repository. 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. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. a collection of Dataset from various sources. Data visualization with Python is a crucial technique for interpreting complex data sets. The dataset is in CSV format, The project involves the following key tasks: Data Cleaning and Transformation: Preparing the dataset for analysis by converting data types and filtering relevant information. By identifying these factors, actionable recommendations will be provided to enhance revenue and profitability for the company. It includes order specifics, product sequences, order timing, and aisle/department info. AI-powered developer platform Superstore Sales Analysis Using Power BI :This project involves analyzing Superstore sales data using Power BI. File metadata and controls. csv. Explore the code and reports to gain insights into sales performance, customer behavior, and Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore. Utilizing data analysis methods, with a focus on time series analysis, to provide valuable insights, precise sales predictions, and the development of interactive dashboards, contributing to the ac Superstore dataset Link superstore_dataset. Here i pushed most frequently charts that used for data visualization in Data Science. The SampleSuperstore dataset contains information about a fictional superstore's sales, profit, and other related attributes. - GitHub - Jayant110/Superstore-Sales-SQL-Power-BI: This Github repository contains a US superstore dataset with customer, product, and revenue information. 3 million App Data) and 24 attributes - gauthamp10/Google-Playstore-Dataset GitHub community articles Repositories. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. How to use the dataset The files train. Enterprise-grade security features GitHub Copilot. Database implementation using Forward Engineer tool. Advanced Security. (Sorry about that, but we can’t show files that are this big right now ER-Diagram of the Data Model. 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. Let's try to create a custom class in Python by Most of the data sets used in projects I've worked on - DATASETS/superstore. The project includes data cleaning, transformation, and exploratory data analysis (EDA) using MySQL 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 data has been visualized using charts and bar plots to elevate the information in the data and present it to the stakeholders. csv as data source. xlsx onto my desktop. I used i dataset called SuperStore_data. Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. Reload to refresh your session. The primary goal of this project is to analyze sales trends, customer segments, and product performance based on a historical dataset of store transactions. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. I've analysed the data and gained valuable insights through it Write better code with AI Security. 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 The Dataset used was found on Kaggle. In response to escalating market competition, the Superstore seeks strategic insights to optimize products, regions, categories, and customer segments. Contribute to aryengoyal/Superstore-Sales-Data-Analysis development by creating an account on GitHub. (2. Sign in Product GitHub Copilot. This assignment is based on the Superstore Dataset Provided in "csv" format. 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. For deploying customer segmentation in e-commerce, data mining approaches like clustering and subgroup discovery will be used. Manage code changes Datasets used in Plotly examples and documentation - datasets/diabetes. EU Superstore data was analyzed and visualized. csv at main · roy628182/GitHub-repository-on-Pandas-with-a A data analysis solution using Azure Data Lake Storage, Azure Data Factory, and Power BI to integrate, process, and visualize supermarket sales and revenue data for actionable insights. csv at main · anwarraif/R_ExploratoryDataAnalysis ER-Diagram of the Data Model. Resources Data Analysis Report. 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. csv at master · plotly/datasets You signed in with another tab or window. csv is now cleaned and ready for data analysis. Learn more. csv at master · nisargaRavikumar/DATASETS. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders. Find and fix vulnerabilities Analysis of Sample SuperStore Dataset. Analysis. About. The Superstore dataset consists of 21 columns and 99,944 rows, offering a comprehensive view of the company's operations. 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. Contribute to avrajit007/Tableau-Datasets development by creating an account on GitHub. Find and fix vulnerabilities how to analysis dataset_superstore_simple. This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. You signed out in another tab or window. - Sample-Superstore-Dataset-Analysis/Analysis of Super Store - DA. We read every piece of feedback, and take your input very seriously. - R_ExploratoryDataAnalysis/Dataset Global Superstore. The aim of this work is to analyze a dataset of purchases in an anonymous online store. I've performed Exploratory Data Analysis on the dataset SampleSuperstore. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. 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. Find and fix vulnerabilities Contribute to vy-loc/global-superstore-dataset development by creating an account on GitHub. In this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region Analysis using EDA and Regression. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. Some improvement like data type and value of the column has been formatted correctly without re-formatted for usage 超市数据分析. The dataset contains several attributes, including sales, profit, order date, ship date, and more. 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. Topics Trending Collections Enterprise Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. 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 You signed in with another tab or window. copy() df. oqymawu qth rez jigos qeej txufjcez eor jltnhqm kxxktn lgkmh

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